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Grandmothers, the Friendship Bench, and wisdom
Is this model a blueprint for delivering mental health care?
The 4-year-old boy and his grandmother are out for stroll around the neighborhood, walking hand in hand.
“Let’s sit on the bench and talk,” the boy says.
“Okay,” says the grandmother and they climb up onto the high bench and look out across the quiet road to a small garden beyond.
“What would you like to talk about?” his grandmother asks.
“You first,” he says.
“Okay, let’s see ... the grandmother and the grandson are out for a walk and they see a bench to sit on. They climb up and look around. They see the daffodils and the white clouds in the blue sky. The breeze is blowing gently. It is a happy day. Your turn; what would you like to talk about?”
“Nanna and Papa.”
“Do you miss Papa?”
“Yes.”
“It has been a whole year since he died.”
“A long, long time.”
“He loved you very much.”
“Yes,” the boy replies.
“Nanna must miss him very much. She must be lonely without him.”
The boy nods.
They sit on for a while, watching the occasional car and the occasional bird pass by. The boy and the grandmother are quiet and contemplative.
“Okay, let’s go,” he says and jumps down, ready to continue their walk.
The Friendship Bench
It must have been such an experience that gave Dixon Chibanda, MD, MPH, PhD, a psychiatrist from Zimbabwe, his brilliant idea. He trained grandmothers in evidence-based talk therapy and sat them on a bench in the park with his patients.1,2 He founded the Friendship Bench in 2006 in the Harare township of Mbare with 14 grandmothers. There are more than 300 grandmothers sitting on benches, listening, and providing cognitive-behavioral therapy–informed interventions because he could find no therapists in the community and he found that, with a little training, these grandmothers could provide effective culturally sensitive interventions.
Originally, the sessions were conducted in Shona, the predominant native language in Zimbabwe, but since 2017, the sessions are also in English. By 2017, the Friendship Bench had helped more than 30,000 people. The method has been empirically vetted and expanded to countries beyond, including the United States. Dr. Chibanda’s Friendship Bench serves as a blueprint for any community interested in bringing affordable, accessible, and highly effective mental health services to its residents. Dr. Chibanda said: “Imagine if we could create a global network of grandmothers in every major city in the world.”3
Why grandmothers?
Have you heard of the evolutionary importance of grandmothers? The grandmother hypothesis is an adaptationist explanation for the fact that the human female lifespan extends beyond the period of fertility. A third of the average human female life span is post menopause. Does such a long female postreproductive life span have a reason, inquired Mwenza Blell, PhD.5
Peter B. Medawar, PhD,6 and Kristen Hawkes, PhD,7 suggested that grandparents influence their own fitness by their actions toward their grandchildren. International fieldwork has revealed that the situation is less clear than their hypothesis. In industrialized countries, grandmaternal support is often financial or emotional. Two meta-analyses of largely the same group of studies investigating grandmother effects have come up with differing conclusions. Rebecca Sear, PhD, and Ruth Mace, PhD, conclude that grandmothers are “almost universally” beneficial, while acknowledging some variation in the effects of paternal grandmothers.8 Maternal grandparents appear to invest more in their grandchildren than paternal grandparents. Beverly I. Strassmann, PhD, and Wendy M. Garrard, PhD, concluded that, in patrilineal societies, survival of maternal grandparents is associated with survival of grandchildren and suggest this may represent covert matriliny.9
Examining specific time periods, maternal grandmothers may have greatest effect on survival of grandchildren at the time of weaning, a time when increased pathogenic exposure is a threat to survival. Paternal grandmothers may influence the survival of grandchildren during the early period of life (1-12 months) and to influence the condition of their daughters-in-law during pregnancy. The fact that grandmothers share one X chromosome with their sons’ daughters, none with their sons’ sons, and have a 50% chance of sharing an X chromosome with their daughters’ children is suggested to explain the patterns of survival observed in these studies than a simple maternal/paternal division.
In low- and middle-income countries, grandmothers and older women are seen as owners of traditional knowledge, and influence many decisions about childcare, help with domestic work, and emotional support and advice.10 Studies find a significant positive impact on breastfeeding when grandmothers of the infants had their own breastfeeding experience or were positively inclined toward breastfeeding, although one Chinese study found that highly educated grandmothers were associated with decreased exclusive breastfeeding.11 Despite this, most health programs target individual new mothers, without an understanding of the family and who else influences decisions.
Grandchildren and grandparents benefit from intergenerational activities with improved health and well-being of both generations. When older adults are involved in raising children, there is a significant reduction in the incidence of behavioral problems in childhood and adolescence. Grandparents improve grandchild outcomes, when measured by coresidence, caregiving, financial, and other support. The grandchild outcomes include physical health, socioemotional well-being, and cognitive development.12
Are there ‘grandparent genes?’
Flavio Schwarz, PhD, and colleagues think that variants of APOE and CD33 protect against heart disease and Alzheimer’s disease, allowing older people to live longer with better functioning hearts and brains – thus enabling transfer of wisdom from older to younger generations.13 While this logic may be a bit of a stretch, it does lead to a more interesting question: What has wisdom got to do with it?
When I ask psychiatrists what they think about wisdom, they give a variety of answers. Dilip Jeste, MD, a geriatric psychiatrist who studies successful aging, helped develop a measurable vision of wisdom.14 Wisdom is defined as a “multidimensional human trait that includes good social decision-making and pragmatic knowledge of life, prosocial attitudes and behaviors such as empathy and compassion, emotional homeostasis with a tendency to favor positive emotions, reflection and self-understanding, acknowledgment of and coping effectively with uncertainty, and decisiveness.”15 Others suggest that they include spirituality, openness to new experience, and a sense of humor.16 A scale called the San Diego Wisdom scale (SD-WISE) was created, using 524 community-dwelling adults aged 25-104 years. These subjects comprised a high proportion of White adults and individuals with a higher education, thus lacking diversity. Lack of diversity perpetuates generalizations, and like all sociocultural constructs, truth is specific to the population studied. High scores on the SD-WISE are positively correlated with good mental health, self-ratings of successful aging, mastery, resilience, happiness, and satisfaction with life.
Which brings us back to the grandmothers on the bench: Can someone please give them the SD-WISE scale and confirm several hypotheses? I would like to know whether a pragmatic knowledge of life is a recognized grandmotherly quality, suitable for the bench.
Dr. Heru is professor of psychiatry at the University of Colorado at Denver, Aurora. She is editor of “Working With Families in Medical Settings: A Multidisciplinary Guide for Psychiatrists and Other Health Professionals” (New York: Routledge, 2013). She has no conflicts of interest.
References
1. Chibanda D. Bull World Health Organ. 2018 Jun 196(6):376-7.
2. Cavanaugh R. Lancet Psychiatry. 2017 Nov. doi: 10.1016/S2215-0366(17)30420-0.
3. Nuwer R. “How a bench and a team of grandmothers can tackle depression.” BBC. 2020 May 27.
4. Ouansafi I et al. PLoS One. 2021 Apr 22;16(4):e0250074.
5. Blell M. “Grandmother hypothesis, grandmother effect, and residence patterns.” Int Encyclopedia Anthropol. John Wiley & Sons, 2018.
6. Medawar PB. An Unsolved Problem of Biology. Routledge, 1957.
7. Hawkes K et al. Proc Nat Acad Sci. 1998 Feb 395(3):1336-9.
8. Sear R and Mace R. Evol Hum Behav. 2008;29(1):1-18.
9. Strassmann B and Garrard WM. Hum Nat. 2011 Jul;22(1-2):201-22.
10. Aubel J. BMJ Glob Health. 2021;6(2). doi 10.1136/bmjgh-2020-003808.
11. Negin J et al. BMJ Pregnancy Childbirth. 2016 Apr 7. doi: 10.1186/s12884-016-0880-5.
12. Sadruddin AFA. Soc Sci Med. 2019 Aug;239(4):112476.
13. Schwarz F et al. Proc Nat Acad Sci. 2016 Jan 5;113(1):74-9.
14. Jeste DV et al. Psychol Inquiry. 2020 Jun 22;31(2):134-43.
15. Meeks TW and Jeste DV. Arch Gen Psychiatry. 2009 Apr;66(4):355-65.
16. Bangen KJ et al. Am J Geriatr Psychiatry. 2013 Dec;21(12):1254-66.
Is this model a blueprint for delivering mental health care?
Is this model a blueprint for delivering mental health care?
The 4-year-old boy and his grandmother are out for stroll around the neighborhood, walking hand in hand.
“Let’s sit on the bench and talk,” the boy says.
“Okay,” says the grandmother and they climb up onto the high bench and look out across the quiet road to a small garden beyond.
“What would you like to talk about?” his grandmother asks.
“You first,” he says.
“Okay, let’s see ... the grandmother and the grandson are out for a walk and they see a bench to sit on. They climb up and look around. They see the daffodils and the white clouds in the blue sky. The breeze is blowing gently. It is a happy day. Your turn; what would you like to talk about?”
“Nanna and Papa.”
“Do you miss Papa?”
“Yes.”
“It has been a whole year since he died.”
“A long, long time.”
“He loved you very much.”
“Yes,” the boy replies.
“Nanna must miss him very much. She must be lonely without him.”
The boy nods.
They sit on for a while, watching the occasional car and the occasional bird pass by. The boy and the grandmother are quiet and contemplative.
“Okay, let’s go,” he says and jumps down, ready to continue their walk.
The Friendship Bench
It must have been such an experience that gave Dixon Chibanda, MD, MPH, PhD, a psychiatrist from Zimbabwe, his brilliant idea. He trained grandmothers in evidence-based talk therapy and sat them on a bench in the park with his patients.1,2 He founded the Friendship Bench in 2006 in the Harare township of Mbare with 14 grandmothers. There are more than 300 grandmothers sitting on benches, listening, and providing cognitive-behavioral therapy–informed interventions because he could find no therapists in the community and he found that, with a little training, these grandmothers could provide effective culturally sensitive interventions.
Originally, the sessions were conducted in Shona, the predominant native language in Zimbabwe, but since 2017, the sessions are also in English. By 2017, the Friendship Bench had helped more than 30,000 people. The method has been empirically vetted and expanded to countries beyond, including the United States. Dr. Chibanda’s Friendship Bench serves as a blueprint for any community interested in bringing affordable, accessible, and highly effective mental health services to its residents. Dr. Chibanda said: “Imagine if we could create a global network of grandmothers in every major city in the world.”3
Why grandmothers?
Have you heard of the evolutionary importance of grandmothers? The grandmother hypothesis is an adaptationist explanation for the fact that the human female lifespan extends beyond the period of fertility. A third of the average human female life span is post menopause. Does such a long female postreproductive life span have a reason, inquired Mwenza Blell, PhD.5
Peter B. Medawar, PhD,6 and Kristen Hawkes, PhD,7 suggested that grandparents influence their own fitness by their actions toward their grandchildren. International fieldwork has revealed that the situation is less clear than their hypothesis. In industrialized countries, grandmaternal support is often financial or emotional. Two meta-analyses of largely the same group of studies investigating grandmother effects have come up with differing conclusions. Rebecca Sear, PhD, and Ruth Mace, PhD, conclude that grandmothers are “almost universally” beneficial, while acknowledging some variation in the effects of paternal grandmothers.8 Maternal grandparents appear to invest more in their grandchildren than paternal grandparents. Beverly I. Strassmann, PhD, and Wendy M. Garrard, PhD, concluded that, in patrilineal societies, survival of maternal grandparents is associated with survival of grandchildren and suggest this may represent covert matriliny.9
Examining specific time periods, maternal grandmothers may have greatest effect on survival of grandchildren at the time of weaning, a time when increased pathogenic exposure is a threat to survival. Paternal grandmothers may influence the survival of grandchildren during the early period of life (1-12 months) and to influence the condition of their daughters-in-law during pregnancy. The fact that grandmothers share one X chromosome with their sons’ daughters, none with their sons’ sons, and have a 50% chance of sharing an X chromosome with their daughters’ children is suggested to explain the patterns of survival observed in these studies than a simple maternal/paternal division.
In low- and middle-income countries, grandmothers and older women are seen as owners of traditional knowledge, and influence many decisions about childcare, help with domestic work, and emotional support and advice.10 Studies find a significant positive impact on breastfeeding when grandmothers of the infants had their own breastfeeding experience or were positively inclined toward breastfeeding, although one Chinese study found that highly educated grandmothers were associated with decreased exclusive breastfeeding.11 Despite this, most health programs target individual new mothers, without an understanding of the family and who else influences decisions.
Grandchildren and grandparents benefit from intergenerational activities with improved health and well-being of both generations. When older adults are involved in raising children, there is a significant reduction in the incidence of behavioral problems in childhood and adolescence. Grandparents improve grandchild outcomes, when measured by coresidence, caregiving, financial, and other support. The grandchild outcomes include physical health, socioemotional well-being, and cognitive development.12
Are there ‘grandparent genes?’
Flavio Schwarz, PhD, and colleagues think that variants of APOE and CD33 protect against heart disease and Alzheimer’s disease, allowing older people to live longer with better functioning hearts and brains – thus enabling transfer of wisdom from older to younger generations.13 While this logic may be a bit of a stretch, it does lead to a more interesting question: What has wisdom got to do with it?
When I ask psychiatrists what they think about wisdom, they give a variety of answers. Dilip Jeste, MD, a geriatric psychiatrist who studies successful aging, helped develop a measurable vision of wisdom.14 Wisdom is defined as a “multidimensional human trait that includes good social decision-making and pragmatic knowledge of life, prosocial attitudes and behaviors such as empathy and compassion, emotional homeostasis with a tendency to favor positive emotions, reflection and self-understanding, acknowledgment of and coping effectively with uncertainty, and decisiveness.”15 Others suggest that they include spirituality, openness to new experience, and a sense of humor.16 A scale called the San Diego Wisdom scale (SD-WISE) was created, using 524 community-dwelling adults aged 25-104 years. These subjects comprised a high proportion of White adults and individuals with a higher education, thus lacking diversity. Lack of diversity perpetuates generalizations, and like all sociocultural constructs, truth is specific to the population studied. High scores on the SD-WISE are positively correlated with good mental health, self-ratings of successful aging, mastery, resilience, happiness, and satisfaction with life.
Which brings us back to the grandmothers on the bench: Can someone please give them the SD-WISE scale and confirm several hypotheses? I would like to know whether a pragmatic knowledge of life is a recognized grandmotherly quality, suitable for the bench.
Dr. Heru is professor of psychiatry at the University of Colorado at Denver, Aurora. She is editor of “Working With Families in Medical Settings: A Multidisciplinary Guide for Psychiatrists and Other Health Professionals” (New York: Routledge, 2013). She has no conflicts of interest.
References
1. Chibanda D. Bull World Health Organ. 2018 Jun 196(6):376-7.
2. Cavanaugh R. Lancet Psychiatry. 2017 Nov. doi: 10.1016/S2215-0366(17)30420-0.
3. Nuwer R. “How a bench and a team of grandmothers can tackle depression.” BBC. 2020 May 27.
4. Ouansafi I et al. PLoS One. 2021 Apr 22;16(4):e0250074.
5. Blell M. “Grandmother hypothesis, grandmother effect, and residence patterns.” Int Encyclopedia Anthropol. John Wiley & Sons, 2018.
6. Medawar PB. An Unsolved Problem of Biology. Routledge, 1957.
7. Hawkes K et al. Proc Nat Acad Sci. 1998 Feb 395(3):1336-9.
8. Sear R and Mace R. Evol Hum Behav. 2008;29(1):1-18.
9. Strassmann B and Garrard WM. Hum Nat. 2011 Jul;22(1-2):201-22.
10. Aubel J. BMJ Glob Health. 2021;6(2). doi 10.1136/bmjgh-2020-003808.
11. Negin J et al. BMJ Pregnancy Childbirth. 2016 Apr 7. doi: 10.1186/s12884-016-0880-5.
12. Sadruddin AFA. Soc Sci Med. 2019 Aug;239(4):112476.
13. Schwarz F et al. Proc Nat Acad Sci. 2016 Jan 5;113(1):74-9.
14. Jeste DV et al. Psychol Inquiry. 2020 Jun 22;31(2):134-43.
15. Meeks TW and Jeste DV. Arch Gen Psychiatry. 2009 Apr;66(4):355-65.
16. Bangen KJ et al. Am J Geriatr Psychiatry. 2013 Dec;21(12):1254-66.
The 4-year-old boy and his grandmother are out for stroll around the neighborhood, walking hand in hand.
“Let’s sit on the bench and talk,” the boy says.
“Okay,” says the grandmother and they climb up onto the high bench and look out across the quiet road to a small garden beyond.
“What would you like to talk about?” his grandmother asks.
“You first,” he says.
“Okay, let’s see ... the grandmother and the grandson are out for a walk and they see a bench to sit on. They climb up and look around. They see the daffodils and the white clouds in the blue sky. The breeze is blowing gently. It is a happy day. Your turn; what would you like to talk about?”
“Nanna and Papa.”
“Do you miss Papa?”
“Yes.”
“It has been a whole year since he died.”
“A long, long time.”
“He loved you very much.”
“Yes,” the boy replies.
“Nanna must miss him very much. She must be lonely without him.”
The boy nods.
They sit on for a while, watching the occasional car and the occasional bird pass by. The boy and the grandmother are quiet and contemplative.
“Okay, let’s go,” he says and jumps down, ready to continue their walk.
The Friendship Bench
It must have been such an experience that gave Dixon Chibanda, MD, MPH, PhD, a psychiatrist from Zimbabwe, his brilliant idea. He trained grandmothers in evidence-based talk therapy and sat them on a bench in the park with his patients.1,2 He founded the Friendship Bench in 2006 in the Harare township of Mbare with 14 grandmothers. There are more than 300 grandmothers sitting on benches, listening, and providing cognitive-behavioral therapy–informed interventions because he could find no therapists in the community and he found that, with a little training, these grandmothers could provide effective culturally sensitive interventions.
Originally, the sessions were conducted in Shona, the predominant native language in Zimbabwe, but since 2017, the sessions are also in English. By 2017, the Friendship Bench had helped more than 30,000 people. The method has been empirically vetted and expanded to countries beyond, including the United States. Dr. Chibanda’s Friendship Bench serves as a blueprint for any community interested in bringing affordable, accessible, and highly effective mental health services to its residents. Dr. Chibanda said: “Imagine if we could create a global network of grandmothers in every major city in the world.”3
Why grandmothers?
Have you heard of the evolutionary importance of grandmothers? The grandmother hypothesis is an adaptationist explanation for the fact that the human female lifespan extends beyond the period of fertility. A third of the average human female life span is post menopause. Does such a long female postreproductive life span have a reason, inquired Mwenza Blell, PhD.5
Peter B. Medawar, PhD,6 and Kristen Hawkes, PhD,7 suggested that grandparents influence their own fitness by their actions toward their grandchildren. International fieldwork has revealed that the situation is less clear than their hypothesis. In industrialized countries, grandmaternal support is often financial or emotional. Two meta-analyses of largely the same group of studies investigating grandmother effects have come up with differing conclusions. Rebecca Sear, PhD, and Ruth Mace, PhD, conclude that grandmothers are “almost universally” beneficial, while acknowledging some variation in the effects of paternal grandmothers.8 Maternal grandparents appear to invest more in their grandchildren than paternal grandparents. Beverly I. Strassmann, PhD, and Wendy M. Garrard, PhD, concluded that, in patrilineal societies, survival of maternal grandparents is associated with survival of grandchildren and suggest this may represent covert matriliny.9
Examining specific time periods, maternal grandmothers may have greatest effect on survival of grandchildren at the time of weaning, a time when increased pathogenic exposure is a threat to survival. Paternal grandmothers may influence the survival of grandchildren during the early period of life (1-12 months) and to influence the condition of their daughters-in-law during pregnancy. The fact that grandmothers share one X chromosome with their sons’ daughters, none with their sons’ sons, and have a 50% chance of sharing an X chromosome with their daughters’ children is suggested to explain the patterns of survival observed in these studies than a simple maternal/paternal division.
In low- and middle-income countries, grandmothers and older women are seen as owners of traditional knowledge, and influence many decisions about childcare, help with domestic work, and emotional support and advice.10 Studies find a significant positive impact on breastfeeding when grandmothers of the infants had their own breastfeeding experience or were positively inclined toward breastfeeding, although one Chinese study found that highly educated grandmothers were associated with decreased exclusive breastfeeding.11 Despite this, most health programs target individual new mothers, without an understanding of the family and who else influences decisions.
