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Proclivity ID
18811001
Unpublish
Citation Name
OBG Manag
Specialty Focus
Obstetrics
Gynecology
Surgery
Negative Keywords
gaming
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
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aholeed
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aholees
aholeing
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alcohol
alcoholed
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alcoholes
alcoholing
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allmaned
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alted
altes
alting
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analer
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anilingused
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anus
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areola
areolaed
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aryaned
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aryaning
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asiaed
asiaer
asiaes
asiaing
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asias
ass
ass hole
ass lick
ass licked
ass licker
ass lickes
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assbangedes
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asshated
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azz
azzed
azzer
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azzing
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beardedclamed
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beardedclames
beardedclaming
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beastialityed
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beastialityes
beastialitying
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beatched
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beatered
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biatched
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biatching
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biatchs
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big titsed
big titser
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bisexualed
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bitched
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bitching
bitchly
bitchs
bitchy
bitchyed
bitchyer
bitchyes
bitchying
bitchyly
bitchys
bleached
bleacher
bleaches
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bleachly
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blow job
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blow jobes
blow jobing
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boink
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boinkes
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bollock
bollocked
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bollocks
bollocksed
bollockser
bollockses
bollocksing
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bollockss
bollok
bolloked
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boner
bonered
bonerer
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bonering
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bonerser
bonerses
bonersing
bonersly
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bong
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bonges
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boob
boobed
boober
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boobies
boobiesed
boobieser
boobieses
boobiesing
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boobiess
boobing
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boobser
boobses
boobsing
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boobyes
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boogered
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boogering
boogerly
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bookie
bookieed
bookieer
bookiees
bookieing
bookiely
bookies
bootee
booteeed
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booteees
booteeing
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bootieed
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bootieing
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bootyed
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bootyes
bootying
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boozeed
boozeer
boozees
boozeing
boozely
boozer
boozered
boozerer
boozeres
boozering
boozerly
boozers
boozes
boozy
boozyed
boozyer
boozyes
boozying
boozyly
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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
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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
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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
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cummines
cumming
cumminged
cumminger
cumminges
cumminging
cummingly
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cumminly
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cums
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cumshoted
cumshoter
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cumshoting
cumshotly
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cumshotsed
cumshotser
cumshotses
cumshotsing
cumshotsly
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cumsluted
cumsluter
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cumsluting
cumslutly
cumsluts
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cumstained
cumstainer
cumstaines
cumstaining
cumstainly
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cunilingus
cunilingused
cunilinguser
cunilinguses
cunilingusing
cunilingusly
cunilinguss
cunnilingus
cunnilingused
cunnilinguser
cunnilinguses
cunnilingusing
cunnilingusly
cunnilinguss
cunny
cunnyed
cunnyer
cunnyes
cunnying
cunnyly
cunnys
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cunted
cunter
cuntes
cuntface
cuntfaceed
cuntfaceer
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cuntfaceing
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cuntfaces
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cunthuntered
cunthunterer
cunthunteres
cunthuntering
cunthunterly
cunthunters
cunting
cuntlick
cuntlicked
cuntlicker
cuntlickered
cuntlickerer
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cuntlickerly
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cuntlickes
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cuntly
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cuntser
cuntses
cuntsing
cuntsly
cuntss
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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
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damnly
damns
dick
dickbag
dickbaged
dickbager
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dickbaging
dickbagly
dickbags
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dickdippered
dickdipperer
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dickdippering
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dicker
dickes
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dickfaceed
dickfaceer
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dickfaceing
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dickheaded
dickheader
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dickheading
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dickheadsing
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dickishly
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dickly
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dicksipper
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dickweed
dickweeded
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dickweedly
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dickwhipperer
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dickzipper
dickzippered
dickzipperer
dickzipperes
dickzippering
dickzipperly
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diddle
diddleed
diddleer
diddlees
diddleing
diddlely
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dikeing
dikely
dikes
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dildoed
dildoer
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dildoing
dildoly
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dildosing
dildosly
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diligafed
diligafer
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diligafing
diligafly
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dillweed
dillweeded
dillweeder
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dillweeding
dillweedly
dillweeds
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dimwited
dimwiter
dimwites
dimwiting
dimwitly
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dingle
dingleed
dingleer
dinglees
dingleing
dinglely
dingles
dipship
dipshiped
dipshiper
dipshipes
dipshiping
dipshiply
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dizzyed
dizzyer
dizzyes
dizzying
dizzyly
dizzys
doggiestyleed
doggiestyleer
doggiestylees
doggiestyleing
doggiestylely
doggiestyles
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doggystyleer
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doggystyleing
doggystylely
doggystyles
dong
donged
donger
donges
donging
dongly
dongs
doofus
doofused
doofuser
doofuses
doofusing
doofusly
doofuss
doosh
dooshed
doosher
dooshes
dooshing
dooshly
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dopeyed
dopeyer
dopeyes
dopeying
dopeyly
dopeys
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douchebaged
douchebager
douchebages
douchebaging
douchebagly
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douchebagsed
douchebagser
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douchebagsing
douchebagsly
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doucheer
douchees
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douchely
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doucheyes
doucheying
doucheyly
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drunked
drunker
drunkes
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drunkly
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dumassed
dumasser
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dumassly
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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
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dykeser
dykeses
dykesing
dykesly
dykess
erotic
eroticed
eroticer
erotices
eroticing
eroticly
erotics
extacy
extacyed
extacyer
extacyes
extacying
extacyly
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extasyed
extasyer
extasyes
extasying
extasyly
extasys
fack
facked
facker
fackes
facking
fackly
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fag
faged
fager
fages
fagg
fagged
faggeded
faggeder
faggedes
faggeding
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faggeds
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fagges
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faggited
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faggites
faggiting
faggitly
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faggly
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faggoter
faggotes
faggoting
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faggs
faging
fagly
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fagoted
fagoter
fagotes
fagoting
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fagser
fagses
fagsing
fagsly
fagss
faig
faiged
faiger
faiges
faiging
faigly
faigs
faigt
faigted
faigter
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faigting
faigtly
faigts
fannybandit
fannybandited
fannybanditer
fannybandites
fannybanditing
fannybanditly
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farter
fartes
farting
fartknocker
fartknockered
fartknockerer
fartknockeres
fartknockering
fartknockerly
fartknockers
fartly
farts
felch
felched
felcher
felchered
felcherer
felcheres
felchering
felcherly
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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
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How can electronic fetal heart-rate monitoring best improve neonatal outcomes during induction of labor?

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Tue, 08/28/2018 - 11:05
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How can electronic fetal heart-rate monitoring best improve neonatal outcomes during induction of labor?

In this prospective cohort study of women undergoing induction of labor of a singleton fetus at term (≥37 weeks), Clark and colleagues examined each patient chart for adherence to 6 clinical practices:

  • fetal weight estimated prior to induction
  • clinical assessment of pelvic adequacy prior to induction
  • completion of a safety checklist prior to induction
  • completion of a safety checklist every 30 minutes during induction
  • oxytocin infusion rate decreased if the fetal heart rate did not meet defined requirements
  • oxytocin infusion rate decreased if uterine activity did not meet defined requirements.

Defined requirements for fetal heart rate included at least 1 acceleration of 15 bpm x 15 seconds in 30 minutes, or adequate variability for 10 of the previous 30 minutes. There should have been no more than 1 late deceleration in the previous 30 minutes. And there should have been no more than 2 variable decelerations exceeding 60 seconds and decreasing more than 60 bpm from baseline in the previous 30 minutes.

Defined requirements for uterine activity included no more than 5 contractions in 10 minutes for any 20-minute interval. There should have been no 2 contractions longer than 120 seconds in duration. In addition, the uterus should have been soft upon palpation between contractions. If an intrauterine pressure catheter was in place, measurement in Montevideo units should have been less than 300 mm Hg, with baseline resting tone of less than 25 mm Hg.

Outcome measures included admission to a neonatal intensive care unit (NICU), 1- and 5-minute Apgar scores of less than 7, and primary cesarean delivery.

Study findings underscore value of a checklist
The study found that completion of a safety checklist every 30 minutes during labor was associated with a significantly reduced rate of NICU admission and cesarean delivery. When the clinician stopped or reduced oxytocin for failure to meet specific uterine activity requirements, the rate of NICU admission also was reduced, but there were no differences in other outcomes. When the clinician stopped or reduced oxytocin for a failure to meet specific fetal heart-rate requirements, the rate of NICU admission was significantly reduced, as was the rate of low Apgar scores at birth, but there was a significantly higher rate of cesarean delivery (26.6% vs 17.5%).

Strengths include size of the study
This is a large study in a population with demographics that likely reflect those of the general US population. The study size permitted detection of relatively small differences in outcome.

The data clearly support the conclusions that “electronic fetal heart-rate monitoring improves neonatal outcomes when unambiguous definitions of abnormal fetal heart rate and tachysystole are coupled with specific interventions” and that “utilization of a checklist for oxytocin monitoring is associated with improved neonatal outcomes.” However, data were conflicting regarding the impact of a standard oxytocin checklist on the rate of cesarean delivery.

What this evidence means for practice
Implementation of a conservative intrapartum checklist has been shown to improve specific measures of newborn outcome. Further study is needed to define the impact on the rate of cesarean delivery.
—David A. Miller, MD

Share your thoughts on this article! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

References

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Professor of Clinical Obstetrics, Gynecology, and Pediatrics at the University of Southern California Keck School of Medicine in Los Angeles, California, and Division Chief of Maternal-Fetal Medicine at Children’s Hospital Los Angeles.

The author reports no financial relationships relevant to this article.

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David A. Miller MD, electronic fetal heart-rate monitoring, induction of labor, improve neonatal outcomes, abnormal heart-rate patters, tachysystole, oxytocin, intrapartum checklist, cesarean delivery, fetal weight, pelvic adequacy, safety checklist, oxytocin infusion rate,
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Professor of Clinical Obstetrics, Gynecology, and Pediatrics at the University of Southern California Keck School of Medicine in Los Angeles, California, and Division Chief of Maternal-Fetal Medicine at Children’s Hospital Los Angeles.

The author reports no financial relationships relevant to this article.

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Professor of Clinical Obstetrics, Gynecology, and Pediatrics at the University of Southern California Keck School of Medicine in Los Angeles, California, and Division Chief of Maternal-Fetal Medicine at Children’s Hospital Los Angeles.

The author reports no financial relationships relevant to this article.

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In this prospective cohort study of women undergoing induction of labor of a singleton fetus at term (≥37 weeks), Clark and colleagues examined each patient chart for adherence to 6 clinical practices:

  • fetal weight estimated prior to induction
  • clinical assessment of pelvic adequacy prior to induction
  • completion of a safety checklist prior to induction
  • completion of a safety checklist every 30 minutes during induction
  • oxytocin infusion rate decreased if the fetal heart rate did not meet defined requirements
  • oxytocin infusion rate decreased if uterine activity did not meet defined requirements.

Defined requirements for fetal heart rate included at least 1 acceleration of 15 bpm x 15 seconds in 30 minutes, or adequate variability for 10 of the previous 30 minutes. There should have been no more than 1 late deceleration in the previous 30 minutes. And there should have been no more than 2 variable decelerations exceeding 60 seconds and decreasing more than 60 bpm from baseline in the previous 30 minutes.

Defined requirements for uterine activity included no more than 5 contractions in 10 minutes for any 20-minute interval. There should have been no 2 contractions longer than 120 seconds in duration. In addition, the uterus should have been soft upon palpation between contractions. If an intrauterine pressure catheter was in place, measurement in Montevideo units should have been less than 300 mm Hg, with baseline resting tone of less than 25 mm Hg.

Outcome measures included admission to a neonatal intensive care unit (NICU), 1- and 5-minute Apgar scores of less than 7, and primary cesarean delivery.

Study findings underscore value of a checklist
The study found that completion of a safety checklist every 30 minutes during labor was associated with a significantly reduced rate of NICU admission and cesarean delivery. When the clinician stopped or reduced oxytocin for failure to meet specific uterine activity requirements, the rate of NICU admission also was reduced, but there were no differences in other outcomes. When the clinician stopped or reduced oxytocin for a failure to meet specific fetal heart-rate requirements, the rate of NICU admission was significantly reduced, as was the rate of low Apgar scores at birth, but there was a significantly higher rate of cesarean delivery (26.6% vs 17.5%).

Strengths include size of the study
This is a large study in a population with demographics that likely reflect those of the general US population. The study size permitted detection of relatively small differences in outcome.

The data clearly support the conclusions that “electronic fetal heart-rate monitoring improves neonatal outcomes when unambiguous definitions of abnormal fetal heart rate and tachysystole are coupled with specific interventions” and that “utilization of a checklist for oxytocin monitoring is associated with improved neonatal outcomes.” However, data were conflicting regarding the impact of a standard oxytocin checklist on the rate of cesarean delivery.

What this evidence means for practice
Implementation of a conservative intrapartum checklist has been shown to improve specific measures of newborn outcome. Further study is needed to define the impact on the rate of cesarean delivery.
—David A. Miller, MD

Share your thoughts on this article! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

In this prospective cohort study of women undergoing induction of labor of a singleton fetus at term (≥37 weeks), Clark and colleagues examined each patient chart for adherence to 6 clinical practices:

  • fetal weight estimated prior to induction
  • clinical assessment of pelvic adequacy prior to induction
  • completion of a safety checklist prior to induction
  • completion of a safety checklist every 30 minutes during induction
  • oxytocin infusion rate decreased if the fetal heart rate did not meet defined requirements
  • oxytocin infusion rate decreased if uterine activity did not meet defined requirements.

Defined requirements for fetal heart rate included at least 1 acceleration of 15 bpm x 15 seconds in 30 minutes, or adequate variability for 10 of the previous 30 minutes. There should have been no more than 1 late deceleration in the previous 30 minutes. And there should have been no more than 2 variable decelerations exceeding 60 seconds and decreasing more than 60 bpm from baseline in the previous 30 minutes.

Defined requirements for uterine activity included no more than 5 contractions in 10 minutes for any 20-minute interval. There should have been no 2 contractions longer than 120 seconds in duration. In addition, the uterus should have been soft upon palpation between contractions. If an intrauterine pressure catheter was in place, measurement in Montevideo units should have been less than 300 mm Hg, with baseline resting tone of less than 25 mm Hg.

Outcome measures included admission to a neonatal intensive care unit (NICU), 1- and 5-minute Apgar scores of less than 7, and primary cesarean delivery.

Study findings underscore value of a checklist
The study found that completion of a safety checklist every 30 minutes during labor was associated with a significantly reduced rate of NICU admission and cesarean delivery. When the clinician stopped or reduced oxytocin for failure to meet specific uterine activity requirements, the rate of NICU admission also was reduced, but there were no differences in other outcomes. When the clinician stopped or reduced oxytocin for a failure to meet specific fetal heart-rate requirements, the rate of NICU admission was significantly reduced, as was the rate of low Apgar scores at birth, but there was a significantly higher rate of cesarean delivery (26.6% vs 17.5%).

Strengths include size of the study
This is a large study in a population with demographics that likely reflect those of the general US population. The study size permitted detection of relatively small differences in outcome.

The data clearly support the conclusions that “electronic fetal heart-rate monitoring improves neonatal outcomes when unambiguous definitions of abnormal fetal heart rate and tachysystole are coupled with specific interventions” and that “utilization of a checklist for oxytocin monitoring is associated with improved neonatal outcomes.” However, data were conflicting regarding the impact of a standard oxytocin checklist on the rate of cesarean delivery.

What this evidence means for practice
Implementation of a conservative intrapartum checklist has been shown to improve specific measures of newborn outcome. Further study is needed to define the impact on the rate of cesarean delivery.
—David A. Miller, MD

Share your thoughts on this article! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

References

References

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How can electronic fetal heart-rate monitoring best improve neonatal outcomes during induction of labor?
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How can electronic fetal heart-rate monitoring best improve neonatal outcomes during induction of labor?
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David A. Miller MD, electronic fetal heart-rate monitoring, induction of labor, improve neonatal outcomes, abnormal heart-rate patters, tachysystole, oxytocin, intrapartum checklist, cesarean delivery, fetal weight, pelvic adequacy, safety checklist, oxytocin infusion rate,
Legacy Keywords
David A. Miller MD, electronic fetal heart-rate monitoring, induction of labor, improve neonatal outcomes, abnormal heart-rate patters, tachysystole, oxytocin, intrapartum checklist, cesarean delivery, fetal weight, pelvic adequacy, safety checklist, oxytocin infusion rate,
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NCCI agrees to change recent edits regarding reconstructive procedures done at the time of vaginal hysterectomy

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NCCI agrees to change recent edits regarding reconstructive procedures done at the time of vaginal hysterectomy

On October 1, 2014, the Centers for Medicare and Medicaid Services (CMS) and the National Correct Coding Initiative (NCCI) implemented a number of new coding pair edits that significantly restricted the types of surgical procedures that could be billed at the same time as vaginal hysterectomy. Most importantly, the new edits did not allow for combined anterior and posterior (AP) vaginal repair (57260) and apical vaginal suspensions (57282, 57283) to be separately billed and reimbursed when performed by the same surgeon and done in the same surgical session as a vaginal or laparoscopic hysterectomy. I initially reported on these changes in the January 2015 issue of OBG Management (“Recent NCCI edits have significantly impacted billing and reimbursement for vaginal hysterectomy”).

AUGS, ACOG, and others responded, and were heard
As a result of an intensive effort, the American Urogynecologic Society (AUGS), in conjunction with the American College of Obstetricians and Gynecologists (ACOG), the Society of Gynecologic Surgeons (SGS), and other professional societies, NCCI has agreed to change or modify a significant number of these pair edits.

As described in my earlier article, NCCI periodically reviews multiple surgical procedures performed in the same setting by a single surgeon to determine whether there is a significant overlap in services and therefore, in their opinion, redundant payment. Most significantly, CMS agreed with the argument made by the AUGS task force that it was inappropriate to bundle combined colporrhaphy with the various vaginal hysterectomy codes. These pair edits will no longer exist, and it is possible to bill separately for an AP repair performed in the same session as a vaginal hysterectomy—and expect additional payment for this procedure (subject to the multiple procedure reduction modifier -51).

Don’t miss out on reimbursement for your prior surgeries
It is important to recognize that this decision will be retroactive to October 1, 2014, which means that surgeons can resubmit charges for procedures performed between October 1, 2014, and March 31, 2015.

An exception to this rule is when the surgeon performs, and bills for, a vaginal hysterectomy code that includes enterocele repair, such as 58263. In these circumstances, the combined colporrhaphy remains bundled with the vaginal hysterectomy, unless a special modifier is used.

When can a modifier be used?
With regard to the majority of the other pair edits, CMS still contends that the edits are appropriate; however, they have modified the edits to allow for these procedures to be billed separately when the surgeon feels that substantial additional work has been performed. For example, CMS holds the position that all vaginal hysterectomies include some type of apical fixation to the surrounding tissues—such as fixation of the vaginal cuff at the time of closure to the distal uterosacral ligaments. However, it will allow for the additional billing for a more extensive vaginal apical suspension (such as a high uterosacral suspension or sacrospinous ligament suspension) as long as the surgeon documents the additional work performed and submits the claim using one of the NCCI-approved surgical modifiers. In this particular circumstance, the -59 modifier is the appropriate choice.

