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gambling
compulsive behaviors
ammunition
assault rifle
black jack
Boko Haram
bondage
child abuse
cocaine
Daech
drug paraphernalia
explosion
gun
human trafficking
ISIL
ISIS
Islamic caliphate
Islamic state
mixed martial arts
MMA
molestation
national rifle association
NRA
nsfw
pedophile
pedophilia
poker
porn
pornography
psychedelic drug
recreational drug
sex slave rings
slot machine
terrorism
terrorist
Texas hold 'em
UFC
substance abuse
abuseed
abuseer
abusees
abuseing
abusely
abuses
aeolus
aeolused
aeoluser
aeoluses
aeolusing
aeolusly
aeoluss
ahole
aholeed
aholeer
aholees
aholeing
aholely
aholes
alcohol
alcoholed
alcoholer
alcoholes
alcoholing
alcoholly
alcohols
allman
allmaned
allmaner
allmanes
allmaning
allmanly
allmans
alted
altes
alting
altly
alts
analed
analer
anales
analing
anally
analprobe
analprobeed
analprobeer
analprobees
analprobeing
analprobely
analprobes
anals
anilingus
anilingused
anilinguser
anilinguses
anilingusing
anilingusly
anilinguss
anus
anused
anuser
anuses
anusing
anusly
anuss
areola
areolaed
areolaer
areolaes
areolaing
areolaly
areolas
areole
areoleed
areoleer
areolees
areoleing
areolely
areoles
arian
arianed
arianer
arianes
arianing
arianly
arians
aryan
aryaned
aryaner
aryanes
aryaning
aryanly
aryans
asiaed
asiaer
asiaes
asiaing
asialy
asias
ass
ass hole
ass lick
ass licked
ass licker
ass lickes
ass licking
ass lickly
ass licks
assbang
assbanged
assbangeded
assbangeder
assbangedes
assbangeding
assbangedly
assbangeds
assbanger
assbanges
assbanging
assbangly
assbangs
assbangsed
assbangser
assbangses
assbangsing
assbangsly
assbangss
assed
asser
asses
assesed
asseser
asseses
assesing
assesly
assess
assfuck
assfucked
assfucker
assfuckered
assfuckerer
assfuckeres
assfuckering
assfuckerly
assfuckers
assfuckes
assfucking
assfuckly
assfucks
asshat
asshated
asshater
asshates
asshating
asshatly
asshats
assholeed
assholeer
assholees
assholeing
assholely
assholes
assholesed
assholeser
assholeses
assholesing
assholesly
assholess
assing
assly
assmaster
assmastered
assmasterer
assmasteres
assmastering
assmasterly
assmasters
assmunch
assmunched
assmuncher
assmunches
assmunching
assmunchly
assmunchs
asss
asswipe
asswipeed
asswipeer
asswipees
asswipeing
asswipely
asswipes
asswipesed
asswipeser
asswipeses
asswipesing
asswipesly
asswipess
azz
azzed
azzer
azzes
azzing
azzly
azzs
babeed
babeer
babees
babeing
babely
babes
babesed
babeser
babeses
babesing
babesly
babess
ballsac
ballsaced
ballsacer
ballsaces
ballsacing
ballsack
ballsacked
ballsacker
ballsackes
ballsacking
ballsackly
ballsacks
ballsacly
ballsacs
ballsed
ballser
ballses
ballsing
ballsly
ballss
barf
barfed
barfer
barfes
barfing
barfly
barfs
bastard
bastarded
bastarder
bastardes
bastarding
bastardly
bastards
bastardsed
bastardser
bastardses
bastardsing
bastardsly
bastardss
bawdy
bawdyed
bawdyer
bawdyes
bawdying
bawdyly
bawdys
beaner
beanered
beanerer
beaneres
beanering
beanerly
beaners
beardedclam
beardedclamed
beardedclamer
beardedclames
beardedclaming
beardedclamly
beardedclams
beastiality
beastialityed
beastialityer
beastialityes
beastialitying
beastialityly
beastialitys
beatch
beatched
beatcher
beatches
beatching
beatchly
beatchs
beater
beatered
beaterer
beateres
beatering
beaterly
beaters
beered
beerer
beeres
beering
beerly
beeyotch
beeyotched
beeyotcher
beeyotches
beeyotching
beeyotchly
beeyotchs
beotch
beotched
beotcher
beotches
beotching
beotchly
beotchs
biatch
biatched
biatcher
biatches
biatching
biatchly
biatchs
big tits
big titsed
big titser
big titses
big titsing
big titsly
big titss
bigtits
bigtitsed
bigtitser
bigtitses
bigtitsing
bigtitsly
bigtitss
bimbo
bimboed
bimboer
bimboes
bimboing
bimboly
bimbos
bisexualed
bisexualer
bisexuales
bisexualing
bisexually
bisexuals
bitch
bitched
bitcheded
bitcheder
bitchedes
bitcheding
bitchedly
bitcheds
bitcher
bitches
bitchesed
bitcheser
bitcheses
bitchesing
bitchesly
bitchess
bitching
bitchly
bitchs
bitchy
bitchyed
bitchyer
bitchyes
bitchying
bitchyly
bitchys
bleached
bleacher
bleaches
bleaching
bleachly
bleachs
blow job
blow jobed
blow jober
blow jobes
blow jobing
blow jobly
blow jobs
blowed
blower
blowes
blowing
blowjob
blowjobed
blowjober
blowjobes
blowjobing
blowjobly
blowjobs
blowjobsed
blowjobser
blowjobses
blowjobsing
blowjobsly
blowjobss
blowly
blows
boink
boinked
boinker
boinkes
boinking
boinkly
boinks
bollock
bollocked
bollocker
bollockes
bollocking
bollockly
bollocks
bollocksed
bollockser
bollockses
bollocksing
bollocksly
bollockss
bollok
bolloked
bolloker
bollokes
bolloking
bollokly
bolloks
boner
bonered
bonerer
boneres
bonering
bonerly
boners
bonersed
bonerser
bonerses
bonersing
bonersly
bonerss
bong
bonged
bonger
bonges
bonging
bongly
bongs
boob
boobed
boober
boobes
boobies
boobiesed
boobieser
boobieses
boobiesing
boobiesly
boobiess
boobing
boobly
boobs
boobsed
boobser
boobses
boobsing
boobsly
boobss
booby
boobyed
boobyer
boobyes
boobying
boobyly
boobys
booger
boogered
boogerer
boogeres
boogering
boogerly
boogers
bookie
bookieed
bookieer
bookiees
bookieing
bookiely
bookies
bootee
booteeed
booteeer
booteees
booteeing
booteely
bootees
bootie
bootieed
bootieer
bootiees
bootieing
bootiely
booties
booty
bootyed
bootyer
bootyes
bootying
bootyly
bootys
boozeed
boozeer
boozees
boozeing
boozely
boozer
boozered
boozerer
boozeres
boozering
boozerly
boozers
boozes
boozy
boozyed
boozyer
boozyes
boozying
boozyly
boozys
bosomed
bosomer
bosomes
bosoming
bosomly
bosoms
bosomy
bosomyed
bosomyer
bosomyes
bosomying
bosomyly
bosomys
bugger
buggered
buggerer
buggeres
buggering
buggerly
buggers
bukkake
bukkakeed
bukkakeer
bukkakees
bukkakeing
bukkakely
bukkakes
bull shit
bull shited
bull shiter
bull shites
bull shiting
bull shitly
bull shits
bullshit
bullshited
bullshiter
bullshites
bullshiting
bullshitly
bullshits
bullshitsed
bullshitser
bullshitses
bullshitsing
bullshitsly
bullshitss
bullshitted
bullshitteded
bullshitteder
bullshittedes
bullshitteding
bullshittedly
bullshitteds
bullturds
bullturdsed
bullturdser
bullturdses
bullturdsing
bullturdsly
bullturdss
bung
bunged
bunger
bunges
bunging
bungly
bungs
busty
bustyed
bustyer
bustyes
bustying
bustyly
bustys
butt
butt fuck
butt fucked
butt fucker
butt fuckes
butt fucking
butt fuckly
butt fucks
butted
buttes
buttfuck
buttfucked
buttfucker
buttfuckered
buttfuckerer
buttfuckeres
buttfuckering
buttfuckerly
buttfuckers
buttfuckes
buttfucking
buttfuckly
buttfucks
butting
buttly
buttplug
buttpluged
buttpluger
buttpluges
buttpluging
buttplugly
buttplugs
butts
caca
cacaed
cacaer
cacaes
cacaing
cacaly
cacas
cahone
cahoneed
cahoneer
cahonees
cahoneing
cahonely
cahones
cameltoe
cameltoeed
cameltoeer
cameltoees
cameltoeing
cameltoely
cameltoes
carpetmuncher
carpetmunchered
carpetmuncherer
carpetmuncheres
carpetmunchering
carpetmuncherly
carpetmunchers
cawk
cawked
cawker
cawkes
cawking
cawkly
cawks
chinc
chinced
chincer
chinces
chincing
chincly
chincs
chincsed
chincser
chincses
chincsing
chincsly
chincss
chink
chinked
chinker
chinkes
chinking
chinkly
chinks
chode
chodeed
chodeer
chodees
chodeing
chodely
chodes
chodesed
chodeser
chodeses
chodesing
chodesly
chodess
clit
clited
cliter
clites
cliting
clitly
clitoris
clitorised
clitoriser
clitorises
clitorising
clitorisly
clitoriss
clitorus
clitorused
clitoruser
clitoruses
clitorusing
clitorusly
clitoruss
clits
clitsed
clitser
clitses
clitsing
clitsly
clitss
clitty
clittyed
clittyer
clittyes
clittying
clittyly
clittys
cocain
cocaine
cocained
cocaineed
cocaineer
cocainees
cocaineing
cocainely
cocainer
cocaines
cocaining
cocainly
cocains
cock
cock sucker
cock suckered
cock suckerer
cock suckeres
cock suckering
cock suckerly
cock suckers
cockblock
cockblocked
cockblocker
cockblockes
cockblocking
cockblockly
cockblocks
cocked
cocker
cockes
cockholster
cockholstered
cockholsterer
cockholsteres
cockholstering
cockholsterly
cockholsters
cocking
cockknocker
cockknockered
cockknockerer
cockknockeres
cockknockering
cockknockerly
cockknockers
cockly
cocks
cocksed
cockser
cockses
cocksing
cocksly
cocksmoker
cocksmokered
cocksmokerer
cocksmokeres
cocksmokering
cocksmokerly
cocksmokers
cockss
cocksucker
cocksuckered
cocksuckerer
cocksuckeres
cocksuckering
cocksuckerly
cocksuckers
coital
coitaled
coitaler
coitales
coitaling
coitally
coitals
commie
commieed
commieer
commiees
commieing
commiely
commies
condomed
condomer
condomes
condoming
condomly
condoms
coon
cooned
cooner
coones
cooning
coonly
coons
coonsed
coonser
coonses
coonsing
coonsly
coonss
corksucker
corksuckered
corksuckerer
corksuckeres
corksuckering
corksuckerly
corksuckers
cracked
crackwhore
crackwhoreed
crackwhoreer
crackwhorees
crackwhoreing
crackwhorely
crackwhores
crap
craped
craper
crapes
craping
craply
crappy
crappyed
crappyer
crappyes
crappying
crappyly
crappys
cum
cumed
cumer
cumes
cuming
cumly
cummin
cummined
cumminer
cummines
cumming
cumminged
cumminger
cumminges
cumminging
cummingly
cummings
cummining
cumminly
cummins
cums
cumshot
cumshoted
cumshoter
cumshotes
cumshoting
cumshotly
cumshots
cumshotsed
cumshotser
cumshotses
cumshotsing
cumshotsly
cumshotss
cumslut
cumsluted
cumsluter
cumslutes
cumsluting
cumslutly
cumsluts
cumstain
cumstained
cumstainer
cumstaines
cumstaining
cumstainly
cumstains
cunilingus
cunilingused
cunilinguser
cunilinguses
cunilingusing
cunilingusly
cunilinguss
cunnilingus
cunnilingused
cunnilinguser
cunnilinguses
cunnilingusing
cunnilingusly
cunnilinguss
cunny
cunnyed
cunnyer
cunnyes
cunnying
cunnyly
cunnys
cunt
cunted
cunter
cuntes
cuntface
cuntfaceed
cuntfaceer
cuntfacees
cuntfaceing
cuntfacely
cuntfaces
cunthunter
cunthuntered
cunthunterer
cunthunteres
cunthuntering
cunthunterly
cunthunters
cunting
cuntlick
cuntlicked
cuntlicker
cuntlickered
cuntlickerer
cuntlickeres
cuntlickering
cuntlickerly
cuntlickers
cuntlickes
cuntlicking
cuntlickly
cuntlicks
cuntly
cunts
cuntsed
cuntser
cuntses
cuntsing
cuntsly
cuntss
dago
dagoed
dagoer
dagoes
dagoing
dagoly
dagos
dagosed
dagoser
dagoses
dagosing
dagosly
dagoss
dammit
dammited
dammiter
dammites
dammiting
dammitly
dammits
damn
damned
damneded
damneder
damnedes
damneding
damnedly
damneds
damner
damnes
damning
damnit
damnited
damniter
damnites
damniting
damnitly
damnits
damnly
damns
dick
dickbag
dickbaged
dickbager
dickbages
dickbaging
dickbagly
dickbags
dickdipper
dickdippered
dickdipperer
dickdipperes
dickdippering
dickdipperly
dickdippers
dicked
dicker
dickes
dickface
dickfaceed
dickfaceer
dickfacees
dickfaceing
dickfacely
dickfaces
dickflipper
dickflippered
dickflipperer
dickflipperes
dickflippering
dickflipperly
dickflippers
dickhead
dickheaded
dickheader
dickheades
dickheading
dickheadly
dickheads
dickheadsed
dickheadser
dickheadses
dickheadsing
dickheadsly
dickheadss
dicking
dickish
dickished
dickisher
dickishes
dickishing
dickishly
dickishs
dickly
dickripper
dickrippered
dickripperer
dickripperes
dickrippering
dickripperly
dickrippers
dicks
dicksipper
dicksippered
dicksipperer
dicksipperes
dicksippering
dicksipperly
dicksippers
dickweed
dickweeded
dickweeder
dickweedes
dickweeding
dickweedly
dickweeds
dickwhipper
dickwhippered
dickwhipperer
dickwhipperes
dickwhippering
dickwhipperly
dickwhippers
dickzipper
dickzippered
dickzipperer
dickzipperes
dickzippering
dickzipperly
dickzippers
diddle
diddleed
diddleer
diddlees
diddleing
diddlely
diddles
dike
dikeed
dikeer
dikees
dikeing
dikely
dikes
dildo
dildoed
dildoer
dildoes
dildoing
dildoly
dildos
dildosed
dildoser
dildoses
dildosing
dildosly
dildoss
diligaf
diligafed
diligafer
diligafes
diligafing
diligafly
diligafs
dillweed
dillweeded
dillweeder
dillweedes
dillweeding
dillweedly
dillweeds
dimwit
dimwited
dimwiter
dimwites
dimwiting
dimwitly
dimwits
dingle
dingleed
dingleer
dinglees
dingleing
dinglely
dingles
dipship
dipshiped
dipshiper
dipshipes
dipshiping
dipshiply
dipships
dizzyed
dizzyer
dizzyes
dizzying
dizzyly
dizzys
doggiestyleed
doggiestyleer
doggiestylees
doggiestyleing
doggiestylely
doggiestyles
doggystyleed
doggystyleer
doggystylees
doggystyleing
doggystylely
doggystyles
dong
donged
donger
donges
donging
dongly
dongs
doofus
doofused
doofuser
doofuses
doofusing
doofusly
doofuss
doosh
dooshed
doosher
dooshes
dooshing
dooshly
dooshs
dopeyed
dopeyer
dopeyes
dopeying
dopeyly
dopeys
douchebag
douchebaged
douchebager
douchebages
douchebaging
douchebagly
douchebags
douchebagsed
douchebagser
douchebagses
douchebagsing
douchebagsly
douchebagss
doucheed
doucheer
douchees
doucheing
douchely
douches
douchey
doucheyed
doucheyer
doucheyes
doucheying
doucheyly
doucheys
drunk
drunked
drunker
drunkes
drunking
drunkly
drunks
dumass
dumassed
dumasser
dumasses
dumassing
dumassly
dumasss
dumbass
dumbassed
dumbasser
dumbasses
dumbassesed
dumbasseser
dumbasseses
dumbassesing
dumbassesly
dumbassess
dumbassing
dumbassly
dumbasss
dummy
dummyed
dummyer
dummyes
dummying
dummyly
dummys
dyke
dykeed
dykeer
dykees
dykeing
dykely
dykes
dykesed
dykeser
dykeses
dykesing
dykesly
dykess
erotic
eroticed
eroticer
erotices
eroticing
eroticly
erotics
extacy
extacyed
extacyer
extacyes
extacying
extacyly
extacys
extasy
extasyed
extasyer
extasyes
extasying
extasyly
extasys
fack
facked
facker
fackes
facking
fackly
facks
fag
faged
fager
fages
fagg
fagged
faggeded
faggeder
faggedes
faggeding
faggedly
faggeds
fagger
fagges
fagging
faggit
faggited
faggiter
faggites
faggiting
faggitly
faggits
faggly
faggot
faggoted
faggoter
faggotes
faggoting
faggotly
faggots
faggs
faging
fagly
fagot
fagoted
fagoter
fagotes
fagoting
fagotly
fagots
fags
fagsed
fagser
fagses
fagsing
fagsly
fagss
faig
faiged
faiger
faiges
faiging
faigly
faigs
faigt
faigted
faigter
faigtes
faigting
faigtly
faigts
fannybandit
fannybandited
fannybanditer
fannybandites
fannybanditing
fannybanditly
fannybandits
farted
farter
fartes
farting
fartknocker
fartknockered
fartknockerer
fartknockeres
fartknockering
fartknockerly
fartknockers
fartly
farts
felch
felched
felcher
felchered
felcherer
felcheres
felchering
felcherly
felchers
felches
felching
felchinged
felchinger
felchinges
felchinging
felchingly
felchings
felchly
felchs
fellate
fellateed
fellateer
fellatees
fellateing
fellately
fellates
fellatio
fellatioed
fellatioer
fellatioes
fellatioing
fellatioly
fellatios
feltch
feltched
feltcher
feltchered
feltcherer
feltcheres
feltchering
feltcherly
feltchers
feltches
feltching
feltchly
feltchs
feom
feomed
feomer
feomes
feoming
feomly
feoms
fisted
fisteded
fisteder
fistedes
fisteding
fistedly
fisteds
fisting
fistinged
fistinger
fistinges
fistinging
fistingly
fistings
fisty
fistyed
fistyer
fistyes
fistying
fistyly
fistys
floozy
floozyed
floozyer
floozyes
floozying
floozyly
floozys
foad
foaded
foader
foades
foading
foadly
foads
fondleed
fondleer
fondlees
fondleing
fondlely
fondles
foobar
foobared
foobarer
foobares
foobaring
foobarly
foobars
freex
freexed
freexer
freexes
freexing
freexly
freexs
frigg
frigga
friggaed
friggaer
friggaes
friggaing
friggaly
friggas
frigged
frigger
frigges
frigging
friggly
friggs
fubar
fubared
fubarer
fubares
fubaring
fubarly
fubars
fuck
fuckass
fuckassed
fuckasser
fuckasses
fuckassing
fuckassly
fuckasss
fucked
fuckeded
fuckeder
fuckedes
fuckeding
fuckedly
fuckeds
fucker
fuckered
fuckerer
fuckeres
fuckering
fuckerly
fuckers
fuckes
fuckface
fuckfaceed
fuckfaceer
fuckfacees
fuckfaceing
fuckfacely
fuckfaces
fuckin
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The Bypassing the Blues trial: Collaborative care for post-CABG depression and implications for future research
Coronary artery bypass graft (CABG) surgery is one of the most common and costly medical procedures performed in the United States.1 However, up to one-half of post-CABG patients report significant increases in mood symptoms following surgery,2 and these individuals are more likely to report poorer health-related quality of life (HRQoL) and worse functional status,3 and to experience higher risk of rehospitalizations4 and death5 despite a satisfactory surgical result.
Strategies to detect and then manage depression in CABG patients and in cardiac populations are of great interest given the potential for depression treatment to reduce cardiovascular morbidity.
In recognition of the prevalence and excess burdens associated with this condition, a recent American Heart Association (AHA) Science Advisory has advocated regular screening and treatment of cardiac patients for depression.6 Yet, the Advisory has been controversial,7,8 as most depression treatment trials conducted in patients with cardiac disease have had less-than- anticipated impact on mood symptoms,7,9–14 cardiovascular morbidity,7,9,10,14 or mortality.7,9–11,13–15 Possible explanations include: (1) dependence solely on single antidepressant agents9,14 that, in general, are often ineffective,16 untolerated, or otherwise discontinued by patients17; (2) reliance on psychologic counseling in elderly, medically ill populations who may be either unwilling or unable to adhere to successive face-to-face encounters with a therapist10,13; (3) inadequate consideration of patients’ preferences for type and location of treatment18,19; (4) insufficient treatment adherence20,21; (5) perceived stigma of depression22; (6) brief duration of treatment and followup9,13,14; and (7) higher-than-expected spontaneous remission rates for depression.10,14
Over the past 15 years, numerous trials have supported use of the flexible real-world collaborative care approach to improve outcomes for depression27,28 as well as a variety of other chronic medical conditions29–32 and at a lower total cost of care.33,34 This strategy is supported even outside the framework of a trial.35,36 Moreover, collaborative care was the clinical framework37 for a Robert Wood Johnson Foundation program to realign clinical and financial incentives for providing sustainable high-quality depression treatment in primary care.38–41 It is also embraced by depression improvement initiatives supported by the MacArthur (http://www.depression-primarycare.org/)42 and Hartford (http://impact-uw.org/)43 Foundations. In recognition, a National Heart Lung and Blood Institute–sponsored working group on the assessment and treatment of depression in patients with cardiovascular disease endorsed testing of collaborative care strategies for treating depression in combination with “usual cardiologic care” as a method to improve clinical outcomes.23 Collaborative care has also emerged as an integral part of the “patient-centered medical home” model presently advocated by leading professional organizations to organize and reimburse PCPs for providing high-quality chronic illness care.44
Despite this interest in collaborative care, to date, only the “Bypassing the Blues” (BtB) trial has reported the impact of this depression treatment strategy on the clinical outcomes of a population with cardiac disease.45 In an effort to help disseminate collaborative care more broadly into routine practice as envisioned by the AHA Science Advisory, we pre sent the key design elements and main outcome findings from BtB, along with our efforts to improve upon and expand the model for testing in other cardiac conditions.
STUDY OVERVIEW
IDENTIFICATION OF DEPRESSION
Applying the two-step Patient Health Questionnaire (PHQ) depression screening strategy recently endorsed by the AHA Science Advisory,6 BtB recruited medically stable post-CABG patients prior to hospital discharge from seven Pittsburgh-area hospitals between 2004 and 2007. To support our recruitment efforts, we developed press releases, wall posters, newsletter articles, and brochures to inform physicians, hospital staff, patients and their families about the impact of depression on cardiovascular disease and our study (available for download at: www.bypassingtheblues.pitt.edu).
Study nurse-recruiters obtained patients’ signed informed consent to undergo screening with the two-item PHQ-222 (“Over the past 2 weeks have you had: little interest or pleasure in doing things or “felt down, depressed, or hopeless?”).47 We defined a positive PHQ-2 depression screen as patient endorsement of one or both of its items (90% sensitive and 69% specific for major depression among patients with cardiac disease when measured against the “goldstandard” Diagnostic Interview Schedule48).
The psychologic and physical symptoms of depression often overlap with the post-CABG state (eg, fatigue, sleeplessness) and these elevations in depressive symptoms frequently remit spontaneously. Therefore, we administered the nine-item PHQ-949 over the telephone 2 weeks following hospital discharge to confirm the PHQ-2 screen. We required that patients score at least 10 to remain protocol-eligible, a threshold that signified at least a moderate level of depressive symptoms49 and has been described as “virtually diagnostic” for depression among patients with cardiac disease (90% specific).48
ASSESSMENT AND OUTCOME MEASURES
Upon confirmation of all protocol-eligibility criteria prior to randomization, we conducted a detailed baseline telephone assessment that included the SF-3650 to determine mental (MCS) and physical (PCS) HRQoL, the 12-item Duke Activity Status Index (DASI)26 to determine disease-specific physical functioning, and the 17-item Hamilton Rating Scale for Depression (HRS-D)27 to track mood symptoms. Telephone assessors blinded as to randomization status readministered these measures at 2, 4, and 8 months’ followup and routinely inquired about any hospitalizations and mental health visits patients may have experienced since their last telephone assessment. Whenever they detected a potential “key event,” we requested a copy of relevant medical records from the hospital where the event occurred. These were then forwarded to a physician adjudication committee that was blinded as to the patient’s depression and intervention status to classify the nature of the event (cardiovascular, psychiatric, or “other”).
COLLABORATIVE CARE INTERVENTION
Following randomization, a nurse care manager telephoned each intervention patient to: (1) review his or her psychiatric history, including use of any prescription medications, herbal supplements, or alcohol to self-medicate depressive symptoms; and (2) provide education about depression, its impact on cardiac disease, and basic advice for managing the condition (eg, exercise, sleep, social contact, alcohol avoidance); and (3) assess the patient’s treatment preferences for depression.
Using a shared decision-making approach, patients then selected one or more of the following treatment options: (1) a workbook designed to impart self-management skills for managing depression51; (2) antidepressant pharmacotherapy, primarily a selective serotonin-reuptake inhibitor (SSRI) chosen according to patient preference, prior usage, and insurance coverage, but prescribed by the patient’s PCP46; (3) referral to a local mental health specialist in keeping with the patient’s insurance coverage; and (4) “watchful waiting” if the patient’s mood symptoms were only mildly elevated and he or she had no prior history of depression.
Afterward, the nurse care manager telephoned the patient approximately every other week during the acute phase of treatment to practice skills imparted through workbook assignments, monitor pharmacotherapy, promote adherence with recommended care, and suggest adjustments in treatment as applicable. Depending upon the patient’s motivation to complete workbook assignments and whether he or she accepted antidepressant pharmacotherapy, these followup contacts typically lasted 15 to 45 minutes and continued for 2 to 6 months. The patient subsequently transitioned to the “continuation phase” of treatment, during which the care manager contacted him or her less frequently until the end of our 8-month intervention.
WEEKLY CASE REVIEW
Following discussion, the clinical team typically formulated one to three treatment recommendations that the nurse conveyed to the patient via telephone. As PCPs were responsible for prescribing all medications and dosage adjustments, we conveyed pharmacologic recommendations to them via telephone or fax. PCPs could accept or reject these recommendations at their discretion. If the patient demonstrated little response, had complex psychosocial issues (eg, impending divorce), or had an uncertain diagnosis (eg, bipolar disorder), we typically recommended referral to a mental health specialist. At quarterly intervals and at the end of the 8-month intervention, we mailed the PCP a summary of the patient’s progress that included antidepressant dosages, PHQ-9 scores, and other pertinent information.46
PROMOTING MEDICATION ADHERENCE
To promote adherence with our treatment recommendations, our nurse care managers offered to call in antidepressant prescriptions to patients’ pharmacies under their PCP’s verbal orders, and then forwarded an order sheet for the PCP to sign and return to document it.
Some patients agreed to a trial of antidepressant pharmacotherapy but then declined or quickly discontinued it because of cost, side effects, or concerns about dependence, safety, or stigma. In these instances, particularly if the patient remained symptomatic, care managers attempted to overcome the patient’s reluctance using various motivational interviewing approaches. Care managers also provided educational materials, including the workbook,51 to mitigate any concerns, and emphasized they would monitor the patient’s clinical status closely and report back to the clinical team and the patient’s PCP for ongoing guidance. The care manager also informed the PCP of the patient’s reason(s) for nonadherence, raising the possibility that the clinician could help overcome the patient’s resistance.
OUTCOMES
Self-reported measures
PROCESSES OF CARE
Of the 150 patients randomized to our collaborative care intervention, 146 (97%) had one or more telephone care manager contacts and 83% had three or more contacts by the 4-month followup. At the 8-month conclusion of our intervention, the median number of care manager contacts per patient was 10 (range: 1–28). The proportion of intervention patients using antidepressants also increased from 15% at baseline to 44% by 8 months, and 4% reported a visit to a mental health specialist. In comparison, 31% (P = .05) and 6% (NS) of usual-care patients, respectively, were using an antidepressant or saw a mental health specialist during this period.45
HEALTH SERVICES UTILIZATION
Depressed patients reported a similar 8-month incidence of all-cause (33% intervention vs 32% usual care) and cardiovascular-cause (15% vs 18%) rehospitalizations by randomization status. However, male intervention subjects tended to have a lower incidence of cardiovascular-cause rehospitalizations than men randomized to usual care (13% vs 23%; P = .07) and one that was similar to that of nondepressed BtB male post-CABG patients (13%). Notably, we did not observe a similar pattern among female patients enrolled in BtB. To better examine the “business case” for treating post-CABG depression, we are presently analyzing claims data from Medicare and from two large western Pennsylvania insurance providers and hope to report these analyses shortly.
DISCUSSION
BtB was the first trial to examine the impact of a real-world collaborative care strategy for treating depression in post-CABG patients or in any other cardiac population. The generalizability of our treatment strategy is enhanced by multiple design features including: (1) use of a brief, validated, two-stage PHQ depression screening procedure that was endorsed by the AHA and can be routinely implemented by nonresearch clinical personnel; (2) a centralized telephone-delivered intervention; (3) reliance on a variety of safe, effective, simple-to-dose and increasingly generic pharmacotherapy options, a commercially available workbook, and community mental health specialists to deliver step-up care; (4) consideration of patients’ prior treatment experiences, current care preferences, and insurance coverage when recommending care; (5) use of trained nurses as care coordinators across treatment delivery settings and providers across state lines; and (6) an informatics infrastructure designed to document and promote delivery of evidence-based depression treatment, care coordination, and efficient internal operations.
The ES improvement in HRS-D we observed in the BtB trial was at the upper end of a meta-analysis of 37 collaborative care trials for depression involving 12,355 primary care patients (ES: 0.25; 0.18–0.32).27 It compared favorably with the improvements reported by the ENRICHD (Enhancing Recovery in Coronary Heart Disease Patients) randomized trial (ES: 0.22; 0.11–0.33),10 the SADHART (Sertraline Antidepressant Heart Attack Randomized Trial) (ES: 0.14; −0.06–0.35),9 and the citalopram arm of the CREATE (Canadian Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy) trial (ES: 0.29; 0.05–0.52).13 However, our ES improvement was smaller than those generated by the more laborintensive and face-to-face interventions provided by Freedland et al’s trial of cognitive behavioral therapy (CBT) for post-CABG depression (ES: 0.73; 0.29–1.20; N = 123),15 the COPES (Coronary Psychosocial Evaluation Studies) trial of problem-solving therapy (ES: 0.59; 0.18–1.00) that was the first to report a significant reduction in major adverse cardiac events from treating depression,15,56 or a recent meta-analysis of psychologic treatments in patients with medical disorders (ES: 1.00; 0.57–1.44).57
Although the BtB intervention focused on depressed post-CABG patients, it is also generalizable to patients with other cardiovascular conditions. Moreover, the model can be readily adapted into practices at a variety of integrated health care delivery systems.58 Therefore, we believe collaborative care interventions such as ours will become more widespread as elements of the 2010 Affordable Care Act are phased in.
FUTURE DIRECTIONS
Despite positive outcomes on HRQoL and mood symptoms generated by BtB and other recent trials,15,56 it remains unclear whether effective depression treatment can reduce cardiovascular morbidity and mortality. Given the trend toward a reduced incidence of rehospitalization for cardiovascular causes among depressed male patients in BtB and findings from COPES56 and other trials,7 we believe a comparative effectiveness trial of reasonable size (N < 2,000 study subjects) and cost will require an intervention capable of producing an ES reduction in mood symptoms of at least 0.50. Furthermore, because of declines in morbidity and mortality over the past decade following CABG surgery and myocardial infarction,1 we also believe heart failure remains the only prevalent cardiovascular disorder for which to conduct this future comparative effectiveness trial.
Because an improvement of at least 0.50 ES in mood symptoms is higher than the ES improvements presently generated by collaborative care treatment approaches, it is critical to develop new interventions that blend the scalability and patient acceptability of telephone-delivered collaborative care with the greater efficacy of more intensive face-to-face counseling strategies. To address this need, we are investigating how best to incorporate Internet-delivered computerized cognitive behavioral therapy (CCBT) and other online strategies for treating depression into the BtB model. CCBT is a new and evolving technology that can improve patients’ access to personalized, convenient, and effective treatment for depression.59 Used primarily in the United Kingdom, Australia, and the Netherlands, CCBT has attracted growing interest by US investigators.60 Importantly, some CCBT programs are able to produce the ES improvements in mood symptoms needed to potentially demonstrate a reduction of cardiovascular morbidity61 and do so reliably, at scale, and at low cost compared with more labor-intensive methods of care.62–64 Still, pilot testing of this innovative treatment approach is necessary to evaluate: (1) whether CCBT will be as effective among depressed patients with cardiovascular disease as among those recruited from primary care settings; (2) how best to integrate CCBT within a collaborative care program linked to cardiovascular patients’ usual sources of cardiac and primary care; and (3) whether incorporating Internet-delivered CCBT into a “traditional” collaborative care program that provides active follow-up, pharmacotherapy monitoring, and mental health specialty referral as options provides either no additional benefit (ES ∼0.30), benefit approaching that of CCBT alone (ES: ∼0.60),61 or an additive or synergistic benefit approaching face-to-face CBT (ES: ≥ 0.80).15,65 Findings from these studies could also have profound implications for changing the way both cardiovascular and mental health conditions are treated66 and direct further attention to the emerging field of e-mental health by other US investigators.60
- Lloyd-Jones D, Adams RJ, Brown TM, et al. Heart disease and stroke statistics—2010 update: a report from the American Heart Association. Circulation 2010; 121:e46–e215.
- Pignay-Demaria V, Lespérance F, Demaria R, Frasure-Smith N, Perrault LP. Depression and anxiety and outcomes of coronary artery bypass surgery. Ann Thorac Surg 2003; 75:314–321.
- Goyal TM, Idler EL, Krause TJ, Contrada RJ. Quality of life following cardiac surgery: impact of the severity and course of depressive symptoms. Psychosom Med 2005; 67:759–765.
- Oxlad M, Stubberfield J, Stuklis R, Edwards J, Wade TD. Psychological risk factors for cardiac-related hospital readmission within 6 months of coronary artery bypass graft surgery. J Psychosom Res 2006; 61:775–781.
- Blumenthal JA, Lett HS, Babyak MA, et al. Depression as a risk factor for mortality after coronary artery bypass surgery. Lancet 2003; 362:604–609.
- Lichtman JH, Bigger JT, Blumenthal JA, et al. Depression and coronary heart disease: recommendations for screening, referral, and treatment: a science advisory from the American Heart Association Prevention Committee of the Council on Cardiovascular Nursing, Council on Clinical Cardiology, Council on Epidemiology and Prevention, and Interdisciplinary Council on Quality of Care and Outcomes Research: endorsed by the American Psychiatric Association. Circulation 2008; 118:1768–1775.
- Thombs BD, de Jonge P, Coyne JC, et al. Depression screening and patient outcomes in cardiovascular care: a systematic review. JAMA 2008; 300:2161–2171.
- Davidson KW, Korin MR. Depression and cardiovascular disease: selected findings, controversies, and clinical implications from 2009. Cleve Clin J Med 2010; 77( suppl 3):S20–S26.
- Glassman AH, O’Connor CM, Califf RM, et al; for the Sertraline Antidepressant Heart Attack Randomized Trial (SADHART) group. Sertraline treatment of major depression in patients with acute MI or unstable angina. JAMA 2002; 288:701–709.
- Berkman LF, Blumenthal J, Burg M, et al. Effects of treating depression and low perceived social support on clinical events after myocardial infarction: the Enhancing Recovery in Coronary Heart Disease Patients (ENRICHD) Randomized Trial. JAMA 2003; 289:3106–3116.
- van Melle JP, de Jonge P, Honig A, et al. Effects of antidepressant treatment following myocardial infarction. Br J Psychiatry 2007; 190:460–466.
- Strik JJ, Honig A, Lousberg R, et al. Efficacy and safety of fluoxetine in the treatment of patients with major depression after first myocardial infarction: findings from a double-blind, placebo-controlled trial. Psychosom Med 2000; 62:783–789.
- Lespérance F, Frasure-Smith N, Koszycki D, et al. Effects of citalopram and interpersonal psychotherapy on depression in patients with coronary artery disease: the Canadian Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy (CREATE) trial. JAMA 2007; 297:367–379.
- O’Connor CM, Jiang W, Kuchibhatla M, et al. Safety and efficacy of sertraline for depression in patients with heart failure: results of the SADHART-CHF (Sertraline Against Depression and Heart Disease in Chronic Heart Failure) trial. J Am Coll Cardiol 2010; 56:692–699.
- Freedland KE, Skala JA, Carney RM, et al. Treatment of depression after coronary artery bypass surgery: a randomized controlled trial. Arch Gen Psychiatry 2009; 66:387–396.
- Qaseem A, Snow V, Denberg TD, Forciea MA, Owens DK; Clinical Efficacy Assessment Subcommittee of American College of Physicians. Using second-generation antidepressants to treat depressive disorders: a clinical practice guideline from the American College of Physicians. Ann Intern Med 2008; 149:725–733.
- Kroenke K, West SL, Swindle R, et al. Similar effectiveness of paroxetine, fluoxetine, and sertraline in primary care: a randomized trial. JAMA 2001; 286:2947–2955.
- Cooper-Patrick L, Powe NR, Jenckes MW, Gonzales JJ, Levine DM, Ford DE. Identification of patient attitudes and p regarding treatment of depression. J Gen Intern Med 1997; 12:431–438.
- Dwight-Johnson M, Sherbourne CD, Liao D, Wells KB. Treatment p among depressed primary care patients. J Gen Intern Med 2000; 15:527–534.
- Carney RM, Freedland KE, Eisen SA, Rich MW, Jaffe AS. Major depression and medication adherence in elderly patients with coronary artery disease. Health Psychol 1995; 14:88–90.
- Ziegelstein RC, Fauerbach JA, Stevens SS, Romanelli J, Richter DP, Bush DE. Patients with depression are less likely to follow recommendations to reduce cardiac risk during recovery from a myocardial infarction. Arch Intern Med 2000; 160:1818–1823.
- Sirey JA, Bruce ML, Alexopoulos GS, et al. Perceived stigma as a predictor of treatment discontinuation in young and older outpatients with depression. Am J Psychiatry 2001; 158:479–481.
- Davidson KW, Kupfer DJ, Bigger JT, et al. Assessment and treatment of depression in patients with cardiovascular disease: National Heart, Lung, and Blood Institute Working Group Report. Psychosom Med 2006; 68:645–650.
- Asch SM, Baker DW, Keesey JW, et al. Does the collaborative model improve care for chronic heart failure? Med Care 2005; 43:667–675.
- Whooley MA. To screen or not to screen? Depression in patients with cardiovascular disease. J Am Coll Cardiol 2009; 54:891–893.
- Wagner EH, Austin BT, Von Korff M. Organizing care for patients with chronic illness. Milbank Q 1996; 74:511–544.
- Gilbody S, Bower P, Fletcher J, Richards D, Sutton AJ. Collaborative care for depression: a cumulative meta-analysis and review of longer-term outcomes. Arch Intern Med 2006; 166:2314–2321.
- Katon W, Unützer J, Wells K, Jones L. Collaborative depression care: history, evolution and ways to enhance dissemination and sustainability. Gen Hosp Psychiatry 2010; 32:456–464.
- DeBusk RF, Miller NH, Superko HR, et al. A case-management system for coronary risk factor modification after acute myocardial infarction. Ann Intern Med 1994; 120:721–729.
- Rich MW, Beckham V, Wittenberg C, Leven CL, Freedland KE, Carney RM. A multidisciplinary intervention to prevent the readmission of elderly patients with congestive heart failure. N Engl J Med 1995; 333:1190–1195.
- Williams JW, Katon W, Lin EH, et al. The effectiveness of depression care management on diabetes-related outcomes in older patients. Ann Intern Med 2004; 140:1015–1024.
- Wasson J, Gaudette C, Whaley F, Sauvigne A, Baribeau P, Welch HG. Telephone care as a substitute for routine clinic follow-up. JAMA 1992; 267:1788–1793.
- Coleman K, Austin BT, Brach C, Wagner EH. Evidence on the chronic care model in the new millennium. Health Aff (Millwood) 2009; 28:75–85.
- Simon GE, Katon WJ, Lin EH, et al. Cost-effectiveness of systematic depression treatment among people with diabetes mellitus. Arch Gen Psychiatry 2007; 64:65–72.
- Glasgow RE, Funnell MM, Bonomi AE, Davis C, Beckham V, Wagner EH. Self-management aspects of the improving chronic illness care breakthrough series: implementation with diabetes and heart failure teams. Ann Behav Med 2002; 24:80–87.
- Korsen N, Pietruszewski P. Translating evidence to practice: two stories from the field. J Clin Psychol Med Settings 2009; 16:47–57.
- Kilbourne AM, Rollman BL, Schulberg HC, Herbeck Belnap B, Pincus HA. A clinical framework for depression treatment in primary care. Psych Annals 2002; 32:545–553.
- Pincus HA, Pechura CM, Elinson L, Pettit AR. Depression in primary care: linking clinical and systems strategies. Gen Hosp Psychiatry 2001; 23:311–318.
- Pincus HA, Hough L, Houtsinger JK, Rollman BL, Frank RG. Emerging models of depression care: multi-level (‘6 P’) strategies. Int J Methods Psychiatr Res 2003; 12:54–63.
- Rollman BL, Weinreb L, Korsen N, Schulberg HC. Implementation of guideline-based care for depression in primary care. Adm Policy Ment Health 2006; 33:43–53.
- Belnap BH, Kuebler J, Upshur C, et al. Challenges of implementing depression care management in the primary care setting. Adm Policy Ment Health 2006; 33:67–75.
- Dietrich AJ, Oxman TE, Williams JW, et al. Going to scale: reengineering systems for primary care treatment of depression. Ann Fam Med 2004; 2:301–304.
- Unützer J, Katon W, Callahan CM, et al. Collaborative care management of late-life depression in the primary care setting: a randomized controlled trial. JAMA 2002; 288:2836–2845.
- Iglehart JK. No place like home—testing a new model of care delivery. N Engl J Med 2008; 359:1200–1202.
- Rollman BL, Belnap BH, LeMenager MS, et al. Telephone-delivered collaborative care for treating post-CABG depression: a randomized controlled trial. JAMA 2009; 302:2095–2103.
- Rollman BL, Belnap BH, LeMenager MS, Mazumdar S, Schulberg HC, Reynolds CF. The Bypassing the Blues treatment protocol: stepped collaborative care for treating post-CABG depression. Psychosom Med 2009; 71:217–230.
- Kroenke K, Spitzer RL, Williams JB. The Patient Health Questionnaire-2: validity of a two-item depression screener. Med Care 2003; 41:1284–1292.
- McManus D, Pipkin SS, Whooley MA. Screening for depression in patients with coronary heart disease (data from the Heart and Soul Study). Am J Cardio 2005; 96:1076–1081.
- Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 2001; 16:606–613.
- Ware JE, Kosinski M, Keller S. SF-36 Physical and Mental Health Summary Scales: A User’s Manual. 2nd ed. Boston: The Health Institute, New England Medical Center; 1994.
- Katon W, Ludman E, Simon G. The Depression Helpbook. Boulder, CO: Bull Publishing; 2002.
- Morone NE, Weiner DK, Belnap BH, et al. The impact of pain and depression on recovery after coronary artery bypass grafting. Psychosom Med 2010; 72:620–625.
- Mittag O, China C, Hoberg E, et al. Outcomes of cardiac rehabilitation with versus without a follow-up intervention rendered by telephone (Luebeck follow-up trial): overall and gender-specific effects. Int J Rehabil Res 2006; 29:295–302.
- Schneiderman N, Saab PG, Catellier DJ, et al. Psychosocial treatment within sex by ethnicity subgroups in the Enhancing Recovery in Coronary Heart Disease clinical trial. Psychosom Med 2004; 66:475–483.
- Frasure-Smith N, Lespérance F, Prince RH, et al. Randomised trial of home-based psychosocial nursing intervention for patients recovering from myocardial infarction. Lancet 1997; 350:473–479.
- Davidson KW, Rieckmann N, Clemow L, et al. Enhanced depression care for patients with acute coronary syndrome and persistent depressive symptoms: coronary psychosocial evaluation studies randomized controlled trial. Arch Intern Med 2010; 170:600–608.
- van Straten A, Geraedts A, Verdonck-de Leeuw I, Andersson G, Cuijpers P. Psychological treatment of depressive symptoms in patients with medical disorders: a meta-analysis. J Psychosom Res 2010; 69:23–32.
- Rubenstein LV, Mittman BS, Yano EM, Mulrow CD. From understanding health care provider behavior to improving health care: the QUERI framework for quality improvement: Quality Enhancement Research Initiative. Med Care 2000; 38( 6 suppl 1):I129–I141.
- Marks I, Cavanagh K. Computer-aided psychological treatments: evolving issues. Ann Rev Clin Psychol 2009; 5:121–141.
- Cartreine JA, Ahern DK, Locke SE. A roadmap to computer-based psychotherapy in the United States. Harv Rev Psychiatry 2010; 18:80–95.
- Andersson G, Cuijpers P. Internet-based and other computerized psychological treatments for adult depression: a meta-analysis. Cogn Behav Ther 2009; 38:196–205.
- National Institute for Health and Clinical Excellence (NICE). Computerized cognitive behavioral therapy for depression and anxiety. London, UK: National Institute for Health and Clinical Excellence (NICE); 2008 Feb38p (Technology appraisal; no. 97).
- McCrone P, Knapp M, Proudfoot J, et al. Cost-effectiveness of computerised cognitive-behavioural therapy for anxiety and depression in primary care: randomised controlled trial. Br J Psychiatry 2004; 185:55–62.
- Kaltenthaler E, Shackley P, Stevens K, Beverley C, Parry G, Chilcott J. A systematic review and economic evaluation of computerised cognitive behaviour therapy for depression and anxiety. Health Technol Assess 2002; 6:1–89.
- Cuijpers P, Smit F, Bohlmeijer E, Hollon SD, Andersson G. Efficacy of cognitive-behavioural therapy and other psychological treatments for adult depression: meta-analytic study of publication bias. Br J Psychiatry 2010; 196:173–178.
- Simon GE, Ludman EJ. It’s time for disruptive innovation in psychotherapy. Lancet 2009; 374:594–595.
Coronary artery bypass graft (CABG) surgery is one of the most common and costly medical procedures performed in the United States.1 However, up to one-half of post-CABG patients report significant increases in mood symptoms following surgery,2 and these individuals are more likely to report poorer health-related quality of life (HRQoL) and worse functional status,3 and to experience higher risk of rehospitalizations4 and death5 despite a satisfactory surgical result.
Strategies to detect and then manage depression in CABG patients and in cardiac populations are of great interest given the potential for depression treatment to reduce cardiovascular morbidity.
In recognition of the prevalence and excess burdens associated with this condition, a recent American Heart Association (AHA) Science Advisory has advocated regular screening and treatment of cardiac patients for depression.6 Yet, the Advisory has been controversial,7,8 as most depression treatment trials conducted in patients with cardiac disease have had less-than- anticipated impact on mood symptoms,7,9–14 cardiovascular morbidity,7,9,10,14 or mortality.7,9–11,13–15 Possible explanations include: (1) dependence solely on single antidepressant agents9,14 that, in general, are often ineffective,16 untolerated, or otherwise discontinued by patients17; (2) reliance on psychologic counseling in elderly, medically ill populations who may be either unwilling or unable to adhere to successive face-to-face encounters with a therapist10,13; (3) inadequate consideration of patients’ preferences for type and location of treatment18,19; (4) insufficient treatment adherence20,21; (5) perceived stigma of depression22; (6) brief duration of treatment and followup9,13,14; and (7) higher-than-expected spontaneous remission rates for depression.10,14
Over the past 15 years, numerous trials have supported use of the flexible real-world collaborative care approach to improve outcomes for depression27,28 as well as a variety of other chronic medical conditions29–32 and at a lower total cost of care.33,34 This strategy is supported even outside the framework of a trial.35,36 Moreover, collaborative care was the clinical framework37 for a Robert Wood Johnson Foundation program to realign clinical and financial incentives for providing sustainable high-quality depression treatment in primary care.38–41 It is also embraced by depression improvement initiatives supported by the MacArthur (http://www.depression-primarycare.org/)42 and Hartford (http://impact-uw.org/)43 Foundations. In recognition, a National Heart Lung and Blood Institute–sponsored working group on the assessment and treatment of depression in patients with cardiovascular disease endorsed testing of collaborative care strategies for treating depression in combination with “usual cardiologic care” as a method to improve clinical outcomes.23 Collaborative care has also emerged as an integral part of the “patient-centered medical home” model presently advocated by leading professional organizations to organize and reimburse PCPs for providing high-quality chronic illness care.44
Despite this interest in collaborative care, to date, only the “Bypassing the Blues” (BtB) trial has reported the impact of this depression treatment strategy on the clinical outcomes of a population with cardiac disease.45 In an effort to help disseminate collaborative care more broadly into routine practice as envisioned by the AHA Science Advisory, we pre sent the key design elements and main outcome findings from BtB, along with our efforts to improve upon and expand the model for testing in other cardiac conditions.
STUDY OVERVIEW
IDENTIFICATION OF DEPRESSION
Applying the two-step Patient Health Questionnaire (PHQ) depression screening strategy recently endorsed by the AHA Science Advisory,6 BtB recruited medically stable post-CABG patients prior to hospital discharge from seven Pittsburgh-area hospitals between 2004 and 2007. To support our recruitment efforts, we developed press releases, wall posters, newsletter articles, and brochures to inform physicians, hospital staff, patients and their families about the impact of depression on cardiovascular disease and our study (available for download at: www.bypassingtheblues.pitt.edu).
Study nurse-recruiters obtained patients’ signed informed consent to undergo screening with the two-item PHQ-222 (“Over the past 2 weeks have you had: little interest or pleasure in doing things or “felt down, depressed, or hopeless?”).47 We defined a positive PHQ-2 depression screen as patient endorsement of one or both of its items (90% sensitive and 69% specific for major depression among patients with cardiac disease when measured against the “goldstandard” Diagnostic Interview Schedule48).
The psychologic and physical symptoms of depression often overlap with the post-CABG state (eg, fatigue, sleeplessness) and these elevations in depressive symptoms frequently remit spontaneously. Therefore, we administered the nine-item PHQ-949 over the telephone 2 weeks following hospital discharge to confirm the PHQ-2 screen. We required that patients score at least 10 to remain protocol-eligible, a threshold that signified at least a moderate level of depressive symptoms49 and has been described as “virtually diagnostic” for depression among patients with cardiac disease (90% specific).48
ASSESSMENT AND OUTCOME MEASURES
Upon confirmation of all protocol-eligibility criteria prior to randomization, we conducted a detailed baseline telephone assessment that included the SF-3650 to determine mental (MCS) and physical (PCS) HRQoL, the 12-item Duke Activity Status Index (DASI)26 to determine disease-specific physical functioning, and the 17-item Hamilton Rating Scale for Depression (HRS-D)27 to track mood symptoms. Telephone assessors blinded as to randomization status readministered these measures at 2, 4, and 8 months’ followup and routinely inquired about any hospitalizations and mental health visits patients may have experienced since their last telephone assessment. Whenever they detected a potential “key event,” we requested a copy of relevant medical records from the hospital where the event occurred. These were then forwarded to a physician adjudication committee that was blinded as to the patient’s depression and intervention status to classify the nature of the event (cardiovascular, psychiatric, or “other”).
COLLABORATIVE CARE INTERVENTION
Following randomization, a nurse care manager telephoned each intervention patient to: (1) review his or her psychiatric history, including use of any prescription medications, herbal supplements, or alcohol to self-medicate depressive symptoms; and (2) provide education about depression, its impact on cardiac disease, and basic advice for managing the condition (eg, exercise, sleep, social contact, alcohol avoidance); and (3) assess the patient’s treatment preferences for depression.
Using a shared decision-making approach, patients then selected one or more of the following treatment options: (1) a workbook designed to impart self-management skills for managing depression51; (2) antidepressant pharmacotherapy, primarily a selective serotonin-reuptake inhibitor (SSRI) chosen according to patient preference, prior usage, and insurance coverage, but prescribed by the patient’s PCP46; (3) referral to a local mental health specialist in keeping with the patient’s insurance coverage; and (4) “watchful waiting” if the patient’s mood symptoms were only mildly elevated and he or she had no prior history of depression.
Afterward, the nurse care manager telephoned the patient approximately every other week during the acute phase of treatment to practice skills imparted through workbook assignments, monitor pharmacotherapy, promote adherence with recommended care, and suggest adjustments in treatment as applicable. Depending upon the patient’s motivation to complete workbook assignments and whether he or she accepted antidepressant pharmacotherapy, these followup contacts typically lasted 15 to 45 minutes and continued for 2 to 6 months. The patient subsequently transitioned to the “continuation phase” of treatment, during which the care manager contacted him or her less frequently until the end of our 8-month intervention.
WEEKLY CASE REVIEW
Following discussion, the clinical team typically formulated one to three treatment recommendations that the nurse conveyed to the patient via telephone. As PCPs were responsible for prescribing all medications and dosage adjustments, we conveyed pharmacologic recommendations to them via telephone or fax. PCPs could accept or reject these recommendations at their discretion. If the patient demonstrated little response, had complex psychosocial issues (eg, impending divorce), or had an uncertain diagnosis (eg, bipolar disorder), we typically recommended referral to a mental health specialist. At quarterly intervals and at the end of the 8-month intervention, we mailed the PCP a summary of the patient’s progress that included antidepressant dosages, PHQ-9 scores, and other pertinent information.46
PROMOTING MEDICATION ADHERENCE
To promote adherence with our treatment recommendations, our nurse care managers offered to call in antidepressant prescriptions to patients’ pharmacies under their PCP’s verbal orders, and then forwarded an order sheet for the PCP to sign and return to document it.
Some patients agreed to a trial of antidepressant pharmacotherapy but then declined or quickly discontinued it because of cost, side effects, or concerns about dependence, safety, or stigma. In these instances, particularly if the patient remained symptomatic, care managers attempted to overcome the patient’s reluctance using various motivational interviewing approaches. Care managers also provided educational materials, including the workbook,51 to mitigate any concerns, and emphasized they would monitor the patient’s clinical status closely and report back to the clinical team and the patient’s PCP for ongoing guidance. The care manager also informed the PCP of the patient’s reason(s) for nonadherence, raising the possibility that the clinician could help overcome the patient’s resistance.
OUTCOMES
Self-reported measures
PROCESSES OF CARE
Of the 150 patients randomized to our collaborative care intervention, 146 (97%) had one or more telephone care manager contacts and 83% had three or more contacts by the 4-month followup. At the 8-month conclusion of our intervention, the median number of care manager contacts per patient was 10 (range: 1–28). The proportion of intervention patients using antidepressants also increased from 15% at baseline to 44% by 8 months, and 4% reported a visit to a mental health specialist. In comparison, 31% (P = .05) and 6% (NS) of usual-care patients, respectively, were using an antidepressant or saw a mental health specialist during this period.45
HEALTH SERVICES UTILIZATION
Depressed patients reported a similar 8-month incidence of all-cause (33% intervention vs 32% usual care) and cardiovascular-cause (15% vs 18%) rehospitalizations by randomization status. However, male intervention subjects tended to have a lower incidence of cardiovascular-cause rehospitalizations than men randomized to usual care (13% vs 23%; P = .07) and one that was similar to that of nondepressed BtB male post-CABG patients (13%). Notably, we did not observe a similar pattern among female patients enrolled in BtB. To better examine the “business case” for treating post-CABG depression, we are presently analyzing claims data from Medicare and from two large western Pennsylvania insurance providers and hope to report these analyses shortly.
DISCUSSION
BtB was the first trial to examine the impact of a real-world collaborative care strategy for treating depression in post-CABG patients or in any other cardiac population. The generalizability of our treatment strategy is enhanced by multiple design features including: (1) use of a brief, validated, two-stage PHQ depression screening procedure that was endorsed by the AHA and can be routinely implemented by nonresearch clinical personnel; (2) a centralized telephone-delivered intervention; (3) reliance on a variety of safe, effective, simple-to-dose and increasingly generic pharmacotherapy options, a commercially available workbook, and community mental health specialists to deliver step-up care; (4) consideration of patients’ prior treatment experiences, current care preferences, and insurance coverage when recommending care; (5) use of trained nurses as care coordinators across treatment delivery settings and providers across state lines; and (6) an informatics infrastructure designed to document and promote delivery of evidence-based depression treatment, care coordination, and efficient internal operations.