Grandchildren and grandparents benefit from intergenerational activities with improved health and well-being of both generations. When older adults are involved in raising children, there is a significant reduction in the incidence of behavioral problems in childhood and adolescence. Grandparents improve grandchild outcomes, when measured by coresidence, caregiving, financial, and other support. The grandchild outcomes include physical health, socioemotional well-being, and cognitive development.12
Are there ‘grandparent genes?’
Flavio Schwarz, PhD, and colleagues think that variants of APOE and CD33 protect against heart disease and Alzheimer’s disease, allowing older people to live longer with better functioning hearts and brains – thus enabling transfer of wisdom from older to younger generations.13 While this logic may be a bit of a stretch, it does lead to a more interesting question: What has wisdom got to do with it?
When I ask psychiatrists what they think about wisdom, they give a variety of answers. Dilip Jeste, MD, a geriatric psychiatrist who studies successful aging, helped develop a measurable vision of wisdom.14 Wisdom is defined as a “multidimensional human trait that includes good social decision-making and pragmatic knowledge of life, prosocial attitudes and behaviors such as empathy and compassion, emotional homeostasis with a tendency to favor positive emotions, reflection and self-understanding, acknowledgment of and coping effectively with uncertainty, and decisiveness.”15 Others suggest that they include spirituality, openness to new experience, and a sense of humor.16 A scale called the San Diego Wisdom scale (SD-WISE) was created, using 524 community-dwelling adults aged 25-104 years. These subjects comprised a high proportion of White adults and individuals with a higher education, thus lacking diversity. Lack of diversity perpetuates generalizations, and like all sociocultural constructs, truth is specific to the population studied. High scores on the SD-WISE are positively correlated with good mental health, self-ratings of successful aging, mastery, resilience, happiness, and satisfaction with life.
Which brings us back to the grandmothers on the bench: Can someone please give them the SD-WISE scale and confirm several hypotheses? I would like to know whether a pragmatic knowledge of life is a recognized grandmotherly quality, suitable for the bench.
Dr. Heru is professor of psychiatry at the University of Colorado at Denver, Aurora. She is editor of “Working With Families in Medical Settings: A Multidisciplinary Guide for Psychiatrists and Other Health Professionals” (New York: Routledge, 2013). She has no conflicts of interest.
References
1. Chibanda D. Bull World Health Organ. 2018 Jun 196(6):376-7.
2. Cavanaugh R. Lancet Psychiatry. 2017 Nov. doi: 10.1016/S2215-0366(17)30420-0.
3. Nuwer R. “How a bench and a team of grandmothers can tackle depression.” BBC. 2020 May 27.
4. Ouansafi I et al. PLoS One. 2021 Apr 22;16(4):e0250074.
5. Blell M. “Grandmother hypothesis, grandmother effect, and residence patterns.” Int Encyclopedia Anthropol. John Wiley & Sons, 2018.
6. Medawar PB. An Unsolved Problem of Biology. Routledge, 1957.
7. Hawkes K et al. Proc Nat Acad Sci. 1998 Feb 395(3):1336-9.
8. Sear R and Mace R. Evol Hum Behav. 2008;29(1):1-18.
9. Strassmann B and Garrard WM. Hum Nat. 2011 Jul;22(1-2):201-22.
10. Aubel J. BMJ Glob Health. 2021;6(2). doi 10.1136/bmjgh-2020-003808.
11. Negin J et al. BMJ Pregnancy Childbirth. 2016 Apr 7. doi: 10.1186/s12884-016-0880-5.
12. Sadruddin AFA. Soc Sci Med. 2019 Aug;239(4):112476.
13. Schwarz F et al. Proc Nat Acad Sci. 2016 Jan 5;113(1):74-9.
14. Jeste DV et al. Psychol Inquiry. 2020 Jun 22;31(2):134-43.
15. Meeks TW and Jeste DV. Arch Gen Psychiatry. 2009 Apr;66(4):355-65.
16. Bangen KJ et al. Am J Geriatr Psychiatry. 2013 Dec;21(12):1254-66.
COVID-19 vaccine hesitancy still weighs heavy for some rheumatic disease patients
With 49% of the U.S. population fully vaccinated against SARS-CoV-2, a new study highlights the degree of vaccine hesitancy among patients with rheumatic disease to get the vaccine.
The international study, published in May 2021 in Rheumatology, suggests that, of 1,258 patients surveyed worldwide, approximately 40% of patients said they would decline the vaccine.
“Sometimes it’s helpful to talk through their concerns,” said Jeffrey Curtis, MD, MPH, a University of Alabama at Birmingham rheumatologist who leads the American College of Rheumatology COVID-19 vaccine task force. Dr. Curtis recently reviewed the current literature on COVID-19 vaccination in patients with rheumatic and musculoskeletal diseases (RMDs) at the annual meeting of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis.
COVID-19 vaccinations for patients with autoimmune inflammatory rheumatic disease (AIIRD) is not straightforward. The immune response can be blunted by existing treatments and disease flares can occur.
The latest version of COVID-19 vaccination guidance for patients with RMDs from the ACR addresses vaccine use and implementation strategies. The guidance was issued as conditional or provisional because of the lack of evidence. Its principals are largely based on accepted practice for other vaccines. The guidance is routinely updated as new evidence becomes available. In his presentation at GRAPPA, Dr. Curtis reviewed the latest version of the guidance, which he emphasized is a guidance only and not meant to replace clinical judgment or shared decision-making with patients.
“This is a platform for you to start from as you are thinking about and discussing with your patient what might be best for him or her,” he said.
Concerns about impact of disease activity, treatments on effectiveness
Dr. Curtis highlighted some controversial aspects of COVID-19 vaccines, including heterogeneity of rheumatic diseases and treatment. Patients with AIIRD, including psoriatic arthritis, spondyloarthritis, RA, and lupus, are at higher risk for hospitalized COVID-19 and worse outcomes, and as such, they are prioritized for vaccination by the Centers for Disease Control and Prevention.
However, for AIIRD patients, the immune response to COVID-19 vaccination can be “blunted,” according to one study. This may be because of glucocorticoid use or high disease activity. Immunomodulatory therapies, such as methotrexate, rituximab, and abatacept, are known to diminish vaccine response in general. The evidence is less clear for tumor necrosis factor and Janus kinase inhibitors, but they are thought to have the same impact on vaccine effectiveness, Dr. Curtis said. But in these cases, if the effect of a COVID-19 vaccine drops from 90% to 70%, the benefits of vaccination still far outweighs the risk of contracting COVID-19.
“Although we don’t have strong data with clinical outcomes for autoimmune disease or inflammatory disease patients, I’ll run a hypothetical and say: ‘Look, if this vaccine starts 90%-95% effective, even if it’s only 70% effective in somebody with lupus or vasculitis or someone who is taking a higher dose of steroids, I’ll take 70% over nothing if you chose to be vaccinated,’ ” he said.
The benefit of vaccination also outweighs the potential risk of disease flare, he said. The risk is real, but to date, no studies have pointed to a significant risk of disease flare or worsening. However, there have been reported cases of myocardial infarction.
Autoimmune manifestations after vaccination vs. after infection
Researchers writing in the June 29, 2021, issue of JAMA Cardiology described case reports of acute myocarditis in 23 people who received the BNT162b2-mRNA (Pfizer-BioNTech) or mRNA-1273 (Moderna) messenger RNA (mRNA) COVID-19 vaccines. Plus, there been subsequent reports of myocarditis in other patients, wrote David K. Shay, MD, MPH, in an accompanying editorial. Dr. Shay is a member of the CDC COVID-19 Response Team.
“What do we know about this possible association between myocarditis and immunization with mRNA-based COVID-19 vaccines, and what remains unclear? Acute onset of chest pain 3-5 days after vaccine administration, usually after a second dose, is a typical feature of reported cases and suggests an immune-mediated mechanism,” he said.
The cases of myocarditis are concerning, Dr. Curtis said, but the risk is very low with relatively few cases reported among 161 million fully vaccinated people in the United States.
“Certainly, we’re not seeking to minimize that, but the risk of getting COVID and some of the downstream sequelae (autoimmune manifestations) almost certainly outweigh the risks for some of the autoimmune manifestations or worsening [condition],” he said.
A nationwide cohort study from Denmark of 58,052 patients with inflammatory rheumatic disease published in December 2020 in Rheumatology, found that patients with COVID-19 who had an inflammatory rheumatic disease were more likely to be admitted to the hospital, compared with COVID-19 patients without rheumatic disease. Patients with rheumatic disease had a higher risk of a severe COVID-19 outcome, but it was not a statistically significant difference, said Dr. Curtis, adding that the individual factors such as age and treatment currently received largely determines the risk. The strongest associations between hospitalization for COVID-19 and rheumatic disease were found among patients with RA, vasculitis, and connective tissue disease. Dr. Curtis noted that his own new study results show that risk of death from a COVID-19 infection is higher for patients who have RA or psoriatic arthritis.
There have been published case reports of patients who have developed new-onset lupus, vasculitis, Kawasaki disease, multiple sclerosis, autoimmune cytopenias, and other manifestations after a COVID-19 infection. “These authors suggest that perhaps there is a transient influence on the immune system that leads to a loss of self-tolerance to antigens,” Dr. Curtis said. “Some patients may have an underlying predisposition to autoimmunity in which infections just unmask as we sometimes see with other infections – chronic hepatitis for example.”
Antibody tests not recommended
In its COVID-19 guidance, the ACR, like the Food and Drug Administration, recommends health care providers not to routinely order antibody tests for IgM or IgG to assess immunity after a person has been vaccinated or to assess the need for vaccination in an unvaccinated person. More research is needed to determine if antibodies provide protection, and if so, for how long and how much. Plus, the antibody testing process is not clear cut, so ordering the wrong test is possible, Dr. Curtis said. The tests should clearly differentiate between spike proteins or nucleocapsid proteins.
“The bottom line is that you might be ordering the wrong lab test. Even if you’re ordering the right lab test, I would assert that you probably don’t know what to do with the result. I would then ask you, ‘Does it mean they are protected? Does it mean they are not protected? What are you going to do with the results?’ ” he asked.
Kevin Winthrop, MD, MPH, a specialist in infectious diseases at Oregon Health & Science University, Portland, said that, at this point, it’s too early to know what antibody tests mean. “I think it is tempting to test some people, especially patients on B-cell depletion therapy and those on mycophenolate mofetil (MMF). Outside of those two types of [disease-modifying antirheumatic drug] users, I wouldn’t be tempted to test. We don’t know how well protected they are, but we assume they are protected to some extent,” he said. “They’re probably partially protected and as such, they should take the same precautions they were taking a year ago: masking and avoidance. I think that’s just how it’s going to be for those folks for another year until we get this thing sorted out.”
Modifications to existing rheumatic disease therapies
In its COVID-19 vaccine guidance, the ACR issued recommendations for some common rheumatic disease therapeutics before and/or after the COVID-19 vaccine is administered. The modifications are limited to MMF, methotrexate, JAK inhibitors, subcutaneous abatacept, acetaminophen, and NSAIDs. The recommendations include: hold mycophenolate for 1 week after vaccination if disease is stable; for patients with well-controlled disease, hold methotrexate for 1 week after each of the two mRNA vaccine doses; for patients with well-controlled disease receiving the Johnson & Johnson vaccine, hold methotrexate for 2 weeks after receiving the vaccine; hold JAK inhibitors for 1 week after each dose; for abatacept subcutaneous, hold treatment for 1 week before and after the first dose; and in patients with stable disease, hold acetaminophen and NSAIDs for 24 hours before vaccination, because taking either before vaccination could blunt the vaccine response, Dr. Curtis said.
Holding medication, such as methotrexate, could risk having a flare-up of disease. One study showed the rate of disease flare-up because of withholding standard treatment may be up to 11%, compared with 5.1% in patients who did not hold treatment, he said.
“The point is, if you hold some of these therapies, whether methotrexate or tofacitinib, arthritis will get a little bit worse,” Dr. Curtis said.
A study published on the preprint server medRxiv found that immunosuppressive therapies blunted the response of SARS-CoV-2 vaccines in patients with chronic inflammatory diseases, most significantly with glucocorticoids and B-cell therapies.
“That’s what’s led to a lot of the guidance statements about holding treatments for a week or 2 for rituximab. If you’re giving it at 6-month intervals, you want to schedule the vaccine dose or series at about month 5, or a month before the next cycle,” he said.
Talking with patients about COVID-19 vaccination
In talking with patients about vaccine safety, Dr. Curtis recommends addressing a few common misperceptions. First, COVID-19 viruses were not created with a live-attenuated virus (which would be contraindicated for immunosuppressed patients). “You can put patients’ mind at ease that none of the vaccine candidates or platforms – even those that say viral vector – put patients at risk for contracting the infection. These are nonreplicating. So, it’s like you extracted the engine that would allow this virus to replicate,” he said.
Of three COVID-19 vaccinations available in the United States, is one better than the other? The ACR COVID-19 vaccine task force did not reach a consensus on safety profiles of the vaccines because, without head-to-head comparisons, it’s impossible to know, he said.
In talking with patients, review the protocol for continuing with prescribed treatment modalities before the patient receives a COVID-19 vaccine. Safety concerns and concerns about the possibility of having a disease flare-up should be addressed, he said.
With 49% of the U.S. population fully vaccinated against SARS-CoV-2, a new study highlights the degree of vaccine hesitancy among patients with rheumatic disease to get the vaccine.
The international study, published in May 2021 in Rheumatology, suggests that, of 1,258 patients surveyed worldwide, approximately 40% of patients said they would decline the vaccine.
“Sometimes it’s helpful to talk through their concerns,” said Jeffrey Curtis, MD, MPH, a University of Alabama at Birmingham rheumatologist who leads the American College of Rheumatology COVID-19 vaccine task force. Dr. Curtis recently reviewed the current literature on COVID-19 vaccination in patients with rheumatic and musculoskeletal diseases (RMDs) at the annual meeting of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis.
COVID-19 vaccinations for patients with autoimmune inflammatory rheumatic disease (AIIRD) is not straightforward. The immune response can be blunted by existing treatments and disease flares can occur.
The latest version of COVID-19 vaccination guidance for patients with RMDs from the ACR addresses vaccine use and implementation strategies. The guidance was issued as conditional or provisional because of the lack of evidence. Its principals are largely based on accepted practice for other vaccines. The guidance is routinely updated as new evidence becomes available. In his presentation at GRAPPA, Dr. Curtis reviewed the latest version of the guidance, which he emphasized is a guidance only and not meant to replace clinical judgment or shared decision-making with patients.
“This is a platform for you to start from as you are thinking about and discussing with your patient what might be best for him or her,” he said.
Concerns about impact of disease activity, treatments on effectiveness
Dr. Curtis highlighted some controversial aspects of COVID-19 vaccines, including heterogeneity of rheumatic diseases and treatment. Patients with AIIRD, including psoriatic arthritis, spondyloarthritis, RA, and lupus, are at higher risk for hospitalized COVID-19 and worse outcomes, and as such, they are prioritized for vaccination by the Centers for Disease Control and Prevention.
However, for AIIRD patients, the immune response to COVID-19 vaccination can be “blunted,” according to one study. This may be because of glucocorticoid use or high disease activity. Immunomodulatory therapies, such as methotrexate, rituximab, and abatacept, are known to diminish vaccine response in general. The evidence is less clear for tumor necrosis factor and Janus kinase inhibitors, but they are thought to have the same impact on vaccine effectiveness, Dr. Curtis said. But in these cases, if the effect of a COVID-19 vaccine drops from 90% to 70%, the benefits of vaccination still far outweighs the risk of contracting COVID-19.
“Although we don’t have strong data with clinical outcomes for autoimmune disease or inflammatory disease patients, I’ll run a hypothetical and say: ‘Look, if this vaccine starts 90%-95% effective, even if it’s only 70% effective in somebody with lupus or vasculitis or someone who is taking a higher dose of steroids, I’ll take 70% over nothing if you chose to be vaccinated,’ ” he said.
The benefit of vaccination also outweighs the potential risk of disease flare, he said. The risk is real, but to date, no studies have pointed to a significant risk of disease flare or worsening. However, there have been reported cases of myocardial infarction.
Autoimmune manifestations after vaccination vs. after infection
Researchers writing in the June 29, 2021, issue of JAMA Cardiology described case reports of acute myocarditis in 23 people who received the BNT162b2-mRNA (Pfizer-BioNTech) or mRNA-1273 (Moderna) messenger RNA (mRNA) COVID-19 vaccines. Plus, there been subsequent reports of myocarditis in other patients, wrote David K. Shay, MD, MPH, in an accompanying editorial. Dr. Shay is a member of the CDC COVID-19 Response Team.
“What do we know about this possible association between myocarditis and immunization with mRNA-based COVID-19 vaccines, and what remains unclear? Acute onset of chest pain 3-5 days after vaccine administration, usually after a second dose, is a typical feature of reported cases and suggests an immune-mediated mechanism,” he said.
The cases of myocarditis are concerning, Dr. Curtis said, but the risk is very low with relatively few cases reported among 161 million fully vaccinated people in the United States.
“Certainly, we’re not seeking to minimize that, but the risk of getting COVID and some of the downstream sequelae (autoimmune manifestations) almost certainly outweigh the risks for some of the autoimmune manifestations or worsening [condition],” he said.
A nationwide cohort study from Denmark of 58,052 patients with inflammatory rheumatic disease published in December 2020 in Rheumatology, found that patients with COVID-19 who had an inflammatory rheumatic disease were more likely to be admitted to the hospital, compared with COVID-19 patients without rheumatic disease. Patients with rheumatic disease had a higher risk of a severe COVID-19 outcome, but it was not a statistically significant difference, said Dr. Curtis, adding that the individual factors such as age and treatment currently received largely determines the risk. The strongest associations between hospitalization for COVID-19 and rheumatic disease were found among patients with RA, vasculitis, and connective tissue disease. Dr. Curtis noted that his own new study results show that risk of death from a COVID-19 infection is higher for patients who have RA or psoriatic arthritis.
There have been published case reports of patients who have developed new-onset lupus, vasculitis, Kawasaki disease, multiple sclerosis, autoimmune cytopenias, and other manifestations after a COVID-19 infection. “These authors suggest that perhaps there is a transient influence on the immune system that leads to a loss of self-tolerance to antigens,” Dr. Curtis said. “Some patients may have an underlying predisposition to autoimmunity in which infections just unmask as we sometimes see with other infections – chronic hepatitis for example.”
Antibody tests not recommended
In its COVID-19 guidance, the ACR, like the Food and Drug Administration, recommends health care providers not to routinely order antibody tests for IgM or IgG to assess immunity after a person has been vaccinated or to assess the need for vaccination in an unvaccinated person. More research is needed to determine if antibodies provide protection, and if so, for how long and how much. Plus, the antibody testing process is not clear cut, so ordering the wrong test is possible, Dr. Curtis said. The tests should clearly differentiate between spike proteins or nucleocapsid proteins.
“The bottom line is that you might be ordering the wrong lab test. Even if you’re ordering the right lab test, I would assert that you probably don’t know what to do with the result. I would then ask you, ‘Does it mean they are protected? Does it mean they are not protected? What are you going to do with the results?’ ” he asked.
Kevin Winthrop, MD, MPH, a specialist in infectious diseases at Oregon Health & Science University, Portland, said that, at this point, it’s too early to know what antibody tests mean. “I think it is tempting to test some people, especially patients on B-cell depletion therapy and those on mycophenolate mofetil (MMF). Outside of those two types of [disease-modifying antirheumatic drug] users, I wouldn’t be tempted to test. We don’t know how well protected they are, but we assume they are protected to some extent,” he said. “They’re probably partially protected and as such, they should take the same precautions they were taking a year ago: masking and avoidance. I think that’s just how it’s going to be for those folks for another year until we get this thing sorted out.”
Modifications to existing rheumatic disease therapies
In its COVID-19 vaccine guidance, the ACR issued recommendations for some common rheumatic disease therapeutics before and/or after the COVID-19 vaccine is administered. The modifications are limited to MMF, methotrexate, JAK inhibitors, subcutaneous abatacept, acetaminophen, and NSAIDs. The recommendations include: hold mycophenolate for 1 week after vaccination if disease is stable; for patients with well-controlled disease, hold methotrexate for 1 week after each of the two mRNA vaccine doses; for patients with well-controlled disease receiving the Johnson & Johnson vaccine, hold methotrexate for 2 weeks after receiving the vaccine; hold JAK inhibitors for 1 week after each dose; for abatacept subcutaneous, hold treatment for 1 week before and after the first dose; and in patients with stable disease, hold acetaminophen and NSAIDs for 24 hours before vaccination, because taking either before vaccination could blunt the vaccine response, Dr. Curtis said.