The AUGS task force also had objected to the bundling of a group of codes that, in the society’s opinion, were distinctly unrelated, such as a laparoscopic hysterectomy or vaginal hysterectomy combined with a sacral colpopexy performed through an open abdominal incision. CMS recognizes that these codes are used infrequently together and has therefore assumed that they may be billed in error. AUGS, however, has pointed out that, on occasion, a laparoscopic hysterectomy with an intended laparoscopic colpopexy may be converted to an open procedure due to a complication or technical difficulty, in which case the use of both codes would be appropriate.

The NCCI response was to keep the code pairs bundled but allow for billing with the -59 modifier.

We have cause for cheer, but bundling edits continue
Overall, these changes in pair edits represent a significant improvement in reimbursement for gynecologic surgeons, relative to the changes that went into effect on October 1. A more detailed explanation and list of the codes affected can be found on the AUGS Web site (http://www.augs.org). I emphasize again that these changes not only are in effect as of April 1, 2015, but also are retroactive to October 1, 2014.

Unfortunately, while AUGS and ACOG were advocating for these changes on behalf of gynecologists, NCCI recently has approved 6 additional pair edits that will go into effect on July 1. These changes specifically involve related procedures done at the time of vaginal hysterectomy with enterocele repair (58263, 58270 and 58294, 58292) and posterior vaginal repair (57250).

 

 

While these codes will be considered bundled on that date, NCCI will allow the use of the -59 modifier to override the bundle in clinically appropriate cases. The other code pairs affected are the 2 vaginal hysterectomy codes with colpourethropexy (58267, 58293) with anterior repair (57240). Again, these code pairs will be bundled, and it will require the use of a modifier to override this bundle.

Share your thoughts on this article! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

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Dr. Toglia is a board-certified subspecialist in Female Pelvic Medicine and Reconstructive Surgery who serves as vice chair of the Coding Committee for the American Urogynecologic Society. He is Associate Professor of Obstetrics and Gynecology at Sidney Kimmel Medical College (formerly Jefferson Medical College) and practices at Main Line Health System in the Philadelphia, Pennsylvania, suburbs.

The author reports no financial relationships relevant to this article.

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Dr. Toglia is a board-certified subspecialist in Female Pelvic Medicine and Reconstructive Surgery who serves as vice chair of the Coding Committee for the American Urogynecologic Society. He is Associate Professor of Obstetrics and Gynecology at Sidney Kimmel Medical College (formerly Jefferson Medical College) and practices at Main Line Health System in the Philadelphia, Pennsylvania, suburbs.

The author reports no financial relationships relevant to this article.

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Marc R. Toglia, MD

Dr. Toglia is a board-certified subspecialist in Female Pelvic Medicine and Reconstructive Surgery who serves as vice chair of the Coding Committee for the American Urogynecologic Society. He is Associate Professor of Obstetrics and Gynecology at Sidney Kimmel Medical College (formerly Jefferson Medical College) and practices at Main Line Health System in the Philadelphia, Pennsylvania, suburbs.

The author reports no financial relationships relevant to this article.

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On October 1, 2014, the Centers for Medicare and Medicaid Services (CMS) and the National Correct Coding Initiative (NCCI) implemented a number of new coding pair edits that significantly restricted the types of surgical procedures that could be billed at the same time as vaginal hysterectomy. Most importantly, the new edits did not allow for combined anterior and posterior (AP) vaginal repair (57260) and apical vaginal suspensions (57282, 57283) to be separately billed and reimbursed when performed by the same surgeon and done in the same surgical session as a vaginal or laparoscopic hysterectomy. I initially reported on these changes in the January 2015 issue of OBG Management (“Recent NCCI edits have significantly impacted billing and reimbursement for vaginal hysterectomy”).

AUGS, ACOG, and others responded, and were heard
As a result of an intensive effort, the American Urogynecologic Society (AUGS), in conjunction with the American College of Obstetricians and Gynecologists (ACOG), the Society of Gynecologic Surgeons (SGS), and other professional societies, NCCI has agreed to change or modify a significant number of these pair edits.

As described in my earlier article, NCCI periodically reviews multiple surgical procedures performed in the same setting by a single surgeon to determine whether there is a significant overlap in services and therefore, in their opinion, redundant payment. Most significantly, CMS agreed with the argument made by the AUGS task force that it was inappropriate to bundle combined colporrhaphy with the various vaginal hysterectomy codes. These pair edits will no longer exist, and it is possible to bill separately for an AP repair performed in the same session as a vaginal hysterectomy—and expect additional payment for this procedure (subject to the multiple procedure reduction modifier -51).

Don’t miss out on reimbursement for your prior surgeries
It is important to recognize that this decision will be retroactive to October 1, 2014, which means that surgeons can resubmit charges for procedures performed between October 1, 2014, and March 31, 2015.

An exception to this rule is when the surgeon performs, and bills for, a vaginal hysterectomy code that includes enterocele repair, such as 58263. In these circumstances, the combined colporrhaphy remains bundled with the vaginal hysterectomy, unless a special modifier is used.

When can a modifier be used?
With regard to the majority of the other pair edits, CMS still contends that the edits are appropriate; however, they have modified the edits to allow for these procedures to be billed separately when the surgeon feels that substantial additional work has been performed. For example, CMS holds the position that all vaginal hysterectomies include some type of apical fixation to the surrounding tissues—such as fixation of the vaginal cuff at the time of closure to the distal uterosacral ligaments. However, it will allow for the additional billing for a more extensive vaginal apical suspension (such as a high uterosacral suspension or sacrospinous ligament suspension) as long as the surgeon documents the additional work performed and submits the claim using one of the NCCI-approved surgical modifiers. In this particular circumstance, the -59 modifier is the appropriate choice.

The AUGS task force also had objected to the bundling of a group of codes that, in the society’s opinion, were distinctly unrelated, such as a laparoscopic hysterectomy or vaginal hysterectomy combined with a sacral colpopexy performed through an open abdominal incision. CMS recognizes that these codes are used infrequently together and has therefore assumed that they may be billed in error. AUGS, however, has pointed out that, on occasion, a laparoscopic hysterectomy with an intended laparoscopic colpopexy may be converted to an open procedure due to a complication or technical difficulty, in which case the use of both codes would be appropriate.

The NCCI response was to keep the code pairs bundled but allow for billing with the -59 modifier.

We have cause for cheer, but bundling edits continue
Overall, these changes in pair edits represent a significant improvement in reimbursement for gynecologic surgeons, relative to the changes that went into effect on October 1. A more detailed explanation and list of the codes affected can be found on the AUGS Web site (http://www.augs.org). I emphasize again that these changes not only are in effect as of April 1, 2015, but also are retroactive to October 1, 2014.

Unfortunately, while AUGS and ACOG were advocating for these changes on behalf of gynecologists, NCCI recently has approved 6 additional pair edits that will go into effect on July 1. These changes specifically involve related procedures done at the time of vaginal hysterectomy with enterocele repair (58263, 58270 and 58294, 58292) and posterior vaginal repair (57250).

 

 

While these codes will be considered bundled on that date, NCCI will allow the use of the -59 modifier to override the bundle in clinically appropriate cases. The other code pairs affected are the 2 vaginal hysterectomy codes with colpourethropexy (58267, 58293) with anterior repair (57240). Again, these code pairs will be bundled, and it will require the use of a modifier to override this bundle.

Share your thoughts on this article! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

On October 1, 2014, the Centers for Medicare and Medicaid Services (CMS) and the National Correct Coding Initiative (NCCI) implemented a number of new coding pair edits that significantly restricted the types of surgical procedures that could be billed at the same time as vaginal hysterectomy. Most importantly, the new edits did not allow for combined anterior and posterior (AP) vaginal repair (57260) and apical vaginal suspensions (57282, 57283) to be separately billed and reimbursed when performed by the same surgeon and done in the same surgical session as a vaginal or laparoscopic hysterectomy. I initially reported on these changes in the January 2015 issue of OBG Management (“Recent NCCI edits have significantly impacted billing and reimbursement for vaginal hysterectomy”).

AUGS, ACOG, and others responded, and were heard
As a result of an intensive effort, the American Urogynecologic Society (AUGS), in conjunction with the American College of Obstetricians and Gynecologists (ACOG), the Society of Gynecologic Surgeons (SGS), and other professional societies, NCCI has agreed to change or modify a significant number of these pair edits.

As described in my earlier article, NCCI periodically reviews multiple surgical procedures performed in the same setting by a single surgeon to determine whether there is a significant overlap in services and therefore, in their opinion, redundant payment. Most significantly, CMS agreed with the argument made by the AUGS task force that it was inappropriate to bundle combined colporrhaphy with the various vaginal hysterectomy codes. These pair edits will no longer exist, and it is possible to bill separately for an AP repair performed in the same session as a vaginal hysterectomy—and expect additional payment for this procedure (subject to the multiple procedure reduction modifier -51).

Don’t miss out on reimbursement for your prior surgeries
It is important to recognize that this decision will be retroactive to October 1, 2014, which means that surgeons can resubmit charges for procedures performed between October 1, 2014, and March 31, 2015.

An exception to this rule is when the surgeon performs, and bills for, a vaginal hysterectomy code that includes enterocele repair, such as 58263. In these circumstances, the combined colporrhaphy remains bundled with the vaginal hysterectomy, unless a special modifier is used.

When can a modifier be used?
With regard to the majority of the other pair edits, CMS still contends that the edits are appropriate; however, they have modified the edits to allow for these procedures to be billed separately when the surgeon feels that substantial additional work has been performed. For example, CMS holds the position that all vaginal hysterectomies include some type of apical fixation to the surrounding tissues—such as fixation of the vaginal cuff at the time of closure to the distal uterosacral ligaments. However, it will allow for the additional billing for a more extensive vaginal apical suspension (such as a high uterosacral suspension or sacrospinous ligament suspension) as long as the surgeon documents the additional work performed and submits the claim using one of the NCCI-approved surgical modifiers. In this particular circumstance, the -59 modifier is the appropriate choice.

The AUGS task force also had objected to the bundling of a group of codes that, in the society’s opinion, were distinctly unrelated, such as a laparoscopic hysterectomy or vaginal hysterectomy combined with a sacral colpopexy performed through an open abdominal incision. CMS recognizes that these codes are used infrequently together and has therefore assumed that they may be billed in error. AUGS, however, has pointed out that, on occasion, a laparoscopic hysterectomy with an intended laparoscopic colpopexy may be converted to an open procedure due to a complication or technical difficulty, in which case the use of both codes would be appropriate.

The NCCI response was to keep the code pairs bundled but allow for billing with the -59 modifier.

We have cause for cheer, but bundling edits continue
Overall, these changes in pair edits represent a significant improvement in reimbursement for gynecologic surgeons, relative to the changes that went into effect on October 1. A more detailed explanation and list of the codes affected can be found on the AUGS Web site (http://www.augs.org). I emphasize again that these changes not only are in effect as of April 1, 2015, but also are retroactive to October 1, 2014.

Unfortunately, while AUGS and ACOG were advocating for these changes on behalf of gynecologists, NCCI recently has approved 6 additional pair edits that will go into effect on July 1. These changes specifically involve related procedures done at the time of vaginal hysterectomy with enterocele repair (58263, 58270 and 58294, 58292) and posterior vaginal repair (57250).

 

 

While these codes will be considered bundled on that date, NCCI will allow the use of the -59 modifier to override the bundle in clinically appropriate cases. The other code pairs affected are the 2 vaginal hysterectomy codes with colpourethropexy (58267, 58293) with anterior repair (57240). Again, these code pairs will be bundled, and it will require the use of a modifier to override this bundle.

Share your thoughts on this article! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

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NCCI agrees to change recent edits regarding reconstructive procedures done at the time of vaginal hysterectomy
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Marc R. Toglia MD, NCCI, National Correct Coding Initiative, Centers for Medicare and Medicaid Services, CMS, types of surgical procedures that can be billed at the same time, vaginal hysterectomy, anterior and posterior vaginal repair, AP vaginal repair, laparoscopic hysterectomy, American College of Obstetricians and Gynecologists, ACOG, American Urogynecologic Society, AUGS, Society of Gynecologic Surgeons, SGS, high uterosacral suspension, sacrospinous ligament suspension, laparoscopic hysterectomy or vaginal hysterectomy combined with a sacral colpopexy
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More questions than answers?

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More questions than answers?

“WHAT IS THE RISK THAT A PATIENT WILL HAVE AN OCCULT UTERINE CANCER AT MYOMECTOMY?”
ROBERT L. BARBIERI, MD (EXAMINING THE EVIDENCE; APRIL 2015)

More questions than answers?
The data presented by Wright and colleagues on the prevalence of underlying cancer in women who undergo myomectomy is disturbing and thought-provoking.

Are those in the 50-and-older age group who undergo myomectomy different from their same-aged peers with fibroids who do not undergo myomectomy? If so, why? If not, then with a 1 in 154 to 1 in 31 risk of occult malignancy, should not all women 50 years and older with fibroids undergo hysterectomy for this occult risk? This certainly has not been the standard of care for women 50 and older with asymptomatic fibroids. Thoughts?

In conclusion, it appears that power morcellation, or should I say the morcellation issue, has brought forth more questions than answers.
Richard L. Myers, MD
Jacksonville, Florida

Dr. Barbieri responds
I agree with Dr. Myers: Women aged 50 and older who have fibroids and undergo myomectomy must be clinically different than women of the same age who have fibroids but do not undergo myomectomy. It is likely that the women who undergo myomectomy have larger pelvic tumors or are more symptomatic than those who do not undergo myomectomy. I think this demonstrates that gynecologists are successfully identifying those women with a pelvic mass thought to be due to fibroids with the greatest risk of occult cancer and recommending that those women undergo surgery, while simultaneously recommending expectant management for those at lowest risk of an occult cancer.


“UPDATE ON MINIMALLY INVASIVE gynecologic SURGERY”
AMY L. GARCIA, MD (APRIL 2015)

Additional tips for in-office hysteroscopy
Thank you for the excellent coverage of hysteroscopy in the April issue. For me, patient trust is extremely important. Before I begin in-office hysteroscopy, I explain how the procedure is performed and answer all questions. I reassure the patient that, if it is too painful, I will stop and we will move to the operating room. I find music to be distracting to me as I am talking and constantly reassuring her.

In addition, I don’t perform the procedure when the patient is menstruating as it decreases visibility and I don’t want the intrauterine lidocaine to enter open vessels. It is helpful to perform this procedure shortly after menses and prior to ovulation to avoid instrumenting a pregnant uterus. Even if the menses is normal in timing and flow, a pregnancy test is still performed prior to the procedure. Doing it in this time period also can offer better visibility, as the endometrium is thinner.

I prescribe oral misoprostol the night before (400 mg, or 200 mg if she has undergone a cesarean delivery). The patient also is instructed to take ibuprofen 800 mg 1 hour prior to the procedure.

I continuously tell the patient what to expect. First, I perform a bimanual exam to determine the uterine position. Then local anesthesia placed on the anterior lip of the cervix prevents pain when placing the tenaculum. A paracervical block is performed and lidocaine jelly is placed in the cervix. Using an angiocatheter, I inject 4 mL of 2% lidocaine into the uterus and then wait 3 minutes.

It is important to only use the amount of fluid necessary to avoid overdistending the uterus. I take care to avoid touching the fundus, as this increases pain. I use a 4-mm 30˚ scope. I agree that the pain is dependent on physician expertise and procedure length.

If the cavity is clean, I perform a thorough endometrial biopsy that causes minimal pain because of the intrauterine lidocaine. I recently started doing in-office diagnostic hysteroscopy again. When I did it years ago without intrauterine lidocaine, it was unacceptably painful. I have performed 25 cases, all of which were successful, including on postmenopausal patients. All of the patients reported being highly satisfied and glad to have had the procedure performed in the office.
Ray Wertheim, MD

Fairfax, Virginia

Would you approve this candidate for uterus transplantation?

“UTERUS TRANSPLANTATION: MEDICAL BREAKTHROUGH OR SURGICAL FOLLY?”
ROBERT L. BARBIERI, MD (EDITORIAL; APRIL 2015)

Instant Poll
Dr. Barbieri presented 3 cases to readers in his recent editorial on uterus transplantation and asked, “Would you approve or disapprove of transplantation of the uterus in these cases?”

  1. 23-year-old Army sergeant (G0) injured by improvised explosive device. To save her life, military surgeons removed her uterus, which had been lacerated in the explosion. She requested uterus transplantation to pursue a pregnancy. The Department of Defense has approved her request.
  2. 30-year-old woman (G0) with congenital absence of the uterus who is a devout member of a religious community in which the tenets of faith prohibit gestational carriers. Rather than pursue adoption, she is seeking a uterus transplantation to pursue a pregnancy.
  3. 35-year-old woman (G1P1) who had her uterus removed to treat cervical cancer. She has been disease-free for 3 years. She would like a uterus transplant to pursue a pregnancy.

READERS WEIGH IN:
Concentrate on saving lives

We should be concentrating our resources on saving lives rather than on satisfying the wishes of some very genuine people.

Where will it end? Let us not compare uterine transplant with kidney, heart, and lung transplants.
Ram A. Singh, MD
Oklahoma City, Oklahoma

No to 35-year-old patient
Assuming, as stated, that the women are healthy and psychosocially approved, to which I would add, they are fully informed on the preparation, medications, procedure, postoperative recovery, and potential complications,I would approve the first 2 cases and disapprove of the last. My reasoning for denying a uterus transplant to the 35-year-old woman is that, after she goes through the process of screening and evaluation, she will be an “elderly gravida,” which in itself has risks. I would also be concerned that all the family members fully understand the potential risks of her undertaking.
Helen T. Jackson, MD
Brookline, Massachusetts

 

 


Share your thoughts on this article!
Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

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“WHAT IS THE RISK THAT A PATIENT WILL HAVE AN OCCULT UTERINE CANCER AT MYOMECTOMY?”
ROBERT L. BARBIERI, MD (EXAMINING THE EVIDENCE; APRIL 2015)

More questions than answers?
The data presented by Wright and colleagues on the prevalence of underlying cancer in women who undergo myomectomy is disturbing and thought-provoking.

Are those in the 50-and-older age group who undergo myomectomy different from their same-aged peers with fibroids who do not undergo myomectomy? If so, why? If not, then with a 1 in 154 to 1 in 31 risk of occult malignancy, should not all women 50 years and older with fibroids undergo hysterectomy for this occult risk? This certainly has not been the standard of care for women 50 and older with asymptomatic fibroids. Thoughts?