The ES improvement in HRS-D we observed in the BtB trial was at the upper end of a meta-analysis of 37 collaborative care trials for depression involving 12,355 primary care patients (ES: 0.25; 0.18–0.32).27 It compared favorably with the improvements reported by the ENRICHD (Enhancing Recovery in Coronary Heart Disease Patients) randomized trial (ES: 0.22; 0.11–0.33),10 the SADHART (Sertraline Antidepressant Heart Attack Randomized Trial) (ES: 0.14; −0.06–0.35),9 and the citalopram arm of the CREATE (Canadian Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy) trial (ES: 0.29; 0.05–0.52).13 However, our ES improvement was smaller than those generated by the more laborintensive and face-to-face interventions provided by Freedland et al’s trial of cognitive behavioral therapy (CBT) for post-CABG depression (ES: 0.73; 0.29–1.20; N = 123),15 the COPES (Coronary Psychosocial Evaluation Studies) trial of problem-solving therapy (ES: 0.59; 0.18–1.00) that was the first to report a significant reduction in major adverse cardiac events from treating depression,15,56 or a recent meta-analysis of psychologic treatments in patients with medical disorders (ES: 1.00; 0.57–1.44).57
Although the BtB intervention focused on depressed post-CABG patients, it is also generalizable to patients with other cardiovascular conditions. Moreover, the model can be readily adapted into practices at a variety of integrated health care delivery systems.58 Therefore, we believe collaborative care interventions such as ours will become more widespread as elements of the 2010 Affordable Care Act are phased in.
FUTURE DIRECTIONS
Despite positive outcomes on HRQoL and mood symptoms generated by BtB and other recent trials,15,56 it remains unclear whether effective depression treatment can reduce cardiovascular morbidity and mortality. Given the trend toward a reduced incidence of rehospitalization for cardiovascular causes among depressed male patients in BtB and findings from COPES56 and other trials,7 we believe a comparative effectiveness trial of reasonable size (N < 2,000 study subjects) and cost will require an intervention capable of producing an ES reduction in mood symptoms of at least 0.50. Furthermore, because of declines in morbidity and mortality over the past decade following CABG surgery and myocardial infarction,1 we also believe heart failure remains the only prevalent cardiovascular disorder for which to conduct this future comparative effectiveness trial.
Because an improvement of at least 0.50 ES in mood symptoms is higher than the ES improvements presently generated by collaborative care treatment approaches, it is critical to develop new interventions that blend the scalability and patient acceptability of telephone-delivered collaborative care with the greater efficacy of more intensive face-to-face counseling strategies. To address this need, we are investigating how best to incorporate Internet-delivered computerized cognitive behavioral therapy (CCBT) and other online strategies for treating depression into the BtB model. CCBT is a new and evolving technology that can improve patients’ access to personalized, convenient, and effective treatment for depression.59 Used primarily in the United Kingdom, Australia, and the Netherlands, CCBT has attracted growing interest by US investigators.60 Importantly, some CCBT programs are able to produce the ES improvements in mood symptoms needed to potentially demonstrate a reduction of cardiovascular morbidity61 and do so reliably, at scale, and at low cost compared with more labor-intensive methods of care.62–64 Still, pilot testing of this innovative treatment approach is necessary to evaluate: (1) whether CCBT will be as effective among depressed patients with cardiovascular disease as among those recruited from primary care settings; (2) how best to integrate CCBT within a collaborative care program linked to cardiovascular patients’ usual sources of cardiac and primary care; and (3) whether incorporating Internet-delivered CCBT into a “traditional” collaborative care program that provides active follow-up, pharmacotherapy monitoring, and mental health specialty referral as options provides either no additional benefit (ES ∼0.30), benefit approaching that of CCBT alone (ES: ∼0.60),61 or an additive or synergistic benefit approaching face-to-face CBT (ES: ≥ 0.80).15,65 Findings from these studies could also have profound implications for changing the way both cardiovascular and mental health conditions are treated66 and direct further attention to the emerging field of e-mental health by other US investigators.60
Coronary artery bypass graft (CABG) surgery is one of the most common and costly medical procedures performed in the United States.1 However, up to one-half of post-CABG patients report significant increases in mood symptoms following surgery,2 and these individuals are more likely to report poorer health-related quality of life (HRQoL) and worse functional status,3 and to experience higher risk of rehospitalizations4 and death5 despite a satisfactory surgical result.
Strategies to detect and then manage depression in CABG patients and in cardiac populations are of great interest given the potential for depression treatment to reduce cardiovascular morbidity.
In recognition of the prevalence and excess burdens associated with this condition, a recent American Heart Association (AHA) Science Advisory has advocated regular screening and treatment of cardiac patients for depression.6 Yet, the Advisory has been controversial,7,8 as most depression treatment trials conducted in patients with cardiac disease have had less-than- anticipated impact on mood symptoms,7,9–14 cardiovascular morbidity,7,9,10,14 or mortality.7,9–11,13–15 Possible explanations include: (1) dependence solely on single antidepressant agents9,14 that, in general, are often ineffective,16 untolerated, or otherwise discontinued by patients17; (2) reliance on psychologic counseling in elderly, medically ill populations who may be either unwilling or unable to adhere to successive face-to-face encounters with a therapist10,13; (3) inadequate consideration of patients’ preferences for type and location of treatment18,19; (4) insufficient treatment adherence20,21; (5) perceived stigma of depression22; (6) brief duration of treatment and followup9,13,14; and (7) higher-than-expected spontaneous remission rates for depression.10,14
Over the past 15 years, numerous trials have supported use of the flexible real-world collaborative care approach to improve outcomes for depression27,28 as well as a variety of other chronic medical conditions29–32 and at a lower total cost of care.33,34 This strategy is supported even outside the framework of a trial.35,36 Moreover, collaborative care was the clinical framework37 for a Robert Wood Johnson Foundation program to realign clinical and financial incentives for providing sustainable high-quality depression treatment in primary care.38–41 It is also embraced by depression improvement initiatives supported by the MacArthur (http://www.depression-primarycare.org/)42 and Hartford (http://impact-uw.org/)43 Foundations. In recognition, a National Heart Lung and Blood Institute–sponsored working group on the assessment and treatment of depression in patients with cardiovascular disease endorsed testing of collaborative care strategies for treating depression in combination with “usual cardiologic care” as a method to improve clinical outcomes.23 Collaborative care has also emerged as an integral part of the “patient-centered medical home” model presently advocated by leading professional organizations to organize and reimburse PCPs for providing high-quality chronic illness care.44
Despite this interest in collaborative care, to date, only the “Bypassing the Blues” (BtB) trial has reported the impact of this depression treatment strategy on the clinical outcomes of a population with cardiac disease.45 In an effort to help disseminate collaborative care more broadly into routine practice as envisioned by the AHA Science Advisory, we pre sent the key design elements and main outcome findings from BtB, along with our efforts to improve upon and expand the model for testing in other cardiac conditions.
STUDY OVERVIEW
IDENTIFICATION OF DEPRESSION
Applying the two-step Patient Health Questionnaire (PHQ) depression screening strategy recently endorsed by the AHA Science Advisory,6 BtB recruited medically stable post-CABG patients prior to hospital discharge from seven Pittsburgh-area hospitals between 2004 and 2007. To support our recruitment efforts, we developed press releases, wall posters, newsletter articles, and brochures to inform physicians, hospital staff, patients and their families about the impact of depression on cardiovascular disease and our study (available for download at: www.bypassingtheblues.pitt.edu).
Study nurse-recruiters obtained patients’ signed informed consent to undergo screening with the two-item PHQ-222 (“Over the past 2 weeks have you had: little interest or pleasure in doing things or “felt down, depressed, or hopeless?”).47 We defined a positive PHQ-2 depression screen as patient endorsement of one or both of its items (90% sensitive and 69% specific for major depression among patients with cardiac disease when measured against the “goldstandard” Diagnostic Interview Schedule48).
The psychologic and physical symptoms of depression often overlap with the post-CABG state (eg, fatigue, sleeplessness) and these elevations in depressive symptoms frequently remit spontaneously. Therefore, we administered the nine-item PHQ-949 over the telephone 2 weeks following hospital discharge to confirm the PHQ-2 screen. We required that patients score at least 10 to remain protocol-eligible, a threshold that signified at least a moderate level of depressive symptoms49 and has been described as “virtually diagnostic” for depression among patients with cardiac disease (90% specific).48
ASSESSMENT AND OUTCOME MEASURES
Upon confirmation of all protocol-eligibility criteria prior to randomization, we conducted a detailed baseline telephone assessment that included the SF-3650 to determine mental (MCS) and physical (PCS) HRQoL, the 12-item Duke Activity Status Index (DASI)26 to determine disease-specific physical functioning, and the 17-item Hamilton Rating Scale for Depression (HRS-D)27 to track mood symptoms. Telephone assessors blinded as to randomization status readministered these measures at 2, 4, and 8 months’ followup and routinely inquired about any hospitalizations and mental health visits patients may have experienced since their last telephone assessment. Whenever they detected a potential “key event,” we requested a copy of relevant medical records from the hospital where the event occurred. These were then forwarded to a physician adjudication committee that was blinded as to the patient’s depression and intervention status to classify the nature of the event (cardiovascular, psychiatric, or “other”).
COLLABORATIVE CARE INTERVENTION
Following randomization, a nurse care manager telephoned each intervention patient to: (1) review his or her psychiatric history, including use of any prescription medications, herbal supplements, or alcohol to self-medicate depressive symptoms; and (2) provide education about depression, its impact on cardiac disease, and basic advice for managing the condition (eg, exercise, sleep, social contact, alcohol avoidance); and (3) assess the patient’s treatment preferences for depression.
Using a shared decision-making approach, patients then selected one or more of the following treatment options: (1) a workbook designed to impart self-management skills for managing depression51; (2) antidepressant pharmacotherapy, primarily a selective serotonin-reuptake inhibitor (SSRI) chosen according to patient preference, prior usage, and insurance coverage, but prescribed by the patient’s PCP46; (3) referral to a local mental health specialist in keeping with the patient’s insurance coverage; and (4) “watchful waiting” if the patient’s mood symptoms were only mildly elevated and he or she had no prior history of depression.
Afterward, the nurse care manager telephoned the patient approximately every other week during the acute phase of treatment to practice skills imparted through workbook assignments, monitor pharmacotherapy, promote adherence with recommended care, and suggest adjustments in treatment as applicable. Depending upon the patient’s motivation to complete workbook assignments and whether he or she accepted antidepressant pharmacotherapy, these followup contacts typically lasted 15 to 45 minutes and continued for 2 to 6 months. The patient subsequently transitioned to the “continuation phase” of treatment, during which the care manager contacted him or her less frequently until the end of our 8-month intervention.
WEEKLY CASE REVIEW
Following discussion, the clinical team typically formulated one to three treatment recommendations that the nurse conveyed to the patient via telephone. As PCPs were responsible for prescribing all medications and dosage adjustments, we conveyed pharmacologic recommendations to them via telephone or fax. PCPs could accept or reject these recommendations at their discretion. If the patient demonstrated little response, had complex psychosocial issues (eg, impending divorce), or had an uncertain diagnosis (eg, bipolar disorder), we typically recommended referral to a mental health specialist. At quarterly intervals and at the end of the 8-month intervention, we mailed the PCP a summary of the patient’s progress that included antidepressant dosages, PHQ-9 scores, and other pertinent information.46
PROMOTING MEDICATION ADHERENCE
To promote adherence with our treatment recommendations, our nurse care managers offered to call in antidepressant prescriptions to patients’ pharmacies under their PCP’s verbal orders, and then forwarded an order sheet for the PCP to sign and return to document it.
Some patients agreed to a trial of antidepressant pharmacotherapy but then declined or quickly discontinued it because of cost, side effects, or concerns about dependence, safety, or stigma. In these instances, particularly if the patient remained symptomatic, care managers attempted to overcome the patient’s reluctance using various motivational interviewing approaches. Care managers also provided educational materials, including the workbook,51 to mitigate any concerns, and emphasized they would monitor the patient’s clinical status closely and report back to the clinical team and the patient’s PCP for ongoing guidance. The care manager also informed the PCP of the patient’s reason(s) for nonadherence, raising the possibility that the clinician could help overcome the patient’s resistance.
OUTCOMES
Self-reported measures
PROCESSES OF CARE
Of the 150 patients randomized to our collaborative care intervention, 146 (97%) had one or more telephone care manager contacts and 83% had three or more contacts by the 4-month followup. At the 8-month conclusion of our intervention, the median number of care manager contacts per patient was 10 (range: 1–28). The proportion of intervention patients using antidepressants also increased from 15% at baseline to 44% by 8 months, and 4% reported a visit to a mental health specialist. In comparison, 31% (P = .05) and 6% (NS) of usual-care patients, respectively, were using an antidepressant or saw a mental health specialist during this period.45
HEALTH SERVICES UTILIZATION
Depressed patients reported a similar 8-month incidence of all-cause (33% intervention vs 32% usual care) and cardiovascular-cause (15% vs 18%) rehospitalizations by randomization status. However, male intervention subjects tended to have a lower incidence of cardiovascular-cause rehospitalizations than men randomized to usual care (13% vs 23%; P = .07) and one that was similar to that of nondepressed BtB male post-CABG patients (13%). Notably, we did not observe a similar pattern among female patients enrolled in BtB. To better examine the “business case” for treating post-CABG depression, we are presently analyzing claims data from Medicare and from two large western Pennsylvania insurance providers and hope to report these analyses shortly.
DISCUSSION
BtB was the first trial to examine the impact of a real-world collaborative care strategy for treating depression in post-CABG patients or in any other cardiac population. The generalizability of our treatment strategy is enhanced by multiple design features including: (1) use of a brief, validated, two-stage PHQ depression screening procedure that was endorsed by the AHA and can be routinely implemented by nonresearch clinical personnel; (2) a centralized telephone-delivered intervention; (3) reliance on a variety of safe, effective, simple-to-dose and increasingly generic pharmacotherapy options, a commercially available workbook, and community mental health specialists to deliver step-up care; (4) consideration of patients’ prior treatment experiences, current care preferences, and insurance coverage when recommending care; (5) use of trained nurses as care coordinators across treatment delivery settings and providers across state lines; and (6) an informatics infrastructure designed to document and promote delivery of evidence-based depression treatment, care coordination, and efficient internal operations.
The ES improvement in HRS-D we observed in the BtB trial was at the upper end of a meta-analysis of 37 collaborative care trials for depression involving 12,355 primary care patients (ES: 0.25; 0.18–0.32).27 It compared favorably with the improvements reported by the ENRICHD (Enhancing Recovery in Coronary Heart Disease Patients) randomized trial (ES: 0.22; 0.11–0.33),10 the SADHART (Sertraline Antidepressant Heart Attack Randomized Trial) (ES: 0.14; −0.06–0.35),9 and the citalopram arm of the CREATE (Canadian Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy) trial (ES: 0.29; 0.05–0.52).13 However, our ES improvement was smaller than those generated by the more laborintensive and face-to-face interventions provided by Freedland et al’s trial of cognitive behavioral therapy (CBT) for post-CABG depression (ES: 0.73; 0.29–1.20; N = 123),15 the COPES (Coronary Psychosocial Evaluation Studies) trial of problem-solving therapy (ES: 0.59; 0.18–1.00) that was the first to report a significant reduction in major adverse cardiac events from treating depression,15,56 or a recent meta-analysis of psychologic treatments in patients with medical disorders (ES: 1.00; 0.57–1.44).57
Although the BtB intervention focused on depressed post-CABG patients, it is also generalizable to patients with other cardiovascular conditions. Moreover, the model can be readily adapted into practices at a variety of integrated health care delivery systems.58 Therefore, we believe collaborative care interventions such as ours will become more widespread as elements of the 2010 Affordable Care Act are phased in.
FUTURE DIRECTIONS
Despite positive outcomes on HRQoL and mood symptoms generated by BtB and other recent trials,15,56 it remains unclear whether effective depression treatment can reduce cardiovascular morbidity and mortality. Given the trend toward a reduced incidence of rehospitalization for cardiovascular causes among depressed male patients in BtB and findings from COPES56 and other trials,7 we believe a comparative effectiveness trial of reasonable size (N < 2,000 study subjects) and cost will require an intervention capable of producing an ES reduction in mood symptoms of at least 0.50. Furthermore, because of declines in morbidity and mortality over the past decade following CABG surgery and myocardial infarction,1 we also believe heart failure remains the only prevalent cardiovascular disorder for which to conduct this future comparative effectiveness trial.
Because an improvement of at least 0.50 ES in mood symptoms is higher than the ES improvements presently generated by collaborative care treatment approaches, it is critical to develop new interventions that blend the scalability and patient acceptability of telephone-delivered collaborative care with the greater efficacy of more intensive face-to-face counseling strategies. To address this need, we are investigating how best to incorporate Internet-delivered computerized cognitive behavioral therapy (CCBT) and other online strategies for treating depression into the BtB model. CCBT is a new and evolving technology that can improve patients’ access to personalized, convenient, and effective treatment for depression.59 Used primarily in the United Kingdom, Australia, and the Netherlands, CCBT has attracted growing interest by US investigators.60 Importantly, some CCBT programs are able to produce the ES improvements in mood symptoms needed to potentially demonstrate a reduction of cardiovascular morbidity61 and do so reliably, at scale, and at low cost compared with more labor-intensive methods of care.62–64 Still, pilot testing of this innovative treatment approach is necessary to evaluate: (1) whether CCBT will be as effective among depressed patients with cardiovascular disease as among those recruited from primary care settings; (2) how best to integrate CCBT within a collaborative care program linked to cardiovascular patients’ usual sources of cardiac and primary care; and (3) whether incorporating Internet-delivered CCBT into a “traditional” collaborative care program that provides active follow-up, pharmacotherapy monitoring, and mental health specialty referral as options provides either no additional benefit (ES ∼0.30), benefit approaching that of CCBT alone (ES: ∼0.60),61 or an additive or synergistic benefit approaching face-to-face CBT (ES: ≥ 0.80).15,65 Findings from these studies could also have profound implications for changing the way both cardiovascular and mental health conditions are treated66 and direct further attention to the emerging field of e-mental health by other US investigators.60
- Lloyd-Jones D, Adams RJ, Brown TM, et al. Heart disease and stroke statistics—2010 update: a report from the American Heart Association. Circulation 2010; 121:e46–e215.
- Pignay-Demaria V, Lespérance F, Demaria R, Frasure-Smith N, Perrault LP. Depression and anxiety and outcomes of coronary artery bypass surgery. Ann Thorac Surg 2003; 75:314–321.
- Goyal TM, Idler EL, Krause TJ, Contrada RJ. Quality of life following cardiac surgery: impact of the severity and course of depressive symptoms. Psychosom Med 2005; 67:759–765.
- Oxlad M, Stubberfield J, Stuklis R, Edwards J, Wade TD. Psychological risk factors for cardiac-related hospital readmission within 6 months of coronary artery bypass graft surgery. J Psychosom Res 2006; 61:775–781.
- Blumenthal JA, Lett HS, Babyak MA, et al. Depression as a risk factor for mortality after coronary artery bypass surgery. Lancet 2003; 362:604–609.
- Lichtman JH, Bigger JT, Blumenthal JA, et al. Depression and coronary heart disease: recommendations for screening, referral, and treatment: a science advisory from the American Heart Association Prevention Committee of the Council on Cardiovascular Nursing, Council on Clinical Cardiology, Council on Epidemiology and Prevention, and Interdisciplinary Council on Quality of Care and Outcomes Research: endorsed by the American Psychiatric Association. Circulation 2008; 118:1768–1775.
- Thombs BD, de Jonge P, Coyne JC, et al. Depression screening and patient outcomes in cardiovascular care: a systematic review. JAMA 2008; 300:2161–2171.
- Davidson KW, Korin MR. Depression and cardiovascular disease: selected findings, controversies, and clinical implications from 2009. Cleve Clin J Med 2010; 77( suppl 3):S20–S26.
- Glassman AH, O’Connor CM, Califf RM, et al; for the Sertraline Antidepressant Heart Attack Randomized Trial (SADHART) group. Sertraline treatment of major depression in patients with acute MI or unstable angina. JAMA 2002; 288:701–709.
- Berkman LF, Blumenthal J, Burg M, et al. Effects of treating depression and low perceived social support on clinical events after myocardial infarction: the Enhancing Recovery in Coronary Heart Disease Patients (ENRICHD) Randomized Trial. JAMA 2003; 289:3106–3116.
- van Melle JP, de Jonge P, Honig A, et al. Effects of antidepressant treatment following myocardial infarction. Br J Psychiatry 2007; 190:460–466.
- Strik JJ, Honig A, Lousberg R, et al. Efficacy and safety of fluoxetine in the treatment of patients with major depression after first myocardial infarction: findings from a double-blind, placebo-controlled trial. Psychosom Med 2000; 62:783–789.
- Lespérance F, Frasure-Smith N, Koszycki D, et al. Effects of citalopram and interpersonal psychotherapy on depression in patients with coronary artery disease: the Canadian Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy (CREATE) trial. JAMA 2007; 297:367–379.
- O’Connor CM, Jiang W, Kuchibhatla M, et al. Safety and efficacy of sertraline for depression in patients with heart failure: results of the SADHART-CHF (Sertraline Against Depression and Heart Disease in Chronic Heart Failure) trial. J Am Coll Cardiol 2010; 56:692–699.
- Freedland KE, Skala JA, Carney RM, et al. Treatment of depression after coronary artery bypass surgery: a randomized controlled trial. Arch Gen Psychiatry 2009; 66:387–396.
- Qaseem A, Snow V, Denberg TD, Forciea MA, Owens DK; Clinical Efficacy Assessment Subcommittee of American College of Physicians. Using second-generation antidepressants to treat depressive disorders: a clinical practice guideline from the American College of Physicians. Ann Intern Med 2008; 149:725–733.
- Kroenke K, West SL, Swindle R, et al. Similar effectiveness of paroxetine, fluoxetine, and sertraline in primary care: a randomized trial. JAMA 2001; 286:2947–2955.
- Cooper-Patrick L, Powe NR, Jenckes MW, Gonzales JJ, Levine DM, Ford DE. Identification of patient attitudes and p regarding treatment of depression. J Gen Intern Med 1997; 12:431–438.
- Dwight-Johnson M, Sherbourne CD, Liao D, Wells KB. Treatment p among depressed primary care patients. J Gen Intern Med 2000; 15:527–534.
- Carney RM, Freedland KE, Eisen SA, Rich MW, Jaffe AS. Major depression and medication adherence in elderly patients with coronary artery disease. Health Psychol 1995; 14:88–90.
- Ziegelstein RC, Fauerbach JA, Stevens SS, Romanelli J, Richter DP, Bush DE. Patients with depression are less likely to follow recommendations to reduce cardiac risk during recovery from a myocardial infarction. Arch Intern Med 2000; 160:1818–1823.
- Sirey JA, Bruce ML, Alexopoulos GS, et al. Perceived stigma as a predictor of treatment discontinuation in young and older outpatients with depression. Am J Psychiatry 2001; 158:479–481.
- Davidson KW, Kupfer DJ, Bigger JT, et al. Assessment and treatment of depression in patients with cardiovascular disease: National Heart, Lung, and Blood Institute Working Group Report. Psychosom Med 2006; 68:645–650.
- Asch SM, Baker DW, Keesey JW, et al. Does the collaborative model improve care for chronic heart failure? Med Care 2005; 43:667–675.
- Whooley MA. To screen or not to screen? Depression in patients with cardiovascular disease. J Am Coll Cardiol 2009; 54:891–893.
- Wagner EH, Austin BT, Von Korff M. Organizing care for patients with chronic illness. Milbank Q 1996; 74:511–544.
- Gilbody S, Bower P, Fletcher J, Richards D, Sutton AJ. Collaborative care for depression: a cumulative meta-analysis and review of longer-term outcomes. Arch Intern Med 2006; 166:2314–2321.
- Katon W, Unützer J, Wells K, Jones L. Collaborative depression care: history, evolution and ways to enhance dissemination and sustainability. Gen Hosp Psychiatry 2010; 32:456–464.
- DeBusk RF, Miller NH, Superko HR, et al. A case-management system for coronary risk factor modification after acute myocardial infarction. Ann Intern Med 1994; 120:721–729.
- Rich MW, Beckham V, Wittenberg C, Leven CL, Freedland KE, Carney RM. A multidisciplinary intervention to prevent the readmission of elderly patients with congestive heart failure. N Engl J Med 1995; 333:1190–1195.
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- Lloyd-Jones D, Adams RJ, Brown TM, et al. Heart disease and stroke statistics—2010 update: a report from the American Heart Association. Circulation 2010; 121:e46–e215.
- Pignay-Demaria V, Lespérance F, Demaria R, Frasure-Smith N, Perrault LP. Depression and anxiety and outcomes of coronary artery bypass surgery. Ann Thorac Surg 2003; 75:314–321.
- Goyal TM, Idler EL, Krause TJ, Contrada RJ. Quality of life following cardiac surgery: impact of the severity and course of depressive symptoms. Psychosom Med 2005; 67:759–765.
- Oxlad M, Stubberfield J, Stuklis R, Edwards J, Wade TD. Psychological risk factors for cardiac-related hospital readmission within 6 months of coronary artery bypass graft surgery. J Psychosom Res 2006; 61:775–781.
- Blumenthal JA, Lett HS, Babyak MA, et al. Depression as a risk factor for mortality after coronary artery bypass surgery. Lancet 2003; 362:604–609.
- Lichtman JH, Bigger JT, Blumenthal JA, et al. Depression and coronary heart disease: recommendations for screening, referral, and treatment: a science advisory from the American Heart Association Prevention Committee of the Council on Cardiovascular Nursing, Council on Clinical Cardiology, Council on Epidemiology and Prevention, and Interdisciplinary Council on Quality of Care and Outcomes Research: endorsed by the American Psychiatric Association. Circulation 2008; 118:1768–1775.
- Thombs BD, de Jonge P, Coyne JC, et al. Depression screening and patient outcomes in cardiovascular care: a systematic review. JAMA 2008; 300:2161–2171.
- Davidson KW, Korin MR. Depression and cardiovascular disease: selected findings, controversies, and clinical implications from 2009. Cleve Clin J Med 2010; 77( suppl 3):S20–S26.
- Glassman AH, O’Connor CM, Califf RM, et al; for the Sertraline Antidepressant Heart Attack Randomized Trial (SADHART) group. Sertraline treatment of major depression in patients with acute MI or unstable angina. JAMA 2002; 288:701–709.
- Berkman LF, Blumenthal J, Burg M, et al. Effects of treating depression and low perceived social support on clinical events after myocardial infarction: the Enhancing Recovery in Coronary Heart Disease Patients (ENRICHD) Randomized Trial. JAMA 2003; 289:3106–3116.
- van Melle JP, de Jonge P, Honig A, et al. Effects of antidepressant treatment following myocardial infarction. Br J Psychiatry 2007; 190:460–466.
- Strik JJ, Honig A, Lousberg R, et al. Efficacy and safety of fluoxetine in the treatment of patients with major depression after first myocardial infarction: findings from a double-blind, placebo-controlled trial. Psychosom Med 2000; 62:783–789.
- Lespérance F, Frasure-Smith N, Koszycki D, et al. Effects of citalopram and interpersonal psychotherapy on depression in patients with coronary artery disease: the Canadian Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy (CREATE) trial. JAMA 2007; 297:367–379.
- O’Connor CM, Jiang W, Kuchibhatla M, et al. Safety and efficacy of sertraline for depression in patients with heart failure: results of the SADHART-CHF (Sertraline Against Depression and Heart Disease in Chronic Heart Failure) trial. J Am Coll Cardiol 2010; 56:692–699.
- Freedland KE, Skala JA, Carney RM, et al. Treatment of depression after coronary artery bypass surgery: a randomized controlled trial. Arch Gen Psychiatry 2009; 66:387–396.
- Qaseem A, Snow V, Denberg TD, Forciea MA, Owens DK; Clinical Efficacy Assessment Subcommittee of American College of Physicians. Using second-generation antidepressants to treat depressive disorders: a clinical practice guideline from the American College of Physicians. Ann Intern Med 2008; 149:725–733.
- Kroenke K, West SL, Swindle R, et al. Similar effectiveness of paroxetine, fluoxetine, and sertraline in primary care: a randomized trial. JAMA 2001; 286:2947–2955.
- Cooper-Patrick L, Powe NR, Jenckes MW, Gonzales JJ, Levine DM, Ford DE. Identification of patient attitudes and p regarding treatment of depression. J Gen Intern Med 1997; 12:431–438.
- Dwight-Johnson M, Sherbourne CD, Liao D, Wells KB. Treatment p among depressed primary care patients. J Gen Intern Med 2000; 15:527–534.
- Carney RM, Freedland KE, Eisen SA, Rich MW, Jaffe AS. Major depression and medication adherence in elderly patients with coronary artery disease. Health Psychol 1995; 14:88–90.
- Ziegelstein RC, Fauerbach JA, Stevens SS, Romanelli J, Richter DP, Bush DE. Patients with depression are less likely to follow recommendations to reduce cardiac risk during recovery from a myocardial infarction. Arch Intern Med 2000; 160:1818–1823.
- Sirey JA, Bruce ML, Alexopoulos GS, et al. Perceived stigma as a predictor of treatment discontinuation in young and older outpatients with depression. Am J Psychiatry 2001; 158:479–481.
- Davidson KW, Kupfer DJ, Bigger JT, et al. Assessment and treatment of depression in patients with cardiovascular disease: National Heart, Lung, and Blood Institute Working Group Report. Psychosom Med 2006; 68:645–650.
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Type D personality and vulnerability to adverse outcomes in heart disease
Depression has been studied extensively in relation to cardiovascular disease.1–3 In addition to depression, anger4 and anxiety5 also may promote coronary artery disease (CAD), suggesting that emotional distress in general may be related to increased cardiovascular risk. Evidence indicates that the general distress shared across depression, anger, and anxiety predicts CAD, even after controlling for each of these specific negative emotions.6
THE CONCEPT OF TYPE D PERSONALITY
Lately, there is a renewed interest in broad individual differences in general distress and heart disease.7 Since psychologic factors often cluster together in individual patients, biobehavioral research may benefit from the identification of discrete personality subtypes.8 This focus on the identification of psychologically vulnerable patients who are at increased risk for adverse outcomes has led to the introduction of the distressed9 or type D10 personality profile in cardiovascular research. This personality construct is defined as follows:
“The type D (distressed) personality profile refers to a general propensity to psychological distress that is characterized by the combination of negative affectivity and social inhibition.”10
Negative affectivity, or the tendency to experience negative emotions across time and situations, is a major determinant of emotional distress in cardiac patients.9,10 Patients who score high on this trait frequently report feelings of dysphoria, worry, and tension. Social inhibition, or the tendency to inhibit the expression of emotions or behavior, is a major determinant of social distress.9,10 Patients who score high on this trait tend to avoid negative reactions from others.
Both traits define psychologically vulnerable patients and can be assessed with the type D scale (DS14).10 This brief measure consists of a seven-item negative affectivity subscale (eg, I often feel unhappy) and a seven-item inhibition subscale (eg, I am inhibited in social interactions), and has a clear two-factor structure and good reliability (Cronbach’s α = .88 and .86). Patients are classified as type D if they score 10 or higher on both DS14 subscales.10 The prevalence of type D personality ranges between 20% and 40% across different types of cardiovascular conditions.
The type D construct was designed for the early identification of chronically distressed patients. This article reviews (1) the risk of adverse events associated with type D, (2) the extent to which type D is distinct from depression, (3) the biologic pathways of type D, and (4) the implications of the type D personality profile.
RISK ASSOCIATED WITH TYPE D
The relationship between type D personality and adverse events has also been investigated in other cardiovascular conditions. Type D has been associated with poor prognosis in patients with peripheral arterial disease,17 but evidence for the prognostic role of type D in patients with chronic heart failure is mixed. In a study of patients with heart failure following myocardial infarction, type D predicted cardiac death independent of disease severity18; in a study of heart failure patients who underwent cardiac transplantation, type D was associated with early allograft rejection and increased mortality.19 However, type D was not associated with cardiac death in a recent, larger heart failure study.20 The link between psychologic factors and heart failure is complex3 and may be less obvious than the type D-CAD link.20 Type D has also been associated with the occurrence of life-threatening arrhythmias following implantable cardioverter defibrillator (ICD) treatment,21 and it has been shown to predict an increased risk for mortality in ICD patients, independent from shocks and disease severity.22
The wide range in odds ratios and confidence intervals indicates disparity in data across these type D studies (Table 1). We recently performed a metaanalysis of prospective studies between 1996 and 2009 to provide a more reliable estimate of the risk associated with type D. In this analysis, type D was associated with a threefold increased risk of adverse events23; the confidence interval of this pooled odds ratio ranged from 2.7 to 5.1. In addition, type D personality was associated with a threefold increased risk (range, 2.6 to 4.3) of emotional distress over time.23 From the recent studies that were not included in this meta-analysis, one reported negative findings20 and three others positive findings16,21,22 on the risk associated with type D.
COMPARING DEPRESSION AND TYPE D
Clinical evidence shows that, after adjustment for depression, type D remained a predictor of adverse cardiac events in CAD.16,24,25 Following ICD implantation, anxious type D patients were at risk of ventricular arrhythmias, whereas depression did not predict arrhythmias.21 Type D also exerts an adverse effect on patients’ health status following coronary bypass surgery,26 heart failure,27 or myocardial infarction,28 adjusting for depressive symptoms. Type D is related to biomarkers of increased stress levels independent of depression29–31 and, unlike depression, type D is not confounded by the severity of cardiac disorder.32
Following myocardial infarction, only one of four distressed patients met criteria for both type D and depression; most had one form of distress but not the other.32 Research in healthy33 and in cardiac34 populations confirmed that items from depression and type D scales reflect different distress factors. After adjustment for depression at baseline, type D also predicted the incidence,35 persistence,36 and severity37,38 of depression and anxiety. However, these findings do not imply that depression and type D are antonymous perspectives or that one perspective is better than the other in predicting outcomes; rather, we would like to argue that both constructs represent complementary perspectives that have added value.23
BIOLOGIC PATHWAYS OF TYPE D
Other studies found that type D was associated with inflammatory dysregulation. In healthy adults, type D has been related to higher concentrations of C-reactive protein.41 In heart failure patients, type D is associated with increased plasma levels of the proinflammatory cytokine tumor necrosis factor (TNF)-α and its soluble receptors 1 and 2.46,47 Increased TNF-α levels may cause suppression of bone-marrow–derived endothelial progenitor cells (EPCs) that play an important role in maintaining vascular integrity. The negative affectivity component of type D has been shown to predict decreased circulating EPC counts in healthy individuals48; another study found that these EPC numbers were reduced by more than 50% in heart failure patients with a type D personality.49 Type D personality is also associated with an increased oxidative stress burden in patients with chronic heart failure.29 Studies on genetic linkage50 and heritability51 further support biologic underpinnings of the type D construct.
Regarding pathways that may explain the effect of type D, some issues are of special interest. First, genetic factors contribute to stability in type D personality, but environmental factors may induce changes in type D characteristics over time.51 Hence, given this role of environmental influences over time, behavioral intervention would be feasible and useful in type D patients. Second, type D can promote heart disease indirectly through behavioral pathways. Type D has been associated with a sedentary lifestyle,41,52 an unhealthy diet,53 and a passive coping style.54,55 Poor adherence to medical treatment56,57 and reluctance to consult clinical staff58 may jeopardize the working relationship with type D patients in clinical care. Intervention may focus on the management of these behavioral risk factors in type D patients. Third, many of these biologic40–43,48,50,51 and behavioral41,52–54 pathways have also been documented in healthy type D individuals, which suggests that these associations cannot be explained away by the confounding effect of underlying cardiovascular disease.
CLINICAL IMPLICATIONS OF TYPE D
The findings from type D research have a number of clinical implications. Type D is associated with an increased risk of adverse events,23 chronic distress,35–38 and suicidal ideation.59 Type D may also have an adverse effect on the outcome of invasive treatment.14,19,21,22,24,26,60
Type D was associated with mortality and morbidity at 9 months14 and 2 years24 following coronary artery stenting, and with impaired health status 1 year following bypass surgery.26 Type D also predicted mortality and allograft rejection following heart transplantation,19 and an increased risk of ventricular arrhythmia21 and mortality22 in ICD patients. Researchers from the Cleveland Clinic have shown that type D is a risk factor for anxiety in ICD patients.60
Regarding the DSM-IV classification by the American Psychiatric Association,61 type D qualifies for the diagnosis “psychological factors affecting medical condition” (Section 316). In keeping with this classification, the diagnostic category type D affects (1) the course of cardiovascular conditions,23 (2) the treatment of these conditions,56,57 and (3) the working relationship with medical staff.58 At present, no clinical trial has examined whether intervention for distress among type D patients alters their risk for adverse events. Nevertheless, some have argued that it is plausible for type D patients to learn new strategies to reduce their level of general distress.62 Previous research with patients experiencing symptoms like those of type D patients suggests that psychotherapy, social skills training, stress management, and relaxation training may reduce stress in these patients and improve their ability to express their emotions to others.62 Others have suggested that stress management training, including communication skills and problem-solving, may further improve the risk profile and health in cardiac patients.63
It is possible that type D patients may benefit from close monitoring of their clinical condition and from aggressive management of their risk factor profile to prevent adverse clinical events. Cardiac rehabilitation is an effective approach to treating risk factors and enhancing well-being in CAD.63,64 A few studies have examined the effect of cardiac rehabilitation in type D patients. One study found a significant decrease in the social inhibition component of type D following cardiac rehabilitation, but there was no change in the prevalence of type D at 1-year follow-up.65 Although the type D profile tends to remain stable during rehabilitation,65,66 evidence shows that type D patients who participate in cardiac rehabilitation improve in physical and mental health status.66 Cardiac rehabilitation may also ward off further deterioration in negative affect,67 which, in turn, has been associated with better survival in patients who participated in rehabilitation.68 Future studies need to examine the effect of cardiac rehabilitation and other personalized approaches to treatment in type D patients.
CONCLUSIONS
General distress shared across negative emotions6,23 may partly account for the role of depression, anxiety, and anger in cardiovascular disorders.1–5 Some cardiac patients are more likely to experience distress than others. Type D may identify these psychologically vulnerable patients who tend to experience general distress.23 This propensity to general distress differs from depression, predicts adverse outcomes, is linked to plausible biologic pathways, and highlights the chronic nature of psychologic distress in some cardiac patients.
After adjustment for depression, type D remains significantly associated with an increased risk of adverse events in patients with CAD.16,24,25 However, this association is less obvious in patients with heart failure, and type D did not predict survival in one heart failure study.20 Although initial findings suggest a number of plausible biologic and behavioral pathways, more research is needed to explain the adverse effect of type D on cardiovascular outcomes. Future research also needs to investigate whether type D patients may benefit from close monitoring of their risk factors and a more personalized approach to behavioral and cardiac treatment.
Overall, the current understanding of type D indicates that general distress should not be ignored in the link between mind and heart, and that cardiovascular patients who have a type D personality profile are particularly vulnerable to the adverse clinical effects of general distress. The DS1410 is a brief, well-validated measure of type D that could be incorporated into clinical research and practice to identify patients who are at risk of chronic distress and poor prognosis.
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- Denollet J, Brutsaert DL. Enhancing emotional well-being by comprehensive rehabilitation in patients with coronary heart disease. Eur Heart J 1995; 16:1070–1078.
- Denollet J, Brutsaert DL. Reducing emotional distress improves prognosis in coronary heart disease: 9-year mortality in a clinical trial of rehabilitation. Circulation 2001; 104:2018–2023.
Depression has been studied extensively in relation to cardiovascular disease.1–3 In addition to depression, anger4 and anxiety5 also may promote coronary artery disease (CAD), suggesting that emotional distress in general may be related to increased cardiovascular risk. Evidence indicates that the general distress shared across depression, anger, and anxiety predicts CAD, even after controlling for each of these specific negative emotions.6
THE CONCEPT OF TYPE D PERSONALITY
Lately, there is a renewed interest in broad individual differences in general distress and heart disease.7 Since psychologic factors often cluster together in individual patients, biobehavioral research may benefit from the identification of discrete personality subtypes.8 This focus on the identification of psychologically vulnerable patients who are at increased risk for adverse outcomes has led to the introduction of the distressed9 or type D10 personality profile in cardiovascular research. This personality construct is defined as follows:
“The type D (distressed) personality profile refers to a general propensity to psychological distress that is characterized by the combination of negative affectivity and social inhibition.”10
Negative affectivity, or the tendency to experience negative emotions across time and situations, is a major determinant of emotional distress in cardiac patients.9,10 Patients who score high on this trait frequently report feelings of dysphoria, worry, and tension. Social inhibition, or the tendency to inhibit the expression of emotions or behavior, is a major determinant of social distress.9,10 Patients who score high on this trait tend to avoid negative reactions from others.
Both traits define psychologically vulnerable patients and can be assessed with the type D scale (DS14).10 This brief measure consists of a seven-item negative affectivity subscale (eg, I often feel unhappy) and a seven-item inhibition subscale (eg, I am inhibited in social interactions), and has a clear two-factor structure and good reliability (Cronbach’s α = .88 and .86). Patients are classified as type D if they score 10 or higher on both DS14 subscales.10 The prevalence of type D personality ranges between 20% and 40% across different types of cardiovascular conditions.
The type D construct was designed for the early identification of chronically distressed patients. This article reviews (1) the risk of adverse events associated with type D, (2) the extent to which type D is distinct from depression, (3) the biologic pathways of type D, and (4) the implications of the type D personality profile.
RISK ASSOCIATED WITH TYPE D
The relationship between type D personality and adverse events has also been investigated in other cardiovascular conditions. Type D has been associated with poor prognosis in patients with peripheral arterial disease,17 but evidence for the prognostic role of type D in patients with chronic heart failure is mixed. In a study of patients with heart failure following myocardial infarction, type D predicted cardiac death independent of disease severity18; in a study of heart failure patients who underwent cardiac transplantation, type D was associated with early allograft rejection and increased mortality.19 However, type D was not associated with cardiac death in a recent, larger heart failure study.20 The link between psychologic factors and heart failure is complex3 and may be less obvious than the type D-CAD link.20 Type D has also been associated with the occurrence of life-threatening arrhythmias following implantable cardioverter defibrillator (ICD) treatment,21 and it has been shown to predict an increased risk for mortality in ICD patients, independent from shocks and disease severity.22
The wide range in odds ratios and confidence intervals indicates disparity in data across these type D studies (Table 1). We recently performed a metaanalysis of prospective studies between 1996 and 2009 to provide a more reliable estimate of the risk associated with type D. In this analysis, type D was associated with a threefold increased risk of adverse events23; the confidence interval of this pooled odds ratio ranged from 2.7 to 5.1. In addition, type D personality was associated with a threefold increased risk (range, 2.6 to 4.3) of emotional distress over time.23 From the recent studies that were not included in this meta-analysis, one reported negative findings20 and three others positive findings16,21,22 on the risk associated with type D.
COMPARING DEPRESSION AND TYPE D
Clinical evidence shows that, after adjustment for depression, type D remained a predictor of adverse cardiac events in CAD.16,24,25 Following ICD implantation, anxious type D patients were at risk of ventricular arrhythmias, whereas depression did not predict arrhythmias.21 Type D also exerts an adverse effect on patients’ health status following coronary bypass surgery,26 heart failure,27 or myocardial infarction,28 adjusting for depressive symptoms. Type D is related to biomarkers of increased stress levels independent of depression29–31 and, unlike depression, type D is not confounded by the severity of cardiac disorder.32
Following myocardial infarction, only one of four distressed patients met criteria for both type D and depression; most had one form of distress but not the other.32 Research in healthy33 and in cardiac34 populations confirmed that items from depression and type D scales reflect different distress factors. After adjustment for depression at baseline, type D also predicted the incidence,35 persistence,36 and severity37,38 of depression and anxiety. However, these findings do not imply that depression and type D are antonymous perspectives or that one perspective is better than the other in predicting outcomes; rather, we would like to argue that both constructs represent complementary perspectives that have added value.23
BIOLOGIC PATHWAYS OF TYPE D
Other studies found that type D was associated with inflammatory dysregulation. In healthy adults, type D has been related to higher concentrations of C-reactive protein.41 In heart failure patients, type D is associated with increased plasma levels of the proinflammatory cytokine tumor necrosis factor (TNF)-α and its soluble receptors 1 and 2.46,47 Increased TNF-α levels may cause suppression of bone-marrow–derived endothelial progenitor cells (EPCs) that play an important role in maintaining vascular integrity. The negative affectivity component of type D has been shown to predict decreased circulating EPC counts in healthy individuals48; another study found that these EPC numbers were reduced by more than 50% in heart failure patients with a type D personality.49 Type D personality is also associated with an increased oxidative stress burden in patients with chronic heart failure.29 Studies on genetic linkage50 and heritability51 further support biologic underpinnings of the type D construct.
Regarding pathways that may explain the effect of type D, some issues are of special interest. First, genetic factors contribute to stability in type D personality, but environmental factors may induce changes in type D characteristics over time.51 Hence, given this role of environmental influences over time, behavioral intervention would be feasible and useful in type D patients. Second, type D can promote heart disease indirectly through behavioral pathways. Type D has been associated with a sedentary lifestyle,41,52 an unhealthy diet,53 and a passive coping style.54,55 Poor adherence to medical treatment56,57 and reluctance to consult clinical staff58 may jeopardize the working relationship with type D patients in clinical care. Intervention may focus on the management of these behavioral risk factors in type D patients. Third, many of these biologic40–43,48,50,51 and behavioral41,52–54 pathways have also been documented in healthy type D individuals, which suggests that these associations cannot be explained away by the confounding effect of underlying cardiovascular disease.
CLINICAL IMPLICATIONS OF TYPE D
The findings from type D research have a number of clinical implications. Type D is associated with an increased risk of adverse events,23 chronic distress,35–38 and suicidal ideation.59 Type D may also have an adverse effect on the outcome of invasive treatment.14,19,21,22,24,26,60
Type D was associated with mortality and morbidity at 9 months14 and 2 years24 following coronary artery stenting, and with impaired health status 1 year following bypass surgery.26 Type D also predicted mortality and allograft rejection following heart transplantation,19 and an increased risk of ventricular arrhythmia21 and mortality22 in ICD patients. Researchers from the Cleveland Clinic have shown that type D is a risk factor for anxiety in ICD patients.60
Regarding the DSM-IV classification by the American Psychiatric Association,61 type D qualifies for the diagnosis “psychological factors affecting medical condition” (Section 316). In keeping with this classification, the diagnostic category type D affects (1) the course of cardiovascular conditions,23 (2) the treatment of these conditions,56,57 and (3) the working relationship with medical staff.58 At present, no clinical trial has examined whether intervention for distress among type D patients alters their risk for adverse events. Nevertheless, some have argued that it is plausible for type D patients to learn new strategies to reduce their level of general distress.62 Previous research with patients experiencing symptoms like those of type D patients suggests that psychotherapy, social skills training, stress management, and relaxation training may reduce stress in these patients and improve their ability to express their emotions to others.62 Others have suggested that stress management training, including communication skills and problem-solving, may further improve the risk profile and health in cardiac patients.63
It is possible that type D patients may benefit from close monitoring of their clinical condition and from aggressive management of their risk factor profile to prevent adverse clinical events. Cardiac rehabilitation is an effective approach to treating risk factors and enhancing well-being in CAD.63,64 A few studies have examined the effect of cardiac rehabilitation in type D patients. One study found a significant decrease in the social inhibition component of type D following cardiac rehabilitation, but there was no change in the prevalence of type D at 1-year follow-up.65 Although the type D profile tends to remain stable during rehabilitation,65,66 evidence shows that type D patients who participate in cardiac rehabilitation improve in physical and mental health status.66 Cardiac rehabilitation may also ward off further deterioration in negative affect,67 which, in turn, has been associated with better survival in patients who participated in rehabilitation.68 Future studies need to examine the effect of cardiac rehabilitation and other personalized approaches to treatment in type D patients.
CONCLUSIONS
General distress shared across negative emotions6,23 may partly account for the role of depression, anxiety, and anger in cardiovascular disorders.1–5 Some cardiac patients are more likely to experience distress than others. Type D may identify these psychologically vulnerable patients who tend to experience general distress.23 This propensity to general distress differs from depression, predicts adverse outcomes, is linked to plausible biologic pathways, and highlights the chronic nature of psychologic distress in some cardiac patients.
After adjustment for depression, type D remains significantly associated with an increased risk of adverse events in patients with CAD.16,24,25 However, this association is less obvious in patients with heart failure, and type D did not predict survival in one heart failure study.20 Although initial findings suggest a number of plausible biologic and behavioral pathways, more research is needed to explain the adverse effect of type D on cardiovascular outcomes. Future research also needs to investigate whether type D patients may benefit from close monitoring of their risk factors and a more personalized approach to behavioral and cardiac treatment.
Overall, the current understanding of type D indicates that general distress should not be ignored in the link between mind and heart, and that cardiovascular patients who have a type D personality profile are particularly vulnerable to the adverse clinical effects of general distress. The DS1410 is a brief, well-validated measure of type D that could be incorporated into clinical research and practice to identify patients who are at risk of chronic distress and poor prognosis.
Depression has been studied extensively in relation to cardiovascular disease.1–3 In addition to depression, anger4 and anxiety5 also may promote coronary artery disease (CAD), suggesting that emotional distress in general may be related to increased cardiovascular risk. Evidence indicates that the general distress shared across depression, anger, and anxiety predicts CAD, even after controlling for each of these specific negative emotions.6
THE CONCEPT OF TYPE D PERSONALITY
Lately, there is a renewed interest in broad individual differences in general distress and heart disease.7 Since psychologic factors often cluster together in individual patients, biobehavioral research may benefit from the identification of discrete personality subtypes.8 This focus on the identification of psychologically vulnerable patients who are at increased risk for adverse outcomes has led to the introduction of the distressed9 or type D10 personality profile in cardiovascular research. This personality construct is defined as follows:
“The type D (distressed) personality profile refers to a general propensity to psychological distress that is characterized by the combination of negative affectivity and social inhibition.”10
Negative affectivity, or the tendency to experience negative emotions across time and situations, is a major determinant of emotional distress in cardiac patients.9,10 Patients who score high on this trait frequently report feelings of dysphoria, worry, and tension. Social inhibition, or the tendency to inhibit the expression of emotions or behavior, is a major determinant of social distress.9,10 Patients who score high on this trait tend to avoid negative reactions from others.
Both traits define psychologically vulnerable patients and can be assessed with the type D scale (DS14).10 This brief measure consists of a seven-item negative affectivity subscale (eg, I often feel unhappy) and a seven-item inhibition subscale (eg, I am inhibited in social interactions), and has a clear two-factor structure and good reliability (Cronbach’s α = .88 and .86). Patients are classified as type D if they score 10 or higher on both DS14 subscales.10 The prevalence of type D personality ranges between 20% and 40% across different types of cardiovascular conditions.
The type D construct was designed for the early identification of chronically distressed patients. This article reviews (1) the risk of adverse events associated with type D, (2) the extent to which type D is distinct from depression, (3) the biologic pathways of type D, and (4) the implications of the type D personality profile.
RISK ASSOCIATED WITH TYPE D
The relationship between type D personality and adverse events has also been investigated in other cardiovascular conditions. Type D has been associated with poor prognosis in patients with peripheral arterial disease,17 but evidence for the prognostic role of type D in patients with chronic heart failure is mixed. In a study of patients with heart failure following myocardial infarction, type D predicted cardiac death independent of disease severity18; in a study of heart failure patients who underwent cardiac transplantation, type D was associated with early allograft rejection and increased mortality.19 However, type D was not associated with cardiac death in a recent, larger heart failure study.20 The link between psychologic factors and heart failure is complex3 and may be less obvious than the type D-CAD link.20 Type D has also been associated with the occurrence of life-threatening arrhythmias following implantable cardioverter defibrillator (ICD) treatment,21 and it has been shown to predict an increased risk for mortality in ICD patients, independent from shocks and disease severity.22
The wide range in odds ratios and confidence intervals indicates disparity in data across these type D studies (Table 1). We recently performed a metaanalysis of prospective studies between 1996 and 2009 to provide a more reliable estimate of the risk associated with type D. In this analysis, type D was associated with a threefold increased risk of adverse events23; the confidence interval of this pooled odds ratio ranged from 2.7 to 5.1. In addition, type D personality was associated with a threefold increased risk (range, 2.6 to 4.3) of emotional distress over time.23 From the recent studies that were not included in this meta-analysis, one reported negative findings20 and three others positive findings16,21,22 on the risk associated with type D.
COMPARING DEPRESSION AND TYPE D
Clinical evidence shows that, after adjustment for depression, type D remained a predictor of adverse cardiac events in CAD.16,24,25 Following ICD implantation, anxious type D patients were at risk of ventricular arrhythmias, whereas depression did not predict arrhythmias.21 Type D also exerts an adverse effect on patients’ health status following coronary bypass surgery,26 heart failure,27 or myocardial infarction,28 adjusting for depressive symptoms. Type D is related to biomarkers of increased stress levels independent of depression29–31 and, unlike depression, type D is not confounded by the severity of cardiac disorder.32
Following myocardial infarction, only one of four distressed patients met criteria for both type D and depression; most had one form of distress but not the other.32 Research in healthy33 and in cardiac34 populations confirmed that items from depression and type D scales reflect different distress factors. After adjustment for depression at baseline, type D also predicted the incidence,35 persistence,36 and severity37,38 of depression and anxiety. However, these findings do not imply that depression and type D are antonymous perspectives or that one perspective is better than the other in predicting outcomes; rather, we would like to argue that both constructs represent complementary perspectives that have added value.23
BIOLOGIC PATHWAYS OF TYPE D
Other studies found that type D was associated with inflammatory dysregulation. In healthy adults, type D has been related to higher concentrations of C-reactive protein.41 In heart failure patients, type D is associated with increased plasma levels of the proinflammatory cytokine tumor necrosis factor (TNF)-α and its soluble receptors 1 and 2.46,47 Increased TNF-α levels may cause suppression of bone-marrow–derived endothelial progenitor cells (EPCs) that play an important role in maintaining vascular integrity. The negative affectivity component of type D has been shown to predict decreased circulating EPC counts in healthy individuals48; another study found that these EPC numbers were reduced by more than 50% in heart failure patients with a type D personality.49 Type D personality is also associated with an increased oxidative stress burden in patients with chronic heart failure.29 Studies on genetic linkage50 and heritability51 further support biologic underpinnings of the type D construct.
Regarding pathways that may explain the effect of type D, some issues are of special interest. First, genetic factors contribute to stability in type D personality, but environmental factors may induce changes in type D characteristics over time.51 Hence, given this role of environmental influences over time, behavioral intervention would be feasible and useful in type D patients. Second, type D can promote heart disease indirectly through behavioral pathways. Type D has been associated with a sedentary lifestyle,41,52 an unhealthy diet,53 and a passive coping style.54,55 Poor adherence to medical treatment56,57 and reluctance to consult clinical staff58 may jeopardize the working relationship with type D patients in clinical care. Intervention may focus on the management of these behavioral risk factors in type D patients. Third, many of these biologic40–43,48,50,51 and behavioral41,52–54 pathways have also been documented in healthy type D individuals, which suggests that these associations cannot be explained away by the confounding effect of underlying cardiovascular disease.
CLINICAL IMPLICATIONS OF TYPE D
The findings from type D research have a number of clinical implications. Type D is associated with an increased risk of adverse events,23 chronic distress,35–38 and suicidal ideation.59 Type D may also have an adverse effect on the outcome of invasive treatment.14,19,21,22,24,26,60
Type D was associated with mortality and morbidity at 9 months14 and 2 years24 following coronary artery stenting, and with impaired health status 1 year following bypass surgery.26 Type D also predicted mortality and allograft rejection following heart transplantation,19 and an increased risk of ventricular arrhythmia21 and mortality22 in ICD patients. Researchers from the Cleveland Clinic have shown that type D is a risk factor for anxiety in ICD patients.60
Regarding the DSM-IV classification by the American Psychiatric Association,61 type D qualifies for the diagnosis “psychological factors affecting medical condition” (Section 316). In keeping with this classification, the diagnostic category type D affects (1) the course of cardiovascular conditions,23 (2) the treatment of these conditions,56,57 and (3) the working relationship with medical staff.58 At present, no clinical trial has examined whether intervention for distress among type D patients alters their risk for adverse events. Nevertheless, some have argued that it is plausible for type D patients to learn new strategies to reduce their level of general distress.62 Previous research with patients experiencing symptoms like those of type D patients suggests that psychotherapy, social skills training, stress management, and relaxation training may reduce stress in these patients and improve their ability to express their emotions to others.62 Others have suggested that stress management training, including communication skills and problem-solving, may further improve the risk profile and health in cardiac patients.63
It is possible that type D patients may benefit from close monitoring of their clinical condition and from aggressive management of their risk factor profile to prevent adverse clinical events. Cardiac rehabilitation is an effective approach to treating risk factors and enhancing well-being in CAD.63,64 A few studies have examined the effect of cardiac rehabilitation in type D patients. One study found a significant decrease in the social inhibition component of type D following cardiac rehabilitation, but there was no change in the prevalence of type D at 1-year follow-up.65 Although the type D profile tends to remain stable during rehabilitation,65,66 evidence shows that type D patients who participate in cardiac rehabilitation improve in physical and mental health status.66 Cardiac rehabilitation may also ward off further deterioration in negative affect,67 which, in turn, has been associated with better survival in patients who participated in rehabilitation.68 Future studies need to examine the effect of cardiac rehabilitation and other personalized approaches to treatment in type D patients.
CONCLUSIONS
General distress shared across negative emotions6,23 may partly account for the role of depression, anxiety, and anger in cardiovascular disorders.1–5 Some cardiac patients are more likely to experience distress than others. Type D may identify these psychologically vulnerable patients who tend to experience general distress.23 This propensity to general distress differs from depression, predicts adverse outcomes, is linked to plausible biologic pathways, and highlights the chronic nature of psychologic distress in some cardiac patients.