Holding medication, such as methotrexate, could risk having a flare-up of disease. One study showed the rate of disease flare-up because of withholding standard treatment may be up to 11%, compared with 5.1% in patients who did not hold treatment, he said.
“The point is, if you hold some of these therapies, whether methotrexate or tofacitinib, arthritis will get a little bit worse,” Dr. Curtis said.
A study published on the preprint server medRxiv found that immunosuppressive therapies blunted the response of SARS-CoV-2 vaccines in patients with chronic inflammatory diseases, most significantly with glucocorticoids and B-cell therapies.
“That’s what’s led to a lot of the guidance statements about holding treatments for a week or 2 for rituximab. If you’re giving it at 6-month intervals, you want to schedule the vaccine dose or series at about month 5, or a month before the next cycle,” he said.
Talking with patients about COVID-19 vaccination
In talking with patients about vaccine safety, Dr. Curtis recommends addressing a few common misperceptions. First, COVID-19 viruses were not created with a live-attenuated virus (which would be contraindicated for immunosuppressed patients). “You can put patients’ mind at ease that none of the vaccine candidates or platforms – even those that say viral vector – put patients at risk for contracting the infection. These are nonreplicating. So, it’s like you extracted the engine that would allow this virus to replicate,” he said.
Of three COVID-19 vaccinations available in the United States, is one better than the other? The ACR COVID-19 vaccine task force did not reach a consensus on safety profiles of the vaccines because, without head-to-head comparisons, it’s impossible to know, he said.
In talking with patients, review the protocol for continuing with prescribed treatment modalities before the patient receives a COVID-19 vaccine. Safety concerns and concerns about the possibility of having a disease flare-up should be addressed, he said.
With 49% of the U.S. population fully vaccinated against SARS-CoV-2, a new study highlights the degree of vaccine hesitancy among patients with rheumatic disease to get the vaccine.
The international study, published in May 2021 in Rheumatology, suggests that, of 1,258 patients surveyed worldwide, approximately 40% of patients said they would decline the vaccine.
“Sometimes it’s helpful to talk through their concerns,” said Jeffrey Curtis, MD, MPH, a University of Alabama at Birmingham rheumatologist who leads the American College of Rheumatology COVID-19 vaccine task force. Dr. Curtis recently reviewed the current literature on COVID-19 vaccination in patients with rheumatic and musculoskeletal diseases (RMDs) at the annual meeting of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis.
COVID-19 vaccinations for patients with autoimmune inflammatory rheumatic disease (AIIRD) is not straightforward. The immune response can be blunted by existing treatments and disease flares can occur.
The latest version of COVID-19 vaccination guidance for patients with RMDs from the ACR addresses vaccine use and implementation strategies. The guidance was issued as conditional or provisional because of the lack of evidence. Its principals are largely based on accepted practice for other vaccines. The guidance is routinely updated as new evidence becomes available. In his presentation at GRAPPA, Dr. Curtis reviewed the latest version of the guidance, which he emphasized is a guidance only and not meant to replace clinical judgment or shared decision-making with patients.
“This is a platform for you to start from as you are thinking about and discussing with your patient what might be best for him or her,” he said.
Concerns about impact of disease activity, treatments on effectiveness
Dr. Curtis highlighted some controversial aspects of COVID-19 vaccines, including heterogeneity of rheumatic diseases and treatment. Patients with AIIRD, including psoriatic arthritis, spondyloarthritis, RA, and lupus, are at higher risk for hospitalized COVID-19 and worse outcomes, and as such, they are prioritized for vaccination by the Centers for Disease Control and Prevention.
However, for AIIRD patients, the immune response to COVID-19 vaccination can be “blunted,” according to one study. This may be because of glucocorticoid use or high disease activity. Immunomodulatory therapies, such as methotrexate, rituximab, and abatacept, are known to diminish vaccine response in general. The evidence is less clear for tumor necrosis factor and Janus kinase inhibitors, but they are thought to have the same impact on vaccine effectiveness, Dr. Curtis said. But in these cases, if the effect of a COVID-19 vaccine drops from 90% to 70%, the benefits of vaccination still far outweighs the risk of contracting COVID-19.
“Although we don’t have strong data with clinical outcomes for autoimmune disease or inflammatory disease patients, I’ll run a hypothetical and say: ‘Look, if this vaccine starts 90%-95% effective, even if it’s only 70% effective in somebody with lupus or vasculitis or someone who is taking a higher dose of steroids, I’ll take 70% over nothing if you chose to be vaccinated,’ ” he said.
The benefit of vaccination also outweighs the potential risk of disease flare, he said. The risk is real, but to date, no studies have pointed to a significant risk of disease flare or worsening. However, there have been reported cases of myocardial infarction.
Autoimmune manifestations after vaccination vs. after infection
Researchers writing in the June 29, 2021, issue of JAMA Cardiology described case reports of acute myocarditis in 23 people who received the BNT162b2-mRNA (Pfizer-BioNTech) or mRNA-1273 (Moderna) messenger RNA (mRNA) COVID-19 vaccines. Plus, there been subsequent reports of myocarditis in other patients, wrote David K. Shay, MD, MPH, in an accompanying editorial. Dr. Shay is a member of the CDC COVID-19 Response Team.
“What do we know about this possible association between myocarditis and immunization with mRNA-based COVID-19 vaccines, and what remains unclear? Acute onset of chest pain 3-5 days after vaccine administration, usually after a second dose, is a typical feature of reported cases and suggests an immune-mediated mechanism,” he said.
The cases of myocarditis are concerning, Dr. Curtis said, but the risk is very low with relatively few cases reported among 161 million fully vaccinated people in the United States.
“Certainly, we’re not seeking to minimize that, but the risk of getting COVID and some of the downstream sequelae (autoimmune manifestations) almost certainly outweigh the risks for some of the autoimmune manifestations or worsening [condition],” he said.
A nationwide cohort study from Denmark of 58,052 patients with inflammatory rheumatic disease published in December 2020 in Rheumatology, found that patients with COVID-19 who had an inflammatory rheumatic disease were more likely to be admitted to the hospital, compared with COVID-19 patients without rheumatic disease. Patients with rheumatic disease had a higher risk of a severe COVID-19 outcome, but it was not a statistically significant difference, said Dr. Curtis, adding that the individual factors such as age and treatment currently received largely determines the risk. The strongest associations between hospitalization for COVID-19 and rheumatic disease were found among patients with RA, vasculitis, and connective tissue disease. Dr. Curtis noted that his own new study results show that risk of death from a COVID-19 infection is higher for patients who have RA or psoriatic arthritis.
There have been published case reports of patients who have developed new-onset lupus, vasculitis, Kawasaki disease, multiple sclerosis, autoimmune cytopenias, and other manifestations after a COVID-19 infection. “These authors suggest that perhaps there is a transient influence on the immune system that leads to a loss of self-tolerance to antigens,” Dr. Curtis said. “Some patients may have an underlying predisposition to autoimmunity in which infections just unmask as we sometimes see with other infections – chronic hepatitis for example.”
Antibody tests not recommended
In its COVID-19 guidance, the ACR, like the Food and Drug Administration, recommends health care providers not to routinely order antibody tests for IgM or IgG to assess immunity after a person has been vaccinated or to assess the need for vaccination in an unvaccinated person. More research is needed to determine if antibodies provide protection, and if so, for how long and how much. Plus, the antibody testing process is not clear cut, so ordering the wrong test is possible, Dr. Curtis said. The tests should clearly differentiate between spike proteins or nucleocapsid proteins.
“The bottom line is that you might be ordering the wrong lab test. Even if you’re ordering the right lab test, I would assert that you probably don’t know what to do with the result. I would then ask you, ‘Does it mean they are protected? Does it mean they are not protected? What are you going to do with the results?’ ” he asked.
Kevin Winthrop, MD, MPH, a specialist in infectious diseases at Oregon Health & Science University, Portland, said that, at this point, it’s too early to know what antibody tests mean. “I think it is tempting to test some people, especially patients on B-cell depletion therapy and those on mycophenolate mofetil (MMF). Outside of those two types of [disease-modifying antirheumatic drug] users, I wouldn’t be tempted to test. We don’t know how well protected they are, but we assume they are protected to some extent,” he said. “They’re probably partially protected and as such, they should take the same precautions they were taking a year ago: masking and avoidance. I think that’s just how it’s going to be for those folks for another year until we get this thing sorted out.”
Modifications to existing rheumatic disease therapies
In its COVID-19 vaccine guidance, the ACR issued recommendations for some common rheumatic disease therapeutics before and/or after the COVID-19 vaccine is administered. The modifications are limited to MMF, methotrexate, JAK inhibitors, subcutaneous abatacept, acetaminophen, and NSAIDs. The recommendations include: hold mycophenolate for 1 week after vaccination if disease is stable; for patients with well-controlled disease, hold methotrexate for 1 week after each of the two mRNA vaccine doses; for patients with well-controlled disease receiving the Johnson & Johnson vaccine, hold methotrexate for 2 weeks after receiving the vaccine; hold JAK inhibitors for 1 week after each dose; for abatacept subcutaneous, hold treatment for 1 week before and after the first dose; and in patients with stable disease, hold acetaminophen and NSAIDs for 24 hours before vaccination, because taking either before vaccination could blunt the vaccine response, Dr. Curtis said.
Holding medication, such as methotrexate, could risk having a flare-up of disease. One study showed the rate of disease flare-up because of withholding standard treatment may be up to 11%, compared with 5.1% in patients who did not hold treatment, he said.
“The point is, if you hold some of these therapies, whether methotrexate or tofacitinib, arthritis will get a little bit worse,” Dr. Curtis said.
A study published on the preprint server medRxiv found that immunosuppressive therapies blunted the response of SARS-CoV-2 vaccines in patients with chronic inflammatory diseases, most significantly with glucocorticoids and B-cell therapies.
“That’s what’s led to a lot of the guidance statements about holding treatments for a week or 2 for rituximab. If you’re giving it at 6-month intervals, you want to schedule the vaccine dose or series at about month 5, or a month before the next cycle,” he said.
Talking with patients about COVID-19 vaccination
In talking with patients about vaccine safety, Dr. Curtis recommends addressing a few common misperceptions. First, COVID-19 viruses were not created with a live-attenuated virus (which would be contraindicated for immunosuppressed patients). “You can put patients’ mind at ease that none of the vaccine candidates or platforms – even those that say viral vector – put patients at risk for contracting the infection. These are nonreplicating. So, it’s like you extracted the engine that would allow this virus to replicate,” he said.
Of three COVID-19 vaccinations available in the United States, is one better than the other? The ACR COVID-19 vaccine task force did not reach a consensus on safety profiles of the vaccines because, without head-to-head comparisons, it’s impossible to know, he said.
In talking with patients, review the protocol for continuing with prescribed treatment modalities before the patient receives a COVID-19 vaccine. Safety concerns and concerns about the possibility of having a disease flare-up should be addressed, he said.
FROM THE GRAPPA 2021 ANNUAL MEETING
Medicare rules for CPAP penalize low-income patients for nonadherence
Report from the CHEST Health Policy and Advocacy Committee (HPAC) Conference
The relationship between adherence and benefit for those prescribed continuous positive airway pressure (CPAP) devices is clear. However, a Medicare-reimbursement rule that demands adherence blind to circumstances appears to be denying access to many low-income patients, according to an analysis delivered at the annual CHEST Health Policy and Advocacy Committee (HPAC) conference sponsored by the American College of Chest Physicians.
Over the past several years, adherence to CPAP has improved substantially following a series of studies that demonstrated the device must be used at least 4 hours per night to achieve improved outcomes. Medicare defines adherence as using the device more than 4 hours per night for 70% of nights (21 nights) during a consecutive 30-day period any time in the first 3 months of initial usage.
However, the studies that show improved adherence show a lag among those in the lowest income quartile, according to Sairam Parthasarathy, MD, FCCP, of the Center for Sleep and Circadian Sciences at the University of Arizona, Tucson.
When patients are followed for a year after being prescribed CPAP, the lag for the low-income patients is not seen immediately. Rather, adherence studies show a steady climb in adherence in all income groups initially, but “right at 90 days, there is a marked change,” according to Dr. Parthasarathy.
This change happens to coincide with Medicare policy that denies reimbursement for CPAP after 90 days if patients are not using CPAP at least 4 hours per night, which is the threshold associated with benefit.
The correlation between this policy and income disparity is “observational” rather than proven, but Dr. Parthasarathy is confident it is valid. He believes it is a prime example of a health inequity driven by poorly conceived policy.
“The 90-day rule needs to go,” he said, calling the choice of threshold “man-made.”
“This is the only disease condition for which a therapy is withheld if it is not used according to some magical threshold,” he said. “I cannot think of a more draconian policy.”
In an effort to illustrate the problem, he likened this policy to withholding insulin in a diabetes patient judged nonadherent because of a persistently elevated Hb1Ac.
At 90 days, adherence rates remain at a relatively early point in their upwards trajectory in all income groups. One year later, adherence rates are more than twice as high in the highest income relative to the lowest quartile and approaching twofold greater in quartiles 2 and 3.
“It takes time to get used to these devices,” Dr. Parthasarathy explained. Given studies demonstrating that “more is better” with CPAP, whether measured by sleep scales or quality of life, Dr. Parthasarathy advocates strategies to improve adherence, but he questioned an approach that penalizes low-income patients for a definition of nonadherence at an arbitrary point in time. He suggested it is just one example of health policies that ultimately penalize individuals with lower incomes.
“There are millions of dollars spent every year on understanding the genetics of disease, but the biggest influence on how long you live is the ZIP code of where you live,” said Dr. Parthasarathy, referring to zip codes as a surrogate for socioeconomic status.
This is not to imply, however, that genetics are irrelevant, Dr. Parthasarathy said. He pointed to data linking genetic traits that determine melanin levels and circadian rhythms. He noted one genotype associated with later bedtimes that is more commonly found in African Americans and Hispanics. This has relevance to a variety of sleep disorders and other health conditions, but it might serve as a fundamental disadvantage for children with this genotype, Dr. Parthasarathy maintained. He cited a study conducted at his center that found Hispanic children sleep on average 30 minutes less than white children (Sleep Med. 2016;18:61-66). The reason was simple. Hispanic children went to bed 30 minutes later but rose at the same time.
The later bedtimes and reduced sleep could potentially be one obstacle among many, such as the need for lower income patients to hold several jobs, that prevent these patients from becoming accustomed to CPAP at the same speed as wealthier patients, according to Dr. Parthasarathy.
The current Medicare policy that withholds CPAP on the basis of a single definition of nonadherence appears to lead directly to an inequity in treatment of sleep apnea, Dr. Parthasarathy maintained. Dr. Parthasarathy, who was a coauthor of a recently published paper on addressing disparities in sleep health (Chest. 2021;159:1232-40), described this issue as part of a larger problem of the failure to deliver health care that is sensitive to the cultural and racial differences underlying these inequities.
Kathleen Sarmiento, MD, FCCP, Director, VISN 21 Sleep Clinical Resource Hub for the San Francisco VA Health Care System, agreed. Dr. Sarmiento, a member of the CHEST Health Policy and Advocacy Committee and the moderator of the session in which Dr. Parthasarathy presented his data, said, “This type of issue is exactly what our Committee [HPAC] would like to address.”
The association between the 90-day Medicare rule for CPAP reimbursement and reduced access to this therapy among patients of lower economic status is compelling, she indicated. Within the goal of advocacy for health policies that will reduce inequities, Dr. Sarmiento explained that the committee is attempting to identify and reverse the source of these types of disparity.
“Specific rules or regulations are actionable targets to effect broader change in health care access and health care delivery,” said Dr. Sarmiento, alluding to the mission of HPAC.
Dr. Parthasarathy and Dr. Sarmiento report no relevant conflicts of interest.
Report from the CHEST Health Policy and Advocacy Committee (HPAC) Conference
Report from the CHEST Health Policy and Advocacy Committee (HPAC) Conference
The relationship between adherence and benefit for those prescribed continuous positive airway pressure (CPAP) devices is clear. However, a Medicare-reimbursement rule that demands adherence blind to circumstances appears to be denying access to many low-income patients, according to an analysis delivered at the annual CHEST Health Policy and Advocacy Committee (HPAC) conference sponsored by the American College of Chest Physicians.
Over the past several years, adherence to CPAP has improved substantially following a series of studies that demonstrated the device must be used at least 4 hours per night to achieve improved outcomes. Medicare defines adherence as using the device more than 4 hours per night for 70% of nights (21 nights) during a consecutive 30-day period any time in the first 3 months of initial usage.
However, the studies that show improved adherence show a lag among those in the lowest income quartile, according to Sairam Parthasarathy, MD, FCCP, of the Center for Sleep and Circadian Sciences at the University of Arizona, Tucson.
When patients are followed for a year after being prescribed CPAP, the lag for the low-income patients is not seen immediately. Rather, adherence studies show a steady climb in adherence in all income groups initially, but “right at 90 days, there is a marked change,” according to Dr. Parthasarathy.
This change happens to coincide with Medicare policy that denies reimbursement for CPAP after 90 days if patients are not using CPAP at least 4 hours per night, which is the threshold associated with benefit.
The correlation between this policy and income disparity is “observational” rather than proven, but Dr. Parthasarathy is confident it is valid. He believes it is a prime example of a health inequity driven by poorly conceived policy.
“The 90-day rule needs to go,” he said, calling the choice of threshold “man-made.”
“This is the only disease condition for which a therapy is withheld if it is not used according to some magical threshold,” he said. “I cannot think of a more draconian policy.”
In an effort to illustrate the problem, he likened this policy to withholding insulin in a diabetes patient judged nonadherent because of a persistently elevated Hb1Ac.
At 90 days, adherence rates remain at a relatively early point in their upwards trajectory in all income groups. One year later, adherence rates are more than twice as high in the highest income relative to the lowest quartile and approaching twofold greater in quartiles 2 and 3.
“It takes time to get used to these devices,” Dr. Parthasarathy explained. Given studies demonstrating that “more is better” with CPAP, whether measured by sleep scales or quality of life, Dr. Parthasarathy advocates strategies to improve adherence, but he questioned an approach that penalizes low-income patients for a definition of nonadherence at an arbitrary point in time. He suggested it is just one example of health policies that ultimately penalize individuals with lower incomes.
“There are millions of dollars spent every year on understanding the genetics of disease, but the biggest influence on how long you live is the ZIP code of where you live,” said Dr. Parthasarathy, referring to zip codes as a surrogate for socioeconomic status.
This is not to imply, however, that genetics are irrelevant, Dr. Parthasarathy said. He pointed to data linking genetic traits that determine melanin levels and circadian rhythms. He noted one genotype associated with later bedtimes that is more commonly found in African Americans and Hispanics. This has relevance to a variety of sleep disorders and other health conditions, but it might serve as a fundamental disadvantage for children with this genotype, Dr. Parthasarathy maintained. He cited a study conducted at his center that found Hispanic children sleep on average 30 minutes less than white children (Sleep Med. 2016;18:61-66). The reason was simple. Hispanic children went to bed 30 minutes later but rose at the same time.
The later bedtimes and reduced sleep could potentially be one obstacle among many, such as the need for lower income patients to hold several jobs, that prevent these patients from becoming accustomed to CPAP at the same speed as wealthier patients, according to Dr. Parthasarathy.
The current Medicare policy that withholds CPAP on the basis of a single definition of nonadherence appears to lead directly to an inequity in treatment of sleep apnea, Dr. Parthasarathy maintained. Dr. Parthasarathy, who was a coauthor of a recently published paper on addressing disparities in sleep health (Chest. 2021;159:1232-40), described this issue as part of a larger problem of the failure to deliver health care that is sensitive to the cultural and racial differences underlying these inequities.
Kathleen Sarmiento, MD, FCCP, Director, VISN 21 Sleep Clinical Resource Hub for the San Francisco VA Health Care System, agreed. Dr. Sarmiento, a member of the CHEST Health Policy and Advocacy Committee and the moderator of the session in which Dr. Parthasarathy presented his data, said, “This type of issue is exactly what our Committee [HPAC] would like to address.”