In conclusion, it appears that power morcellation, or should I say the morcellation issue, has brought forth more questions than answers.
Richard L. Myers, MD
Jacksonville, Florida

Dr. Barbieri responds
I agree with Dr. Myers: Women aged 50 and older who have fibroids and undergo myomectomy must be clinically different than women of the same age who have fibroids but do not undergo myomectomy. It is likely that the women who undergo myomectomy have larger pelvic tumors or are more symptomatic than those who do not undergo myomectomy. I think this demonstrates that gynecologists are successfully identifying those women with a pelvic mass thought to be due to fibroids with the greatest risk of occult cancer and recommending that those women undergo surgery, while simultaneously recommending expectant management for those at lowest risk of an occult cancer.


“UPDATE ON MINIMALLY INVASIVE gynecologic SURGERY”
AMY L. GARCIA, MD (APRIL 2015)

Additional tips for in-office hysteroscopy
Thank you for the excellent coverage of hysteroscopy in the April issue. For me, patient trust is extremely important. Before I begin in-office hysteroscopy, I explain how the procedure is performed and answer all questions. I reassure the patient that, if it is too painful, I will stop and we will move to the operating room. I find music to be distracting to me as I am talking and constantly reassuring her.

In addition, I don’t perform the procedure when the patient is menstruating as it decreases visibility and I don’t want the intrauterine lidocaine to enter open vessels. It is helpful to perform this procedure shortly after menses and prior to ovulation to avoid instrumenting a pregnant uterus. Even if the menses is normal in timing and flow, a pregnancy test is still performed prior to the procedure. Doing it in this time period also can offer better visibility, as the endometrium is thinner.

I prescribe oral misoprostol the night before (400 mg, or 200 mg if she has undergone a cesarean delivery). The patient also is instructed to take ibuprofen 800 mg 1 hour prior to the procedure.

I continuously tell the patient what to expect. First, I perform a bimanual exam to determine the uterine position. Then local anesthesia placed on the anterior lip of the cervix prevents pain when placing the tenaculum. A paracervical block is performed and lidocaine jelly is placed in the cervix. Using an angiocatheter, I inject 4 mL of 2% lidocaine into the uterus and then wait 3 minutes.

It is important to only use the amount of fluid necessary to avoid overdistending the uterus. I take care to avoid touching the fundus, as this increases pain. I use a 4-mm 30˚ scope. I agree that the pain is dependent on physician expertise and procedure length.

If the cavity is clean, I perform a thorough endometrial biopsy that causes minimal pain because of the intrauterine lidocaine. I recently started doing in-office diagnostic hysteroscopy again. When I did it years ago without intrauterine lidocaine, it was unacceptably painful. I have performed 25 cases, all of which were successful, including on postmenopausal patients. All of the patients reported being highly satisfied and glad to have had the procedure performed in the office.
Ray Wertheim, MD

Fairfax, Virginia

Would you approve this candidate for uterus transplantation?

“UTERUS TRANSPLANTATION: MEDICAL BREAKTHROUGH OR SURGICAL FOLLY?”
ROBERT L. BARBIERI, MD (EDITORIAL; APRIL 2015)

Instant Poll
Dr. Barbieri presented 3 cases to readers in his recent editorial on uterus transplantation and asked, “Would you approve or disapprove of transplantation of the uterus in these cases?”

  1. 23-year-old Army sergeant (G0) injured by improvised explosive device. To save her life, military surgeons removed her uterus, which had been lacerated in the explosion. She requested uterus transplantation to pursue a pregnancy. The Department of Defense has approved her request.
  2. 30-year-old woman (G0) with congenital absence of the uterus who is a devout member of a religious community in which the tenets of faith prohibit gestational carriers. Rather than pursue adoption, she is seeking a uterus transplantation to pursue a pregnancy.
  3. 35-year-old woman (G1P1) who had her uterus removed to treat cervical cancer. She has been disease-free for 3 years. She would like a uterus transplant to pursue a pregnancy.

READERS WEIGH IN:
Concentrate on saving lives

We should be concentrating our resources on saving lives rather than on satisfying the wishes of some very genuine people.

Where will it end? Let us not compare uterine transplant with kidney, heart, and lung transplants.
Ram A. Singh, MD
Oklahoma City, Oklahoma

No to 35-year-old patient
Assuming, as stated, that the women are healthy and psychosocially approved, to which I would add, they are fully informed on the preparation, medications, procedure, postoperative recovery, and potential complications,I would approve the first 2 cases and disapprove of the last. My reasoning for denying a uterus transplant to the 35-year-old woman is that, after she goes through the process of screening and evaluation, she will be an “elderly gravida,” which in itself has risks. I would also be concerned that all the family members fully understand the potential risks of her undertaking.
Helen T. Jackson, MD
Brookline, Massachusetts

 

 


Share your thoughts on this article!
Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

“WHAT IS THE RISK THAT A PATIENT WILL HAVE AN OCCULT UTERINE CANCER AT MYOMECTOMY?”
ROBERT L. BARBIERI, MD (EXAMINING THE EVIDENCE; APRIL 2015)

More questions than answers?
The data presented by Wright and colleagues on the prevalence of underlying cancer in women who undergo myomectomy is disturbing and thought-provoking.

Are those in the 50-and-older age group who undergo myomectomy different from their same-aged peers with fibroids who do not undergo myomectomy? If so, why? If not, then with a 1 in 154 to 1 in 31 risk of occult malignancy, should not all women 50 years and older with fibroids undergo hysterectomy for this occult risk? This certainly has not been the standard of care for women 50 and older with asymptomatic fibroids. Thoughts?

In conclusion, it appears that power morcellation, or should I say the morcellation issue, has brought forth more questions than answers.
Richard L. Myers, MD
Jacksonville, Florida

Dr. Barbieri responds
I agree with Dr. Myers: Women aged 50 and older who have fibroids and undergo myomectomy must be clinically different than women of the same age who have fibroids but do not undergo myomectomy. It is likely that the women who undergo myomectomy have larger pelvic tumors or are more symptomatic than those who do not undergo myomectomy. I think this demonstrates that gynecologists are successfully identifying those women with a pelvic mass thought to be due to fibroids with the greatest risk of occult cancer and recommending that those women undergo surgery, while simultaneously recommending expectant management for those at lowest risk of an occult cancer.


“UPDATE ON MINIMALLY INVASIVE gynecologic SURGERY”
AMY L. GARCIA, MD (APRIL 2015)

Additional tips for in-office hysteroscopy
Thank you for the excellent coverage of hysteroscopy in the April issue. For me, patient trust is extremely important. Before I begin in-office hysteroscopy, I explain how the procedure is performed and answer all questions. I reassure the patient that, if it is too painful, I will stop and we will move to the operating room. I find music to be distracting to me as I am talking and constantly reassuring her.

In addition, I don’t perform the procedure when the patient is menstruating as it decreases visibility and I don’t want the intrauterine lidocaine to enter open vessels. It is helpful to perform this procedure shortly after menses and prior to ovulation to avoid instrumenting a pregnant uterus. Even if the menses is normal in timing and flow, a pregnancy test is still performed prior to the procedure. Doing it in this time period also can offer better visibility, as the endometrium is thinner.

I prescribe oral misoprostol the night before (400 mg, or 200 mg if she has undergone a cesarean delivery). The patient also is instructed to take ibuprofen 800 mg 1 hour prior to the procedure.

I continuously tell the patient what to expect. First, I perform a bimanual exam to determine the uterine position. Then local anesthesia placed on the anterior lip of the cervix prevents pain when placing the tenaculum. A paracervical block is performed and lidocaine jelly is placed in the cervix. Using an angiocatheter, I inject 4 mL of 2% lidocaine into the uterus and then wait 3 minutes.

It is important to only use the amount of fluid necessary to avoid overdistending the uterus. I take care to avoid touching the fundus, as this increases pain. I use a 4-mm 30˚ scope. I agree that the pain is dependent on physician expertise and procedure length.

If the cavity is clean, I perform a thorough endometrial biopsy that causes minimal pain because of the intrauterine lidocaine. I recently started doing in-office diagnostic hysteroscopy again. When I did it years ago without intrauterine lidocaine, it was unacceptably painful. I have performed 25 cases, all of which were successful, including on postmenopausal patients. All of the patients reported being highly satisfied and glad to have had the procedure performed in the office.
Ray Wertheim, MD

Fairfax, Virginia

Would you approve this candidate for uterus transplantation?

“UTERUS TRANSPLANTATION: MEDICAL BREAKTHROUGH OR SURGICAL FOLLY?”
ROBERT L. BARBIERI, MD (EDITORIAL; APRIL 2015)

Instant Poll
Dr. Barbieri presented 3 cases to readers in his recent editorial on uterus transplantation and asked, “Would you approve or disapprove of transplantation of the uterus in these cases?”

  1. 23-year-old Army sergeant (G0) injured by improvised explosive device. To save her life, military surgeons removed her uterus, which had been lacerated in the explosion. She requested uterus transplantation to pursue a pregnancy. The Department of Defense has approved her request.
  2. 30-year-old woman (G0) with congenital absence of the uterus who is a devout member of a religious community in which the tenets of faith prohibit gestational carriers. Rather than pursue adoption, she is seeking a uterus transplantation to pursue a pregnancy.
  3. 35-year-old woman (G1P1) who had her uterus removed to treat cervical cancer. She has been disease-free for 3 years. She would like a uterus transplant to pursue a pregnancy.

READERS WEIGH IN:
Concentrate on saving lives

We should be concentrating our resources on saving lives rather than on satisfying the wishes of some very genuine people.

Where will it end? Let us not compare uterine transplant with kidney, heart, and lung transplants.
Ram A. Singh, MD
Oklahoma City, Oklahoma

No to 35-year-old patient
Assuming, as stated, that the women are healthy and psychosocially approved, to which I would add, they are fully informed on the preparation, medications, procedure, postoperative recovery, and potential complications,I would approve the first 2 cases and disapprove of the last. My reasoning for denying a uterus transplant to the 35-year-old woman is that, after she goes through the process of screening and evaluation, she will be an “elderly gravida,” which in itself has risks. I would also be concerned that all the family members fully understand the potential risks of her undertaking.
Helen T. Jackson, MD
Brookline, Massachusetts

 

 


Share your thoughts on this article!
Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

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References

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Robert L. Barbieri MD, Richard L. Myers MD, Amy L. Garcia MD, Ray Wertheim MD, Ram A. Singh MD, Helen T. Jackson MD, occult uterine cancer, myomectomy, fibroid, occult malignancy, hysterectomy, women aged 50 years and older, pelvic tumors, gynecologists, in-office hysterectomy, minimally invasive gynecologic surgery, pain management, intrauterine lidocaine, misoprostol, bimanual examination, uterus transplantation, uterus, cervical cancer, elderly gravida, quick poll results
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Is azithromycin a good alternative to erythromycin for PPROM prophylaxis?

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Is azithromycin a good alternative to erythromycin for PPROM prophylaxis?

The objective of this investigation by Pierson and colleagues was to determine if there was any significant difference between erythyromycin and azithromycin, used in combination with ampicillin, for prophylaxis in women with PPROM.

Details of the study
The authors conducted a retrospective study of 168 women at 24 to 34 weeks’ gestation. At the discretion of the attending physician, patients received either ampicillin plus erythromycin or ampicillin plus azithromycin as their prophylactic antibiotic regimen. Patients were excluded from the study if they had a cerclage, a multiple gestation, a history of amniocentesis or fetal surgery, a history of abdominal trauma, or if they had a fetus with a lethal anomaly.

The primary study end point was the duration of the latency period between rupture of membranes and onset of labor. The secondary outcomes were gestational age at delivery, adverse drug effects, neonatal birth weight, Apgar scores, and rates of neonatal death, respiratory distress syndrome, and sepsis.

The mean (SD) duration of the latent period was 9.4 (10.4) days in the azithromycin group and 9.6 (13.2) days in the erythromycin group (P = .4). There also were no significant differences in any of the secondary outcome measures. Accordingly, the authors concluded that azithromycin was an acceptable alternative to erythromycin in the prophylactic antibiotic regimen for patients with PPROM.

Several factors make azithromycin the favored PPROM prophylactic option
In the original Maternal-Fetal Medicine Network trial of prophylactic antibiotics for PPROM, Mercer and colleagues1 used the combination regimen of ampicillin plus erythromycin. In this regimen, ampicillin primarily targets group B streptococci and Escherichia coli. Erythromycin specifically targets mycoplasma organisms, which can be part of the polymicrobial flora that causes chorioamnionitis. The drug also is effective against chlamydia.

However, erythromycin may cause troublesome gastrointestinal adverse effects, notably diarrhea, in some patients. Therefore, in recent years, several investigators have advocated use of azithromycin in lieu of erythromycin. Azithromycin has a similar spectrum of activity as erythromycin, but it has a more favorable pharmacokinetic profile. When given in a single oral dose of 1,000 mg, it has a half-life of 68 hours, compared with erythromycin’s half-life of 1.6 hours. Thus, it is much easier to administer. Moreover, it is usually much better tolerated than erythromycin and, now that generic versions of the drug are available, it is relatively inexpensive.

WHAT THIS EVIDENCE MEANS FOR PRACTICE
Although this study is retrospective (Level II evidence), it is the first to demonstrate that, from the perspective of clinical effectiveness, azithromycin is comparable to erythromycin when used in combination with ampicillin for prophylaxis in patients with PPROM. For the reasons outlined above, I strongly favor azithromycin in lieu of erythromycin.
At our center we administer the drug in a single 1,000-mg oral dose. If the patient cannot tolerate oral medication at the time of admission, the drug can be administered intravenously.

Share your thoughts on this article! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

References

Reference

  1. Mercer BM, Miodovnik M, Thurnau GR, et al. Antibiotic therapy for reduction of infant morbidity after preterm premature rupture of the membranes. A randomized controlled trial. National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network. JAMA. 1997;278(12):989–995.
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The objective of this investigation by Pierson and colleagues was to determine if there was any significant difference between erythyromycin and azithromycin, used in combination with ampicillin, for prophylaxis in women with PPROM.

Details of the study
The authors conducted a retrospective study of 168 women at 24 to 34 weeks’ gestation. At the discretion of the attending physician, patients received either ampicillin plus erythromycin or ampicillin plus azithromycin as their prophylactic antibiotic regimen. Patients were excluded from the study if they had a cerclage, a multiple gestation, a history of amniocentesis or fetal surgery, a history of abdominal trauma, or if they had a fetus with a lethal anomaly.

The primary study end point was the duration of the latency period between rupture of membranes and onset of labor. The secondary outcomes were gestational age at delivery, adverse drug effects, neonatal birth weight, Apgar scores, and rates of neonatal death, respiratory distress syndrome, and sepsis.

The mean (SD) duration of the latent period was 9.4 (10.4) days in the azithromycin group and 9.6 (13.2) days in the erythromycin group (P = .4). There also were no significant differences in any of the secondary outcome measures. Accordingly, the authors concluded that azithromycin was an acceptable alternative to erythromycin in the prophylactic antibiotic regimen for patients with PPROM.

Several factors make azithromycin the favored PPROM prophylactic option
In the original Maternal-Fetal Medicine Network trial of prophylactic antibiotics for PPROM, Mercer and colleagues1 used the combination regimen of ampicillin plus erythromycin. In this regimen, ampicillin primarily targets group B streptococci and Escherichia coli. Erythromycin specifically targets mycoplasma organisms, which can be part of the polymicrobial flora that causes chorioamnionitis. The drug also is effective against chlamydia.

However, erythromycin may cause troublesome gastrointestinal adverse effects, notably diarrhea, in some patients. Therefore, in recent years, several investigators have advocated use of azithromycin in lieu of erythromycin. Azithromycin has a similar spectrum of activity as erythromycin, but it has a more favorable pharmacokinetic profile. When given in a single oral dose of 1,000 mg, it has a half-life of 68 hours, compared with erythromycin’s half-life of 1.6 hours. Thus, it is much easier to administer. Moreover, it is usually much better tolerated than erythromycin and, now that generic versions of the drug are available, it is relatively inexpensive.

WHAT THIS EVIDENCE MEANS FOR PRACTICE
Although this study is retrospective (Level II evidence), it is the first to demonstrate that, from the perspective of clinical effectiveness, azithromycin is comparable to erythromycin when used in combination with ampicillin for prophylaxis in patients with PPROM. For the reasons outlined above, I strongly favor azithromycin in lieu of erythromycin.
At our center we administer the drug in a single 1,000-mg oral dose. If the patient cannot tolerate oral medication at the time of admission, the drug can be administered intravenously.

Share your thoughts on this article! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

The objective of this investigation by Pierson and colleagues was to determine if there was any significant difference between erythyromycin and azithromycin, used in combination with ampicillin, for prophylaxis in women with PPROM.

Details of the study
The authors conducted a retrospective study of 168 women at 24 to 34 weeks’ gestation. At the discretion of the attending physician, patients received either ampicillin plus erythromycin or ampicillin plus azithromycin as their prophylactic antibiotic regimen. Patients were excluded from the study if they had a cerclage, a multiple gestation, a history of amniocentesis or fetal surgery, a history of abdominal trauma, or if they had a fetus with a lethal anomaly.

The primary study end point was the duration of the latency period between rupture of membranes and onset of labor. The secondary outcomes were gestational age at delivery, adverse drug effects, neonatal birth weight, Apgar scores, and rates of neonatal death, respiratory distress syndrome, and sepsis.

The mean (SD) duration of the latent period was 9.4 (10.4) days in the azithromycin group and 9.6 (13.2) days in the erythromycin group (P = .4). There also were no significant differences in any of the secondary outcome measures. Accordingly, the authors concluded that azithromycin was an acceptable alternative to erythromycin in the prophylactic antibiotic regimen for patients with PPROM.

Several factors make azithromycin the favored PPROM prophylactic option
In the original Maternal-Fetal Medicine Network trial of prophylactic antibiotics for PPROM, Mercer and colleagues1 used the combination regimen of ampicillin plus erythromycin. In this regimen, ampicillin primarily targets group B streptococci and Escherichia coli. Erythromycin specifically targets mycoplasma organisms, which can be part of the polymicrobial flora that causes chorioamnionitis. The drug also is effective against chlamydia.

However, erythromycin may cause troublesome gastrointestinal adverse effects, notably diarrhea, in some patients. Therefore, in recent years, several investigators have advocated use of azithromycin in lieu of erythromycin. Azithromycin has a similar spectrum of activity as erythromycin, but it has a more favorable pharmacokinetic profile. When given in a single oral dose of 1,000 mg, it has a half-life of 68 hours, compared with erythromycin’s half-life of 1.6 hours. Thus, it is much easier to administer. Moreover, it is usually much better tolerated than erythromycin and, now that generic versions of the drug are available, it is relatively inexpensive.

WHAT THIS EVIDENCE MEANS FOR PRACTICE
Although this study is retrospective (Level II evidence), it is the first to demonstrate that, from the perspective of clinical effectiveness, azithromycin is comparable to erythromycin when used in combination with ampicillin for prophylaxis in patients with PPROM. For the reasons outlined above, I strongly favor azithromycin in lieu of erythromycin.
At our center we administer the drug in a single 1,000-mg oral dose. If the patient cannot tolerate oral medication at the time of admission, the drug can be administered intravenously.