After adjustment for depression, type D remains significantly associated with an increased risk of adverse events in patients with CAD.16,24,25 However, this association is less obvious in patients with heart failure, and type D did not predict survival in one heart failure study.20 Although initial findings suggest a number of plausible biologic and behavioral pathways, more research is needed to explain the adverse effect of type D on cardiovascular outcomes. Future research also needs to investigate whether type D patients may benefit from close monitoring of their risk factors and a more personalized approach to behavioral and cardiac treatment.
Overall, the current understanding of type D indicates that general distress should not be ignored in the link between mind and heart, and that cardiovascular patients who have a type D personality profile are particularly vulnerable to the adverse clinical effects of general distress. The DS1410 is a brief, well-validated measure of type D that could be incorporated into clinical research and practice to identify patients who are at risk of chronic distress and poor prognosis.
- Pozuelo L, Zhang J, Franco K, Tesar G, Penn M, Jiang W. Depression and heart disease: what do we know, and where are we headed? Cleve Clin J Med 2009; 76:59–70.
- Davidson KW, Korin MR. Depression and cardiovascular disease: selected findings, controversies, and clinical implications from 2009. Cleve Clin J Med 2010; 77 (suppl 3):S20–S26.
- Kop WJ, Synowski SJ, Gottlieb SS. Depression in heart failure: biobehavioral mechanisms. Heart Failure Clin 2011; 7:23–38.
- Chida Y, Steptoe A. The association of anger and hostility with future coronary heart disease: a meta-analytic review of prospective evidence. J Am Coll Cardiol 2009; 53:936–946.
- Roest AM, Martens EJ, de Jonge P, Denollet J. Anxiety and risk of incident coronary heart disease: a meta-analysis. J Am Coll Cardiol 2010; 56:38–46.
- Kubzansky LD, Cole SR, Kawachi I, Vokonas P, Sparrow D. Shared and unique contributions of anger, anxiety, and depression to coronary heart disease: a prospective study in the normative aging study. Ann Behav Med 2006; 31:21–29.
- Steptoe A, Molloy GJ. Personality and heart disease. Heart 2007; 93:783–784.
- Denollet J. Biobehavioral research on coronary heart disease: where is the person? J Behav Med 1993; 16:115–141.
- Denollet J, Sys SU, Brutsaert DL. Personality and mortality after myocardial infarction. Psychosom Med 1995; 57:582–591.
- Denollet J. DS14: standard assessment of negative affectivity, social inhibition, and Type D personality. Psychosom Med 2005; 67:89–97.
- Denollet J, Sys SU, Stoobant N, Rombouts H, Gillebert TC, Brutsaert DL. Personality as independent predictor of long-term mortality in patients with coronary heart disease. Lancet 1996; 347:417–421.
- Denollet J, Vaes J, Brutsaert DL. Inadequate response to treatment in coronary heart disease: adverse effects of type D personality and younger age on 5-year prognosis and quality of life. Circulation 2000; 102:630–635.
- Denollet J, Pedersen SS, Vrints CJ, Conraads VM. Usefulness of type D personality in predicting five-year cardiac events above and beyond concurrent symptoms of stress in patients with coronary heart disease. Am J Cardiol 2006; 97:970–973.
- Pedersen SS, Lemos PA, van Vooren PR, et al. Type D personality predicts death or myocardial infarction after bare metal stent or sirolimus-eluting stent implantation: a Rapamycin-Eluting Stent Evaluated at Rotterdam Cardiology Hospital (RESEARCH) registry substudy. J Am Coll Cardiol 2004; 44:997–1001.
- Pedersen SS, Denollet J, Ong AT, et al. Adverse clinical events in patients treated with sirolimus-eluting stents: the impact of Type D personality. Eur J Cardiovasc Prev Rehabil 2007; 14:135–140.
- Martens EJ, Mols F, Burg MM, Denollet J. Type D personality predicts clinical events after myocardial infarction, above and beyond disease severity and depression. J Clin Psychiatry 2010; 71:778–783.
- Aquarius AE, Smolderen KG, Hamming JF, De Vries J, Vriens PW, Denollet J. Type D personality and mortality in peripheral arterial disease: a pilot study. Arch Surg 2009; 144:728–733.
- Denollet J, Brutsaert DL. Personality, disease severity, and the risk of long-term cardiac events in patients with a decreased ejection fraction after myocardial infarction. Circulation 1998; 97:167–173.
- Denollet J, Holmes RV, Vrints CJ, Conraads VM. Unfavorable outcome of heart transplantation in recipients with type D personality. J Heart Lung Transplant 2007; 26:152–158.
- Pelle AJ, Pedersen SS, Schiffer AA, Szabó BM, Widdershoven JW, Denollet J. Psychological distress and mortality in systolic heart failure. Circ Heart Fail 2010; 3:261–267.
- van den Broek KC, Nyklíček I, van der Voort PH, Alings M, Meijer A, Denollet J. Risk of ventricular arrhythmia after implantable defibrillator treatment in anxious type D patients. J Am Coll Cardiol 2009; 54:531–537.
- Pedersen SS, van den Broek KC, Erdman RA, Jordaens L, Theuns DA. Pre-implantation implantable cardioverter defibrillator concerns and Type D personality increase the risk of mortality in patients with an implantable cardioverter defibrillator. Europace 2010; 12:1446–1452.
- Denollet J, Schiffer AA, Spek V. A general propensity to psychological distress affects cardiovascular outcomes: evidence from research on the type D (distressed) personality profile. Circ Cardiovasc Qual Outcomes 2010; 3:546–557.
- Denollet J, Pedersen SS, Ong AT, Erdman RA, Serruys PW, van Domburg RT. Social inhibition modulates the effect of negative emotions on cardiac prognosis following percutaneous coronary intervention in the drug-eluting stent era. Eur Heart J 2006; 27:171–177.
- Denollet J, Pedersen SS. Prognostic value of Type D personality compared with depressive symptoms. Arch Intern Med 2008; 168:431–432.
- Al-Ruzzeh S, Athanasiou T, Mangoush O, et al. Predictors of poor mid-term health related quality of life after primary isolated coronary artery bypass grafting surgery. Heart 2005; 91:1557–1562.
- Schiffer AA, Pedersen SS, Widdershoven JW, Denollet J. Type D personality and depressive symptoms are independent predictors of impaired health status in chronic heart failure. Eur J Heart Fail 2008; 10:802–810.
- Mols F, Martens EJ, Denollet J. Type D personality and depressive symptoms are independent predictors of impaired health status following acute myocardial infarction. Heart 2010; 96:30–35.
- Kupper N, Gidron Y, Winter J, Denollet J. Association between type D personality, depression, and oxidative stress in patients with chronic heart failure. Psychosom Med 2009; 71:973–980.
- Whitehead DL, Perkins-Porras L, Strike PC, Magid K, Steptoe A. Cortisol awakening response is elevated in acute coronary syndrome patients with type-D personality. J Psychosom Res 2007; 62:419–425.
- Molloy GJ, Perkins-Porras L, Strike PC, Steptoe A. Type-D personality and cortisol in survivors of acute coronary syndrome. Psychosom Med 2008; 70:863–868.
- Denollet J, de Jonge P, Kuyper A, et al. Depression and Type D personality represent different forms of distress in the Myocardial INfarction and Depression–Intervention Trial (MIND-IT). Psychol Med 2009; 39:749–756.
- Kudielka BM, von Känel R, Gander ML, Fischer JE. The interrelationship of psychosocial risk factors for coronary artery disease in a working population: do we measure distinct or overlapping psychological concepts? Behav Med 2004; 30:35–43.
- Pelle AJ, Denollet J, Zwisler AD, Pedersen SS. Overlap and distinctiveness of psychological risk factors in patients with ischemic heart disease and chronic heart failure: are we there yet? J Affect Disord 2009; 113:150–156.
- Pedersen SS, Ong AT, Sonnenschein K, Serruys PW, Erdman RA, van Domburg RT. Type D personality and diabetes predict the onset of depressive symptoms in patients after percutaneous coronary intervention. Am Heart J 2006; 151:367.e1–367.e6.
- Martens EJ, Smith OR, Winter J, Denollet J, Pedersen SS. Cardiac history, prior depression and personality predict course of depressive symptoms after myocardial infarction. Psychol Med 2008; 38:257–264.
- van Gestel YR, Pedersen SS, van de Sande M, et al. Type-D personality and depressive symptoms predict anxiety 12 months post-percutaneous coronary intervention. J Affect Disord 2007; 103:197–203.
- Schiffer AA, Pedersen SS, Broers H, Widdershoven JW, Denollet J. Type-D personality but not depression predicts severity of anxiety in heart failure patients at 1-year follow-up. J Affect Disord 2008; 106:73–81.
- Sher L. Type D personality: the heart, stress, and cortisol. QJM 2005; 98:323–329.
- Habra ME, Linden W, Anderson JC, Weinberg J. Type D personality is related to cardiovascular and neuroendocrine reactivity to acute stress. J Psychosom Res 2003; 55:235–245.
- Einvik G, Dammen T, Hrubos-Strøm H, et al. Prevalence of cardiovascular risk factors and concentration of C-reactive protein in type D personality persons without cardiovascular disease [published online ahead of print February 9, 2011]. Eur J Cardiovasc Prev Rehabil. PMID: 21450648.
- Williams L, O’Carroll RE, O’Connor RC. Type D personality and cardiac output in response to stress. Psychol Health 2009; 24:489–500.
- Martin LA, Doster JA, Critelli JW, et al. Ethnicity and Type D personality as predictors of heart rate variability. Int J Psychophysiol 2010; 76:118–121.
- von Känel R, Barth J, Kohls S, et al. Heart rate recovery after exercise in chronic heart failure: role of vital exhaustion and type D personality. J Cardiol 2009; 53:248–256.
- Carney RM, Freedland KE. Depression and heart rate variability in patients with coronary heart disease. Cleve Clin J Med 2009; 76( suppl 2):S13–S17.
- Denollet J, Vrints CJ, Conraads VM. Comparing Type D personality and older age as correlates of tumor necrosis factor-α dysregulation in chronic heart failure. Brain Behav Immun 2008; 22:736–743.
- Denollet J, Schiffer AA, Kwaijtaal M, et al. Usefulness of Type D personality and kidney dysfunction as predictors of interpatient variability in inflammatory activation in chronic heart failure. Am J Cardiol 2009; 103:399–404.
- Fischer JC, Kudielka BM, von Känel R, Siegrist J, Thayer JF, Fischer JE. Bone-marrow derived progenitor cells are associated with psychosocial determinants of health after controlling for classical biological and behavioral cardiovascular risk factors. Brain Behav Immun 2009; 23:419–426.
- Van Craenenbroeck EM, Denollet J, Paelinck BP, et al. Circulating CD34+/KDR+ endothelial progenitor cells are reduced in chronic heart failure patients as a function of Type D personality. Clin Sci 2009; 117:165–172.
- Ladwig K-H, Emeny RT, Gieger C, et al. Single nucleotide polymorphism associations with type-D personality in the general population: findings from the KORA K-500-substudy. Psychosom Med 2009; 71:A-28. Abstract 1781.
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- Williams L, O’Connor RC, Howard S, et al. Type-D personality mechanisms of effect: the role of health-related behavior and social support. J Psychosom Res 2008; 64:63–69.
- Polman R, Borkoles E, Nicholls AR. Type D personality, stress, and symptoms of burnout: the influence of avoidance coping and social support. Br J Health Psychol 2010; 15:681–696.
- Yu X-N, Chen Z, Zhang J, Liu X. Coping mediates the association between Type D personality and perceived health in Chinese patients with coronary heart disease. Int J Behav Med. 2010; Oct 13[Epub ahead of print].
- Broström A, Strömberg A, Mårtensson J, Ulander M, Harder L, Svanborg E. Association of Type D personality to perceived side effects and adherence in CPAP-treated patients with OSAS. J Sleep Res 2007; 16:439–447.
- Williams L, O’Connor RC, Grubb N, O’Carroll R. Type D personality predicts poor medication adherence in myocardial infarction patients [published online ahead of print March 3, 2011]. Psychol Health. PMID: 21391133.
- Schiffer AA, Denollet J, Widdershoven JW, Hendriks EH, Smith OR. Failure to consult for symptoms of heart failure in patients with a type-D personality. Heart 2007; 93:814–818.
- Michal M, Wiltink J, Till Y, et al. Type D personality and depersonalization are associated with suicidal ideation in the German general population aged 35–74: results from the Gutenberg Heart Study. J Affect Disord 2010; 125:227–233.
- Pozuelo L, Panko M, Ching B, et al. Prevalence of anxiety and type-D personality in an outpatient ICD clinic. Circulation 2009; 120:S493–S494. Abstract 1385.
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. Fourth Edition. Washington, DC: American Psychiatric Association, 2000.
- Tulloch H, Pelletier R. Does personality matter after all? Type D personality and its implications for cardiovascular prevention and rehabilitation. Curr Issues Card Rehab Prevention 2008; 16:2–4.
- Blumenthal JA, Wang JT, Babyak M, et al. Enhancing standard cardiac rehabilitation with stress management training: background, methods, and design for the enhanced study. J Cardiopulm Rehabil Prev 2010; 30:77–84.
- Denollet J. Sensitivity of outcome assessment in cardiac rehabilitation. J Consult Clin Psychol 1993; 61:686–695.
- Karlsson MR, Edström-Plüss C, Held C, Henriksson P, Billing E, Wallén NH. Effects of expanded cardiac rehabilitation on psychosocial status in coronary artery disease with focus on type D characteristics. J Behav Med 2007; 30:253–261.
- Pelle AJ, Erdman RA, van Domburg RT, Spiering M, Kazemier M, Pedersen SS. Type D patients report poorer health status prior to and after cardiac rehabilitation compared to non-type D patients. Ann Behav Med 2008; 36:167–175.
- Denollet J, Brutsaert DL. Enhancing emotional well-being by comprehensive rehabilitation in patients with coronary heart disease. Eur Heart J 1995; 16:1070–1078.
- Denollet J, Brutsaert DL. Reducing emotional distress improves prognosis in coronary heart disease: 9-year mortality in a clinical trial of rehabilitation. Circulation 2001; 104:2018–2023.
- Pozuelo L, Zhang J, Franco K, Tesar G, Penn M, Jiang W. Depression and heart disease: what do we know, and where are we headed? Cleve Clin J Med 2009; 76:59–70.
- Davidson KW, Korin MR. Depression and cardiovascular disease: selected findings, controversies, and clinical implications from 2009. Cleve Clin J Med 2010; 77 (suppl 3):S20–S26.
- Kop WJ, Synowski SJ, Gottlieb SS. Depression in heart failure: biobehavioral mechanisms. Heart Failure Clin 2011; 7:23–38.
- Chida Y, Steptoe A. The association of anger and hostility with future coronary heart disease: a meta-analytic review of prospective evidence. J Am Coll Cardiol 2009; 53:936–946.
- Roest AM, Martens EJ, de Jonge P, Denollet J. Anxiety and risk of incident coronary heart disease: a meta-analysis. J Am Coll Cardiol 2010; 56:38–46.
- Kubzansky LD, Cole SR, Kawachi I, Vokonas P, Sparrow D. Shared and unique contributions of anger, anxiety, and depression to coronary heart disease: a prospective study in the normative aging study. Ann Behav Med 2006; 31:21–29.
- Steptoe A, Molloy GJ. Personality and heart disease. Heart 2007; 93:783–784.
- Denollet J. Biobehavioral research on coronary heart disease: where is the person? J Behav Med 1993; 16:115–141.
- Denollet J, Sys SU, Brutsaert DL. Personality and mortality after myocardial infarction. Psychosom Med 1995; 57:582–591.
- Denollet J. DS14: standard assessment of negative affectivity, social inhibition, and Type D personality. Psychosom Med 2005; 67:89–97.
- Denollet J, Sys SU, Stoobant N, Rombouts H, Gillebert TC, Brutsaert DL. Personality as independent predictor of long-term mortality in patients with coronary heart disease. Lancet 1996; 347:417–421.
- Denollet J, Vaes J, Brutsaert DL. Inadequate response to treatment in coronary heart disease: adverse effects of type D personality and younger age on 5-year prognosis and quality of life. Circulation 2000; 102:630–635.
- Denollet J, Pedersen SS, Vrints CJ, Conraads VM. Usefulness of type D personality in predicting five-year cardiac events above and beyond concurrent symptoms of stress in patients with coronary heart disease. Am J Cardiol 2006; 97:970–973.
- Pedersen SS, Lemos PA, van Vooren PR, et al. Type D personality predicts death or myocardial infarction after bare metal stent or sirolimus-eluting stent implantation: a Rapamycin-Eluting Stent Evaluated at Rotterdam Cardiology Hospital (RESEARCH) registry substudy. J Am Coll Cardiol 2004; 44:997–1001.
- Pedersen SS, Denollet J, Ong AT, et al. Adverse clinical events in patients treated with sirolimus-eluting stents: the impact of Type D personality. Eur J Cardiovasc Prev Rehabil 2007; 14:135–140.
- Martens EJ, Mols F, Burg MM, Denollet J. Type D personality predicts clinical events after myocardial infarction, above and beyond disease severity and depression. J Clin Psychiatry 2010; 71:778–783.
- Aquarius AE, Smolderen KG, Hamming JF, De Vries J, Vriens PW, Denollet J. Type D personality and mortality in peripheral arterial disease: a pilot study. Arch Surg 2009; 144:728–733.
- Denollet J, Brutsaert DL. Personality, disease severity, and the risk of long-term cardiac events in patients with a decreased ejection fraction after myocardial infarction. Circulation 1998; 97:167–173.
- Denollet J, Holmes RV, Vrints CJ, Conraads VM. Unfavorable outcome of heart transplantation in recipients with type D personality. J Heart Lung Transplant 2007; 26:152–158.
- Pelle AJ, Pedersen SS, Schiffer AA, Szabó BM, Widdershoven JW, Denollet J. Psychological distress and mortality in systolic heart failure. Circ Heart Fail 2010; 3:261–267.
- van den Broek KC, Nyklíček I, van der Voort PH, Alings M, Meijer A, Denollet J. Risk of ventricular arrhythmia after implantable defibrillator treatment in anxious type D patients. J Am Coll Cardiol 2009; 54:531–537.
- Pedersen SS, van den Broek KC, Erdman RA, Jordaens L, Theuns DA. Pre-implantation implantable cardioverter defibrillator concerns and Type D personality increase the risk of mortality in patients with an implantable cardioverter defibrillator. Europace 2010; 12:1446–1452.
- Denollet J, Schiffer AA, Spek V. A general propensity to psychological distress affects cardiovascular outcomes: evidence from research on the type D (distressed) personality profile. Circ Cardiovasc Qual Outcomes 2010; 3:546–557.
- Denollet J, Pedersen SS, Ong AT, Erdman RA, Serruys PW, van Domburg RT. Social inhibition modulates the effect of negative emotions on cardiac prognosis following percutaneous coronary intervention in the drug-eluting stent era. Eur Heart J 2006; 27:171–177.
- Denollet J, Pedersen SS. Prognostic value of Type D personality compared with depressive symptoms. Arch Intern Med 2008; 168:431–432.
- Al-Ruzzeh S, Athanasiou T, Mangoush O, et al. Predictors of poor mid-term health related quality of life after primary isolated coronary artery bypass grafting surgery. Heart 2005; 91:1557–1562.
- Schiffer AA, Pedersen SS, Widdershoven JW, Denollet J. Type D personality and depressive symptoms are independent predictors of impaired health status in chronic heart failure. Eur J Heart Fail 2008; 10:802–810.
- Mols F, Martens EJ, Denollet J. Type D personality and depressive symptoms are independent predictors of impaired health status following acute myocardial infarction. Heart 2010; 96:30–35.
- Kupper N, Gidron Y, Winter J, Denollet J. Association between type D personality, depression, and oxidative stress in patients with chronic heart failure. Psychosom Med 2009; 71:973–980.
- Whitehead DL, Perkins-Porras L, Strike PC, Magid K, Steptoe A. Cortisol awakening response is elevated in acute coronary syndrome patients with type-D personality. J Psychosom Res 2007; 62:419–425.
- Molloy GJ, Perkins-Porras L, Strike PC, Steptoe A. Type-D personality and cortisol in survivors of acute coronary syndrome. Psychosom Med 2008; 70:863–868.
- Denollet J, de Jonge P, Kuyper A, et al. Depression and Type D personality represent different forms of distress in the Myocardial INfarction and Depression–Intervention Trial (MIND-IT). Psychol Med 2009; 39:749–756.
- Kudielka BM, von Känel R, Gander ML, Fischer JE. The interrelationship of psychosocial risk factors for coronary artery disease in a working population: do we measure distinct or overlapping psychological concepts? Behav Med 2004; 30:35–43.
- Pelle AJ, Denollet J, Zwisler AD, Pedersen SS. Overlap and distinctiveness of psychological risk factors in patients with ischemic heart disease and chronic heart failure: are we there yet? J Affect Disord 2009; 113:150–156.
- Pedersen SS, Ong AT, Sonnenschein K, Serruys PW, Erdman RA, van Domburg RT. Type D personality and diabetes predict the onset of depressive symptoms in patients after percutaneous coronary intervention. Am Heart J 2006; 151:367.e1–367.e6.
- Martens EJ, Smith OR, Winter J, Denollet J, Pedersen SS. Cardiac history, prior depression and personality predict course of depressive symptoms after myocardial infarction. Psychol Med 2008; 38:257–264.
- van Gestel YR, Pedersen SS, van de Sande M, et al. Type-D personality and depressive symptoms predict anxiety 12 months post-percutaneous coronary intervention. J Affect Disord 2007; 103:197–203.
- Schiffer AA, Pedersen SS, Broers H, Widdershoven JW, Denollet J. Type-D personality but not depression predicts severity of anxiety in heart failure patients at 1-year follow-up. J Affect Disord 2008; 106:73–81.
- Sher L. Type D personality: the heart, stress, and cortisol. QJM 2005; 98:323–329.
- Habra ME, Linden W, Anderson JC, Weinberg J. Type D personality is related to cardiovascular and neuroendocrine reactivity to acute stress. J Psychosom Res 2003; 55:235–245.
- Einvik G, Dammen T, Hrubos-Strøm H, et al. Prevalence of cardiovascular risk factors and concentration of C-reactive protein in type D personality persons without cardiovascular disease [published online ahead of print February 9, 2011]. Eur J Cardiovasc Prev Rehabil. PMID: 21450648.
- Williams L, O’Carroll RE, O’Connor RC. Type D personality and cardiac output in response to stress. Psychol Health 2009; 24:489–500.
- Martin LA, Doster JA, Critelli JW, et al. Ethnicity and Type D personality as predictors of heart rate variability. Int J Psychophysiol 2010; 76:118–121.
- von Känel R, Barth J, Kohls S, et al. Heart rate recovery after exercise in chronic heart failure: role of vital exhaustion and type D personality. J Cardiol 2009; 53:248–256.
- Carney RM, Freedland KE. Depression and heart rate variability in patients with coronary heart disease. Cleve Clin J Med 2009; 76( suppl 2):S13–S17.
- Denollet J, Vrints CJ, Conraads VM. Comparing Type D personality and older age as correlates of tumor necrosis factor-α dysregulation in chronic heart failure. Brain Behav Immun 2008; 22:736–743.
- Denollet J, Schiffer AA, Kwaijtaal M, et al. Usefulness of Type D personality and kidney dysfunction as predictors of interpatient variability in inflammatory activation in chronic heart failure. Am J Cardiol 2009; 103:399–404.
- Fischer JC, Kudielka BM, von Känel R, Siegrist J, Thayer JF, Fischer JE. Bone-marrow derived progenitor cells are associated with psychosocial determinants of health after controlling for classical biological and behavioral cardiovascular risk factors. Brain Behav Immun 2009; 23:419–426.
- Van Craenenbroeck EM, Denollet J, Paelinck BP, et al. Circulating CD34+/KDR+ endothelial progenitor cells are reduced in chronic heart failure patients as a function of Type D personality. Clin Sci 2009; 117:165–172.
- Ladwig K-H, Emeny RT, Gieger C, et al. Single nucleotide polymorphism associations with type-D personality in the general population: findings from the KORA K-500-substudy. Psychosom Med 2009; 71:A-28. Abstract 1781.
- Kupper N, Boomsma DI, de Geus EJ, Denollet J, Willemsen G. Nine-year stability of type D personality: contributions of genes and environment. Psychosom Med 2011; 73:75–82.
- Hausteiner C, Klupsch D, Emeny R, Baumert J, Ladwig KH; for the KORA Investigators. Clustering of negative affectivity and social inhibition in the community: prevalence of type D personality as a cardiovascular risk marker. Psychosom Med 2010; 72:163–171.
- Williams L, O’Connor RC, Howard S, et al. Type-D personality mechanisms of effect: the role of health-related behavior and social support. J Psychosom Res 2008; 64:63–69.
- Polman R, Borkoles E, Nicholls AR. Type D personality, stress, and symptoms of burnout: the influence of avoidance coping and social support. Br J Health Psychol 2010; 15:681–696.
- Yu X-N, Chen Z, Zhang J, Liu X. Coping mediates the association between Type D personality and perceived health in Chinese patients with coronary heart disease. Int J Behav Med. 2010; Oct 13[Epub ahead of print].
- Broström A, Strömberg A, Mårtensson J, Ulander M, Harder L, Svanborg E. Association of Type D personality to perceived side effects and adherence in CPAP-treated patients with OSAS. J Sleep Res 2007; 16:439–447.
- Williams L, O’Connor RC, Grubb N, O’Carroll R. Type D personality predicts poor medication adherence in myocardial infarction patients [published online ahead of print March 3, 2011]. Psychol Health. PMID: 21391133.
- Schiffer AA, Denollet J, Widdershoven JW, Hendriks EH, Smith OR. Failure to consult for symptoms of heart failure in patients with a type-D personality. Heart 2007; 93:814–818.
- Michal M, Wiltink J, Till Y, et al. Type D personality and depersonalization are associated with suicidal ideation in the German general population aged 35–74: results from the Gutenberg Heart Study. J Affect Disord 2010; 125:227–233.
- Pozuelo L, Panko M, Ching B, et al. Prevalence of anxiety and type-D personality in an outpatient ICD clinic. Circulation 2009; 120:S493–S494. Abstract 1385.
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. Fourth Edition. Washington, DC: American Psychiatric Association, 2000.
- Tulloch H, Pelletier R. Does personality matter after all? Type D personality and its implications for cardiovascular prevention and rehabilitation. Curr Issues Card Rehab Prevention 2008; 16:2–4.
- Blumenthal JA, Wang JT, Babyak M, et al. Enhancing standard cardiac rehabilitation with stress management training: background, methods, and design for the enhanced study. J Cardiopulm Rehabil Prev 2010; 30:77–84.
- Denollet J. Sensitivity of outcome assessment in cardiac rehabilitation. J Consult Clin Psychol 1993; 61:686–695.
- Karlsson MR, Edström-Plüss C, Held C, Henriksson P, Billing E, Wallén NH. Effects of expanded cardiac rehabilitation on psychosocial status in coronary artery disease with focus on type D characteristics. J Behav Med 2007; 30:253–261.
- Pelle AJ, Erdman RA, van Domburg RT, Spiering M, Kazemier M, Pedersen SS. Type D patients report poorer health status prior to and after cardiac rehabilitation compared to non-type D patients. Ann Behav Med 2008; 36:167–175.
- Denollet J, Brutsaert DL. Enhancing emotional well-being by comprehensive rehabilitation in patients with coronary heart disease. Eur Heart J 1995; 16:1070–1078.
- Denollet J, Brutsaert DL. Reducing emotional distress improves prognosis in coronary heart disease: 9-year mortality in a clinical trial of rehabilitation. Circulation 2001; 104:2018–2023.
Biofeedback in the treatment of heart disease
BIOFEEDBACK: WHAT IS IT?
The term “biofeedback” refers to the instrumentation or training process that allows biologic information to be recorded, displayed, and communicated back to an individual, allowing the individual to make adjustments in physiologic processes that may enhance health or performance. The biofeedback display is analogous to a mirror, in which physiologic processes can be observed and adjusted much as one might adjust a hairstyle or a tie.
In our work with cardiovascular disease patients, biofeedback is a training process that involves a subject or patient, a biofeedback coach or therapist, and state-of-the-art biofeedback equipment. For biofeedback training to be effective, the subject who is trying to learn the skill must be engaged and willing to practice, the coach must be trained in psychophysiology, and the equipment must display accurate readings in real time, allowing the subject to monitor and change physiologic reactions appropriately. The coach teaches the subject about the physiologic parameters, establishes target ranges, and helps the subject learn how to move the physiologic parameters in the right direction.1,2
Training often begins with a session in which a brief mental stress test is followed by a period of relaxation while physiologic parameters are recorded and displayed. This process helps the subject to understand the link between mental processes and physiologic arousal.
Biofeedback training can involve a number of physiologic modalities, including those that reflect autonomic nervous system arousal, such as skin conductance and heart rate variability, and those that are not strictly correlated with autonomic activity, such as surface muscle tension. Each physiologic parameter is recorded by a specific sensor, and all sensors are noninvasive. Sensors feed signals into a computer, where they are processed and amplified, and subjects are able to view the output on a computer screen.
Typically, in our work, there is one screen for the subject, on which a single parameter can be displayed, observed and discussed, and another screen for the coach, on which all parameters are displayed simultaneously. During a single session of biofeedback training, the coach may choose to work on a single parameter or switch between parameters, depending on how much progress is being made with each. In our work with patients, we generally train to simple parameters first, such as respiratory rate, finger temperature, and skin conductance, moving on to surface muscle tension, heart rate, and eventually heart rate variability, which is a more complex concept and more easily understood later in the training process.
It is important that the subject receive positive reinforcement for changing the physiologic parameters, and if the subject struggles too long with one parameter, it is generally useful to go back to a different parameter, where success may be more easily experienced. Ideally, by the end of six to eight training sessions, the subject will be able to make progress on all physiologic parameters, which will track together over time.
BIOFEEDBACK-ASSISTED STRESS MANAGEMENT
Pure biofeedback training consists of operant conditioning. That is, the subject learns to regulate his or her physiology in the right direction because of the feedback, which can be as simple as a pleasant image appearing on a computer screen or as complicated as a car moving faster around a racetrack; pure biofeedback involves changing physiology in response to positive reinforcement of some sort.
In practice, we generally employ biofeedback-assisted stress management (BFSM) rather than pure biofeedback. With BFSM, the subject learns to change physiology in the direction of health and wellness by learning techniques of stress management. The coach teaches the subject various relaxation techniques, such as slow and rhythmic breathing, guided imagery, progressive muscle relaxation, mindfulness, assertiveness, and how to change negative thought patterns. With regular practice, the subject learns to change the physiologic parameters by relaxing the body. For example, instead of instructing the subject to “increase your finger temperature” and assume that the subject will achieve this because doing so will make the light bulb on the screen glow more intensely, the BFSM coach may instead talk with the subject about eliminating stressful thoughts, learning to relax, and the fingers warming in response to the body relaxing.
We distinguish between techniques of stress management, some of which are mentioned above, and psychotherapy, which can certainly be effectively combined with biofeedback, but which we do not provide in our research studies. Coupling stress management techniques with biofeedback helps the subject change physiologic parameters in the direction of wellness and acquire tools that can be used in everyday life when stressful events arise. The objective of BFSM training is not just to change physiology, but also to change the way subjects respond to stressful events in daily life; ie, react to fewer events, react less intensely when they do react, and recover more quickly.
BIOFEEDBACK-ASSISTED STRESS MANAGEMENT IN CARDIOVASCULAR DISEASE
We are currently studying the effects of BFSM in patients with cardiovascular disease, including both heart failure and stable coronary artery disease. Patients with cardiovascular disease often are functionally limited, and they also experience psychologic distress related to physical limitations and other life stressors. Both the physical limitations and the psychologic distress impact quality of life. We hypothesize that BFSM will teach our patients techniques of stress management, both mental and physiologic, that will help relieve their psychologic distress and improve their quality of life. BFSM will also potentially decrease the overactivation of the sympathetic branch of the autonomic nervous system, which is common in cardiovascular disease, and correspondingly upregulate the contribution of the parasympathetic branch of the autonomic nervous system, which should be beneficial.3
A PROMISING TECHNIQUE IN HEART FAILURE
We are currently studying the effects of BFSM in patients with end-stage heart failure who are awaiting heart transplant at Cleveland Clinic.4 As noted in a recent review, biofeedback is a promising technique in heart failure that patients may be able to use to consciously regulate their autonomic nervous systems.5 We hypothesize that BFSM training will interfere with the overactivation of the sympathetic nervous system that is characteristic of heart failure, and that this will reverse the cellular and molecular remodeling that occurs in the failing human heart.
To date, we have enrolled 25 patients; 10 are being studied in our National Institutes of Health–funded Clinic Research Unit and 15 are inpatients. All 25 patients are listed as heart transplant candidates and have given consent for us to study their hearts when they are explanted.
Each patient receives eight sessions with a certified biofeedback therapist. The first and last sessions include mental stress tests, while the remaining six are BFSM training sessions. Patients are assessed at the beginning and end of the study using the 6-minute walk test, the Kansas City Cardiomyopathy Questionnaire, the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36), and measurement of plasma catecholamines.
The primary end point of the study is the measurement of cellular and molecular markers that have been shown to be altered in the failing human heart, testing the hypothesis that these markers will be reversed in the direction of normal in the BFSM therapy group. These markers are measured in the explanted failing heart when the patient receives a heart transplant.
It is too early to report the results of this study, since only seven patients have undergone transplantation to date. We are encouraged by several early findings, however, and hope these will be validated when the entire group is analyzed.
In early analysis, scores on the Kansas City Cardiomyopathy Questionnaire are improved in the last session compared with the first; patients have shown the ability to learn a slower breathing rate; and they are able to regulate their heart rate variability, as measured by the standard deviation of the N-to-N interval, or SDNN. Most important, measurements in the first seven hearts indicate that there is a degree of biologic remodeling of the failing heart after BFSM that is similar to what we have observed with left ventricular assist devices—hemodynamic pumps that take on the workload of the heart, permitting the heart to rest and recover while the patient is waiting for a transplant.6,7 If BFSM could produce changes in the cellular and molecular properties of the heart that are equal in magnitude to those produced by a mechanical pump, this would be a revolutionary finding in the field of heart-brain medicine.
It should be noted that we are not the first group to study BFSM in patients with heart failure. Moser and colleagues first observed that a single session of skin temperature biofeedback could have significant functional effects in patients with heart failure.8 Bernardi and coworkers showed that merely teaching patients to breathe six times per minute (a large component of BFSM training) improved oxygen saturation and exercise tolerance.9 Swanson and colleagues in 2009 demonstrated that patients with heart failure were able to regulate their heart rate variability, although they observed this only in patients with a left ventricular ejection fraction greater than 30%.10 Our preliminary data demonstrate regulation of heart rate variability in patients with lower ejection fractions, which is promising, but we have also added the biologic component of studying the explanted heart, allowing us to test the hypothesis that BFSM could potentially impact the remodeling process and thus have important therapeutic implications.
TRIAL UNDER WAY IN CORONARY ARTERY DISEASE
In addition to our studies of BFSM in heart failure, we have begun a randomized clinical trial of patients with stable coronary artery disease, type 2 diabetes, or multiple sclerosis. These three patient populations were chosen because evidence from numerous studies suggests that they all involve autonomic nervous system dysregulation as well as an inflammatory process.
It has already been mentioned that BFSM can interfere with overactivation of the sympathetic nervous system and potentially upregulate the contribution of the parasympathetic nervous system, which usually exists in juxtaposition to the sympathetic nervous system. Based on the work of Tracey,11,12 upregulating the parasympathetic nervous system should be antiinflammatory. Thus, we hypothesize that by decreasing both sympathetic nervous system activation and inflammation, BFSM should have an impact on patients with one of these disease states, resulting in improved quality of life and clinical status, reduced anxiety and depression, and changed disease-specific indicators of severity.
We are currently enrolling patients who have coronary artery disease, type 2 diabetes, or multiple sclerosis and randomizing them to groups that will receive either BFSM or usual care. Outcome variables that will be assessed in all patients include heart rate variability; the response of temperature, skin conductance, respiratory rate, and heart rate variability to mental stress; plasma catecholamine levels; plasma C-reactive protein levels; and tumor necrosis factor alpha levels. At the first and last visits, all patients will complete the SF-36, the eight-item Patient Health Questionnaire depression scale (PHQ-8), the Generalized Anxiety Disorder seven-item scale (GAD-7), and a visual analog pain scale. We will also assess disease-specific variables, including heart rate recovery after exercise, plasma lipids, and myeloperoxidase in patients with coronary artery disease; the Multiple Sclerosis Functional Composite (MSFC) test and the Modified Fatigue Impact Scale (MFIS) will be administered to patients with multiple sclerosis; and plasma glucose and hemoglobin A1C will be assessed in patients with type 2 diabetes.
Results of this study will provide data on the potential of BFSM to decrease common markers of autonomic nervous system activation and inflammatory cascades and the effect of those alterations on three specific disease states. To our knowledge, such a randomized study has not been conducted previously; our findings will add significantly to the literature on the mechanism of action of biofeedback-type interventions.
POTENTIAL IMPACT ON DEPRESSION IN CARDIOVASCULAR DISEASE
Depression is increasingly recognized as a component of many cardiovascular diseases; this raises the question of what effect BFSM therapy in cardiovascular disease patients will have on their depression. Of particular importance to this discussion, heart rate variability has been shown to be decreased both in cardiovascular disease and in depression, and BFSM is one treatment that can be used to regulate heart rate variability. Heart rate variability biofeedback has been shown to be useful in treating depression.
Work from Karavidas and colleagues showed that 10 weeks of heart rate variability biofeedback in patients with depression led to significantly improved scores on the Hamilton Depression Scale and the Beck Depression Inventory. Improvement was observed by the fourth week of training, with concurrent increases in the SDNN.13 Siepmann and colleagues also used heart rate variability biofeedback in depressed subjects and demonstrated significant improvement in scores on the Beck Depression Inventory, as well as a concomitant decrease in anxiety.14 In related work, Uhlmann and Fröscher used electroencephalographic biofeedback (also called neurofeedback) in epilepsy patients with depression and measured an increased sense of self control and a decrease in external locus of control; they postulated that biofeedback training provided an important opportunity for success, and thus increased internal control and decreased depression.15
Evidence suggests that BFSM should have an impact on depression in addition to impacting the cardiovascular disease itself, and both should work together to improve quality of life. For this reason we have added a depression inventory to our randomized trial of BFSM in patients who have coronary artery disease, diabetes, or multiple sclerosis.
- McKee MG. Biofeedback: an overview in the context of heart-brain medicine. Cleve Clin J Med 2008; 75(suppl 2):S31–S34.
- Frank DL, Khorshid L, Kiffer JF, Moravec CS, McKee MG. Biofeedback in medicine: who, when, why and how? Ment Health Fam Med 2010; 7:85–91.
- Moravec CS. Biofeedback therapy in cardiovascular disease: rationale and research overview. Cleve Clin J Med 2008; 75(suppl 2):S35–S38.
- McKee MG, Moravec CS. Biofeedback in the treatment of heart failure. Cleve Clin J Med 2010; 77(supp 3): S56–S59.
- Emani S, Binkley PF. Mind-body medicine in chronic heart failure: a translational science challenge. Circ Heart Fail 2010; 3:715–725.
- Ogletree-Hughes ML, Stull LB, Sweet WE, Smedira NG, McCarthy PM, Moravec CS. Mechanical unloading restores beta-adrenergic responsiveness and reverses receptor downregulation in the failing human heart. Circulation 2001; 104:881–886.
- Ogletree ML, Sweet WE, Talerico C, et al. Duration of left ventricular assist device support: effects on abnormal calcium cycling and functional recovery in the failing human heart. J Heart Lung Transplant 2010; 29:554–561.
- Moser DK, Dracup K, Woo MA, Stevenson LW. Voluntary control of vascular tone by using skin-temperature biofeedback-relaxation in patients with advanced heart failure. Altern Ther Health Med 1997; 3:51–59.
- Bernardi L, Porta C, Spicuzza L, et al. Slow breathing increases arterial baroreflex sensitivity in patients with chronic heart failure. Circulation 2002; 105:143–145.
- Swanson KS, Gevirtz RN, Brown M, Spira J, Guarneri E, Stoletniy L. The effect of biofeedback on function in patients with heart failure. Appl Psychophysiol Biofeedback 2009; 34:71–91.
- Tracey KJ. The inflammatory reflex. Nature 2002; 420:853–859.
- Tracey KJ. Reflex control of immunity. Nat Rev Immunol 2009; 9:418–428.
- Karavidas MK, Lehrer PM, Vaschillo E, et al. Preliminary results of an open label study of heart rate variability biofeedback for the treatment of major depression. Appl Psychophysiol Biofeedback 2007; 32:19–30.
- Siepmann M, Aykac V, Unterdörfer J, Petrowski K, Mueck-Weymann M. A pilot study on the effects of heart rate variability biofeedback in patients with depression and in healthy subjects. Appl Psychophysiol Biofeedback 2008; 33:195–201.
- Uhlmann C, Fröscher W. Biofeedback treatment in patients with refractory epilepsy: changes in depression and control orientation. Seizure 2001; 10:34–38.
BIOFEEDBACK: WHAT IS IT?
The term “biofeedback” refers to the instrumentation or training process that allows biologic information to be recorded, displayed, and communicated back to an individual, allowing the individual to make adjustments in physiologic processes that may enhance health or performance. The biofeedback display is analogous to a mirror, in which physiologic processes can be observed and adjusted much as one might adjust a hairstyle or a tie.
In our work with cardiovascular disease patients, biofeedback is a training process that involves a subject or patient, a biofeedback coach or therapist, and state-of-the-art biofeedback equipment. For biofeedback training to be effective, the subject who is trying to learn the skill must be engaged and willing to practice, the coach must be trained in psychophysiology, and the equipment must display accurate readings in real time, allowing the subject to monitor and change physiologic reactions appropriately. The coach teaches the subject about the physiologic parameters, establishes target ranges, and helps the subject learn how to move the physiologic parameters in the right direction.1,2
Training often begins with a session in which a brief mental stress test is followed by a period of relaxation while physiologic parameters are recorded and displayed. This process helps the subject to understand the link between mental processes and physiologic arousal.
Biofeedback training can involve a number of physiologic modalities, including those that reflect autonomic nervous system arousal, such as skin conductance and heart rate variability, and those that are not strictly correlated with autonomic activity, such as surface muscle tension. Each physiologic parameter is recorded by a specific sensor, and all sensors are noninvasive. Sensors feed signals into a computer, where they are processed and amplified, and subjects are able to view the output on a computer screen.
Typically, in our work, there is one screen for the subject, on which a single parameter can be displayed, observed and discussed, and another screen for the coach, on which all parameters are displayed simultaneously. During a single session of biofeedback training, the coach may choose to work on a single parameter or switch between parameters, depending on how much progress is being made with each. In our work with patients, we generally train to simple parameters first, such as respiratory rate, finger temperature, and skin conductance, moving on to surface muscle tension, heart rate, and eventually heart rate variability, which is a more complex concept and more easily understood later in the training process.
It is important that the subject receive positive reinforcement for changing the physiologic parameters, and if the subject struggles too long with one parameter, it is generally useful to go back to a different parameter, where success may be more easily experienced. Ideally, by the end of six to eight training sessions, the subject will be able to make progress on all physiologic parameters, which will track together over time.
BIOFEEDBACK-ASSISTED STRESS MANAGEMENT
Pure biofeedback training consists of operant conditioning. That is, the subject learns to regulate his or her physiology in the right direction because of the feedback, which can be as simple as a pleasant image appearing on a computer screen or as complicated as a car moving faster around a racetrack; pure biofeedback involves changing physiology in response to positive reinforcement of some sort.
In practice, we generally employ biofeedback-assisted stress management (BFSM) rather than pure biofeedback. With BFSM, the subject learns to change physiology in the direction of health and wellness by learning techniques of stress management. The coach teaches the subject various relaxation techniques, such as slow and rhythmic breathing, guided imagery, progressive muscle relaxation, mindfulness, assertiveness, and how to change negative thought patterns. With regular practice, the subject learns to change the physiologic parameters by relaxing the body. For example, instead of instructing the subject to “increase your finger temperature” and assume that the subject will achieve this because doing so will make the light bulb on the screen glow more intensely, the BFSM coach may instead talk with the subject about eliminating stressful thoughts, learning to relax, and the fingers warming in response to the body relaxing.
We distinguish between techniques of stress management, some of which are mentioned above, and psychotherapy, which can certainly be effectively combined with biofeedback, but which we do not provide in our research studies. Coupling stress management techniques with biofeedback helps the subject change physiologic parameters in the direction of wellness and acquire tools that can be used in everyday life when stressful events arise. The objective of BFSM training is not just to change physiology, but also to change the way subjects respond to stressful events in daily life; ie, react to fewer events, react less intensely when they do react, and recover more quickly.
BIOFEEDBACK-ASSISTED STRESS MANAGEMENT IN CARDIOVASCULAR DISEASE
We are currently studying the effects of BFSM in patients with cardiovascular disease, including both heart failure and stable coronary artery disease. Patients with cardiovascular disease often are functionally limited, and they also experience psychologic distress related to physical limitations and other life stressors. Both the physical limitations and the psychologic distress impact quality of life. We hypothesize that BFSM will teach our patients techniques of stress management, both mental and physiologic, that will help relieve their psychologic distress and improve their quality of life. BFSM will also potentially decrease the overactivation of the sympathetic branch of the autonomic nervous system, which is common in cardiovascular disease, and correspondingly upregulate the contribution of the parasympathetic branch of the autonomic nervous system, which should be beneficial.3
A PROMISING TECHNIQUE IN HEART FAILURE
We are currently studying the effects of BFSM in patients with end-stage heart failure who are awaiting heart transplant at Cleveland Clinic.4 As noted in a recent review, biofeedback is a promising technique in heart failure that patients may be able to use to consciously regulate their autonomic nervous systems.5 We hypothesize that BFSM training will interfere with the overactivation of the sympathetic nervous system that is characteristic of heart failure, and that this will reverse the cellular and molecular remodeling that occurs in the failing human heart.
To date, we have enrolled 25 patients; 10 are being studied in our National Institutes of Health–funded Clinic Research Unit and 15 are inpatients. All 25 patients are listed as heart transplant candidates and have given consent for us to study their hearts when they are explanted.
Each patient receives eight sessions with a certified biofeedback therapist. The first and last sessions include mental stress tests, while the remaining six are BFSM training sessions. Patients are assessed at the beginning and end of the study using the 6-minute walk test, the Kansas City Cardiomyopathy Questionnaire, the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36), and measurement of plasma catecholamines.
The primary end point of the study is the measurement of cellular and molecular markers that have been shown to be altered in the failing human heart, testing the hypothesis that these markers will be reversed in the direction of normal in the BFSM therapy group. These markers are measured in the explanted failing heart when the patient receives a heart transplant.
It is too early to report the results of this study, since only seven patients have undergone transplantation to date. We are encouraged by several early findings, however, and hope these will be validated when the entire group is analyzed.
In early analysis, scores on the Kansas City Cardiomyopathy Questionnaire are improved in the last session compared with the first; patients have shown the ability to learn a slower breathing rate; and they are able to regulate their heart rate variability, as measured by the standard deviation of the N-to-N interval, or SDNN. Most important, measurements in the first seven hearts indicate that there is a degree of biologic remodeling of the failing heart after BFSM that is similar to what we have observed with left ventricular assist devices—hemodynamic pumps that take on the workload of the heart, permitting the heart to rest and recover while the patient is waiting for a transplant.6,7 If BFSM could produce changes in the cellular and molecular properties of the heart that are equal in magnitude to those produced by a mechanical pump, this would be a revolutionary finding in the field of heart-brain medicine.
It should be noted that we are not the first group to study BFSM in patients with heart failure. Moser and colleagues first observed that a single session of skin temperature biofeedback could have significant functional effects in patients with heart failure.8 Bernardi and coworkers showed that merely teaching patients to breathe six times per minute (a large component of BFSM training) improved oxygen saturation and exercise tolerance.9 Swanson and colleagues in 2009 demonstrated that patients with heart failure were able to regulate their heart rate variability, although they observed this only in patients with a left ventricular ejection fraction greater than 30%.10 Our preliminary data demonstrate regulation of heart rate variability in patients with lower ejection fractions, which is promising, but we have also added the biologic component of studying the explanted heart, allowing us to test the hypothesis that BFSM could potentially impact the remodeling process and thus have important therapeutic implications.
TRIAL UNDER WAY IN CORONARY ARTERY DISEASE
In addition to our studies of BFSM in heart failure, we have begun a randomized clinical trial of patients with stable coronary artery disease, type 2 diabetes, or multiple sclerosis. These three patient populations were chosen because evidence from numerous studies suggests that they all involve autonomic nervous system dysregulation as well as an inflammatory process.
It has already been mentioned that BFSM can interfere with overactivation of the sympathetic nervous system and potentially upregulate the contribution of the parasympathetic nervous system, which usually exists in juxtaposition to the sympathetic nervous system. Based on the work of Tracey,11,12 upregulating the parasympathetic nervous system should be antiinflammatory. Thus, we hypothesize that by decreasing both sympathetic nervous system activation and inflammation, BFSM should have an impact on patients with one of these disease states, resulting in improved quality of life and clinical status, reduced anxiety and depression, and changed disease-specific indicators of severity.
We are currently enrolling patients who have coronary artery disease, type 2 diabetes, or multiple sclerosis and randomizing them to groups that will receive either BFSM or usual care. Outcome variables that will be assessed in all patients include heart rate variability; the response of temperature, skin conductance, respiratory rate, and heart rate variability to mental stress; plasma catecholamine levels; plasma C-reactive protein levels; and tumor necrosis factor alpha levels. At the first and last visits, all patients will complete the SF-36, the eight-item Patient Health Questionnaire depression scale (PHQ-8), the Generalized Anxiety Disorder seven-item scale (GAD-7), and a visual analog pain scale. We will also assess disease-specific variables, including heart rate recovery after exercise, plasma lipids, and myeloperoxidase in patients with coronary artery disease; the Multiple Sclerosis Functional Composite (MSFC) test and the Modified Fatigue Impact Scale (MFIS) will be administered to patients with multiple sclerosis; and plasma glucose and hemoglobin A1C will be assessed in patients with type 2 diabetes.
Results of this study will provide data on the potential of BFSM to decrease common markers of autonomic nervous system activation and inflammatory cascades and the effect of those alterations on three specific disease states. To our knowledge, such a randomized study has not been conducted previously; our findings will add significantly to the literature on the mechanism of action of biofeedback-type interventions.
POTENTIAL IMPACT ON DEPRESSION IN CARDIOVASCULAR DISEASE
Depression is increasingly recognized as a component of many cardiovascular diseases; this raises the question of what effect BFSM therapy in cardiovascular disease patients will have on their depression. Of particular importance to this discussion, heart rate variability has been shown to be decreased both in cardiovascular disease and in depression, and BFSM is one treatment that can be used to regulate heart rate variability. Heart rate variability biofeedback has been shown to be useful in treating depression.
Work from Karavidas and colleagues showed that 10 weeks of heart rate variability biofeedback in patients with depression led to significantly improved scores on the Hamilton Depression Scale and the Beck Depression Inventory. Improvement was observed by the fourth week of training, with concurrent increases in the SDNN.13 Siepmann and colleagues also used heart rate variability biofeedback in depressed subjects and demonstrated significant improvement in scores on the Beck Depression Inventory, as well as a concomitant decrease in anxiety.14 In related work, Uhlmann and Fröscher used electroencephalographic biofeedback (also called neurofeedback) in epilepsy patients with depression and measured an increased sense of self control and a decrease in external locus of control; they postulated that biofeedback training provided an important opportunity for success, and thus increased internal control and decreased depression.15
Evidence suggests that BFSM should have an impact on depression in addition to impacting the cardiovascular disease itself, and both should work together to improve quality of life. For this reason we have added a depression inventory to our randomized trial of BFSM in patients who have coronary artery disease, diabetes, or multiple sclerosis.
BIOFEEDBACK: WHAT IS IT?
The term “biofeedback” refers to the instrumentation or training process that allows biologic information to be recorded, displayed, and communicated back to an individual, allowing the individual to make adjustments in physiologic processes that may enhance health or performance. The biofeedback display is analogous to a mirror, in which physiologic processes can be observed and adjusted much as one might adjust a hairstyle or a tie.
In our work with cardiovascular disease patients, biofeedback is a training process that involves a subject or patient, a biofeedback coach or therapist, and state-of-the-art biofeedback equipment. For biofeedback training to be effective, the subject who is trying to learn the skill must be engaged and willing to practice, the coach must be trained in psychophysiology, and the equipment must display accurate readings in real time, allowing the subject to monitor and change physiologic reactions appropriately. The coach teaches the subject about the physiologic parameters, establishes target ranges, and helps the subject learn how to move the physiologic parameters in the right direction.1,2
Training often begins with a session in which a brief mental stress test is followed by a period of relaxation while physiologic parameters are recorded and displayed. This process helps the subject to understand the link between mental processes and physiologic arousal.
Biofeedback training can involve a number of physiologic modalities, including those that reflect autonomic nervous system arousal, such as skin conductance and heart rate variability, and those that are not strictly correlated with autonomic activity, such as surface muscle tension. Each physiologic parameter is recorded by a specific sensor, and all sensors are noninvasive. Sensors feed signals into a computer, where they are processed and amplified, and subjects are able to view the output on a computer screen.
Typically, in our work, there is one screen for the subject, on which a single parameter can be displayed, observed and discussed, and another screen for the coach, on which all parameters are displayed simultaneously. During a single session of biofeedback training, the coach may choose to work on a single parameter or switch between parameters, depending on how much progress is being made with each. In our work with patients, we generally train to simple parameters first, such as respiratory rate, finger temperature, and skin conductance, moving on to surface muscle tension, heart rate, and eventually heart rate variability, which is a more complex concept and more easily understood later in the training process.
It is important that the subject receive positive reinforcement for changing the physiologic parameters, and if the subject struggles too long with one parameter, it is generally useful to go back to a different parameter, where success may be more easily experienced. Ideally, by the end of six to eight training sessions, the subject will be able to make progress on all physiologic parameters, which will track together over time.
BIOFEEDBACK-ASSISTED STRESS MANAGEMENT
Pure biofeedback training consists of operant conditioning. That is, the subject learns to regulate his or her physiology in the right direction because of the feedback, which can be as simple as a pleasant image appearing on a computer screen or as complicated as a car moving faster around a racetrack; pure biofeedback involves changing physiology in response to positive reinforcement of some sort.
In practice, we generally employ biofeedback-assisted stress management (BFSM) rather than pure biofeedback. With BFSM, the subject learns to change physiology in the direction of health and wellness by learning techniques of stress management. The coach teaches the subject various relaxation techniques, such as slow and rhythmic breathing, guided imagery, progressive muscle relaxation, mindfulness, assertiveness, and how to change negative thought patterns. With regular practice, the subject learns to change the physiologic parameters by relaxing the body. For example, instead of instructing the subject to “increase your finger temperature” and assume that the subject will achieve this because doing so will make the light bulb on the screen glow more intensely, the BFSM coach may instead talk with the subject about eliminating stressful thoughts, learning to relax, and the fingers warming in response to the body relaxing.
We distinguish between techniques of stress management, some of which are mentioned above, and psychotherapy, which can certainly be effectively combined with biofeedback, but which we do not provide in our research studies. Coupling stress management techniques with biofeedback helps the subject change physiologic parameters in the direction of wellness and acquire tools that can be used in everyday life when stressful events arise. The objective of BFSM training is not just to change physiology, but also to change the way subjects respond to stressful events in daily life; ie, react to fewer events, react less intensely when they do react, and recover more quickly.
BIOFEEDBACK-ASSISTED STRESS MANAGEMENT IN CARDIOVASCULAR DISEASE
We are currently studying the effects of BFSM in patients with cardiovascular disease, including both heart failure and stable coronary artery disease. Patients with cardiovascular disease often are functionally limited, and they also experience psychologic distress related to physical limitations and other life stressors. Both the physical limitations and the psychologic distress impact quality of life. We hypothesize that BFSM will teach our patients techniques of stress management, both mental and physiologic, that will help relieve their psychologic distress and improve their quality of life. BFSM will also potentially decrease the overactivation of the sympathetic branch of the autonomic nervous system, which is common in cardiovascular disease, and correspondingly upregulate the contribution of the parasympathetic branch of the autonomic nervous system, which should be beneficial.3
A PROMISING TECHNIQUE IN HEART FAILURE
We are currently studying the effects of BFSM in patients with end-stage heart failure who are awaiting heart transplant at Cleveland Clinic.4 As noted in a recent review, biofeedback is a promising technique in heart failure that patients may be able to use to consciously regulate their autonomic nervous systems.5 We hypothesize that BFSM training will interfere with the overactivation of the sympathetic nervous system that is characteristic of heart failure, and that this will reverse the cellular and molecular remodeling that occurs in the failing human heart.
To date, we have enrolled 25 patients; 10 are being studied in our National Institutes of Health–funded Clinic Research Unit and 15 are inpatients. All 25 patients are listed as heart transplant candidates and have given consent for us to study their hearts when they are explanted.
Each patient receives eight sessions with a certified biofeedback therapist. The first and last sessions include mental stress tests, while the remaining six are BFSM training sessions. Patients are assessed at the beginning and end of the study using the 6-minute walk test, the Kansas City Cardiomyopathy Questionnaire, the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36), and measurement of plasma catecholamines.
The primary end point of the study is the measurement of cellular and molecular markers that have been shown to be altered in the failing human heart, testing the hypothesis that these markers will be reversed in the direction of normal in the BFSM therapy group. These markers are measured in the explanted failing heart when the patient receives a heart transplant.