The association between the 90-day Medicare rule for CPAP reimbursement and reduced access to this therapy among patients of lower economic status is compelling, she indicated. Within the goal of advocacy for health policies that will reduce inequities, Dr. Sarmiento explained that the committee is attempting to identify and reverse the source of these types of disparity.
“Specific rules or regulations are actionable targets to effect broader change in health care access and health care delivery,” said Dr. Sarmiento, alluding to the mission of HPAC.
Dr. Parthasarathy and Dr. Sarmiento report no relevant conflicts of interest.
The relationship between adherence and benefit for those prescribed continuous positive airway pressure (CPAP) devices is clear. However, a Medicare-reimbursement rule that demands adherence blind to circumstances appears to be denying access to many low-income patients, according to an analysis delivered at the annual CHEST Health Policy and Advocacy Committee (HPAC) conference sponsored by the American College of Chest Physicians.
Over the past several years, adherence to CPAP has improved substantially following a series of studies that demonstrated the device must be used at least 4 hours per night to achieve improved outcomes. Medicare defines adherence as using the device more than 4 hours per night for 70% of nights (21 nights) during a consecutive 30-day period any time in the first 3 months of initial usage.
However, the studies that show improved adherence show a lag among those in the lowest income quartile, according to Sairam Parthasarathy, MD, FCCP, of the Center for Sleep and Circadian Sciences at the University of Arizona, Tucson.
When patients are followed for a year after being prescribed CPAP, the lag for the low-income patients is not seen immediately. Rather, adherence studies show a steady climb in adherence in all income groups initially, but “right at 90 days, there is a marked change,” according to Dr. Parthasarathy.
This change happens to coincide with Medicare policy that denies reimbursement for CPAP after 90 days if patients are not using CPAP at least 4 hours per night, which is the threshold associated with benefit.
The correlation between this policy and income disparity is “observational” rather than proven, but Dr. Parthasarathy is confident it is valid. He believes it is a prime example of a health inequity driven by poorly conceived policy.
“The 90-day rule needs to go,” he said, calling the choice of threshold “man-made.”
“This is the only disease condition for which a therapy is withheld if it is not used according to some magical threshold,” he said. “I cannot think of a more draconian policy.”
In an effort to illustrate the problem, he likened this policy to withholding insulin in a diabetes patient judged nonadherent because of a persistently elevated Hb1Ac.
At 90 days, adherence rates remain at a relatively early point in their upwards trajectory in all income groups. One year later, adherence rates are more than twice as high in the highest income relative to the lowest quartile and approaching twofold greater in quartiles 2 and 3.
“It takes time to get used to these devices,” Dr. Parthasarathy explained. Given studies demonstrating that “more is better” with CPAP, whether measured by sleep scales or quality of life, Dr. Parthasarathy advocates strategies to improve adherence, but he questioned an approach that penalizes low-income patients for a definition of nonadherence at an arbitrary point in time. He suggested it is just one example of health policies that ultimately penalize individuals with lower incomes.
“There are millions of dollars spent every year on understanding the genetics of disease, but the biggest influence on how long you live is the ZIP code of where you live,” said Dr. Parthasarathy, referring to zip codes as a surrogate for socioeconomic status.
This is not to imply, however, that genetics are irrelevant, Dr. Parthasarathy said. He pointed to data linking genetic traits that determine melanin levels and circadian rhythms. He noted one genotype associated with later bedtimes that is more commonly found in African Americans and Hispanics. This has relevance to a variety of sleep disorders and other health conditions, but it might serve as a fundamental disadvantage for children with this genotype, Dr. Parthasarathy maintained. He cited a study conducted at his center that found Hispanic children sleep on average 30 minutes less than white children (Sleep Med. 2016;18:61-66). The reason was simple. Hispanic children went to bed 30 minutes later but rose at the same time.
The later bedtimes and reduced sleep could potentially be one obstacle among many, such as the need for lower income patients to hold several jobs, that prevent these patients from becoming accustomed to CPAP at the same speed as wealthier patients, according to Dr. Parthasarathy.
The current Medicare policy that withholds CPAP on the basis of a single definition of nonadherence appears to lead directly to an inequity in treatment of sleep apnea, Dr. Parthasarathy maintained. Dr. Parthasarathy, who was a coauthor of a recently published paper on addressing disparities in sleep health (Chest. 2021;159:1232-40), described this issue as part of a larger problem of the failure to deliver health care that is sensitive to the cultural and racial differences underlying these inequities.
Kathleen Sarmiento, MD, FCCP, Director, VISN 21 Sleep Clinical Resource Hub for the San Francisco VA Health Care System, agreed. Dr. Sarmiento, a member of the CHEST Health Policy and Advocacy Committee and the moderator of the session in which Dr. Parthasarathy presented his data, said, “This type of issue is exactly what our Committee [HPAC] would like to address.”
The association between the 90-day Medicare rule for CPAP reimbursement and reduced access to this therapy among patients of lower economic status is compelling, she indicated. Within the goal of advocacy for health policies that will reduce inequities, Dr. Sarmiento explained that the committee is attempting to identify and reverse the source of these types of disparity.
“Specific rules or regulations are actionable targets to effect broader change in health care access and health care delivery,” said Dr. Sarmiento, alluding to the mission of HPAC.
Dr. Parthasarathy and Dr. Sarmiento report no relevant conflicts of interest.
Twice-a-year lenacapavir shows viral suppression in drug-resistant HIV at 26 weeks
“These data support the use of lenacapavir in patients with multidrug-resistant viruses, and according to its long half-life of two subcutaneous injections per year, [it] could help reduce pill burden,” first author Jean-Michel Molina, MD, PhD, professor of infectious diseases and head of the infectious diseases department at the Saint-Louis and Lariboisière Hospitals, Paris, said in an interview.
Presenting the updated findings from the phase 2/3 CAPELLA trial at the virtual annual meeting of the International AIDS Society conference, Dr. Molina underscored the need for longer-term treatments.
“These patients with multidrug resistances are usually those who have not been fully adherent to their regimen,” he said. “Being able to provide the drug, given every 6 months subcutaneously, provides an ideal treatment for overcoming resistance and lack of adherence.”
The study showed that, after 26 weeks, 81% of heavily treatment-experienced people with HIV in a randomized cohort who were treated with a subcutaneous injection of lenacapavir (927 mg) combined with an optimized background antiretroviral regimen achieved sustained virologic suppression, with an undetectable viral load (<50 copies/mL).
In addition, the lenacapavir-treated patients had a clinically meaningful mean increase in CD4 counts of 81 cells/mcL over the 26 weeks.
The drug was well tolerated, with no drug-related serious adverse events or adverse events leading to discontinuation. The most common adverse events were injection-site reactions, which occurred in 56% of participants, with most being mild or moderate.
Importantly, four participants developed emergent resistances to lenacapavir. One was suppressed with a change in the background regimen and two others were suppressed without a change in regimen.
“We know that these mutations affect viral fitness,” Dr. Molina said in an interview. “We need more studies to assess the real impact of these mutations.”
Dr. Molina noted that a phase 2 study is already underway to evaluate how a pairing of lenacapavir with fellow investigational long-acting drug islatravir (Merck) could offset the risk of developing resistances.
Asked by an audience member whether a two-drug regimen with something like islatravir is likely to successfully prevent resistances, Dr. Molina responded that “it’s too early to know what’s going to happen with [combinations], but these first results are really encouraging when you see the very high rate of being fully suppressed after 26 weeks. The efficacy that we’ve seen after [a previous 2-week analysis] is long lasting.”
Lenacapavir targets multiple viral stages
Unlike other antiviral drugs that target just a single stage of viral replication, lenacapavir takes aim at multiple steps in the viral life cycle, including capsid-mediated uptake of HIV-1 proviral DNA, virus assembly and release, and capsid core formation, Dr. Molina explained.
The CAPELLA trial included participants at research centers in North America, Europe, and Asia, with a median age of 52 years; 25% were female, 38% were Black, and their mean HIV-1 RNA (viral load) was 4.17 log copies/mL.
Overall, 72 patients were divided into two cohorts of 36 patients each, including a randomized and nonrandomized cohort. Dr. Molina primarily reported results from the randomized group.
In that group, patients received either a lead-in of oral lenacapavir (600 mg on day 1 and 2 and 300 mg on day 8) or placebo, in combination with patients’ current failing drug regimens in both groups.
At day 15, all participants were switched to the investigator-selected, optimized background treatment regimen, tailored according to patients’ drug-resistance profiles, and those in the lenacapavir group received the subcutaneous injection of lenacapavir; those in the placebo group were switched to the oral lead-in, followed by subcutaneous lenacapavir every 6 months.
Combined data that included six patients from the nonrandomized cohort showed that 79% of patients had a viral load of less than 50 copies/mL at week 26. The 81% viral suppression rate represented the randomized group (29 of 36).
International AIDS Society cochair Hendrik Streeck, MD, director of the Institute of Virology and Institute for HIV Research at the University Bonn (Germany), said a twice-a-year drug could possibly have profound benefits with a reduction in daily pill burden.
“What makes this an interesting drug is that it is long acting, so one can imagine it has the potential to treat individuals such as those who are not very adherent to the antiretroviral therapy, or who can’t easily access treatment, for example in resource-limited settings,” he said in an interview. “The option to treat patients for the next months in advance could be a very important next step.”
Further data from CALIBRATE
Additional data on lenacapavir from the phase 2 CALIBRATE study, presented in a separate session, further showed the drug, given orally or subcutaneously in combination with oral daily emtricitabine/tenofovir alafenamide, resulted in high rates of viral suppression among 94% of 157 treatment-naive patients after 28 weeks.
Commenting on the research, session moderator Alexandra Calmy, MD, PhD, of the HIV/AIDS unit and LIPO & Metabolism group, infectious diseases division, Geneva University Hospitals, noted the study offered “interesting data indeed” – with some caveats: “Why position a new drug class in naive patients [when] we already have good options, available for a large range of various populations?”
Dr. Calmy noted that, in general, lenacapavir “would certainly be an added value with an adapted 6-monthly companion drug.”
But she raised another key issue: “When will we have data on pregnancy that would allow lenacapavir to really be a game changer worldwide?”
The study was funded by Gilead Sciences. Dr. Molina reported receiving research funding from Gilead and being on advisory boards for Gilead, Merck, ViiV, and Janssen. Dr. Calmy and Dr. Streeck reported no relevant financial relationships.
“These data support the use of lenacapavir in patients with multidrug-resistant viruses, and according to its long half-life of two subcutaneous injections per year, [it] could help reduce pill burden,” first author Jean-Michel Molina, MD, PhD, professor of infectious diseases and head of the infectious diseases department at the Saint-Louis and Lariboisière Hospitals, Paris, said in an interview.
Presenting the updated findings from the phase 2/3 CAPELLA trial at the virtual annual meeting of the International AIDS Society conference, Dr. Molina underscored the need for longer-term treatments.
“These patients with multidrug resistances are usually those who have not been fully adherent to their regimen,” he said. “Being able to provide the drug, given every 6 months subcutaneously, provides an ideal treatment for overcoming resistance and lack of adherence.”
The study showed that, after 26 weeks, 81% of heavily treatment-experienced people with HIV in a randomized cohort who were treated with a subcutaneous injection of lenacapavir (927 mg) combined with an optimized background antiretroviral regimen achieved sustained virologic suppression, with an undetectable viral load (<50 copies/mL).
In addition, the lenacapavir-treated patients had a clinically meaningful mean increase in CD4 counts of 81 cells/mcL over the 26 weeks.
The drug was well tolerated, with no drug-related serious adverse events or adverse events leading to discontinuation. The most common adverse events were injection-site reactions, which occurred in 56% of participants, with most being mild or moderate.
Importantly, four participants developed emergent resistances to lenacapavir. One was suppressed with a change in the background regimen and two others were suppressed without a change in regimen.
“We know that these mutations affect viral fitness,” Dr. Molina said in an interview. “We need more studies to assess the real impact of these mutations.”
Dr. Molina noted that a phase 2 study is already underway to evaluate how a pairing of lenacapavir with fellow investigational long-acting drug islatravir (Merck) could offset the risk of developing resistances.
Asked by an audience member whether a two-drug regimen with something like islatravir is likely to successfully prevent resistances, Dr. Molina responded that “it’s too early to know what’s going to happen with [combinations], but these first results are really encouraging when you see the very high rate of being fully suppressed after 26 weeks. The efficacy that we’ve seen after [a previous 2-week analysis] is long lasting.”
Lenacapavir targets multiple viral stages
Unlike other antiviral drugs that target just a single stage of viral replication, lenacapavir takes aim at multiple steps in the viral life cycle, including capsid-mediated uptake of HIV-1 proviral DNA, virus assembly and release, and capsid core formation, Dr. Molina explained.
The CAPELLA trial included participants at research centers in North America, Europe, and Asia, with a median age of 52 years; 25% were female, 38% were Black, and their mean HIV-1 RNA (viral load) was 4.17 log copies/mL.
Overall, 72 patients were divided into two cohorts of 36 patients each, including a randomized and nonrandomized cohort. Dr. Molina primarily reported results from the randomized group.
In that group, patients received either a lead-in of oral lenacapavir (600 mg on day 1 and 2 and 300 mg on day 8) or placebo, in combination with patients’ current failing drug regimens in both groups.
At day 15, all participants were switched to the investigator-selected, optimized background treatment regimen, tailored according to patients’ drug-resistance profiles, and those in the lenacapavir group received the subcutaneous injection of lenacapavir; those in the placebo group were switched to the oral lead-in, followed by subcutaneous lenacapavir every 6 months.
Combined data that included six patients from the nonrandomized cohort showed that 79% of patients had a viral load of less than 50 copies/mL at week 26. The 81% viral suppression rate represented the randomized group (29 of 36).
International AIDS Society cochair Hendrik Streeck, MD, director of the Institute of Virology and Institute for HIV Research at the University Bonn (Germany), said a twice-a-year drug could possibly have profound benefits with a reduction in daily pill burden.
“What makes this an interesting drug is that it is long acting, so one can imagine it has the potential to treat individuals such as those who are not very adherent to the antiretroviral therapy, or who can’t easily access treatment, for example in resource-limited settings,” he said in an interview. “The option to treat patients for the next months in advance could be a very important next step.”
Further data from CALIBRATE
Additional data on lenacapavir from the phase 2 CALIBRATE study, presented in a separate session, further showed the drug, given orally or subcutaneously in combination with oral daily emtricitabine/tenofovir alafenamide, resulted in high rates of viral suppression among 94% of 157 treatment-naive patients after 28 weeks.
Commenting on the research, session moderator Alexandra Calmy, MD, PhD, of the HIV/AIDS unit and LIPO & Metabolism group, infectious diseases division, Geneva University Hospitals, noted the study offered “interesting data indeed” – with some caveats: “Why position a new drug class in naive patients [when] we already have good options, available for a large range of various populations?”
Dr. Calmy noted that, in general, lenacapavir “would certainly be an added value with an adapted 6-monthly companion drug.”
But she raised another key issue: “When will we have data on pregnancy that would allow lenacapavir to really be a game changer worldwide?”
The study was funded by Gilead Sciences. Dr. Molina reported receiving research funding from Gilead and being on advisory boards for Gilead, Merck, ViiV, and Janssen. Dr. Calmy and Dr. Streeck reported no relevant financial relationships.
“These data support the use of lenacapavir in patients with multidrug-resistant viruses, and according to its long half-life of two subcutaneous injections per year, [it] could help reduce pill burden,” first author Jean-Michel Molina, MD, PhD, professor of infectious diseases and head of the infectious diseases department at the Saint-Louis and Lariboisière Hospitals, Paris, said in an interview.
Presenting the updated findings from the phase 2/3 CAPELLA trial at the virtual annual meeting of the International AIDS Society conference, Dr. Molina underscored the need for longer-term treatments.
“These patients with multidrug resistances are usually those who have not been fully adherent to their regimen,” he said. “Being able to provide the drug, given every 6 months subcutaneously, provides an ideal treatment for overcoming resistance and lack of adherence.”
The study showed that, after 26 weeks, 81% of heavily treatment-experienced people with HIV in a randomized cohort who were treated with a subcutaneous injection of lenacapavir (927 mg) combined with an optimized background antiretroviral regimen achieved sustained virologic suppression, with an undetectable viral load (<50 copies/mL).
In addition, the lenacapavir-treated patients had a clinically meaningful mean increase in CD4 counts of 81 cells/mcL over the 26 weeks.
The drug was well tolerated, with no drug-related serious adverse events or adverse events leading to discontinuation. The most common adverse events were injection-site reactions, which occurred in 56% of participants, with most being mild or moderate.
Importantly, four participants developed emergent resistances to lenacapavir. One was suppressed with a change in the background regimen and two others were suppressed without a change in regimen.
“We know that these mutations affect viral fitness,” Dr. Molina said in an interview. “We need more studies to assess the real impact of these mutations.”
Dr. Molina noted that a phase 2 study is already underway to evaluate how a pairing of lenacapavir with fellow investigational long-acting drug islatravir (Merck) could offset the risk of developing resistances.
Asked by an audience member whether a two-drug regimen with something like islatravir is likely to successfully prevent resistances, Dr. Molina responded that “it’s too early to know what’s going to happen with [combinations], but these first results are really encouraging when you see the very high rate of being fully suppressed after 26 weeks. The efficacy that we’ve seen after [a previous 2-week analysis] is long lasting.”
Lenacapavir targets multiple viral stages
Unlike other antiviral drugs that target just a single stage of viral replication, lenacapavir takes aim at multiple steps in the viral life cycle, including capsid-mediated uptake of HIV-1 proviral DNA, virus assembly and release, and capsid core formation, Dr. Molina explained.
The CAPELLA trial included participants at research centers in North America, Europe, and Asia, with a median age of 52 years; 25% were female, 38% were Black, and their mean HIV-1 RNA (viral load) was 4.17 log copies/mL.
Overall, 72 patients were divided into two cohorts of 36 patients each, including a randomized and nonrandomized cohort. Dr. Molina primarily reported results from the randomized group.
In that group, patients received either a lead-in of oral lenacapavir (600 mg on day 1 and 2 and 300 mg on day 8) or placebo, in combination with patients’ current failing drug regimens in both groups.
At day 15, all participants were switched to the investigator-selected, optimized background treatment regimen, tailored according to patients’ drug-resistance profiles, and those in the lenacapavir group received the subcutaneous injection of lenacapavir; those in the placebo group were switched to the oral lead-in, followed by subcutaneous lenacapavir every 6 months.
Combined data that included six patients from the nonrandomized cohort showed that 79% of patients had a viral load of less than 50 copies/mL at week 26. The 81% viral suppression rate represented the randomized group (29 of 36).
International AIDS Society cochair Hendrik Streeck, MD, director of the Institute of Virology and Institute for HIV Research at the University Bonn (Germany), said a twice-a-year drug could possibly have profound benefits with a reduction in daily pill burden.
“What makes this an interesting drug is that it is long acting, so one can imagine it has the potential to treat individuals such as those who are not very adherent to the antiretroviral therapy, or who can’t easily access treatment, for example in resource-limited settings,” he said in an interview. “The option to treat patients for the next months in advance could be a very important next step.”
Further data from CALIBRATE
Additional data on lenacapavir from the phase 2 CALIBRATE study, presented in a separate session, further showed the drug, given orally or subcutaneously in combination with oral daily emtricitabine/tenofovir alafenamide, resulted in high rates of viral suppression among 94% of 157 treatment-naive patients after 28 weeks.
Commenting on the research, session moderator Alexandra Calmy, MD, PhD, of the HIV/AIDS unit and LIPO & Metabolism group, infectious diseases division, Geneva University Hospitals, noted the study offered “interesting data indeed” – with some caveats: “Why position a new drug class in naive patients [when] we already have good options, available for a large range of various populations?”
Dr. Calmy noted that, in general, lenacapavir “would certainly be an added value with an adapted 6-monthly companion drug.”
But she raised another key issue: “When will we have data on pregnancy that would allow lenacapavir to really be a game changer worldwide?”
The study was funded by Gilead Sciences. Dr. Molina reported receiving research funding from Gilead and being on advisory boards for Gilead, Merck, ViiV, and Janssen. Dr. Calmy and Dr. Streeck reported no relevant financial relationships.