Share your thoughts on this article! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

References

Reference

  1. Mercer BM, Miodovnik M, Thurnau GR, et al. Antibiotic therapy for reduction of infant morbidity after preterm premature rupture of the membranes. A randomized controlled trial. National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network. JAMA. 1997;278(12):989–995.
References

Reference

  1. Mercer BM, Miodovnik M, Thurnau GR, et al. Antibiotic therapy for reduction of infant morbidity after preterm premature rupture of the membranes. A randomized controlled trial. National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network. JAMA. 1997;278(12):989–995.
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Building evidence-based medicine skills in gynecology

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Building evidence-based medicine skills in gynecology

Although evidence-based medicine, or EBM, is not a new concept, the phrase is tossed about frequently in today’s culture of quality improvement initiatives and metrics. What does EBM really mean, however, and how do we ensure we are practicing it?

At its heart, EBM integrates 3 components:

  • the individual clinician’s expertise
  • the patient’s values and preferences
  • the best external evidence to guide treatment decisions.

Because each clinician’s skillset and each patient’s issues and preferences may be quite varied, in this article we target the third piece—determining the best external evidence.

Our focus on EBM is not meant to negate the importance of the clinician’s expertise, which has been gained through years of practice. Indeed, without expertise, “practice risks becoming tyrannized by evidence.”1 However, without current best evidence, “practice risks becoming rapidly out of date, to the detriment of patients.”1 With the integration of evidence, expertise, and patient choice, EBM is not “cookbook” medicine, and it is not conducted only from armchairs and ivory towers. Rather, EBM is, or should be, at the frontline of clinical care.

EBM begins with a specific clinical question, such as “What is the best treatment option for my patient?” The answer can be honed with the “PICO” approach, which considers Population, Intervention, Comparators, and Outcomes of interest. Specifically, in a particular patient population (similar to your own patient), how does an intervention impact key outcomes?

For directly comparing intervention options, such as surgery A versus surgery B, a randomized controlled trial (RCT) is one of the best methods to address clinical questions (FIGURE).2 Systematic reviews are more generalizable than single studies since they compare a range of relevant interventions across populations and settings. Evaluations of diagnostic test accuracy3,4or analyses of risk factors or natural history are best addressed by other study designs, which also can provide important evidence, but will not be discussed in depth here.

In this article, we focus on the benefits of RCTs and systematic reviews, as well as when to exhibit caution, for instance when RCTs report “surrogate outcomes” or make analyses drawn from subgroups of the original population. In addition, we discuss the inability to adequately assess treatment harms (versus benefits) from available evidence as well as the practicalities of how to apply EBM to patients.

RCTs: The good, the bad, and the ugly
RCTs are prospective experiments with a predefined protocol in which patients are randomly allocated to groups where the only difference is the intervention (vs comparators). This design helps to minimize the effects of known and unknown confounders and selection bias.

Ideally, the group into which a study participant is allocated is concealed from the patient and from the caregiver, minimizing the risk that the randomization is broken and the treatment allocation is biased. (Frequently this is not possible, however, particularly for surgical interventions.) Similarly, ideally, the outcome assessors are blinded to the treatment whenever possible. This minimizes the risk of a patient’s outcome being consciously or unconsciously altered due to the outcome assessor’s beliefs about the effectiveness of the intervention.

The reported clinical or surrogate outcomes (which will be discussed in more depth on the next page) for an RCT may be objective or subjective. Preferably, outcomes are patient-centered—important from the patient’s perspective of benefits and harms. Examples of these types of outcomes include survival, function, symptoms, and health-related quality of life, as well as impact on work and family, convenience, and cost. Patients likely are less interested in estimated blood loss, surgical time, biochemistry results, and other clinical or surrogate outcomes.

There are disadvantages to RCTs. For instance, each study provides only a snapshot of the evidence on a given topic. One study rarely, if ever, provides a definitive conclusion. The study’s findings are subject to random error and to biases introduced by study design or analytic methods, and they will not be generalizable to all patients and settings. In addition, the study likely has evaluated only 1 or 2 specific interventions among a plethora of available options, and is unlikely to have analyzed all outcomes of interest.

It becomes your burden to assess whether a trial’s findings are applicable to an actual patient (known as “external validity”). Because an RCT must artificially constrain the underlying clinical questions into a testable research question, translation to the specific patient is often flawed. Perhaps the patient does not precisely fit the inclusion criteria of the trial, for instance, or the exact intervention tested is not fully reproducible. From a practicality perspective, an RCT is often immensely costly to execute, which may be reflected in relatively small numbers of patients and short-term duration of follow-up. These disadvantages limit the ability of RCTs to assess harms, rare events, and long-term outcomes.

 

 

Surrogate outcomes
Outcomes measured in a trial should be relevant, easy to interpret and diagnose, sensitive to treatment differences, and measurable within a reasonable period of time. However, these characteristics are not always achievable for important clinical outcomes in an RCT. Therefore, a surrogate outcome may take the place of the true clinical efficacy measurement.

For example, in studies of interventions for infertility in patients with polycystic ovary syndrome (PCOS), common surrogates to the “true” desired outcome of a healthy live birth may include ovulation, implantation, or pregnancy rates. These surrogate outcomes may correlate with live birth but clearly ignore other factors extrinsic and intrinsic to PCOS that affect the chance for a healthy term delivery; the possible increased risk for miscarriage in PCOS; and increased risks of other pregnancy complications, such as preeclampsia and gestational diabetes.

Similarly, many trials of oral contraceptives that aim to study the clinical endpoint of pulmonary embolism or venous thromboembolism, which are rare events, instead use the surrogates of results of coagulation tests or levels of sex hormone-binding globulin. Clearly, caution must be exercised when interpreting studies that use surrogate outcomes. As the clinician, you must recognize that a change in a biologic or physical measurement may not be clinically relevant. Some judgment is required about causal pathways: The less that is known about the causal pathway of a disease, the less confident one should be in any surrogate outcome.

Finally, clinicians also must recognize that a valid surrogate for one treatment may not be valid for another treatment or another population.5 For example, ovulation inhibition would be an appropriate surrogate endpoint for contraceptive efficacy for a method that reliably prevents ovulation; however, this would not be a good surrogate outcome to evaluate the progestin-only pill, which fails to inhibit ovulation completely and yet is highly effective in contraceptive trials.

Avoiding pitfalls with subgroup analyses
It is common, particularly in large RCTs, to evaluate treatment effects for a specific endpoint in a subgroup of patients included in the trial. The goal is to determine whether the findings of the larger study apply more or less to a specific patient (who may differ from the total population by some important characteristic, such as age, weight, parity, or menopausal or smoking status). The variability in study results when stratified by these patient factors is known as heterogeneity of treatment effect, which may be quantitative or qualitative.6

In the former, one treatment is always better than the other, although by varying degrees depending on the subgroup. (For example, a stronger effect could be seen in those aged 65 and younger than in those older than 65.) In the latter, the treatment fares better than the comparator in one subgroup but worse or no different for another subgroup. In either case, the appropriate statistical tool to identify heterogeneity of treatment effect is a test for interaction between the characteristic and the treatment effect, rather than claiming heterogeneity on the basis of separate tests of treatment effects within the different subpopulations.

One problem with dividing the original population into smaller subpopulations is that the number of participants decreases—thus there is less power, or less statistical strength, to identify a treatment effect. More accurately, there is a greater likelihood of a type II error (a false negative) when these small subpopulations have too few patients to demonstrate a clinical treatment effect that actually may exist.

False positives. Paradoxically, another problem with subgroup analyses is a greater chance for false positives due to the multiple statistical testing that is performed. The original study is rarely powered appropriately to do this (see “Error rates in subgroup analyses”). According to Wang and colleagues, “It is common practice to conduct a subgroup analysis for each of several (and often many) baseline characteristics, for each of several endpoints, or for both.”7 The more subgroup analyses performed, the more likely that differences found are due to chance only. Unfortunately, in unplanned post hoc analyses, the number of tests performed is often unreported; therefore, the error rates are unknown. There are statistical methods to try and correct for this “multiplicity” problem but, ideally, only a few key subgroup analyses are performed, and they are planned a priori in the original study design. In these cases, the study’s size can be adjusted accordingly. In most instances, findings from subgroup analyses, whether positive or negative, should be considered as “hypothesis generating” and interpreted with caution.

Error rates in subgroup analyses

With “k” independent subgroups and no difference in treatments, the probability of at least one “significant” subgroup (such as a false positive) is 1 – (1-α)k.

If α = 0.05 and there are k = 10 subgroups, then 1 – (0.95)10 = 0.40. That is, if 10 subgroup analyses are performed, there is a 40% likelihood that 1 will demonstrate a “significant” difference in treatment effect, even though no difference exists.

 

 

Systematic reviews: What, why, and how?
Systematic reviews aim to overcome the deficiencies of single studies in a comprehensive and unbiased manner. They critically evaluate, summarize, and, when possible, combine all available studies addressing a given topic. By comparing a range of relevant interventions across populations and settings, systematic reviews may be more generalizable than single studies. Meta-analysis, or quantitatively combining study results, increases sample size and usually provides more precise estimates of effect sizes than the single studies. Critical appraisal of the combined studies can highlight methodologic and other concerns about the body of evidence to assess the overall confidence in the included studies.

A systematic review, like a well-conducted RCT, has a protocol that lays out the scope of the review and defines a priori criteria and analytic plans—all with the goal of minimizing bias. It starts with a well-formulated research question, explicitly defining the PICO elements—population, interventions, comparators, outcomes—in addition to the setting and study designs of interest.8 Based on these eligibility criteria, several sources of evidence (such as electronic databases and reference lists) are searched to find all potentially eligible studies.

Typically, several thousand citations are found that must be matched against the eligibility criteria. Potentially eligible studies are then rescreened in full text to further scrutinize their eligibility. The goal is to be highly sensitive to avoid missing relevant studies—even at the time cost of screening many articles. The individual study designs (including the study eligibility criteria, interventions, outcomes, and analytic methods) and the results for all outcomes of interest are extracted from each study.

For most systematic reviews, researchers also will assess the quality, or risk of bias, of each study for each outcome.9,10 Study data are summarized across all included studies, with study results meta-analyzed and reasons for heterogeneity across studies explored. Several consensus statements detail the proper methodology to conduct and report a systematic review.11,12 Ultimately, the review’s conclusions are based on analyses of all available evidence. By contrast, narrative reviews typically  start with a conclusion and then select evidence to support that conclusion, and are therefore more likely to be biased.13

As noted, systematic reviews often include meta-analysis, which may allow an exploration of some reasons for study heterogeneity. The meta-analysis is usually presented graphically in a forest plot, which displays point estimates for each study with their associated 95% confidence intervals and a description of each study.14 In a forest plot, one can see the estimate and precision of each study, assess the heterogeneity of results across studies, and compare individual studies to each other and to the overall summary estimate.

Systematic reviews should be read as critically as primary studies. Some important questions you should consider are:

  • Did the review address the populations, interventions, comparators, outcomes, and settings relevant to your practice?
  • Have studies been included in a nonbiased manner, and is the described body of evidence likely to be complete?
  • Did the study authors evaluate and summarize the underlying risks of bias of the studies?
  • Did the researchers avoid combining studies that are too different from each other to allow a coherent interpretation of the summary results?
  • Did the researchers attempt to explain how and why studies differed from one another?

Of note, systematic reviews and meta-analyses are subject to the same biases as all retrospective studies. Also, the systematic reviewers’ own biases—due to factors such as funding source, researchers’ agendas, or specialties—may subtly affect systematic reviews just as biases may affect an individual study. Furthermore, the confidence you have in a systematic review’s conclusions may be limited by the quality and generalizability of the underlying studies.

Assessing harms
You make the ultimate management decisions for your patient (though, of course, with her participation). The likely benefit of a specific treatment—determined in an experimental trial and refined further in a systematic review and meta-analysis—must be balanced with the risk of harms. RCTs usually do not provide the highest quality evidence of harms due to their limited sample sizes and short follow-up duration. Rather, large observational studies, case series, and case reports commonly provide these important details. Increasingly, patient registries are being created to prospectively follow patients and gather uniform safety data. By providing a true denominator, more accurate estimates of adverse event incidence are possible. However, the disadvantages of all of these modalities are 1) there usually are no comparators (that is, “How does the adverse event incidence for surgery A compare to that for surgery B?”) and 2) data usually are gleaned from medical records and not directly from patients.

 

 

As a result, these studies typically lack information on subjective harms, such as impaired sexual function. The reporting of treatment harms suffers from inconsistent and imprecise terminology, making it hard to reliably gather all reports of similar adverse events. Adverse event reporting in clinical trials is often driven by regulatory definitions and requirements instead of patient-centered definitions. In fact, there has been little work to date that assesses which adverse events or complications may be most relevant or important from the patient perspective.

Taken together, it is clear that the medical literature tends to emphasize treatment benefits (with robust methodologies and data to detect these benefits) but does not reliably or adequately assess harms. For rare events, risk estimates always will be imprecise. Nonetheless, better systematic reviews and today’s larger comparative effectiveness reviews strive to gather harms data from the multiple available sources described above.

Applying the evidence and your expertise to your patient
Now that you have identified the best valid and important evidence to support or refute a clinical decision (TABLE15), and have coupled this with your own expert knowledge and judgment in shared decision making with your patient, you must communicate to her the personalized information about outcomes, probabilities, and scientific uncertainties of her available treatment options.15 Patients, in turn, should be allowed to communicate their values and the relative importance they place on benefits and harms.16 This conversation, of course, is built on the foundation of a sound physician–patient relationship and is a part of every informed consent process.

Is this evidence applicable to my patient? A decision guide.15

  • Is my patient so different from those in the study that the trial results cannot be applied?
  • Is the treatment feasible in my setting?
  • What are my patient’s likely benefits and harms from the therapy?
  • How will my patient’s values influence the final treatment decision?

Decision tools
Increasingly, decision-aid tools are being developed to support this process. These aids must express the helpful and harmful effects of a treatment, including alternative options, in statements that are valid and concise. Furthermore, they must be intelligible to both the clinician and patient and modifiable to the patient’s values and wishes.17 Two examples of counseling aids are the Gail model of breast cancer risk prediction18 and the Framingham Coronary Heart Disease Prediction Score.19 Web-based decision aids that can be accessed in real-time in busy clinical settings also are being developed for gynecology.20

Never stop re-evaluating
The final piece of EBM is to “close the loop”—meaning to evaluate the effectiveness of applying the evidence in clinical practice. To do this, watch for clinical practice guidelines that are based on systematic reviews and the EBM approach and stay abreast of ACOG’s and other professional societies’ guideline statements. Ultimately, guidelines beget performance measures. Organizations such as the National Quality Forum are working to define these standards of performance measurement and seek feedback from individual clinicians to ensure measures are meaningful and accurate. By 2017, 9% of all Medicare payments are scheduled to be performance based.21

Conclusion
During the course of reading medical literature, stay attuned to comparative effectiveness research and recognize studies with active comparators that examine clinical questions that could impact your day-to-day practice and that can be applied to your patient population. While there is no such thing as a perfect research study, and it is rare that one trial can address any one clinician’s specific patients precisely, increasingly we are seeing better systematic reviews and meta-analyses. It is these studies that provide the high quality data for you to couple with your clinical expertise and your patients’ values and preferences to truly deliver evidence-based medicine.

Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

References

  1. Sackett DL, Rosenberg WM, Gray JA, Haynes RB, Richardson WS. Evidence based medicine: what it is and what it isn’t. BMJ. 1996;312(7023):71–72.
  2. Sackett DL, et al. Evidence-Based Medicine: How to Practice and Teach EBM. 2nd ed. Edinburgh, UK: Churchill Livingstone; 2000.
  3. Knottnerus JA, van Weel C, Muris JW. Evaluation of diagnostic procedures. BMJ. 2002;324(7335):477–480.
  4. Bossuyt PM, Reitsma JB, Bruns DE, et al; Standards for Reporting of Diagnostic Accuracy Group. The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Ann Intern Med. 2003;138(1):W1-W12.
  5. Grimes DA, Schulz KF, Raymond EG. Surrogate end points in women’s health research: science, protoscience, and pseudoscience. Fertil Steril. 2010;93(6):1731–1734.
  6. Lagakos SW. The challenge of subgroup analyses—reporting without distorting. N Engl J Med. 2006;354(16):1667–1669.
  7. Wang R, Lagakos SW, Ware JH, Hunter DJ, Drazen JM. Statistics in medicine—reporting of subgroup analyses in clinical trials. N Engl J Med. 2007;357(21):2189–2194.
  8. Counsell C. Formulating questions and locating primary studies for inclusion in systematic reviews. Ann Intern Med. 1997;127(5):380–387.
  9. Higgins JP, Altman DG, Gøtzsche PC, et al; Cochrane Statistical Methods Group. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928.
  10. Berkman ND, Lohr KN, Ansari M, et al. Grading the Strength of a Body of Evidence When Assessing Health Care Interventions for the Effective Health Care Program of the Agency for Healthcare Research and Quality: An Update. Methods Guide for Effectiveness and Comparative Effectiveness Reviews. Rockville (MD)2008. AHRQ Methods for Effective Health Care. 2013 Nov 18.
  11. Liberati A1, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009;339:b2700.
  12. Institute of Medicine of the National Academies. Finding What Works in Health Care: Standards for Systematic Reviews. iom.edu/Reports/2011/Finding-What-Works-in-Health-Care-Standards-for-Systematic-Reviews.aspx. Published March 23, 2011. Accessed March 20, 2015.
  13. Mulrow CD. The medical review article: state of the science. Ann Intern Med. 1987;106(3):485–488.
  14. Lewis S, Clarke M. Forest plots: trying to see the wood and the trees. BMJ. 2001;322(7300):1479–1480.
  15. Glasziou P, Guyatt GH, Dans AL, Dans LF, Straus S, Sackett DL. Applying the results of trials and systematic reviews to individual patients. ACP J Club. 1998;129(3):A15–A16.
  16. What is shared decision making? Informed Medical Decisions Foundation Web site. http://www.informed medicaldecisions.org/what-is-shared-decision-making. Published 2015. Accessed January 23, 2015. 
  17. Straus SE, Sackett DL. Applying evidence to the individual patient. Ann Oncol. 1999;10(1):29–32.
  18. Rockhill B, Spiegelman D, Byrne C, Hunter DJ, Colditz GA. Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention. J Natl Cancer Inst. 2001;93(5):358–366.
  19. D’Agostino RB Sr, Grundy S, Sullivan LM, Wilson P; CHD Risk Prediction Group. Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. JAMA. 2001;286(2):180–187.
  20. Jelovsek JE, Chagin K, Brubaker L, et al; Pelvic Floor Disorders Network. A model for predicting the risk of de novo stress urinary incontinence in women undergoing pelvic organ prolapse surgery. Obstet Gynecol. 2014;123(2 Pt 1):279–287.
  21. National Quality Forum. What we do. National Quality Forum Web sight. http://www.qualityforum.org/what_we_do.aspx. Published 2015. Accessed January 29, 2015.
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David Rahn, MD; Vivian Sung, MD, MPH; and Ethan Balk, MD, MPH

Experts featured in this article

Dr. Rahn is Associate Professor, Department of Obstetrics & Gynecology, Division of Female Pelvic Medicine & Reconstructive Surgery, University of Texas Southwestern Medical Center, Dallas.