It is too early to report the results of this study, since only seven patients have undergone transplantation to date. We are encouraged by several early findings, however, and hope these will be validated when the entire group is analyzed.
In early analysis, scores on the Kansas City Cardiomyopathy Questionnaire are improved in the last session compared with the first; patients have shown the ability to learn a slower breathing rate; and they are able to regulate their heart rate variability, as measured by the standard deviation of the N-to-N interval, or SDNN. Most important, measurements in the first seven hearts indicate that there is a degree of biologic remodeling of the failing heart after BFSM that is similar to what we have observed with left ventricular assist devices—hemodynamic pumps that take on the workload of the heart, permitting the heart to rest and recover while the patient is waiting for a transplant.6,7 If BFSM could produce changes in the cellular and molecular properties of the heart that are equal in magnitude to those produced by a mechanical pump, this would be a revolutionary finding in the field of heart-brain medicine.
It should be noted that we are not the first group to study BFSM in patients with heart failure. Moser and colleagues first observed that a single session of skin temperature biofeedback could have significant functional effects in patients with heart failure.8 Bernardi and coworkers showed that merely teaching patients to breathe six times per minute (a large component of BFSM training) improved oxygen saturation and exercise tolerance.9 Swanson and colleagues in 2009 demonstrated that patients with heart failure were able to regulate their heart rate variability, although they observed this only in patients with a left ventricular ejection fraction greater than 30%.10 Our preliminary data demonstrate regulation of heart rate variability in patients with lower ejection fractions, which is promising, but we have also added the biologic component of studying the explanted heart, allowing us to test the hypothesis that BFSM could potentially impact the remodeling process and thus have important therapeutic implications.
TRIAL UNDER WAY IN CORONARY ARTERY DISEASE
In addition to our studies of BFSM in heart failure, we have begun a randomized clinical trial of patients with stable coronary artery disease, type 2 diabetes, or multiple sclerosis. These three patient populations were chosen because evidence from numerous studies suggests that they all involve autonomic nervous system dysregulation as well as an inflammatory process.
It has already been mentioned that BFSM can interfere with overactivation of the sympathetic nervous system and potentially upregulate the contribution of the parasympathetic nervous system, which usually exists in juxtaposition to the sympathetic nervous system. Based on the work of Tracey,11,12 upregulating the parasympathetic nervous system should be antiinflammatory. Thus, we hypothesize that by decreasing both sympathetic nervous system activation and inflammation, BFSM should have an impact on patients with one of these disease states, resulting in improved quality of life and clinical status, reduced anxiety and depression, and changed disease-specific indicators of severity.
We are currently enrolling patients who have coronary artery disease, type 2 diabetes, or multiple sclerosis and randomizing them to groups that will receive either BFSM or usual care. Outcome variables that will be assessed in all patients include heart rate variability; the response of temperature, skin conductance, respiratory rate, and heart rate variability to mental stress; plasma catecholamine levels; plasma C-reactive protein levels; and tumor necrosis factor alpha levels. At the first and last visits, all patients will complete the SF-36, the eight-item Patient Health Questionnaire depression scale (PHQ-8), the Generalized Anxiety Disorder seven-item scale (GAD-7), and a visual analog pain scale. We will also assess disease-specific variables, including heart rate recovery after exercise, plasma lipids, and myeloperoxidase in patients with coronary artery disease; the Multiple Sclerosis Functional Composite (MSFC) test and the Modified Fatigue Impact Scale (MFIS) will be administered to patients with multiple sclerosis; and plasma glucose and hemoglobin A1C will be assessed in patients with type 2 diabetes.
Results of this study will provide data on the potential of BFSM to decrease common markers of autonomic nervous system activation and inflammatory cascades and the effect of those alterations on three specific disease states. To our knowledge, such a randomized study has not been conducted previously; our findings will add significantly to the literature on the mechanism of action of biofeedback-type interventions.
POTENTIAL IMPACT ON DEPRESSION IN CARDIOVASCULAR DISEASE
Depression is increasingly recognized as a component of many cardiovascular diseases; this raises the question of what effect BFSM therapy in cardiovascular disease patients will have on their depression. Of particular importance to this discussion, heart rate variability has been shown to be decreased both in cardiovascular disease and in depression, and BFSM is one treatment that can be used to regulate heart rate variability. Heart rate variability biofeedback has been shown to be useful in treating depression.
Work from Karavidas and colleagues showed that 10 weeks of heart rate variability biofeedback in patients with depression led to significantly improved scores on the Hamilton Depression Scale and the Beck Depression Inventory. Improvement was observed by the fourth week of training, with concurrent increases in the SDNN.13 Siepmann and colleagues also used heart rate variability biofeedback in depressed subjects and demonstrated significant improvement in scores on the Beck Depression Inventory, as well as a concomitant decrease in anxiety.14 In related work, Uhlmann and Fröscher used electroencephalographic biofeedback (also called neurofeedback) in epilepsy patients with depression and measured an increased sense of self control and a decrease in external locus of control; they postulated that biofeedback training provided an important opportunity for success, and thus increased internal control and decreased depression.15
Evidence suggests that BFSM should have an impact on depression in addition to impacting the cardiovascular disease itself, and both should work together to improve quality of life. For this reason we have added a depression inventory to our randomized trial of BFSM in patients who have coronary artery disease, diabetes, or multiple sclerosis.
- McKee MG. Biofeedback: an overview in the context of heart-brain medicine. Cleve Clin J Med 2008; 75(suppl 2):S31–S34.
- Frank DL, Khorshid L, Kiffer JF, Moravec CS, McKee MG. Biofeedback in medicine: who, when, why and how? Ment Health Fam Med 2010; 7:85–91.
- Moravec CS. Biofeedback therapy in cardiovascular disease: rationale and research overview. Cleve Clin J Med 2008; 75(suppl 2):S35–S38.
- McKee MG, Moravec CS. Biofeedback in the treatment of heart failure. Cleve Clin J Med 2010; 77(supp 3): S56–S59.
- Emani S, Binkley PF. Mind-body medicine in chronic heart failure: a translational science challenge. Circ Heart Fail 2010; 3:715–725.
- Ogletree-Hughes ML, Stull LB, Sweet WE, Smedira NG, McCarthy PM, Moravec CS. Mechanical unloading restores beta-adrenergic responsiveness and reverses receptor downregulation in the failing human heart. Circulation 2001; 104:881–886.
- Ogletree ML, Sweet WE, Talerico C, et al. Duration of left ventricular assist device support: effects on abnormal calcium cycling and functional recovery in the failing human heart. J Heart Lung Transplant 2010; 29:554–561.
- Moser DK, Dracup K, Woo MA, Stevenson LW. Voluntary control of vascular tone by using skin-temperature biofeedback-relaxation in patients with advanced heart failure. Altern Ther Health Med 1997; 3:51–59.
- Bernardi L, Porta C, Spicuzza L, et al. Slow breathing increases arterial baroreflex sensitivity in patients with chronic heart failure. Circulation 2002; 105:143–145.
- Swanson KS, Gevirtz RN, Brown M, Spira J, Guarneri E, Stoletniy L. The effect of biofeedback on function in patients with heart failure. Appl Psychophysiol Biofeedback 2009; 34:71–91.
- Tracey KJ. The inflammatory reflex. Nature 2002; 420:853–859.
- Tracey KJ. Reflex control of immunity. Nat Rev Immunol 2009; 9:418–428.
- Karavidas MK, Lehrer PM, Vaschillo E, et al. Preliminary results of an open label study of heart rate variability biofeedback for the treatment of major depression. Appl Psychophysiol Biofeedback 2007; 32:19–30.
- Siepmann M, Aykac V, Unterdörfer J, Petrowski K, Mueck-Weymann M. A pilot study on the effects of heart rate variability biofeedback in patients with depression and in healthy subjects. Appl Psychophysiol Biofeedback 2008; 33:195–201.
- Uhlmann C, Fröscher W. Biofeedback treatment in patients with refractory epilepsy: changes in depression and control orientation. Seizure 2001; 10:34–38.
- McKee MG. Biofeedback: an overview in the context of heart-brain medicine. Cleve Clin J Med 2008; 75(suppl 2):S31–S34.
- Frank DL, Khorshid L, Kiffer JF, Moravec CS, McKee MG. Biofeedback in medicine: who, when, why and how? Ment Health Fam Med 2010; 7:85–91.
- Moravec CS. Biofeedback therapy in cardiovascular disease: rationale and research overview. Cleve Clin J Med 2008; 75(suppl 2):S35–S38.
- McKee MG, Moravec CS. Biofeedback in the treatment of heart failure. Cleve Clin J Med 2010; 77(supp 3): S56–S59.
- Emani S, Binkley PF. Mind-body medicine in chronic heart failure: a translational science challenge. Circ Heart Fail 2010; 3:715–725.
- Ogletree-Hughes ML, Stull LB, Sweet WE, Smedira NG, McCarthy PM, Moravec CS. Mechanical unloading restores beta-adrenergic responsiveness and reverses receptor downregulation in the failing human heart. Circulation 2001; 104:881–886.
- Ogletree ML, Sweet WE, Talerico C, et al. Duration of left ventricular assist device support: effects on abnormal calcium cycling and functional recovery in the failing human heart. J Heart Lung Transplant 2010; 29:554–561.
- Moser DK, Dracup K, Woo MA, Stevenson LW. Voluntary control of vascular tone by using skin-temperature biofeedback-relaxation in patients with advanced heart failure. Altern Ther Health Med 1997; 3:51–59.
- Bernardi L, Porta C, Spicuzza L, et al. Slow breathing increases arterial baroreflex sensitivity in patients with chronic heart failure. Circulation 2002; 105:143–145.
- Swanson KS, Gevirtz RN, Brown M, Spira J, Guarneri E, Stoletniy L. The effect of biofeedback on function in patients with heart failure. Appl Psychophysiol Biofeedback 2009; 34:71–91.
- Tracey KJ. The inflammatory reflex. Nature 2002; 420:853–859.
- Tracey KJ. Reflex control of immunity. Nat Rev Immunol 2009; 9:418–428.
- Karavidas MK, Lehrer PM, Vaschillo E, et al. Preliminary results of an open label study of heart rate variability biofeedback for the treatment of major depression. Appl Psychophysiol Biofeedback 2007; 32:19–30.
- Siepmann M, Aykac V, Unterdörfer J, Petrowski K, Mueck-Weymann M. A pilot study on the effects of heart rate variability biofeedback in patients with depression and in healthy subjects. Appl Psychophysiol Biofeedback 2008; 33:195–201.
- Uhlmann C, Fröscher W. Biofeedback treatment in patients with refractory epilepsy: changes in depression and control orientation. Seizure 2001; 10:34–38.
Electrical vagus nerve stimulation for the treatment of chronic heart failure
Autonomic imbalance characterized by sustained sympathetic overdrive and by parasympathetic withdrawal is a key maladaptation of the heart failure (HF) state. This autonomic dysregulation has long been recognized as a mediator of increased mortality and morbidity in myocardial infarction and HF.1,2 Sympathovagal imbalance in HF can lead to increased heart rate, excess release of proinflammatory cytokines, dysregulation of nitric oxide (NO) pathways, and arrythmogenesis. Diminished vagal activity reflected in increased heart rate is a predictor of high mortality in HF.3,4 Sustained increase of sympathetic activity contributes to progressive left ventricular (LV) dysfunction in HF and promotes progressive LV remodeling.5,6 Pharmacologic agents that reduce heart rate, such as beta-blockers and, more recently, specific and selective inhibitors of the cardiac pacemaker current If, have been shown to improve survival and prevent or attenuate progressive LV remodeling in animals with HF.4,5,7,8
During the past two to three decades, the emphasis on modulation of neurohumoral activition for treatment of chronic HF gave rise to angiotensin-converting enzyme inhibitors, beta-adrenergic receptor blockers, and aldosterone antagonists. In recent years, renewed interest has emerged in modulating parasympathetic or vagal activity as a therapeutic target for treating chronic HF. An alteration in cardiac vagal efferent activity through peripheral cardiac nerve stimulation can produce bradycardia and can modify atrial as well as ventricular contractile function.9,10
Electrical vagus nerve stimulation (VNS) was shown to prevent sudden cardiac death in dogs with myocardial infarction and to improve long-term survival in rats with chronic HF.11,12 VNS has also been shown to suppress arrhythmias in conscious rats with chronic HF secondary to myocardial infarction.13
This article focuses primarily on the effects of chronic VNS on LV dysfunction and remodeling in dogs with HF produced by multiple sequential intracoronary microembolizations14 or by high-rate ventricular pacing15 and on the safety, feasibility, and efficacy trends of VNS in patients with advanced HF.16
VNS IN DOGS WITH MICROEMBOLIZATION-INDUCED HEART FAILURE
Monotherapy with VNS
Long-term VNS therapy also elicited improvements in indices of LV diastolic function. VNS significantly decreased LV end-diastolic pressure (Table 1), increased deceleration time of rapid mitral inflow velocity, tended to increase the ratio of peak mitral inflow velocity during early LV filling to peak mitral inflow velocity during left atrial contraction (PE/PA), and significantly reduced LV end-diastolic circumferential wall stress, a determinant of myocardial oxygen consumption (Table 1). These measures suggest that VNS can reduce preload, improve LV relaxation and improve LV function without increasing myocardial oxygen consumption.
VNS in combination with beta-blockade
The effects of VNS in combination with beta-blockade were examined in dogs with HF. Dogs with LV ejection fraction of approximately 35% were randomized to 3 months of therapy with a beta-blocker alone (metoprolol succinate, 100 mg once daily, n = 6) or to metoprolol (100 mg once daily) combined with active VNS with CardioFit (n = 6). As with the monotherapy study, the CardioFit VNS system was operated in the feedback on-demand heart rate responsive mode. Dogs were started on oral metoprolol therapy 2 weeks prior to randomization to VNS therapy. After randomization, all dogs continued to receive metoprolol succinate once daily for the duration of the study.18
The improvements in LV systolic and diastolic function with combination therapy were associated with important changes in heart rate. Twenty-four–hour ambulatory ECG Holter monitoring studies showed no differences in minimum and average heart rate between dogs treated with metoprolol and those treated with combination therapy with VNS. Maximum heart rate, however, was significantly lower in dogs treated with the combination therapy (114 ± 12 vs 149 ± 8 beats/min, P < .05). These observations suggest that preventing heart rate escape at the high end may further improve LV systolic function compared with beta-blockade alone. This added benefit of the combination of VNS and beta-blockade was likely the result of reducing the adverse impact of increased cardiac workload and increased myocardial oxygen consumption elicited by the heart rate increase.
VNS and left ventricular remodeling
VNS and proinflammatory cytokines, nitric oxide, and gap junction proteins
Nitric oxide (NO) is formed by a family of NO synthases (NOS). The three isoforms of NOS identified to date are endothelin NOS (eNOS), inducible NOS (iNOS), and neuronal NOS (nNOS). The three isoforms have differing characteristics and roles:
eNOS. NO produced by eNOS plays an important role in the regulation of cell growth and apoptosis22 and can enhance myocardial relaxation and regulate contractility.22,23
iNOS. Overexpression of iNOS in cardiomyocytes in mice results in peroxynitrite generation associated with fibrosis, LV hypertrophy, chamber dilation, cardiomyopathic phenotype, heart block, and sudden cardiac death.24
nNOS. nNOS has been shown to be upregulated in the human failing heart and in rats following myocardial infarction.25 In rats with HF, inhibition of nNOS leads to increased sensitivity of the myocardium to beta-adrenergic stimulation,26 suggesting a role for nNOS in the autocrine regulation of myocardial contractility.26
In dogs with coronary microembolization-induced HF, mRNA and protein expression of eNOS in LV myocardium is significantly downregulated compared with normal dogs; therapy with VNS significantly improves the expression of eNOS (Table 3).27 Both iNOS and nNOS are significantly upregulated, and their expression tends to be normalized by long-term VNS therapy.27
Gap junction proteins or connexins are reduced or redistributed from intercalated disks to lateral cell borders in a variety of cardiac diseases, including HF.28 This so-called “gap junction remodeling” is considered highly arrhythmogenic. In mammals, gap junctions exclusively contain connexin-43 (Cx43). Reduced expression of Cx43 occurs in the failing human heart and has been shown to result in slowed transmural conduction and dispersion of action potential duration with increased susceptibility to arrhythmia and sudden cardiac death.29,30 In dogs with coronary microembolization-induced HF, mRNA and protein expression of Cx43 in LV myocardium was shown to be markedly downregulated compared with normal dogs, and long-term therapy with VNS was associated with a significant increase in the expression of Cx43 in LV myocardium (Table 3).31
VNS IN DOGS WITH RAPID PACING–INDUCED HEART FAILURE
Electrical VNS as a potential therapy for HF was examined in dogs with HF secondary to high-rate ventricular pacing using the Cyberonics VNS system (Cyberonics Inc., Houston, TX), which does not operate on a negative feedback mechanism.15 In this study, VNS therapy was delivered continuously for the duration of the study with a duty cycle of 14 seconds on and 12 seconds off. VNS signals were delivered to the right cervical vagus nerve at a frequency of 20 Hz and a pulse width of 0.5 msec.15 Dogs were randomized to control (n = 7) or to monotherapy with VNS (n = 8) and followed for 8 weeks. All measurements were made approximately 15 minutes after temporarily turning off the ventricular pacemaker and the vagus nerve stimulator.15 VNS therapy resulted in a significant decrease in LV end-diastolic and end-systolic volumes and a significant increase in LV ejection fraction compared with controls.15 This improvement was associated with significant reduction in plasma levels of norepinephrine, angiotensin II, and C-reactive protein. The study also demonstrated the effectiveness of VNS in restoring baroreflex sensitivity, thus improving cardiac autonomic control.15 Because rapid pacing was maintained throughout the study except for short periods when measurements were made, one can argue that the benefits of VNS therapy in this model of HF are independent of heart rate.15
SAFETY AND TOLERABILITY OF VNS IN PATIENTS WITH ADVANCED HEART FAILURE
In patients with HF, reduced vagal activity is associated with increased mortality.1 Vagal withdrawal has also been shown to precede episodes of acute decompensation.32 In a recently published study, De Ferrari et al, on behalf of the CardioFit Multicenter Trial Investigators, examined the safety and tolerability of chronic VNS in 32 patients with symptomatic HF and severe LV dysfunction using the CardioFit system.16 The CardioFit system used in this study differed from that used in dogs with microembolization-induced HF in that it did not operate on a negative feedback principle. A bradycardia limit causing interruption of VNS was set at 55 beats/min. A 3-week uptitration period was used to maximize current amplitude and duty cycle based on patient sensation. The intensity of the stimulation reached 4.1 ± 1.2 mA at the end of the titration period.16
This multicenter, open-label, phase 2 trial involved 3 to 6 months of followup with an optional 1 year followup. The results suggested that VNS may be safe and tolerable in HF patients with severe LV dysfunction. Trends for efficacy were also favorable, bearing in mind the nonrandomized and unblinded nature of the study design. The study showed significant improvements in New York Heart Association HF classification, 6-minute walk test, LV ejection fraction, and LV systolic volumes.16
CONCLUSIONS
A wealth of preclinical and clinical studies supports the concept that electrical VNS can favorably modify the underlying pathophysiology and course of evolving HF. In animals with HF, VNS improves LV function, attenuates LV remodeling and may prevent arrhythmias that provoke sudden cardiac death. VNS derives these potential clinical benefits from multiple mechanisms of action that include reduced heart rate and normalization of sympathetic overdrive. VNS also appears to have a favorable impact on other signaling pathways that are likely to elicit beneficial effects in patients with HF. These include restoration of baroreflex sensitivity, suppression of proinflammatory cytokines, normalization of NO signaling pathways, and suppression of gap junction remodeling. At present, there is no evidence to implicate a single mechanism of action for the benefits derived from VNS. Instead, it is likely that all of the mechanisms listed above act in concert to elicit the global benefit seen with VNS. In humans with HF, VNS may be safe, feasible, and apparently well tolerated. Full appreciation of its efficacy in treating chronic HF must await completion of pivotal randomized clinical trials.
- Schwartz PJ, Vanoli E, Stramba-Badiale M, De Ferrari GM, Billman GE, Foreman RD. Autonomic mechanisms and sudden death. New insights from analysis of baroreceptor reflexes in conscious dogs with and without myocardial infarction. Circulation 1988; 78:969–979.
- Mortara A, La Rovere MT, Pinna GD, et al. Arterial baroreflex modulation of heart rate in chronic heart failure: clinical and hemodynamic correlates and prognostic implications. Circulation 1997; 96:3450–3458.
- La Rovere MT, Bigger JT Jr, Marcus FI, Mortara A, Schwartz PJ. Baroreflex sensitivity and heart-rate variability in prediction of total cardiac mortality after myocardial infarction. ATRAMI (Autonomic Tone and Reflexes After Myocardial Infarction) investigators. Lancet. 1998; 351:478–484.
- Lechat P, Hulot JS, Escolano S, et al. Heart rate and cardiac rhythm relationships with bisoprolol benefit in chronic heart failure in CIBIS II trial. Circulation 2001; 103:1428–1433.
- Sabbah HN, Shimoyama H, Kono T, et al. Effects of long-term monotherapy with enalapril, metoprolol and digoxin on the progression of left ventricular dysfunction and dilation in dogs with reduced ejection fraction. Circulation 1994; 89:2852–2859.
- Sabbah HN, Stanley WC, Sharov VG, et al. Effects of dopamine beta-hydroxylase inhibition with nepicastat on the progression of left ventricular dysfunction and remodeling in dogs with chronic heart failure. Circulation 2000; 102:1990–1995.
- Cheng Y, George I, Yi GH, et al. Bradycardic therapy improves left ventricular function and remodeling in dogs with coronary embolization-induced chronic heart failure. J Pharmacol Exp Ther 2007; 321:469–476.
- Swedberg K, Komajda M, Bohm M, et al, on behalf of the SHIFT Investigators. Ivabradine and outcomes in chronic heart failure (SHIFT): a randomised placebo-controlled study. Lancet 2010; 376:875–885.
- Kunze DL. Reflex discharge patterns of cardiac vagal efferent fibres. J Physiol 1972; 222:1–15.
- Harman MA, Reeves TJ. Effects of vagus nerve stimulation on atrial and ventricular function. Am J Physiol 1968; 215:1210–1217.
- Vanoli E, De Ferrari GM, Stramba-Badiale M, Hull SS Jr, Foreman RD, Schwartz PJ. Vagal stimulation and prevention of sudden death in conscious dogs with a healed myocardial infarction. Circ Res 1991; 68:1471–1481.
- Li M, Zheng C, Sato T, Kawada T, Sugimachi N, Sunagawa K. Vagal nerve stimulation markedly improves long-term survival after chronic heart failure in rats. Circulation 2004; 109:120–124.
- Zheng C, Li M, Inagaki M, Kawada T, Sunagawa K, Sugimachi M. Vagal stimulation markedly suppresses arrhythmias in conscious rats with chronic heart failure after myocardial infarction. Conf Proc IEEE Eng Med Biol Soc 2005; 7:7072–7075.
- Sabbah HN, Stein PD, Kono T, et al. A canine model of chronic heart failure produced by multiple sequential coronary microembolizations. Am J Physiol 1991; 260:H1379–H1384.
- Zhang Y, Popovic ZB, Bibevski S, et al. Chronic vagus nerve stimulation improves autonomic control and attenuates systemic inflammation and heart failure progression in a canine high-rate pacing model. Circ Heart Fail 2009; 2:692–699.
- De Ferrari GM, Crijns HJ, Borggrefe M, et al, on behalf of CardioFit Multicenter Trial Investigators. Chronic vagus nerve stimulation: a new and promising therapeutic approach for chronic heart failure. Eur Heart J 2011; 32:847–855.
- Sabbah HN, Rastogi S, Mishra S, et al. Long-term therapy with neuroselective electric vagus nerve stimulation improves LV function and attenuates global LV remodelling in dogs with chronic heart failure. Eur J Heart Fail Supplements 2005; 4(suppl):166–167. Abstract 744.
- Sabbah HN, Imai M, Zaretsky A, et al. Therapy with vagus nerve electrical stimulation combined with beta-blockade improves left ventricular systolic function in dogs with heart failure beyond that seen with beta-blockade alone. Eur J Heart Fail Supplements 2007; 6(suppl):114. Abstract 509.
- Liu YH, Yang XP, Sharov VG, et al. Effects of angiotensin-converting enzyme inhibitors and angiotensin ii type 1 receptor antagonists in rats with heart failure. Role of kinins and angiotensin ii type 2 receptors. J Clin Invest 1997; 99:1926–1935.
- Wang H, Yu M, Ochani M, et al. Nicotinic acetylcholine receptor alpha7 subunit is an essential regulator of inflammation. Nature 2003; 421:384–388.
- Sabbah H, Rastogi S, Mishra S, Imai M, Gupta RC. Chronic therapy with neuroselective electric vagus nerve stimulation attenuates mRNA expression of pro-inflammatory cytokines in dogs with heart failure. Eur Heart J Suppl 2005; 26(suppl 1):65.
- Feng Q, Song W, Lu X, et al. Development of heart failure and congenital septal defects in mice lacking endothelial nitric oxide synthase. Circulation 2002; 106:873–879.
- Kelly RA, Balligand JL, Smith TW. Nitric oxide and cardiac function. Circ Res 1996; 79:363–380.
- Mungrue IN, Gros R, You X, et al. Cardiomyocyte overexpression of iNOS in mice results in peroxynitrite generation, heart block, and sudden death. J Clin Invest 2002; 109:735–743.
- Damy T, Ratajczak P, Shah AM, et al. Increased neuronal nitric oxide synthase-derived NO production in the failing human heart. Lancet 2004; 363:1365–1367.
- Bendall JK, Damy T, Ratajczak P, et al. Role of myocardial neuronal nitric oxide synthase-derived nitric oxide in beta-adrenergic hyporesponsiveness after myocardial infarction-induced heart failure in rat. Circulation 2004; 110:2368–2375.
- Gupta RC, Mishra S, Rastogi S, Imai M, Zaca V, Sabbah HN. Chronic therapy with electric vagus nerve stimulation normalizes mRNA and protein expression of nitric oxide synthase in myocardium of dogs with heart failure. Eur Heart J 2006; 27:477. Abstract.
- Severs NJ, Bruce AF, Dupont E, Rothery S. Remodelling of gap junctions and connexin expression in diseased myocardium. Cardiovasc Res 2008; 80:9–19.
- Wang XJ, Gerdes AM. Chronic pressure overload cardiac hypertrophy and failure in guinea pigs: III. Intercalated disc remodeling. J Mol Cell Cardiol 1999; 31:333–343.
- Ai X, Pogwizd M. Connexin 43 downregulation and dephosphorylation in nonischemic heart failure is associated with enhanced colocalized protein phosphatase type 2A. Circ Res 2005; 96:54–63.
- Rastogi S, Mishra S, Ilsar I, Zaretsky A, Sabbah HN. Chronic therapy with electric vagus nerve stimulation normalizes mRNA and protein expression of connexin-40, -43 and -45 in left ventricular myocardium of dogs with heart failure. Circulation 2007; 116:II_218. Abstract 1089.
- Adamson PB, Smith AL, Abraham WT, et al. Continuous autonomic assessment in patients with symptomatic heart failure: prognostic value of heart rate variability measured by an implanted cardiac resynchronization device. Circulation 2004; 110:2389–2394.
- Sabbah HN, Ilsar I, Zaretsky A, Rastogi S, Wang M, Gupta RC. Vagus nerve stimulation in experimental heart failure. Heart Fail Rev 2011; 16:171–178.
- Schwartz PJ, Vanoli E, Stramba-Badiale M, De Ferrari GM, Billman GE, Foreman RD. Autonomic mechanisms and sudden death. New insights from analysis of baroreceptor reflexes in conscious dogs with and without myocardial infarction. Circulation 1988; 78:969–979.
- Mortara A, La Rovere MT, Pinna GD, et al Arterial baroreflex modulation of heart rate in chronic heart failure: clinical and hemodynamic correlates and prognostic implications. Circulation 1997; 96:3450–3458.
- La Rovere MT, Bigger JT, Marcus FI, Mortara A, Schwartz PJ. Baroreflex sensitivity and heart-rate variability in prediction of total cardiac mortality after myocardial infarction. ATRAMI (Autonomic Tone and Reflexes After Myocardial Infarction) investigators. Lancet. 1998; 351:478–484.
- Lechat P, Hulot JS, Escolano S, et al Heart rate and cardiac rhythm relationships with bisoprolol benefit in chronic heart failure in CIBIS II trial. Circulation 2001; 103:1428–1433.
- Sabbah HN, Shimoyama H, Kono T, et al Effects of long-term monotherapy with enalapril, metoprolol and digoxin on the progression of left ventricular dysfunction and dilation in dogs with reduced ejection fraction. Circulation 1994; 89:2852–2859.
- Sabbah HN, Stanley WC, Sharov VG, et al Effects of dopamine β-hydroxylase inhibition with nepicastat on the progression of left ventricular dysfunction and remodeling in dogs with chronic heart failure. Circulation 2000; 102:1990–1995.
- Cheng Y, George I, Yi GH, et al Bradycardic therapy improves left ventricular function and remodeling in dogs with coronary embolization-induced chronic heart failure. J Pharmacol Exp Ther 2007; 321:469–476.
- Swedberg K, Komajda M, Bohm M, et al., on behalf of the SHIFT Investigators. Ivabradine and outcomes in chronic heart failure (SHIFT): a randomised placebo-controlled study. Lancet 2010; 376:875–885.
- Kunze DL. Reflex discharge patterns of cardiac vagal efferent fibres. J Physiol 1972; 222:1–15.
- Harman MA, Reeves TJ. Effects of vagus nerve stimulation on atrial and ventricular function. Am J Physiol 1968; 215:1210–1217.
- Vanoli E, De Ferrari GM, Stramba-Badiale M, Hull SS, Foreman RD, Schwartz PJ. Vagal stimulation and prevention of sudden death in conscious dogs with a healed myocardial infarction. Circ Res 1991; 68:1471–1481.
- Li M, Zheng C, Sato T, Kawada T, Sugimachi N, Sunagawa K. Vagal nerve stimulation markedly improves long-term survival after chronic heart failure in rats. Circulation 2004; 109:120–124.
- Zheng C, Li M, Inagaki M, Kawada T, Sunagawa K, Sugimachi M. Vagal stimulation markedly suppresses arrhythmias in conscious rats with chronic heart failure after myocardial infarction. Conf Proc IEEE Eng Med Biol Soc 2005; 7:7072–7075.
- Sabbah HN, Stein PD, Kono T, et al A canine model of chronic heart failure produced by multiple sequential coronary microembolizations. Am J Physiol 1991; 260:H1379–H1384.
- Zhang Y, Popovic ZB, Bibevski S, et al Chronic vagus nerve stimulation improves autonomic control and attenuates systemic inflammation and heart failure progression in a canine high-rate pacing model. Circ Heart Fail 2009; 2:692–699.
- De Ferrari GM, Crijns HJ, Borggrefe M, et al., on behalf of CardioFit Multicenter Trial Investigators. Chronic vagus nerve stimulation: a new and promising therapeutic approach for chronic heart failure. Eur Heart J 2011; 32:847–855.
- Sabbah HN, Rastogi S, Mishra S, et al Long-term therapy with neuroselective electric vagus nerve stimulation improves LV function and attenuates global LV remodelling in dogs with chronic heart failure. Eur J Heart Fail Supplements 2005; 4( suppl):166–167. Abstract 744.
- Sabbah HN, Imai M, Zaretsky A, et al Therapy with vagus nerve electrical stimulation combined with beta-blockade improves left ventricular systolic function in dogs with heart failure beyond that seen with beta-blockade alone. Eur J Heart Fail Supplements 2007; 6( suppl):114. Abstract 509.
- Liu YH, Yang XP, Sharov VG, et al Effects of angiotensin-converting enzyme inhibitors and angiotensin II type 1 receptor antagonists in rats with heart failure. Role of kinins and angiotensin II type 2 receptors. J Clin Invest 1997; 99:1926–1935.
- Wang H, Yu M, Ochani M, et al Nicotinic acetylcholine receptor alpha7 subunit is an essential regulator of inflammation. Nature 2003; 421:384–388.
- Sabbah H, Rastogi S, Mishra S, Imai M, Gupta RC. Chronic therapy with neuroselective electric vagus nerve stimulation attenuates mRNA expression of pro-inflammatory cytokines in dogs with heart failure. Eur Heart J Suppl 2005; 26( suppl 1):65.
- Feng Q, Song W, Lu X, et al Development of heart failure and congenital septal defects in mice lacking endothelial nitric oxide synthase. Circulation 2002; 106:873–879.
- Kelly RA, Balligand JL, Smith TW. Nitric oxide and cardiac function. Circ Res 1996; 79:363–380.
- Mungrue IN, Gros R, You X, et al Cardiomyocyte overexpression of iNOS in mice results in peroxynitrite generation, heart block, and sudden death. J Clin Invest 2002; 109:735–743.
- Damy T, Ratajczak P, Shah AM, et al Increased neuronal nitric oxide synthase-derived NO production in the failing human heart. Lancet 2004; 363:1365–1367.
- Bendall JK, Damy T, Ratajczak P, et al Role of myocardial neuronal nitric oxide synthase-derived nitric oxide in β-adrenergic hyporesponsiveness after myocardial infarction-induced heart failure in rat. Circulation 2004; 110:2368–2375.
- Gupta RC, Mishra S, Rastogi S, Imai M, Zaca V, Sabbah HN. Chronic therapy with electric vagus nerve stimulation normalizes mRNA and protein expression of nitric oxide synthase in myocardium of dogs with heart failure. Eur Heart J 2006; 27:477. Abstract.
- Severs NJ, Bruce AF, Dupont E, Rothery S. Remodelling of gap junctions and connexin expression in diseased myocardium. Cardio vasc Res 2008; 80:9–19.
- Wang XJ, Gerdes AM. Chronic pressure overload cardiac hypertrophy and failure in guinea pigs: III. Intercalated disc remodeling. J Mol Cell Cardiol 1999; 31:333–343.
- Ai X, Pogwizd M. Connexin 43 downregulation and dephosphorylation in nonischemic heart failure is associated with enhanced colocalized protein phosphatase type 2A. Circ Res 2005; 96:54–63.
- Rastogi S, Mishra S, Ilsar I, Zaretsky A, Sabbah HN. Chronic therapy with electric vagus nerve stimulation normalizes mRNA and protein expression of connexin-40, -43 and -45 in left ventricular myocardium of dogs with heart failure. Circulation 2007; 116:II_218. Abstract 1089.
- Adamson PB, Smith AL, Abraham WT, et al Continuous autonomic assessment in patients with symptomatic heart failure: prognostic value of heart rate variability measured by an implanted cardiac resynchronization device. Circulation 2004; 110:2389–2394.
- Sabbah HN, Ilsar I, Zaretsky A, Rastogi S, Wang M, Gupta RC. Vagus nerve stimulation in experimental heart failure. Heart Fail Rev 2011; 16:171–178.
Autonomic imbalance characterized by sustained sympathetic overdrive and by parasympathetic withdrawal is a key maladaptation of the heart failure (HF) state. This autonomic dysregulation has long been recognized as a mediator of increased mortality and morbidity in myocardial infarction and HF.1,2 Sympathovagal imbalance in HF can lead to increased heart rate, excess release of proinflammatory cytokines, dysregulation of nitric oxide (NO) pathways, and arrythmogenesis. Diminished vagal activity reflected in increased heart rate is a predictor of high mortality in HF.3,4 Sustained increase of sympathetic activity contributes to progressive left ventricular (LV) dysfunction in HF and promotes progressive LV remodeling.5,6 Pharmacologic agents that reduce heart rate, such as beta-blockers and, more recently, specific and selective inhibitors of the cardiac pacemaker current If, have been shown to improve survival and prevent or attenuate progressive LV remodeling in animals with HF.4,5,7,8
During the past two to three decades, the emphasis on modulation of neurohumoral activition for treatment of chronic HF gave rise to angiotensin-converting enzyme inhibitors, beta-adrenergic receptor blockers, and aldosterone antagonists. In recent years, renewed interest has emerged in modulating parasympathetic or vagal activity as a therapeutic target for treating chronic HF. An alteration in cardiac vagal efferent activity through peripheral cardiac nerve stimulation can produce bradycardia and can modify atrial as well as ventricular contractile function.9,10
Electrical vagus nerve stimulation (VNS) was shown to prevent sudden cardiac death in dogs with myocardial infarction and to improve long-term survival in rats with chronic HF.11,12 VNS has also been shown to suppress arrhythmias in conscious rats with chronic HF secondary to myocardial infarction.13
This article focuses primarily on the effects of chronic VNS on LV dysfunction and remodeling in dogs with HF produced by multiple sequential intracoronary microembolizations14 or by high-rate ventricular pacing15 and on the safety, feasibility, and efficacy trends of VNS in patients with advanced HF.16
VNS IN DOGS WITH MICROEMBOLIZATION-INDUCED HEART FAILURE
Monotherapy with VNS
Long-term VNS therapy also elicited improvements in indices of LV diastolic function. VNS significantly decreased LV end-diastolic pressure (Table 1), increased deceleration time of rapid mitral inflow velocity, tended to increase the ratio of peak mitral inflow velocity during early LV filling to peak mitral inflow velocity during left atrial contraction (PE/PA), and significantly reduced LV end-diastolic circumferential wall stress, a determinant of myocardial oxygen consumption (Table 1). These measures suggest that VNS can reduce preload, improve LV relaxation and improve LV function without increasing myocardial oxygen consumption.
VNS in combination with beta-blockade
The effects of VNS in combination with beta-blockade were examined in dogs with HF. Dogs with LV ejection fraction of approximately 35% were randomized to 3 months of therapy with a beta-blocker alone (metoprolol succinate, 100 mg once daily, n = 6) or to metoprolol (100 mg once daily) combined with active VNS with CardioFit (n = 6). As with the monotherapy study, the CardioFit VNS system was operated in the feedback on-demand heart rate responsive mode. Dogs were started on oral metoprolol therapy 2 weeks prior to randomization to VNS therapy. After randomization, all dogs continued to receive metoprolol succinate once daily for the duration of the study.18
The improvements in LV systolic and diastolic function with combination therapy were associated with important changes in heart rate. Twenty-four–hour ambulatory ECG Holter monitoring studies showed no differences in minimum and average heart rate between dogs treated with metoprolol and those treated with combination therapy with VNS. Maximum heart rate, however, was significantly lower in dogs treated with the combination therapy (114 ± 12 vs 149 ± 8 beats/min, P < .05). These observations suggest that preventing heart rate escape at the high end may further improve LV systolic function compared with beta-blockade alone. This added benefit of the combination of VNS and beta-blockade was likely the result of reducing the adverse impact of increased cardiac workload and increased myocardial oxygen consumption elicited by the heart rate increase.
VNS and left ventricular remodeling
VNS and proinflammatory cytokines, nitric oxide, and gap junction proteins
Nitric oxide (NO) is formed by a family of NO synthases (NOS). The three isoforms of NOS identified to date are endothelin NOS (eNOS), inducible NOS (iNOS), and neuronal NOS (nNOS). The three isoforms have differing characteristics and roles:
eNOS. NO produced by eNOS plays an important role in the regulation of cell growth and apoptosis22 and can enhance myocardial relaxation and regulate contractility.22,23
iNOS. Overexpression of iNOS in cardiomyocytes in mice results in peroxynitrite generation associated with fibrosis, LV hypertrophy, chamber dilation, cardiomyopathic phenotype, heart block, and sudden cardiac death.24
nNOS. nNOS has been shown to be upregulated in the human failing heart and in rats following myocardial infarction.25 In rats with HF, inhibition of nNOS leads to increased sensitivity of the myocardium to beta-adrenergic stimulation,26 suggesting a role for nNOS in the autocrine regulation of myocardial contractility.26
In dogs with coronary microembolization-induced HF, mRNA and protein expression of eNOS in LV myocardium is significantly downregulated compared with normal dogs; therapy with VNS significantly improves the expression of eNOS (Table 3).27 Both iNOS and nNOS are significantly upregulated, and their expression tends to be normalized by long-term VNS therapy.27
Gap junction proteins or connexins are reduced or redistributed from intercalated disks to lateral cell borders in a variety of cardiac diseases, including HF.28 This so-called “gap junction remodeling” is considered highly arrhythmogenic. In mammals, gap junctions exclusively contain connexin-43 (Cx43). Reduced expression of Cx43 occurs in the failing human heart and has been shown to result in slowed transmural conduction and dispersion of action potential duration with increased susceptibility to arrhythmia and sudden cardiac death.29,30 In dogs with coronary microembolization-induced HF, mRNA and protein expression of Cx43 in LV myocardium was shown to be markedly downregulated compared with normal dogs, and long-term therapy with VNS was associated with a significant increase in the expression of Cx43 in LV myocardium (Table 3).31
VNS IN DOGS WITH RAPID PACING–INDUCED HEART FAILURE
Electrical VNS as a potential therapy for HF was examined in dogs with HF secondary to high-rate ventricular pacing using the Cyberonics VNS system (Cyberonics Inc., Houston, TX), which does not operate on a negative feedback mechanism.15 In this study, VNS therapy was delivered continuously for the duration of the study with a duty cycle of 14 seconds on and 12 seconds off. VNS signals were delivered to the right cervical vagus nerve at a frequency of 20 Hz and a pulse width of 0.5 msec.15 Dogs were randomized to control (n = 7) or to monotherapy with VNS (n = 8) and followed for 8 weeks. All measurements were made approximately 15 minutes after temporarily turning off the ventricular pacemaker and the vagus nerve stimulator.15 VNS therapy resulted in a significant decrease in LV end-diastolic and end-systolic volumes and a significant increase in LV ejection fraction compared with controls.15 This improvement was associated with significant reduction in plasma levels of norepinephrine, angiotensin II, and C-reactive protein. The study also demonstrated the effectiveness of VNS in restoring baroreflex sensitivity, thus improving cardiac autonomic control.15 Because rapid pacing was maintained throughout the study except for short periods when measurements were made, one can argue that the benefits of VNS therapy in this model of HF are independent of heart rate.15
SAFETY AND TOLERABILITY OF VNS IN PATIENTS WITH ADVANCED HEART FAILURE
In patients with HF, reduced vagal activity is associated with increased mortality.1 Vagal withdrawal has also been shown to precede episodes of acute decompensation.32 In a recently published study, De Ferrari et al, on behalf of the CardioFit Multicenter Trial Investigators, examined the safety and tolerability of chronic VNS in 32 patients with symptomatic HF and severe LV dysfunction using the CardioFit system.16 The CardioFit system used in this study differed from that used in dogs with microembolization-induced HF in that it did not operate on a negative feedback principle. A bradycardia limit causing interruption of VNS was set at 55 beats/min. A 3-week uptitration period was used to maximize current amplitude and duty cycle based on patient sensation. The intensity of the stimulation reached 4.1 ± 1.2 mA at the end of the titration period.16
This multicenter, open-label, phase 2 trial involved 3 to 6 months of followup with an optional 1 year followup. The results suggested that VNS may be safe and tolerable in HF patients with severe LV dysfunction. Trends for efficacy were also favorable, bearing in mind the nonrandomized and unblinded nature of the study design. The study showed significant improvements in New York Heart Association HF classification, 6-minute walk test, LV ejection fraction, and LV systolic volumes.16
CONCLUSIONS
A wealth of preclinical and clinical studies supports the concept that electrical VNS can favorably modify the underlying pathophysiology and course of evolving HF. In animals with HF, VNS improves LV function, attenuates LV remodeling and may prevent arrhythmias that provoke sudden cardiac death. VNS derives these potential clinical benefits from multiple mechanisms of action that include reduced heart rate and normalization of sympathetic overdrive. VNS also appears to have a favorable impact on other signaling pathways that are likely to elicit beneficial effects in patients with HF. These include restoration of baroreflex sensitivity, suppression of proinflammatory cytokines, normalization of NO signaling pathways, and suppression of gap junction remodeling. At present, there is no evidence to implicate a single mechanism of action for the benefits derived from VNS. Instead, it is likely that all of the mechanisms listed above act in concert to elicit the global benefit seen with VNS. In humans with HF, VNS may be safe, feasible, and apparently well tolerated. Full appreciation of its efficacy in treating chronic HF must await completion of pivotal randomized clinical trials.
Autonomic imbalance characterized by sustained sympathetic overdrive and by parasympathetic withdrawal is a key maladaptation of the heart failure (HF) state. This autonomic dysregulation has long been recognized as a mediator of increased mortality and morbidity in myocardial infarction and HF.1,2 Sympathovagal imbalance in HF can lead to increased heart rate, excess release of proinflammatory cytokines, dysregulation of nitric oxide (NO) pathways, and arrythmogenesis. Diminished vagal activity reflected in increased heart rate is a predictor of high mortality in HF.3,4 Sustained increase of sympathetic activity contributes to progressive left ventricular (LV) dysfunction in HF and promotes progressive LV remodeling.5,6 Pharmacologic agents that reduce heart rate, such as beta-blockers and, more recently, specific and selective inhibitors of the cardiac pacemaker current If, have been shown to improve survival and prevent or attenuate progressive LV remodeling in animals with HF.4,5,7,8
During the past two to three decades, the emphasis on modulation of neurohumoral activition for treatment of chronic HF gave rise to angiotensin-converting enzyme inhibitors, beta-adrenergic receptor blockers, and aldosterone antagonists. In recent years, renewed interest has emerged in modulating parasympathetic or vagal activity as a therapeutic target for treating chronic HF. An alteration in cardiac vagal efferent activity through peripheral cardiac nerve stimulation can produce bradycardia and can modify atrial as well as ventricular contractile function.9,10
Electrical vagus nerve stimulation (VNS) was shown to prevent sudden cardiac death in dogs with myocardial infarction and to improve long-term survival in rats with chronic HF.11,12 VNS has also been shown to suppress arrhythmias in conscious rats with chronic HF secondary to myocardial infarction.13
This article focuses primarily on the effects of chronic VNS on LV dysfunction and remodeling in dogs with HF produced by multiple sequential intracoronary microembolizations14 or by high-rate ventricular pacing15 and on the safety, feasibility, and efficacy trends of VNS in patients with advanced HF.16
VNS IN DOGS WITH MICROEMBOLIZATION-INDUCED HEART FAILURE
Monotherapy with VNS
Long-term VNS therapy also elicited improvements in indices of LV diastolic function. VNS significantly decreased LV end-diastolic pressure (Table 1), increased deceleration time of rapid mitral inflow velocity, tended to increase the ratio of peak mitral inflow velocity during early LV filling to peak mitral inflow velocity during left atrial contraction (PE/PA), and significantly reduced LV end-diastolic circumferential wall stress, a determinant of myocardial oxygen consumption (Table 1). These measures suggest that VNS can reduce preload, improve LV relaxation and improve LV function without increasing myocardial oxygen consumption.
VNS in combination with beta-blockade
The effects of VNS in combination with beta-blockade were examined in dogs with HF. Dogs with LV ejection fraction of approximately 35% were randomized to 3 months of therapy with a beta-blocker alone (metoprolol succinate, 100 mg once daily, n = 6) or to metoprolol (100 mg once daily) combined with active VNS with CardioFit (n = 6). As with the monotherapy study, the CardioFit VNS system was operated in the feedback on-demand heart rate responsive mode. Dogs were started on oral metoprolol therapy 2 weeks prior to randomization to VNS therapy. After randomization, all dogs continued to receive metoprolol succinate once daily for the duration of the study.18
The improvements in LV systolic and diastolic function with combination therapy were associated with important changes in heart rate. Twenty-four–hour ambulatory ECG Holter monitoring studies showed no differences in minimum and average heart rate between dogs treated with metoprolol and those treated with combination therapy with VNS. Maximum heart rate, however, was significantly lower in dogs treated with the combination therapy (114 ± 12 vs 149 ± 8 beats/min, P < .05). These observations suggest that preventing heart rate escape at the high end may further improve LV systolic function compared with beta-blockade alone. This added benefit of the combination of VNS and beta-blockade was likely the result of reducing the adverse impact of increased cardiac workload and increased myocardial oxygen consumption elicited by the heart rate increase.
VNS and left ventricular remodeling
VNS and proinflammatory cytokines, nitric oxide, and gap junction proteins
Nitric oxide (NO) is formed by a family of NO synthases (NOS). The three isoforms of NOS identified to date are endothelin NOS (eNOS), inducible NOS (iNOS), and neuronal NOS (nNOS). The three isoforms have differing characteristics and roles:
eNOS. NO produced by eNOS plays an important role in the regulation of cell growth and apoptosis22 and can enhance myocardial relaxation and regulate contractility.22,23
iNOS. Overexpression of iNOS in cardiomyocytes in mice results in peroxynitrite generation associated with fibrosis, LV hypertrophy, chamber dilation, cardiomyopathic phenotype, heart block, and sudden cardiac death.24
nNOS. nNOS has been shown to be upregulated in the human failing heart and in rats following myocardial infarction.25 In rats with HF, inhibition of nNOS leads to increased sensitivity of the myocardium to beta-adrenergic stimulation,26 suggesting a role for nNOS in the autocrine regulation of myocardial contractility.26
In dogs with coronary microembolization-induced HF, mRNA and protein expression of eNOS in LV myocardium is significantly downregulated compared with normal dogs; therapy with VNS significantly improves the expression of eNOS (Table 3).27 Both iNOS and nNOS are significantly upregulated, and their expression tends to be normalized by long-term VNS therapy.27
Gap junction proteins or connexins are reduced or redistributed from intercalated disks to lateral cell borders in a variety of cardiac diseases, including HF.28 This so-called “gap junction remodeling” is considered highly arrhythmogenic. In mammals, gap junctions exclusively contain connexin-43 (Cx43). Reduced expression of Cx43 occurs in the failing human heart and has been shown to result in slowed transmural conduction and dispersion of action potential duration with increased susceptibility to arrhythmia and sudden cardiac death.29,30 In dogs with coronary microembolization-induced HF, mRNA and protein expression of Cx43 in LV myocardium was shown to be markedly downregulated compared with normal dogs, and long-term therapy with VNS was associated with a significant increase in the expression of Cx43 in LV myocardium (Table 3).31
VNS IN DOGS WITH RAPID PACING–INDUCED HEART FAILURE
Electrical VNS as a potential therapy for HF was examined in dogs with HF secondary to high-rate ventricular pacing using the Cyberonics VNS system (Cyberonics Inc., Houston, TX), which does not operate on a negative feedback mechanism.15 In this study, VNS therapy was delivered continuously for the duration of the study with a duty cycle of 14 seconds on and 12 seconds off. VNS signals were delivered to the right cervical vagus nerve at a frequency of 20 Hz and a pulse width of 0.5 msec.15 Dogs were randomized to control (n = 7) or to monotherapy with VNS (n = 8) and followed for 8 weeks. All measurements were made approximately 15 minutes after temporarily turning off the ventricular pacemaker and the vagus nerve stimulator.15 VNS therapy resulted in a significant decrease in LV end-diastolic and end-systolic volumes and a significant increase in LV ejection fraction compared with controls.15 This improvement was associated with significant reduction in plasma levels of norepinephrine, angiotensin II, and C-reactive protein. The study also demonstrated the effectiveness of VNS in restoring baroreflex sensitivity, thus improving cardiac autonomic control.15 Because rapid pacing was maintained throughout the study except for short periods when measurements were made, one can argue that the benefits of VNS therapy in this model of HF are independent of heart rate.15
SAFETY AND TOLERABILITY OF VNS IN PATIENTS WITH ADVANCED HEART FAILURE
In patients with HF, reduced vagal activity is associated with increased mortality.1 Vagal withdrawal has also been shown to precede episodes of acute decompensation.32 In a recently published study, De Ferrari et al, on behalf of the CardioFit Multicenter Trial Investigators, examined the safety and tolerability of chronic VNS in 32 patients with symptomatic HF and severe LV dysfunction using the CardioFit system.16 The CardioFit system used in this study differed from that used in dogs with microembolization-induced HF in that it did not operate on a negative feedback principle. A bradycardia limit causing interruption of VNS was set at 55 beats/min. A 3-week uptitration period was used to maximize current amplitude and duty cycle based on patient sensation. The intensity of the stimulation reached 4.1 ± 1.2 mA at the end of the titration period.16
This multicenter, open-label, phase 2 trial involved 3 to 6 months of followup with an optional 1 year followup. The results suggested that VNS may be safe and tolerable in HF patients with severe LV dysfunction. Trends for efficacy were also favorable, bearing in mind the nonrandomized and unblinded nature of the study design. The study showed significant improvements in New York Heart Association HF classification, 6-minute walk test, LV ejection fraction, and LV systolic volumes.16
CONCLUSIONS
A wealth of preclinical and clinical studies supports the concept that electrical VNS can favorably modify the underlying pathophysiology and course of evolving HF. In animals with HF, VNS improves LV function, attenuates LV remodeling and may prevent arrhythmias that provoke sudden cardiac death. VNS derives these potential clinical benefits from multiple mechanisms of action that include reduced heart rate and normalization of sympathetic overdrive. VNS also appears to have a favorable impact on other signaling pathways that are likely to elicit beneficial effects in patients with HF. These include restoration of baroreflex sensitivity, suppression of proinflammatory cytokines, normalization of NO signaling pathways, and suppression of gap junction remodeling. At present, there is no evidence to implicate a single mechanism of action for the benefits derived from VNS. Instead, it is likely that all of the mechanisms listed above act in concert to elicit the global benefit seen with VNS. In humans with HF, VNS may be safe, feasible, and apparently well tolerated. Full appreciation of its efficacy in treating chronic HF must await completion of pivotal randomized clinical trials.
- Schwartz PJ, Vanoli E, Stramba-Badiale M, De Ferrari GM, Billman GE, Foreman RD. Autonomic mechanisms and sudden death. New insights from analysis of baroreceptor reflexes in conscious dogs with and without myocardial infarction. Circulation 1988; 78:969–979.
- Mortara A, La Rovere MT, Pinna GD, et al. Arterial baroreflex modulation of heart rate in chronic heart failure: clinical and hemodynamic correlates and prognostic implications. Circulation 1997; 96:3450–3458.
- La Rovere MT, Bigger JT Jr, Marcus FI, Mortara A, Schwartz PJ. Baroreflex sensitivity and heart-rate variability in prediction of total cardiac mortality after myocardial infarction. ATRAMI (Autonomic Tone and Reflexes After Myocardial Infarction) investigators. Lancet. 1998; 351:478–484.
- Lechat P, Hulot JS, Escolano S, et al. Heart rate and cardiac rhythm relationships with bisoprolol benefit in chronic heart failure in CIBIS II trial. Circulation 2001; 103:1428–1433.
- Sabbah HN, Shimoyama H, Kono T, et al. Effects of long-term monotherapy with enalapril, metoprolol and digoxin on the progression of left ventricular dysfunction and dilation in dogs with reduced ejection fraction. Circulation 1994; 89:2852–2859.
- Sabbah HN, Stanley WC, Sharov VG, et al. Effects of dopamine beta-hydroxylase inhibition with nepicastat on the progression of left ventricular dysfunction and remodeling in dogs with chronic heart failure. Circulation 2000; 102:1990–1995.
- Cheng Y, George I, Yi GH, et al. Bradycardic therapy improves left ventricular function and remodeling in dogs with coronary embolization-induced chronic heart failure. J Pharmacol Exp Ther 2007; 321:469–476.
- Swedberg K, Komajda M, Bohm M, et al, on behalf of the SHIFT Investigators. Ivabradine and outcomes in chronic heart failure (SHIFT): a randomised placebo-controlled study. Lancet 2010; 376:875–885.
- Kunze DL. Reflex discharge patterns of cardiac vagal efferent fibres. J Physiol 1972; 222:1–15.
- Harman MA, Reeves TJ. Effects of vagus nerve stimulation on atrial and ventricular function. Am J Physiol 1968; 215:1210–1217.
- Vanoli E, De Ferrari GM, Stramba-Badiale M, Hull SS Jr, Foreman RD, Schwartz PJ. Vagal stimulation and prevention of sudden death in conscious dogs with a healed myocardial infarction. Circ Res 1991; 68:1471–1481.
- Li M, Zheng C, Sato T, Kawada T, Sugimachi N, Sunagawa K. Vagal nerve stimulation markedly improves long-term survival after chronic heart failure in rats. Circulation 2004; 109:120–124.
- Zheng C, Li M, Inagaki M, Kawada T, Sunagawa K, Sugimachi M. Vagal stimulation markedly suppresses arrhythmias in conscious rats with chronic heart failure after myocardial infarction. Conf Proc IEEE Eng Med Biol Soc 2005; 7:7072–7075.
- Sabbah HN, Stein PD, Kono T, et al. A canine model of chronic heart failure produced by multiple sequential coronary microembolizations. Am J Physiol 1991; 260:H1379–H1384.
- Zhang Y, Popovic ZB, Bibevski S, et al. Chronic vagus nerve stimulation improves autonomic control and attenuates systemic inflammation and heart failure progression in a canine high-rate pacing model. Circ Heart Fail 2009; 2:692–699.
- De Ferrari GM, Crijns HJ, Borggrefe M, et al, on behalf of CardioFit Multicenter Trial Investigators. Chronic vagus nerve stimulation: a new and promising therapeutic approach for chronic heart failure. Eur Heart J 2011; 32:847–855.
- Sabbah HN, Rastogi S, Mishra S, et al. Long-term therapy with neuroselective electric vagus nerve stimulation improves LV function and attenuates global LV remodelling in dogs with chronic heart failure. Eur J Heart Fail Supplements 2005; 4(suppl):166–167. Abstract 744.