FROM IAS 2021
FDA approves intravenous immunoglobulin for dermatomyositis
statement from manufacturer Octapharma USA.
, according to aDermatomyositis is a rare, idiopathic autoimmune disorder that affects approximately 10 out of every million people in the United States, mainly adults in their late 40s to early 60s, according to the company, but children aged 5-15 years can be affected. The disease is characterized by skin rashes, chronic muscle inflammation, progressive muscle weakness, and risk for mortality that is three times higher than for the general population.
There are no previously approved treatments for dermatomyositis prior to Octagam 10%, which also is indicated for chronic immune thrombocytopenic purpura in adults.
The approval for dermatomyositis was based on the results of a phase 3 randomized, double-blind, placebo-controlled clinical trial (the ProDERM trial) that included 95 adult patients at 36 sites worldwide, with 17 sites in the United States. In the trial, 78.7% of patients with dermatomyositis who were randomized to receive 2 g/kg of Octagam 10% every 4 weeks showed response at 16 weeks, compared with 43.8% of patients who received placebo. Response was based on the 2016 American College of Rheumatology/European Alliance of Associations for Rheumatology myositis response criteria. Placebo patients who switched to intravenous immunoglobulin (IVIG) during a trial extension had response rates at week 40 similar to the original patients at week 16.
“The study gives clinicians much more confidence in the efficacy and safety of intravenous immunoglobulin and provides valuable information about what type of patient is best suited for the treatment,” Rohit Aggarwal, MD, medical director of the Arthritis and Autoimmunity Center at the University of Pittsburgh and a member of the ProDERM study Steering Committee, said in the Octapharma statement.
Safety and tolerability were similar to profiles seen with other IVIG medications, according to the statement. The medication does carry a boxed warning from its chronic ITP approval, cautioning about the potential for thrombosis, renal dysfunction, and acute renal failure.
The most common adverse reactions reported by dermatomyositis patients in the ProDERM trial were headache, fever, nausea, vomiting, increased blood pressure, chills, musculoskeletal pain, increased heart rate, dyspnea, and reactions at the infusion sites.
Read the full prescribing information here.
statement from manufacturer Octapharma USA.
, according to aDermatomyositis is a rare, idiopathic autoimmune disorder that affects approximately 10 out of every million people in the United States, mainly adults in their late 40s to early 60s, according to the company, but children aged 5-15 years can be affected. The disease is characterized by skin rashes, chronic muscle inflammation, progressive muscle weakness, and risk for mortality that is three times higher than for the general population.
There are no previously approved treatments for dermatomyositis prior to Octagam 10%, which also is indicated for chronic immune thrombocytopenic purpura in adults.
The approval for dermatomyositis was based on the results of a phase 3 randomized, double-blind, placebo-controlled clinical trial (the ProDERM trial) that included 95 adult patients at 36 sites worldwide, with 17 sites in the United States. In the trial, 78.7% of patients with dermatomyositis who were randomized to receive 2 g/kg of Octagam 10% every 4 weeks showed response at 16 weeks, compared with 43.8% of patients who received placebo. Response was based on the 2016 American College of Rheumatology/European Alliance of Associations for Rheumatology myositis response criteria. Placebo patients who switched to intravenous immunoglobulin (IVIG) during a trial extension had response rates at week 40 similar to the original patients at week 16.
“The study gives clinicians much more confidence in the efficacy and safety of intravenous immunoglobulin and provides valuable information about what type of patient is best suited for the treatment,” Rohit Aggarwal, MD, medical director of the Arthritis and Autoimmunity Center at the University of Pittsburgh and a member of the ProDERM study Steering Committee, said in the Octapharma statement.
Safety and tolerability were similar to profiles seen with other IVIG medications, according to the statement. The medication does carry a boxed warning from its chronic ITP approval, cautioning about the potential for thrombosis, renal dysfunction, and acute renal failure.
The most common adverse reactions reported by dermatomyositis patients in the ProDERM trial were headache, fever, nausea, vomiting, increased blood pressure, chills, musculoskeletal pain, increased heart rate, dyspnea, and reactions at the infusion sites.
Read the full prescribing information here.
statement from manufacturer Octapharma USA.
, according to aDermatomyositis is a rare, idiopathic autoimmune disorder that affects approximately 10 out of every million people in the United States, mainly adults in their late 40s to early 60s, according to the company, but children aged 5-15 years can be affected. The disease is characterized by skin rashes, chronic muscle inflammation, progressive muscle weakness, and risk for mortality that is three times higher than for the general population.
There are no previously approved treatments for dermatomyositis prior to Octagam 10%, which also is indicated for chronic immune thrombocytopenic purpura in adults.
The approval for dermatomyositis was based on the results of a phase 3 randomized, double-blind, placebo-controlled clinical trial (the ProDERM trial) that included 95 adult patients at 36 sites worldwide, with 17 sites in the United States. In the trial, 78.7% of patients with dermatomyositis who were randomized to receive 2 g/kg of Octagam 10% every 4 weeks showed response at 16 weeks, compared with 43.8% of patients who received placebo. Response was based on the 2016 American College of Rheumatology/European Alliance of Associations for Rheumatology myositis response criteria. Placebo patients who switched to intravenous immunoglobulin (IVIG) during a trial extension had response rates at week 40 similar to the original patients at week 16.
“The study gives clinicians much more confidence in the efficacy and safety of intravenous immunoglobulin and provides valuable information about what type of patient is best suited for the treatment,” Rohit Aggarwal, MD, medical director of the Arthritis and Autoimmunity Center at the University of Pittsburgh and a member of the ProDERM study Steering Committee, said in the Octapharma statement.
Safety and tolerability were similar to profiles seen with other IVIG medications, according to the statement. The medication does carry a boxed warning from its chronic ITP approval, cautioning about the potential for thrombosis, renal dysfunction, and acute renal failure.
The most common adverse reactions reported by dermatomyositis patients in the ProDERM trial were headache, fever, nausea, vomiting, increased blood pressure, chills, musculoskeletal pain, increased heart rate, dyspnea, and reactions at the infusion sites.
Read the full prescribing information here.
Analysis supports CAC for personalizing statin use
In patients with intermediate risk of atherosclerotic cardiovascular disease along with risk-enhancing factors, coronary artery calcium scoring may help more precisely calculate their need for statin therapy.
Furthermore, when the need for statin treatment isn’t so clear and patients need additional risk assessment, the scoring can provide further information to personalize clinical decision making, according to a cross-sectional study of 1,688 participants in the Multi-Ethnic Study of Atherosclerosis (MESA) published in JAMA Cardiology.
And regardless of coronary artery calcium (CAC), a low ankle brachial index (ABI) score is a marker for statin therapy, the study found.
The study looked at CAC scoring in the context of ABI and other risk-enhancing factors identified in the 2018 American Heart Association/American College of Cardiology cholesterol management guidelines: a family history of premature atherosclerotic cardiovascular disease (ASCVD), lipid and inflammatory biomarkers, chronic kidney disease, chronic inflammatory conditions, premature menopause or preeclampsia, and South Asian ancestry.
Any number of these factors can indicate the need for statins in people with borderline or intermediate risk. The guidelines also call for selective use of CAC to aid the decision-making process for statin therapy when the risk for developing atherosclerosis isn’t so clear.
“The novel risk-enhancing factors are not perfect,” said lead author Jaideep Patel, MD, director of preventive cardiology at Johns Hopkins Heart Center at Greater Baltimore Medical Center. He noted that the 2018 dyslipidemia guidelines suggested the risk for cardiovascular events rises when new risk-enhancing factors emerge, and that it was difficult to predict the extent to which each enhancer could change the 10-year risk.
Utility of CAC
“In this setting, the most significant finding that supports the utility of CAC scoring is when CAC is absent – a CAC of 0 – even in the setting of any of these enhancers, whether it be single or multiple, the 10-year risk remains extremely low – at the very least below the accepted threshold to initiate statin therapy,” Dr. Patel said.
That threshold is below the 7.5% 10-year ASCVD incidence rate. Over the 12-year mean study follow-up, the ASCVD incidence rate among patients with a CAC score of 0 for all risk-enhancing factors was 7.5 events per 1,000 person years, with one exception: ABI had an incidence rate of 10.4 events per 1,000 person years. “A low ABI score should trigger statin initiation irrespective of CAC score,” Dr. Patel said.
The study found a CAC score of 0 in 45.7% of those with one or two risk-enhancing factors versus 40.3% in those with three or more. “Across all the risk enhancers (except low ABI), the prevalence of CAC of 0 was greater than 50% in women; that is, enhancers overestimate risk,” Dr. Patel said. “The prevalence of CAC of 0 was approximately 40% across all risk enhancers; that is, enhancers overestimate risk.”
Dr. Patel said previous studies have suggested the risk of a major cardiovascular event was almost identical for statin and nonstatin users with a CAC score of 0. “If there is uncertainty about statin use after the physician-patient risk discussion,” he said, “CAC scoring may be helpful to guide the use of statin therapy.”
Senior author Mahmoud Al Rifai, MD, MPH, added: “For example, if CAC was absent, a statin could be deprescribed if there’s disutility on the part of the patient, with ongoing lifestyle and risk factor modification efforts.” Dr. Al Rifai is a cardiology fellow at Baylor College of Medicine, Houston.
Dr. Patel said: “Alternatively, if CAC was present, then it would be prudent to continue statin therapy.”
While South Asian ethnicity is a risk enhancing factor, the investigators acknowledged that MESA didn’t recruit this population group.
Study confirms guidelines
The study “supports the contention of the [AHA/ACC] guidelines that, in people who are in this intermediate risk range, there may be factors that either favor statin treatment or suggest that statin treatment could be deferred,” said Neil J. Stone, MD, of Northwestern University, Chicago, and author of the 2013 ASCVD risk calculator. “The guidelines pointed out that risk-enhancing factors may be associated with an increase in lifetime risk, not necessarily short term, and so could inform a more personalized risk discussion.”
The study findings validate the utility of CAC for guiding statin therapy, Dr. Stone said. “For those who have felt that a calcium score is not useful,” he said, “this is additional evidence to show that, in the context of making a decision in those at intermediate risk as proposed by the guidelines, a calcium score is indeed very useful.”
Dr. Stone added: “An important clinical point not mentioned by the authors is that, when the patient has a CAC score of 0 and risk factors, this may be exactly the time to be aggressive with lifestyle to prevent them from developing a positive CAC score and atherosclerosis, because once atherosclerosis is present, treatment may not restore the risk back to the original lower state.”
Dr. Patel, Dr. Al Rifai, and Dr. Stone have no relevant relationships to disclose. A number of study coauthors disclosed multiple financial relationships.
In patients with intermediate risk of atherosclerotic cardiovascular disease along with risk-enhancing factors, coronary artery calcium scoring may help more precisely calculate their need for statin therapy.
Furthermore, when the need for statin treatment isn’t so clear and patients need additional risk assessment, the scoring can provide further information to personalize clinical decision making, according to a cross-sectional study of 1,688 participants in the Multi-Ethnic Study of Atherosclerosis (MESA) published in JAMA Cardiology.
And regardless of coronary artery calcium (CAC), a low ankle brachial index (ABI) score is a marker for statin therapy, the study found.
The study looked at CAC scoring in the context of ABI and other risk-enhancing factors identified in the 2018 American Heart Association/American College of Cardiology cholesterol management guidelines: a family history of premature atherosclerotic cardiovascular disease (ASCVD), lipid and inflammatory biomarkers, chronic kidney disease, chronic inflammatory conditions, premature menopause or preeclampsia, and South Asian ancestry.
Any number of these factors can indicate the need for statins in people with borderline or intermediate risk. The guidelines also call for selective use of CAC to aid the decision-making process for statin therapy when the risk for developing atherosclerosis isn’t so clear.
“The novel risk-enhancing factors are not perfect,” said lead author Jaideep Patel, MD, director of preventive cardiology at Johns Hopkins Heart Center at Greater Baltimore Medical Center. He noted that the 2018 dyslipidemia guidelines suggested the risk for cardiovascular events rises when new risk-enhancing factors emerge, and that it was difficult to predict the extent to which each enhancer could change the 10-year risk.
Utility of CAC
“In this setting, the most significant finding that supports the utility of CAC scoring is when CAC is absent – a CAC of 0 – even in the setting of any of these enhancers, whether it be single or multiple, the 10-year risk remains extremely low – at the very least below the accepted threshold to initiate statin therapy,” Dr. Patel said.
That threshold is below the 7.5% 10-year ASCVD incidence rate. Over the 12-year mean study follow-up, the ASCVD incidence rate among patients with a CAC score of 0 for all risk-enhancing factors was 7.5 events per 1,000 person years, with one exception: ABI had an incidence rate of 10.4 events per 1,000 person years. “A low ABI score should trigger statin initiation irrespective of CAC score,” Dr. Patel said.
The study found a CAC score of 0 in 45.7% of those with one or two risk-enhancing factors versus 40.3% in those with three or more. “Across all the risk enhancers (except low ABI), the prevalence of CAC of 0 was greater than 50% in women; that is, enhancers overestimate risk,” Dr. Patel said. “The prevalence of CAC of 0 was approximately 40% across all risk enhancers; that is, enhancers overestimate risk.”
Dr. Patel said previous studies have suggested the risk of a major cardiovascular event was almost identical for statin and nonstatin users with a CAC score of 0. “If there is uncertainty about statin use after the physician-patient risk discussion,” he said, “CAC scoring may be helpful to guide the use of statin therapy.”
Senior author Mahmoud Al Rifai, MD, MPH, added: “For example, if CAC was absent, a statin could be deprescribed if there’s disutility on the part of the patient, with ongoing lifestyle and risk factor modification efforts.” Dr. Al Rifai is a cardiology fellow at Baylor College of Medicine, Houston.
Dr. Patel said: “Alternatively, if CAC was present, then it would be prudent to continue statin therapy.”
While South Asian ethnicity is a risk enhancing factor, the investigators acknowledged that MESA didn’t recruit this population group.
Study confirms guidelines
The study “supports the contention of the [AHA/ACC] guidelines that, in people who are in this intermediate risk range, there may be factors that either favor statin treatment or suggest that statin treatment could be deferred,” said Neil J. Stone, MD, of Northwestern University, Chicago, and author of the 2013 ASCVD risk calculator. “The guidelines pointed out that risk-enhancing factors may be associated with an increase in lifetime risk, not necessarily short term, and so could inform a more personalized risk discussion.”
The study findings validate the utility of CAC for guiding statin therapy, Dr. Stone said. “For those who have felt that a calcium score is not useful,” he said, “this is additional evidence to show that, in the context of making a decision in those at intermediate risk as proposed by the guidelines, a calcium score is indeed very useful.”
Dr. Stone added: “An important clinical point not mentioned by the authors is that, when the patient has a CAC score of 0 and risk factors, this may be exactly the time to be aggressive with lifestyle to prevent them from developing a positive CAC score and atherosclerosis, because once atherosclerosis is present, treatment may not restore the risk back to the original lower state.”
Dr. Patel, Dr. Al Rifai, and Dr. Stone have no relevant relationships to disclose. A number of study coauthors disclosed multiple financial relationships.
In patients with intermediate risk of atherosclerotic cardiovascular disease along with risk-enhancing factors, coronary artery calcium scoring may help more precisely calculate their need for statin therapy.
Furthermore, when the need for statin treatment isn’t so clear and patients need additional risk assessment, the scoring can provide further information to personalize clinical decision making, according to a cross-sectional study of 1,688 participants in the Multi-Ethnic Study of Atherosclerosis (MESA) published in JAMA Cardiology.
And regardless of coronary artery calcium (CAC), a low ankle brachial index (ABI) score is a marker for statin therapy, the study found.
The study looked at CAC scoring in the context of ABI and other risk-enhancing factors identified in the 2018 American Heart Association/American College of Cardiology cholesterol management guidelines: a family history of premature atherosclerotic cardiovascular disease (ASCVD), lipid and inflammatory biomarkers, chronic kidney disease, chronic inflammatory conditions, premature menopause or preeclampsia, and South Asian ancestry.
Any number of these factors can indicate the need for statins in people with borderline or intermediate risk. The guidelines also call for selective use of CAC to aid the decision-making process for statin therapy when the risk for developing atherosclerosis isn’t so clear.
“The novel risk-enhancing factors are not perfect,” said lead author Jaideep Patel, MD, director of preventive cardiology at Johns Hopkins Heart Center at Greater Baltimore Medical Center. He noted that the 2018 dyslipidemia guidelines suggested the risk for cardiovascular events rises when new risk-enhancing factors emerge, and that it was difficult to predict the extent to which each enhancer could change the 10-year risk.
Utility of CAC
“In this setting, the most significant finding that supports the utility of CAC scoring is when CAC is absent – a CAC of 0 – even in the setting of any of these enhancers, whether it be single or multiple, the 10-year risk remains extremely low – at the very least below the accepted threshold to initiate statin therapy,” Dr. Patel said.
That threshold is below the 7.5% 10-year ASCVD incidence rate. Over the 12-year mean study follow-up, the ASCVD incidence rate among patients with a CAC score of 0 for all risk-enhancing factors was 7.5 events per 1,000 person years, with one exception: ABI had an incidence rate of 10.4 events per 1,000 person years. “A low ABI score should trigger statin initiation irrespective of CAC score,” Dr. Patel said.
The study found a CAC score of 0 in 45.7% of those with one or two risk-enhancing factors versus 40.3% in those with three or more. “Across all the risk enhancers (except low ABI), the prevalence of CAC of 0 was greater than 50% in women; that is, enhancers overestimate risk,” Dr. Patel said. “The prevalence of CAC of 0 was approximately 40% across all risk enhancers; that is, enhancers overestimate risk.”
Dr. Patel said previous studies have suggested the risk of a major cardiovascular event was almost identical for statin and nonstatin users with a CAC score of 0. “If there is uncertainty about statin use after the physician-patient risk discussion,” he said, “CAC scoring may be helpful to guide the use of statin therapy.”
Senior author Mahmoud Al Rifai, MD, MPH, added: “For example, if CAC was absent, a statin could be deprescribed if there’s disutility on the part of the patient, with ongoing lifestyle and risk factor modification efforts.” Dr. Al Rifai is a cardiology fellow at Baylor College of Medicine, Houston.
Dr. Patel said: “Alternatively, if CAC was present, then it would be prudent to continue statin therapy.”
While South Asian ethnicity is a risk enhancing factor, the investigators acknowledged that MESA didn’t recruit this population group.
Study confirms guidelines
The study “supports the contention of the [AHA/ACC] guidelines that, in people who are in this intermediate risk range, there may be factors that either favor statin treatment or suggest that statin treatment could be deferred,” said Neil J. Stone, MD, of Northwestern University, Chicago, and author of the 2013 ASCVD risk calculator. “The guidelines pointed out that risk-enhancing factors may be associated with an increase in lifetime risk, not necessarily short term, and so could inform a more personalized risk discussion.”
The study findings validate the utility of CAC for guiding statin therapy, Dr. Stone said. “For those who have felt that a calcium score is not useful,” he said, “this is additional evidence to show that, in the context of making a decision in those at intermediate risk as proposed by the guidelines, a calcium score is indeed very useful.”
Dr. Stone added: “An important clinical point not mentioned by the authors is that, when the patient has a CAC score of 0 and risk factors, this may be exactly the time to be aggressive with lifestyle to prevent them from developing a positive CAC score and atherosclerosis, because once atherosclerosis is present, treatment may not restore the risk back to the original lower state.”
Dr. Patel, Dr. Al Rifai, and Dr. Stone have no relevant relationships to disclose. A number of study coauthors disclosed multiple financial relationships.