Dr. Sung is Associate Professor, Obstetrics and Gynecology, The Warren Alpert Medical School of Brown University, and Research Director, Division of Urogynecology and Reconstructive Pelvic Surgery, Women & Infants Hospital of Rhode Island, Providence.

Dr. Balk is Assistant Professor (Research), Center for Evidence-Based Medicine, and Associate Director, Brown Evidence-based Practice Center, Brown University School of Public Health, Providence, Rhode Island.

Dr. Sung reports that she receives grant or research support from the National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development. Drs. Balk and Rahn report no financial relationships relevant to this article.

Developed in partnership with the Society of Gynecologic Surgeons and based on workshop content supported by a grant from the American Board of Obstetrics and Gynecology

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David Rahn, MD; Vivian Sung, MD, MPH; and Ethan Balk, MD, MPH

Experts featured in this article

Dr. Rahn is Associate Professor, Department of Obstetrics & Gynecology, Division of Female Pelvic Medicine & Reconstructive Surgery, University of Texas Southwestern Medical Center, Dallas.

Dr. Sung is Associate Professor, Obstetrics and Gynecology, The Warren Alpert Medical School of Brown University, and Research Director, Division of Urogynecology and Reconstructive Pelvic Surgery, Women & Infants Hospital of Rhode Island, Providence.

Dr. Balk is Assistant Professor (Research), Center for Evidence-Based Medicine, and Associate Director, Brown Evidence-based Practice Center, Brown University School of Public Health, Providence, Rhode Island.

Dr. Sung reports that she receives grant or research support from the National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development. Drs. Balk and Rahn report no financial relationships relevant to this article.

Developed in partnership with the Society of Gynecologic Surgeons and based on workshop content supported by a grant from the American Board of Obstetrics and Gynecology

Author and Disclosure Information

David Rahn, MD; Vivian Sung, MD, MPH; and Ethan Balk, MD, MPH

Experts featured in this article

Dr. Rahn is Associate Professor, Department of Obstetrics & Gynecology, Division of Female Pelvic Medicine & Reconstructive Surgery, University of Texas Southwestern Medical Center, Dallas.

Dr. Sung is Associate Professor, Obstetrics and Gynecology, The Warren Alpert Medical School of Brown University, and Research Director, Division of Urogynecology and Reconstructive Pelvic Surgery, Women & Infants Hospital of Rhode Island, Providence.

Dr. Balk is Assistant Professor (Research), Center for Evidence-Based Medicine, and Associate Director, Brown Evidence-based Practice Center, Brown University School of Public Health, Providence, Rhode Island.

Dr. Sung reports that she receives grant or research support from the National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development. Drs. Balk and Rahn report no financial relationships relevant to this article.

Developed in partnership with the Society of Gynecologic Surgeons and based on workshop content supported by a grant from the American Board of Obstetrics and Gynecology

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Related Articles

Although evidence-based medicine, or EBM, is not a new concept, the phrase is tossed about frequently in today’s culture of quality improvement initiatives and metrics. What does EBM really mean, however, and how do we ensure we are practicing it?

At its heart, EBM integrates 3 components:

  • the individual clinician’s expertise
  • the patient’s values and preferences
  • the best external evidence to guide treatment decisions.

Because each clinician’s skillset and each patient’s issues and preferences may be quite varied, in this article we target the third piece—determining the best external evidence.

Our focus on EBM is not meant to negate the importance of the clinician’s expertise, which has been gained through years of practice. Indeed, without expertise, “practice risks becoming tyrannized by evidence.”1 However, without current best evidence, “practice risks becoming rapidly out of date, to the detriment of patients.”1 With the integration of evidence, expertise, and patient choice, EBM is not “cookbook” medicine, and it is not conducted only from armchairs and ivory towers. Rather, EBM is, or should be, at the frontline of clinical care.

EBM begins with a specific clinical question, such as “What is the best treatment option for my patient?” The answer can be honed with the “PICO” approach, which considers Population, Intervention, Comparators, and Outcomes of interest. Specifically, in a particular patient population (similar to your own patient), how does an intervention impact key outcomes?

For directly comparing intervention options, such as surgery A versus surgery B, a randomized controlled trial (RCT) is one of the best methods to address clinical questions (FIGURE).2 Systematic reviews are more generalizable than single studies since they compare a range of relevant interventions across populations and settings. Evaluations of diagnostic test accuracy3,4or analyses of risk factors or natural history are best addressed by other study designs, which also can provide important evidence, but will not be discussed in depth here.

In this article, we focus on the benefits of RCTs and systematic reviews, as well as when to exhibit caution, for instance when RCTs report “surrogate outcomes” or make analyses drawn from subgroups of the original population. In addition, we discuss the inability to adequately assess treatment harms (versus benefits) from available evidence as well as the practicalities of how to apply EBM to patients.

RCTs: The good, the bad, and the ugly
RCTs are prospective experiments with a predefined protocol in which patients are randomly allocated to groups where the only difference is the intervention (vs comparators). This design helps to minimize the effects of known and unknown confounders and selection bias.

Ideally, the group into which a study participant is allocated is concealed from the patient and from the caregiver, minimizing the risk that the randomization is broken and the treatment allocation is biased. (Frequently this is not possible, however, particularly for surgical interventions.) Similarly, ideally, the outcome assessors are blinded to the treatment whenever possible. This minimizes the risk of a patient’s outcome being consciously or unconsciously altered due to the outcome assessor’s beliefs about the effectiveness of the intervention.

The reported clinical or surrogate outcomes (which will be discussed in more depth on the next page) for an RCT may be objective or subjective. Preferably, outcomes are patient-centered—important from the patient’s perspective of benefits and harms. Examples of these types of outcomes include survival, function, symptoms, and health-related quality of life, as well as impact on work and family, convenience, and cost. Patients likely are less interested in estimated blood loss, surgical time, biochemistry results, and other clinical or surrogate outcomes.

There are disadvantages to RCTs. For instance, each study provides only a snapshot of the evidence on a given topic. One study rarely, if ever, provides a definitive conclusion. The study’s findings are subject to random error and to biases introduced by study design or analytic methods, and they will not be generalizable to all patients and settings. In addition, the study likely has evaluated only 1 or 2 specific interventions among a plethora of available options, and is unlikely to have analyzed all outcomes of interest.

It becomes your burden to assess whether a trial’s findings are applicable to an actual patient (known as “external validity”). Because an RCT must artificially constrain the underlying clinical questions into a testable research question, translation to the specific patient is often flawed. Perhaps the patient does not precisely fit the inclusion criteria of the trial, for instance, or the exact intervention tested is not fully reproducible. From a practicality perspective, an RCT is often immensely costly to execute, which may be reflected in relatively small numbers of patients and short-term duration of follow-up. These disadvantages limit the ability of RCTs to assess harms, rare events, and long-term outcomes.

 

 

Surrogate outcomes
Outcomes measured in a trial should be relevant, easy to interpret and diagnose, sensitive to treatment differences, and measurable within a reasonable period of time. However, these characteristics are not always achievable for important clinical outcomes in an RCT. Therefore, a surrogate outcome may take the place of the true clinical efficacy measurement.

For example, in studies of interventions for infertility in patients with polycystic ovary syndrome (PCOS), common surrogates to the “true” desired outcome of a healthy live birth may include ovulation, implantation, or pregnancy rates. These surrogate outcomes may correlate with live birth but clearly ignore other factors extrinsic and intrinsic to PCOS that affect the chance for a healthy term delivery; the possible increased risk for miscarriage in PCOS; and increased risks of other pregnancy complications, such as preeclampsia and gestational diabetes.

Similarly, many trials of oral contraceptives that aim to study the clinical endpoint of pulmonary embolism or venous thromboembolism, which are rare events, instead use the surrogates of results of coagulation tests or levels of sex hormone-binding globulin. Clearly, caution must be exercised when interpreting studies that use surrogate outcomes. As the clinician, you must recognize that a change in a biologic or physical measurement may not be clinically relevant. Some judgment is required about causal pathways: The less that is known about the causal pathway of a disease, the less confident one should be in any surrogate outcome.

Finally, clinicians also must recognize that a valid surrogate for one treatment may not be valid for another treatment or another population.5 For example, ovulation inhibition would be an appropriate surrogate endpoint for contraceptive efficacy for a method that reliably prevents ovulation; however, this would not be a good surrogate outcome to evaluate the progestin-only pill, which fails to inhibit ovulation completely and yet is highly effective in contraceptive trials.

Avoiding pitfalls with subgroup analyses
It is common, particularly in large RCTs, to evaluate treatment effects for a specific endpoint in a subgroup of patients included in the trial. The goal is to determine whether the findings of the larger study apply more or less to a specific patient (who may differ from the total population by some important characteristic, such as age, weight, parity, or menopausal or smoking status). The variability in study results when stratified by these patient factors is known as heterogeneity of treatment effect, which may be quantitative or qualitative.6

In the former, one treatment is always better than the other, although by varying degrees depending on the subgroup. (For example, a stronger effect could be seen in those aged 65 and younger than in those older than 65.) In the latter, the treatment fares better than the comparator in one subgroup but worse or no different for another subgroup. In either case, the appropriate statistical tool to identify heterogeneity of treatment effect is a test for interaction between the characteristic and the treatment effect, rather than claiming heterogeneity on the basis of separate tests of treatment effects within the different subpopulations.

One problem with dividing the original population into smaller subpopulations is that the number of participants decreases—thus there is less power, or less statistical strength, to identify a treatment effect. More accurately, there is a greater likelihood of a type II error (a false negative) when these small subpopulations have too few patients to demonstrate a clinical treatment effect that actually may exist.

False positives. Paradoxically, another problem with subgroup analyses is a greater chance for false positives due to the multiple statistical testing that is performed. The original study is rarely powered appropriately to do this (see “Error rates in subgroup analyses”). According to Wang and colleagues, “It is common practice to conduct a subgroup analysis for each of several (and often many) baseline characteristics, for each of several endpoints, or for both.”7 The more subgroup analyses performed, the more likely that differences found are due to chance only. Unfortunately, in unplanned post hoc analyses, the number of tests performed is often unreported; therefore, the error rates are unknown. There are statistical methods to try and correct for this “multiplicity” problem but, ideally, only a few key subgroup analyses are performed, and they are planned a priori in the original study design. In these cases, the study’s size can be adjusted accordingly. In most instances, findings from subgroup analyses, whether positive or negative, should be considered as “hypothesis generating” and interpreted with caution.

Error rates in subgroup analyses

With “k” independent subgroups and no difference in treatments, the probability of at least one “significant” subgroup (such as a false positive) is 1 – (1-α)k.

If α = 0.05 and there are k = 10 subgroups, then 1 – (0.95)10 = 0.40. That is, if 10 subgroup analyses are performed, there is a 40% likelihood that 1 will demonstrate a “significant” difference in treatment effect, even though no difference exists.

 

 

Systematic reviews: What, why, and how?
Systematic reviews aim to overcome the deficiencies of single studies in a comprehensive and unbiased manner. They critically evaluate, summarize, and, when possible, combine all available studies addressing a given topic. By comparing a range of relevant interventions across populations and settings, systematic reviews may be more generalizable than single studies. Meta-analysis, or quantitatively combining study results, increases sample size and usually provides more precise estimates of effect sizes than the single studies. Critical appraisal of the combined studies can highlight methodologic and other concerns about the body of evidence to assess the overall confidence in the included studies.

A systematic review, like a well-conducted RCT, has a protocol that lays out the scope of the review and defines a priori criteria and analytic plans—all with the goal of minimizing bias. It starts with a well-formulated research question, explicitly defining the PICO elements—population, interventions, comparators, outcomes—in addition to the setting and study designs of interest.8 Based on these eligibility criteria, several sources of evidence (such as electronic databases and reference lists) are searched to find all potentially eligible studies.

Typically, several thousand citations are found that must be matched against the eligibility criteria. Potentially eligible studies are then rescreened in full text to further scrutinize their eligibility. The goal is to be highly sensitive to avoid missing relevant studies—even at the time cost of screening many articles. The individual study designs (including the study eligibility criteria, interventions, outcomes, and analytic methods) and the results for all outcomes of interest are extracted from each study.

For most systematic reviews, researchers also will assess the quality, or risk of bias, of each study for each outcome.9,10 Study data are summarized across all included studies, with study results meta-analyzed and reasons for heterogeneity across studies explored. Several consensus statements detail the proper methodology to conduct and report a systematic review.11,12 Ultimately, the review’s conclusions are based on analyses of all available evidence. By contrast, narrative reviews typically  start with a conclusion and then select evidence to support that conclusion, and are therefore more likely to be biased.13

As noted, systematic reviews often include meta-analysis, which may allow an exploration of some reasons for study heterogeneity. The meta-analysis is usually presented graphically in a forest plot, which displays point estimates for each study with their associated 95% confidence intervals and a description of each study.14 In a forest plot, one can see the estimate and precision of each study, assess the heterogeneity of results across studies, and compare individual studies to each other and to the overall summary estimate.

Systematic reviews should be read as critically as primary studies. Some important questions you should consider are:

  • Did the review address the populations, interventions, comparators, outcomes, and settings relevant to your practice?
  • Have studies been included in a nonbiased manner, and is the described body of evidence likely to be complete?
  • Did the study authors evaluate and summarize the underlying risks of bias of the studies?
  • Did the researchers avoid combining studies that are too different from each other to allow a coherent interpretation of the summary results?
  • Did the researchers attempt to explain how and why studies differed from one another?

Of note, systematic reviews and meta-analyses are subject to the same biases as all retrospective studies. Also, the systematic reviewers’ own biases—due to factors such as funding source, researchers’ agendas, or specialties—may subtly affect systematic reviews just as biases may affect an individual study. Furthermore, the confidence you have in a systematic review’s conclusions may be limited by the quality and generalizability of the underlying studies.

Assessing harms
You make the ultimate management decisions for your patient (though, of course, with her participation). The likely benefit of a specific treatment—determined in an experimental trial and refined further in a systematic review and meta-analysis—must be balanced with the risk of harms. RCTs usually do not provide the highest quality evidence of harms due to their limited sample sizes and short follow-up duration. Rather, large observational studies, case series, and case reports commonly provide these important details. Increasingly, patient registries are being created to prospectively follow patients and gather uniform safety data. By providing a true denominator, more accurate estimates of adverse event incidence are possible. However, the disadvantages of all of these modalities are 1) there usually are no comparators (that is, “How does the adverse event incidence for surgery A compare to that for surgery B?”) and 2) data usually are gleaned from medical records and not directly from patients.

 

 

As a result, these studies typically lack information on subjective harms, such as impaired sexual function. The reporting of treatment harms suffers from inconsistent and imprecise terminology, making it hard to reliably gather all reports of similar adverse events. Adverse event reporting in clinical trials is often driven by regulatory definitions and requirements instead of patient-centered definitions. In fact, there has been little work to date that assesses which adverse events or complications may be most relevant or important from the patient perspective.

Taken together, it is clear that the medical literature tends to emphasize treatment benefits (with robust methodologies and data to detect these benefits) but does not reliably or adequately assess harms. For rare events, risk estimates always will be imprecise. Nonetheless, better systematic reviews and today’s larger comparative effectiveness reviews strive to gather harms data from the multiple available sources described above.

Applying the evidence and your expertise to your patient
Now that you have identified the best valid and important evidence to support or refute a clinical decision (TABLE15), and have coupled this with your own expert knowledge and judgment in shared decision making with your patient, you must communicate to her the personalized information about outcomes, probabilities, and scientific uncertainties of her available treatment options.15 Patients, in turn, should be allowed to communicate their values and the relative importance they place on benefits and harms.16 This conversation, of course, is built on the foundation of a sound physician–patient relationship and is a part of every informed consent process.

Is this evidence applicable to my patient? A decision guide.15

  • Is my patient so different from those in the study that the trial results cannot be applied?
  • Is the treatment feasible in my setting?
  • What are my patient’s likely benefits and harms from the therapy?
  • How will my patient’s values influence the final treatment decision?

Decision tools
Increasingly, decision-aid tools are being developed to support this process. These aids must express the helpful and harmful effects of a treatment, including alternative options, in statements that are valid and concise. Furthermore, they must be intelligible to both the clinician and patient and modifiable to the patient’s values and wishes.17 Two examples of counseling aids are the Gail model of breast cancer risk prediction18 and the Framingham Coronary Heart Disease Prediction Score.19 Web-based decision aids that can be accessed in real-time in busy clinical settings also are being developed for gynecology.20

Never stop re-evaluating
The final piece of EBM is to “close the loop”—meaning to evaluate the effectiveness of applying the evidence in clinical practice. To do this, watch for clinical practice guidelines that are based on systematic reviews and the EBM approach and stay abreast of ACOG’s and other professional societies’ guideline statements. Ultimately, guidelines beget performance measures. Organizations such as the National Quality Forum are working to define these standards of performance measurement and seek feedback from individual clinicians to ensure measures are meaningful and accurate. By 2017, 9% of all Medicare payments are scheduled to be performance based.21

Conclusion
During the course of reading medical literature, stay attuned to comparative effectiveness research and recognize studies with active comparators that examine clinical questions that could impact your day-to-day practice and that can be applied to your patient population. While there is no such thing as a perfect research study, and it is rare that one trial can address any one clinician’s specific patients precisely, increasingly we are seeing better systematic reviews and meta-analyses. It is these studies that provide the high quality data for you to couple with your clinical expertise and your patients’ values and preferences to truly deliver evidence-based medicine.

Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

Although evidence-based medicine, or EBM, is not a new concept, the phrase is tossed about frequently in today’s culture of quality improvement initiatives and metrics. What does EBM really mean, however, and how do we ensure we are practicing it?

At its heart, EBM integrates 3 components:

  • the individual clinician’s expertise
  • the patient’s values and preferences
  • the best external evidence to guide treatment decisions.

Because each clinician’s skillset and each patient’s issues and preferences may be quite varied, in this article we target the third piece—determining the best external evidence.

Our focus on EBM is not meant to negate the importance of the clinician’s expertise, which has been gained through years of practice. Indeed, without expertise, “practice risks becoming tyrannized by evidence.”1 However, without current best evidence, “practice risks becoming rapidly out of date, to the detriment of patients.”1 With the integration of evidence, expertise, and patient choice, EBM is not “cookbook” medicine, and it is not conducted only from armchairs and ivory towers. Rather, EBM is, or should be, at the frontline of clinical care.

EBM begins with a specific clinical question, such as “What is the best treatment option for my patient?” The answer can be honed with the “PICO” approach, which considers Population, Intervention, Comparators, and Outcomes of interest. Specifically, in a particular patient population (similar to your own patient), how does an intervention impact key outcomes?