- Sabbah HN, Imai M, Zaretsky A, et al. Therapy with vagus nerve electrical stimulation combined with beta-blockade improves left ventricular systolic function in dogs with heart failure beyond that seen with beta-blockade alone. Eur J Heart Fail Supplements 2007; 6(suppl):114. Abstract 509.
- Liu YH, Yang XP, Sharov VG, et al. Effects of angiotensin-converting enzyme inhibitors and angiotensin ii type 1 receptor antagonists in rats with heart failure. Role of kinins and angiotensin ii type 2 receptors. J Clin Invest 1997; 99:1926–1935.
- Wang H, Yu M, Ochani M, et al. Nicotinic acetylcholine receptor alpha7 subunit is an essential regulator of inflammation. Nature 2003; 421:384–388.
- Sabbah H, Rastogi S, Mishra S, Imai M, Gupta RC. Chronic therapy with neuroselective electric vagus nerve stimulation attenuates mRNA expression of pro-inflammatory cytokines in dogs with heart failure. Eur Heart J Suppl 2005; 26(suppl 1):65.
- Feng Q, Song W, Lu X, et al. Development of heart failure and congenital septal defects in mice lacking endothelial nitric oxide synthase. Circulation 2002; 106:873–879.
- Kelly RA, Balligand JL, Smith TW. Nitric oxide and cardiac function. Circ Res 1996; 79:363–380.
- Mungrue IN, Gros R, You X, et al. Cardiomyocyte overexpression of iNOS in mice results in peroxynitrite generation, heart block, and sudden death. J Clin Invest 2002; 109:735–743.
- Damy T, Ratajczak P, Shah AM, et al. Increased neuronal nitric oxide synthase-derived NO production in the failing human heart. Lancet 2004; 363:1365–1367.
- Bendall JK, Damy T, Ratajczak P, et al. Role of myocardial neuronal nitric oxide synthase-derived nitric oxide in beta-adrenergic hyporesponsiveness after myocardial infarction-induced heart failure in rat. Circulation 2004; 110:2368–2375.
- Gupta RC, Mishra S, Rastogi S, Imai M, Zaca V, Sabbah HN. Chronic therapy with electric vagus nerve stimulation normalizes mRNA and protein expression of nitric oxide synthase in myocardium of dogs with heart failure. Eur Heart J 2006; 27:477. Abstract.
- Severs NJ, Bruce AF, Dupont E, Rothery S. Remodelling of gap junctions and connexin expression in diseased myocardium. Cardiovasc Res 2008; 80:9–19.
- Wang XJ, Gerdes AM. Chronic pressure overload cardiac hypertrophy and failure in guinea pigs: III. Intercalated disc remodeling. J Mol Cell Cardiol 1999; 31:333–343.
- Ai X, Pogwizd M. Connexin 43 downregulation and dephosphorylation in nonischemic heart failure is associated with enhanced colocalized protein phosphatase type 2A. Circ Res 2005; 96:54–63.
- Rastogi S, Mishra S, Ilsar I, Zaretsky A, Sabbah HN. Chronic therapy with electric vagus nerve stimulation normalizes mRNA and protein expression of connexin-40, -43 and -45 in left ventricular myocardium of dogs with heart failure. Circulation 2007; 116:II_218. Abstract 1089.
- Adamson PB, Smith AL, Abraham WT, et al. Continuous autonomic assessment in patients with symptomatic heart failure: prognostic value of heart rate variability measured by an implanted cardiac resynchronization device. Circulation 2004; 110:2389–2394.
- Sabbah HN, Ilsar I, Zaretsky A, Rastogi S, Wang M, Gupta RC. Vagus nerve stimulation in experimental heart failure. Heart Fail Rev 2011; 16:171–178.
- Schwartz PJ, Vanoli E, Stramba-Badiale M, De Ferrari GM, Billman GE, Foreman RD. Autonomic mechanisms and sudden death. New insights from analysis of baroreceptor reflexes in conscious dogs with and without myocardial infarction. Circulation 1988; 78:969–979.
- Mortara A, La Rovere MT, Pinna GD, et al Arterial baroreflex modulation of heart rate in chronic heart failure: clinical and hemodynamic correlates and prognostic implications. Circulation 1997; 96:3450–3458.
- La Rovere MT, Bigger JT, Marcus FI, Mortara A, Schwartz PJ. Baroreflex sensitivity and heart-rate variability in prediction of total cardiac mortality after myocardial infarction. ATRAMI (Autonomic Tone and Reflexes After Myocardial Infarction) investigators. Lancet. 1998; 351:478–484.
- Lechat P, Hulot JS, Escolano S, et al Heart rate and cardiac rhythm relationships with bisoprolol benefit in chronic heart failure in CIBIS II trial. Circulation 2001; 103:1428–1433.
- Sabbah HN, Shimoyama H, Kono T, et al Effects of long-term monotherapy with enalapril, metoprolol and digoxin on the progression of left ventricular dysfunction and dilation in dogs with reduced ejection fraction. Circulation 1994; 89:2852–2859.
- Sabbah HN, Stanley WC, Sharov VG, et al Effects of dopamine β-hydroxylase inhibition with nepicastat on the progression of left ventricular dysfunction and remodeling in dogs with chronic heart failure. Circulation 2000; 102:1990–1995.
- Cheng Y, George I, Yi GH, et al Bradycardic therapy improves left ventricular function and remodeling in dogs with coronary embolization-induced chronic heart failure. J Pharmacol Exp Ther 2007; 321:469–476.
- Swedberg K, Komajda M, Bohm M, et al., on behalf of the SHIFT Investigators. Ivabradine and outcomes in chronic heart failure (SHIFT): a randomised placebo-controlled study. Lancet 2010; 376:875–885.
- Kunze DL. Reflex discharge patterns of cardiac vagal efferent fibres. J Physiol 1972; 222:1–15.
- Harman MA, Reeves TJ. Effects of vagus nerve stimulation on atrial and ventricular function. Am J Physiol 1968; 215:1210–1217.
- Vanoli E, De Ferrari GM, Stramba-Badiale M, Hull SS, Foreman RD, Schwartz PJ. Vagal stimulation and prevention of sudden death in conscious dogs with a healed myocardial infarction. Circ Res 1991; 68:1471–1481.
- Li M, Zheng C, Sato T, Kawada T, Sugimachi N, Sunagawa K. Vagal nerve stimulation markedly improves long-term survival after chronic heart failure in rats. Circulation 2004; 109:120–124.
- Zheng C, Li M, Inagaki M, Kawada T, Sunagawa K, Sugimachi M. Vagal stimulation markedly suppresses arrhythmias in conscious rats with chronic heart failure after myocardial infarction. Conf Proc IEEE Eng Med Biol Soc 2005; 7:7072–7075.
- Sabbah HN, Stein PD, Kono T, et al A canine model of chronic heart failure produced by multiple sequential coronary microembolizations. Am J Physiol 1991; 260:H1379–H1384.
- Zhang Y, Popovic ZB, Bibevski S, et al Chronic vagus nerve stimulation improves autonomic control and attenuates systemic inflammation and heart failure progression in a canine high-rate pacing model. Circ Heart Fail 2009; 2:692–699.
- De Ferrari GM, Crijns HJ, Borggrefe M, et al., on behalf of CardioFit Multicenter Trial Investigators. Chronic vagus nerve stimulation: a new and promising therapeutic approach for chronic heart failure. Eur Heart J 2011; 32:847–855.
- Sabbah HN, Rastogi S, Mishra S, et al Long-term therapy with neuroselective electric vagus nerve stimulation improves LV function and attenuates global LV remodelling in dogs with chronic heart failure. Eur J Heart Fail Supplements 2005; 4( suppl):166–167. Abstract 744.
- Sabbah HN, Imai M, Zaretsky A, et al Therapy with vagus nerve electrical stimulation combined with beta-blockade improves left ventricular systolic function in dogs with heart failure beyond that seen with beta-blockade alone. Eur J Heart Fail Supplements 2007; 6( suppl):114. Abstract 509.
- Liu YH, Yang XP, Sharov VG, et al Effects of angiotensin-converting enzyme inhibitors and angiotensin II type 1 receptor antagonists in rats with heart failure. Role of kinins and angiotensin II type 2 receptors. J Clin Invest 1997; 99:1926–1935.
- Wang H, Yu M, Ochani M, et al Nicotinic acetylcholine receptor alpha7 subunit is an essential regulator of inflammation. Nature 2003; 421:384–388.
- Sabbah H, Rastogi S, Mishra S, Imai M, Gupta RC. Chronic therapy with neuroselective electric vagus nerve stimulation attenuates mRNA expression of pro-inflammatory cytokines in dogs with heart failure. Eur Heart J Suppl 2005; 26( suppl 1):65.
- Feng Q, Song W, Lu X, et al Development of heart failure and congenital septal defects in mice lacking endothelial nitric oxide synthase. Circulation 2002; 106:873–879.
- Kelly RA, Balligand JL, Smith TW. Nitric oxide and cardiac function. Circ Res 1996; 79:363–380.
- Mungrue IN, Gros R, You X, et al Cardiomyocyte overexpression of iNOS in mice results in peroxynitrite generation, heart block, and sudden death. J Clin Invest 2002; 109:735–743.
- Damy T, Ratajczak P, Shah AM, et al Increased neuronal nitric oxide synthase-derived NO production in the failing human heart. Lancet 2004; 363:1365–1367.
- Bendall JK, Damy T, Ratajczak P, et al Role of myocardial neuronal nitric oxide synthase-derived nitric oxide in β-adrenergic hyporesponsiveness after myocardial infarction-induced heart failure in rat. Circulation 2004; 110:2368–2375.
- Gupta RC, Mishra S, Rastogi S, Imai M, Zaca V, Sabbah HN. Chronic therapy with electric vagus nerve stimulation normalizes mRNA and protein expression of nitric oxide synthase in myocardium of dogs with heart failure. Eur Heart J 2006; 27:477. Abstract.
- Severs NJ, Bruce AF, Dupont E, Rothery S. Remodelling of gap junctions and connexin expression in diseased myocardium. Cardio vasc Res 2008; 80:9–19.
- Wang XJ, Gerdes AM. Chronic pressure overload cardiac hypertrophy and failure in guinea pigs: III. Intercalated disc remodeling. J Mol Cell Cardiol 1999; 31:333–343.
- Ai X, Pogwizd M. Connexin 43 downregulation and dephosphorylation in nonischemic heart failure is associated with enhanced colocalized protein phosphatase type 2A. Circ Res 2005; 96:54–63.
- Rastogi S, Mishra S, Ilsar I, Zaretsky A, Sabbah HN. Chronic therapy with electric vagus nerve stimulation normalizes mRNA and protein expression of connexin-40, -43 and -45 in left ventricular myocardium of dogs with heart failure. Circulation 2007; 116:II_218. Abstract 1089.
- Adamson PB, Smith AL, Abraham WT, et al Continuous autonomic assessment in patients with symptomatic heart failure: prognostic value of heart rate variability measured by an implanted cardiac resynchronization device. Circulation 2004; 110:2389–2394.
- Sabbah HN, Ilsar I, Zaretsky A, Rastogi S, Wang M, Gupta RC. Vagus nerve stimulation in experimental heart failure. Heart Fail Rev 2011; 16:171–178.
- Schwartz PJ, Vanoli E, Stramba-Badiale M, De Ferrari GM, Billman GE, Foreman RD. Autonomic mechanisms and sudden death. New insights from analysis of baroreceptor reflexes in conscious dogs with and without myocardial infarction. Circulation 1988; 78:969–979.
- Mortara A, La Rovere MT, Pinna GD, et al. Arterial baroreflex modulation of heart rate in chronic heart failure: clinical and hemodynamic correlates and prognostic implications. Circulation 1997; 96:3450–3458.
- La Rovere MT, Bigger JT Jr, Marcus FI, Mortara A, Schwartz PJ. Baroreflex sensitivity and heart-rate variability in prediction of total cardiac mortality after myocardial infarction. ATRAMI (Autonomic Tone and Reflexes After Myocardial Infarction) investigators. Lancet. 1998; 351:478–484.
- Lechat P, Hulot JS, Escolano S, et al. Heart rate and cardiac rhythm relationships with bisoprolol benefit in chronic heart failure in CIBIS II trial. Circulation 2001; 103:1428–1433.
- Sabbah HN, Shimoyama H, Kono T, et al. Effects of long-term monotherapy with enalapril, metoprolol and digoxin on the progression of left ventricular dysfunction and dilation in dogs with reduced ejection fraction. Circulation 1994; 89:2852–2859.
- Sabbah HN, Stanley WC, Sharov VG, et al. Effects of dopamine beta-hydroxylase inhibition with nepicastat on the progression of left ventricular dysfunction and remodeling in dogs with chronic heart failure. Circulation 2000; 102:1990–1995.
- Cheng Y, George I, Yi GH, et al. Bradycardic therapy improves left ventricular function and remodeling in dogs with coronary embolization-induced chronic heart failure. J Pharmacol Exp Ther 2007; 321:469–476.
- Swedberg K, Komajda M, Bohm M, et al, on behalf of the SHIFT Investigators. Ivabradine and outcomes in chronic heart failure (SHIFT): a randomised placebo-controlled study. Lancet 2010; 376:875–885.
- Kunze DL. Reflex discharge patterns of cardiac vagal efferent fibres. J Physiol 1972; 222:1–15.
- Harman MA, Reeves TJ. Effects of vagus nerve stimulation on atrial and ventricular function. Am J Physiol 1968; 215:1210–1217.
- Vanoli E, De Ferrari GM, Stramba-Badiale M, Hull SS Jr, Foreman RD, Schwartz PJ. Vagal stimulation and prevention of sudden death in conscious dogs with a healed myocardial infarction. Circ Res 1991; 68:1471–1481.
- Li M, Zheng C, Sato T, Kawada T, Sugimachi N, Sunagawa K. Vagal nerve stimulation markedly improves long-term survival after chronic heart failure in rats. Circulation 2004; 109:120–124.
- Zheng C, Li M, Inagaki M, Kawada T, Sunagawa K, Sugimachi M. Vagal stimulation markedly suppresses arrhythmias in conscious rats with chronic heart failure after myocardial infarction. Conf Proc IEEE Eng Med Biol Soc 2005; 7:7072–7075.
- Sabbah HN, Stein PD, Kono T, et al. A canine model of chronic heart failure produced by multiple sequential coronary microembolizations. Am J Physiol 1991; 260:H1379–H1384.
- Zhang Y, Popovic ZB, Bibevski S, et al. Chronic vagus nerve stimulation improves autonomic control and attenuates systemic inflammation and heart failure progression in a canine high-rate pacing model. Circ Heart Fail 2009; 2:692–699.
- De Ferrari GM, Crijns HJ, Borggrefe M, et al, on behalf of CardioFit Multicenter Trial Investigators. Chronic vagus nerve stimulation: a new and promising therapeutic approach for chronic heart failure. Eur Heart J 2011; 32:847–855.
- Sabbah HN, Rastogi S, Mishra S, et al. Long-term therapy with neuroselective electric vagus nerve stimulation improves LV function and attenuates global LV remodelling in dogs with chronic heart failure. Eur J Heart Fail Supplements 2005; 4(suppl):166–167. Abstract 744.
- Sabbah HN, Imai M, Zaretsky A, et al. Therapy with vagus nerve electrical stimulation combined with beta-blockade improves left ventricular systolic function in dogs with heart failure beyond that seen with beta-blockade alone. Eur J Heart Fail Supplements 2007; 6(suppl):114. Abstract 509.
- Liu YH, Yang XP, Sharov VG, et al. Effects of angiotensin-converting enzyme inhibitors and angiotensin ii type 1 receptor antagonists in rats with heart failure. Role of kinins and angiotensin ii type 2 receptors. J Clin Invest 1997; 99:1926–1935.
- Wang H, Yu M, Ochani M, et al. Nicotinic acetylcholine receptor alpha7 subunit is an essential regulator of inflammation. Nature 2003; 421:384–388.
- Sabbah H, Rastogi S, Mishra S, Imai M, Gupta RC. Chronic therapy with neuroselective electric vagus nerve stimulation attenuates mRNA expression of pro-inflammatory cytokines in dogs with heart failure. Eur Heart J Suppl 2005; 26(suppl 1):65.
- Feng Q, Song W, Lu X, et al. Development of heart failure and congenital septal defects in mice lacking endothelial nitric oxide synthase. Circulation 2002; 106:873–879.
- Kelly RA, Balligand JL, Smith TW. Nitric oxide and cardiac function. Circ Res 1996; 79:363–380.
- Mungrue IN, Gros R, You X, et al. Cardiomyocyte overexpression of iNOS in mice results in peroxynitrite generation, heart block, and sudden death. J Clin Invest 2002; 109:735–743.
- Damy T, Ratajczak P, Shah AM, et al. Increased neuronal nitric oxide synthase-derived NO production in the failing human heart. Lancet 2004; 363:1365–1367.
- Bendall JK, Damy T, Ratajczak P, et al. Role of myocardial neuronal nitric oxide synthase-derived nitric oxide in beta-adrenergic hyporesponsiveness after myocardial infarction-induced heart failure in rat. Circulation 2004; 110:2368–2375.
- Gupta RC, Mishra S, Rastogi S, Imai M, Zaca V, Sabbah HN. Chronic therapy with electric vagus nerve stimulation normalizes mRNA and protein expression of nitric oxide synthase in myocardium of dogs with heart failure. Eur Heart J 2006; 27:477. Abstract.
- Severs NJ, Bruce AF, Dupont E, Rothery S. Remodelling of gap junctions and connexin expression in diseased myocardium. Cardiovasc Res 2008; 80:9–19.
- Wang XJ, Gerdes AM. Chronic pressure overload cardiac hypertrophy and failure in guinea pigs: III. Intercalated disc remodeling. J Mol Cell Cardiol 1999; 31:333–343.
- Ai X, Pogwizd M. Connexin 43 downregulation and dephosphorylation in nonischemic heart failure is associated with enhanced colocalized protein phosphatase type 2A. Circ Res 2005; 96:54–63.
- Rastogi S, Mishra S, Ilsar I, Zaretsky A, Sabbah HN. Chronic therapy with electric vagus nerve stimulation normalizes mRNA and protein expression of connexin-40, -43 and -45 in left ventricular myocardium of dogs with heart failure. Circulation 2007; 116:II_218. Abstract 1089.
- Adamson PB, Smith AL, Abraham WT, et al. Continuous autonomic assessment in patients with symptomatic heart failure: prognostic value of heart rate variability measured by an implanted cardiac resynchronization device. Circulation 2004; 110:2389–2394.
- Sabbah HN, Ilsar I, Zaretsky A, Rastogi S, Wang M, Gupta RC. Vagus nerve stimulation in experimental heart failure. Heart Fail Rev 2011; 16:171–178.
- Schwartz PJ, Vanoli E, Stramba-Badiale M, De Ferrari GM, Billman GE, Foreman RD. Autonomic mechanisms and sudden death. New insights from analysis of baroreceptor reflexes in conscious dogs with and without myocardial infarction. Circulation 1988; 78:969–979.
- Mortara A, La Rovere MT, Pinna GD, et al Arterial baroreflex modulation of heart rate in chronic heart failure: clinical and hemodynamic correlates and prognostic implications. Circulation 1997; 96:3450–3458.
- La Rovere MT, Bigger JT, Marcus FI, Mortara A, Schwartz PJ. Baroreflex sensitivity and heart-rate variability in prediction of total cardiac mortality after myocardial infarction. ATRAMI (Autonomic Tone and Reflexes After Myocardial Infarction) investigators. Lancet. 1998; 351:478–484.
- Lechat P, Hulot JS, Escolano S, et al Heart rate and cardiac rhythm relationships with bisoprolol benefit in chronic heart failure in CIBIS II trial. Circulation 2001; 103:1428–1433.
- Sabbah HN, Shimoyama H, Kono T, et al Effects of long-term monotherapy with enalapril, metoprolol and digoxin on the progression of left ventricular dysfunction and dilation in dogs with reduced ejection fraction. Circulation 1994; 89:2852–2859.
- Sabbah HN, Stanley WC, Sharov VG, et al Effects of dopamine β-hydroxylase inhibition with nepicastat on the progression of left ventricular dysfunction and remodeling in dogs with chronic heart failure. Circulation 2000; 102:1990–1995.
- Cheng Y, George I, Yi GH, et al Bradycardic therapy improves left ventricular function and remodeling in dogs with coronary embolization-induced chronic heart failure. J Pharmacol Exp Ther 2007; 321:469–476.
- Swedberg K, Komajda M, Bohm M, et al., on behalf of the SHIFT Investigators. Ivabradine and outcomes in chronic heart failure (SHIFT): a randomised placebo-controlled study. Lancet 2010; 376:875–885.
- Kunze DL. Reflex discharge patterns of cardiac vagal efferent fibres. J Physiol 1972; 222:1–15.
- Harman MA, Reeves TJ. Effects of vagus nerve stimulation on atrial and ventricular function. Am J Physiol 1968; 215:1210–1217.
- Vanoli E, De Ferrari GM, Stramba-Badiale M, Hull SS, Foreman RD, Schwartz PJ. Vagal stimulation and prevention of sudden death in conscious dogs with a healed myocardial infarction. Circ Res 1991; 68:1471–1481.
- Li M, Zheng C, Sato T, Kawada T, Sugimachi N, Sunagawa K. Vagal nerve stimulation markedly improves long-term survival after chronic heart failure in rats. Circulation 2004; 109:120–124.
- Zheng C, Li M, Inagaki M, Kawada T, Sunagawa K, Sugimachi M. Vagal stimulation markedly suppresses arrhythmias in conscious rats with chronic heart failure after myocardial infarction. Conf Proc IEEE Eng Med Biol Soc 2005; 7:7072–7075.
- Sabbah HN, Stein PD, Kono T, et al A canine model of chronic heart failure produced by multiple sequential coronary microembolizations. Am J Physiol 1991; 260:H1379–H1384.
- Zhang Y, Popovic ZB, Bibevski S, et al Chronic vagus nerve stimulation improves autonomic control and attenuates systemic inflammation and heart failure progression in a canine high-rate pacing model. Circ Heart Fail 2009; 2:692–699.
- De Ferrari GM, Crijns HJ, Borggrefe M, et al., on behalf of CardioFit Multicenter Trial Investigators. Chronic vagus nerve stimulation: a new and promising therapeutic approach for chronic heart failure. Eur Heart J 2011; 32:847–855.
- Sabbah HN, Rastogi S, Mishra S, et al Long-term therapy with neuroselective electric vagus nerve stimulation improves LV function and attenuates global LV remodelling in dogs with chronic heart failure. Eur J Heart Fail Supplements 2005; 4( suppl):166–167. Abstract 744.
- Sabbah HN, Imai M, Zaretsky A, et al Therapy with vagus nerve electrical stimulation combined with beta-blockade improves left ventricular systolic function in dogs with heart failure beyond that seen with beta-blockade alone. Eur J Heart Fail Supplements 2007; 6( suppl):114. Abstract 509.
- Liu YH, Yang XP, Sharov VG, et al Effects of angiotensin-converting enzyme inhibitors and angiotensin II type 1 receptor antagonists in rats with heart failure. Role of kinins and angiotensin II type 2 receptors. J Clin Invest 1997; 99:1926–1935.
- Wang H, Yu M, Ochani M, et al Nicotinic acetylcholine receptor alpha7 subunit is an essential regulator of inflammation. Nature 2003; 421:384–388.
- Sabbah H, Rastogi S, Mishra S, Imai M, Gupta RC. Chronic therapy with neuroselective electric vagus nerve stimulation attenuates mRNA expression of pro-inflammatory cytokines in dogs with heart failure. Eur Heart J Suppl 2005; 26( suppl 1):65.
- Feng Q, Song W, Lu X, et al Development of heart failure and congenital septal defects in mice lacking endothelial nitric oxide synthase. Circulation 2002; 106:873–879.
- Kelly RA, Balligand JL, Smith TW. Nitric oxide and cardiac function. Circ Res 1996; 79:363–380.
- Mungrue IN, Gros R, You X, et al Cardiomyocyte overexpression of iNOS in mice results in peroxynitrite generation, heart block, and sudden death. J Clin Invest 2002; 109:735–743.
- Damy T, Ratajczak P, Shah AM, et al Increased neuronal nitric oxide synthase-derived NO production in the failing human heart. Lancet 2004; 363:1365–1367.
- Bendall JK, Damy T, Ratajczak P, et al Role of myocardial neuronal nitric oxide synthase-derived nitric oxide in β-adrenergic hyporesponsiveness after myocardial infarction-induced heart failure in rat. Circulation 2004; 110:2368–2375.
- Gupta RC, Mishra S, Rastogi S, Imai M, Zaca V, Sabbah HN. Chronic therapy with electric vagus nerve stimulation normalizes mRNA and protein expression of nitric oxide synthase in myocardium of dogs with heart failure. Eur Heart J 2006; 27:477. Abstract.
- Severs NJ, Bruce AF, Dupont E, Rothery S. Remodelling of gap junctions and connexin expression in diseased myocardium. Cardio vasc Res 2008; 80:9–19.
- Wang XJ, Gerdes AM. Chronic pressure overload cardiac hypertrophy and failure in guinea pigs: III. Intercalated disc remodeling. J Mol Cell Cardiol 1999; 31:333–343.
- Ai X, Pogwizd M. Connexin 43 downregulation and dephosphorylation in nonischemic heart failure is associated with enhanced colocalized protein phosphatase type 2A. Circ Res 2005; 96:54–63.
- Rastogi S, Mishra S, Ilsar I, Zaretsky A, Sabbah HN. Chronic therapy with electric vagus nerve stimulation normalizes mRNA and protein expression of connexin-40, -43 and -45 in left ventricular myocardium of dogs with heart failure. Circulation 2007; 116:II_218. Abstract 1089.
- Adamson PB, Smith AL, Abraham WT, et al Continuous autonomic assessment in patients with symptomatic heart failure: prognostic value of heart rate variability measured by an implanted cardiac resynchronization device. Circulation 2004; 110:2389–2394.
- Sabbah HN, Ilsar I, Zaretsky A, Rastogi S, Wang M, Gupta RC. Vagus nerve stimulation in experimental heart failure. Heart Fail Rev 2011; 16:171–178.
Treatment of chronic inflammatory diseases with implantable medical devices*
Implantable devices are increasingly used in the treatment of diseases which have historically been targeted only with small molecule and biological therapeutic agents. In addition to well-established products such as subcutaneous insulin pumps and intra-arterial chemotherapy pumps, where the implantable device merely serves as a more efficient means of delivering the drug, there are a number of recently developed therapeutic approaches in which the implanted device itself functions to directly treat the underlying medical condition. One particularly successful example of this strategy is cardiac resynchronization using biventricular pacing devices for congestive heart failure (CHF). These devices were approved for marketing after having been proved to prolong survival in patients whose disease had progressed despite medical management.1 Implantable device products are now approved or in late-stage development for many other traditional “medical” disorders such as hypertension, obesity, diabetes, Parkinson’s disease, and glaucoma. Recent advances in understanding the interplay between the central nervous system and the immune system have made possible a feasible implantable device approach that may similarly find use in the management of rheumatoid arthritis (RA) and other chronic inflammatory diseases.2
NEUROSTIMULATION OF THE CHOLINERGIC ANTIINFLAMMATORY PATHWAY
The vagus nerve mediates an important neural reflex which senses inflammation both peripherally and in the central nervous system, and downregulates the inflammation via efferent neural outflow to the reticuloendothelial system. The efferent arm of this reflex has been termed the “cholinergic antiinflammatory pathway” (CAP). The CAP serves as a physiological regulator of inflammation by responding to environmental injury, pathogens, and other external threats with an appropriate degree of immune system activation.3 An increasing body of evidence indicates that the CAP can also be harnessed to reduce pathological inflammation. Electrical neurostimulation of the vagus nerve (NCAP) in an appropriate manner with an implantable device is emerging as a novel and potentially feasible means of treating diseases characterized by excessive and dysregulated inflammation.
Our current understanding of the CAP began with the observations of Kevin Tracey and colleagues over a decade ago. They demonstrated that systemic, hepatic, and splenic tumor necrosis factor (TNF) production as well as the physiological manifestations of endotoxemic shock in rodents were worsened by vagotomy and ameliorated by electrical stimulation of the cervical vagus nerve (VNS). Further, based on in vitro experiments they postulated that this effect was mediated directly by acetylcholine acting through specific receptors on macrophages in the reticuloendothelial system.4 It was later demonstrated that reducing the response to endotoxemia using NCAP required an intact spleen, and selective anatomical lesion experiments showed that an intact neural pathway to the spleen from the cervical vagus through the celiac ganglion and the splenic nerve was also necessary for this effect.5 Within the spleen itself, nerve fiber synaptic vesicles are found in close apposition to TNF-secreting macrophages.6 The α-7 nicotinic acetylcholine receptor, expressed on the surface of macrophages, is essential for the NCAP effect as demonstrated by antisense oligonucleotide and targeted disruption experiments.7 In the macrophage, the α-7 nicotinic acetylcholine receptor does not appear to transduce signals through ion channels, as is the case in neuronal tissue. Rather, the NCAP effect is mediated at the subcellular level by alterations in the NF-κB and JAK/STAT/SOCS pathways.8,9
When taken together, these studies show that NCAP has a dual set of immunological effects: it reduces production of systemically active cytokines by resident spleen cells and also causes circulating cells which traverse the spleen to develop an altered phenotype with reduced expression of inflammatory mediators and adhesion molecules upon trafficking to inflamed tissue.
An important characteristic of NCAP delivered by VNS is that very brief episodes of stimulation result in a remarkably prolonged biological effect. Huston et al delivered a single 30-second electrical VNS or sham treatment in rats, and then induced endotoxemia with intraperitoneal lipopolysaccharide (LPS) at varying times after VNS. Interestingly, this brief VNS stimulation reduced production of serum TNF in response to systemic LPS exposure for up to 48 hours. Similarly, after only 60 minutes of exposure to acetylcholine, cultured human macrophages are changed in phenotype such that they become refractory to in vitro LPS stimulation for up to 48 hours thereafter.15 The consistency of this phenomenon across species is corroborated by preliminary data in a canine model where 60-second VNS treatment results in reduced LPS-inducible TNF production in a whole-blood in vitro release assay for several days after the VNS (M Faltys, personal communication). A duration of biological effect lasting hours to days after periods of stimulation lasting for only seconds to minutes implies that an implantable device will probably only need to operate with very short daily duty cycles to effectively elicit an NCAP response. This will in turn greatly reduce the necessary size and complexity of the device itself, and increase its functional lifespan, with resultant reductions in overall cost of the treatment.
NEUROSTIMULATION OF THE CAP IN ANIMAL MODELS OF DISEASE
In a canine model of CHF induced by rapid ventricular pacing, inflammation and ventricular remodeling with fibrosis are typically accompanied by marked increases in serum C-reactive protein (CRP) levels. In addition to improving the physiological manifestations of CHF, VNS resulted in 60% to 80% reductions in CRP for up to 8 weeks.17 In another canine CHF model induced by repetitive microembolization, which is similarly associated with systemic and myocardial inflammation, VNS markedly reduced circulating levels of interleukin 6 and TNF for up to 12 weeks.18 Importantly, both these studies show that rapid tachyphylaxis does not appear to occur with NCAP over periods of time that are relatively chronic by the typical standards of animal models.
VAGAL NERVE STIMULATION FOR EPILEPSY AND DEPRESSION: EXPERIENCE IN HUMANS
VNS delivered using a surgically implanted cuffed cervical vagus nerve lead and pacemaker-style pulse generator device has been approved for the treatment of refractory epilepsy in the United States since the mid-1990s and has more recently been approved for treatment of depression. Over 50,000 patients have been implanted with these devices world wide since that time. The safety profile of both surgical implantation and VNS delivery in this setting is well established.19 The major tolerability problem is laryngeal and pharyngeal symptoms, such as hoarseness and dysphonia, which are present almost solely during periods of active device stimulation. The frequency and severity of these treatments decreases after receiving treatment for an extended time.20 With growing experience in VNS delivery over the first 5 years of use, it also became apparent that reducing the active stimulation duty cycle from 40% to 10%, and keeping stimulation currents at ≤ 1.5 mA results in a marked reduction in these symptoms.21 Of note, the stimulation currents necessary to evoke NCAP in animals are well below the 1.5 mA level, and as above, NCAP is effective even with very brief, once-daily periods of stimulation (ie, a duty cycle of 0.07% if given for 1 min each day). Thus it is likely that the laryngeal and pharyngeal adverse event profile of VNS will not be problematic in the setting of NCAP delivery for inflammation.
A POTENTIAL ROLE FOR THERAPEUTIC NCAP USING IMPLANTABLE DEVICES IN HUMAN INFLAMMATORY DISEASES
Autonomic nervous system activity can be measured indirectly by recording cardiac R-R interval variability and subjecting the data to power spectral analysis. Such heart rate variability (HRV) measurements are influenced by the levels of vagus nerve activity and by balance in cardiac sympathetic–parasympathetic tone. Reduced HRV is indicative of decreased vagal tone, and reductions in HRV have a strong inverse correlation with CRP levels, progression of atherosclerosis, and risk of sudden death.22,23 HRV is also reduced relative to normal subjects in patients with RA, systemic lupus erythematosus, and Sjögren syndrome, and the extent of reduction in HRV within the patient groups correlates with disease severity.24–26 Although these associations are only correlative and do not provide firm evidence of causality, they do provide additional epidemiological support for the hypothesis that driving increased vagal activity using implantable devices may have a favorable effect on inflammatory disease.
Implantable neurostimulation devices have not yet been tested in human patients with RA. However, preliminary evidence from a small study carried out in normal volunteers demonstrated that the CAP reflex can be elicited by brief mechanical stimulation of the afferent auricular branch of the vagus nerve, as shown by reduction of in vitro LPS-inducible cytokine production (T van der Poll, personal communication). Clinical testing of NCAP using implantable VNS devices will begin in the near future. The devices to be used for these initial studies will be very similar in design to those currently in use for epilepsy treatment. However, prototype versions of the device which will be used in follow-on studies are miniaturized to the point where they will be directly implantable on the vagus nerve, without the need for a pulse generator unit on the chest and will use a small self-contained battery system which can be recharged using transcutaneous radiofrequency induction. Given the long lifespan, relatively low cost, and potential for increased safety over currently available treatments, NCAP delivered using an implantable device holds great promise as a novel potential therapeutic approach for patients with RA and other inflammatory diseases.
- Bristow MR, Saxon LA, Boehmer J, et al Comparison of Medical Therapy, Pacing, and Defibrillation in Heart Failure (COMPANION) Investigators. Cardiac-resynchronization therapy with or without an implantable defibrillator in advanced chronic heart failure. N Engl J Med 2004; 350:2140–2150.
- van Maanen MA, Vervoordeldonk MJ, Tak PP. The cholinergic anti-inflammatory pathway: towards innovative treatment of rheumatoid arthritis. Nat Rev Rheumatol 2009; 5:229–232.
- Tracey KJ. Reflex control of immunity. Nat Rev Immunol 2009; 9:418–428.
- Borovikova LV, Ivanova S, Zhang M, et al Vagus nerve stimulation attenuates the systemic inflammatory response to endotoxin. Nature 2000; 405:458–462.
- Huston JM, Ochani M, Rosas-Ballina M, et al Splenectomy inactivates the cholinergic antiinflammatory pathway during lethal endotoxemia and polymicrobial sepsis. J Exp Med 2006; 203:1623–1628.
- Rosas-Ballina M, Ochani M, Parrish WR, et al Splenic nerve is required for cholinergic antiinflammtory pathway control of TNF in endotoxemia. Proc Natl Acad Sci 2008; 105:11008–11013.
- Wang H, Yu M, Ochani M, et al Nicotinic acetylcholine receptor alpha7 subunit is an essential regulator of inflammation. Nature 2003; 421:384–388.
- Wang H, Liao H, Ochani M, et al Cholinergic agonists inhibit HMGB1 release and improve survival in experimental sepsis. Nat Med 2004; 10:1216–1221.
- de Jonge WJ, van der Zanden EP, The FO, et al Stimulation of the vagus nerve attenuates macrophage activation by activating the Jak2-STAT3 signaling pathway. Nat Immunol 2005; 6:844–851.
- Huston JM, Rosas-Ballina M, Xue X, et al Cholinergic neural signals to the spleen down-regulate leukocyte trafficking via CD11b. J Immunol 2009; 183:552–559.
- O’Mahony C, van der Kleij H, Bienenstock J, et al Loss of vagal anti-inflammatory effect: in vivo visualization and adoptive transfer. Am J Physiol Regul Integr Comp Physiol 2009; 297:R1118–R1126.
- Ghia JE, Blennerhassett P, Kumar-Ondiveeran H, et al The vagus nerve: a tonic inhibitory influence associated with inflammatory bowel disease in a murine model. Gastroenterology 2006; 131:1122–1130.
- Ghia JE, Blennerhassett P, Collins SM. Vagus nerve integrity and experimental colitis. Am J Physiol Gastrointest Liver Physiol 2007; 293:G560–G567.
- Karimi K, Bienenstock J, Wang L, et al The vagus nerve modulates CD4+ T cell activity. Brain Behav Immun 2010; 24:316–323.
- Huston JM, Gallowitsch-Puerta M, Ochani M, et al Transcutaneous vagus nerve stimulation reduces serum high mobility group box 1 levels and improves survival in murine sepsis. Crit Care Med 2007; 35:2762–2768.
- Levine Y, Faltys M, Black K, et al Neurostimulation of the cholinergic anti-inflammatory pathway (NCAP) ameliorates CIA in rats. Ann Rheum Dis 2010; 69( suppl 3):191.
- Zhang Y, Popovic ZB, Bibevski S, et al Chronic vagus nerve stimulation improves autonomic control and attenuates systemic inflammation and heart failure progression in a canine high-rate pacing model. Circ Heart Fail 2009; 2:692–699.
- Gupta RC, Imai M, Jiang AJ, et al Chronic therapy with selective vagus nerve stimulation normalizes plasma concentration of tumor necrosis factor alpha, interleukin-6, and B-type natriuretic peptide in dogs with heart failure. J Am Coll Cardiol 2006; 47:77A.
- Beekwilder JP, Beems T. Overview of the clinical applications of vagus nerve stimulation. J Clin Neurophysiol 2010; 27:130–138.
- Ben-Menachem E. Vagus nerve stimulation, side effects, and longterm safety. J Clin Neurophysiol 2001; 18:415–418.
- Heck C, Helmers SL, DeGiorgio CM. Vagus nerve stimulation therapy, epilepsy, and device parameters: scientific basis and recommendations for use. Neurology 2002; 59( 6 suppl 4):S31–S37.
- Huikuri HV, Jokinen V, Syvänne M, et al Heart rate variability and progression of coronary atherosclerosis. Arterioscler Thromb Vasc Biol 1999; 19:1979–1985.
- Sajadieh A, Nielsen OW, Rasmussen V, et al Increased heart rate and reduced heart-rate variability are associated with subclinical inflammation in middle-aged and elderly subjects with no apparent heart disease. Eur Heart J 2004; 25:363–370.
- Louthrenoo W, Ruttanaumpawan P, Aramrattana A, et al Cardio vascular autonomic nervous system dysfunction in patients with rheumatoid arthritis and systemic lupus erythematosus. QJM 1999; 92:97–102.
- Evrengül H, Dursunoglu D, Cobankara V, et al Heart rate variability in patients with rheumatoid arthritis. Rheumatol Int 2004; 24:198–202.
- Stojanovich L, Milovanovich B, de Luka SR, et al Cardiovascular autonomic dysfunction in systemic lupus, rheumatoid arthritis, primary Sjögren syndrome and other autoimmune diseases. Lupus 2007; 16:181–185.
Implantable devices are increasingly used in the treatment of diseases which have historically been targeted only with small molecule and biological therapeutic agents. In addition to well-established products such as subcutaneous insulin pumps and intra-arterial chemotherapy pumps, where the implantable device merely serves as a more efficient means of delivering the drug, there are a number of recently developed therapeutic approaches in which the implanted device itself functions to directly treat the underlying medical condition. One particularly successful example of this strategy is cardiac resynchronization using biventricular pacing devices for congestive heart failure (CHF). These devices were approved for marketing after having been proved to prolong survival in patients whose disease had progressed despite medical management.1 Implantable device products are now approved or in late-stage development for many other traditional “medical” disorders such as hypertension, obesity, diabetes, Parkinson’s disease, and glaucoma. Recent advances in understanding the interplay between the central nervous system and the immune system have made possible a feasible implantable device approach that may similarly find use in the management of rheumatoid arthritis (RA) and other chronic inflammatory diseases.2
NEUROSTIMULATION OF THE CHOLINERGIC ANTIINFLAMMATORY PATHWAY
The vagus nerve mediates an important neural reflex which senses inflammation both peripherally and in the central nervous system, and downregulates the inflammation via efferent neural outflow to the reticuloendothelial system. The efferent arm of this reflex has been termed the “cholinergic antiinflammatory pathway” (CAP). The CAP serves as a physiological regulator of inflammation by responding to environmental injury, pathogens, and other external threats with an appropriate degree of immune system activation.3 An increasing body of evidence indicates that the CAP can also be harnessed to reduce pathological inflammation. Electrical neurostimulation of the vagus nerve (NCAP) in an appropriate manner with an implantable device is emerging as a novel and potentially feasible means of treating diseases characterized by excessive and dysregulated inflammation.
Our current understanding of the CAP began with the observations of Kevin Tracey and colleagues over a decade ago. They demonstrated that systemic, hepatic, and splenic tumor necrosis factor (TNF) production as well as the physiological manifestations of endotoxemic shock in rodents were worsened by vagotomy and ameliorated by electrical stimulation of the cervical vagus nerve (VNS). Further, based on in vitro experiments they postulated that this effect was mediated directly by acetylcholine acting through specific receptors on macrophages in the reticuloendothelial system.4 It was later demonstrated that reducing the response to endotoxemia using NCAP required an intact spleen, and selective anatomical lesion experiments showed that an intact neural pathway to the spleen from the cervical vagus through the celiac ganglion and the splenic nerve was also necessary for this effect.5 Within the spleen itself, nerve fiber synaptic vesicles are found in close apposition to TNF-secreting macrophages.6 The α-7 nicotinic acetylcholine receptor, expressed on the surface of macrophages, is essential for the NCAP effect as demonstrated by antisense oligonucleotide and targeted disruption experiments.7 In the macrophage, the α-7 nicotinic acetylcholine receptor does not appear to transduce signals through ion channels, as is the case in neuronal tissue. Rather, the NCAP effect is mediated at the subcellular level by alterations in the NF-κB and JAK/STAT/SOCS pathways.8,9
When taken together, these studies show that NCAP has a dual set of immunological effects: it reduces production of systemically active cytokines by resident spleen cells and also causes circulating cells which traverse the spleen to develop an altered phenotype with reduced expression of inflammatory mediators and adhesion molecules upon trafficking to inflamed tissue.
An important characteristic of NCAP delivered by VNS is that very brief episodes of stimulation result in a remarkably prolonged biological effect. Huston et al delivered a single 30-second electrical VNS or sham treatment in rats, and then induced endotoxemia with intraperitoneal lipopolysaccharide (LPS) at varying times after VNS. Interestingly, this brief VNS stimulation reduced production of serum TNF in response to systemic LPS exposure for up to 48 hours. Similarly, after only 60 minutes of exposure to acetylcholine, cultured human macrophages are changed in phenotype such that they become refractory to in vitro LPS stimulation for up to 48 hours thereafter.15 The consistency of this phenomenon across species is corroborated by preliminary data in a canine model where 60-second VNS treatment results in reduced LPS-inducible TNF production in a whole-blood in vitro release assay for several days after the VNS (M Faltys, personal communication). A duration of biological effect lasting hours to days after periods of stimulation lasting for only seconds to minutes implies that an implantable device will probably only need to operate with very short daily duty cycles to effectively elicit an NCAP response. This will in turn greatly reduce the necessary size and complexity of the device itself, and increase its functional lifespan, with resultant reductions in overall cost of the treatment.
NEUROSTIMULATION OF THE CAP IN ANIMAL MODELS OF DISEASE
In a canine model of CHF induced by rapid ventricular pacing, inflammation and ventricular remodeling with fibrosis are typically accompanied by marked increases in serum C-reactive protein (CRP) levels. In addition to improving the physiological manifestations of CHF, VNS resulted in 60% to 80% reductions in CRP for up to 8 weeks.17 In another canine CHF model induced by repetitive microembolization, which is similarly associated with systemic and myocardial inflammation, VNS markedly reduced circulating levels of interleukin 6 and TNF for up to 12 weeks.18 Importantly, both these studies show that rapid tachyphylaxis does not appear to occur with NCAP over periods of time that are relatively chronic by the typical standards of animal models.
VAGAL NERVE STIMULATION FOR EPILEPSY AND DEPRESSION: EXPERIENCE IN HUMANS
VNS delivered using a surgically implanted cuffed cervical vagus nerve lead and pacemaker-style pulse generator device has been approved for the treatment of refractory epilepsy in the United States since the mid-1990s and has more recently been approved for treatment of depression. Over 50,000 patients have been implanted with these devices world wide since that time. The safety profile of both surgical implantation and VNS delivery in this setting is well established.19 The major tolerability problem is laryngeal and pharyngeal symptoms, such as hoarseness and dysphonia, which are present almost solely during periods of active device stimulation. The frequency and severity of these treatments decreases after receiving treatment for an extended time.20 With growing experience in VNS delivery over the first 5 years of use, it also became apparent that reducing the active stimulation duty cycle from 40% to 10%, and keeping stimulation currents at ≤ 1.5 mA results in a marked reduction in these symptoms.21 Of note, the stimulation currents necessary to evoke NCAP in animals are well below the 1.5 mA level, and as above, NCAP is effective even with very brief, once-daily periods of stimulation (ie, a duty cycle of 0.07% if given for 1 min each day). Thus it is likely that the laryngeal and pharyngeal adverse event profile of VNS will not be problematic in the setting of NCAP delivery for inflammation.
A POTENTIAL ROLE FOR THERAPEUTIC NCAP USING IMPLANTABLE DEVICES IN HUMAN INFLAMMATORY DISEASES
Autonomic nervous system activity can be measured indirectly by recording cardiac R-R interval variability and subjecting the data to power spectral analysis. Such heart rate variability (HRV) measurements are influenced by the levels of vagus nerve activity and by balance in cardiac sympathetic–parasympathetic tone. Reduced HRV is indicative of decreased vagal tone, and reductions in HRV have a strong inverse correlation with CRP levels, progression of atherosclerosis, and risk of sudden death.22,23 HRV is also reduced relative to normal subjects in patients with RA, systemic lupus erythematosus, and Sjögren syndrome, and the extent of reduction in HRV within the patient groups correlates with disease severity.24–26 Although these associations are only correlative and do not provide firm evidence of causality, they do provide additional epidemiological support for the hypothesis that driving increased vagal activity using implantable devices may have a favorable effect on inflammatory disease.
Implantable neurostimulation devices have not yet been tested in human patients with RA. However, preliminary evidence from a small study carried out in normal volunteers demonstrated that the CAP reflex can be elicited by brief mechanical stimulation of the afferent auricular branch of the vagus nerve, as shown by reduction of in vitro LPS-inducible cytokine production (T van der Poll, personal communication). Clinical testing of NCAP using implantable VNS devices will begin in the near future. The devices to be used for these initial studies will be very similar in design to those currently in use for epilepsy treatment. However, prototype versions of the device which will be used in follow-on studies are miniaturized to the point where they will be directly implantable on the vagus nerve, without the need for a pulse generator unit on the chest and will use a small self-contained battery system which can be recharged using transcutaneous radiofrequency induction. Given the long lifespan, relatively low cost, and potential for increased safety over currently available treatments, NCAP delivered using an implantable device holds great promise as a novel potential therapeutic approach for patients with RA and other inflammatory diseases.
Implantable devices are increasingly used in the treatment of diseases which have historically been targeted only with small molecule and biological therapeutic agents. In addition to well-established products such as subcutaneous insulin pumps and intra-arterial chemotherapy pumps, where the implantable device merely serves as a more efficient means of delivering the drug, there are a number of recently developed therapeutic approaches in which the implanted device itself functions to directly treat the underlying medical condition. One particularly successful example of this strategy is cardiac resynchronization using biventricular pacing devices for congestive heart failure (CHF). These devices were approved for marketing after having been proved to prolong survival in patients whose disease had progressed despite medical management.1 Implantable device products are now approved or in late-stage development for many other traditional “medical” disorders such as hypertension, obesity, diabetes, Parkinson’s disease, and glaucoma. Recent advances in understanding the interplay between the central nervous system and the immune system have made possible a feasible implantable device approach that may similarly find use in the management of rheumatoid arthritis (RA) and other chronic inflammatory diseases.2
NEUROSTIMULATION OF THE CHOLINERGIC ANTIINFLAMMATORY PATHWAY
The vagus nerve mediates an important neural reflex which senses inflammation both peripherally and in the central nervous system, and downregulates the inflammation via efferent neural outflow to the reticuloendothelial system. The efferent arm of this reflex has been termed the “cholinergic antiinflammatory pathway” (CAP). The CAP serves as a physiological regulator of inflammation by responding to environmental injury, pathogens, and other external threats with an appropriate degree of immune system activation.3 An increasing body of evidence indicates that the CAP can also be harnessed to reduce pathological inflammation. Electrical neurostimulation of the vagus nerve (NCAP) in an appropriate manner with an implantable device is emerging as a novel and potentially feasible means of treating diseases characterized by excessive and dysregulated inflammation.
Our current understanding of the CAP began with the observations of Kevin Tracey and colleagues over a decade ago. They demonstrated that systemic, hepatic, and splenic tumor necrosis factor (TNF) production as well as the physiological manifestations of endotoxemic shock in rodents were worsened by vagotomy and ameliorated by electrical stimulation of the cervical vagus nerve (VNS). Further, based on in vitro experiments they postulated that this effect was mediated directly by acetylcholine acting through specific receptors on macrophages in the reticuloendothelial system.4 It was later demonstrated that reducing the response to endotoxemia using NCAP required an intact spleen, and selective anatomical lesion experiments showed that an intact neural pathway to the spleen from the cervical vagus through the celiac ganglion and the splenic nerve was also necessary for this effect.5 Within the spleen itself, nerve fiber synaptic vesicles are found in close apposition to TNF-secreting macrophages.6 The α-7 nicotinic acetylcholine receptor, expressed on the surface of macrophages, is essential for the NCAP effect as demonstrated by antisense oligonucleotide and targeted disruption experiments.7 In the macrophage, the α-7 nicotinic acetylcholine receptor does not appear to transduce signals through ion channels, as is the case in neuronal tissue. Rather, the NCAP effect is mediated at the subcellular level by alterations in the NF-κB and JAK/STAT/SOCS pathways.8,9
When taken together, these studies show that NCAP has a dual set of immunological effects: it reduces production of systemically active cytokines by resident spleen cells and also causes circulating cells which traverse the spleen to develop an altered phenotype with reduced expression of inflammatory mediators and adhesion molecules upon trafficking to inflamed tissue.
An important characteristic of NCAP delivered by VNS is that very brief episodes of stimulation result in a remarkably prolonged biological effect. Huston et al delivered a single 30-second electrical VNS or sham treatment in rats, and then induced endotoxemia with intraperitoneal lipopolysaccharide (LPS) at varying times after VNS. Interestingly, this brief VNS stimulation reduced production of serum TNF in response to systemic LPS exposure for up to 48 hours. Similarly, after only 60 minutes of exposure to acetylcholine, cultured human macrophages are changed in phenotype such that they become refractory to in vitro LPS stimulation for up to 48 hours thereafter.15 The consistency of this phenomenon across species is corroborated by preliminary data in a canine model where 60-second VNS treatment results in reduced LPS-inducible TNF production in a whole-blood in vitro release assay for several days after the VNS (M Faltys, personal communication). A duration of biological effect lasting hours to days after periods of stimulation lasting for only seconds to minutes implies that an implantable device will probably only need to operate with very short daily duty cycles to effectively elicit an NCAP response. This will in turn greatly reduce the necessary size and complexity of the device itself, and increase its functional lifespan, with resultant reductions in overall cost of the treatment.
NEUROSTIMULATION OF THE CAP IN ANIMAL MODELS OF DISEASE
In a canine model of CHF induced by rapid ventricular pacing, inflammation and ventricular remodeling with fibrosis are typically accompanied by marked increases in serum C-reactive protein (CRP) levels. In addition to improving the physiological manifestations of CHF, VNS resulted in 60% to 80% reductions in CRP for up to 8 weeks.17 In another canine CHF model induced by repetitive microembolization, which is similarly associated with systemic and myocardial inflammation, VNS markedly reduced circulating levels of interleukin 6 and TNF for up to 12 weeks.18 Importantly, both these studies show that rapid tachyphylaxis does not appear to occur with NCAP over periods of time that are relatively chronic by the typical standards of animal models.
VAGAL NERVE STIMULATION FOR EPILEPSY AND DEPRESSION: EXPERIENCE IN HUMANS
VNS delivered using a surgically implanted cuffed cervical vagus nerve lead and pacemaker-style pulse generator device has been approved for the treatment of refractory epilepsy in the United States since the mid-1990s and has more recently been approved for treatment of depression. Over 50,000 patients have been implanted with these devices world wide since that time. The safety profile of both surgical implantation and VNS delivery in this setting is well established.19 The major tolerability problem is laryngeal and pharyngeal symptoms, such as hoarseness and dysphonia, which are present almost solely during periods of active device stimulation. The frequency and severity of these treatments decreases after receiving treatment for an extended time.20 With growing experience in VNS delivery over the first 5 years of use, it also became apparent that reducing the active stimulation duty cycle from 40% to 10%, and keeping stimulation currents at ≤ 1.5 mA results in a marked reduction in these symptoms.21 Of note, the stimulation currents necessary to evoke NCAP in animals are well below the 1.5 mA level, and as above, NCAP is effective even with very brief, once-daily periods of stimulation (ie, a duty cycle of 0.07% if given for 1 min each day). Thus it is likely that the laryngeal and pharyngeal adverse event profile of VNS will not be problematic in the setting of NCAP delivery for inflammation.
A POTENTIAL ROLE FOR THERAPEUTIC NCAP USING IMPLANTABLE DEVICES IN HUMAN INFLAMMATORY DISEASES
Autonomic nervous system activity can be measured indirectly by recording cardiac R-R interval variability and subjecting the data to power spectral analysis. Such heart rate variability (HRV) measurements are influenced by the levels of vagus nerve activity and by balance in cardiac sympathetic–parasympathetic tone. Reduced HRV is indicative of decreased vagal tone, and reductions in HRV have a strong inverse correlation with CRP levels, progression of atherosclerosis, and risk of sudden death.22,23 HRV is also reduced relative to normal subjects in patients with RA, systemic lupus erythematosus, and Sjögren syndrome, and the extent of reduction in HRV within the patient groups correlates with disease severity.24–26 Although these associations are only correlative and do not provide firm evidence of causality, they do provide additional epidemiological support for the hypothesis that driving increased vagal activity using implantable devices may have a favorable effect on inflammatory disease.
Implantable neurostimulation devices have not yet been tested in human patients with RA. However, preliminary evidence from a small study carried out in normal volunteers demonstrated that the CAP reflex can be elicited by brief mechanical stimulation of the afferent auricular branch of the vagus nerve, as shown by reduction of in vitro LPS-inducible cytokine production (T van der Poll, personal communication). Clinical testing of NCAP using implantable VNS devices will begin in the near future. The devices to be used for these initial studies will be very similar in design to those currently in use for epilepsy treatment. However, prototype versions of the device which will be used in follow-on studies are miniaturized to the point where they will be directly implantable on the vagus nerve, without the need for a pulse generator unit on the chest and will use a small self-contained battery system which can be recharged using transcutaneous radiofrequency induction. Given the long lifespan, relatively low cost, and potential for increased safety over currently available treatments, NCAP delivered using an implantable device holds great promise as a novel potential therapeutic approach for patients with RA and other inflammatory diseases.
- Bristow MR, Saxon LA, Boehmer J, et al Comparison of Medical Therapy, Pacing, and Defibrillation in Heart Failure (COMPANION) Investigators. Cardiac-resynchronization therapy with or without an implantable defibrillator in advanced chronic heart failure. N Engl J Med 2004; 350:2140–2150.
- van Maanen MA, Vervoordeldonk MJ, Tak PP. The cholinergic anti-inflammatory pathway: towards innovative treatment of rheumatoid arthritis. Nat Rev Rheumatol 2009; 5:229–232.
- Tracey KJ. Reflex control of immunity. Nat Rev Immunol 2009; 9:418–428.
- Borovikova LV, Ivanova S, Zhang M, et al Vagus nerve stimulation attenuates the systemic inflammatory response to endotoxin. Nature 2000; 405:458–462.
- Huston JM, Ochani M, Rosas-Ballina M, et al Splenectomy inactivates the cholinergic antiinflammatory pathway during lethal endotoxemia and polymicrobial sepsis. J Exp Med 2006; 203:1623–1628.
- Rosas-Ballina M, Ochani M, Parrish WR, et al Splenic nerve is required for cholinergic antiinflammtory pathway control of TNF in endotoxemia. Proc Natl Acad Sci 2008; 105:11008–11013.
- Wang H, Yu M, Ochani M, et al Nicotinic acetylcholine receptor alpha7 subunit is an essential regulator of inflammation. Nature 2003; 421:384–388.
- Wang H, Liao H, Ochani M, et al Cholinergic agonists inhibit HMGB1 release and improve survival in experimental sepsis. Nat Med 2004; 10:1216–1221.