FROM JAMA CARDIOLOGY
A Longitudinal Analysis of Functional Disability, Recovery, and Nursing Home Utilization After Hospitalization for Ambulatory Care Sensitive Conditions Among Community-Living Older Persons
Acute illnesses requiring hospitalization serve as a sentinel event, with many older adults requiring assistance with activities of daily living (ADLs) upon discharge.1-3 Older adults who are frail experience even higher rates of hospital-associated disability, and rates of recovery to baseline functional status have varied.4,5 Loss of independence in ADLs has been associated with nursing home (NH) utilization, caregiver burden, and mortality.6
To date, studies have characterized functional trajectories before and after hospitalization in older persons for broad medical conditions, noting persistence of disability and incomplete recovery to baseline functional status.7 Prior evaluations have also noted the long-term disabling impact of critical conditions such as acute myocardial infarction, stroke, and sepsis,8,9 but a knowledge gap exists regarding the subsequent functional disability, recovery, and incident NH admission among older persons who are hospitalized for ambulatory care sensitive conditions (ACSCs). Often considered potentially preventable with optimal ambulatory care,10,11 ACSCs represent acute, chronic, and vaccine-preventable conditions, including urinary tract infection, congestive heart failure, diabetes mellitus, and pneumonia. Investigating the aforementioned patient-centered measures post hospitalization could provide valuable supporting evidence for the continued recognition of ACSC-related hospitalizations in national quality payment programs set forth by the Centers for Medicare & Medicaid Services (CMS).12 Demonstrating adverse outcomes after ACSC-related hospitalizations may help support interventions that target potentially preventable ACSC-related hospitalizations, such as home-based care or telehealth, with the goal of improving functional outcomes and reducing NH admission in older persons.
To address these gaps, we evaluated ACSC-related hospitalizations among participants of the Precipitating Events Project (PEP), a 19-year longitudinal study of community-living persons who were initially nondisabled in their basic functional activities. In the 6 months following an ACSC-related hospitalization, our objectives were to describe: (1) the 6-month course of postdischarge functional disability, (2) the cumulative monthly probability of functional recovery, and (3) the cumulative monthly probability of incident NH admission.
METHODS
Study Population
Participants were drawn from the PEP study, an ongoing, prospective, longitudinal study of 754 community-dwelling persons aged 70 years or older.13 Potential participants were members of a large health plan in greater New Haven, Connecticut, and were enrolled from March 1998 through October 1999. As previously described,14 persons were oversampled if they were physically frail, as denoted by a timed score >10 seconds on the rapid gait test. Exclusion criteria included significant cognitive impairment with no available proxy, life expectancy less than 12 months, plans to leave the area, and inability to speak English. Participants were initially required to be nondisabled in four basic activities of daily living (bathing, dressing, walking across a room, and transferring from a chair). Eligibility was determined during a screening telephone interview and was confirmed during an in-home assessment. Of the eligible members, 75.2% agreed to participate in the project, and persons who declined to participate did not significantly differ in age or sex from those who were enrolled. The Yale Human Investigation Committee approved the study protocol, and all participants provided verbal informed consent.
Data Collection
From 1998 to 2017, comprehensive home-based assessments were completed by trained research nurses at baseline and at 18-month intervals over 234 months (except at 126 months), and telephone interviews were completed monthly through June 2018, to obtain information on disability over time. For participants who had significant cognitive impairment or who were unavailable, we interviewed a proxy informant using a rigorous protocol with demonstrated reliability and validity.14 All incident NH admissions, including both short- and long-term stays, were identified using the CMS Skilled Nursing Facility claims file and Long Term Care Minimum Data Set. Deaths were ascertained by review of obituaries and/or from a proxy informant, with a completion rate of 100%. A total of 688 participants (91.2%) had died after a median follow-up of 108 months, while 43 participants (5.7%) dropped out of the study after a median follow-up of 27 months. Among all participants, data were otherwise available for 99.2% of 85,531 monthly telephone interviews.
Assembly of Analytic Sample
PEP participants were considered for inclusion in the analytic sample if they had a hospitalization with an ACSC as the primary diagnosis on linked Medicare claims data. The complete list of ACSCs was defined using specifications from the Agency for Healthcare Research and Quality,15 and was assembled using the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) classification prior to October 1, 2015, and ICD Tenth Revision, Clinical Modification (ICD-10-CM) classification after October 1, 2015 (Appendix Table 1). Examples of ACSCs include congestive heart failure, dehydration, urinary tract infection, and angina without procedure. As performed previously,16,17 two ACSCs (low birthweight; asthma in younger adults 18-39 years) were not included in this analysis because they were not based on full adult populations.
ACSC-related hospitalizations were included through December 2017. Participants could contribute more than one ACSC-related hospitalization over the course of the study based on the following criteria: (1) participant did not have a prior non-ACSC-related hospitalization within an 18-month interval; (2) participant did not have a prior ACSC-related hospitalization or treat-and-release emergency department (ED) visit within an 18-month interval (to ensure independence of observations if the participant was still recovering from the prior event and because some of the characteristics within Table 1 are susceptible to change in the setting of an intervening event and, hence, would not accurately reflect the status of the participant prior to ACSC-related hospitalization); (3) participant was not admitted from a NH; (4) participant did not have an in-hospital intensive care unit (ICU) stay (because persons with critical illness are a distinct population with frequent disability and prolonged recovery, as previously described18), in-hospital death, or death before first follow-up interview (because our aim was to evaluate disability and recovery after the hospitalization7).
Assembly of the primary analytic sample is depicted in the Appendix Figure. Of the 814 patients who were identified with ACSC-related hospitalizations, 107 had a prior non-ACSC-related hospitalization and 275 had a prior ACSC-related hospitalization or a treat-and-release ED visit within an 18-month interval. Of the remaining 432 ACSC-related hospitalizations, 181 were excluded: 114 patients were admitted from a NH, 38 had an in-hospital ICU stay, 3 died in the hospital, 11 died before their first follow-up interview, and 15 had withdrawn from the study. The primary analytic sample included the remaining 251 ACSC-related hospitalizations, contributed by 196 participants. Specifically, nine participants contributed three ACSC-related hospitalizations each, 37 participants contributed two hospitalizations each, and the remaining 150 participants contributed one hospitalization each. During the 6-month follow-up period, 40 participants contributing ACSC-related hospitalizations died after a median (interquartile range [IQR]) of 4 (2-5) months, and 1 person refused continued participation.
Comprehensive Assessments
During the comprehensive in-home assessments, data were obtained on demographic characteristics. Age was measured in years at the time of the ACSC-related hospitalization. In addition, we describe factors from the comprehensive assessment immediately prior to the ACSC-related hospitalization, grouped into two additional domains related to disability19: health-related and cognitive-psychosocial. The health-related factors included nine self-reported, physician-diagnosed chronic conditions and frailty. The cognitive-psychosocial factors included social support, cognitive impairment, and depressive symptoms.
Assessment of Disability
Complete details about the assessment of disability have been previously described.13,14,19,20 Briefly, disability was assessed during the monthly telephone interviews, and included four basic activities (bathing, dressing, walking across a room, and transferring from a chair), five instrumental activities (shopping, housework, meal preparation, taking medications, and managing finances), and three mobility activities (walking a quarter mile, climbing a flight of stairs, and lifting or carrying 10 lb). Participants were asked, “At the present time, do you need help from another person to [complete the task]?” Disability was operationalized as the need for personal assistance or an inability to perform the task. Participants were also asked about a fourth mobility activity, “Have you driven a car during the past month?” Those who responded no were classified as being disabled in driving.19
The number of disabilities overall and for each functional domain (basic, instrumental, and mobility) was summed. Possible disability scores ranged from 0 to 13, with a score of 0 indicating complete independence in all of the items, and a score of 13 indicating complete dependence. Worse postdischarge disability was defined as a total disability score (0-13) at the first telephone interview after an ACSC-related hospitalization that was greater than the total disability score from the telephone interview immediately preceding hospitalization.
Outcome Measures
The primary outcome was the number of disabilities in all 13 basic, instrumental, and mobility activities in each of the 6 months following discharge from an ACSC-related hospitalization. To determine whether our findings were consistent across the three functional domains, we also evaluated the number of disabilities in the four basic, five instrumental, and four mobility activities separately. As secondary outcomes, we evaluated: (1) the cumulative probability of recovery within the 6-month follow-up time frame after an ACSC-related hospitalization, with “recovery” defined as return to the participant’s pre-ACSC-related hospitalization total disability score, and (2) the cumulative probability of incident NH admission within the 6 months after an ACSC-related hospitalization. Aligned with CMS and prior literature,21,22 we defined a short-term NH stay as ≤100 days and a long-term NH stay as >100 days.
Statistical Analysis
Pre-ACSC-related hospitalization characteristics were summarized by means (SDs) and frequencies with proportions. We determined the mean number of disabilities in each of the 6 months following hospital discharge, with the prehospitalization value included as a reference point. We also determined the mean (SD) number of disabilities for the three subscales of disability (basic activities of daily living [BADLs], instrumental activities of daily living [IADLs], and mobility activities). We calculated the cumulative probability of recovery within 6 months of hospital discharge. Finally, we determined the cumulative probability of incident NH admission during the 6 months after hospital discharge.
To test the robustness of our main results, we conducted a sensitivity analysis assessing disability scores of the 150 participants that contributed only one ACSC-related hospitalization. All analyses were performed using Stata, version 16.0, statistical software (StataCorp).
RESULTS
Table 1 shows the characteristics of the 251 ACSC-related hospitalizations immediately prior to hospitalization. Participants’ mean (SD) age was 85.1 (6.0) years, and the mean total disability score was 5.4. The majority were female, non-Hispanic White, frail, and lived alone. As shown in Appendix Table 2, the three most common reasons for ACSC-related hospitalizations were congestive heart failure (n = 69), bacterial pneumonia (n = 53), and dehydration (n = 44).
The Figure shows the disability scores during the 6-month follow-up period for total, basic, instrumental, and mobility activities, in panels A, B, C, and D, respectively. The exact values are provided in Appendix Table 3. After hospitalization, disability scores for total, basic, instrumental, and mobility activities peaked at month 1 and tended to improve modestly over the next 5 months, but remained greater, on average, than pre-hospitalization scores. Of the 40 participants who died within the 6-month follow-up period, 36 (90%) had worse disability scores in their last month of life than in the month prior to their ACSC-related hospitalization.
Table 2 shows the cumulative probability of functional recovery after ACSC-related hospitalizations. Recovery was incomplete, with only 70% (95% CI, 64%-76%) of hospitalizations achieving a return to the pre-hospitalization total disability score within 6 months of hospitalization.
Table 3 shows the cumulative probability of incident NH admission after an ACSC-related hospitalization. Of the 251 ACSC-related hospitalizations, incident NH admission was experienced by 38% (95% CI, 32%-44%) within 1 month and 50% (95% CI, 43%-56%) within 6 months of discharge. Short-term NH stays accounted for 90 (75.6%) of the 119 incident NH admissions within the 6 months after ACSC-related hospitalizations. Sensitivity analyses yielded comparable disability scores, shown in Appendix Table 4.
DISCUSSION
In this longitudinal study of community-living older persons, we evaluated functional disability, recovery, and incident NH admission within 6 months of hospitalization for an ACSC. Our study has three major findings. First, disability scores for total, basic, instrumental, and mobility activities at months 1 to 6 of follow-up were greater on average than pre-hospitalization scores. Second, functional recovery was not achieved by 3 of 10 participants after an ACSC-related hospitalization. Third, half of them experienced an incident NH admission within 6 months of discharge from an ACSC-related hospitalization, although about three-quarters of these were short-term stays. Our findings provide evidence that older persons experience clinically meaningful adverse patient-reported outcomes after ACSC-related hospitalizations.
Prior research involving ACSCs has focused largely on rates of hospitalization as a measure of access to primary care and the associated factors predictive of ACSC-related hospitalizations,23-26 and has not addressed subsequent patient-reported outcomes. The findings in this analysis highlight that older persons experience worsening disability immediately after an ACSC-related hospitalization, which persists for prolonged periods and often results in incomplete recovery. Prior research has assessed pre-hospitalization functional status through retrospective recall approaches,2 included only older adults discharged with incident disability,3 and examined functional status after all-cause medical illness hospitalizations.5 Our prospective analysis extends the literature by reliably capturing pre-hospital disability scores and uniquely assessing the cohort of older persons hospitalized with ACSCs.
Our work is relevant to the continued evaluation of ACSC-related hospitalizations in national quality measurement and payment initiatives among Medicare beneficiaries. In prior evaluations of ACSC-related quality measures, stakeholders have criticized the measures for limited validity due to a lack of evidence linking each utilization outcome to other patient-centered outcomes.10,27 Our work addresses this gap by demonstrating that ACSC-related hospitalizations are linked to persistent disability, incomplete functional recovery, and incident NH admissions. Given the large body of evidence demonstrating the priority older persons place on these patient-reported outcomes,28,29 our work should reassure policymakers seeking to transform quality measurement programs into a more patient-oriented enterprise.
Our findings have several clinical practice, research, and policy implications. First, more-effective clinical strategies to minimize the level of care required for acute exacerbations of ACSC-related illnesses may include: (1) substituting home-based care30 and telehealth interventions31 for traditional inpatient hospitalization, (2) making in-ED resources (ie, case management services, geriatric-focused advanced practice providers) more accessible for older persons with ACSC-related illnesses, thereby enhancing care transitions and follow-up to avoid potential current and subsequent hospitalizations, and (3) ensuring adequate ambulatory care access to all older persons, as prior work has shown variation in ACSC hospital admission rates dependent on population factors such as high-poverty neighborhoods,16 insurance status,16,32 and race/ethnicity.33
Clinical strategies have been narrow and not holistic for ACSCs; for example, many institutions have focused on pneumonia vaccinations to reduce hospitalizations, but our work supports the need to further evaluate the impact of preventing ACSC-related hospitalizations and their associated disabling consequences. For patients admitted to the hospital, clinical strategies, such as in-hospital or post-hospital mobility and activity programs, have been shown to be protective against hospital-associated disability.34,35 Furthermore, hospital discharge planning could include preparing older persons for anticipated functional disabilities, associated recoveries, and NH admission after ACSC-related hospitalizations. Risk factors contributing to post-hospitalization functional disability and recovery have been identified,19,20,36 but future work is needed to: (1) identify target populations (including those most likely to worsen) so that interventions can be offered earlier in the course of care to those who would benefit most, and (2) identify and learn from those who are resilient and have recovered, to better understand factors contributing to their success.
Our study has several strengths. First, the study is unique due to its longitudinal design, with monthly assessments of functional status. Since functional status was assessed prospectively before the ACSC-related hospitalization, we also have avoided any potential concern for recall bias that may be present if assessed after the hospitalization. Additionally, through the use of Medicare claims and the Minimum Data Set, the ascertainment of hospitalizations and NH admissions was likely complete for the studied population.
However, the study has limitations. First, functional measures were based on self-reports rather than objective measurements. Nevertheless, the self-report function is often used to guide coverage determinations in the Medicare program, as it has been shown to be associated with poor health outcomes.37 Second, we are unable to comment on the rate of functional decline or NH admission when an older person was not hospitalized in relation to an ACSC. Future analyses may benefit from using a control group (eg, older adults without an ACSC hospitalization or older adults with a non-ACSC hospitalization). Third, we used strict exclusion criteria to identify a population of older adults without recent hospitalizations to determine the isolated impact of ACSC hospitalization on disability, incident NH admission, and functional recovery. Considering this potential selection bias, our findings are likely conservative estimates of the patient-centered outcomes evaluated. Fourth, participants were not asked about feeding and toileting. However, the incidence of disability in these ADLs is low among nondisabled, community-living older persons, and it is highly uncommon for disability to develop in these ADLs without concurrent disability in the ADLs within this analysis.14,38
Finally, because our study participants were members of a single health plan in a small urban area and included nondisabled older persons living in the community, our findings may not be generalizable to geriatric patients in other settings. Nonetheless, the demographics of our cohort reflect those of older persons in New Haven County, Connecticut, which are similar to the demographics of the US population, with the exception of race and ethnicity. In addition, the generalizability of our results are strengthened by the study’s high participation rate and minimal attrition.
CONCLUSION
Within 6 months of ACSC-related hospitalizations, community-living older persons exhibited greater total disability scores than those immediately preceding hospitalization. In the same time frame, 3 of 10 older persons did not achieve functional recovery, and half experienced incident NH admission. These results provide evidence regarding the continued recognition of ACSC-related hospitalizations in federal quality measurement and payment programs and suggests the need for preventive and comprehensive interventions to meaningfully improve longitudinal outcomes.
Acknowledgments
We thank Denise Shepard, BSN, MBA, Andrea Benjamin, BSN, Barbara Foster, and Amy Shelton, MPH, for assistance with data collection; Geraldine Hawthorne, BS, for assistance with data entry and management; Peter Charpentier, MPH, for design and development of the study database and participant tracking system; and Joanne McGloin, MDiv, MBA, for leadership and advice as the Project Director. Each of these persons were paid employees of Yale School of Medicine during the conduct of this study.
1. Covinsky KE, Pierluissi E, Johnston CB. Hospitalization-associated disability: “She was probably able to ambulate, but I’m not sure” JAMA. 2011;306(16):1782-1793. https://doi.org/10.1001/jama.2011.1556
2. Covinsky KE, Palmer RM, Fortinsky RH, et al. Loss of independence in activities of daily living in older adults hospitalized with medical illnesses: increased vulnerability with age. J Am Geriatr Soc. 2003;51(4):451-458. https://doi.org/10.1046/j.1532-5415.2003.51152.x
3. Barnes DE, Mehta KM, Boscardin WJ, et al. Prediction of recovery, dependence or death in elders who become disabled during hospitalization. J Gen Intern Med. 2013;28(2):261-268. https://doi.org/10.1007/s11606-012-2226-y
4. Gill TM, Allore HG, Gahbauer EA, Murphy TE. Change in disability after hospitalization or restricted activity in older persons. JAMA. 2010;304(17):1919-1928. https://doi.org/10.1001/jama.2010.1568
5. Boyd CM, Landefeld CS, Counsell SR, et al. Recovery of activities of daily living in older adults after hospitalization for acute medical illness. J Am Geriatr Soc. 2008;56(12):2171-2179. https://doi.org/10.1111/j.1532-5415.2008.02023.x
6. Loyd C, Markland AD, Zhang Y, et al. Prevalence of hospital-associated disability in older adults: a meta-analysis. J Am Med Dir Assoc. 2020;21(4):455-461. https://doi.org/10.1016/j.jamda.2019.09.015
7. Dharmarajan K, Han L, Gahbauer EA, Leo-Summers LS, Gill TM. Disability and recovery after hospitalization for medical illness among community-living older persons: a prospective cohort study. J Am Geriatr Soc. 2020;68(3):486-495. https://doi.org/10.1111/jgs.16350
8. Levine DA, Davydow DS, Hough CL, Langa KM, Rogers MAM, Iwashyna TJ. Functional disability and cognitive impairment after hospitalization for myocardial infarction and stroke. Circ Cardiovasc Qual Outcomes. 2014;7(6):863-871. https://doi.org/10.1161/HCQ.0000000000000008
9. Iwashyna TJ, Ely EW, Smith DM, Langa KM. Long-term cognitive impairment and functional disability among survivors of severe sepsis. JAMA. 2010;304(16):1787-1794. https://doi.org/10.1001/jama.2010.1553
10. Hodgson K, Deeny SR, Steventon A. Ambulatory care-sensitive conditions: their potential uses and limitations. BMJ Qual Saf. 2019;28(6):429-433. https://doi.org/10.1136/bmjqs-2018-008820
11. Agency for Healthcare Research and Quality (AHRQ). Quality Indicator User Guide: Prevention Quality Indicators (PQI) Composite Measures. Version 2020. Accessed November 10, 2020. https://www.qualityindicators.ahrq.gov/modules/pqi_resources.aspx.
12. Centers for Medicare & Medicaid Services. 2016 Measure information about the hospital admissions for acute and chronic ambulatory care-sensitive condition (ACSC) composite measures, calculated for the 2018 value-based payment modified program. Accessed November 24, 2020. https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/PhysicianFeedbackProgram/Downloads/2016-ACSC-MIF.pdf.
13. Gill TM, Desai MM, Gahbauer EA, Holford TR, Williams CS. Restricted activity among community-living older persons: incidence, precipitants, and health care utilization. Ann Intern Med. 2001;135(5):313-321. https://doi.org/10.7326/0003-4819-135-5-200109040-00007
14. Gill TM, Hardy SE, Williams CS. Underestimation of disability in community-living older persons. J Am Geriatr Soc. 2002;50(9):1492-1497. https://doi.org/10.1046/j.1532-5415.2002.50403.x
15. Agency for Healthcare Research and Quality. Prevention Quality Indicators Technical Specifications Updates—Version v2018 and 2018.0.1 (ICD 10-CM/PCS), June 2018. Accessed February 4, 2020. https://www.qualityindicators.ahrq.gov/Modules/PQI_TechSpec_ICD10_v2018.aspx.