For directly comparing intervention options, such as surgery A versus surgery B, a randomized controlled trial (RCT) is one of the best methods to address clinical questions (FIGURE).2 Systematic reviews are more generalizable than single studies since they compare a range of relevant interventions across populations and settings. Evaluations of diagnostic test accuracy3,4or analyses of risk factors or natural history are best addressed by other study designs, which also can provide important evidence, but will not be discussed in depth here.

In this article, we focus on the benefits of RCTs and systematic reviews, as well as when to exhibit caution, for instance when RCTs report “surrogate outcomes” or make analyses drawn from subgroups of the original population. In addition, we discuss the inability to adequately assess treatment harms (versus benefits) from available evidence as well as the practicalities of how to apply EBM to patients.

RCTs: The good, the bad, and the ugly
RCTs are prospective experiments with a predefined protocol in which patients are randomly allocated to groups where the only difference is the intervention (vs comparators). This design helps to minimize the effects of known and unknown confounders and selection bias.

Ideally, the group into which a study participant is allocated is concealed from the patient and from the caregiver, minimizing the risk that the randomization is broken and the treatment allocation is biased. (Frequently this is not possible, however, particularly for surgical interventions.) Similarly, ideally, the outcome assessors are blinded to the treatment whenever possible. This minimizes the risk of a patient’s outcome being consciously or unconsciously altered due to the outcome assessor’s beliefs about the effectiveness of the intervention.

The reported clinical or surrogate outcomes (which will be discussed in more depth on the next page) for an RCT may be objective or subjective. Preferably, outcomes are patient-centered—important from the patient’s perspective of benefits and harms. Examples of these types of outcomes include survival, function, symptoms, and health-related quality of life, as well as impact on work and family, convenience, and cost. Patients likely are less interested in estimated blood loss, surgical time, biochemistry results, and other clinical or surrogate outcomes.

There are disadvantages to RCTs. For instance, each study provides only a snapshot of the evidence on a given topic. One study rarely, if ever, provides a definitive conclusion. The study’s findings are subject to random error and to biases introduced by study design or analytic methods, and they will not be generalizable to all patients and settings. In addition, the study likely has evaluated only 1 or 2 specific interventions among a plethora of available options, and is unlikely to have analyzed all outcomes of interest.

It becomes your burden to assess whether a trial’s findings are applicable to an actual patient (known as “external validity”). Because an RCT must artificially constrain the underlying clinical questions into a testable research question, translation to the specific patient is often flawed. Perhaps the patient does not precisely fit the inclusion criteria of the trial, for instance, or the exact intervention tested is not fully reproducible. From a practicality perspective, an RCT is often immensely costly to execute, which may be reflected in relatively small numbers of patients and short-term duration of follow-up. These disadvantages limit the ability of RCTs to assess harms, rare events, and long-term outcomes.

 

 

Surrogate outcomes
Outcomes measured in a trial should be relevant, easy to interpret and diagnose, sensitive to treatment differences, and measurable within a reasonable period of time. However, these characteristics are not always achievable for important clinical outcomes in an RCT. Therefore, a surrogate outcome may take the place of the true clinical efficacy measurement.

For example, in studies of interventions for infertility in patients with polycystic ovary syndrome (PCOS), common surrogates to the “true” desired outcome of a healthy live birth may include ovulation, implantation, or pregnancy rates. These surrogate outcomes may correlate with live birth but clearly ignore other factors extrinsic and intrinsic to PCOS that affect the chance for a healthy term delivery; the possible increased risk for miscarriage in PCOS; and increased risks of other pregnancy complications, such as preeclampsia and gestational diabetes.

Similarly, many trials of oral contraceptives that aim to study the clinical endpoint of pulmonary embolism or venous thromboembolism, which are rare events, instead use the surrogates of results of coagulation tests or levels of sex hormone-binding globulin. Clearly, caution must be exercised when interpreting studies that use surrogate outcomes. As the clinician, you must recognize that a change in a biologic or physical measurement may not be clinically relevant. Some judgment is required about causal pathways: The less that is known about the causal pathway of a disease, the less confident one should be in any surrogate outcome.

Finally, clinicians also must recognize that a valid surrogate for one treatment may not be valid for another treatment or another population.5 For example, ovulation inhibition would be an appropriate surrogate endpoint for contraceptive efficacy for a method that reliably prevents ovulation; however, this would not be a good surrogate outcome to evaluate the progestin-only pill, which fails to inhibit ovulation completely and yet is highly effective in contraceptive trials.

Avoiding pitfalls with subgroup analyses
It is common, particularly in large RCTs, to evaluate treatment effects for a specific endpoint in a subgroup of patients included in the trial. The goal is to determine whether the findings of the larger study apply more or less to a specific patient (who may differ from the total population by some important characteristic, such as age, weight, parity, or menopausal or smoking status). The variability in study results when stratified by these patient factors is known as heterogeneity of treatment effect, which may be quantitative or qualitative.6

In the former, one treatment is always better than the other, although by varying degrees depending on the subgroup. (For example, a stronger effect could be seen in those aged 65 and younger than in those older than 65.) In the latter, the treatment fares better than the comparator in one subgroup but worse or no different for another subgroup. In either case, the appropriate statistical tool to identify heterogeneity of treatment effect is a test for interaction between the characteristic and the treatment effect, rather than claiming heterogeneity on the basis of separate tests of treatment effects within the different subpopulations.

One problem with dividing the original population into smaller subpopulations is that the number of participants decreases—thus there is less power, or less statistical strength, to identify a treatment effect. More accurately, there is a greater likelihood of a type II error (a false negative) when these small subpopulations have too few patients to demonstrate a clinical treatment effect that actually may exist.

False positives. Paradoxically, another problem with subgroup analyses is a greater chance for false positives due to the multiple statistical testing that is performed. The original study is rarely powered appropriately to do this (see “Error rates in subgroup analyses”). According to Wang and colleagues, “It is common practice to conduct a subgroup analysis for each of several (and often many) baseline characteristics, for each of several endpoints, or for both.”7 The more subgroup analyses performed, the more likely that differences found are due to chance only. Unfortunately, in unplanned post hoc analyses, the number of tests performed is often unreported; therefore, the error rates are unknown. There are statistical methods to try and correct for this “multiplicity” problem but, ideally, only a few key subgroup analyses are performed, and they are planned a priori in the original study design. In these cases, the study’s size can be adjusted accordingly. In most instances, findings from subgroup analyses, whether positive or negative, should be considered as “hypothesis generating” and interpreted with caution.

Error rates in subgroup analyses

With “k” independent subgroups and no difference in treatments, the probability of at least one “significant” subgroup (such as a false positive) is 1 – (1-α)k.

If α = 0.05 and there are k = 10 subgroups, then 1 – (0.95)10 = 0.40. That is, if 10 subgroup analyses are performed, there is a 40% likelihood that 1 will demonstrate a “significant” difference in treatment effect, even though no difference exists.

 

 

Systematic reviews: What, why, and how?
Systematic reviews aim to overcome the deficiencies of single studies in a comprehensive and unbiased manner. They critically evaluate, summarize, and, when possible, combine all available studies addressing a given topic. By comparing a range of relevant interventions across populations and settings, systematic reviews may be more generalizable than single studies. Meta-analysis, or quantitatively combining study results, increases sample size and usually provides more precise estimates of effect sizes than the single studies. Critical appraisal of the combined studies can highlight methodologic and other concerns about the body of evidence to assess the overall confidence in the included studies.

A systematic review, like a well-conducted RCT, has a protocol that lays out the scope of the review and defines a priori criteria and analytic plans—all with the goal of minimizing bias. It starts with a well-formulated research question, explicitly defining the PICO elements—population, interventions, comparators, outcomes—in addition to the setting and study designs of interest.8 Based on these eligibility criteria, several sources of evidence (such as electronic databases and reference lists) are searched to find all potentially eligible studies.

Typically, several thousand citations are found that must be matched against the eligibility criteria. Potentially eligible studies are then rescreened in full text to further scrutinize their eligibility. The goal is to be highly sensitive to avoid missing relevant studies—even at the time cost of screening many articles. The individual study designs (including the study eligibility criteria, interventions, outcomes, and analytic methods) and the results for all outcomes of interest are extracted from each study.

For most systematic reviews, researchers also will assess the quality, or risk of bias, of each study for each outcome.9,10 Study data are summarized across all included studies, with study results meta-analyzed and reasons for heterogeneity across studies explored. Several consensus statements detail the proper methodology to conduct and report a systematic review.11,12 Ultimately, the review’s conclusions are based on analyses of all available evidence. By contrast, narrative reviews typically  start with a conclusion and then select evidence to support that conclusion, and are therefore more likely to be biased.13

As noted, systematic reviews often include meta-analysis, which may allow an exploration of some reasons for study heterogeneity. The meta-analysis is usually presented graphically in a forest plot, which displays point estimates for each study with their associated 95% confidence intervals and a description of each study.14 In a forest plot, one can see the estimate and precision of each study, assess the heterogeneity of results across studies, and compare individual studies to each other and to the overall summary estimate.

Systematic reviews should be read as critically as primary studies. Some important questions you should consider are:

  • Did the review address the populations, interventions, comparators, outcomes, and settings relevant to your practice?
  • Have studies been included in a nonbiased manner, and is the described body of evidence likely to be complete?
  • Did the study authors evaluate and summarize the underlying risks of bias of the studies?
  • Did the researchers avoid combining studies that are too different from each other to allow a coherent interpretation of the summary results?
  • Did the researchers attempt to explain how and why studies differed from one another?

Of note, systematic reviews and meta-analyses are subject to the same biases as all retrospective studies. Also, the systematic reviewers’ own biases—due to factors such as funding source, researchers’ agendas, or specialties—may subtly affect systematic reviews just as biases may affect an individual study. Furthermore, the confidence you have in a systematic review’s conclusions may be limited by the quality and generalizability of the underlying studies.

Assessing harms
You make the ultimate management decisions for your patient (though, of course, with her participation). The likely benefit of a specific treatment—determined in an experimental trial and refined further in a systematic review and meta-analysis—must be balanced with the risk of harms. RCTs usually do not provide the highest quality evidence of harms due to their limited sample sizes and short follow-up duration. Rather, large observational studies, case series, and case reports commonly provide these important details. Increasingly, patient registries are being created to prospectively follow patients and gather uniform safety data. By providing a true denominator, more accurate estimates of adverse event incidence are possible. However, the disadvantages of all of these modalities are 1) there usually are no comparators (that is, “How does the adverse event incidence for surgery A compare to that for surgery B?”) and 2) data usually are gleaned from medical records and not directly from patients.

 

 

As a result, these studies typically lack information on subjective harms, such as impaired sexual function. The reporting of treatment harms suffers from inconsistent and imprecise terminology, making it hard to reliably gather all reports of similar adverse events. Adverse event reporting in clinical trials is often driven by regulatory definitions and requirements instead of patient-centered definitions. In fact, there has been little work to date that assesses which adverse events or complications may be most relevant or important from the patient perspective.

Taken together, it is clear that the medical literature tends to emphasize treatment benefits (with robust methodologies and data to detect these benefits) but does not reliably or adequately assess harms. For rare events, risk estimates always will be imprecise. Nonetheless, better systematic reviews and today’s larger comparative effectiveness reviews strive to gather harms data from the multiple available sources described above.

Applying the evidence and your expertise to your patient
Now that you have identified the best valid and important evidence to support or refute a clinical decision (TABLE15), and have coupled this with your own expert knowledge and judgment in shared decision making with your patient, you must communicate to her the personalized information about outcomes, probabilities, and scientific uncertainties of her available treatment options.15 Patients, in turn, should be allowed to communicate their values and the relative importance they place on benefits and harms.16 This conversation, of course, is built on the foundation of a sound physician–patient relationship and is a part of every informed consent process.

Is this evidence applicable to my patient? A decision guide.15

  • Is my patient so different from those in the study that the trial results cannot be applied?
  • Is the treatment feasible in my setting?
  • What are my patient’s likely benefits and harms from the therapy?
  • How will my patient’s values influence the final treatment decision?

Decision tools
Increasingly, decision-aid tools are being developed to support this process. These aids must express the helpful and harmful effects of a treatment, including alternative options, in statements that are valid and concise. Furthermore, they must be intelligible to both the clinician and patient and modifiable to the patient’s values and wishes.17 Two examples of counseling aids are the Gail model of breast cancer risk prediction18 and the Framingham Coronary Heart Disease Prediction Score.19 Web-based decision aids that can be accessed in real-time in busy clinical settings also are being developed for gynecology.20

Never stop re-evaluating
The final piece of EBM is to “close the loop”—meaning to evaluate the effectiveness of applying the evidence in clinical practice. To do this, watch for clinical practice guidelines that are based on systematic reviews and the EBM approach and stay abreast of ACOG’s and other professional societies’ guideline statements. Ultimately, guidelines beget performance measures. Organizations such as the National Quality Forum are working to define these standards of performance measurement and seek feedback from individual clinicians to ensure measures are meaningful and accurate. By 2017, 9% of all Medicare payments are scheduled to be performance based.21

Conclusion
During the course of reading medical literature, stay attuned to comparative effectiveness research and recognize studies with active comparators that examine clinical questions that could impact your day-to-day practice and that can be applied to your patient population. While there is no such thing as a perfect research study, and it is rare that one trial can address any one clinician’s specific patients precisely, increasingly we are seeing better systematic reviews and meta-analyses. It is these studies that provide the high quality data for you to couple with your clinical expertise and your patients’ values and preferences to truly deliver evidence-based medicine.

Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

References

  1. Sackett DL, Rosenberg WM, Gray JA, Haynes RB, Richardson WS. Evidence based medicine: what it is and what it isn’t. BMJ. 1996;312(7023):71–72.
  2. Sackett DL, et al. Evidence-Based Medicine: How to Practice and Teach EBM. 2nd ed. Edinburgh, UK: Churchill Livingstone; 2000.
  3. Knottnerus JA, van Weel C, Muris JW. Evaluation of diagnostic procedures. BMJ. 2002;324(7335):477–480.
  4. Bossuyt PM, Reitsma JB, Bruns DE, et al; Standards for Reporting of Diagnostic Accuracy Group. The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Ann Intern Med. 2003;138(1):W1-W12.
  5. Grimes DA, Schulz KF, Raymond EG. Surrogate end points in women’s health research: science, protoscience, and pseudoscience. Fertil Steril. 2010;93(6):1731–1734.
  6. Lagakos SW. The challenge of subgroup analyses—reporting without distorting. N Engl J Med. 2006;354(16):1667–1669.
  7. Wang R, Lagakos SW, Ware JH, Hunter DJ, Drazen JM. Statistics in medicine—reporting of subgroup analyses in clinical trials. N Engl J Med. 2007;357(21):2189–2194.
  8. Counsell C. Formulating questions and locating primary studies for inclusion in systematic reviews. Ann Intern Med. 1997;127(5):380–387.
  9. Higgins JP, Altman DG, Gøtzsche PC, et al; Cochrane Statistical Methods Group. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928.
  10. Berkman ND, Lohr KN, Ansari M, et al. Grading the Strength of a Body of Evidence When Assessing Health Care Interventions for the Effective Health Care Program of the Agency for Healthcare Research and Quality: An Update. Methods Guide for Effectiveness and Comparative Effectiveness Reviews. Rockville (MD)2008. AHRQ Methods for Effective Health Care. 2013 Nov 18.
  11. Liberati A1, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009;339:b2700.
  12. Institute of Medicine of the National Academies. Finding What Works in Health Care: Standards for Systematic Reviews. iom.edu/Reports/2011/Finding-What-Works-in-Health-Care-Standards-for-Systematic-Reviews.aspx. Published March 23, 2011. Accessed March 20, 2015.
  13. Mulrow CD. The medical review article: state of the science. Ann Intern Med. 1987;106(3):485–488.
  14. Lewis S, Clarke M. Forest plots: trying to see the wood and the trees. BMJ. 2001;322(7300):1479–1480.
  15. Glasziou P, Guyatt GH, Dans AL, Dans LF, Straus S, Sackett DL. Applying the results of trials and systematic reviews to individual patients. ACP J Club. 1998;129(3):A15–A16.
  16. What is shared decision making? Informed Medical Decisions Foundation Web site. http://www.informed medicaldecisions.org/what-is-shared-decision-making. Published 2015. Accessed January 23, 2015. 
  17. Straus SE, Sackett DL. Applying evidence to the individual patient. Ann Oncol. 1999;10(1):29–32.
  18. Rockhill B, Spiegelman D, Byrne C, Hunter DJ, Colditz GA. Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention. J Natl Cancer Inst. 2001;93(5):358–366.
  19. D’Agostino RB Sr, Grundy S, Sullivan LM, Wilson P; CHD Risk Prediction Group. Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. JAMA. 2001;286(2):180–187.
  20. Jelovsek JE, Chagin K, Brubaker L, et al; Pelvic Floor Disorders Network. A model for predicting the risk of de novo stress urinary incontinence in women undergoing pelvic organ prolapse surgery. Obstet Gynecol. 2014;123(2 Pt 1):279–287.
  21. National Quality Forum. What we do. National Quality Forum Web sight. http://www.qualityforum.org/what_we_do.aspx. Published 2015. Accessed January 29, 2015.
References

  1. Sackett DL, Rosenberg WM, Gray JA, Haynes RB, Richardson WS. Evidence based medicine: what it is and what it isn’t. BMJ. 1996;312(7023):71–72.
  2. Sackett DL, et al. Evidence-Based Medicine: How to Practice and Teach EBM. 2nd ed. Edinburgh, UK: Churchill Livingstone; 2000.
  3. Knottnerus JA, van Weel C, Muris JW. Evaluation of diagnostic procedures. BMJ. 2002;324(7335):477–480.
  4. Bossuyt PM, Reitsma JB, Bruns DE, et al; Standards for Reporting of Diagnostic Accuracy Group. The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Ann Intern Med. 2003;138(1):W1-W12.
  5. Grimes DA, Schulz KF, Raymond EG. Surrogate end points in women’s health research: science, protoscience, and pseudoscience. Fertil Steril. 2010;93(6):1731–1734.
  6. Lagakos SW. The challenge of subgroup analyses—reporting without distorting. N Engl J Med. 2006;354(16):1667–1669.
  7. Wang R, Lagakos SW, Ware JH, Hunter DJ, Drazen JM. Statistics in medicine—reporting of subgroup analyses in clinical trials. N Engl J Med. 2007;357(21):2189–2194.
  8. Counsell C. Formulating questions and locating primary studies for inclusion in systematic reviews. Ann Intern Med. 1997;127(5):380–387.
  9. Higgins JP, Altman DG, Gøtzsche PC, et al; Cochrane Statistical Methods Group. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928.
  10. Berkman ND, Lohr KN, Ansari M, et al. Grading the Strength of a Body of Evidence When Assessing Health Care Interventions for the Effective Health Care Program of the Agency for Healthcare Research and Quality: An Update. Methods Guide for Effectiveness and Comparative Effectiveness Reviews. Rockville (MD)2008. AHRQ Methods for Effective Health Care. 2013 Nov 18.
  11. Liberati A1, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009;339:b2700.
  12. Institute of Medicine of the National Academies. Finding What Works in Health Care: Standards for Systematic Reviews. iom.edu/Reports/2011/Finding-What-Works-in-Health-Care-Standards-for-Systematic-Reviews.aspx. Published March 23, 2011. Accessed March 20, 2015.
  13. Mulrow CD. The medical review article: state of the science. Ann Intern Med. 1987;106(3):485–488.
  14. Lewis S, Clarke M. Forest plots: trying to see the wood and the trees. BMJ. 2001;322(7300):1479–1480.
  15. Glasziou P, Guyatt GH, Dans AL, Dans LF, Straus S, Sackett DL. Applying the results of trials and systematic reviews to individual patients. ACP J Club. 1998;129(3):A15–A16.
  16. What is shared decision making? Informed Medical Decisions Foundation Web site. http://www.informed medicaldecisions.org/what-is-shared-decision-making. Published 2015. Accessed January 23, 2015. 
  17. Straus SE, Sackett DL. Applying evidence to the individual patient. Ann Oncol. 1999;10(1):29–32.
  18. Rockhill B, Spiegelman D, Byrne C, Hunter DJ, Colditz GA. Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention. J Natl Cancer Inst. 2001;93(5):358–366.
  19. D’Agostino RB Sr, Grundy S, Sullivan LM, Wilson P; CHD Risk Prediction Group. Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. JAMA. 2001;286(2):180–187.
  20. Jelovsek JE, Chagin K, Brubaker L, et al; Pelvic Floor Disorders Network. A model for predicting the risk of de novo stress urinary incontinence in women undergoing pelvic organ prolapse surgery. Obstet Gynecol. 2014;123(2 Pt 1):279–287.
  21. National Quality Forum. What we do. National Quality Forum Web sight. http://www.qualityforum.org/what_we_do.aspx. Published 2015. Accessed January 29, 2015.
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3 clear dos, and 3 specific don'ts, of vacuum extraction

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ACOG presidents highlight their visions for the College at the 2015 clinical meeting

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The 65th and 66th presidents of the American College of Obstetricians and Gynecologists (ACOG) met May 4 at the College’s 2015 Annual Clinical Meeting in San Francisco to discuss highlights of the past and upcoming years. John C. Jennings, MD, outgoing president, described the “dynamic time we live in” and said his focus has been on shifting to efficient value-based health-care delivery based on ObGyns’ ability to work in multidisciplinary teams.