- de Jonge WJ, van der Zanden EP, The FO, et al Stimulation of the vagus nerve attenuates macrophage activation by activating the Jak2-STAT3 signaling pathway. Nat Immunol 2005; 6:844–851.
- Huston JM, Rosas-Ballina M, Xue X, et al Cholinergic neural signals to the spleen down-regulate leukocyte trafficking via CD11b. J Immunol 2009; 183:552–559.
- O’Mahony C, van der Kleij H, Bienenstock J, et al Loss of vagal anti-inflammatory effect: in vivo visualization and adoptive transfer. Am J Physiol Regul Integr Comp Physiol 2009; 297:R1118–R1126.
- Ghia JE, Blennerhassett P, Kumar-Ondiveeran H, et al The vagus nerve: a tonic inhibitory influence associated with inflammatory bowel disease in a murine model. Gastroenterology 2006; 131:1122–1130.
- Ghia JE, Blennerhassett P, Collins SM. Vagus nerve integrity and experimental colitis. Am J Physiol Gastrointest Liver Physiol 2007; 293:G560–G567.
- Karimi K, Bienenstock J, Wang L, et al The vagus nerve modulates CD4+ T cell activity. Brain Behav Immun 2010; 24:316–323.
- Huston JM, Gallowitsch-Puerta M, Ochani M, et al Transcutaneous vagus nerve stimulation reduces serum high mobility group box 1 levels and improves survival in murine sepsis. Crit Care Med 2007; 35:2762–2768.
- Levine Y, Faltys M, Black K, et al Neurostimulation of the cholinergic anti-inflammatory pathway (NCAP) ameliorates CIA in rats. Ann Rheum Dis 2010; 69( suppl 3):191.
- Zhang Y, Popovic ZB, Bibevski S, et al Chronic vagus nerve stimulation improves autonomic control and attenuates systemic inflammation and heart failure progression in a canine high-rate pacing model. Circ Heart Fail 2009; 2:692–699.
- Gupta RC, Imai M, Jiang AJ, et al Chronic therapy with selective vagus nerve stimulation normalizes plasma concentration of tumor necrosis factor alpha, interleukin-6, and B-type natriuretic peptide in dogs with heart failure. J Am Coll Cardiol 2006; 47:77A.
- Beekwilder JP, Beems T. Overview of the clinical applications of vagus nerve stimulation. J Clin Neurophysiol 2010; 27:130–138.
- Ben-Menachem E. Vagus nerve stimulation, side effects, and longterm safety. J Clin Neurophysiol 2001; 18:415–418.
- Heck C, Helmers SL, DeGiorgio CM. Vagus nerve stimulation therapy, epilepsy, and device parameters: scientific basis and recommendations for use. Neurology 2002; 59( 6 suppl 4):S31–S37.
- Huikuri HV, Jokinen V, Syvänne M, et al Heart rate variability and progression of coronary atherosclerosis. Arterioscler Thromb Vasc Biol 1999; 19:1979–1985.
- Sajadieh A, Nielsen OW, Rasmussen V, et al Increased heart rate and reduced heart-rate variability are associated with subclinical inflammation in middle-aged and elderly subjects with no apparent heart disease. Eur Heart J 2004; 25:363–370.
- Louthrenoo W, Ruttanaumpawan P, Aramrattana A, et al Cardio vascular autonomic nervous system dysfunction in patients with rheumatoid arthritis and systemic lupus erythematosus. QJM 1999; 92:97–102.
- Evrengül H, Dursunoglu D, Cobankara V, et al Heart rate variability in patients with rheumatoid arthritis. Rheumatol Int 2004; 24:198–202.
- Stojanovich L, Milovanovich B, de Luka SR, et al Cardiovascular autonomic dysfunction in systemic lupus, rheumatoid arthritis, primary Sjögren syndrome and other autoimmune diseases. Lupus 2007; 16:181–185.
- Bristow MR, Saxon LA, Boehmer J, et al Comparison of Medical Therapy, Pacing, and Defibrillation in Heart Failure (COMPANION) Investigators. Cardiac-resynchronization therapy with or without an implantable defibrillator in advanced chronic heart failure. N Engl J Med 2004; 350:2140–2150.
- van Maanen MA, Vervoordeldonk MJ, Tak PP. The cholinergic anti-inflammatory pathway: towards innovative treatment of rheumatoid arthritis. Nat Rev Rheumatol 2009; 5:229–232.
- Tracey KJ. Reflex control of immunity. Nat Rev Immunol 2009; 9:418–428.
- Borovikova LV, Ivanova S, Zhang M, et al Vagus nerve stimulation attenuates the systemic inflammatory response to endotoxin. Nature 2000; 405:458–462.
- Huston JM, Ochani M, Rosas-Ballina M, et al Splenectomy inactivates the cholinergic antiinflammatory pathway during lethal endotoxemia and polymicrobial sepsis. J Exp Med 2006; 203:1623–1628.
- Rosas-Ballina M, Ochani M, Parrish WR, et al Splenic nerve is required for cholinergic antiinflammtory pathway control of TNF in endotoxemia. Proc Natl Acad Sci 2008; 105:11008–11013.
- Wang H, Yu M, Ochani M, et al Nicotinic acetylcholine receptor alpha7 subunit is an essential regulator of inflammation. Nature 2003; 421:384–388.
- Wang H, Liao H, Ochani M, et al Cholinergic agonists inhibit HMGB1 release and improve survival in experimental sepsis. Nat Med 2004; 10:1216–1221.
- de Jonge WJ, van der Zanden EP, The FO, et al Stimulation of the vagus nerve attenuates macrophage activation by activating the Jak2-STAT3 signaling pathway. Nat Immunol 2005; 6:844–851.
- Huston JM, Rosas-Ballina M, Xue X, et al Cholinergic neural signals to the spleen down-regulate leukocyte trafficking via CD11b. J Immunol 2009; 183:552–559.
- O’Mahony C, van der Kleij H, Bienenstock J, et al Loss of vagal anti-inflammatory effect: in vivo visualization and adoptive transfer. Am J Physiol Regul Integr Comp Physiol 2009; 297:R1118–R1126.
- Ghia JE, Blennerhassett P, Kumar-Ondiveeran H, et al The vagus nerve: a tonic inhibitory influence associated with inflammatory bowel disease in a murine model. Gastroenterology 2006; 131:1122–1130.
- Ghia JE, Blennerhassett P, Collins SM. Vagus nerve integrity and experimental colitis. Am J Physiol Gastrointest Liver Physiol 2007; 293:G560–G567.
- Karimi K, Bienenstock J, Wang L, et al The vagus nerve modulates CD4+ T cell activity. Brain Behav Immun 2010; 24:316–323.
- Huston JM, Gallowitsch-Puerta M, Ochani M, et al Transcutaneous vagus nerve stimulation reduces serum high mobility group box 1 levels and improves survival in murine sepsis. Crit Care Med 2007; 35:2762–2768.
- Levine Y, Faltys M, Black K, et al Neurostimulation of the cholinergic anti-inflammatory pathway (NCAP) ameliorates CIA in rats. Ann Rheum Dis 2010; 69( suppl 3):191.
- Zhang Y, Popovic ZB, Bibevski S, et al Chronic vagus nerve stimulation improves autonomic control and attenuates systemic inflammation and heart failure progression in a canine high-rate pacing model. Circ Heart Fail 2009; 2:692–699.
- Gupta RC, Imai M, Jiang AJ, et al Chronic therapy with selective vagus nerve stimulation normalizes plasma concentration of tumor necrosis factor alpha, interleukin-6, and B-type natriuretic peptide in dogs with heart failure. J Am Coll Cardiol 2006; 47:77A.
- Beekwilder JP, Beems T. Overview of the clinical applications of vagus nerve stimulation. J Clin Neurophysiol 2010; 27:130–138.
- Ben-Menachem E. Vagus nerve stimulation, side effects, and longterm safety. J Clin Neurophysiol 2001; 18:415–418.
- Heck C, Helmers SL, DeGiorgio CM. Vagus nerve stimulation therapy, epilepsy, and device parameters: scientific basis and recommendations for use. Neurology 2002; 59( 6 suppl 4):S31–S37.
- Huikuri HV, Jokinen V, Syvänne M, et al Heart rate variability and progression of coronary atherosclerosis. Arterioscler Thromb Vasc Biol 1999; 19:1979–1985.
- Sajadieh A, Nielsen OW, Rasmussen V, et al Increased heart rate and reduced heart-rate variability are associated with subclinical inflammation in middle-aged and elderly subjects with no apparent heart disease. Eur Heart J 2004; 25:363–370.
- Louthrenoo W, Ruttanaumpawan P, Aramrattana A, et al Cardio vascular autonomic nervous system dysfunction in patients with rheumatoid arthritis and systemic lupus erythematosus. QJM 1999; 92:97–102.
- Evrengül H, Dursunoglu D, Cobankara V, et al Heart rate variability in patients with rheumatoid arthritis. Rheumatol Int 2004; 24:198–202.
- Stojanovich L, Milovanovich B, de Luka SR, et al Cardiovascular autonomic dysfunction in systemic lupus, rheumatoid arthritis, primary Sjögren syndrome and other autoimmune diseases. Lupus 2007; 16:181–185.
New frontiers in cardiovascular behavioral medicine: Comparative effectiveness of exercise and medication in treating depression
I am fortunate to be the recipient of the 2010 Bakken Institute Pioneer Award and feel especially honored to have my work recognized in this way. When informed that I was this year’s recipient, it prompted me to reflect on the meaning of the term “pioneer,” and how it related to me.
WHAT IS A PIONEER?
According to Merriam-Webster’s Collegiate Dictionary, a pioneer is one who (a) ventures into unknown or unclaimed territory to settle; and (b) opens up new areas of thought, research, or development. One requirement for any pioneer is that there be a frontier to explore. Thirty years ago, my colleagues and I began our investigations into cardiac rehabilitation (CR), which at the time we considered to be a new frontier for behavioral medicine.1
EXERCISE-BASED CARDIAC REHABILITATION
Historically, patients who suffered an acute myocardial infarction (AMI) were often discouraged from engaging in physical activity; patients were initially prescribed prolonged bed rest and told to avoid strenuous exercise.2 In the early 1950s, armchair therapy was proposed3 as an initial attempt to mobilize patients after a coronary event. Over the years, the value of physical exercise has been increasingly recognized and exercise is now considered to be the cornerstone of CR.4–7 Today, exercise-based CR, involving aerobic exercise supplemented by resistance training, is offered by virtually all CR programs in the United States.8 Proper medical management is also emphasized, along with dietary modification and smoking cessation, but exercise is the centerpiece of treatment.
Exercise has been shown to reduce traditional risk factors such as hypertension and hyperlipidemia,8 attenuate cardiovascular responses to mental stress,9 and reduce myocardial ischemia.10–12 Although no single study has demonstrated definitively that exercise reduces morbidity in patients with coronary heart disease (CHD), pooling data across clinical trials has shown that exercise may reduce risk of fatal CHD events by 25%.13 A recent, comprehensive meta-analysis by Jolliffe et al14 reported a 27% reduction in all-cause mortality and 31% reduction in cardiac mortality.
Not only is exercise considered beneficial for medical outcomes, but is also recognized as an important factor in improved quality of life. Indeed, there has been increased interest in the value of exercise for improving not just physical health, but also mental health.15–17 The mental health benefits of exercise are especially relevant for cardiac patients, as there is a growing literature documenting the importance of mental health, and, in particular the prognostic significance of depression, in patients with CHD.
PSYCHOSOCIAL RISK FACTORS: THE ROLE OF DEPRESSION IN CORONARY HEART DISEASE
There has long been an interest in psychosocial factors that contribute to the development and progression of CHD. More than three decades ago, researchers identified the type A behavior pattern as a risk factor for CHD.18 When subsequent studies failed to confirm the association of type A with adverse health outcomes, researchers turned their attention to other possible psychosocial risk factors, including anger and hostility,19 low social support,20 and most recently, depression.21 Indeed, the most consistent and compelling evidence is that clinical depression or elevated depressive symptoms in the presence of CHD increase the risk of fatal and nonfatal cardiac events and of all-cause mortality.22
Major depressive disorder (MDD) is a common and often chronic condition. Lifetime incidence estimates for MDD are approximately 12% in men and 20% in women.23 In addition, MDD is marked by high rates of relapse, with 22% to 50% of patients suffering recurrent episodes within 6 months after recovery.24 Furthermore, MDD is underrecognized and undertreated in older adults,25 CHD patients, and, especially, minorities.26–28
Cross-sectional studies have documented a higher prevalence of depression in CHD patients than in the general population. Point estimates range from 14% to as high as 47%, with higher rates recorded most often in patients with unstable angina, heart failure (HF), and patients awaiting coronary artery bypass graft (CABG) surgery.29–36
Depression associated with poor outcomes
A number of prospective studies have found that depression is associated with increased risk for mortality or nonfatal cardiac events in a variety of CHD populations. The most compelling evidence for depression as a risk factor has come from studies in Montreal, Canada. Frasure-Smith and colleagues31 assessed the impact of depression in 222 AMI patients, of whom 35 were diagnosed with MDD at the time of hospitalization. There were 12 deaths (six depressed and six nondepressed) over an initial 6-month followup period, representing more than a fivefold increased risk of death for depressed patients compared with nondepressed patients (hazard ratio, 5.7; 95% confidence interval [CI], 4.6 to 6.9). In a subsequent report,36 in which 896 AMI patients were followed for 1 year, the presence of elevated depressive symptoms was associated with more than a threefold increased risk in cardiac mortality after controlling for other multivariate predictors of mortality (odds ratio, 3.29 for women; 3.05 for men).
Studies of patients with stable CHD also have reported significant associations between the presence of depression and worse clinical outcomes. For example, Barefoot et al37 assessed 1,250 patients with documented CHD using the Zung self-report depression scale at the time of diagnostic coronary angiography and followed patients for up to 19.4 years. Results showed that patients with moderate to severe depression were at 69% greater risk for cardiac death and 78% greater risk for all-cause death.
Depression and heart failure outcomes
Patients with HF represent a particularly vulnerable group; a meta-analysis of depression in HF patients suggested that one in five patients are clinically depressed (range, 9% to 60%).41 Not only is depression in HF patients associated with worse outcomes,42–46 but recent evidence suggests that worsening of depressive symptoms, independent of clinical status, is related to worse outcomes. Sherwood et al46 demonstrated that increased symptoms of depression, as indicated by higher scores on the Beck Depression Inventory (BDI) over a 1-year interval (BDI change [1-point] hazard ratio, 1.07; 95% CI, 1.02 to 1.12; P = .007), were associated with higher risk of death or cardiovascular hospitalization after controlling for baseline depression (baseline BDI hazard ratio, 1.1; 95% CI, 1.06 to 1.14, P < .001) and established risk factors, including HF etiology, age, ejection fraction, N-terminal pro-B-type natriuretic peptides, and prior hospitalizations. Consequently, strategies to reduce depressive symptoms and prevent the worsening of depression may have important implications for improving cardiac health as well as for enhancing quality of life.
CONVENTIONAL APPROACHES TO TREATMENT OF DEPRESSION
Treatment of depression has focused on reduction of symptoms and restoration of function. Antidepressant medications are generally considered the treatment of choice.56 In particular, second-generation antidepressants such as selective serotonin reuptake inhibitors (SSRIs) are widely prescribed.57 Current treatment guidelines suggest 6 to 12 weeks of acute treatment followed by a continuation phase of 3 to 9 months to maintain therapeutic benefit.58 However, meta-analyses of antidepressant medications have reported only modest benefits over placebo treatments.59,60 In particular, active drug–placebo differences in antidepressant efficacy are positively correlated with depression severity: antidepressants are often comparable with placebo in patients with low levels of depression but may be superior to placebo among patients with more severe depression. However, the explanation for this relationship may be that placebo is less effective for more depressed patients rather than antidepressants being more effective for more depressed patients.59
For acute treatment of MDD, approximately 60% of patients respond to second-generation antidepressants,61 with a 40% relapse rate after 1 year.62 A recent meta-analysis60 of second-generation antidepressants summarized four comparative trials and 23 placebo-controlled trials and found that second-generation antidepressants were generally comparable with each other. Interestingly, despite the modest benefit of antidepressants, the percentage of patients treated for depression in the United States increased from 0.73% in 1987 to 2.33% in 1997. The proportion of those treated who received antidepressants increased from 37.3% in 1987 to 74.5% in 1997.63 The percentage of treated outpatients who used antidepressants has not increased significantly since 1997, but the use of psycho therapy as a sole treatment declined from 53.6% in 1998 to 43.1% in 2007.64 Moreover, the national expenditure for the outpatient treatment of depression increased from $10.05 billion in 1998 to $12.45 billion in 2007, primarily driven by an increase in expenditures for antidepressant medications.
Uncertainty about value of antidepressant therapy
Despite compelling reasons for treating depression in cardiac patients, the clinical significance of treating depression remains uncertain. To date, only the Enhancing Recovery in CHD Patients (ENRICHD) trial has examined the impact of treating depression in post-MI patients on “hard” clinical end points.65 Although more than 2,400 patients were enrolled in the trial, the results were disappointing. There were only modest differences (ie, two points on the Hamilton Depression Rating Scale [HAM-D]) in reductions of depressive symptoms in the group receiving cognitive behavior therapy (CBT) relative to usual-care controls and there were no treatment group differences in the primary outcome—all-cause mortality and nonfatal cardiac events. By the end of the follow-up period, 28.0% of patients in the CBT group and 20.6% of patients in usual care had received antidepressant medication. Although a subsequent reanalysis of the ENRICHD study revealed that antidepressant use was associated with improved clinical outcomes,66 because patients were not randomized to pharmacologic treatment it could not be concluded that SSRI use was responsible for the improved outcomes.
In a randomized trial of patients with acute coronary syndrome (the Sertraline Antidepressant Heart Attack Randomized Trial, or SADHART),67 almost 400 patients were treated with the SSRI sertraline or with placebo. Reductions in depressive symptoms were similar for patients receiving sertraline compared with placebo in the full sample, although a subgroup analysis revealed that patients with more severe depression (ie, those patients who reported two or more previous episodes) benefited more from sertraline compared with placebo. Interestingly, patients receiving sertraline tended to have more favorable cardiac outcomes, including a composite measure of both “hard” and “soft” clinical events, compared with placebo controls. These results suggested that antidepressant medication may improve underlying physiologic processes, such as platelet function, independent of changes in depression.68 However, because SADHART was not powered to detect differences in clinical events, there remain unanswered questions about the clinical value of treating depression in cardiac patients with antidepressant medication.
In a second sertraline trial, SADHART-HF,69 469 men and women with MDD and chronic systolic HF were randomized to receive either sertraline or placebo for 12 weeks. Participants were followed for a minimum of 6 months. Results showed that while sertraline was safe, its use did not result in greater reductions in depressive symptoms compared with placebo (−7.1 ± 0.5 vs −6.8 ± 0.5) and there were no differences in clinical event rates between patients receiving sertraline compared with those receiving placebo.
In an observational study of patients with HF,44 use of antidepressant medication was associated with increased risk of mortality or hospitalization. Although the potential harmful effects of antidepressant medication could not be ruled out, a more likely interpretation is that antidepressant medication use was a marker for individuals with more severe depression, and that the underlying depression may have contributed to their higher risk. Further, patients who are depressed, despite receiving treatment, may represent a subset of treatment-resistant patients who may be especially vulnerable to further cardiac events. Indeed, worsening depression is associated with worse outcomes in HF patients46; this is consistent with data from the ENRICHD trial, which showed that patients receiving CBT (and, in some cases, antidepressant medication) who failed to improve with treatment had higher mortality rates compared with patients who exhibited a positive response to treatment.70
A fourth randomized trial of CHD patients, the Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy (CREATE) trial,71 used a modified “2 by 2” design; 284 CHD patients with MDD and HAM-D rating scores of 20 or greater were randomized to receive 12 weeks of (a) interpersonal therapy (IPT) plus clinical management (CM) or (b) CM only and citalopram or matching placebo. Because the same interventionists delivered the CM and IPT, patients assigned to IPT received IPT plus CM within the same (extended) session. Patients receiving citalopram had greater reductions in depressive symptoms compared with placebo, with a small to medium effect size of 0.33, and better remission rates (35.9%) compared with placebo (22.5%). Unexpectedly, patients who received just CM tended to have greater improvements in depressive symptoms compared with patients who received IPT plus CM (P < .07); no clinical CHD end points were assessed, however.
Alternative approaches needed
Taken together, these data illustrate that antidepressant medications may reduce depressive symptoms for some patients; for other patients, however, medication fails to adequately relieve depressive symptoms and may perform no better than placebo. Adverse effects also may affect a subgroup of patients and may be relatively more common or more problematic in older persons with CHD.72 Thus, a need remains to identify alternative approaches for treating depression in cardiac patients. We believe that aerobic exercise, the cornerstone of traditional CR, may be one such approach. Exercise is safe for most cardiac patients,73,74 including patients with HF,75 and, if proven effective as a treatment for depression, exercise would hold several potential advantages over traditional medical therapies: it is relatively inexpensive, improves cardiovascular functioning, and avoids the side effects sometimes associated with medication use.
Some studies of exercise treatment for CHD patients have tracked depressive symptoms and thus have provided information regarding the potential efficacy of exercise as a treatment for depression in this population.76 –81 Although most previous studies have reported significant improvements in depression after completion of an exercise program, many studies had important methodologic limitations, including the absence of a control group.
In one of the few controlled studies in this field, Stern et al82 randomized 106 male patients who had a recent history of AMI along with elevated depression and anxiety or low fitness to 12 weeks of exercise training, group therapy, or a usual-care control group. At 1-year followup, both the exercise and counseling groups showed improvements in depression relative to controls.
Cross-sectional studies of non-CHD samples have reported that active individuals obtain significantly lower depression scores on self-report measures than sedentary persons.83 Studies also have shown that aerobic exercise may reduce self-reported depressive symptoms in nonclinical populations and in patients diagnosed with MDD.83 In 2001, a meta-analysis evaluating 11 randomized controlled trials of non-CHD patients with MDD84 noted that studies were limited because of self-selection bias, absence of control groups or nonrandom controls, and inadequate assessment of exercise training effects; the authors concluded that “the effectiveness of exercise in reducing symptoms of depression cannot be determined because of a lack of good quality research on clinical populations with adequate followup.”
Randomized controlled trials needed
A subsequent meta-analysis85 included 25 studies; for 23 trials (907 participants) that compared exercise with no treatment or a control intervention, the pooled standardized mean difference (SMD) was −0.82 (95% CI, −1.12, −0.51), indicating a large effect size. However, when only the three trials (216 participants) with adequate allocation concealment, intention to treat analysis, and blinded outcome assessment were included, the pooled SMD was −0.43 (95% CI, −0.88, 0.03), with a point estimate that was half the size of that with all trials. As a result, the authors concluded that “exercise seems to improve depressive symptoms in people with a diagnosis of depression, but when only the methodologically robust trials are included, the effect size is only moderate.”
To date, no randomized clinical trials (RCTs) have examined the effects of exercise on clinical outcomes in depressed cardiac patients. However, data from the ENRICHD trial suggest that exercise may reduce the rates of mortality and nonfatal reinfarction in patients with depression or in post-MI patients who are socially isolated.86 Self-report data were used to categorize participants as exercising regularly or not exercising regularly. After controlling for medical and demographic variables, the magnitude of reduction in risk associated with regular exercise was nearly 40% for nonfatal reinfarction and 50% for mortality. The evidence that exercise mitigates depression, reduces CHD risk factors, and improves CHD outcomes suggests that exercise may be a particularly promising intervention for depressed CHD patients.
COMPARATIVE EFFECTIVENESS OF EXERCISE AND ANTIDEPRESSANT MEDICATION
In 2008, an Institute of Medicine (IOM) report called for a national initiative of research that would provide a basis for better decision-making about how to best treat various medical conditions, including depression. In 2009, the American Reinvestment Recovery Act provided a major boost in funding for comparative effectiveness research (CER). The act allotted $1.1 billion to support this form of research. CER refers to the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition, or to improve the delivery of care. The purpose of CER is to assist consumers, clinicians, purchasers, and policy makers in reaching informed decisions that will improve health care at both the individual and population levels.87
Two research categories inform decision-making
Two broad categories of research have been used to inform decision-making:
- Epidemiologic studies provide evidence linking various treatments with patient outcomes. These sources of data are limited because they seldom specify the basis for medical decisions and they fail to consider patient characteristics that affect both clinical decisions and clinical outcomes. Indeed, it has been suggested that “overcoming the limitations of observational research is the most important frontier of research on study methods.”88
- RCTs address these limitations by randomly assigning patients to different treatment conditions. While this design may eliminate some of the uncertainty and potential confounders that characterize purely observational studies, most RCTs are efficacy studies; patients are carefully selected and a treatment is usually compared with a placebo or usual care.
The RCT design addresses the question of whether a given treatment is effective, but it does not necessarily address questions that many physicians want answers to: namely, is this treatment better than that treatment? Further, physicians want to know if one treatment is more effective than another for a given patient. For example, Hlatky et al89 showed that mortality associated with percutaneous coronary interventions (PCIs) and CABG surgery was comparable; however, mortality with CABG surgery was significantly lower for patients older than 65 years while PCI was superior for patients younger than 55 years. Thus, examination of individual differences may also help to inform clinicians about the optimal therapy for their particular patients.
Treatment of depression not necessarily a research priority
The IOM committee sought advice from a broad range of stakeholders and prioritized areas for research. The top-ranked topic was comparison of treatment strategies for atrial fibrillation, including surgery, catheter ablation, and pharmacologic treatment. Coming in at #98 was comparison of the effectiveness of different treatment strategies (eg, psychotherapy, antidepressants, combination treatment with case management) for depression after MI and their impact on medication adherence, cardiovascular events, hospitalization, and death.
In a second Duke study that compared exercise and antidepressant medication,92 202 adults (153 women; 49 men) diagnosed with MDD were randomly assigned to one of four groups: supervised exercise in a group setting, home-based exercise, antidepressant medication (sertraline, 50 to 200 mg daily), or placebo pill for 16 weeks. Once again, patients underwent the Structured Clinical Interview for Depression and completed the HAM-D. After 4 months of treatment, 41% of participants achieved remission, defined as no longer meeting criteria for MDD and a HAM-D score of less than 8 points. Patients receiving active treatments tended to have higher remission rates than placebo controls: supervised exercise, 45%; home-based exercise, 40%; medication, 47%; placebo, 31% (P = .057). All treatment groups had lower HAM-D scores after treatment; scores for the active treatment groups were not significantly different from the placebo group (P = .23). However, when immediate responders (ie, those patients who reported more than 50% reduction in depressive symptoms after only 1 week of treatment) were excluded from the analysis, patients receiving active treatments (ie, either sertraline or exercise) had greater reductions in depressive symptoms compared with placebo controls (P = .048). There was no difference between the exercise and antidepressant groups. We concluded that the efficacy of exercise appears generally comparable with antidepressant medication and both tend to be better than placebo in patients with MDD. Placebo response rates were high, suggesting that a considerable portion of the therapeutic response could be determined by patient expectations, ongoing symptom monitoring, attention, and other nonspecific factors. Similar to our previous trial, participants who continued to exercise following the completion of the program were less likely to be depressed.93
Another RCT94 also demonstrated that exercise was associated with reduced depression, independent of group support. Participants exercised alone in a secluded setting, and the study included a no-treatment control group. Only 53 of 80 patients actually completed the 12-week trial, however, including only five of 13 no-treatment controls. Moreover, there was no active treatment comparison group, so that an estimate of comparative effectiveness could not be determined.
While these results are preliminary and should be interpreted with caution, it appears that exercise may be comparable with conventional antidepressant medication in reducing depressive symptoms, at least for patients who are willing to try it, and maintenance of exercise reduces the risk of relapse.
SUMMARY
Three decades ago, we recognized that CR was a new frontier for behavioral medicine. We now know that successful rehabilitation of patients with CHD involves modification of lifestyle behaviors, including smoking cessation, dietary modification, and exercise. Exercise is no longer considered unsafe for most cardiac patients, and exercise is currently the key component of CR services. Research also has provided strong evidence that depression is an important risk factor for CHD, although there is no consensus regarding the optimal way to treat depression in CHD patients.95 Research on comparative effectiveness of established and alternative treatments for depressed cardiac patients is a new frontier for future pioneers in heart-brain medicine.
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- Taylor CB, Youngblood ME, Catellier D, et al Effects of antidepressant medication on morbidity and mortality in depressed patients after myocardial infarction. Arch Gen Psychiatry 2005; 62:792–798.
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- Serebruany VL, Glassman AH, Malinin AI, et al Platelet/endothelial biomarkers in depressed patients treated with the selective serotonin reuptake inhibitor sertraline after acute coronary events: the Sertraline AntiDepressant Heart Attack Randomized Trial (SADHART) Platelet Substudy. Circulation 2003; 108:939–44.
- O’Connor CM, Jiang W, Kuchibhatla M, et al Safety and efficacy of sertraline for depression in patients with heart failure: results of the SADHART-CHF (Sertraline Against Depression and Heart Disease in Chronic Heart Failure) trial. J Am Coll Cardiol 2010; 56:692–699.
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- Lespérance F, Frasure-Smith N, Koszycki D, et al Effects of citalopram and interpersonal psychotherapy on depression in patients with coronary artery disease: the Canadian Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy (CREATE) Trial. JAMA 2007; 297:367–379.
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I am fortunate to be the recipient of the 2010 Bakken Institute Pioneer Award and feel especially honored to have my work recognized in this way. When informed that I was this year’s recipient, it prompted me to reflect on the meaning of the term “pioneer,” and how it related to me.
WHAT IS A PIONEER?
According to Merriam-Webster’s Collegiate Dictionary, a pioneer is one who (a) ventures into unknown or unclaimed territory to settle; and (b) opens up new areas of thought, research, or development. One requirement for any pioneer is that there be a frontier to explore. Thirty years ago, my colleagues and I began our investigations into cardiac rehabilitation (CR), which at the time we considered to be a new frontier for behavioral medicine.1
EXERCISE-BASED CARDIAC REHABILITATION
Historically, patients who suffered an acute myocardial infarction (AMI) were often discouraged from engaging in physical activity; patients were initially prescribed prolonged bed rest and told to avoid strenuous exercise.2 In the early 1950s, armchair therapy was proposed3 as an initial attempt to mobilize patients after a coronary event. Over the years, the value of physical exercise has been increasingly recognized and exercise is now considered to be the cornerstone of CR.4–7 Today, exercise-based CR, involving aerobic exercise supplemented by resistance training, is offered by virtually all CR programs in the United States.8 Proper medical management is also emphasized, along with dietary modification and smoking cessation, but exercise is the centerpiece of treatment.
Exercise has been shown to reduce traditional risk factors such as hypertension and hyperlipidemia,8 attenuate cardiovascular responses to mental stress,9 and reduce myocardial ischemia.10–12 Although no single study has demonstrated definitively that exercise reduces morbidity in patients with coronary heart disease (CHD), pooling data across clinical trials has shown that exercise may reduce risk of fatal CHD events by 25%.13 A recent, comprehensive meta-analysis by Jolliffe et al14 reported a 27% reduction in all-cause mortality and 31% reduction in cardiac mortality.
Not only is exercise considered beneficial for medical outcomes, but is also recognized as an important factor in improved quality of life. Indeed, there has been increased interest in the value of exercise for improving not just physical health, but also mental health.15–17 The mental health benefits of exercise are especially relevant for cardiac patients, as there is a growing literature documenting the importance of mental health, and, in particular the prognostic significance of depression, in patients with CHD.
PSYCHOSOCIAL RISK FACTORS: THE ROLE OF DEPRESSION IN CORONARY HEART DISEASE
There has long been an interest in psychosocial factors that contribute to the development and progression of CHD. More than three decades ago, researchers identified the type A behavior pattern as a risk factor for CHD.18 When subsequent studies failed to confirm the association of type A with adverse health outcomes, researchers turned their attention to other possible psychosocial risk factors, including anger and hostility,19 low social support,20 and most recently, depression.21 Indeed, the most consistent and compelling evidence is that clinical depression or elevated depressive symptoms in the presence of CHD increase the risk of fatal and nonfatal cardiac events and of all-cause mortality.22
Major depressive disorder (MDD) is a common and often chronic condition. Lifetime incidence estimates for MDD are approximately 12% in men and 20% in women.23 In addition, MDD is marked by high rates of relapse, with 22% to 50% of patients suffering recurrent episodes within 6 months after recovery.24 Furthermore, MDD is underrecognized and undertreated in older adults,25 CHD patients, and, especially, minorities.26–28
Cross-sectional studies have documented a higher prevalence of depression in CHD patients than in the general population. Point estimates range from 14% to as high as 47%, with higher rates recorded most often in patients with unstable angina, heart failure (HF), and patients awaiting coronary artery bypass graft (CABG) surgery.29–36
Depression associated with poor outcomes
A number of prospective studies have found that depression is associated with increased risk for mortality or nonfatal cardiac events in a variety of CHD populations. The most compelling evidence for depression as a risk factor has come from studies in Montreal, Canada. Frasure-Smith and colleagues31 assessed the impact of depression in 222 AMI patients, of whom 35 were diagnosed with MDD at the time of hospitalization. There were 12 deaths (six depressed and six nondepressed) over an initial 6-month followup period, representing more than a fivefold increased risk of death for depressed patients compared with nondepressed patients (hazard ratio, 5.7; 95% confidence interval [CI], 4.6 to 6.9). In a subsequent report,36 in which 896 AMI patients were followed for 1 year, the presence of elevated depressive symptoms was associated with more than a threefold increased risk in cardiac mortality after controlling for other multivariate predictors of mortality (odds ratio, 3.29 for women; 3.05 for men).
Studies of patients with stable CHD also have reported significant associations between the presence of depression and worse clinical outcomes. For example, Barefoot et al37 assessed 1,250 patients with documented CHD using the Zung self-report depression scale at the time of diagnostic coronary angiography and followed patients for up to 19.4 years. Results showed that patients with moderate to severe depression were at 69% greater risk for cardiac death and 78% greater risk for all-cause death.
Depression and heart failure outcomes
Patients with HF represent a particularly vulnerable group; a meta-analysis of depression in HF patients suggested that one in five patients are clinically depressed (range, 9% to 60%).41 Not only is depression in HF patients associated with worse outcomes,42–46 but recent evidence suggests that worsening of depressive symptoms, independent of clinical status, is related to worse outcomes. Sherwood et al46 demonstrated that increased symptoms of depression, as indicated by higher scores on the Beck Depression Inventory (BDI) over a 1-year interval (BDI change [1-point] hazard ratio, 1.07; 95% CI, 1.02 to 1.12; P = .007), were associated with higher risk of death or cardiovascular hospitalization after controlling for baseline depression (baseline BDI hazard ratio, 1.1; 95% CI, 1.06 to 1.14, P < .001) and established risk factors, including HF etiology, age, ejection fraction, N-terminal pro-B-type natriuretic peptides, and prior hospitalizations. Consequently, strategies to reduce depressive symptoms and prevent the worsening of depression may have important implications for improving cardiac health as well as for enhancing quality of life.
CONVENTIONAL APPROACHES TO TREATMENT OF DEPRESSION
Treatment of depression has focused on reduction of symptoms and restoration of function. Antidepressant medications are generally considered the treatment of choice.56 In particular, second-generation antidepressants such as selective serotonin reuptake inhibitors (SSRIs) are widely prescribed.57 Current treatment guidelines suggest 6 to 12 weeks of acute treatment followed by a continuation phase of 3 to 9 months to maintain therapeutic benefit.58 However, meta-analyses of antidepressant medications have reported only modest benefits over placebo treatments.59,60 In particular, active drug–placebo differences in antidepressant efficacy are positively correlated with depression severity: antidepressants are often comparable with placebo in patients with low levels of depression but may be superior to placebo among patients with more severe depression. However, the explanation for this relationship may be that placebo is less effective for more depressed patients rather than antidepressants being more effective for more depressed patients.59
For acute treatment of MDD, approximately 60% of patients respond to second-generation antidepressants,61 with a 40% relapse rate after 1 year.62 A recent meta-analysis60 of second-generation antidepressants summarized four comparative trials and 23 placebo-controlled trials and found that second-generation antidepressants were generally comparable with each other. Interestingly, despite the modest benefit of antidepressants, the percentage of patients treated for depression in the United States increased from 0.73% in 1987 to 2.33% in 1997. The proportion of those treated who received antidepressants increased from 37.3% in 1987 to 74.5% in 1997.63 The percentage of treated outpatients who used antidepressants has not increased significantly since 1997, but the use of psycho therapy as a sole treatment declined from 53.6% in 1998 to 43.1% in 2007.64 Moreover, the national expenditure for the outpatient treatment of depression increased from $10.05 billion in 1998 to $12.45 billion in 2007, primarily driven by an increase in expenditures for antidepressant medications.
Uncertainty about value of antidepressant therapy
Despite compelling reasons for treating depression in cardiac patients, the clinical significance of treating depression remains uncertain. To date, only the Enhancing Recovery in CHD Patients (ENRICHD) trial has examined the impact of treating depression in post-MI patients on “hard” clinical end points.65 Although more than 2,400 patients were enrolled in the trial, the results were disappointing. There were only modest differences (ie, two points on the Hamilton Depression Rating Scale [HAM-D]) in reductions of depressive symptoms in the group receiving cognitive behavior therapy (CBT) relative to usual-care controls and there were no treatment group differences in the primary outcome—all-cause mortality and nonfatal cardiac events. By the end of the follow-up period, 28.0% of patients in the CBT group and 20.6% of patients in usual care had received antidepressant medication. Although a subsequent reanalysis of the ENRICHD study revealed that antidepressant use was associated with improved clinical outcomes,66 because patients were not randomized to pharmacologic treatment it could not be concluded that SSRI use was responsible for the improved outcomes.
In a randomized trial of patients with acute coronary syndrome (the Sertraline Antidepressant Heart Attack Randomized Trial, or SADHART),67 almost 400 patients were treated with the SSRI sertraline or with placebo. Reductions in depressive symptoms were similar for patients receiving sertraline compared with placebo in the full sample, although a subgroup analysis revealed that patients with more severe depression (ie, those patients who reported two or more previous episodes) benefited more from sertraline compared with placebo. Interestingly, patients receiving sertraline tended to have more favorable cardiac outcomes, including a composite measure of both “hard” and “soft” clinical events, compared with placebo controls. These results suggested that antidepressant medication may improve underlying physiologic processes, such as platelet function, independent of changes in depression.68 However, because SADHART was not powered to detect differences in clinical events, there remain unanswered questions about the clinical value of treating depression in cardiac patients with antidepressant medication.
In a second sertraline trial, SADHART-HF,69 469 men and women with MDD and chronic systolic HF were randomized to receive either sertraline or placebo for 12 weeks. Participants were followed for a minimum of 6 months. Results showed that while sertraline was safe, its use did not result in greater reductions in depressive symptoms compared with placebo (−7.1 ± 0.5 vs −6.8 ± 0.5) and there were no differences in clinical event rates between patients receiving sertraline compared with those receiving placebo.
In an observational study of patients with HF,44 use of antidepressant medication was associated with increased risk of mortality or hospitalization. Although the potential harmful effects of antidepressant medication could not be ruled out, a more likely interpretation is that antidepressant medication use was a marker for individuals with more severe depression, and that the underlying depression may have contributed to their higher risk. Further, patients who are depressed, despite receiving treatment, may represent a subset of treatment-resistant patients who may be especially vulnerable to further cardiac events. Indeed, worsening depression is associated with worse outcomes in HF patients46; this is consistent with data from the ENRICHD trial, which showed that patients receiving CBT (and, in some cases, antidepressant medication) who failed to improve with treatment had higher mortality rates compared with patients who exhibited a positive response to treatment.70
A fourth randomized trial of CHD patients, the Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy (CREATE) trial,71 used a modified “2 by 2” design; 284 CHD patients with MDD and HAM-D rating scores of 20 or greater were randomized to receive 12 weeks of (a) interpersonal therapy (IPT) plus clinical management (CM) or (b) CM only and citalopram or matching placebo. Because the same interventionists delivered the CM and IPT, patients assigned to IPT received IPT plus CM within the same (extended) session. Patients receiving citalopram had greater reductions in depressive symptoms compared with placebo, with a small to medium effect size of 0.33, and better remission rates (35.9%) compared with placebo (22.5%). Unexpectedly, patients who received just CM tended to have greater improvements in depressive symptoms compared with patients who received IPT plus CM (P < .07); no clinical CHD end points were assessed, however.
Alternative approaches needed
Taken together, these data illustrate that antidepressant medications may reduce depressive symptoms for some patients; for other patients, however, medication fails to adequately relieve depressive symptoms and may perform no better than placebo. Adverse effects also may affect a subgroup of patients and may be relatively more common or more problematic in older persons with CHD.72 Thus, a need remains to identify alternative approaches for treating depression in cardiac patients. We believe that aerobic exercise, the cornerstone of traditional CR, may be one such approach. Exercise is safe for most cardiac patients,73,74 including patients with HF,75 and, if proven effective as a treatment for depression, exercise would hold several potential advantages over traditional medical therapies: it is relatively inexpensive, improves cardiovascular functioning, and avoids the side effects sometimes associated with medication use.
Some studies of exercise treatment for CHD patients have tracked depressive symptoms and thus have provided information regarding the potential efficacy of exercise as a treatment for depression in this population.76 –81 Although most previous studies have reported significant improvements in depression after completion of an exercise program, many studies had important methodologic limitations, including the absence of a control group.
In one of the few controlled studies in this field, Stern et al82 randomized 106 male patients who had a recent history of AMI along with elevated depression and anxiety or low fitness to 12 weeks of exercise training, group therapy, or a usual-care control group. At 1-year followup, both the exercise and counseling groups showed improvements in depression relative to controls.
Cross-sectional studies of non-CHD samples have reported that active individuals obtain significantly lower depression scores on self-report measures than sedentary persons.83 Studies also have shown that aerobic exercise may reduce self-reported depressive symptoms in nonclinical populations and in patients diagnosed with MDD.83 In 2001, a meta-analysis evaluating 11 randomized controlled trials of non-CHD patients with MDD84 noted that studies were limited because of self-selection bias, absence of control groups or nonrandom controls, and inadequate assessment of exercise training effects; the authors concluded that “the effectiveness of exercise in reducing symptoms of depression cannot be determined because of a lack of good quality research on clinical populations with adequate followup.”
Randomized controlled trials needed
A subsequent meta-analysis85 included 25 studies; for 23 trials (907 participants) that compared exercise with no treatment or a control intervention, the pooled standardized mean difference (SMD) was −0.82 (95% CI, −1.12, −0.51), indicating a large effect size. However, when only the three trials (216 participants) with adequate allocation concealment, intention to treat analysis, and blinded outcome assessment were included, the pooled SMD was −0.43 (95% CI, −0.88, 0.03), with a point estimate that was half the size of that with all trials. As a result, the authors concluded that “exercise seems to improve depressive symptoms in people with a diagnosis of depression, but when only the methodologically robust trials are included, the effect size is only moderate.”
To date, no randomized clinical trials (RCTs) have examined the effects of exercise on clinical outcomes in depressed cardiac patients. However, data from the ENRICHD trial suggest that exercise may reduce the rates of mortality and nonfatal reinfarction in patients with depression or in post-MI patients who are socially isolated.86 Self-report data were used to categorize participants as exercising regularly or not exercising regularly. After controlling for medical and demographic variables, the magnitude of reduction in risk associated with regular exercise was nearly 40% for nonfatal reinfarction and 50% for mortality. The evidence that exercise mitigates depression, reduces CHD risk factors, and improves CHD outcomes suggests that exercise may be a particularly promising intervention for depressed CHD patients.
COMPARATIVE EFFECTIVENESS OF EXERCISE AND ANTIDEPRESSANT MEDICATION
In 2008, an Institute of Medicine (IOM) report called for a national initiative of research that would provide a basis for better decision-making about how to best treat various medical conditions, including depression. In 2009, the American Reinvestment Recovery Act provided a major boost in funding for comparative effectiveness research (CER). The act allotted $1.1 billion to support this form of research. CER refers to the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition, or to improve the delivery of care. The purpose of CER is to assist consumers, clinicians, purchasers, and policy makers in reaching informed decisions that will improve health care at both the individual and population levels.87
Two research categories inform decision-making
Two broad categories of research have been used to inform decision-making:
- Epidemiologic studies provide evidence linking various treatments with patient outcomes. These sources of data are limited because they seldom specify the basis for medical decisions and they fail to consider patient characteristics that affect both clinical decisions and clinical outcomes. Indeed, it has been suggested that “overcoming the limitations of observational research is the most important frontier of research on study methods.”88
- RCTs address these limitations by randomly assigning patients to different treatment conditions. While this design may eliminate some of the uncertainty and potential confounders that characterize purely observational studies, most RCTs are efficacy studies; patients are carefully selected and a treatment is usually compared with a placebo or usual care.
The RCT design addresses the question of whether a given treatment is effective, but it does not necessarily address questions that many physicians want answers to: namely, is this treatment better than that treatment? Further, physicians want to know if one treatment is more effective than another for a given patient. For example, Hlatky et al89 showed that mortality associated with percutaneous coronary interventions (PCIs) and CABG surgery was comparable; however, mortality with CABG surgery was significantly lower for patients older than 65 years while PCI was superior for patients younger than 55 years. Thus, examination of individual differences may also help to inform clinicians about the optimal therapy for their particular patients.
Treatment of depression not necessarily a research priority
The IOM committee sought advice from a broad range of stakeholders and prioritized areas for research. The top-ranked topic was comparison of treatment strategies for atrial fibrillation, including surgery, catheter ablation, and pharmacologic treatment. Coming in at #98 was comparison of the effectiveness of different treatment strategies (eg, psychotherapy, antidepressants, combination treatment with case management) for depression after MI and their impact on medication adherence, cardiovascular events, hospitalization, and death.
In a second Duke study that compared exercise and antidepressant medication,92 202 adults (153 women; 49 men) diagnosed with MDD were randomly assigned to one of four groups: supervised exercise in a group setting, home-based exercise, antidepressant medication (sertraline, 50 to 200 mg daily), or placebo pill for 16 weeks. Once again, patients underwent the Structured Clinical Interview for Depression and completed the HAM-D. After 4 months of treatment, 41% of participants achieved remission, defined as no longer meeting criteria for MDD and a HAM-D score of less than 8 points. Patients receiving active treatments tended to have higher remission rates than placebo controls: supervised exercise, 45%; home-based exercise, 40%; medication, 47%; placebo, 31% (P = .057). All treatment groups had lower HAM-D scores after treatment; scores for the active treatment groups were not significantly different from the placebo group (P = .23). However, when immediate responders (ie, those patients who reported more than 50% reduction in depressive symptoms after only 1 week of treatment) were excluded from the analysis, patients receiving active treatments (ie, either sertraline or exercise) had greater reductions in depressive symptoms compared with placebo controls (P = .048). There was no difference between the exercise and antidepressant groups. We concluded that the efficacy of exercise appears generally comparable with antidepressant medication and both tend to be better than placebo in patients with MDD. Placebo response rates were high, suggesting that a considerable portion of the therapeutic response could be determined by patient expectations, ongoing symptom monitoring, attention, and other nonspecific factors. Similar to our previous trial, participants who continued to exercise following the completion of the program were less likely to be depressed.93
Another RCT94 also demonstrated that exercise was associated with reduced depression, independent of group support. Participants exercised alone in a secluded setting, and the study included a no-treatment control group. Only 53 of 80 patients actually completed the 12-week trial, however, including only five of 13 no-treatment controls. Moreover, there was no active treatment comparison group, so that an estimate of comparative effectiveness could not be determined.
While these results are preliminary and should be interpreted with caution, it appears that exercise may be comparable with conventional antidepressant medication in reducing depressive symptoms, at least for patients who are willing to try it, and maintenance of exercise reduces the risk of relapse.
SUMMARY
Three decades ago, we recognized that CR was a new frontier for behavioral medicine. We now know that successful rehabilitation of patients with CHD involves modification of lifestyle behaviors, including smoking cessation, dietary modification, and exercise. Exercise is no longer considered unsafe for most cardiac patients, and exercise is currently the key component of CR services. Research also has provided strong evidence that depression is an important risk factor for CHD, although there is no consensus regarding the optimal way to treat depression in CHD patients.95 Research on comparative effectiveness of established and alternative treatments for depressed cardiac patients is a new frontier for future pioneers in heart-brain medicine.
I am fortunate to be the recipient of the 2010 Bakken Institute Pioneer Award and feel especially honored to have my work recognized in this way. When informed that I was this year’s recipient, it prompted me to reflect on the meaning of the term “pioneer,” and how it related to me.
WHAT IS A PIONEER?
According to Merriam-Webster’s Collegiate Dictionary, a pioneer is one who (a) ventures into unknown or unclaimed territory to settle; and (b) opens up new areas of thought, research, or development. One requirement for any pioneer is that there be a frontier to explore. Thirty years ago, my colleagues and I began our investigations into cardiac rehabilitation (CR), which at the time we considered to be a new frontier for behavioral medicine.1
EXERCISE-BASED CARDIAC REHABILITATION
Historically, patients who suffered an acute myocardial infarction (AMI) were often discouraged from engaging in physical activity; patients were initially prescribed prolonged bed rest and told to avoid strenuous exercise.2 In the early 1950s, armchair therapy was proposed3 as an initial attempt to mobilize patients after a coronary event. Over the years, the value of physical exercise has been increasingly recognized and exercise is now considered to be the cornerstone of CR.4–7 Today, exercise-based CR, involving aerobic exercise supplemented by resistance training, is offered by virtually all CR programs in the United States.8 Proper medical management is also emphasized, along with dietary modification and smoking cessation, but exercise is the centerpiece of treatment.
Exercise has been shown to reduce traditional risk factors such as hypertension and hyperlipidemia,8 attenuate cardiovascular responses to mental stress,9 and reduce myocardial ischemia.10–12 Although no single study has demonstrated definitively that exercise reduces morbidity in patients with coronary heart disease (CHD), pooling data across clinical trials has shown that exercise may reduce risk of fatal CHD events by 25%.13 A recent, comprehensive meta-analysis by Jolliffe et al14 reported a 27% reduction in all-cause mortality and 31% reduction in cardiac mortality.
Not only is exercise considered beneficial for medical outcomes, but is also recognized as an important factor in improved quality of life. Indeed, there has been increased interest in the value of exercise for improving not just physical health, but also mental health.15–17 The mental health benefits of exercise are especially relevant for cardiac patients, as there is a growing literature documenting the importance of mental health, and, in particular the prognostic significance of depression, in patients with CHD.
PSYCHOSOCIAL RISK FACTORS: THE ROLE OF DEPRESSION IN CORONARY HEART DISEASE
There has long been an interest in psychosocial factors that contribute to the development and progression of CHD. More than three decades ago, researchers identified the type A behavior pattern as a risk factor for CHD.18 When subsequent studies failed to confirm the association of type A with adverse health outcomes, researchers turned their attention to other possible psychosocial risk factors, including anger and hostility,19 low social support,20 and most recently, depression.21 Indeed, the most consistent and compelling evidence is that clinical depression or elevated depressive symptoms in the presence of CHD increase the risk of fatal and nonfatal cardiac events and of all-cause mortality.22
Major depressive disorder (MDD) is a common and often chronic condition. Lifetime incidence estimates for MDD are approximately 12% in men and 20% in women.23 In addition, MDD is marked by high rates of relapse, with 22% to 50% of patients suffering recurrent episodes within 6 months after recovery.24 Furthermore, MDD is underrecognized and undertreated in older adults,25 CHD patients, and, especially, minorities.26–28
Cross-sectional studies have documented a higher prevalence of depression in CHD patients than in the general population. Point estimates range from 14% to as high as 47%, with higher rates recorded most often in patients with unstable angina, heart failure (HF), and patients awaiting coronary artery bypass graft (CABG) surgery.29–36
Depression associated with poor outcomes
A number of prospective studies have found that depression is associated with increased risk for mortality or nonfatal cardiac events in a variety of CHD populations. The most compelling evidence for depression as a risk factor has come from studies in Montreal, Canada. Frasure-Smith and colleagues31 assessed the impact of depression in 222 AMI patients, of whom 35 were diagnosed with MDD at the time of hospitalization. There were 12 deaths (six depressed and six nondepressed) over an initial 6-month followup period, representing more than a fivefold increased risk of death for depressed patients compared with nondepressed patients (hazard ratio, 5.7; 95% confidence interval [CI], 4.6 to 6.9). In a subsequent report,36 in which 896 AMI patients were followed for 1 year, the presence of elevated depressive symptoms was associated with more than a threefold increased risk in cardiac mortality after controlling for other multivariate predictors of mortality (odds ratio, 3.29 for women; 3.05 for men).
Studies of patients with stable CHD also have reported significant associations between the presence of depression and worse clinical outcomes. For example, Barefoot et al37 assessed 1,250 patients with documented CHD using the Zung self-report depression scale at the time of diagnostic coronary angiography and followed patients for up to 19.4 years. Results showed that patients with moderate to severe depression were at 69% greater risk for cardiac death and 78% greater risk for all-cause death.
Depression and heart failure outcomes
Patients with HF represent a particularly vulnerable group; a meta-analysis of depression in HF patients suggested that one in five patients are clinically depressed (range, 9% to 60%).41 Not only is depression in HF patients associated with worse outcomes,42–46 but recent evidence suggests that worsening of depressive symptoms, independent of clinical status, is related to worse outcomes. Sherwood et al46 demonstrated that increased symptoms of depression, as indicated by higher scores on the Beck Depression Inventory (BDI) over a 1-year interval (BDI change [1-point] hazard ratio, 1.07; 95% CI, 1.02 to 1.12; P = .007), were associated with higher risk of death or cardiovascular hospitalization after controlling for baseline depression (baseline BDI hazard ratio, 1.1; 95% CI, 1.06 to 1.14, P < .001) and established risk factors, including HF etiology, age, ejection fraction, N-terminal pro-B-type natriuretic peptides, and prior hospitalizations. Consequently, strategies to reduce depressive symptoms and prevent the worsening of depression may have important implications for improving cardiac health as well as for enhancing quality of life.
CONVENTIONAL APPROACHES TO TREATMENT OF DEPRESSION
Treatment of depression has focused on reduction of symptoms and restoration of function. Antidepressant medications are generally considered the treatment of choice.56 In particular, second-generation antidepressants such as selective serotonin reuptake inhibitors (SSRIs) are widely prescribed.57 Current treatment guidelines suggest 6 to 12 weeks of acute treatment followed by a continuation phase of 3 to 9 months to maintain therapeutic benefit.58 However, meta-analyses of antidepressant medications have reported only modest benefits over placebo treatments.59,60 In particular, active drug–placebo differences in antidepressant efficacy are positively correlated with depression severity: antidepressants are often comparable with placebo in patients with low levels of depression but may be superior to placebo among patients with more severe depression. However, the explanation for this relationship may be that placebo is less effective for more depressed patients rather than antidepressants being more effective for more depressed patients.59
For acute treatment of MDD, approximately 60% of patients respond to second-generation antidepressants,61 with a 40% relapse rate after 1 year.62 A recent meta-analysis60 of second-generation antidepressants summarized four comparative trials and 23 placebo-controlled trials and found that second-generation antidepressants were generally comparable with each other. Interestingly, despite the modest benefit of antidepressants, the percentage of patients treated for depression in the United States increased from 0.73% in 1987 to 2.33% in 1997. The proportion of those treated who received antidepressants increased from 37.3% in 1987 to 74.5% in 1997.63 The percentage of treated outpatients who used antidepressants has not increased significantly since 1997, but the use of psycho therapy as a sole treatment declined from 53.6% in 1998 to 43.1% in 2007.64 Moreover, the national expenditure for the outpatient treatment of depression increased from $10.05 billion in 1998 to $12.45 billion in 2007, primarily driven by an increase in expenditures for antidepressant medications.
Uncertainty about value of antidepressant therapy
Despite compelling reasons for treating depression in cardiac patients, the clinical significance of treating depression remains uncertain. To date, only the Enhancing Recovery in CHD Patients (ENRICHD) trial has examined the impact of treating depression in post-MI patients on “hard” clinical end points.65 Although more than 2,400 patients were enrolled in the trial, the results were disappointing. There were only modest differences (ie, two points on the Hamilton Depression Rating Scale [HAM-D]) in reductions of depressive symptoms in the group receiving cognitive behavior therapy (CBT) relative to usual-care controls and there were no treatment group differences in the primary outcome—all-cause mortality and nonfatal cardiac events. By the end of the follow-up period, 28.0% of patients in the CBT group and 20.6% of patients in usual care had received antidepressant medication. Although a subsequent reanalysis of the ENRICHD study revealed that antidepressant use was associated with improved clinical outcomes,66 because patients were not randomized to pharmacologic treatment it could not be concluded that SSRI use was responsible for the improved outcomes.
In a randomized trial of patients with acute coronary syndrome (the Sertraline Antidepressant Heart Attack Randomized Trial, or SADHART),67 almost 400 patients were treated with the SSRI sertraline or with placebo. Reductions in depressive symptoms were similar for patients receiving sertraline compared with placebo in the full sample, although a subgroup analysis revealed that patients with more severe depression (ie, those patients who reported two or more previous episodes) benefited more from sertraline compared with placebo. Interestingly, patients receiving sertraline tended to have more favorable cardiac outcomes, including a composite measure of both “hard” and “soft” clinical events, compared with placebo controls. These results suggested that antidepressant medication may improve underlying physiologic processes, such as platelet function, independent of changes in depression.68 However, because SADHART was not powered to detect differences in clinical events, there remain unanswered questions about the clinical value of treating depression in cardiac patients with antidepressant medication.