16. Johnson PJ, Ghildayal N, Ward AC, Westgard BC, Boland LL, Hokanson JS. Disparities in potentially avoidable emergency department (ED) care: ED visits for ambulatory care sensitive conditions. Med Care. 2012;50(12):1020-1028. https://doi.org/10.1097/MLR.0b013e318270bad4
17. Galarraga JE, Mutter R, Pines JM. Costs associated with ambulatory care sensitive conditions across hospital-based settings. Acad Emerg Med. 2015;22(2):172-181. https://doi.org/10.1111/acem.12579
18. Ferrante LE, Pisani MA, Murphy TE, Gahbauer EA, Leo-Summers LS, Gill TM. Functional trajectories among older persons before and after critical illness. JAMA Intern Med. 2015;175(4):523-529. https://doi.org/10.1001/jamainternmed.2014.7889
19. Gill TM, Gahbauer EA, Murphy TE, Han L, Allore HG. Risk factors and precipitants of long-term disability in community mobility: a cohort study of older persons. Ann Intern Med. 2012;156(2):131-140. https://doi.org/10.7326/0003-4819-156-2-201201170-00009
20. Hardy SE, Gill TM. Factors associated with recovery of independence among newly disabled older persons. Arch Intern Med. 2005;165(1):106-112. https://doi.org/10.1001/archinte.165.1.106
21. Centers for Medicare & Medicaid Services. Nursing Home Quality Initiative—Quality Measures. Accessed June 13, 2021. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/NursingHomeQualityInits/NHQIQualityMeasures
22. Goodwin JS, Li S, Zhou J, Graham JE, Karmarkar A, Ottenbacher K. Comparison of methods to identify long term care nursing home residence with administrative data. BMC Health Serv Res. 2017;17(1):376. https://doi.org/10.1186/s12913-017-2318-9
23. Laditka, JN, Laditka SB, Probst JC. More may be better: evidence of a negative relationship between physician supply and hospitalization for ambulatory care sensitive conditions. Health Serv Res. 2005;40(4):1148-1166. https://doi.org/10.1111/j.1475-6773.2005.00403.x
24. Ansar Z, Laditka JN, Laditka SB. Access to health care and hospitalization for ambulatory care sensitive conditions. Med Care Res Rev. 2006;63(6):719-741. https://doi.org/10.1177/1077558706293637
25. Mackinko J, de Oliveira VB, Turci MA, Guanais FC, Bonolo PF, Lima-Costa MF. The influence of primary care and hospital supply on ambulatory care-sensitive hospitalizations among adults in Brazil, 1999-2007. Am J Public Health. 2011;101(10):1963-1970. https://doi.org/10.2105/AJPH.2010.198887
26. Gibson OR, Segal L, McDermott RA. A systematic review of evidence on the association between hospitalisation for chronic disease related ambulatory care sensitive conditions and primary health care resourcing. BMC Health Serv Res. 2013;13:336. https://doi.org/10.1186/1472-6963-13-336
27. Vuik SI, Fontana G, Mayer E, Darzi A. Do hospitalisations for ambulatory care sensitive conditions reflect low access to primary care? An observational cohort study of primary care usage prior to hospitalisation. BMJ Open. 2017;7(8):e015704. https://doi.org/10.1136/bmjopen-2016-015704
28. Fried TR, Tinetti M, Agostini J, Iannone L, Towle V. Health outcome prioritization to elicit preferences of older persons with multiple health conditions. Patient Educ Couns. 2011;83(2):278-282. https://doi.org/10.1016/j.pec.2010.04.032
29. Reuben DB, Tinetti ME. Goal-oriented patient care—an alternative health outcomes paradigm. N Engl J Med. 2012;366(9):777-779. https://doi.org/10.1056/NEJMp1113631
30. Federman AD, Soones T, DeCherrie LV, Leff B, Siu AL. Association of a bundled hospital-at-home and 30-day postacute transitional care program with clinical outcomes and patient experiences. JAMA Intern Med. 2018;178(8):1033-1040. https://doi.org/10.1001/jamainternmed.2018.2562
31. Shah MN, Wasserman EB, Gillespie SM, et al. High-intensity telemedicine decreases emergency department use for ambulatory care sensitive conditions by older adult senior living community residents. J Am Med Dir Assoc. 2015;16(12):1077-1081. https://doi.org/10.1016/j.jamda.2015.07.009
32. Oster A, Bindman AB. Emergency department visits for ambulatory care sensitive conditions: insights into preventable hospitalizations. Med Care. 2003;41(2):198-207. https://doi.org/10.1097/01.MLR.0000045021.70297.9F
33. O’Neil SS, Lake T, Merrill A, Wilson A, Mann DA, Bartnyska LM. Racial disparities in hospitalizations for ambulatory care-sensitive conditions. Am J Prev Med. 2010;38(4):381-388. https://doi.org/10.1016/j.amepre.2009.12.026
34. Pavon JM, Sloane RJ, Pieper RF, et al. Accelerometer-measured hospital physical activity and hospital-acquired disability in older adults. J Am Geriatr Soc. 2020;68:261-265. https://doi.org/10.1111/jgs.16231
35. Sunde S, Hesseberg K, Skelton DA, et al. Effects of a multicomponent high intensity exercise program on physical function and health-related quality of life in older adults with or at risk of mobility disability after discharge from hospital: a randomised controlled trial. BMC Geriatr. 2020;20(1):464. https://doi.org/10.1186/s12877-020-01829-9
36. Hardy SE, Gill TM. Recovery from disability among community-dwelling older persons. JAMA. 2004;291(13):1596-1602. https://doi.org/10.1001/jama.291.13.1596
37. Rotenberg J, Kinosian B, Boling P, Taler G, Independence at Home Learning Collaborative Writing Group. Home-based primary care: beyond extension of the independence at home demonstration. J Am Geriatr Soc. 2018;66(4):812-817. https://doi.org/10.1111/jgs.15314
38. Rodgers W, Miller B. A comparative analysis of ADL questions in surveys of older people. J Gerontol B Psychol Sci Soc Sci. 1997;52:21-36. https://doi.org/10.1093/geronb/52b.special_issue.21
Acute illnesses requiring hospitalization serve as a sentinel event, with many older adults requiring assistance with activities of daily living (ADLs) upon discharge.1-3 Older adults who are frail experience even higher rates of hospital-associated disability, and rates of recovery to baseline functional status have varied.4,5 Loss of independence in ADLs has been associated with nursing home (NH) utilization, caregiver burden, and mortality.6
To date, studies have characterized functional trajectories before and after hospitalization in older persons for broad medical conditions, noting persistence of disability and incomplete recovery to baseline functional status.7 Prior evaluations have also noted the long-term disabling impact of critical conditions such as acute myocardial infarction, stroke, and sepsis,8,9 but a knowledge gap exists regarding the subsequent functional disability, recovery, and incident NH admission among older persons who are hospitalized for ambulatory care sensitive conditions (ACSCs). Often considered potentially preventable with optimal ambulatory care,10,11 ACSCs represent acute, chronic, and vaccine-preventable conditions, including urinary tract infection, congestive heart failure, diabetes mellitus, and pneumonia. Investigating the aforementioned patient-centered measures post hospitalization could provide valuable supporting evidence for the continued recognition of ACSC-related hospitalizations in national quality payment programs set forth by the Centers for Medicare & Medicaid Services (CMS).12 Demonstrating adverse outcomes after ACSC-related hospitalizations may help support interventions that target potentially preventable ACSC-related hospitalizations, such as home-based care or telehealth, with the goal of improving functional outcomes and reducing NH admission in older persons.
To address these gaps, we evaluated ACSC-related hospitalizations among participants of the Precipitating Events Project (PEP), a 19-year longitudinal study of community-living persons who were initially nondisabled in their basic functional activities. In the 6 months following an ACSC-related hospitalization, our objectives were to describe: (1) the 6-month course of postdischarge functional disability, (2) the cumulative monthly probability of functional recovery, and (3) the cumulative monthly probability of incident NH admission.
METHODS
Study Population
Participants were drawn from the PEP study, an ongoing, prospective, longitudinal study of 754 community-dwelling persons aged 70 years or older.13 Potential participants were members of a large health plan in greater New Haven, Connecticut, and were enrolled from March 1998 through October 1999. As previously described,14 persons were oversampled if they were physically frail, as denoted by a timed score >10 seconds on the rapid gait test. Exclusion criteria included significant cognitive impairment with no available proxy, life expectancy less than 12 months, plans to leave the area, and inability to speak English. Participants were initially required to be nondisabled in four basic activities of daily living (bathing, dressing, walking across a room, and transferring from a chair). Eligibility was determined during a screening telephone interview and was confirmed during an in-home assessment. Of the eligible members, 75.2% agreed to participate in the project, and persons who declined to participate did not significantly differ in age or sex from those who were enrolled. The Yale Human Investigation Committee approved the study protocol, and all participants provided verbal informed consent.
Data Collection
From 1998 to 2017, comprehensive home-based assessments were completed by trained research nurses at baseline and at 18-month intervals over 234 months (except at 126 months), and telephone interviews were completed monthly through June 2018, to obtain information on disability over time. For participants who had significant cognitive impairment or who were unavailable, we interviewed a proxy informant using a rigorous protocol with demonstrated reliability and validity.14 All incident NH admissions, including both short- and long-term stays, were identified using the CMS Skilled Nursing Facility claims file and Long Term Care Minimum Data Set. Deaths were ascertained by review of obituaries and/or from a proxy informant, with a completion rate of 100%. A total of 688 participants (91.2%) had died after a median follow-up of 108 months, while 43 participants (5.7%) dropped out of the study after a median follow-up of 27 months. Among all participants, data were otherwise available for 99.2% of 85,531 monthly telephone interviews.
Assembly of Analytic Sample
PEP participants were considered for inclusion in the analytic sample if they had a hospitalization with an ACSC as the primary diagnosis on linked Medicare claims data. The complete list of ACSCs was defined using specifications from the Agency for Healthcare Research and Quality,15 and was assembled using the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) classification prior to October 1, 2015, and ICD Tenth Revision, Clinical Modification (ICD-10-CM) classification after October 1, 2015 (Appendix Table 1). Examples of ACSCs include congestive heart failure, dehydration, urinary tract infection, and angina without procedure. As performed previously,16,17 two ACSCs (low birthweight; asthma in younger adults 18-39 years) were not included in this analysis because they were not based on full adult populations.
ACSC-related hospitalizations were included through December 2017. Participants could contribute more than one ACSC-related hospitalization over the course of the study based on the following criteria: (1) participant did not have a prior non-ACSC-related hospitalization within an 18-month interval; (2) participant did not have a prior ACSC-related hospitalization or treat-and-release emergency department (ED) visit within an 18-month interval (to ensure independence of observations if the participant was still recovering from the prior event and because some of the characteristics within Table 1 are susceptible to change in the setting of an intervening event and, hence, would not accurately reflect the status of the participant prior to ACSC-related hospitalization); (3) participant was not admitted from a NH; (4) participant did not have an in-hospital intensive care unit (ICU) stay (because persons with critical illness are a distinct population with frequent disability and prolonged recovery, as previously described18), in-hospital death, or death before first follow-up interview (because our aim was to evaluate disability and recovery after the hospitalization7).
Assembly of the primary analytic sample is depicted in the Appendix Figure. Of the 814 patients who were identified with ACSC-related hospitalizations, 107 had a prior non-ACSC-related hospitalization and 275 had a prior ACSC-related hospitalization or a treat-and-release ED visit within an 18-month interval. Of the remaining 432 ACSC-related hospitalizations, 181 were excluded: 114 patients were admitted from a NH, 38 had an in-hospital ICU stay, 3 died in the hospital, 11 died before their first follow-up interview, and 15 had withdrawn from the study. The primary analytic sample included the remaining 251 ACSC-related hospitalizations, contributed by 196 participants. Specifically, nine participants contributed three ACSC-related hospitalizations each, 37 participants contributed two hospitalizations each, and the remaining 150 participants contributed one hospitalization each. During the 6-month follow-up period, 40 participants contributing ACSC-related hospitalizations died after a median (interquartile range [IQR]) of 4 (2-5) months, and 1 person refused continued participation.
Comprehensive Assessments
During the comprehensive in-home assessments, data were obtained on demographic characteristics. Age was measured in years at the time of the ACSC-related hospitalization. In addition, we describe factors from the comprehensive assessment immediately prior to the ACSC-related hospitalization, grouped into two additional domains related to disability19: health-related and cognitive-psychosocial. The health-related factors included nine self-reported, physician-diagnosed chronic conditions and frailty. The cognitive-psychosocial factors included social support, cognitive impairment, and depressive symptoms.
Assessment of Disability
Complete details about the assessment of disability have been previously described.13,14,19,20 Briefly, disability was assessed during the monthly telephone interviews, and included four basic activities (bathing, dressing, walking across a room, and transferring from a chair), five instrumental activities (shopping, housework, meal preparation, taking medications, and managing finances), and three mobility activities (walking a quarter mile, climbing a flight of stairs, and lifting or carrying 10 lb). Participants were asked, “At the present time, do you need help from another person to [complete the task]?” Disability was operationalized as the need for personal assistance or an inability to perform the task. Participants were also asked about a fourth mobility activity, “Have you driven a car during the past month?” Those who responded no were classified as being disabled in driving.19
The number of disabilities overall and for each functional domain (basic, instrumental, and mobility) was summed. Possible disability scores ranged from 0 to 13, with a score of 0 indicating complete independence in all of the items, and a score of 13 indicating complete dependence. Worse postdischarge disability was defined as a total disability score (0-13) at the first telephone interview after an ACSC-related hospitalization that was greater than the total disability score from the telephone interview immediately preceding hospitalization.
Outcome Measures
The primary outcome was the number of disabilities in all 13 basic, instrumental, and mobility activities in each of the 6 months following discharge from an ACSC-related hospitalization. To determine whether our findings were consistent across the three functional domains, we also evaluated the number of disabilities in the four basic, five instrumental, and four mobility activities separately. As secondary outcomes, we evaluated: (1) the cumulative probability of recovery within the 6-month follow-up time frame after an ACSC-related hospitalization, with “recovery” defined as return to the participant’s pre-ACSC-related hospitalization total disability score, and (2) the cumulative probability of incident NH admission within the 6 months after an ACSC-related hospitalization. Aligned with CMS and prior literature,21,22 we defined a short-term NH stay as ≤100 days and a long-term NH stay as >100 days.
Statistical Analysis
Pre-ACSC-related hospitalization characteristics were summarized by means (SDs) and frequencies with proportions. We determined the mean number of disabilities in each of the 6 months following hospital discharge, with the prehospitalization value included as a reference point. We also determined the mean (SD) number of disabilities for the three subscales of disability (basic activities of daily living [BADLs], instrumental activities of daily living [IADLs], and mobility activities). We calculated the cumulative probability of recovery within 6 months of hospital discharge. Finally, we determined the cumulative probability of incident NH admission during the 6 months after hospital discharge.
To test the robustness of our main results, we conducted a sensitivity analysis assessing disability scores of the 150 participants that contributed only one ACSC-related hospitalization. All analyses were performed using Stata, version 16.0, statistical software (StataCorp).
RESULTS
Table 1 shows the characteristics of the 251 ACSC-related hospitalizations immediately prior to hospitalization. Participants’ mean (SD) age was 85.1 (6.0) years, and the mean total disability score was 5.4. The majority were female, non-Hispanic White, frail, and lived alone. As shown in Appendix Table 2, the three most common reasons for ACSC-related hospitalizations were congestive heart failure (n = 69), bacterial pneumonia (n = 53), and dehydration (n = 44).
The Figure shows the disability scores during the 6-month follow-up period for total, basic, instrumental, and mobility activities, in panels A, B, C, and D, respectively. The exact values are provided in Appendix Table 3. After hospitalization, disability scores for total, basic, instrumental, and mobility activities peaked at month 1 and tended to improve modestly over the next 5 months, but remained greater, on average, than pre-hospitalization scores. Of the 40 participants who died within the 6-month follow-up period, 36 (90%) had worse disability scores in their last month of life than in the month prior to their ACSC-related hospitalization.
Table 2 shows the cumulative probability of functional recovery after ACSC-related hospitalizations. Recovery was incomplete, with only 70% (95% CI, 64%-76%) of hospitalizations achieving a return to the pre-hospitalization total disability score within 6 months of hospitalization.
Table 3 shows the cumulative probability of incident NH admission after an ACSC-related hospitalization. Of the 251 ACSC-related hospitalizations, incident NH admission was experienced by 38% (95% CI, 32%-44%) within 1 month and 50% (95% CI, 43%-56%) within 6 months of discharge. Short-term NH stays accounted for 90 (75.6%) of the 119 incident NH admissions within the 6 months after ACSC-related hospitalizations. Sensitivity analyses yielded comparable disability scores, shown in Appendix Table 4.
DISCUSSION
In this longitudinal study of community-living older persons, we evaluated functional disability, recovery, and incident NH admission within 6 months of hospitalization for an ACSC. Our study has three major findings. First, disability scores for total, basic, instrumental, and mobility activities at months 1 to 6 of follow-up were greater on average than pre-hospitalization scores. Second, functional recovery was not achieved by 3 of 10 participants after an ACSC-related hospitalization. Third, half of them experienced an incident NH admission within 6 months of discharge from an ACSC-related hospitalization, although about three-quarters of these were short-term stays. Our findings provide evidence that older persons experience clinically meaningful adverse patient-reported outcomes after ACSC-related hospitalizations.
Prior research involving ACSCs has focused largely on rates of hospitalization as a measure of access to primary care and the associated factors predictive of ACSC-related hospitalizations,23-26 and has not addressed subsequent patient-reported outcomes. The findings in this analysis highlight that older persons experience worsening disability immediately after an ACSC-related hospitalization, which persists for prolonged periods and often results in incomplete recovery. Prior research has assessed pre-hospitalization functional status through retrospective recall approaches,2 included only older adults discharged with incident disability,3 and examined functional status after all-cause medical illness hospitalizations.5 Our prospective analysis extends the literature by reliably capturing pre-hospital disability scores and uniquely assessing the cohort of older persons hospitalized with ACSCs.
Our work is relevant to the continued evaluation of ACSC-related hospitalizations in national quality measurement and payment initiatives among Medicare beneficiaries. In prior evaluations of ACSC-related quality measures, stakeholders have criticized the measures for limited validity due to a lack of evidence linking each utilization outcome to other patient-centered outcomes.10,27 Our work addresses this gap by demonstrating that ACSC-related hospitalizations are linked to persistent disability, incomplete functional recovery, and incident NH admissions. Given the large body of evidence demonstrating the priority older persons place on these patient-reported outcomes,28,29 our work should reassure policymakers seeking to transform quality measurement programs into a more patient-oriented enterprise.
Our findings have several clinical practice, research, and policy implications. First, more-effective clinical strategies to minimize the level of care required for acute exacerbations of ACSC-related illnesses may include: (1) substituting home-based care30 and telehealth interventions31 for traditional inpatient hospitalization, (2) making in-ED resources (ie, case management services, geriatric-focused advanced practice providers) more accessible for older persons with ACSC-related illnesses, thereby enhancing care transitions and follow-up to avoid potential current and subsequent hospitalizations, and (3) ensuring adequate ambulatory care access to all older persons, as prior work has shown variation in ACSC hospital admission rates dependent on population factors such as high-poverty neighborhoods,16 insurance status,16,32 and race/ethnicity.33
Clinical strategies have been narrow and not holistic for ACSCs; for example, many institutions have focused on pneumonia vaccinations to reduce hospitalizations, but our work supports the need to further evaluate the impact of preventing ACSC-related hospitalizations and their associated disabling consequences. For patients admitted to the hospital, clinical strategies, such as in-hospital or post-hospital mobility and activity programs, have been shown to be protective against hospital-associated disability.34,35 Furthermore, hospital discharge planning could include preparing older persons for anticipated functional disabilities, associated recoveries, and NH admission after ACSC-related hospitalizations. Risk factors contributing to post-hospitalization functional disability and recovery have been identified,19,20,36 but future work is needed to: (1) identify target populations (including those most likely to worsen) so that interventions can be offered earlier in the course of care to those who would benefit most, and (2) identify and learn from those who are resilient and have recovered, to better understand factors contributing to their success.