“What we’ve done this year is to bring together a collaborative practice task force to look at how we develop efficiently operating health care teams. And in doing that, I think, we’re going to be able to produce a model that is transportable to other specialties—not just obstetrics and gynecology but the overall delivery of women’s health care,” he said.

“We’ve had at the table with us the American College of Physicians, the American Academy of Pediatrics, colleagues in pharmacy, advanced nurse practitioners, and certified nurse midwives. We’ve also had representatives from the lay public. We have developed a document that will be polished off and published later this year,” he said. “Obviously I want that to be a living document that helps guide us—in particular, our Fellows—in developing effective team-based practice for the future.”

Mark S. DeFrancesco, MD, MBA, incoming president, noted that, with a team-based focus on practice, he will be able to “take it to the next level” and approach population health. “We need to recognize that many women patients—certainly, between the ages of 18 and 50—see their ObGyn primarily for health care. Short of an acute illness, they tend to not see other doctors.” Among the health issues that merit special attention among these women are obesity and smoking, Dr. DeFrancesco said.

“These two areas kill 780,000 people per year in this country. That’s compared to 70,000 who die from breast, uterine, ovarian, and cervical cancers. That’s a tenfold increase in deaths just from smoking and obesity. I’m saying let’s focus some of our zeal for healing on these issues, particularly if we build the teams that John’s talking about and, with our advanced practice RNs and nurse midwives, see patients more efficiently. Let’s do some real screening and attack these problems,” Dr. DeFrancesco said.

Obesity is an especially critical issue to address in obstetric care, Dr. DeFrancesco noted.

“Now there’s a whole body of knowledge developing about genetic changes that are driven by maternal and even paternal obesity,” he said. “I think that may be a lever to help us help our patients lose weight when we remind them that it’s not just about avoiding cesarean section but it’s about preventing a newborn from having a medically complicated life.”

Other issues Dr. DeFrancesco plans to address include physician burnout and dissatisfaction. “Unhappy doctors cannot provide high-quality care,” he noted.

“We’re also going to be doing a total review of our strategic plan,” he said. “It’s an awful lot to do and I’m going to see a few patients in between all these things. Fortunately, ACOG has fantastic senior management and staff, so it’s easier for me to kind of set the course and let the troops bring it the rest of the way.”

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The 65th and 66th presidents of the American College of Obstetricians and Gynecologists (ACOG) met May 4 at the College’s 2015 Annual Clinical Meeting in San Francisco to discuss highlights of the past and upcoming years. John C. Jennings, MD, outgoing president, described the “dynamic time we live in” and said his focus has been on shifting to efficient value-based health-care delivery based on ObGyns’ ability to work in multidisciplinary teams.

“What we’ve done this year is to bring together a collaborative practice task force to look at how we develop efficiently operating health care teams. And in doing that, I think, we’re going to be able to produce a model that is transportable to other specialties—not just obstetrics and gynecology but the overall delivery of women’s health care,” he said.

“We’ve had at the table with us the American College of Physicians, the American Academy of Pediatrics, colleagues in pharmacy, advanced nurse practitioners, and certified nurse midwives. We’ve also had representatives from the lay public. We have developed a document that will be polished off and published later this year,” he said. “Obviously I want that to be a living document that helps guide us—in particular, our Fellows—in developing effective team-based practice for the future.”

Mark S. DeFrancesco, MD, MBA, incoming president, noted that, with a team-based focus on practice, he will be able to “take it to the next level” and approach population health. “We need to recognize that many women patients—certainly, between the ages of 18 and 50—see their ObGyn primarily for health care. Short of an acute illness, they tend to not see other doctors.” Among the health issues that merit special attention among these women are obesity and smoking, Dr. DeFrancesco said.

“These two areas kill 780,000 people per year in this country. That’s compared to 70,000 who die from breast, uterine, ovarian, and cervical cancers. That’s a tenfold increase in deaths just from smoking and obesity. I’m saying let’s focus some of our zeal for healing on these issues, particularly if we build the teams that John’s talking about and, with our advanced practice RNs and nurse midwives, see patients more efficiently. Let’s do some real screening and attack these problems,” Dr. DeFrancesco said.

Obesity is an especially critical issue to address in obstetric care, Dr. DeFrancesco noted.

“Now there’s a whole body of knowledge developing about genetic changes that are driven by maternal and even paternal obesity,” he said. “I think that may be a lever to help us help our patients lose weight when we remind them that it’s not just about avoiding cesarean section but it’s about preventing a newborn from having a medically complicated life.”

Other issues Dr. DeFrancesco plans to address include physician burnout and dissatisfaction. “Unhappy doctors cannot provide high-quality care,” he noted.

“We’re also going to be doing a total review of our strategic plan,” he said. “It’s an awful lot to do and I’m going to see a few patients in between all these things. Fortunately, ACOG has fantastic senior management and staff, so it’s easier for me to kind of set the course and let the troops bring it the rest of the way.”

The 65th and 66th presidents of the American College of Obstetricians and Gynecologists (ACOG) met May 4 at the College’s 2015 Annual Clinical Meeting in San Francisco to discuss highlights of the past and upcoming years. John C. Jennings, MD, outgoing president, described the “dynamic time we live in” and said his focus has been on shifting to efficient value-based health-care delivery based on ObGyns’ ability to work in multidisciplinary teams.

“What we’ve done this year is to bring together a collaborative practice task force to look at how we develop efficiently operating health care teams. And in doing that, I think, we’re going to be able to produce a model that is transportable to other specialties—not just obstetrics and gynecology but the overall delivery of women’s health care,” he said.

“We’ve had at the table with us the American College of Physicians, the American Academy of Pediatrics, colleagues in pharmacy, advanced nurse practitioners, and certified nurse midwives. We’ve also had representatives from the lay public. We have developed a document that will be polished off and published later this year,” he said. “Obviously I want that to be a living document that helps guide us—in particular, our Fellows—in developing effective team-based practice for the future.”

Mark S. DeFrancesco, MD, MBA, incoming president, noted that, with a team-based focus on practice, he will be able to “take it to the next level” and approach population health. “We need to recognize that many women patients—certainly, between the ages of 18 and 50—see their ObGyn primarily for health care. Short of an acute illness, they tend to not see other doctors.” Among the health issues that merit special attention among these women are obesity and smoking, Dr. DeFrancesco said.

“These two areas kill 780,000 people per year in this country. That’s compared to 70,000 who die from breast, uterine, ovarian, and cervical cancers. That’s a tenfold increase in deaths just from smoking and obesity. I’m saying let’s focus some of our zeal for healing on these issues, particularly if we build the teams that John’s talking about and, with our advanced practice RNs and nurse midwives, see patients more efficiently. Let’s do some real screening and attack these problems,” Dr. DeFrancesco said.

Obesity is an especially critical issue to address in obstetric care, Dr. DeFrancesco noted.

“Now there’s a whole body of knowledge developing about genetic changes that are driven by maternal and even paternal obesity,” he said. “I think that may be a lever to help us help our patients lose weight when we remind them that it’s not just about avoiding cesarean section but it’s about preventing a newborn from having a medically complicated life.”

Other issues Dr. DeFrancesco plans to address include physician burnout and dissatisfaction. “Unhappy doctors cannot provide high-quality care,” he noted.

“We’re also going to be doing a total review of our strategic plan,” he said. “It’s an awful lot to do and I’m going to see a few patients in between all these things. Fortunately, ACOG has fantastic senior management and staff, so it’s easier for me to kind of set the course and let the troops bring it the rest of the way.”

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A survey of liability claims against obstetric providers highlights major areas of contention

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A survey of liability claims against obstetric providers highlights major areas of contention

An analysis of 882 obstetric claims closed between 2007 and 2014 highlighted 3 common patient allegations:

 

  • a delay in treatment of fetal distress (22%). The term fetal distress remains a common allegation in malpractice claims. Cases in this category most often reflected a delay or failure to act in the face of Category II or III fetal heart-rate tracings.
  • improper performance of vaginal delivery (20%). Almost half of the cases in this category involved brachial plexus injuries linked to shoulder dystocia. Patients alleged that improper maneuvers were used to resolve the dystocia. The remainder of cases in this category involved forceps and vacuum extraction deliveries.
  • improper management of pregnancy (17%). Among the allegations were a failure to test for fetal abnormalities, failure to recognize complications of pregnancy, and failure to address abnormal findings.

Together, these 3 allegations accounted for 59% of claims. Other allegations included diagnosis-related claims, delay in delivery, improper performance of operative delivery, retained foreign bodies, and improper choice of delivery method.1

The Obstetrics Closed Claims Study findings were released earlier this spring by the Napa, California−based Doctors Company, the nation’s largest physician-owned medical malpractice insurer.1 Susan Mann, MD, a spokesperson for the company, provided expert commentary on the study at the 2015 Annual Clinical Meeting of the American College of Obstetricians and Gynecologists in San Francisco. (Listen to this accompanying audiocast featuring her comments.) Dr. Mann practices obstetrics and gynecology in Brookline, Massachusetts, and at Beth Israel Deaconess Medical Center in Boston. She is president of the QualBridge Institute, a consulting firm focused on issues of quality and safety.

Top 7 factors contributing to patient injury
The Doctors Company identified specific factors that contributed to patient injury in the closed claims:

1. Selection and management of therapy (34%). Among the issues here were decisions involving augmentation of labor, route of delivery, and the timing of interventions. This factor also related to medications—for example, a failure to order antibiotics for Group A and Group B strep, a failure to order Rho(D) immune globulin for Rh-negative mothers, and a failure to provide magnesium sulfate for women with eclampsia.
2. Patient-assessment issues (32%). The Doctors Company reviewers found that physicians frequently failed to consider information that was available, or overlooked abnormal findings.
3. Technical performance (18%). This factor involved problems associated with known risks of various procedures, such as postpartum hemorrhage and brachial plexus injuries. It also included poor technique.
4. Communication among providers (17%)
5. Patient factors (16%). These factors included a failure to comply with therapy or to show up for appointments.
6. Insufficient or lack of documentation (14%)
7. Communication between patient/family and provider (14%).

“Studying obstetrical medical malpractice claims sheds light on the wide array of problems that may arise during pregnancy and in labor and delivery,” the study authors conclude. “Many of these cases reflect unusual maternal or neonatal conditions that can be diagnosed only with vigilance. Examples include protein deficiencies, clotting abnormalities, placental abruptions, infections, and genetic abnormalities. More common conditions should be identified with close attention to vital signs, laboratory studies, changes to maternal and neonatal conditions, and patient complaints.”

“Obstetric departments must plan for clinical emergencies by developing and maintaining physician and staff competencies through mock drills and simulations that reduce the likelihood of injuries to mothers and their infants,” the study authors conclude.

Tips for reducing malpractice claims in obstetrics
The Obstetrics Closed Claim Study identified a number of “underlying vulnerabilities” that place patients at risk and increase liability for clinicians. The Doctors Company offers the following tips to help reduce these claims:
• Require periodic training and certification for physicians and nurses to maintain competency and facilitate conversations about fetal heart-rate (FHR) tracing interpretation. Both parties should use the same terminology when discussing the strips.
• Use technology that allows physicians to review FHR patterns from remote locations so that physicians and nurses are able to see the same information when discussing next steps.
• When operative vaginal delivery is attempted in the face of a Category III FHR tracing, a contingency team should be available for possible emergent cesarean delivery.
• Foster a culture in which caregivers feel comfortable speaking up if they have a concern. Ensure that the organization has a well-defined escalation guideline.

Share your thoughts on this article! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

References

Reference

 

  1. The Doctors Company. Obstetrics Closed Claim Study. http://www.thedoctors.com/KnowledgeCenter/PatientSafety/articles/CON_ID_011803. Published April 2015. Accessed May 6, 2015.
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An analysis of 882 obstetric claims closed between 2007 and 2014 highlighted 3 common patient allegations:

 

  • a delay in treatment of fetal distress (22%). The term fetal distress remains a common allegation in malpractice claims. Cases in this category most often reflected a delay or failure to act in the face of Category II or III fetal heart-rate tracings.
  • improper performance of vaginal delivery (20%). Almost half of the cases in this category involved brachial plexus injuries linked to shoulder dystocia. Patients alleged that improper maneuvers were used to resolve the dystocia. The remainder of cases in this category involved forceps and vacuum extraction deliveries.
  • improper management of pregnancy (17%). Among the allegations were a failure to test for fetal abnormalities, failure to recognize complications of pregnancy, and failure to address abnormal findings.

Together, these 3 allegations accounted for 59% of claims. Other allegations included diagnosis-related claims, delay in delivery, improper performance of operative delivery, retained foreign bodies, and improper choice of delivery method.1

The Obstetrics Closed Claims Study findings were released earlier this spring by the Napa, California−based Doctors Company, the nation’s largest physician-owned medical malpractice insurer.1 Susan Mann, MD, a spokesperson for the company, provided expert commentary on the study at the 2015 Annual Clinical Meeting of the American College of Obstetricians and Gynecologists in San Francisco. (Listen to this accompanying audiocast featuring her comments.) Dr. Mann practices obstetrics and gynecology in Brookline, Massachusetts, and at Beth Israel Deaconess Medical Center in Boston. She is president of the QualBridge Institute, a consulting firm focused on issues of quality and safety.

Top 7 factors contributing to patient injury
The Doctors Company identified specific factors that contributed to patient injury in the closed claims:

1. Selection and management of therapy (34%). Among the issues here were decisions involving augmentation of labor, route of delivery, and the timing of interventions. This factor also related to medications—for example, a failure to order antibiotics for Group A and Group B strep, a failure to order Rho(D) immune globulin for Rh-negative mothers, and a failure to provide magnesium sulfate for women with eclampsia.
2. Patient-assessment issues (32%). The Doctors Company reviewers found that physicians frequently failed to consider information that was available, or overlooked abnormal findings.
3. Technical performance (18%). This factor involved problems associated with known risks of various procedures, such as postpartum hemorrhage and brachial plexus injuries. It also included poor technique.
4. Communication among providers (17%)
5. Patient factors (16%). These factors included a failure to comply with therapy or to show up for appointments.
6. Insufficient or lack of documentation (14%)
7. Communication between patient/family and provider (14%).

“Studying obstetrical medical malpractice claims sheds light on the wide array of problems that may arise during pregnancy and in labor and delivery,” the study authors conclude. “Many of these cases reflect unusual maternal or neonatal conditions that can be diagnosed only with vigilance. Examples include protein deficiencies, clotting abnormalities, placental abruptions, infections, and genetic abnormalities. More common conditions should be identified with close attention to vital signs, laboratory studies, changes to maternal and neonatal conditions, and patient complaints.”

“Obstetric departments must plan for clinical emergencies by developing and maintaining physician and staff competencies through mock drills and simulations that reduce the likelihood of injuries to mothers and their infants,” the study authors conclude.

Tips for reducing malpractice claims in obstetrics
The Obstetrics Closed Claim Study identified a number of “underlying vulnerabilities” that place patients at risk and increase liability for clinicians. The Doctors Company offers the following tips to help reduce these claims:
• Require periodic training and certification for physicians and nurses to maintain competency and facilitate conversations about fetal heart-rate (FHR) tracing interpretation. Both parties should use the same terminology when discussing the strips.
• Use technology that allows physicians to review FHR patterns from remote locations so that physicians and nurses are able to see the same information when discussing next steps.
• When operative vaginal delivery is attempted in the face of a Category III FHR tracing, a contingency team should be available for possible emergent cesarean delivery.
• Foster a culture in which caregivers feel comfortable speaking up if they have a concern. Ensure that the organization has a well-defined escalation guideline.

Share your thoughts on this article! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

An analysis of 882 obstetric claims closed between 2007 and 2014 highlighted 3 common patient allegations:

 

  • a delay in treatment of fetal distress (22%). The term fetal distress remains a common allegation in malpractice claims. Cases in this category most often reflected a delay or failure to act in the face of Category II or III fetal heart-rate tracings.
  • improper performance of vaginal delivery (20%). Almost half of the cases in this category involved brachial plexus injuries linked to shoulder dystocia. Patients alleged that improper maneuvers were used to resolve the dystocia. The remainder of cases in this category involved forceps and vacuum extraction deliveries.
  • improper management of pregnancy (17%). Among the allegations were a failure to test for fetal abnormalities, failure to recognize complications of pregnancy, and failure to address abnormal findings.

Together, these 3 allegations accounted for 59% of claims. Other allegations included diagnosis-related claims, delay in delivery, improper performance of operative delivery, retained foreign bodies, and improper choice of delivery method.1

The Obstetrics Closed Claims Study findings were released earlier this spring by the Napa, California−based Doctors Company, the nation’s largest physician-owned medical malpractice insurer.1 Susan Mann, MD, a spokesperson for the company, provided expert commentary on the study at the 2015 Annual Clinical Meeting of the American College of Obstetricians and Gynecologists in San Francisco. (Listen to this accompanying audiocast featuring her comments.) Dr. Mann practices obstetrics and gynecology in Brookline, Massachusetts, and at Beth Israel Deaconess Medical Center in Boston. She is president of the QualBridge Institute, a consulting firm focused on issues of quality and safety.