In a second sertraline trial, SADHART-HF,69 469 men and women with MDD and chronic systolic HF were randomized to receive either sertraline or placebo for 12 weeks. Participants were followed for a minimum of 6 months. Results showed that while sertraline was safe, its use did not result in greater reductions in depressive symptoms compared with placebo (−7.1 ± 0.5 vs −6.8 ± 0.5) and there were no differences in clinical event rates between patients receiving sertraline compared with those receiving placebo.
In an observational study of patients with HF,44 use of antidepressant medication was associated with increased risk of mortality or hospitalization. Although the potential harmful effects of antidepressant medication could not be ruled out, a more likely interpretation is that antidepressant medication use was a marker for individuals with more severe depression, and that the underlying depression may have contributed to their higher risk. Further, patients who are depressed, despite receiving treatment, may represent a subset of treatment-resistant patients who may be especially vulnerable to further cardiac events. Indeed, worsening depression is associated with worse outcomes in HF patients46; this is consistent with data from the ENRICHD trial, which showed that patients receiving CBT (and, in some cases, antidepressant medication) who failed to improve with treatment had higher mortality rates compared with patients who exhibited a positive response to treatment.70
A fourth randomized trial of CHD patients, the Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy (CREATE) trial,71 used a modified “2 by 2” design; 284 CHD patients with MDD and HAM-D rating scores of 20 or greater were randomized to receive 12 weeks of (a) interpersonal therapy (IPT) plus clinical management (CM) or (b) CM only and citalopram or matching placebo. Because the same interventionists delivered the CM and IPT, patients assigned to IPT received IPT plus CM within the same (extended) session. Patients receiving citalopram had greater reductions in depressive symptoms compared with placebo, with a small to medium effect size of 0.33, and better remission rates (35.9%) compared with placebo (22.5%). Unexpectedly, patients who received just CM tended to have greater improvements in depressive symptoms compared with patients who received IPT plus CM (P < .07); no clinical CHD end points were assessed, however.
Alternative approaches needed
Taken together, these data illustrate that antidepressant medications may reduce depressive symptoms for some patients; for other patients, however, medication fails to adequately relieve depressive symptoms and may perform no better than placebo. Adverse effects also may affect a subgroup of patients and may be relatively more common or more problematic in older persons with CHD.72 Thus, a need remains to identify alternative approaches for treating depression in cardiac patients. We believe that aerobic exercise, the cornerstone of traditional CR, may be one such approach. Exercise is safe for most cardiac patients,73,74 including patients with HF,75 and, if proven effective as a treatment for depression, exercise would hold several potential advantages over traditional medical therapies: it is relatively inexpensive, improves cardiovascular functioning, and avoids the side effects sometimes associated with medication use.
Some studies of exercise treatment for CHD patients have tracked depressive symptoms and thus have provided information regarding the potential efficacy of exercise as a treatment for depression in this population.76 –81 Although most previous studies have reported significant improvements in depression after completion of an exercise program, many studies had important methodologic limitations, including the absence of a control group.
In one of the few controlled studies in this field, Stern et al82 randomized 106 male patients who had a recent history of AMI along with elevated depression and anxiety or low fitness to 12 weeks of exercise training, group therapy, or a usual-care control group. At 1-year followup, both the exercise and counseling groups showed improvements in depression relative to controls.
Cross-sectional studies of non-CHD samples have reported that active individuals obtain significantly lower depression scores on self-report measures than sedentary persons.83 Studies also have shown that aerobic exercise may reduce self-reported depressive symptoms in nonclinical populations and in patients diagnosed with MDD.83 In 2001, a meta-analysis evaluating 11 randomized controlled trials of non-CHD patients with MDD84 noted that studies were limited because of self-selection bias, absence of control groups or nonrandom controls, and inadequate assessment of exercise training effects; the authors concluded that “the effectiveness of exercise in reducing symptoms of depression cannot be determined because of a lack of good quality research on clinical populations with adequate followup.”
Randomized controlled trials needed
A subsequent meta-analysis85 included 25 studies; for 23 trials (907 participants) that compared exercise with no treatment or a control intervention, the pooled standardized mean difference (SMD) was −0.82 (95% CI, −1.12, −0.51), indicating a large effect size. However, when only the three trials (216 participants) with adequate allocation concealment, intention to treat analysis, and blinded outcome assessment were included, the pooled SMD was −0.43 (95% CI, −0.88, 0.03), with a point estimate that was half the size of that with all trials. As a result, the authors concluded that “exercise seems to improve depressive symptoms in people with a diagnosis of depression, but when only the methodologically robust trials are included, the effect size is only moderate.”
To date, no randomized clinical trials (RCTs) have examined the effects of exercise on clinical outcomes in depressed cardiac patients. However, data from the ENRICHD trial suggest that exercise may reduce the rates of mortality and nonfatal reinfarction in patients with depression or in post-MI patients who are socially isolated.86 Self-report data were used to categorize participants as exercising regularly or not exercising regularly. After controlling for medical and demographic variables, the magnitude of reduction in risk associated with regular exercise was nearly 40% for nonfatal reinfarction and 50% for mortality. The evidence that exercise mitigates depression, reduces CHD risk factors, and improves CHD outcomes suggests that exercise may be a particularly promising intervention for depressed CHD patients.
COMPARATIVE EFFECTIVENESS OF EXERCISE AND ANTIDEPRESSANT MEDICATION
In 2008, an Institute of Medicine (IOM) report called for a national initiative of research that would provide a basis for better decision-making about how to best treat various medical conditions, including depression. In 2009, the American Reinvestment Recovery Act provided a major boost in funding for comparative effectiveness research (CER). The act allotted $1.1 billion to support this form of research. CER refers to the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition, or to improve the delivery of care. The purpose of CER is to assist consumers, clinicians, purchasers, and policy makers in reaching informed decisions that will improve health care at both the individual and population levels.87
Two research categories inform decision-making
Two broad categories of research have been used to inform decision-making:
- Epidemiologic studies provide evidence linking various treatments with patient outcomes. These sources of data are limited because they seldom specify the basis for medical decisions and they fail to consider patient characteristics that affect both clinical decisions and clinical outcomes. Indeed, it has been suggested that “overcoming the limitations of observational research is the most important frontier of research on study methods.”88
- RCTs address these limitations by randomly assigning patients to different treatment conditions. While this design may eliminate some of the uncertainty and potential confounders that characterize purely observational studies, most RCTs are efficacy studies; patients are carefully selected and a treatment is usually compared with a placebo or usual care.
The RCT design addresses the question of whether a given treatment is effective, but it does not necessarily address questions that many physicians want answers to: namely, is this treatment better than that treatment? Further, physicians want to know if one treatment is more effective than another for a given patient. For example, Hlatky et al89 showed that mortality associated with percutaneous coronary interventions (PCIs) and CABG surgery was comparable; however, mortality with CABG surgery was significantly lower for patients older than 65 years while PCI was superior for patients younger than 55 years. Thus, examination of individual differences may also help to inform clinicians about the optimal therapy for their particular patients.
Treatment of depression not necessarily a research priority
The IOM committee sought advice from a broad range of stakeholders and prioritized areas for research. The top-ranked topic was comparison of treatment strategies for atrial fibrillation, including surgery, catheter ablation, and pharmacologic treatment. Coming in at #98 was comparison of the effectiveness of different treatment strategies (eg, psychotherapy, antidepressants, combination treatment with case management) for depression after MI and their impact on medication adherence, cardiovascular events, hospitalization, and death.
In a second Duke study that compared exercise and antidepressant medication,92 202 adults (153 women; 49 men) diagnosed with MDD were randomly assigned to one of four groups: supervised exercise in a group setting, home-based exercise, antidepressant medication (sertraline, 50 to 200 mg daily), or placebo pill for 16 weeks. Once again, patients underwent the Structured Clinical Interview for Depression and completed the HAM-D. After 4 months of treatment, 41% of participants achieved remission, defined as no longer meeting criteria for MDD and a HAM-D score of less than 8 points. Patients receiving active treatments tended to have higher remission rates than placebo controls: supervised exercise, 45%; home-based exercise, 40%; medication, 47%; placebo, 31% (P = .057). All treatment groups had lower HAM-D scores after treatment; scores for the active treatment groups were not significantly different from the placebo group (P = .23). However, when immediate responders (ie, those patients who reported more than 50% reduction in depressive symptoms after only 1 week of treatment) were excluded from the analysis, patients receiving active treatments (ie, either sertraline or exercise) had greater reductions in depressive symptoms compared with placebo controls (P = .048). There was no difference between the exercise and antidepressant groups. We concluded that the efficacy of exercise appears generally comparable with antidepressant medication and both tend to be better than placebo in patients with MDD. Placebo response rates were high, suggesting that a considerable portion of the therapeutic response could be determined by patient expectations, ongoing symptom monitoring, attention, and other nonspecific factors. Similar to our previous trial, participants who continued to exercise following the completion of the program were less likely to be depressed.93
Another RCT94 also demonstrated that exercise was associated with reduced depression, independent of group support. Participants exercised alone in a secluded setting, and the study included a no-treatment control group. Only 53 of 80 patients actually completed the 12-week trial, however, including only five of 13 no-treatment controls. Moreover, there was no active treatment comparison group, so that an estimate of comparative effectiveness could not be determined.
While these results are preliminary and should be interpreted with caution, it appears that exercise may be comparable with conventional antidepressant medication in reducing depressive symptoms, at least for patients who are willing to try it, and maintenance of exercise reduces the risk of relapse.
SUMMARY
Three decades ago, we recognized that CR was a new frontier for behavioral medicine. We now know that successful rehabilitation of patients with CHD involves modification of lifestyle behaviors, including smoking cessation, dietary modification, and exercise. Exercise is no longer considered unsafe for most cardiac patients, and exercise is currently the key component of CR services. Research also has provided strong evidence that depression is an important risk factor for CHD, although there is no consensus regarding the optimal way to treat depression in CHD patients.95 Research on comparative effectiveness of established and alternative treatments for depressed cardiac patients is a new frontier for future pioneers in heart-brain medicine.
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- American Psyciatric Association. Practice guideline for the treatment of patients with major depressive disorder (revision). Am J Psychiatry 2000; 157( suppl 4):1–45.
- Kirsch I, Deacon BJ, Huedo-Medina TB, Scoboria A, Moore TJ, Johnson BT. Initial severity and antidepressant benefits: a meta-analysis of data submitted to the Food and Drug Administration. PLoS Med 2008; 5:e45.
- Hansen R, Gaynes B, Thieda P, et al Meta-analysis of major depressive disorder relapse and recurrence with second-generation antidepressants. Psychiatr Serv 2008; 59:1121–1129.
- Hansen RA, Gartlehner G, Lohr KN, Gaynes BN, Carey TS. Efficacy and safety of second-generation antidepressants in the treatment of major depressive disorder. Ann Intern Med 2005; 143:415–426.
- Rush AJ, Trivedi MH, Wisniewski SR, et al Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report. Am J Psychiatry 2006; 163:1905–1917.
- Olfson M, Marcus SC, Druss B, Elinson L, Tanielian T, Pincus HA. National trends in the outpatient treatment of depression. JAMA 2002; 287:203–209.
- Marcus SC, Olfson M. National trends in the treatment of depression from 1998 to 2007. Arch Gen Psychiatry 2010; 67:1265–1273.
- Berkman LF, Blumenthal J, Burg M, et al Effects of treating depression and low perceived social support on clinical events after myocardial infarction: the Enhancing Recovery in Coronary Heart Disease Patients (ENRICHD) Randomized Trial. JAMA 2003; 289:3106–3116.
- Taylor CB, Youngblood ME, Catellier D, et al Effects of antidepressant medication on morbidity and mortality in depressed patients after myocardial infarction. Arch Gen Psychiatry 2005; 62:792–798.
- Glassman AH, O’Connor CM, Califf RM, et al Sertraline treatment of major depression in patients with acute MI or unstable angina. JAMA 2002; 288:701–709.
- Serebruany VL, Glassman AH, Malinin AI, et al Platelet/endothelial biomarkers in depressed patients treated with the selective serotonin reuptake inhibitor sertraline after acute coronary events: the Sertraline AntiDepressant Heart Attack Randomized Trial (SADHART) Platelet Substudy. Circulation 2003; 108:939–44.
- O’Connor CM, Jiang W, Kuchibhatla M, et al Safety and efficacy of sertraline for depression in patients with heart failure: results of the SADHART-CHF (Sertraline Against Depression and Heart Disease in Chronic Heart Failure) trial. J Am Coll Cardiol 2010; 56:692–699.
- Carney RM, Blumenthal JA, Freedland KE, et al Depression and late mortality after myocardial infarction in the Enhancing Recovery in Coronary Heart Disease (ENRICHD) study. Psychosom Med 2004; 66:466–474.
- Lespérance F, Frasure-Smith N, Koszycki D, et al Effects of citalopram and interpersonal psychotherapy on depression in patients with coronary artery disease: the Canadian Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy (CREATE) Trial. JAMA 2007; 297:367–379.
- Salzman C, Schneider L, Alexopoulos GS. Pharmacological treatment of depression in late life. In:Bloon F, Kupfer D, eds. Psychopharmacology: Fourth Generation of Progress. New York: Raven Press; 1995.
- Franklin BA, Bonzheim K, Gordon S, Timmis GC. Safety of medically supervised outpatient cardiac rehabilitation exercise therapy: a 16-year follow-up. Chest 1998; 114:902–906.
- Vongvanich P, Paul-Labrador MJ, Merz CN. Safety of medically supervised exercise in a cardiac rehabilitation center. Am J Cardiol 1996; 77:1383–1385.
- O’Connor CM, Whellan DJ, Lee KL, et al Efficacy and safety of exercise training in patients with chronic heart failure: H-F ACTION randomized controlled trial. JAMA 2009; 301:1439–1540.
- Milani RV, Lavie CJ, Cassidy MM. Effects of cardiac rehabilitation and exercise training programs on depression in patients after major coronary events. Am Heart J 1996; 132:726–732.
- Beniamini Y, Rubenstein JJ, Zaichkowsky LD, Crim MC. Effects of high-intensity strength training on quality-of-life parameters in cardiac rehabilitation patients. Am J Cardiol 1997; 80:841–846.
- Maines TY, Lavie CJ, Milani RV, Cassidy MM, Gilliland YE, Murgo JP. Effects of cardiac rehabilitation and exercise programs on exercise capacity, coronary risk factors, behavior, and quality of life in patients with coronary artery disease. South Med J 1997; 90:43–49.
- Milani RV, Lavie CJ. Prevalence and effects of cardiac rehabilitation on depression in the elderly with coronary heart disease. Am J Cardiol 1998; 81:1233–1236.
- Blumenthal JA, Emery CF, Rejeski WJ. The effects of exercise training on psychosocial functioning after myocardial infarction. J Cardiopulmonary Rehabil 1988; 8:183–193.
- Taylor CB, Houston-Miller N, Ahn DK, Haskell W, DeBusk RF. The effects of exercise training programs on psychosocial improvement in uncomplicated postmyocardial infarction patients. J Psychosom Res 1986; 30:581–587.
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- Brosse AL, Sheets ES, Lett HS, Blumenthal JA. Exercise and the treatment of clinical depression in adults: recent findings and future directions. Sports Med 2002; 32:741–760.
- Lawlor DA, Hopker SW. The effectiveness of exercise as an intervention in the management of depression: systematic review and meta-regression analysis of randomised controlled trials. BMJ 2001; 322:763–767.
- Mead GE, Morley W, Campbell P, Greig CA, McMurdo M, Lawlor DA. Exercise for depression. Cochrane Database Syst Rev 2009:CD004366.
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- Sherwood A, Blumenthal JA, Hinderliter AL, et al Worsening depressive symptoms are associated with adverse clinical outcomes in patients with heart failure. J Am Coll Cardiol 2011; 57:418–423.
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- Kop WJ, Gottdiener JS, Tangen CM, et al Inflammation and coagulation factors in persons > 65 years of age with symptoms of depression but without evidence of myocardial ischemia. Am J Cardiol 2002; 89:419–424.
- Carney RM, Freedland KE, Eisen SA, Rich MW, Jaffe AS. Major depression and medication adherence in elderly patients with coronary artery disease. Health Psychol 1995; 14:88–90.
- Lehto S, Koukkunen H, Hintikka J, Viinamäki H, Laakso M, Pyörälä K. Depression after coronary heart disease events. Scand Cardiovasc J 2000; 34:580–583.
- Camacho TC, Roberts RE, Lazarus NB, Kaplan GA, Cohen RD. Physical activity and depression: evidence from the Alameda County Study. Am J Epidemiol 1991; 134:220–231.
- Clinical Practice Guideline Number 5: Depression in Primary Care, 2: Treatment of Major Depression. Rockville, MD: U.S. Department of Health and Human Services, Agency for Health Care Policy and Research; 1993. AHCPR publication 93-0551.
- Anderson IM, Ferrier IN, Baldwin RC, et al Evidence-based guidelines for treating depressive disorders with antidepressants: a revision of the 2000 British Association for Psychopharmacology guidelines. J Psychopharmacol 2008; 22:343–396.
- American Psyciatric Association. Practice guideline for the treatment of patients with major depressive disorder (revision). Am J Psychiatry 2000; 157( suppl 4):1–45.
- Kirsch I, Deacon BJ, Huedo-Medina TB, Scoboria A, Moore TJ, Johnson BT. Initial severity and antidepressant benefits: a meta-analysis of data submitted to the Food and Drug Administration. PLoS Med 2008; 5:e45.
- Hansen R, Gaynes B, Thieda P, et al Meta-analysis of major depressive disorder relapse and recurrence with second-generation antidepressants. Psychiatr Serv 2008; 59:1121–1129.
- Hansen RA, Gartlehner G, Lohr KN, Gaynes BN, Carey TS. Efficacy and safety of second-generation antidepressants in the treatment of major depressive disorder. Ann Intern Med 2005; 143:415–426.
- Rush AJ, Trivedi MH, Wisniewski SR, et al Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report. Am J Psychiatry 2006; 163:1905–1917.
- Olfson M, Marcus SC, Druss B, Elinson L, Tanielian T, Pincus HA. National trends in the outpatient treatment of depression. JAMA 2002; 287:203–209.
- Marcus SC, Olfson M. National trends in the treatment of depression from 1998 to 2007. Arch Gen Psychiatry 2010; 67:1265–1273.
- Berkman LF, Blumenthal J, Burg M, et al Effects of treating depression and low perceived social support on clinical events after myocardial infarction: the Enhancing Recovery in Coronary Heart Disease Patients (ENRICHD) Randomized Trial. JAMA 2003; 289:3106–3116.
- Taylor CB, Youngblood ME, Catellier D, et al Effects of antidepressant medication on morbidity and mortality in depressed patients after myocardial infarction. Arch Gen Psychiatry 2005; 62:792–798.
- Glassman AH, O’Connor CM, Califf RM, et al Sertraline treatment of major depression in patients with acute MI or unstable angina. JAMA 2002; 288:701–709.
- Serebruany VL, Glassman AH, Malinin AI, et al Platelet/endothelial biomarkers in depressed patients treated with the selective serotonin reuptake inhibitor sertraline after acute coronary events: the Sertraline AntiDepressant Heart Attack Randomized Trial (SADHART) Platelet Substudy. Circulation 2003; 108:939–44.
- O’Connor CM, Jiang W, Kuchibhatla M, et al Safety and efficacy of sertraline for depression in patients with heart failure: results of the SADHART-CHF (Sertraline Against Depression and Heart Disease in Chronic Heart Failure) trial. J Am Coll Cardiol 2010; 56:692–699.
- Carney RM, Blumenthal JA, Freedland KE, et al Depression and late mortality after myocardial infarction in the Enhancing Recovery in Coronary Heart Disease (ENRICHD) study. Psychosom Med 2004; 66:466–474.
- Lespérance F, Frasure-Smith N, Koszycki D, et al Effects of citalopram and interpersonal psychotherapy on depression in patients with coronary artery disease: the Canadian Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy (CREATE) Trial. JAMA 2007; 297:367–379.
- Salzman C, Schneider L, Alexopoulos GS. Pharmacological treatment of depression in late life. In:Bloon F, Kupfer D, eds. Psychopharmacology: Fourth Generation of Progress. New York: Raven Press; 1995.
- Franklin BA, Bonzheim K, Gordon S, Timmis GC. Safety of medically supervised outpatient cardiac rehabilitation exercise therapy: a 16-year follow-up. Chest 1998; 114:902–906.
- Vongvanich P, Paul-Labrador MJ, Merz CN. Safety of medically supervised exercise in a cardiac rehabilitation center. Am J Cardiol 1996; 77:1383–1385.
- O’Connor CM, Whellan DJ, Lee KL, et al Efficacy and safety of exercise training in patients with chronic heart failure: H-F ACTION randomized controlled trial. JAMA 2009; 301:1439–1540.
- Milani RV, Lavie CJ, Cassidy MM. Effects of cardiac rehabilitation and exercise training programs on depression in patients after major coronary events. Am Heart J 1996; 132:726–732.
- Beniamini Y, Rubenstein JJ, Zaichkowsky LD, Crim MC. Effects of high-intensity strength training on quality-of-life parameters in cardiac rehabilitation patients. Am J Cardiol 1997; 80:841–846.
- Maines TY, Lavie CJ, Milani RV, Cassidy MM, Gilliland YE, Murgo JP. Effects of cardiac rehabilitation and exercise programs on exercise capacity, coronary risk factors, behavior, and quality of life in patients with coronary artery disease. South Med J 1997; 90:43–49.
- Milani RV, Lavie CJ. Prevalence and effects of cardiac rehabilitation on depression in the elderly with coronary heart disease. Am J Cardiol 1998; 81:1233–1236.
- Blumenthal JA, Emery CF, Rejeski WJ. The effects of exercise training on psychosocial functioning after myocardial infarction. J Cardiopulmonary Rehabil 1988; 8:183–193.
- Taylor CB, Houston-Miller N, Ahn DK, Haskell W, DeBusk RF. The effects of exercise training programs on psychosocial improvement in uncomplicated postmyocardial infarction patients. J Psychosom Res 1986; 30:581–587.
- Stern MJ, Gorman PA, Kaslow L. The group counseling v exercise therapy study: a controlled intervention with subjects following myocardial infarction. Arch Intern Med 1983; 143:1719–1725.
- Brosse AL, Sheets ES, Lett HS, Blumenthal JA. Exercise and the treatment of clinical depression in adults: recent findings and future directions. Sports Med 2002; 32:741–760.
- Lawlor DA, Hopker SW. The effectiveness of exercise as an intervention in the management of depression: systematic review and meta-regression analysis of randomised controlled trials. BMJ 2001; 322:763–767.
- Mead GE, Morley W, Campbell P, Greig CA, McMurdo M, Lawlor DA. Exercise for depression. Cochrane Database Syst Rev 2009:CD004366.
- Blumenthal JA, Babyak MA, Carney RM, et al Exercise, depression, and mortality after myocardial infarction in the ENRICHD trial. Med Sci Sports Exerc 2004; 36:746–755.
- Eden J, Wheatley B, McNeil B, Sox H, eds. Institute of Medicine. Knowing What Works in Health Care. A Roadmap for the Nation. Washington DC: National Academics Press; 2009.
- Sox HC, Greenfield S. Comparative effectiveness research: a report from the Institute of Medicine. Ann Intern Med 2009; 151:203–205.
- Hlatky MA, Boothroyd DB, Bravata DM, et al Coronary artery bypass surgery compared with percutaneous coronary interventions for multivessel disease: a collaborative analysis of individual patient data from ten randomised trials. Lancet 2009; 373:1190–1197.
- Blumenthal JA, Babyak MA, Moore KA, et al Effects of exercise training on older patients with major depression. Arch Intern Med 1999; 159:2349–2356.
- Babyak M, Blumenthal JA, Herman S. Exercise treatment for major depression: maintenance of therapeutic benefit at 10 months. Psychosom Med 2000; 62:633–638.
- Blumenthal JA, Babyak MA, Doraiswamy PM, et al Exercise and pharmacotherapy in the treatment of major depressive disorder. Psychosom Med 2007; 69:587–596.
- Hoffman B, Babyak M, Craighead WE, et al Exercise and pharmacotherapy in patients with major depression: one-year follow-up of the SMILE study. Psychosom Med 2010; 73:127–133.
- Dunn AL, Trivedi MH, Kampert JB, Clark CG, Chambliss HO. Exercise treatment for depression: efficacy and dose response. Am J Prev Med 2005; 28:1–8.
- Lichtman JH, Bigger JT, Blumenthal JA, et al Depression and coronary heart disease: recommendations for screening, referral, and treatment: a science advisory from the American Heart Association Prevention Committee of the Council on Cardiovascular Nursing, Council on Clinical Cardiology, Council on Epidemiology and Prevention, and Interdisciplinary Council on Quality of Care and Outcomes Research: endorsed by the American Psychiatric Association. Circulation 2008; 118:1768–1775.
Depression: A shared risk factor for cardiovascular and Alzheimer disease
The associations among depression, cardiovascular disease, and cognitive impairment are well known. Inflammation is increasingly recognized as playing an important role as well. However, the nature of their relationships and which may actually cause the other is not well understood. This article reviews studies over the past year that link depression with dementia and vascular disease. Desirable directions for future work are also explored.
DEPRESSION AND ALZHEIMER DISEASE
Several studies have shown significant correlations between depression and the risk of developing Alzheimer disease; the frequency of depressive episodes appears to be an important factor. Despite the risk relationship, however, depression and Alzheimer disease may not share a common pathology.
No shared pathology
Wilson and colleagues1 analyzed data from the Chicago Health and Aging Project, a longitudinal cohort study of risk factors for Alzheimer disease that involved two groups of people aged 65 years and older; one group was composed of people who developed dementia during the study, while the other group had already developed dementia or had some degree of cognitive impairment. The investigators reasoned that if pathologic changes are common to depression and dementia, then there would be evidence of change in depressive symptoms along with the progression of dementia. They found only a barely perceptible increase in depressive symptoms among people who developed Alzheimer disease and concluded that there is no shared pathology between depression and Alzheimer disease.
Degree of depression signals risk
Depression has been associated with nearly double the risk of developing dementia and Alzheimer disease. Saczynski et al2 evaluated 949 people in the Framingham study, mean age 79 years, using the 60-point Center for Epidemiologic Studies Depression Scale (depression defined as > 16 points). Individuals who had depression at baseline were 1.7 times more likely to develop dementia over the 17-year evaluation period. Results were similar when adjusted for major vascular risk factors (smoking, diabetes, hypertension, and cardiovascular disease). The correlation was slightly lower but still significant when subjects taking antidepressant medications were included in the depressed group.
The study also found a continuous relationship between the level of depression and the likelihood of developing dementia and Alzheimer disease: for every 10-point increase on the depression scale, the risk of developing dementia increased by nearly 50%. This study supports depression as a risk factor for dementia. One could also argue that depression as a simple prodrome to dementia seems unlikely because of the long followup between baseline assessment and the development of dementia.
Multiple episodes of depression increase risk
Dotson et al3 analyzed data from 1,239 older adults from the Baltimore Longitudinal Study of Aging who did not have depression, dementia, or mild cognitive impairment at baseline. Every 1 to 2 years for about 25 years, cognitive status and mood of the subjects were evaluated. About 10% of the participants developed dementia during the course of the study. Of those who developed dementia, 35% had at least one episode of depression; among those who did not develop dementia, only 23% had a depressive episode. Findings were similar when investigators controlled for vascular risks and vascular dementia.
One episode of depression was associated with an 87% increase in risk of dementia; at least two episodes of depression more than doubled the risk (108%). Overall, each episode of depression conferred an additional 14% risk of developing dementia. Among subjects who had had two or more episodes of depression, the median age of developing dementia was 85 years versus 95 years for those without an episode of depression.
This study had the advantages of being prospective for both depression and dementia and of having a long followup period. A dose-effect relationship was observed, with the “dose” being the number of depressive episodes (rather than severity of depression). Because the definition of a depressive episode included subsyndromal depression (not likely to meet the criteria of clinical depression, but still clinically significant), the findings suggest that even minor depression increases the risk of dementia.
Baseline depression predicts cognitive impairment
Rosenberg et al4 found depression to be associated with cognitive impairment in their evaluation of 436 women in their 70s; the women, who were participants in the Women’s Health and Aging Study, were evaluated for up to 9 years. To be included in the evaluation, subjects needed a Mini-Mental State Examination score of at least 24 points (out of 30 possible) and could not be impaired in more than one basic functional capacity: mobility and exercise tolerance, upper extremity, higher functioning (eg, shopping), and basic self-care). Baseline depressive symptoms were measured using the Geriatric Depression Scale.
Cognitive testing included Hopkins Verbal Learning Tests (for immediate and delayed word recall) and Trail Making Tests (for psychomotor speed and executive functioning). Those who were not impaired (ie, having a cognitive test score below the 10th percentile for age-adjusted norms) were followed with up to six examinations over the next 9 years.
Baseline depression was found to be highly associated with incident impairment in all cognitive areas, especially in executive functioning. For every point increase in the depression scale, a 6% to 7% increase was found in the annual risk of impairment in each cognitive domain.
DEPRESSION AND VASCULAR DISEASE LINKED
It is somewhat easier to assess the relationship between depression and vascular disease than between depression and cognitive impairment because of the availability of objective measures of cardiovascular function.
The International Stroke Study (INTERSTROKE),5 a case-control study in 22 countries with 3,000 cases of stroke and 3,000 age-, gender-, and ethnicity-matched controls, found nine risk factors that were correlated with 90% of ischemic stroke cases. Depression, with an odds ratio of 1.86, was found to be a more significant risk factor than physical activity, diet, or heavy drinking.
Paranthaman et al6 evaluated a number of measures of arterial anatomy and function in 25 subjects with depressive disorder and in 21 nondepressed controls (mean age, 72 years). They found that depressed subjects had significantly higher mean carotid intima media thickness, reduced dilation in response to acetyl choline in preconstricted small arteries, and more dilated Virchow-Robin spaces in the basal ganglia observed on magnetic resonance imaging. This study provides evidence that arterial structure and function may mediate the relationship between depression and vascular disease.
FUTURE DIRECTIONS
Future studies into depression as a risk factor should use very well-characterized cohorts that are controlled for blood pressure and other vascular risk factors. Finding biomarkers for depression would be useful, permitting its detection earlier and with more certainty than is now possible. Prospective studies to evaluate the relationship of depression to cognitive impairment and dementia are needed that start earlier than in middle or old age. The key question that needs study is whether treatment of depression can actually change the onset of cognitive impairment, Alzheimer disease, and vascular disease.
- Wilson RS, Hoganson GM, Rajan KB, Barnes LL, Mendes de Leon CF, Evans DA. Temporal course of depressive symptoms during the development of Alzheimer disease. Neurology 2010; 75:21–26.
- Saczynski JS, Beiser A, Seshadri S, Auerbach S, Wolf PA, Au R. Depressive symptoms and risk of dementia: the Framingham Heart Study. Neurology 2010; 75:35–41.
- Dotson VM, Beydoun MA, Zonderman AB. Recurrent depressive symptoms and the incidence of dementia and mild cognitive impairment. Neurology 2010; 75:27–34.
- Rosenberg PB, Mielke MM, Xue QL, Carlson MC. Depressive symptoms predict incident cognitive impairment in cognitive healthy older women. Am J Geriatr Psychiatry 2010; 18:204–211.
- O’Donnell MJ, Xavier D, Liu L, et al; INTERSTROKE investigators. Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study. Lancet 2010; 376:112–123. Epub 2010 Jun 17
- Paranthaman R, Greenstein AS, Burns AS, et al Vascular function in older adults with depressive disorder. Biol Psychiatry 2010; 68:133–139.
The associations among depression, cardiovascular disease, and cognitive impairment are well known. Inflammation is increasingly recognized as playing an important role as well. However, the nature of their relationships and which may actually cause the other is not well understood. This article reviews studies over the past year that link depression with dementia and vascular disease. Desirable directions for future work are also explored.
DEPRESSION AND ALZHEIMER DISEASE
Several studies have shown significant correlations between depression and the risk of developing Alzheimer disease; the frequency of depressive episodes appears to be an important factor. Despite the risk relationship, however, depression and Alzheimer disease may not share a common pathology.
No shared pathology
Wilson and colleagues1 analyzed data from the Chicago Health and Aging Project, a longitudinal cohort study of risk factors for Alzheimer disease that involved two groups of people aged 65 years and older; one group was composed of people who developed dementia during the study, while the other group had already developed dementia or had some degree of cognitive impairment. The investigators reasoned that if pathologic changes are common to depression and dementia, then there would be evidence of change in depressive symptoms along with the progression of dementia. They found only a barely perceptible increase in depressive symptoms among people who developed Alzheimer disease and concluded that there is no shared pathology between depression and Alzheimer disease.
Degree of depression signals risk
Depression has been associated with nearly double the risk of developing dementia and Alzheimer disease. Saczynski et al2 evaluated 949 people in the Framingham study, mean age 79 years, using the 60-point Center for Epidemiologic Studies Depression Scale (depression defined as > 16 points). Individuals who had depression at baseline were 1.7 times more likely to develop dementia over the 17-year evaluation period. Results were similar when adjusted for major vascular risk factors (smoking, diabetes, hypertension, and cardiovascular disease). The correlation was slightly lower but still significant when subjects taking antidepressant medications were included in the depressed group.
The study also found a continuous relationship between the level of depression and the likelihood of developing dementia and Alzheimer disease: for every 10-point increase on the depression scale, the risk of developing dementia increased by nearly 50%. This study supports depression as a risk factor for dementia. One could also argue that depression as a simple prodrome to dementia seems unlikely because of the long followup between baseline assessment and the development of dementia.
Multiple episodes of depression increase risk
Dotson et al3 analyzed data from 1,239 older adults from the Baltimore Longitudinal Study of Aging who did not have depression, dementia, or mild cognitive impairment at baseline. Every 1 to 2 years for about 25 years, cognitive status and mood of the subjects were evaluated. About 10% of the participants developed dementia during the course of the study. Of those who developed dementia, 35% had at least one episode of depression; among those who did not develop dementia, only 23% had a depressive episode. Findings were similar when investigators controlled for vascular risks and vascular dementia.
One episode of depression was associated with an 87% increase in risk of dementia; at least two episodes of depression more than doubled the risk (108%). Overall, each episode of depression conferred an additional 14% risk of developing dementia. Among subjects who had had two or more episodes of depression, the median age of developing dementia was 85 years versus 95 years for those without an episode of depression.
This study had the advantages of being prospective for both depression and dementia and of having a long followup period. A dose-effect relationship was observed, with the “dose” being the number of depressive episodes (rather than severity of depression). Because the definition of a depressive episode included subsyndromal depression (not likely to meet the criteria of clinical depression, but still clinically significant), the findings suggest that even minor depression increases the risk of dementia.
Baseline depression predicts cognitive impairment
Rosenberg et al4 found depression to be associated with cognitive impairment in their evaluation of 436 women in their 70s; the women, who were participants in the Women’s Health and Aging Study, were evaluated for up to 9 years. To be included in the evaluation, subjects needed a Mini-Mental State Examination score of at least 24 points (out of 30 possible) and could not be impaired in more than one basic functional capacity: mobility and exercise tolerance, upper extremity, higher functioning (eg, shopping), and basic self-care). Baseline depressive symptoms were measured using the Geriatric Depression Scale.
Cognitive testing included Hopkins Verbal Learning Tests (for immediate and delayed word recall) and Trail Making Tests (for psychomotor speed and executive functioning). Those who were not impaired (ie, having a cognitive test score below the 10th percentile for age-adjusted norms) were followed with up to six examinations over the next 9 years.
Baseline depression was found to be highly associated with incident impairment in all cognitive areas, especially in executive functioning. For every point increase in the depression scale, a 6% to 7% increase was found in the annual risk of impairment in each cognitive domain.
DEPRESSION AND VASCULAR DISEASE LINKED
It is somewhat easier to assess the relationship between depression and vascular disease than between depression and cognitive impairment because of the availability of objective measures of cardiovascular function.
The International Stroke Study (INTERSTROKE),5 a case-control study in 22 countries with 3,000 cases of stroke and 3,000 age-, gender-, and ethnicity-matched controls, found nine risk factors that were correlated with 90% of ischemic stroke cases. Depression, with an odds ratio of 1.86, was found to be a more significant risk factor than physical activity, diet, or heavy drinking.
Paranthaman et al6 evaluated a number of measures of arterial anatomy and function in 25 subjects with depressive disorder and in 21 nondepressed controls (mean age, 72 years). They found that depressed subjects had significantly higher mean carotid intima media thickness, reduced dilation in response to acetyl choline in preconstricted small arteries, and more dilated Virchow-Robin spaces in the basal ganglia observed on magnetic resonance imaging. This study provides evidence that arterial structure and function may mediate the relationship between depression and vascular disease.
FUTURE DIRECTIONS
Future studies into depression as a risk factor should use very well-characterized cohorts that are controlled for blood pressure and other vascular risk factors. Finding biomarkers for depression would be useful, permitting its detection earlier and with more certainty than is now possible. Prospective studies to evaluate the relationship of depression to cognitive impairment and dementia are needed that start earlier than in middle or old age. The key question that needs study is whether treatment of depression can actually change the onset of cognitive impairment, Alzheimer disease, and vascular disease.
The associations among depression, cardiovascular disease, and cognitive impairment are well known. Inflammation is increasingly recognized as playing an important role as well. However, the nature of their relationships and which may actually cause the other is not well understood. This article reviews studies over the past year that link depression with dementia and vascular disease. Desirable directions for future work are also explored.
DEPRESSION AND ALZHEIMER DISEASE
Several studies have shown significant correlations between depression and the risk of developing Alzheimer disease; the frequency of depressive episodes appears to be an important factor. Despite the risk relationship, however, depression and Alzheimer disease may not share a common pathology.
No shared pathology
Wilson and colleagues1 analyzed data from the Chicago Health and Aging Project, a longitudinal cohort study of risk factors for Alzheimer disease that involved two groups of people aged 65 years and older; one group was composed of people who developed dementia during the study, while the other group had already developed dementia or had some degree of cognitive impairment. The investigators reasoned that if pathologic changes are common to depression and dementia, then there would be evidence of change in depressive symptoms along with the progression of dementia. They found only a barely perceptible increase in depressive symptoms among people who developed Alzheimer disease and concluded that there is no shared pathology between depression and Alzheimer disease.
Degree of depression signals risk
Depression has been associated with nearly double the risk of developing dementia and Alzheimer disease. Saczynski et al2 evaluated 949 people in the Framingham study, mean age 79 years, using the 60-point Center for Epidemiologic Studies Depression Scale (depression defined as > 16 points). Individuals who had depression at baseline were 1.7 times more likely to develop dementia over the 17-year evaluation period. Results were similar when adjusted for major vascular risk factors (smoking, diabetes, hypertension, and cardiovascular disease). The correlation was slightly lower but still significant when subjects taking antidepressant medications were included in the depressed group.
The study also found a continuous relationship between the level of depression and the likelihood of developing dementia and Alzheimer disease: for every 10-point increase on the depression scale, the risk of developing dementia increased by nearly 50%. This study supports depression as a risk factor for dementia. One could also argue that depression as a simple prodrome to dementia seems unlikely because of the long followup between baseline assessment and the development of dementia.
Multiple episodes of depression increase risk
Dotson et al3 analyzed data from 1,239 older adults from the Baltimore Longitudinal Study of Aging who did not have depression, dementia, or mild cognitive impairment at baseline. Every 1 to 2 years for about 25 years, cognitive status and mood of the subjects were evaluated. About 10% of the participants developed dementia during the course of the study. Of those who developed dementia, 35% had at least one episode of depression; among those who did not develop dementia, only 23% had a depressive episode. Findings were similar when investigators controlled for vascular risks and vascular dementia.
One episode of depression was associated with an 87% increase in risk of dementia; at least two episodes of depression more than doubled the risk (108%). Overall, each episode of depression conferred an additional 14% risk of developing dementia. Among subjects who had had two or more episodes of depression, the median age of developing dementia was 85 years versus 95 years for those without an episode of depression.
This study had the advantages of being prospective for both depression and dementia and of having a long followup period. A dose-effect relationship was observed, with the “dose” being the number of depressive episodes (rather than severity of depression). Because the definition of a depressive episode included subsyndromal depression (not likely to meet the criteria of clinical depression, but still clinically significant), the findings suggest that even minor depression increases the risk of dementia.
Baseline depression predicts cognitive impairment
Rosenberg et al4 found depression to be associated with cognitive impairment in their evaluation of 436 women in their 70s; the women, who were participants in the Women’s Health and Aging Study, were evaluated for up to 9 years. To be included in the evaluation, subjects needed a Mini-Mental State Examination score of at least 24 points (out of 30 possible) and could not be impaired in more than one basic functional capacity: mobility and exercise tolerance, upper extremity, higher functioning (eg, shopping), and basic self-care). Baseline depressive symptoms were measured using the Geriatric Depression Scale.
Cognitive testing included Hopkins Verbal Learning Tests (for immediate and delayed word recall) and Trail Making Tests (for psychomotor speed and executive functioning). Those who were not impaired (ie, having a cognitive test score below the 10th percentile for age-adjusted norms) were followed with up to six examinations over the next 9 years.
Baseline depression was found to be highly associated with incident impairment in all cognitive areas, especially in executive functioning. For every point increase in the depression scale, a 6% to 7% increase was found in the annual risk of impairment in each cognitive domain.
DEPRESSION AND VASCULAR DISEASE LINKED
It is somewhat easier to assess the relationship between depression and vascular disease than between depression and cognitive impairment because of the availability of objective measures of cardiovascular function.
The International Stroke Study (INTERSTROKE),5 a case-control study in 22 countries with 3,000 cases of stroke and 3,000 age-, gender-, and ethnicity-matched controls, found nine risk factors that were correlated with 90% of ischemic stroke cases. Depression, with an odds ratio of 1.86, was found to be a more significant risk factor than physical activity, diet, or heavy drinking.
Paranthaman et al6 evaluated a number of measures of arterial anatomy and function in 25 subjects with depressive disorder and in 21 nondepressed controls (mean age, 72 years). They found that depressed subjects had significantly higher mean carotid intima media thickness, reduced dilation in response to acetyl choline in preconstricted small arteries, and more dilated Virchow-Robin spaces in the basal ganglia observed on magnetic resonance imaging. This study provides evidence that arterial structure and function may mediate the relationship between depression and vascular disease.
FUTURE DIRECTIONS
Future studies into depression as a risk factor should use very well-characterized cohorts that are controlled for blood pressure and other vascular risk factors. Finding biomarkers for depression would be useful, permitting its detection earlier and with more certainty than is now possible. Prospective studies to evaluate the relationship of depression to cognitive impairment and dementia are needed that start earlier than in middle or old age. The key question that needs study is whether treatment of depression can actually change the onset of cognitive impairment, Alzheimer disease, and vascular disease.
- Wilson RS, Hoganson GM, Rajan KB, Barnes LL, Mendes de Leon CF, Evans DA. Temporal course of depressive symptoms during the development of Alzheimer disease. Neurology 2010; 75:21–26.
- Saczynski JS, Beiser A, Seshadri S, Auerbach S, Wolf PA, Au R. Depressive symptoms and risk of dementia: the Framingham Heart Study. Neurology 2010; 75:35–41.
- Dotson VM, Beydoun MA, Zonderman AB. Recurrent depressive symptoms and the incidence of dementia and mild cognitive impairment. Neurology 2010; 75:27–34.
- Rosenberg PB, Mielke MM, Xue QL, Carlson MC. Depressive symptoms predict incident cognitive impairment in cognitive healthy older women. Am J Geriatr Psychiatry 2010; 18:204–211.
- O’Donnell MJ, Xavier D, Liu L, et al; INTERSTROKE investigators. Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study. Lancet 2010; 376:112–123. Epub 2010 Jun 17
- Paranthaman R, Greenstein AS, Burns AS, et al Vascular function in older adults with depressive disorder. Biol Psychiatry 2010; 68:133–139.
- Wilson RS, Hoganson GM, Rajan KB, Barnes LL, Mendes de Leon CF, Evans DA. Temporal course of depressive symptoms during the development of Alzheimer disease. Neurology 2010; 75:21–26.
- Saczynski JS, Beiser A, Seshadri S, Auerbach S, Wolf PA, Au R. Depressive symptoms and risk of dementia: the Framingham Heart Study. Neurology 2010; 75:35–41.
- Dotson VM, Beydoun MA, Zonderman AB. Recurrent depressive symptoms and the incidence of dementia and mild cognitive impairment. Neurology 2010; 75:27–34.
- Rosenberg PB, Mielke MM, Xue QL, Carlson MC. Depressive symptoms predict incident cognitive impairment in cognitive healthy older women. Am J Geriatr Psychiatry 2010; 18:204–211.
- O’Donnell MJ, Xavier D, Liu L, et al; INTERSTROKE investigators. Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study. Lancet 2010; 376:112–123. Epub 2010 Jun 17
- Paranthaman R, Greenstein AS, Burns AS, et al Vascular function in older adults with depressive disorder. Biol Psychiatry 2010; 68:133–139.
Inflammatory signaling in Alzheimer disease and depression
The relationships among inflammation, Alzheimer disease, and depression have been the subject of recent research at several centers. Alzheimer disease and depression appear to be linked by several genetic and inflammatory processes, although the exact nature of the relationship is not clearly understood. The two disorders also share risk factors for vascular disease. This article reviews the current state of knowledge about inflammation and its implications for Alzheimer disease and depression, and it presents recent findings from the Texas Alzheimer’s Research Consortium, which assessed an array of inflammatory markers in a cohort of patients with Alzheimer disease.
INFLAMMATION MAY MEDIATE DEPRESSION, COGNITIVE DECLINE, AND DEMENTIA
Alzheimer disease and depression share several vascular disease risk factors and appear to be linked through complex and integrated processes. The link may be mediated by long-term inflammatory processes. Hypothalamic-pituitary-adrenal (HPA) axis dysfunction, chronic inflammation, and a deficit in neurotrophin signaling all may play roles in the pathogenesis of depression and Alzheimer disease.1 Excessive release of glucocorticoids subsequent to HPA-axis dysfunction in chronic depression appears to damage the hippocampus: hippocampal atrophy is a feature in both depression and dementia, and recurrent depression is associated with greater atrophy. The direction of influence—whether depression leads to the factors that increase the risk of Alzheimer disease or the other way around—remains a controversial topic.
Symptoms of depression tend to appear early in Alzheimer disease and increase as dementia progresses to moderate severity. In advanced dementia, depression symptoms tend to decline, although this may reflect the difficulty in assessing depression at advanced stages of dementia.2
Numerous reports have linked inflammation to cognitive dysfunction or decline, as well as to the development of Alzheimer disease.3–5 Evidence suggests that inflammation is a key mediator between cardiovascular risk factors and Alzheimer disease, although this is also still controversial.
FINDINGS FROM THE TEXAS ALZHEIMER’S RESEARCH CONSORTIUM
The Texas Alzheimer’s Research Consortium, composed of five medical centers, is pursuing a longitudinal, multi-institutional study of Alzheimer disease. The group recently published the results of a study assessing whether inflammatory markers were over- or underexpressed in patients with Alzheimer disease, and whether biomarkers could predict Alzheimer disease status and the age at onset of the disease.4 The analysis included 197 patients with Alzheimer disease and 203 control subjects. The evaluation consisted of cognitive assessment, DNA analysis for human genome-wide association studies, and protein microarray analysis from blood. Cardiovascular risk factors were also measured, including serum lipids and blood factors for diabetes risk. The goal was to better understand the pathophysiology of cognitive decline and predict conversion of mild cognitive impairment to Alzheimer disease.
Significant differences were found in the study groups. For example, the median age in the Alzheimer group was significantly higher than in controls (79 vs 70 years, P < .0001), an issue that is being addressed as subjects are replaced due to attrition. The median educational level was higher in the control group (14 vs 16 years, P < .0001) than in the Alzheimer group. Subjects in the Alzheimer group were significantly more likely (P < .001) to carry at least one copy of the APOE ε4 allele.
Inflammation is associated with Alzheimer disease
Degree of inflammation also correlated with Mini-Mental State Examination (MMSE) scores. Subjects with a high inflammatory score had a more accelerated decline in MMSE scores over a 3-year period than those with a low inflammatory score. The association was significant, although not as dramatic as the association between inflammation and age at onset of Alzheimer disease.
The investigators concluded that their findings, while considered preliminary, suggest the existence of an inflammatory endophenotype associated with Alzheimer disease. The findings need to be validated in other populations, including ethnic groups other than Caucasian. The Consortium also will evaluate whether inflammatory biomarkers are associated with progression of mild cognitive impairment to Alzheimer disease.
Inflammation has a mixed association with depression
In a study whose results are not yet published, the Texas Consortium also examined the association between inflammatory markers and depression. Four subscales of depression were used, derived from the Geriatric Depression Scale (GDS) 30: dysphoria (consisting of 11 items), meaninglessness (seven items), apathy and withdrawal (six items), and cognitive impairment (six items).5
The GDS30 results as a whole suggested a trend toward an association between depression and inflammatory biomarkers, but the association was not significant. When the results were examined by subscale, however, striking differences were found between Alzheimer patients and the control group. For example, apathy was significantly associated with the C-reactive protein level, and the assocation was much stronger in patients with Alzheimer disease than in controls. Further, the association of apathy with C-reactive protein level was more significant in women than in men.
Other associations were found between several of the inflammatory and antiinflammatory cytokines and the various subscales; the relationship between inflammatory factors and depression appears to be complex and often gender-specific.
Inflammation-depression link is suggestive, not linear
Despite the relationships suggested by the data, no simple linear relationship was identified to indicate that more inflammation leads to more depression in Alzheimer disease. The relationship between inflammation and depression in Alzheimer disease appears to involve a complex interplay between many physiologic processes.
The effect of inflammation also varies with gender and with cognitive impairment. The mechanism that underlies these relationships remains to be determined and will be the focus of further studies with the Texas Alzheimer’s Research Consortium.
- Caraci F, Copani A, Nicoletti F, Drago F. Depression and Alzheimer’s disease: neurobiological links and common pharmacological targets. Eur J Pharmacol 2010; 626:64–71.
- Amore M, Tagariello P, Laterza C, Savoia EM. Subtypes of depression in dementia. Arch Gerontol Geriatr 2007; 44( suppl 1):23–33.
- O’Bryant SE, Xiao G, Barber R, et al., Texas Alzheimer’s Research Consortium. A serum protein-based algorithm for the detection of Alzheimer disease. Arch Neurol 2010; 67:1077–1081.
- Barber R, Xiao G, O’Bryant S, et al., Texas Alzheimer’s Research Consortium. An inflammatory endophenotype of Alzheimer’s disease. Alzheim Dement 2010; 6( suppl):S530.
- Hall JR, Davis TE. Factor structure of the Geriatric Depression Scale in cognitively impaired older adults. Clin Gerontol 2010; 33:39–48.
The relationships among inflammation, Alzheimer disease, and depression have been the subject of recent research at several centers. Alzheimer disease and depression appear to be linked by several genetic and inflammatory processes, although the exact nature of the relationship is not clearly understood. The two disorders also share risk factors for vascular disease. This article reviews the current state of knowledge about inflammation and its implications for Alzheimer disease and depression, and it presents recent findings from the Texas Alzheimer’s Research Consortium, which assessed an array of inflammatory markers in a cohort of patients with Alzheimer disease.
INFLAMMATION MAY MEDIATE DEPRESSION, COGNITIVE DECLINE, AND DEMENTIA
Alzheimer disease and depression share several vascular disease risk factors and appear to be linked through complex and integrated processes. The link may be mediated by long-term inflammatory processes. Hypothalamic-pituitary-adrenal (HPA) axis dysfunction, chronic inflammation, and a deficit in neurotrophin signaling all may play roles in the pathogenesis of depression and Alzheimer disease.1 Excessive release of glucocorticoids subsequent to HPA-axis dysfunction in chronic depression appears to damage the hippocampus: hippocampal atrophy is a feature in both depression and dementia, and recurrent depression is associated with greater atrophy. The direction of influence—whether depression leads to the factors that increase the risk of Alzheimer disease or the other way around—remains a controversial topic.
Symptoms of depression tend to appear early in Alzheimer disease and increase as dementia progresses to moderate severity. In advanced dementia, depression symptoms tend to decline, although this may reflect the difficulty in assessing depression at advanced stages of dementia.2
Numerous reports have linked inflammation to cognitive dysfunction or decline, as well as to the development of Alzheimer disease.3–5 Evidence suggests that inflammation is a key mediator between cardiovascular risk factors and Alzheimer disease, although this is also still controversial.
FINDINGS FROM THE TEXAS ALZHEIMER’S RESEARCH CONSORTIUM
The Texas Alzheimer’s Research Consortium, composed of five medical centers, is pursuing a longitudinal, multi-institutional study of Alzheimer disease. The group recently published the results of a study assessing whether inflammatory markers were over- or underexpressed in patients with Alzheimer disease, and whether biomarkers could predict Alzheimer disease status and the age at onset of the disease.4 The analysis included 197 patients with Alzheimer disease and 203 control subjects. The evaluation consisted of cognitive assessment, DNA analysis for human genome-wide association studies, and protein microarray analysis from blood. Cardiovascular risk factors were also measured, including serum lipids and blood factors for diabetes risk. The goal was to better understand the pathophysiology of cognitive decline and predict conversion of mild cognitive impairment to Alzheimer disease.
Significant differences were found in the study groups. For example, the median age in the Alzheimer group was significantly higher than in controls (79 vs 70 years, P < .0001), an issue that is being addressed as subjects are replaced due to attrition. The median educational level was higher in the control group (14 vs 16 years, P < .0001) than in the Alzheimer group. Subjects in the Alzheimer group were significantly more likely (P < .001) to carry at least one copy of the APOE ε4 allele.
Inflammation is associated with Alzheimer disease
Degree of inflammation also correlated with Mini-Mental State Examination (MMSE) scores. Subjects with a high inflammatory score had a more accelerated decline in MMSE scores over a 3-year period than those with a low inflammatory score. The association was significant, although not as dramatic as the association between inflammation and age at onset of Alzheimer disease.
The investigators concluded that their findings, while considered preliminary, suggest the existence of an inflammatory endophenotype associated with Alzheimer disease. The findings need to be validated in other populations, including ethnic groups other than Caucasian. The Consortium also will evaluate whether inflammatory biomarkers are associated with progression of mild cognitive impairment to Alzheimer disease.
Inflammation has a mixed association with depression
In a study whose results are not yet published, the Texas Consortium also examined the association between inflammatory markers and depression. Four subscales of depression were used, derived from the Geriatric Depression Scale (GDS) 30: dysphoria (consisting of 11 items), meaninglessness (seven items), apathy and withdrawal (six items), and cognitive impairment (six items).5
The GDS30 results as a whole suggested a trend toward an association between depression and inflammatory biomarkers, but the association was not significant. When the results were examined by subscale, however, striking differences were found between Alzheimer patients and the control group. For example, apathy was significantly associated with the C-reactive protein level, and the assocation was much stronger in patients with Alzheimer disease than in controls. Further, the association of apathy with C-reactive protein level was more significant in women than in men.
Other associations were found between several of the inflammatory and antiinflammatory cytokines and the various subscales; the relationship between inflammatory factors and depression appears to be complex and often gender-specific.
Inflammation-depression link is suggestive, not linear
Despite the relationships suggested by the data, no simple linear relationship was identified to indicate that more inflammation leads to more depression in Alzheimer disease. The relationship between inflammation and depression in Alzheimer disease appears to involve a complex interplay between many physiologic processes.
The effect of inflammation also varies with gender and with cognitive impairment. The mechanism that underlies these relationships remains to be determined and will be the focus of further studies with the Texas Alzheimer’s Research Consortium.
The relationships among inflammation, Alzheimer disease, and depression have been the subject of recent research at several centers. Alzheimer disease and depression appear to be linked by several genetic and inflammatory processes, although the exact nature of the relationship is not clearly understood. The two disorders also share risk factors for vascular disease. This article reviews the current state of knowledge about inflammation and its implications for Alzheimer disease and depression, and it presents recent findings from the Texas Alzheimer’s Research Consortium, which assessed an array of inflammatory markers in a cohort of patients with Alzheimer disease.
INFLAMMATION MAY MEDIATE DEPRESSION, COGNITIVE DECLINE, AND DEMENTIA
Alzheimer disease and depression share several vascular disease risk factors and appear to be linked through complex and integrated processes. The link may be mediated by long-term inflammatory processes. Hypothalamic-pituitary-adrenal (HPA) axis dysfunction, chronic inflammation, and a deficit in neurotrophin signaling all may play roles in the pathogenesis of depression and Alzheimer disease.1 Excessive release of glucocorticoids subsequent to HPA-axis dysfunction in chronic depression appears to damage the hippocampus: hippocampal atrophy is a feature in both depression and dementia, and recurrent depression is associated with greater atrophy. The direction of influence—whether depression leads to the factors that increase the risk of Alzheimer disease or the other way around—remains a controversial topic.
Symptoms of depression tend to appear early in Alzheimer disease and increase as dementia progresses to moderate severity. In advanced dementia, depression symptoms tend to decline, although this may reflect the difficulty in assessing depression at advanced stages of dementia.2
Numerous reports have linked inflammation to cognitive dysfunction or decline, as well as to the development of Alzheimer disease.3–5 Evidence suggests that inflammation is a key mediator between cardiovascular risk factors and Alzheimer disease, although this is also still controversial.