Top 7 factors contributing to patient injury
The Doctors Company identified specific factors that contributed to patient injury in the closed claims:

1. Selection and management of therapy (34%). Among the issues here were decisions involving augmentation of labor, route of delivery, and the timing of interventions. This factor also related to medications—for example, a failure to order antibiotics for Group A and Group B strep, a failure to order Rho(D) immune globulin for Rh-negative mothers, and a failure to provide magnesium sulfate for women with eclampsia.
2. Patient-assessment issues (32%). The Doctors Company reviewers found that physicians frequently failed to consider information that was available, or overlooked abnormal findings.
3. Technical performance (18%). This factor involved problems associated with known risks of various procedures, such as postpartum hemorrhage and brachial plexus injuries. It also included poor technique.
4. Communication among providers (17%)
5. Patient factors (16%). These factors included a failure to comply with therapy or to show up for appointments.
6. Insufficient or lack of documentation (14%)
7. Communication between patient/family and provider (14%).

“Studying obstetrical medical malpractice claims sheds light on the wide array of problems that may arise during pregnancy and in labor and delivery,” the study authors conclude. “Many of these cases reflect unusual maternal or neonatal conditions that can be diagnosed only with vigilance. Examples include protein deficiencies, clotting abnormalities, placental abruptions, infections, and genetic abnormalities. More common conditions should be identified with close attention to vital signs, laboratory studies, changes to maternal and neonatal conditions, and patient complaints.”

“Obstetric departments must plan for clinical emergencies by developing and maintaining physician and staff competencies through mock drills and simulations that reduce the likelihood of injuries to mothers and their infants,” the study authors conclude.

Tips for reducing malpractice claims in obstetrics
The Obstetrics Closed Claim Study identified a number of “underlying vulnerabilities” that place patients at risk and increase liability for clinicians. The Doctors Company offers the following tips to help reduce these claims:
• Require periodic training and certification for physicians and nurses to maintain competency and facilitate conversations about fetal heart-rate (FHR) tracing interpretation. Both parties should use the same terminology when discussing the strips.
• Use technology that allows physicians to review FHR patterns from remote locations so that physicians and nurses are able to see the same information when discussing next steps.
• When operative vaginal delivery is attempted in the face of a Category III FHR tracing, a contingency team should be available for possible emergent cesarean delivery.
• Foster a culture in which caregivers feel comfortable speaking up if they have a concern. Ensure that the organization has a well-defined escalation guideline.

Share your thoughts on this article! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

References

Reference

 

  1. The Doctors Company. Obstetrics Closed Claim Study. http://www.thedoctors.com/KnowledgeCenter/PatientSafety/articles/CON_ID_011803. Published April 2015. Accessed May 6, 2015.
References

Reference

 

  1. The Doctors Company. Obstetrics Closed Claim Study. http://www.thedoctors.com/KnowledgeCenter/PatientSafety/articles/CON_ID_011803. Published April 2015. Accessed May 6, 2015.
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Mammographic breast density is a strong risk factor for breast cancer

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Breast density is a strong, prevalent, and potentially modifiable risk factor for breast cancer, which makes it of special interest to clinicians whose jobs involve breast cancer risk prediction. That was the theme of a talk by Karla Kerlikowske, MD, of the UCSF Helen Diller Family Comprehensive Cancer Center in San Francisco. Dr. Kerlikowske delivered the John I. Brewer Memorial Lecture May 3 at the 2015 Annual Clinical Meeting of the American College of Obstetricians and Gynecologists in San Francisco.

Mammographic breast density is a radiologic term, Dr. Kerlikowske explained. “The only way to really know someone’s breast density is if they have a mammogram.” The whiter the mammogram, the denser the breast. The darker the mammogram, the fattier the breast.

According to the American College of Radiology, the following 4 categories of breast composition are defined by the “visually estimated” content of fibroglandular-density tissue within the breasts:
A. The breasts are almost entirely fatty.
B. There are scattered areas of fibroglandular density.
C. The breasts are heterogeneously dense, which may obscure small masses.
D. The breasts are extremely dense, which lowers the specificity of mammography.

Categories C and D signify dense breasts, which contain a high degree of collagen, epithelial cells, and stroma. In the United States, more than 25 million women are thought to have dense breasts.

Women who have a family history of breast cancer are more likely to have dense breasts. And women who have dense breasts have an elevated risk of breast cancer. They also have a higher risk of advanced disease, as well as a higher risk of large, high-grade, and lymph node-positive tumors, said Dr. Kerlikowske.

Breast-density legislation is increasing
Twenty-two states now have laws mandating that women found to have heterogeneously dense or extremely dense breasts be notified of their status, said Dr. Kerlikowske. That prompts the question: How should these patients be managed?

Breast density declines with age. Breast density also is influenced by body mass index (BMI). As BMI increases, density declines.

Breast density also can be affected by medications, such as hormone therapy and tamoxifen, Dr. Kerlikowske said.

For example, breast density declines about 1% to 2% per year in postmenopause. In postmenopausal women who take estrogen alone, breast density increases slightly. “But the real increase is for people who take estrogen plus progestin,” said Dr. Kerlikowske. “It’s thought that the progestin component is what increases breast density.” Estrogen-progestin therapy confers the same risk of breast cancer as that faced by a premenopausal woman with dense breasts.

As for tamoxifen, it reduces breast density by 2% to 3% per year in postmenopausal women, Dr. Kerlikowske said. “People who have a decrease of more than 10% in breast density are those who have a reduction in breast cancer.” If a woman doesn’t have that reduction with tamoxifen—about half of women don’t—there is no reduction in breast cancer mortality.

“There’s some thought that you should look at mammograms during the first year of tamoxifen use and, if you don’t see a change, consider switching to another medication,” said Dr. Kerlikowske.

More frequent mammograms and supplemental imaging are options for detecting cancers early. Among the modalities that have been studied in this regard are ultrasonography, tomosynthesis, and breast magnetic resonance imaging (MRI).

“If you do more tests, such as ultrasound, you will definitely find additional lesions,” said Dr. Kerlikowske. “There’s no question. But what are the harms?”

The biopsy rate almost doubles after ultrasonography, compared with mammography. And the number needed to screen to detect cancer is fairly high. For mammography, that number is about 250. For ultrasonography, tomosynthesis, and breast MRI, it is higher.

Tomosynthesis is more cost-effective than supplemental ultrasonography because it decreases the number of false positives, Dr. Kerlikowske said.

What’s the bottom line?
Not every woman with dense breasts is at high risk for breast cancer, said Dr. Kerlikowske. And although breast density is prevalent, it is potentially modifiable.

Nevertheless, breast density confers an elevated risk of breast cancer and can also mask tumors. Women with dense breasts likely should avoid the use of postmenopausal hormone therapy. They also may be candidates for more frequent mammography and/or supplemental imaging.

The Breast Cancer Surveillance Consortium (BCSC) Risk Calculator is the only tool that incorporates breast density. In the works is a new model that also incorporates benign breast disease.

Risk-prediction tool considers density and other factors
A risk-prediction tool from the Breast Cancer Surveillance Consortium (BCSC) is the only model to incorporate breast density. The BCSC Risk Calculator is available free of charge for the iPhone and iPad (an Android version is in the works). The tool takes 5 factors into consideration in estimating a woman’s 5-year risk of developing invasive breast cancer:
• age
• race/ethnicity
• breast density
• family history of breast cancer (first-degree relative)
• personal history of breast biopsy.
The tool is designed for use by health professionals. It is not appropriate for determining risk in women younger than 35 years or older than 79 years; women with a previous diagnosis of breast cancer, lobular carcinoma in situ, ductal carcinoma in situ, or atypical ductal hyperplasia; or women who have undergone breast augmentation. Other risk-prediction models are more appropriate for women with a BRCA mutation.

 

 

Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

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Breast density is a strong, prevalent, and potentially modifiable risk factor for breast cancer, which makes it of special interest to clinicians whose jobs involve breast cancer risk prediction. That was the theme of a talk by Karla Kerlikowske, MD, of the UCSF Helen Diller Family Comprehensive Cancer Center in San Francisco. Dr. Kerlikowske delivered the John I. Brewer Memorial Lecture May 3 at the 2015 Annual Clinical Meeting of the American College of Obstetricians and Gynecologists in San Francisco.

Mammographic breast density is a radiologic term, Dr. Kerlikowske explained. “The only way to really know someone’s breast density is if they have a mammogram.” The whiter the mammogram, the denser the breast. The darker the mammogram, the fattier the breast.

According to the American College of Radiology, the following 4 categories of breast composition are defined by the “visually estimated” content of fibroglandular-density tissue within the breasts:
A. The breasts are almost entirely fatty.
B. There are scattered areas of fibroglandular density.
C. The breasts are heterogeneously dense, which may obscure small masses.
D. The breasts are extremely dense, which lowers the specificity of mammography.

Categories C and D signify dense breasts, which contain a high degree of collagen, epithelial cells, and stroma. In the United States, more than 25 million women are thought to have dense breasts.

Women who have a family history of breast cancer are more likely to have dense breasts. And women who have dense breasts have an elevated risk of breast cancer. They also have a higher risk of advanced disease, as well as a higher risk of large, high-grade, and lymph node-positive tumors, said Dr. Kerlikowske.

Breast-density legislation is increasing
Twenty-two states now have laws mandating that women found to have heterogeneously dense or extremely dense breasts be notified of their status, said Dr. Kerlikowske. That prompts the question: How should these patients be managed?

Breast density declines with age. Breast density also is influenced by body mass index (BMI). As BMI increases, density declines.

Breast density also can be affected by medications, such as hormone therapy and tamoxifen, Dr. Kerlikowske said.

For example, breast density declines about 1% to 2% per year in postmenopause. In postmenopausal women who take estrogen alone, breast density increases slightly. “But the real increase is for people who take estrogen plus progestin,” said Dr. Kerlikowske. “It’s thought that the progestin component is what increases breast density.” Estrogen-progestin therapy confers the same risk of breast cancer as that faced by a premenopausal woman with dense breasts.

As for tamoxifen, it reduces breast density by 2% to 3% per year in postmenopausal women, Dr. Kerlikowske said. “People who have a decrease of more than 10% in breast density are those who have a reduction in breast cancer.” If a woman doesn’t have that reduction with tamoxifen—about half of women don’t—there is no reduction in breast cancer mortality.

“There’s some thought that you should look at mammograms during the first year of tamoxifen use and, if you don’t see a change, consider switching to another medication,” said Dr. Kerlikowske.

More frequent mammograms and supplemental imaging are options for detecting cancers early. Among the modalities that have been studied in this regard are ultrasonography, tomosynthesis, and breast magnetic resonance imaging (MRI).

“If you do more tests, such as ultrasound, you will definitely find additional lesions,” said Dr. Kerlikowske. “There’s no question. But what are the harms?”

The biopsy rate almost doubles after ultrasonography, compared with mammography. And the number needed to screen to detect cancer is fairly high. For mammography, that number is about 250. For ultrasonography, tomosynthesis, and breast MRI, it is higher.

Tomosynthesis is more cost-effective than supplemental ultrasonography because it decreases the number of false positives, Dr. Kerlikowske said.

What’s the bottom line?
Not every woman with dense breasts is at high risk for breast cancer, said Dr. Kerlikowske. And although breast density is prevalent, it is potentially modifiable.

Nevertheless, breast density confers an elevated risk of breast cancer and can also mask tumors. Women with dense breasts likely should avoid the use of postmenopausal hormone therapy. They also may be candidates for more frequent mammography and/or supplemental imaging.

The Breast Cancer Surveillance Consortium (BCSC) Risk Calculator is the only tool that incorporates breast density. In the works is a new model that also incorporates benign breast disease.

Risk-prediction tool considers density and other factors
A risk-prediction tool from the Breast Cancer Surveillance Consortium (BCSC) is the only model to incorporate breast density. The BCSC Risk Calculator is available free of charge for the iPhone and iPad (an Android version is in the works). The tool takes 5 factors into consideration in estimating a woman’s 5-year risk of developing invasive breast cancer:
• age
• race/ethnicity
• breast density
• family history of breast cancer (first-degree relative)
• personal history of breast biopsy.
The tool is designed for use by health professionals. It is not appropriate for determining risk in women younger than 35 years or older than 79 years; women with a previous diagnosis of breast cancer, lobular carcinoma in situ, ductal carcinoma in situ, or atypical ductal hyperplasia; or women who have undergone breast augmentation. Other risk-prediction models are more appropriate for women with a BRCA mutation.

 

 

Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

Breast density is a strong, prevalent, and potentially modifiable risk factor for breast cancer, which makes it of special interest to clinicians whose jobs involve breast cancer risk prediction. That was the theme of a talk by Karla Kerlikowske, MD, of the UCSF Helen Diller Family Comprehensive Cancer Center in San Francisco. Dr. Kerlikowske delivered the John I. Brewer Memorial Lecture May 3 at the 2015 Annual Clinical Meeting of the American College of Obstetricians and Gynecologists in San Francisco.

Mammographic breast density is a radiologic term, Dr. Kerlikowske explained. “The only way to really know someone’s breast density is if they have a mammogram.” The whiter the mammogram, the denser the breast. The darker the mammogram, the fattier the breast.

According to the American College of Radiology, the following 4 categories of breast composition are defined by the “visually estimated” content of fibroglandular-density tissue within the breasts:
A. The breasts are almost entirely fatty.
B. There are scattered areas of fibroglandular density.
C. The breasts are heterogeneously dense, which may obscure small masses.
D. The breasts are extremely dense, which lowers the specificity of mammography.

Categories C and D signify dense breasts, which contain a high degree of collagen, epithelial cells, and stroma. In the United States, more than 25 million women are thought to have dense breasts.

Women who have a family history of breast cancer are more likely to have dense breasts. And women who have dense breasts have an elevated risk of breast cancer. They also have a higher risk of advanced disease, as well as a higher risk of large, high-grade, and lymph node-positive tumors, said Dr. Kerlikowske.

Breast-density legislation is increasing
Twenty-two states now have laws mandating that women found to have heterogeneously dense or extremely dense breasts be notified of their status, said Dr. Kerlikowske. That prompts the question: How should these patients be managed?

Breast density declines with age. Breast density also is influenced by body mass index (BMI). As BMI increases, density declines.

Breast density also can be affected by medications, such as hormone therapy and tamoxifen, Dr. Kerlikowske said.

For example, breast density declines about 1% to 2% per year in postmenopause. In postmenopausal women who take estrogen alone, breast density increases slightly. “But the real increase is for people who take estrogen plus progestin,” said Dr. Kerlikowske. “It’s thought that the progestin component is what increases breast density.” Estrogen-progestin therapy confers the same risk of breast cancer as that faced by a premenopausal woman with dense breasts.

As for tamoxifen, it reduces breast density by 2% to 3% per year in postmenopausal women, Dr. Kerlikowske said. “People who have a decrease of more than 10% in breast density are those who have a reduction in breast cancer.” If a woman doesn’t have that reduction with tamoxifen—about half of women don’t—there is no reduction in breast cancer mortality.

“There’s some thought that you should look at mammograms during the first year of tamoxifen use and, if you don’t see a change, consider switching to another medication,” said Dr. Kerlikowske.

More frequent mammograms and supplemental imaging are options for detecting cancers early. Among the modalities that have been studied in this regard are ultrasonography, tomosynthesis, and breast magnetic resonance imaging (MRI).

“If you do more tests, such as ultrasound, you will definitely find additional lesions,” said Dr. Kerlikowske. “There’s no question. But what are the harms?”

The biopsy rate almost doubles after ultrasonography, compared with mammography. And the number needed to screen to detect cancer is fairly high. For mammography, that number is about 250. For ultrasonography, tomosynthesis, and breast MRI, it is higher.

Tomosynthesis is more cost-effective than supplemental ultrasonography because it decreases the number of false positives, Dr. Kerlikowske said.

What’s the bottom line?
Not every woman with dense breasts is at high risk for breast cancer, said Dr. Kerlikowske. And although breast density is prevalent, it is potentially modifiable.

Nevertheless, breast density confers an elevated risk of breast cancer and can also mask tumors. Women with dense breasts likely should avoid the use of postmenopausal hormone therapy. They also may be candidates for more frequent mammography and/or supplemental imaging.

The Breast Cancer Surveillance Consortium (BCSC) Risk Calculator is the only tool that incorporates breast density. In the works is a new model that also incorporates benign breast disease.

Risk-prediction tool considers density and other factors
A risk-prediction tool from the Breast Cancer Surveillance Consortium (BCSC) is the only model to incorporate breast density. The BCSC Risk Calculator is available free of charge for the iPhone and iPad (an Android version is in the works). The tool takes 5 factors into consideration in estimating a woman’s 5-year risk of developing invasive breast cancer:
• age
• race/ethnicity
• breast density
• family history of breast cancer (first-degree relative)
• personal history of breast biopsy.
The tool is designed for use by health professionals. It is not appropriate for determining risk in women younger than 35 years or older than 79 years; women with a previous diagnosis of breast cancer, lobular carcinoma in situ, ductal carcinoma in situ, or atypical ductal hyperplasia; or women who have undergone breast augmentation. Other risk-prediction models are more appropriate for women with a BRCA mutation.

 

 

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OBG Management - 27(5)
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Mammographic breast density is a strong risk factor for breast cancer
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Mammographic breast density is a strong risk factor for breast cancer
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Janelle Yates, Karla Kerlikowske MD, breast cancer risk prediction, mammographic breast density,mammography, mammogram, dense breasts, breast-density legislation,John I. Brewer Memorial Lecture, ACOG, American College of Obstetricians and Gynecologists,American College of Radiology, fibroglandular density, heterogeneously dense breasts,body mass index, BMI, hormone therapy, tamoxifen,estrogen, progestin, breast magnetic resonance imaging, MRI, tomosynthesis, ultrasonography, false positives, Breast Cancer Surveillance Consortium, BCSC Risk Calculator, BCSC,lobular carcinoma in situ, ductal carcinoma in situ, or atypical ductal hyperplasia,breast augmentation, BRCA mutation
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Janelle Yates, Karla Kerlikowske MD, breast cancer risk prediction, mammographic breast density,mammography, mammogram, dense breasts, breast-density legislation,John I. Brewer Memorial Lecture, ACOG, American College of Obstetricians and Gynecologists,American College of Radiology, fibroglandular density, heterogeneously dense breasts,body mass index, BMI, hormone therapy, tamoxifen,estrogen, progestin, breast magnetic resonance imaging, MRI, tomosynthesis, ultrasonography, false positives, Breast Cancer Surveillance Consortium, BCSC Risk Calculator, BCSC,lobular carcinoma in situ, ductal carcinoma in situ, or atypical ductal hyperplasia,breast augmentation, BRCA mutation
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