FINDINGS FROM THE TEXAS ALZHEIMER’S RESEARCH CONSORTIUM
The Texas Alzheimer’s Research Consortium, composed of five medical centers, is pursuing a longitudinal, multi-institutional study of Alzheimer disease. The group recently published the results of a study assessing whether inflammatory markers were over- or underexpressed in patients with Alzheimer disease, and whether biomarkers could predict Alzheimer disease status and the age at onset of the disease.4 The analysis included 197 patients with Alzheimer disease and 203 control subjects. The evaluation consisted of cognitive assessment, DNA analysis for human genome-wide association studies, and protein microarray analysis from blood. Cardiovascular risk factors were also measured, including serum lipids and blood factors for diabetes risk. The goal was to better understand the pathophysiology of cognitive decline and predict conversion of mild cognitive impairment to Alzheimer disease.
Significant differences were found in the study groups. For example, the median age in the Alzheimer group was significantly higher than in controls (79 vs 70 years, P < .0001), an issue that is being addressed as subjects are replaced due to attrition. The median educational level was higher in the control group (14 vs 16 years, P < .0001) than in the Alzheimer group. Subjects in the Alzheimer group were significantly more likely (P < .001) to carry at least one copy of the APOE ε4 allele.
Inflammation is associated with Alzheimer disease
Degree of inflammation also correlated with Mini-Mental State Examination (MMSE) scores. Subjects with a high inflammatory score had a more accelerated decline in MMSE scores over a 3-year period than those with a low inflammatory score. The association was significant, although not as dramatic as the association between inflammation and age at onset of Alzheimer disease.
The investigators concluded that their findings, while considered preliminary, suggest the existence of an inflammatory endophenotype associated with Alzheimer disease. The findings need to be validated in other populations, including ethnic groups other than Caucasian. The Consortium also will evaluate whether inflammatory biomarkers are associated with progression of mild cognitive impairment to Alzheimer disease.
Inflammation has a mixed association with depression
In a study whose results are not yet published, the Texas Consortium also examined the association between inflammatory markers and depression. Four subscales of depression were used, derived from the Geriatric Depression Scale (GDS) 30: dysphoria (consisting of 11 items), meaninglessness (seven items), apathy and withdrawal (six items), and cognitive impairment (six items).5
The GDS30 results as a whole suggested a trend toward an association between depression and inflammatory biomarkers, but the association was not significant. When the results were examined by subscale, however, striking differences were found between Alzheimer patients and the control group. For example, apathy was significantly associated with the C-reactive protein level, and the assocation was much stronger in patients with Alzheimer disease than in controls. Further, the association of apathy with C-reactive protein level was more significant in women than in men.
Other associations were found between several of the inflammatory and antiinflammatory cytokines and the various subscales; the relationship between inflammatory factors and depression appears to be complex and often gender-specific.
Inflammation-depression link is suggestive, not linear
Despite the relationships suggested by the data, no simple linear relationship was identified to indicate that more inflammation leads to more depression in Alzheimer disease. The relationship between inflammation and depression in Alzheimer disease appears to involve a complex interplay between many physiologic processes.
The effect of inflammation also varies with gender and with cognitive impairment. The mechanism that underlies these relationships remains to be determined and will be the focus of further studies with the Texas Alzheimer’s Research Consortium.
- Caraci F, Copani A, Nicoletti F, Drago F. Depression and Alzheimer’s disease: neurobiological links and common pharmacological targets. Eur J Pharmacol 2010; 626:64–71.
- Amore M, Tagariello P, Laterza C, Savoia EM. Subtypes of depression in dementia. Arch Gerontol Geriatr 2007; 44( suppl 1):23–33.
- O’Bryant SE, Xiao G, Barber R, et al., Texas Alzheimer’s Research Consortium. A serum protein-based algorithm for the detection of Alzheimer disease. Arch Neurol 2010; 67:1077–1081.
- Barber R, Xiao G, O’Bryant S, et al., Texas Alzheimer’s Research Consortium. An inflammatory endophenotype of Alzheimer’s disease. Alzheim Dement 2010; 6( suppl):S530.
- Hall JR, Davis TE. Factor structure of the Geriatric Depression Scale in cognitively impaired older adults. Clin Gerontol 2010; 33:39–48.
- Caraci F, Copani A, Nicoletti F, Drago F. Depression and Alzheimer’s disease: neurobiological links and common pharmacological targets. Eur J Pharmacol 2010; 626:64–71.
- Amore M, Tagariello P, Laterza C, Savoia EM. Subtypes of depression in dementia. Arch Gerontol Geriatr 2007; 44( suppl 1):23–33.
- O’Bryant SE, Xiao G, Barber R, et al., Texas Alzheimer’s Research Consortium. A serum protein-based algorithm for the detection of Alzheimer disease. Arch Neurol 2010; 67:1077–1081.
- Barber R, Xiao G, O’Bryant S, et al., Texas Alzheimer’s Research Consortium. An inflammatory endophenotype of Alzheimer’s disease. Alzheim Dement 2010; 6( suppl):S530.
- Hall JR, Davis TE. Factor structure of the Geriatric Depression Scale in cognitively impaired older adults. Clin Gerontol 2010; 33:39–48.
Vascular signaling abnormalities in Alzheimer disease
Alzheimer disease (AD) is a progressive, irreversible, neurodegenerative disease that affects more than 5.3 million people in the United States.1 This number is significantly higher than the previous estimate of 4.5 million and is projected to increase sharply to nearly 8 million by 2030.1 At present, the few agents that are approved by the US Food and Drug Administration for treatment of AD have demonstrated only modest effects in modifying clinical symptoms for relatively short periods; none has shown a clear effect on disease progression. New therapeutic approaches are desperately needed.
VASCULAR DISEASE AND ALZHEIMER DISEASE
Although AD is classified as a neurodegenerative dementia, there is epidemiologic and pathologic evidence of an association with vascular risk factors and vascular disease.2–6 Vascular disease appears to lower the threshold for the clinical presentation of dementia at a given level of AD-related pathology.7 The possible association of AD with vascular disease suggests that there are important pathogenic mechanisms common to both AD and vascular disease. For example, there is increasing evidence that perturbations in cerebral vascular structure and function occur in AD.8
It has been suggested that cerebral hypoperfusion/hypoxia triggers hypometabolic, cognitive, and degenerative changes in the brain and contributes to the pathologic processes of AD.9 A study by Roher and colleagues reveals an association between severe circle of Willis atherosclerosis and sporadic AD.10 These observations suggest that atherosclerosis-induced brain hypoperfusion contributes to the clinical and pathologic manifestations of AD.
Hypoxia is also known to stimulate angiogenesis, especially via upregulation of hypoxia-inducible genes such as vascular endothelial growth factor (VEGF).11,12 VEGF, a critical mediator of angiogenesis, is present in the AD brain in the walls of intra-parenchymal vessels, in diffuse perivascular deposits, and in clusters of reactive astrocytes.13 In addition, intrathecal levels of VEGF in AD are related to clinical severity and intrathecal levels of amyloid-beta (Aβ).14 Emerging data support the idea that factors and processes characteristic of angiogenesis are found in the AD brain.15,16
ENDOTHELIAL ACTIVATION AND ANGIOGENESIS
The angiogenic process is complex and involves several discrete steps, such as endothelial activation, extracellular matrix degradation, proliferation and migration of endothelial cells, and morphologic differentiation of endothelial cells to form tubes. Stimuli known to initiate angiogenesis, including hypoxia, inflammation, and mechanical factors such as shear stress and stretch,23 either directly or indirectly activate endothelial cells. Activated endothelial cells elaborate adhesion molecules, cytokines and chemokines, growth factors, vasoactive molecules, major histocompatibility complex molecules, procoagulant and anticoagulant moieties, and a variety of other gene products with biologic activity.24 The activated endothelium exerts direct local effects by producing at least 20 paracrine factors that act on adjacent cells.25
ANGIOGENIC SIGNALING MECHANISMS IN BRAIN MICROVESSELS
Signaling mechanisms that have been identified as important to endothelial cell viability and angiogenesis include PI3K/Akt, p38 kinase, ERK, and JNK. In this regard, intracellular Aβ accumulation is toxic to endothelial cells and decreases PI3K/Akt.26 Extracellular Aβ peptides decrease phosphorylation and thus activation of ERK and p38 kinase.26 VEGF promotes endothelial survival, proliferation, and migration through numerous pathways, including activation of ERK, p38 kinase, JNK, and Rho GTPase family members.23
VASCULAR ACTIVATION IN ALZHEIMER DISEASE
Despite increases in several proangiogenic factors in the AD brain, evidence for increased vascularity in AD is lacking. On the contrary, it has been suggested that the angiogenic process is delayed or impaired in aged tissues, with several studies showing decreased microvascular density in the AD brain.30–33 Paris et al showed that wild-type Aβ peptides have antiangiogenic effects in vitro and in vivo.34
How can the data showing antiangiogenic effects of Aβ be reconciled with the presence or expression of a large number of proangiogenic proteins by brain microvessels in AD? These conflicting observations suggest an imbalance between proangiogenic and antiangiogeneic processes in the AD brain.
Preliminary experiments in our laboratory show that pharmacologic blockade of vascular activation improves cognitive function in an animal model of AD. Thus, “vascular activation” could be a novel, unexplored therapeutic target in AD.
Acknowledgment
The authors gratefully acknowledge the secretarial assistance of Terri Stahl.
- 2010 Alzheimer’s facts and figures. Alzheimer’s Association Web site. http://www.alz.org/alzheimers_disease_facts_and_figures.asp. Updated January 5, 2011. Accessed February 10, 2011.
- Stewart R, Prince M, Mann A. Vascular risk factors and Alzheimer’s disease. Aust N Z J Psychiatry 1999; 33:809–813.
- Schmidt R, Schmidt H, Fasekas F. Vascular risk factors in dementia. J Neurol 2000; 247:81–87.
- Shi J, Perry G, Smith MA, Friedland RP. Vascular abnormalities: the insidious pathogenesis of Alzheimer’s disease. Neurobiol Aging 2000; 21:357–361.
- Pansari K, Gupta A, Thomas P. Alzheimer’s disease and vascular factors: facts and theories. Int J Clin Pract 2002; 56:197–203.
- de la Torre JC. Alzheimer disease as a vascular disorder: nosological evidence. Stroke 2002; 33:1152–1162.
- Sadowski M, Pankiewicz J, Scholtzova H, et al Links between the pathology of Alzheimer’s disease and vascular dementia. Neurochem Res 2004; 29:1257–1266.
- Grammas P. A damaged microcirculation contributes to neuronal cell death in Alzheimer’s disease. Neurobiol Aging 2000; 21:199–205.
- de la Torre JC, Stefano GB. Evidence that Alzheimer’s disease is a microvascular disorder: the role of constitutive nitric oxide. Brain Res Rev 2000; 34:119–136.
- Roher AE, Esh C, Kokjohn TA, et al Circle of Willis atherosclerosis is a risk factor for sporadic Alzheimer’s disease. Arterioscler Thromb Vasc Biol 2003; 23:2055–2062.
- Pugh CW, Ratcliffe PJ. Regulation of angiogenesis by hypoxia: role of the HIF system. Nat Med 2003; 9:677–684.
- Yamakawa M, Liu LX, Date T, et al Hypoxia-inducible factor-1 mediates activation of cultured vascular endothelial cells by inducing multiple angiogenic factors. Circ Res 2003; 93:664–673.
- Kalaria RN, Cohen DL, Premkumar DR, Nag S, LaManna JC, Lust WD. Vascular endothelial growth factor in Alzheimer’s disease and experimental ischemia. Brain Res Mol Brain Res 1998; 62:101–105.
- Tarkowski E, Issa R, Sjogren M, et al Increased intrathecal levels of the angiogenic factors VEGF and TGF-beta in Alzheimer’s disease and vascular dementia. Neurobiol Aging 2002; 23:237–243.
- Vagnucci AH, Li W. Alzheimer’s disease and angiogenesis. Lancet 2003; 361:605–608.
- Pogue AI, Lukiw WJ. Angiogenic signaling in Alzheimer’s disease. Neuroreport 2004; 15:1507–1510.
- Dorheim NA, Tracey WR, Pollock JS, Grammas P. Nitric oxide synthase activity is elevated in brain microvessels in Alzheimer’s disease. Biochem Biophys Res Commun 1994; 30:659–665.
- Grammas P, Ovase R. Inflammatory factors are elevated in brain microvessels in Alzheimer’s disease. Neurobiol Aging 2001; 22:837–842.
- Grammas P, Ovase R. Cerebrovascular TGF-β contributes to inflammation in the Alzheimer’s brain. Am J Pathol 2002; 160:1583–1587.
- Grammas P, Ghatreh-Samany P, Thirmangalakudi L. Thrombin and inflammatory proteins are elevated in Alzheimer’s disease microvessels: implications for disease pathogenesis. J Alz Dis 2006; 9:51–58.
- Thirumangakudi L, Ghatreh-Samany P, Owoso A, Grammas P. Angiogenic proteins are expressed by brain blood vessels in Alzheimer’s disease. J Alz Dis 2006; 10:111–118.
- Yin X, Wright J, Wall T, Grammas P. Brain endothelial cells synthesize neurotoxic thrombin in Alzheimer’s disease. Am J Pathol 2010; 176:1600–1606.
- Milkiewicz M, Ispanovic E, Doyle JL, Haas TL. Regulators of angiogenesis and strategies for their therapeutic manipulation. Int J Biochem Cell Biol 2006; 38:333–357.
- Felmeden DC, Blann AD, Lip GYH. Angiogenesis: basic pathophysiology and implications for disease. Eur Heart J 2003; 24:586–603.
- Gimbrone MA, Topper JN, Nagel T, Anderson KR, Garcia-Cardeña G. Endothelial dysfunction, hemodynamic forces, and atherogenesis. Ann NY Acad Sci 2000; 902:230–240.
- Magrane J, Christensen RA, Rosen KM, Veereshwarayya V, Querfurth HW. Dissociation of ERK and Akt signaling in endothelial cell angiogenic responses to beta-amyloid. Exp Cell Res 2006; 312:996–1010.
- Wu Z, Guo H, Chow N, et al Role of the MEOX2 gene in neurovascular dysfunction in Alzheimer disease. Nat Med 2005; 11:959–965.
- Gorski DH, Leal AJ. Inhibition of endothelial cell activation by the homeobox gene Gax. J Surg Res 2003; 111:91–99.
- Patel S, Leal AD, Gorski DH. The homeobox gene Gax inhibits angiogenesis through inhibition of nuclear factor-kappaB-dependent endothelial cell gene expression. Cancer Res 2005; 65:1414–1424.
- Edelber JM, Reed MJ. Aging and angiogenesis. Front Biosci 2003; 8:s1199–s1209.
- Buee L, Hof PR, Bouras C, et al Pathological alterations of the cerebral microvasculature in Alzheimer’s disease and related dementing disorders. Acta Neuropathol 1994; 87:469–480.
- Buee L, Hof PR, Delacourte A. Brain microvascular changes in Alzheimer’s disease and other dementias. Ann NY Acad Sci 1997; 826:7–24.
- Jellinger KA. Alzheimer disease and cerebrovascular pathology: an update. J Neural Transm 2002; 109:813–836.
- Paris D, Townsend K, Quadros A, et al Inhibition of angiogenesis by Aβ peptides. Angiogenesis 2004; 7:75–85.
Alzheimer disease (AD) is a progressive, irreversible, neurodegenerative disease that affects more than 5.3 million people in the United States.1 This number is significantly higher than the previous estimate of 4.5 million and is projected to increase sharply to nearly 8 million by 2030.1 At present, the few agents that are approved by the US Food and Drug Administration for treatment of AD have demonstrated only modest effects in modifying clinical symptoms for relatively short periods; none has shown a clear effect on disease progression. New therapeutic approaches are desperately needed.
VASCULAR DISEASE AND ALZHEIMER DISEASE
Although AD is classified as a neurodegenerative dementia, there is epidemiologic and pathologic evidence of an association with vascular risk factors and vascular disease.2–6 Vascular disease appears to lower the threshold for the clinical presentation of dementia at a given level of AD-related pathology.7 The possible association of AD with vascular disease suggests that there are important pathogenic mechanisms common to both AD and vascular disease. For example, there is increasing evidence that perturbations in cerebral vascular structure and function occur in AD.8
It has been suggested that cerebral hypoperfusion/hypoxia triggers hypometabolic, cognitive, and degenerative changes in the brain and contributes to the pathologic processes of AD.9 A study by Roher and colleagues reveals an association between severe circle of Willis atherosclerosis and sporadic AD.10 These observations suggest that atherosclerosis-induced brain hypoperfusion contributes to the clinical and pathologic manifestations of AD.
Hypoxia is also known to stimulate angiogenesis, especially via upregulation of hypoxia-inducible genes such as vascular endothelial growth factor (VEGF).11,12 VEGF, a critical mediator of angiogenesis, is present in the AD brain in the walls of intra-parenchymal vessels, in diffuse perivascular deposits, and in clusters of reactive astrocytes.13 In addition, intrathecal levels of VEGF in AD are related to clinical severity and intrathecal levels of amyloid-beta (Aβ).14 Emerging data support the idea that factors and processes characteristic of angiogenesis are found in the AD brain.15,16
ENDOTHELIAL ACTIVATION AND ANGIOGENESIS
The angiogenic process is complex and involves several discrete steps, such as endothelial activation, extracellular matrix degradation, proliferation and migration of endothelial cells, and morphologic differentiation of endothelial cells to form tubes. Stimuli known to initiate angiogenesis, including hypoxia, inflammation, and mechanical factors such as shear stress and stretch,23 either directly or indirectly activate endothelial cells. Activated endothelial cells elaborate adhesion molecules, cytokines and chemokines, growth factors, vasoactive molecules, major histocompatibility complex molecules, procoagulant and anticoagulant moieties, and a variety of other gene products with biologic activity.24 The activated endothelium exerts direct local effects by producing at least 20 paracrine factors that act on adjacent cells.25
ANGIOGENIC SIGNALING MECHANISMS IN BRAIN MICROVESSELS
Signaling mechanisms that have been identified as important to endothelial cell viability and angiogenesis include PI3K/Akt, p38 kinase, ERK, and JNK. In this regard, intracellular Aβ accumulation is toxic to endothelial cells and decreases PI3K/Akt.26 Extracellular Aβ peptides decrease phosphorylation and thus activation of ERK and p38 kinase.26 VEGF promotes endothelial survival, proliferation, and migration through numerous pathways, including activation of ERK, p38 kinase, JNK, and Rho GTPase family members.23
VASCULAR ACTIVATION IN ALZHEIMER DISEASE
Despite increases in several proangiogenic factors in the AD brain, evidence for increased vascularity in AD is lacking. On the contrary, it has been suggested that the angiogenic process is delayed or impaired in aged tissues, with several studies showing decreased microvascular density in the AD brain.30–33 Paris et al showed that wild-type Aβ peptides have antiangiogenic effects in vitro and in vivo.34
How can the data showing antiangiogenic effects of Aβ be reconciled with the presence or expression of a large number of proangiogenic proteins by brain microvessels in AD? These conflicting observations suggest an imbalance between proangiogenic and antiangiogeneic processes in the AD brain.
Preliminary experiments in our laboratory show that pharmacologic blockade of vascular activation improves cognitive function in an animal model of AD. Thus, “vascular activation” could be a novel, unexplored therapeutic target in AD.
Acknowledgment
The authors gratefully acknowledge the secretarial assistance of Terri Stahl.
Alzheimer disease (AD) is a progressive, irreversible, neurodegenerative disease that affects more than 5.3 million people in the United States.1 This number is significantly higher than the previous estimate of 4.5 million and is projected to increase sharply to nearly 8 million by 2030.1 At present, the few agents that are approved by the US Food and Drug Administration for treatment of AD have demonstrated only modest effects in modifying clinical symptoms for relatively short periods; none has shown a clear effect on disease progression. New therapeutic approaches are desperately needed.
VASCULAR DISEASE AND ALZHEIMER DISEASE
Although AD is classified as a neurodegenerative dementia, there is epidemiologic and pathologic evidence of an association with vascular risk factors and vascular disease.2–6 Vascular disease appears to lower the threshold for the clinical presentation of dementia at a given level of AD-related pathology.7 The possible association of AD with vascular disease suggests that there are important pathogenic mechanisms common to both AD and vascular disease. For example, there is increasing evidence that perturbations in cerebral vascular structure and function occur in AD.8
It has been suggested that cerebral hypoperfusion/hypoxia triggers hypometabolic, cognitive, and degenerative changes in the brain and contributes to the pathologic processes of AD.9 A study by Roher and colleagues reveals an association between severe circle of Willis atherosclerosis and sporadic AD.10 These observations suggest that atherosclerosis-induced brain hypoperfusion contributes to the clinical and pathologic manifestations of AD.
Hypoxia is also known to stimulate angiogenesis, especially via upregulation of hypoxia-inducible genes such as vascular endothelial growth factor (VEGF).11,12 VEGF, a critical mediator of angiogenesis, is present in the AD brain in the walls of intra-parenchymal vessels, in diffuse perivascular deposits, and in clusters of reactive astrocytes.13 In addition, intrathecal levels of VEGF in AD are related to clinical severity and intrathecal levels of amyloid-beta (Aβ).14 Emerging data support the idea that factors and processes characteristic of angiogenesis are found in the AD brain.15,16
ENDOTHELIAL ACTIVATION AND ANGIOGENESIS
The angiogenic process is complex and involves several discrete steps, such as endothelial activation, extracellular matrix degradation, proliferation and migration of endothelial cells, and morphologic differentiation of endothelial cells to form tubes. Stimuli known to initiate angiogenesis, including hypoxia, inflammation, and mechanical factors such as shear stress and stretch,23 either directly or indirectly activate endothelial cells. Activated endothelial cells elaborate adhesion molecules, cytokines and chemokines, growth factors, vasoactive molecules, major histocompatibility complex molecules, procoagulant and anticoagulant moieties, and a variety of other gene products with biologic activity.24 The activated endothelium exerts direct local effects by producing at least 20 paracrine factors that act on adjacent cells.25
ANGIOGENIC SIGNALING MECHANISMS IN BRAIN MICROVESSELS
Signaling mechanisms that have been identified as important to endothelial cell viability and angiogenesis include PI3K/Akt, p38 kinase, ERK, and JNK. In this regard, intracellular Aβ accumulation is toxic to endothelial cells and decreases PI3K/Akt.26 Extracellular Aβ peptides decrease phosphorylation and thus activation of ERK and p38 kinase.26 VEGF promotes endothelial survival, proliferation, and migration through numerous pathways, including activation of ERK, p38 kinase, JNK, and Rho GTPase family members.23
VASCULAR ACTIVATION IN ALZHEIMER DISEASE
Despite increases in several proangiogenic factors in the AD brain, evidence for increased vascularity in AD is lacking. On the contrary, it has been suggested that the angiogenic process is delayed or impaired in aged tissues, with several studies showing decreased microvascular density in the AD brain.30–33 Paris et al showed that wild-type Aβ peptides have antiangiogenic effects in vitro and in vivo.34
How can the data showing antiangiogenic effects of Aβ be reconciled with the presence or expression of a large number of proangiogenic proteins by brain microvessels in AD? These conflicting observations suggest an imbalance between proangiogenic and antiangiogeneic processes in the AD brain.
Preliminary experiments in our laboratory show that pharmacologic blockade of vascular activation improves cognitive function in an animal model of AD. Thus, “vascular activation” could be a novel, unexplored therapeutic target in AD.
Acknowledgment
The authors gratefully acknowledge the secretarial assistance of Terri Stahl.
- 2010 Alzheimer’s facts and figures. Alzheimer’s Association Web site. http://www.alz.org/alzheimers_disease_facts_and_figures.asp. Updated January 5, 2011. Accessed February 10, 2011.
- Stewart R, Prince M, Mann A. Vascular risk factors and Alzheimer’s disease. Aust N Z J Psychiatry 1999; 33:809–813.
- Schmidt R, Schmidt H, Fasekas F. Vascular risk factors in dementia. J Neurol 2000; 247:81–87.
- Shi J, Perry G, Smith MA, Friedland RP. Vascular abnormalities: the insidious pathogenesis of Alzheimer’s disease. Neurobiol Aging 2000; 21:357–361.
- Pansari K, Gupta A, Thomas P. Alzheimer’s disease and vascular factors: facts and theories. Int J Clin Pract 2002; 56:197–203.
- de la Torre JC. Alzheimer disease as a vascular disorder: nosological evidence. Stroke 2002; 33:1152–1162.
- Sadowski M, Pankiewicz J, Scholtzova H, et al Links between the pathology of Alzheimer’s disease and vascular dementia. Neurochem Res 2004; 29:1257–1266.
- Grammas P. A damaged microcirculation contributes to neuronal cell death in Alzheimer’s disease. Neurobiol Aging 2000; 21:199–205.
- de la Torre JC, Stefano GB. Evidence that Alzheimer’s disease is a microvascular disorder: the role of constitutive nitric oxide. Brain Res Rev 2000; 34:119–136.
- Roher AE, Esh C, Kokjohn TA, et al Circle of Willis atherosclerosis is a risk factor for sporadic Alzheimer’s disease. Arterioscler Thromb Vasc Biol 2003; 23:2055–2062.
- Pugh CW, Ratcliffe PJ. Regulation of angiogenesis by hypoxia: role of the HIF system. Nat Med 2003; 9:677–684.
- Yamakawa M, Liu LX, Date T, et al Hypoxia-inducible factor-1 mediates activation of cultured vascular endothelial cells by inducing multiple angiogenic factors. Circ Res 2003; 93:664–673.
- Kalaria RN, Cohen DL, Premkumar DR, Nag S, LaManna JC, Lust WD. Vascular endothelial growth factor in Alzheimer’s disease and experimental ischemia. Brain Res Mol Brain Res 1998; 62:101–105.
- Tarkowski E, Issa R, Sjogren M, et al Increased intrathecal levels of the angiogenic factors VEGF and TGF-beta in Alzheimer’s disease and vascular dementia. Neurobiol Aging 2002; 23:237–243.
- Vagnucci AH, Li W. Alzheimer’s disease and angiogenesis. Lancet 2003; 361:605–608.
- Pogue AI, Lukiw WJ. Angiogenic signaling in Alzheimer’s disease. Neuroreport 2004; 15:1507–1510.
- Dorheim NA, Tracey WR, Pollock JS, Grammas P. Nitric oxide synthase activity is elevated in brain microvessels in Alzheimer’s disease. Biochem Biophys Res Commun 1994; 30:659–665.
- Grammas P, Ovase R. Inflammatory factors are elevated in brain microvessels in Alzheimer’s disease. Neurobiol Aging 2001; 22:837–842.
- Grammas P, Ovase R. Cerebrovascular TGF-β contributes to inflammation in the Alzheimer’s brain. Am J Pathol 2002; 160:1583–1587.
- Grammas P, Ghatreh-Samany P, Thirmangalakudi L. Thrombin and inflammatory proteins are elevated in Alzheimer’s disease microvessels: implications for disease pathogenesis. J Alz Dis 2006; 9:51–58.
- Thirumangakudi L, Ghatreh-Samany P, Owoso A, Grammas P. Angiogenic proteins are expressed by brain blood vessels in Alzheimer’s disease. J Alz Dis 2006; 10:111–118.
- Yin X, Wright J, Wall T, Grammas P. Brain endothelial cells synthesize neurotoxic thrombin in Alzheimer’s disease. Am J Pathol 2010; 176:1600–1606.
- Milkiewicz M, Ispanovic E, Doyle JL, Haas TL. Regulators of angiogenesis and strategies for their therapeutic manipulation. Int J Biochem Cell Biol 2006; 38:333–357.
- Felmeden DC, Blann AD, Lip GYH. Angiogenesis: basic pathophysiology and implications for disease. Eur Heart J 2003; 24:586–603.
- Gimbrone MA, Topper JN, Nagel T, Anderson KR, Garcia-Cardeña G. Endothelial dysfunction, hemodynamic forces, and atherogenesis. Ann NY Acad Sci 2000; 902:230–240.
- Magrane J, Christensen RA, Rosen KM, Veereshwarayya V, Querfurth HW. Dissociation of ERK and Akt signaling in endothelial cell angiogenic responses to beta-amyloid. Exp Cell Res 2006; 312:996–1010.
- Wu Z, Guo H, Chow N, et al Role of the MEOX2 gene in neurovascular dysfunction in Alzheimer disease. Nat Med 2005; 11:959–965.
- Gorski DH, Leal AJ. Inhibition of endothelial cell activation by the homeobox gene Gax. J Surg Res 2003; 111:91–99.
- Patel S, Leal AD, Gorski DH. The homeobox gene Gax inhibits angiogenesis through inhibition of nuclear factor-kappaB-dependent endothelial cell gene expression. Cancer Res 2005; 65:1414–1424.
- Edelber JM, Reed MJ. Aging and angiogenesis. Front Biosci 2003; 8:s1199–s1209.
- Buee L, Hof PR, Bouras C, et al Pathological alterations of the cerebral microvasculature in Alzheimer’s disease and related dementing disorders. Acta Neuropathol 1994; 87:469–480.
- Buee L, Hof PR, Delacourte A. Brain microvascular changes in Alzheimer’s disease and other dementias. Ann NY Acad Sci 1997; 826:7–24.
- Jellinger KA. Alzheimer disease and cerebrovascular pathology: an update. J Neural Transm 2002; 109:813–836.
- Paris D, Townsend K, Quadros A, et al Inhibition of angiogenesis by Aβ peptides. Angiogenesis 2004; 7:75–85.
- 2010 Alzheimer’s facts and figures. Alzheimer’s Association Web site. http://www.alz.org/alzheimers_disease_facts_and_figures.asp. Updated January 5, 2011. Accessed February 10, 2011.
- Stewart R, Prince M, Mann A. Vascular risk factors and Alzheimer’s disease. Aust N Z J Psychiatry 1999; 33:809–813.
- Schmidt R, Schmidt H, Fasekas F. Vascular risk factors in dementia. J Neurol 2000; 247:81–87.
- Shi J, Perry G, Smith MA, Friedland RP. Vascular abnormalities: the insidious pathogenesis of Alzheimer’s disease. Neurobiol Aging 2000; 21:357–361.
- Pansari K, Gupta A, Thomas P. Alzheimer’s disease and vascular factors: facts and theories. Int J Clin Pract 2002; 56:197–203.
- de la Torre JC. Alzheimer disease as a vascular disorder: nosological evidence. Stroke 2002; 33:1152–1162.
- Sadowski M, Pankiewicz J, Scholtzova H, et al Links between the pathology of Alzheimer’s disease and vascular dementia. Neurochem Res 2004; 29:1257–1266.
- Grammas P. A damaged microcirculation contributes to neuronal cell death in Alzheimer’s disease. Neurobiol Aging 2000; 21:199–205.
- de la Torre JC, Stefano GB. Evidence that Alzheimer’s disease is a microvascular disorder: the role of constitutive nitric oxide. Brain Res Rev 2000; 34:119–136.
- Roher AE, Esh C, Kokjohn TA, et al Circle of Willis atherosclerosis is a risk factor for sporadic Alzheimer’s disease. Arterioscler Thromb Vasc Biol 2003; 23:2055–2062.
- Pugh CW, Ratcliffe PJ. Regulation of angiogenesis by hypoxia: role of the HIF system. Nat Med 2003; 9:677–684.
- Yamakawa M, Liu LX, Date T, et al Hypoxia-inducible factor-1 mediates activation of cultured vascular endothelial cells by inducing multiple angiogenic factors. Circ Res 2003; 93:664–673.
- Kalaria RN, Cohen DL, Premkumar DR, Nag S, LaManna JC, Lust WD. Vascular endothelial growth factor in Alzheimer’s disease and experimental ischemia. Brain Res Mol Brain Res 1998; 62:101–105.
- Tarkowski E, Issa R, Sjogren M, et al Increased intrathecal levels of the angiogenic factors VEGF and TGF-beta in Alzheimer’s disease and vascular dementia. Neurobiol Aging 2002; 23:237–243.
- Vagnucci AH, Li W. Alzheimer’s disease and angiogenesis. Lancet 2003; 361:605–608.
- Pogue AI, Lukiw WJ. Angiogenic signaling in Alzheimer’s disease. Neuroreport 2004; 15:1507–1510.
- Dorheim NA, Tracey WR, Pollock JS, Grammas P. Nitric oxide synthase activity is elevated in brain microvessels in Alzheimer’s disease. Biochem Biophys Res Commun 1994; 30:659–665.
- Grammas P, Ovase R. Inflammatory factors are elevated in brain microvessels in Alzheimer’s disease. Neurobiol Aging 2001; 22:837–842.
- Grammas P, Ovase R. Cerebrovascular TGF-β contributes to inflammation in the Alzheimer’s brain. Am J Pathol 2002; 160:1583–1587.
- Grammas P, Ghatreh-Samany P, Thirmangalakudi L. Thrombin and inflammatory proteins are elevated in Alzheimer’s disease microvessels: implications for disease pathogenesis. J Alz Dis 2006; 9:51–58.
- Thirumangakudi L, Ghatreh-Samany P, Owoso A, Grammas P. Angiogenic proteins are expressed by brain blood vessels in Alzheimer’s disease. J Alz Dis 2006; 10:111–118.
- Yin X, Wright J, Wall T, Grammas P. Brain endothelial cells synthesize neurotoxic thrombin in Alzheimer’s disease. Am J Pathol 2010; 176:1600–1606.
- Milkiewicz M, Ispanovic E, Doyle JL, Haas TL. Regulators of angiogenesis and strategies for their therapeutic manipulation. Int J Biochem Cell Biol 2006; 38:333–357.
- Felmeden DC, Blann AD, Lip GYH. Angiogenesis: basic pathophysiology and implications for disease. Eur Heart J 2003; 24:586–603.
- Gimbrone MA, Topper JN, Nagel T, Anderson KR, Garcia-Cardeña G. Endothelial dysfunction, hemodynamic forces, and atherogenesis. Ann NY Acad Sci 2000; 902:230–240.
- Magrane J, Christensen RA, Rosen KM, Veereshwarayya V, Querfurth HW. Dissociation of ERK and Akt signaling in endothelial cell angiogenic responses to beta-amyloid. Exp Cell Res 2006; 312:996–1010.
- Wu Z, Guo H, Chow N, et al Role of the MEOX2 gene in neurovascular dysfunction in Alzheimer disease. Nat Med 2005; 11:959–965.
- Gorski DH, Leal AJ. Inhibition of endothelial cell activation by the homeobox gene Gax. J Surg Res 2003; 111:91–99.
- Patel S, Leal AD, Gorski DH. The homeobox gene Gax inhibits angiogenesis through inhibition of nuclear factor-kappaB-dependent endothelial cell gene expression. Cancer Res 2005; 65:1414–1424.
- Edelber JM, Reed MJ. Aging and angiogenesis. Front Biosci 2003; 8:s1199–s1209.
- Buee L, Hof PR, Bouras C, et al Pathological alterations of the cerebral microvasculature in Alzheimer’s disease and related dementing disorders. Acta Neuropathol 1994; 87:469–480.
- Buee L, Hof PR, Delacourte A. Brain microvascular changes in Alzheimer’s disease and other dementias. Ann NY Acad Sci 1997; 826:7–24.
- Jellinger KA. Alzheimer disease and cerebrovascular pathology: an update. J Neural Transm 2002; 109:813–836.
- Paris D, Townsend K, Quadros A, et al Inhibition of angiogenesis by Aβ peptides. Angiogenesis 2004; 7:75–85.
Stress in medicine: Strategies for caregivers, patients, clinicians—The burdens of caregiver stress
The number of people in the United States who spend a significant part of each week working as unpaid caregivers is considerable, and the toll exacted for such work is high. Understanding the profi le of the caregiver, the nature of the duties performed, the stress imposed by such duties, and the consequences of the stress can assist the clinician in recognizing the caregiver in need of intervention.
A PROFILE OF THE CAREGIVER
A recent survey estimated that more than 65 million Americans provide unpaid assistance annually to older adults with disabilities.1 The value of that labor has been estimated at $306 billion annually, or nearly double the combined cost of home health care and nursing home care.2,3
The typical caregiver is a woman, about 48 years old, with some college education, who spends 20 hours or more each week providing unpaid care to someone aged 50 years or older.1 The recipients of care often have long-term physical disabilities; mental confusion or emotional problems frequently complicate care.
PSYCHOLOGIC AND PHYSICAL COSTS
Caregiving may take a toll on the caregiver in a variety of ways: behavioral, in the form of alcohol or substance use4; psychologic, in the form of depression or other mental health problems5; and physical, in the form of chronic health conditions and impaired immune response.6 About three-fifths of caregivers report fair or poor health, compared with one-third of noncaregivers, and caregivers have approximately twice as many chronic conditions, such as heart disease, cancer, arthritis, and diabetes, compared with noncaregivers.2,7 Caregiving also exacts a financial toll, as employees who are caregivers cost their employers $13.4 billion more per year in health care expenditures.8 In addition, absenteeism, workday interruptions, and shifts from full-time to part-time work by caregivers cost businesses between $17.1 and $33.6 billion per year.9
The cost of caregiving is higher for women, who exhibit higher levels of anxiety and depression and lower levels of subjective well-being, life satisfaction, and physical health.10,11 The stress of caregiving has also been identified as a risk factor for morbidity among older (66 to 96 years old) caregivers, who have a 63% greater mortality than noncaregivers of the same age.12
PSYCHOSOCIAL STRESS, UNHEALTHY BEHAVIORS, AND ILLNESS ARE LINKED
Psychosocial stress is a predictor of disease and can lead to unhealthy behaviors such as smoking, substance abuse, overeating, poor nutrition, and a sedentary lifestyle; these, in turn, can lead to physical and psychiatric illness. Behaviors adopted initially as coping skills may persist to become chronic, thereby promoting either continued wellness (in the case of healthy coping behaviors) or worsening levels of illness (in the case of unhealthy coping behaviors).
McEwen and Gianaros13 have suggested that these stress mechanisms arise from patterns of communication between the brain and the autonomic, cardiovascular, and immune systems, which mutually influenceone another. These so-called bidirectional stress processes affect cognition, experience, and behavior.
An integrated model of stress that maps the bidirectional causal pathways among psychosocial stressors, resulting unhealthy behaviors, and illness is needed. Although the steps from unhealthy behaviors to illness are fairly well understood, the links from psychosocial stress, such as those exhibited by caregivers, to unhealthy behaviors are not as clear. Several mediators are under study:
- Personality mediators can be either ameliorative (resilience, self-confi dence, self-control, optimism, high self-esteem, a sense of mastery, and finding meaning in life) or exacerbating (neuroticism and inhibition, which together form the so-called type D personality).
- Environmental mediators include social support, financial support, a history of a significant life change, and trauma early in life, which may increase one’s subsequent vulnerability to unhealthy behaviors.
- Biologic mediators may include prolonged sympathetic activation and enhanced platelet activation, caused by increased levels of depression and anxiety in chronically stressed caregivers.14
IMPLICATIONS FOR INTERVENTION
A significant percentage of caregivers do not need a clinician’s intervention to help them cope with stress or unhealthy coping skills. Among caregivers aged 50 years or older, 47% indicated in a recent study that the burden of caregiving is low (ie, 1 or 2 on a 5-point scale).1 Those who respond to stressors as challenges rather than threats tend to be resilient people who exert control over their lives, often through meditation or similar techniques, and have a strong social support network. Many report that caregiving provides them with an opportunity to act in accordance with their values and feel helpful rather than helpless.
Cognitive-behavioral interventions to alleviate stress-related symptoms appear to be more effective if offered as individual rather than group therapy. Teaching caregivers effective coping strategies, rather than merely providing social support, has been shown to improve caregiver psychologic health.15 Chief among the goals of intervention should be to alter brain function and instill optimism, a sense of control and self-esteem.13
- The National Alliance for Caregiving, in collaboration with the American Association of Retired Persons. Caregiving in the U.S. 2009. National Alliance for Caregiving Web site. http://www.caregiving.org/data/Caregiving_in_the_US_2009_full_report.pdf. Published November 2009. Accessed March 21, 2011.
- Family Caregiver Alliance. Caregiver health. A population at risk. National Alliance for Caregiving Web site. http://www.caregiver.org/caregiver/jsp/content_node.jsp?nodeid=1822. Published 2006. Accessed March 21, 2011.
- Family Caregiver Alliance. Prevalence, hours, and economic value of family caregiving, updated state-by-state analysis of 2004 national estimates. National Alliance for Caregiving Web site. http://www.caregiver.org/caregiver/jsp/content/pdfs/State_Caregiving_Data_Amo_20061107.pdf. Published 2006. Accessed March 21, 2011.
- Evercare. Study of caregivers in decline: a close-up look at the health risks of caring for a loved one. National Alliance for Caregiving Web site. http://www.caregiving.org/data/Caregivers%20in%20Decline%20Study-FINAL-lowres.pdf. Published 2006. Accessed March 21, 2011.
- Pinquart M, Sörensen S. Differences between caregivers and noncaregivers in psychological health and physical health: a metaanalysis. Psychol Aging 2003; 18:250–267.
- Vitaliano PP, Zhang J, Scanlan JM. Is caregiving hazardous to one’s physical health? A meta-analysis. Psychol Bull 2003; 129:946–972.
- Ho A, Collins S, Davis K, Doty M. A look at working-age caregivers’ roles, health concerns, and need for support (issue brief). New York, NY: The Commonwealth Fund; 2005.
- MetLife study of working caregivers and employer health care costs. MetLife Web site. http://www.metlife.com/assets/cao/mmi/publications/studies/2010/mmi-working-caregivers-employers-health-carecosts.pdf. Published July 2006. Accessed March 21, 2011.
- MetLife caregiving cost study: productivity losses to U.S. business. National Alliance for Caregiving Web site. http://www.caregiving. org/data/Caregiver%20Cost%20Study.pdf. Published July 2006. Accessed March 21, 2011.
- Pinquart M, Sörensen S. Gender differences in caregiver stressors, social resources, and health: an updated meta-analysis. J Gerontol B Psychol Sci Soc Sci 2006; 61:P33–P45.
- Johnson RW, Wiener JM. A profi le of frail older Americans and their caregivers. Urban Institute Web site. http://www.urban.org/UploadedPDF/311284_older_americans.pdf. Published February 2006. Accessed March 21, 2011.
- Schulz R, Beach SR. Caregiving as a risk factor for mortality: the caregiver health effects study. JAMA 1999; 282:2215–2219.
- McEwen BS, Gianaros PJ. Central role of the brain in stress and adaptation: links to socioeconomic status, health, and disease. Ann NY Acad Sci 2010; 1186:190–222.
- Aschbacher K, Mills PJ, von Känel R, et al. Effects of depressive and anxious symptoms on norepinephrine and platelet P-selectin responses to acute psychological stress among elderly caregivers. Brain Behav Immun 2008; 22:493–502.
- Selwood A, Johnston K, Katona C, Lyketsos C, Livingston G. Systematic review of the effect of psychological interventions on family caregivers of people with dementia. J Affect Disord 2007; 101:75–89.
The number of people in the United States who spend a significant part of each week working as unpaid caregivers is considerable, and the toll exacted for such work is high. Understanding the profi le of the caregiver, the nature of the duties performed, the stress imposed by such duties, and the consequences of the stress can assist the clinician in recognizing the caregiver in need of intervention.
A PROFILE OF THE CAREGIVER
A recent survey estimated that more than 65 million Americans provide unpaid assistance annually to older adults with disabilities.1 The value of that labor has been estimated at $306 billion annually, or nearly double the combined cost of home health care and nursing home care.2,3
The typical caregiver is a woman, about 48 years old, with some college education, who spends 20 hours or more each week providing unpaid care to someone aged 50 years or older.1 The recipients of care often have long-term physical disabilities; mental confusion or emotional problems frequently complicate care.
PSYCHOLOGIC AND PHYSICAL COSTS
Caregiving may take a toll on the caregiver in a variety of ways: behavioral, in the form of alcohol or substance use4; psychologic, in the form of depression or other mental health problems5; and physical, in the form of chronic health conditions and impaired immune response.6 About three-fifths of caregivers report fair or poor health, compared with one-third of noncaregivers, and caregivers have approximately twice as many chronic conditions, such as heart disease, cancer, arthritis, and diabetes, compared with noncaregivers.2,7 Caregiving also exacts a financial toll, as employees who are caregivers cost their employers $13.4 billion more per year in health care expenditures.8 In addition, absenteeism, workday interruptions, and shifts from full-time to part-time work by caregivers cost businesses between $17.1 and $33.6 billion per year.9
The cost of caregiving is higher for women, who exhibit higher levels of anxiety and depression and lower levels of subjective well-being, life satisfaction, and physical health.10,11 The stress of caregiving has also been identified as a risk factor for morbidity among older (66 to 96 years old) caregivers, who have a 63% greater mortality than noncaregivers of the same age.12
PSYCHOSOCIAL STRESS, UNHEALTHY BEHAVIORS, AND ILLNESS ARE LINKED
Psychosocial stress is a predictor of disease and can lead to unhealthy behaviors such as smoking, substance abuse, overeating, poor nutrition, and a sedentary lifestyle; these, in turn, can lead to physical and psychiatric illness. Behaviors adopted initially as coping skills may persist to become chronic, thereby promoting either continued wellness (in the case of healthy coping behaviors) or worsening levels of illness (in the case of unhealthy coping behaviors).
McEwen and Gianaros13 have suggested that these stress mechanisms arise from patterns of communication between the brain and the autonomic, cardiovascular, and immune systems, which mutually influenceone another. These so-called bidirectional stress processes affect cognition, experience, and behavior.
An integrated model of stress that maps the bidirectional causal pathways among psychosocial stressors, resulting unhealthy behaviors, and illness is needed. Although the steps from unhealthy behaviors to illness are fairly well understood, the links from psychosocial stress, such as those exhibited by caregivers, to unhealthy behaviors are not as clear. Several mediators are under study:
- Personality mediators can be either ameliorative (resilience, self-confi dence, self-control, optimism, high self-esteem, a sense of mastery, and finding meaning in life) or exacerbating (neuroticism and inhibition, which together form the so-called type D personality).
- Environmental mediators include social support, financial support, a history of a significant life change, and trauma early in life, which may increase one’s subsequent vulnerability to unhealthy behaviors.
- Biologic mediators may include prolonged sympathetic activation and enhanced platelet activation, caused by increased levels of depression and anxiety in chronically stressed caregivers.14
IMPLICATIONS FOR INTERVENTION
A significant percentage of caregivers do not need a clinician’s intervention to help them cope with stress or unhealthy coping skills. Among caregivers aged 50 years or older, 47% indicated in a recent study that the burden of caregiving is low (ie, 1 or 2 on a 5-point scale).1 Those who respond to stressors as challenges rather than threats tend to be resilient people who exert control over their lives, often through meditation or similar techniques, and have a strong social support network. Many report that caregiving provides them with an opportunity to act in accordance with their values and feel helpful rather than helpless.
Cognitive-behavioral interventions to alleviate stress-related symptoms appear to be more effective if offered as individual rather than group therapy. Teaching caregivers effective coping strategies, rather than merely providing social support, has been shown to improve caregiver psychologic health.15 Chief among the goals of intervention should be to alter brain function and instill optimism, a sense of control and self-esteem.13
The number of people in the United States who spend a significant part of each week working as unpaid caregivers is considerable, and the toll exacted for such work is high. Understanding the profi le of the caregiver, the nature of the duties performed, the stress imposed by such duties, and the consequences of the stress can assist the clinician in recognizing the caregiver in need of intervention.
A PROFILE OF THE CAREGIVER
A recent survey estimated that more than 65 million Americans provide unpaid assistance annually to older adults with disabilities.1 The value of that labor has been estimated at $306 billion annually, or nearly double the combined cost of home health care and nursing home care.2,3
The typical caregiver is a woman, about 48 years old, with some college education, who spends 20 hours or more each week providing unpaid care to someone aged 50 years or older.1 The recipients of care often have long-term physical disabilities; mental confusion or emotional problems frequently complicate care.
PSYCHOLOGIC AND PHYSICAL COSTS
Caregiving may take a toll on the caregiver in a variety of ways: behavioral, in the form of alcohol or substance use4; psychologic, in the form of depression or other mental health problems5; and physical, in the form of chronic health conditions and impaired immune response.6 About three-fifths of caregivers report fair or poor health, compared with one-third of noncaregivers, and caregivers have approximately twice as many chronic conditions, such as heart disease, cancer, arthritis, and diabetes, compared with noncaregivers.2,7 Caregiving also exacts a financial toll, as employees who are caregivers cost their employers $13.4 billion more per year in health care expenditures.8 In addition, absenteeism, workday interruptions, and shifts from full-time to part-time work by caregivers cost businesses between $17.1 and $33.6 billion per year.9
The cost of caregiving is higher for women, who exhibit higher levels of anxiety and depression and lower levels of subjective well-being, life satisfaction, and physical health.10,11 The stress of caregiving has also been identified as a risk factor for morbidity among older (66 to 96 years old) caregivers, who have a 63% greater mortality than noncaregivers of the same age.12
PSYCHOSOCIAL STRESS, UNHEALTHY BEHAVIORS, AND ILLNESS ARE LINKED
Psychosocial stress is a predictor of disease and can lead to unhealthy behaviors such as smoking, substance abuse, overeating, poor nutrition, and a sedentary lifestyle; these, in turn, can lead to physical and psychiatric illness. Behaviors adopted initially as coping skills may persist to become chronic, thereby promoting either continued wellness (in the case of healthy coping behaviors) or worsening levels of illness (in the case of unhealthy coping behaviors).
McEwen and Gianaros13 have suggested that these stress mechanisms arise from patterns of communication between the brain and the autonomic, cardiovascular, and immune systems, which mutually influenceone another. These so-called bidirectional stress processes affect cognition, experience, and behavior.
An integrated model of stress that maps the bidirectional causal pathways among psychosocial stressors, resulting unhealthy behaviors, and illness is needed. Although the steps from unhealthy behaviors to illness are fairly well understood, the links from psychosocial stress, such as those exhibited by caregivers, to unhealthy behaviors are not as clear. Several mediators are under study:
- Personality mediators can be either ameliorative (resilience, self-confi dence, self-control, optimism, high self-esteem, a sense of mastery, and finding meaning in life) or exacerbating (neuroticism and inhibition, which together form the so-called type D personality).
- Environmental mediators include social support, financial support, a history of a significant life change, and trauma early in life, which may increase one’s subsequent vulnerability to unhealthy behaviors.
- Biologic mediators may include prolonged sympathetic activation and enhanced platelet activation, caused by increased levels of depression and anxiety in chronically stressed caregivers.14
IMPLICATIONS FOR INTERVENTION
A significant percentage of caregivers do not need a clinician’s intervention to help them cope with stress or unhealthy coping skills. Among caregivers aged 50 years or older, 47% indicated in a recent study that the burden of caregiving is low (ie, 1 or 2 on a 5-point scale).1 Those who respond to stressors as challenges rather than threats tend to be resilient people who exert control over their lives, often through meditation or similar techniques, and have a strong social support network. Many report that caregiving provides them with an opportunity to act in accordance with their values and feel helpful rather than helpless.
Cognitive-behavioral interventions to alleviate stress-related symptoms appear to be more effective if offered as individual rather than group therapy. Teaching caregivers effective coping strategies, rather than merely providing social support, has been shown to improve caregiver psychologic health.15 Chief among the goals of intervention should be to alter brain function and instill optimism, a sense of control and self-esteem.13
- The National Alliance for Caregiving, in collaboration with the American Association of Retired Persons. Caregiving in the U.S. 2009. National Alliance for Caregiving Web site. http://www.caregiving.org/data/Caregiving_in_the_US_2009_full_report.pdf. Published November 2009. Accessed March 21, 2011.
- Family Caregiver Alliance. Caregiver health. A population at risk. National Alliance for Caregiving Web site. http://www.caregiver.org/caregiver/jsp/content_node.jsp?nodeid=1822. Published 2006. Accessed March 21, 2011.
- Family Caregiver Alliance. Prevalence, hours, and economic value of family caregiving, updated state-by-state analysis of 2004 national estimates. National Alliance for Caregiving Web site. http://www.caregiver.org/caregiver/jsp/content/pdfs/State_Caregiving_Data_Amo_20061107.pdf. Published 2006. Accessed March 21, 2011.
- Evercare. Study of caregivers in decline: a close-up look at the health risks of caring for a loved one. National Alliance for Caregiving Web site. http://www.caregiving.org/data/Caregivers%20in%20Decline%20Study-FINAL-lowres.pdf. Published 2006. Accessed March 21, 2011.
- Pinquart M, Sörensen S. Differences between caregivers and noncaregivers in psychological health and physical health: a metaanalysis. Psychol Aging 2003; 18:250–267.
- Vitaliano PP, Zhang J, Scanlan JM. Is caregiving hazardous to one’s physical health? A meta-analysis. Psychol Bull 2003; 129:946–972.
- Ho A, Collins S, Davis K, Doty M. A look at working-age caregivers’ roles, health concerns, and need for support (issue brief). New York, NY: The Commonwealth Fund; 2005.
- MetLife study of working caregivers and employer health care costs. MetLife Web site. http://www.metlife.com/assets/cao/mmi/publications/studies/2010/mmi-working-caregivers-employers-health-carecosts.pdf. Published July 2006. Accessed March 21, 2011.
- MetLife caregiving cost study: productivity losses to U.S. business. National Alliance for Caregiving Web site. http://www.caregiving. org/data/Caregiver%20Cost%20Study.pdf. Published July 2006. Accessed March 21, 2011.
- Pinquart M, Sörensen S. Gender differences in caregiver stressors, social resources, and health: an updated meta-analysis. J Gerontol B Psychol Sci Soc Sci 2006; 61:P33–P45.
- Johnson RW, Wiener JM. A profi le of frail older Americans and their caregivers. Urban Institute Web site. http://www.urban.org/UploadedPDF/311284_older_americans.pdf. Published February 2006. Accessed March 21, 2011.
- Schulz R, Beach SR. Caregiving as a risk factor for mortality: the caregiver health effects study. JAMA 1999; 282:2215–2219.
- McEwen BS, Gianaros PJ. Central role of the brain in stress and adaptation: links to socioeconomic status, health, and disease. Ann NY Acad Sci 2010; 1186:190–222.
- Aschbacher K, Mills PJ, von Känel R, et al. Effects of depressive and anxious symptoms on norepinephrine and platelet P-selectin responses to acute psychological stress among elderly caregivers. Brain Behav Immun 2008; 22:493–502.
- Selwood A, Johnston K, Katona C, Lyketsos C, Livingston G. Systematic review of the effect of psychological interventions on family caregivers of people with dementia. J Affect Disord 2007; 101:75–89.
- The National Alliance for Caregiving, in collaboration with the American Association of Retired Persons. Caregiving in the U.S. 2009. National Alliance for Caregiving Web site. http://www.caregiving.org/data/Caregiving_in_the_US_2009_full_report.pdf. Published November 2009. Accessed March 21, 2011.
- Family Caregiver Alliance. Caregiver health. A population at risk. National Alliance for Caregiving Web site. http://www.caregiver.org/caregiver/jsp/content_node.jsp?nodeid=1822. Published 2006. Accessed March 21, 2011.
- Family Caregiver Alliance. Prevalence, hours, and economic value of family caregiving, updated state-by-state analysis of 2004 national estimates. National Alliance for Caregiving Web site. http://www.caregiver.org/caregiver/jsp/content/pdfs/State_Caregiving_Data_Amo_20061107.pdf. Published 2006. Accessed March 21, 2011.
- Evercare. Study of caregivers in decline: a close-up look at the health risks of caring for a loved one. National Alliance for Caregiving Web site. http://www.caregiving.org/data/Caregivers%20in%20Decline%20Study-FINAL-lowres.pdf. Published 2006. Accessed March 21, 2011.
- Pinquart M, Sörensen S. Differences between caregivers and noncaregivers in psychological health and physical health: a metaanalysis. Psychol Aging 2003; 18:250–267.
- Vitaliano PP, Zhang J, Scanlan JM. Is caregiving hazardous to one’s physical health? A meta-analysis. Psychol Bull 2003; 129:946–972.
- Ho A, Collins S, Davis K, Doty M. A look at working-age caregivers’ roles, health concerns, and need for support (issue brief). New York, NY: The Commonwealth Fund; 2005.
- MetLife study of working caregivers and employer health care costs. MetLife Web site. http://www.metlife.com/assets/cao/mmi/publications/studies/2010/mmi-working-caregivers-employers-health-carecosts.pdf. Published July 2006. Accessed March 21, 2011.
- MetLife caregiving cost study: productivity losses to U.S. business. National Alliance for Caregiving Web site. http://www.caregiving. org/data/Caregiver%20Cost%20Study.pdf. Published July 2006. Accessed March 21, 2011.
- Pinquart M, Sörensen S. Gender differences in caregiver stressors, social resources, and health: an updated meta-analysis. J Gerontol B Psychol Sci Soc Sci 2006; 61:P33–P45.
- Johnson RW, Wiener JM. A profi le of frail older Americans and their caregivers. Urban Institute Web site. http://www.urban.org/UploadedPDF/311284_older_americans.pdf. Published February 2006. Accessed March 21, 2011.
- Schulz R, Beach SR. Caregiving as a risk factor for mortality: the caregiver health effects study. JAMA 1999; 282:2215–2219.
- McEwen BS, Gianaros PJ. Central role of the brain in stress and adaptation: links to socioeconomic status, health, and disease. Ann NY Acad Sci 2010; 1186:190–222.
- Aschbacher K, Mills PJ, von Känel R, et al. Effects of depressive and anxious symptoms on norepinephrine and platelet P-selectin responses to acute psychological stress among elderly caregivers. Brain Behav Immun 2008; 22:493–502.
- Selwood A, Johnston K, Katona C, Lyketsos C, Livingston G. Systematic review of the effect of psychological interventions on family caregivers of people with dementia. J Affect Disord 2007; 101:75–89.