Our study has several strengths. First, the study is unique due to its longitudinal design, with monthly assessments of functional status. Since functional status was assessed prospectively before the ACSC-related hospitalization, we also have avoided any potential concern for recall bias that may be present if assessed after the hospitalization. Additionally, through the use of Medicare claims and the Minimum Data Set, the ascertainment of hospitalizations and NH admissions was likely complete for the studied population.
However, the study has limitations. First, functional measures were based on self-reports rather than objective measurements. Nevertheless, the self-report function is often used to guide coverage determinations in the Medicare program, as it has been shown to be associated with poor health outcomes.37 Second, we are unable to comment on the rate of functional decline or NH admission when an older person was not hospitalized in relation to an ACSC. Future analyses may benefit from using a control group (eg, older adults without an ACSC hospitalization or older adults with a non-ACSC hospitalization). Third, we used strict exclusion criteria to identify a population of older adults without recent hospitalizations to determine the isolated impact of ACSC hospitalization on disability, incident NH admission, and functional recovery. Considering this potential selection bias, our findings are likely conservative estimates of the patient-centered outcomes evaluated. Fourth, participants were not asked about feeding and toileting. However, the incidence of disability in these ADLs is low among nondisabled, community-living older persons, and it is highly uncommon for disability to develop in these ADLs without concurrent disability in the ADLs within this analysis.14,38
Finally, because our study participants were members of a single health plan in a small urban area and included nondisabled older persons living in the community, our findings may not be generalizable to geriatric patients in other settings. Nonetheless, the demographics of our cohort reflect those of older persons in New Haven County, Connecticut, which are similar to the demographics of the US population, with the exception of race and ethnicity. In addition, the generalizability of our results are strengthened by the study’s high participation rate and minimal attrition.
CONCLUSION
Within 6 months of ACSC-related hospitalizations, community-living older persons exhibited greater total disability scores than those immediately preceding hospitalization. In the same time frame, 3 of 10 older persons did not achieve functional recovery, and half experienced incident NH admission. These results provide evidence regarding the continued recognition of ACSC-related hospitalizations in federal quality measurement and payment programs and suggests the need for preventive and comprehensive interventions to meaningfully improve longitudinal outcomes.
Acknowledgments
We thank Denise Shepard, BSN, MBA, Andrea Benjamin, BSN, Barbara Foster, and Amy Shelton, MPH, for assistance with data collection; Geraldine Hawthorne, BS, for assistance with data entry and management; Peter Charpentier, MPH, for design and development of the study database and participant tracking system; and Joanne McGloin, MDiv, MBA, for leadership and advice as the Project Director. Each of these persons were paid employees of Yale School of Medicine during the conduct of this study.
Acute illnesses requiring hospitalization serve as a sentinel event, with many older adults requiring assistance with activities of daily living (ADLs) upon discharge.1-3 Older adults who are frail experience even higher rates of hospital-associated disability, and rates of recovery to baseline functional status have varied.4,5 Loss of independence in ADLs has been associated with nursing home (NH) utilization, caregiver burden, and mortality.6
To date, studies have characterized functional trajectories before and after hospitalization in older persons for broad medical conditions, noting persistence of disability and incomplete recovery to baseline functional status.7 Prior evaluations have also noted the long-term disabling impact of critical conditions such as acute myocardial infarction, stroke, and sepsis,8,9 but a knowledge gap exists regarding the subsequent functional disability, recovery, and incident NH admission among older persons who are hospitalized for ambulatory care sensitive conditions (ACSCs). Often considered potentially preventable with optimal ambulatory care,10,11 ACSCs represent acute, chronic, and vaccine-preventable conditions, including urinary tract infection, congestive heart failure, diabetes mellitus, and pneumonia. Investigating the aforementioned patient-centered measures post hospitalization could provide valuable supporting evidence for the continued recognition of ACSC-related hospitalizations in national quality payment programs set forth by the Centers for Medicare & Medicaid Services (CMS).12 Demonstrating adverse outcomes after ACSC-related hospitalizations may help support interventions that target potentially preventable ACSC-related hospitalizations, such as home-based care or telehealth, with the goal of improving functional outcomes and reducing NH admission in older persons.
To address these gaps, we evaluated ACSC-related hospitalizations among participants of the Precipitating Events Project (PEP), a 19-year longitudinal study of community-living persons who were initially nondisabled in their basic functional activities. In the 6 months following an ACSC-related hospitalization, our objectives were to describe: (1) the 6-month course of postdischarge functional disability, (2) the cumulative monthly probability of functional recovery, and (3) the cumulative monthly probability of incident NH admission.
METHODS
Study Population
Participants were drawn from the PEP study, an ongoing, prospective, longitudinal study of 754 community-dwelling persons aged 70 years or older.13 Potential participants were members of a large health plan in greater New Haven, Connecticut, and were enrolled from March 1998 through October 1999. As previously described,14 persons were oversampled if they were physically frail, as denoted by a timed score >10 seconds on the rapid gait test. Exclusion criteria included significant cognitive impairment with no available proxy, life expectancy less than 12 months, plans to leave the area, and inability to speak English. Participants were initially required to be nondisabled in four basic activities of daily living (bathing, dressing, walking across a room, and transferring from a chair). Eligibility was determined during a screening telephone interview and was confirmed during an in-home assessment. Of the eligible members, 75.2% agreed to participate in the project, and persons who declined to participate did not significantly differ in age or sex from those who were enrolled. The Yale Human Investigation Committee approved the study protocol, and all participants provided verbal informed consent.
Data Collection
From 1998 to 2017, comprehensive home-based assessments were completed by trained research nurses at baseline and at 18-month intervals over 234 months (except at 126 months), and telephone interviews were completed monthly through June 2018, to obtain information on disability over time. For participants who had significant cognitive impairment or who were unavailable, we interviewed a proxy informant using a rigorous protocol with demonstrated reliability and validity.14 All incident NH admissions, including both short- and long-term stays, were identified using the CMS Skilled Nursing Facility claims file and Long Term Care Minimum Data Set. Deaths were ascertained by review of obituaries and/or from a proxy informant, with a completion rate of 100%. A total of 688 participants (91.2%) had died after a median follow-up of 108 months, while 43 participants (5.7%) dropped out of the study after a median follow-up of 27 months. Among all participants, data were otherwise available for 99.2% of 85,531 monthly telephone interviews.
Assembly of Analytic Sample
PEP participants were considered for inclusion in the analytic sample if they had a hospitalization with an ACSC as the primary diagnosis on linked Medicare claims data. The complete list of ACSCs was defined using specifications from the Agency for Healthcare Research and Quality,15 and was assembled using the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) classification prior to October 1, 2015, and ICD Tenth Revision, Clinical Modification (ICD-10-CM) classification after October 1, 2015 (Appendix Table 1). Examples of ACSCs include congestive heart failure, dehydration, urinary tract infection, and angina without procedure. As performed previously,16,17 two ACSCs (low birthweight; asthma in younger adults 18-39 years) were not included in this analysis because they were not based on full adult populations.
ACSC-related hospitalizations were included through December 2017. Participants could contribute more than one ACSC-related hospitalization over the course of the study based on the following criteria: (1) participant did not have a prior non-ACSC-related hospitalization within an 18-month interval; (2) participant did not have a prior ACSC-related hospitalization or treat-and-release emergency department (ED) visit within an 18-month interval (to ensure independence of observations if the participant was still recovering from the prior event and because some of the characteristics within Table 1 are susceptible to change in the setting of an intervening event and, hence, would not accurately reflect the status of the participant prior to ACSC-related hospitalization); (3) participant was not admitted from a NH; (4) participant did not have an in-hospital intensive care unit (ICU) stay (because persons with critical illness are a distinct population with frequent disability and prolonged recovery, as previously described18), in-hospital death, or death before first follow-up interview (because our aim was to evaluate disability and recovery after the hospitalization7).
Assembly of the primary analytic sample is depicted in the Appendix Figure. Of the 814 patients who were identified with ACSC-related hospitalizations, 107 had a prior non-ACSC-related hospitalization and 275 had a prior ACSC-related hospitalization or a treat-and-release ED visit within an 18-month interval. Of the remaining 432 ACSC-related hospitalizations, 181 were excluded: 114 patients were admitted from a NH, 38 had an in-hospital ICU stay, 3 died in the hospital, 11 died before their first follow-up interview, and 15 had withdrawn from the study. The primary analytic sample included the remaining 251 ACSC-related hospitalizations, contributed by 196 participants. Specifically, nine participants contributed three ACSC-related hospitalizations each, 37 participants contributed two hospitalizations each, and the remaining 150 participants contributed one hospitalization each. During the 6-month follow-up period, 40 participants contributing ACSC-related hospitalizations died after a median (interquartile range [IQR]) of 4 (2-5) months, and 1 person refused continued participation.
Comprehensive Assessments
During the comprehensive in-home assessments, data were obtained on demographic characteristics. Age was measured in years at the time of the ACSC-related hospitalization. In addition, we describe factors from the comprehensive assessment immediately prior to the ACSC-related hospitalization, grouped into two additional domains related to disability19: health-related and cognitive-psychosocial. The health-related factors included nine self-reported, physician-diagnosed chronic conditions and frailty. The cognitive-psychosocial factors included social support, cognitive impairment, and depressive symptoms.
Assessment of Disability
Complete details about the assessment of disability have been previously described.13,14,19,20 Briefly, disability was assessed during the monthly telephone interviews, and included four basic activities (bathing, dressing, walking across a room, and transferring from a chair), five instrumental activities (shopping, housework, meal preparation, taking medications, and managing finances), and three mobility activities (walking a quarter mile, climbing a flight of stairs, and lifting or carrying 10 lb). Participants were asked, “At the present time, do you need help from another person to [complete the task]?” Disability was operationalized as the need for personal assistance or an inability to perform the task. Participants were also asked about a fourth mobility activity, “Have you driven a car during the past month?” Those who responded no were classified as being disabled in driving.19
The number of disabilities overall and for each functional domain (basic, instrumental, and mobility) was summed. Possible disability scores ranged from 0 to 13, with a score of 0 indicating complete independence in all of the items, and a score of 13 indicating complete dependence. Worse postdischarge disability was defined as a total disability score (0-13) at the first telephone interview after an ACSC-related hospitalization that was greater than the total disability score from the telephone interview immediately preceding hospitalization.
Outcome Measures
The primary outcome was the number of disabilities in all 13 basic, instrumental, and mobility activities in each of the 6 months following discharge from an ACSC-related hospitalization. To determine whether our findings were consistent across the three functional domains, we also evaluated the number of disabilities in the four basic, five instrumental, and four mobility activities separately. As secondary outcomes, we evaluated: (1) the cumulative probability of recovery within the 6-month follow-up time frame after an ACSC-related hospitalization, with “recovery” defined as return to the participant’s pre-ACSC-related hospitalization total disability score, and (2) the cumulative probability of incident NH admission within the 6 months after an ACSC-related hospitalization. Aligned with CMS and prior literature,21,22 we defined a short-term NH stay as ≤100 days and a long-term NH stay as >100 days.
Statistical Analysis
Pre-ACSC-related hospitalization characteristics were summarized by means (SDs) and frequencies with proportions. We determined the mean number of disabilities in each of the 6 months following hospital discharge, with the prehospitalization value included as a reference point. We also determined the mean (SD) number of disabilities for the three subscales of disability (basic activities of daily living [BADLs], instrumental activities of daily living [IADLs], and mobility activities). We calculated the cumulative probability of recovery within 6 months of hospital discharge. Finally, we determined the cumulative probability of incident NH admission during the 6 months after hospital discharge.
To test the robustness of our main results, we conducted a sensitivity analysis assessing disability scores of the 150 participants that contributed only one ACSC-related hospitalization. All analyses were performed using Stata, version 16.0, statistical software (StataCorp).
RESULTS
Table 1 shows the characteristics of the 251 ACSC-related hospitalizations immediately prior to hospitalization. Participants’ mean (SD) age was 85.1 (6.0) years, and the mean total disability score was 5.4. The majority were female, non-Hispanic White, frail, and lived alone. As shown in Appendix Table 2, the three most common reasons for ACSC-related hospitalizations were congestive heart failure (n = 69), bacterial pneumonia (n = 53), and dehydration (n = 44).
The Figure shows the disability scores during the 6-month follow-up period for total, basic, instrumental, and mobility activities, in panels A, B, C, and D, respectively. The exact values are provided in Appendix Table 3. After hospitalization, disability scores for total, basic, instrumental, and mobility activities peaked at month 1 and tended to improve modestly over the next 5 months, but remained greater, on average, than pre-hospitalization scores. Of the 40 participants who died within the 6-month follow-up period, 36 (90%) had worse disability scores in their last month of life than in the month prior to their ACSC-related hospitalization.
Table 2 shows the cumulative probability of functional recovery after ACSC-related hospitalizations. Recovery was incomplete, with only 70% (95% CI, 64%-76%) of hospitalizations achieving a return to the pre-hospitalization total disability score within 6 months of hospitalization.
Table 3 shows the cumulative probability of incident NH admission after an ACSC-related hospitalization. Of the 251 ACSC-related hospitalizations, incident NH admission was experienced by 38% (95% CI, 32%-44%) within 1 month and 50% (95% CI, 43%-56%) within 6 months of discharge. Short-term NH stays accounted for 90 (75.6%) of the 119 incident NH admissions within the 6 months after ACSC-related hospitalizations. Sensitivity analyses yielded comparable disability scores, shown in Appendix Table 4.
DISCUSSION
In this longitudinal study of community-living older persons, we evaluated functional disability, recovery, and incident NH admission within 6 months of hospitalization for an ACSC. Our study has three major findings. First, disability scores for total, basic, instrumental, and mobility activities at months 1 to 6 of follow-up were greater on average than pre-hospitalization scores. Second, functional recovery was not achieved by 3 of 10 participants after an ACSC-related hospitalization. Third, half of them experienced an incident NH admission within 6 months of discharge from an ACSC-related hospitalization, although about three-quarters of these were short-term stays. Our findings provide evidence that older persons experience clinically meaningful adverse patient-reported outcomes after ACSC-related hospitalizations.
Prior research involving ACSCs has focused largely on rates of hospitalization as a measure of access to primary care and the associated factors predictive of ACSC-related hospitalizations,23-26 and has not addressed subsequent patient-reported outcomes. The findings in this analysis highlight that older persons experience worsening disability immediately after an ACSC-related hospitalization, which persists for prolonged periods and often results in incomplete recovery. Prior research has assessed pre-hospitalization functional status through retrospective recall approaches,2 included only older adults discharged with incident disability,3 and examined functional status after all-cause medical illness hospitalizations.5 Our prospective analysis extends the literature by reliably capturing pre-hospital disability scores and uniquely assessing the cohort of older persons hospitalized with ACSCs.
Our work is relevant to the continued evaluation of ACSC-related hospitalizations in national quality measurement and payment initiatives among Medicare beneficiaries. In prior evaluations of ACSC-related quality measures, stakeholders have criticized the measures for limited validity due to a lack of evidence linking each utilization outcome to other patient-centered outcomes.10,27 Our work addresses this gap by demonstrating that ACSC-related hospitalizations are linked to persistent disability, incomplete functional recovery, and incident NH admissions. Given the large body of evidence demonstrating the priority older persons place on these patient-reported outcomes,28,29 our work should reassure policymakers seeking to transform quality measurement programs into a more patient-oriented enterprise.
Our findings have several clinical practice, research, and policy implications. First, more-effective clinical strategies to minimize the level of care required for acute exacerbations of ACSC-related illnesses may include: (1) substituting home-based care30 and telehealth interventions31 for traditional inpatient hospitalization, (2) making in-ED resources (ie, case management services, geriatric-focused advanced practice providers) more accessible for older persons with ACSC-related illnesses, thereby enhancing care transitions and follow-up to avoid potential current and subsequent hospitalizations, and (3) ensuring adequate ambulatory care access to all older persons, as prior work has shown variation in ACSC hospital admission rates dependent on population factors such as high-poverty neighborhoods,16 insurance status,16,32 and race/ethnicity.33
Clinical strategies have been narrow and not holistic for ACSCs; for example, many institutions have focused on pneumonia vaccinations to reduce hospitalizations, but our work supports the need to further evaluate the impact of preventing ACSC-related hospitalizations and their associated disabling consequences. For patients admitted to the hospital, clinical strategies, such as in-hospital or post-hospital mobility and activity programs, have been shown to be protective against hospital-associated disability.34,35 Furthermore, hospital discharge planning could include preparing older persons for anticipated functional disabilities, associated recoveries, and NH admission after ACSC-related hospitalizations. Risk factors contributing to post-hospitalization functional disability and recovery have been identified,19,20,36 but future work is needed to: (1) identify target populations (including those most likely to worsen) so that interventions can be offered earlier in the course of care to those who would benefit most, and (2) identify and learn from those who are resilient and have recovered, to better understand factors contributing to their success.
Our study has several strengths. First, the study is unique due to its longitudinal design, with monthly assessments of functional status. Since functional status was assessed prospectively before the ACSC-related hospitalization, we also have avoided any potential concern for recall bias that may be present if assessed after the hospitalization. Additionally, through the use of Medicare claims and the Minimum Data Set, the ascertainment of hospitalizations and NH admissions was likely complete for the studied population.
However, the study has limitations. First, functional measures were based on self-reports rather than objective measurements. Nevertheless, the self-report function is often used to guide coverage determinations in the Medicare program, as it has been shown to be associated with poor health outcomes.37 Second, we are unable to comment on the rate of functional decline or NH admission when an older person was not hospitalized in relation to an ACSC. Future analyses may benefit from using a control group (eg, older adults without an ACSC hospitalization or older adults with a non-ACSC hospitalization). Third, we used strict exclusion criteria to identify a population of older adults without recent hospitalizations to determine the isolated impact of ACSC hospitalization on disability, incident NH admission, and functional recovery. Considering this potential selection bias, our findings are likely conservative estimates of the patient-centered outcomes evaluated. Fourth, participants were not asked about feeding and toileting. However, the incidence of disability in these ADLs is low among nondisabled, community-living older persons, and it is highly uncommon for disability to develop in these ADLs without concurrent disability in the ADLs within this analysis.14,38
Finally, because our study participants were members of a single health plan in a small urban area and included nondisabled older persons living in the community, our findings may not be generalizable to geriatric patients in other settings. Nonetheless, the demographics of our cohort reflect those of older persons in New Haven County, Connecticut, which are similar to the demographics of the US population, with the exception of race and ethnicity. In addition, the generalizability of our results are strengthened by the study’s high participation rate and minimal attrition.
CONCLUSION
Within 6 months of ACSC-related hospitalizations, community-living older persons exhibited greater total disability scores than those immediately preceding hospitalization. In the same time frame, 3 of 10 older persons did not achieve functional recovery, and half experienced incident NH admission. These results provide evidence regarding the continued recognition of ACSC-related hospitalizations in federal quality measurement and payment programs and suggests the need for preventive and comprehensive interventions to meaningfully improve longitudinal outcomes.
Acknowledgments
We thank Denise Shepard, BSN, MBA, Andrea Benjamin, BSN, Barbara Foster, and Amy Shelton, MPH, for assistance with data collection; Geraldine Hawthorne, BS, for assistance with data entry and management; Peter Charpentier, MPH, for design and development of the study database and participant tracking system; and Joanne McGloin, MDiv, MBA, for leadership and advice as the Project Director. Each of these persons were paid employees of Yale School of Medicine during the conduct of this study.
1. Covinsky KE, Pierluissi E, Johnston CB. Hospitalization-associated disability: “She was probably able to ambulate, but I’m not sure” JAMA. 2011;306(16):1782-1793. https://doi.org/10.1001/jama.2011.1556
2. Covinsky KE, Palmer RM, Fortinsky RH, et al. Loss of independence in activities of daily living in older adults hospitalized with medical illnesses: increased vulnerability with age. J Am Geriatr Soc. 2003;51(4):451-458. https://doi.org/10.1046/j.1532-5415.2003.51152.x
3. Barnes DE, Mehta KM, Boscardin WJ, et al. Prediction of recovery, dependence or death in elders who become disabled during hospitalization. J Gen Intern Med. 2013;28(2):261-268. https://doi.org/10.1007/s11606-012-2226-y
4. Gill TM, Allore HG, Gahbauer EA, Murphy TE. Change in disability after hospitalization or restricted activity in older persons. JAMA. 2010;304(17):1919-1928. https://doi.org/10.1001/jama.2010.1568
5. Boyd CM, Landefeld CS, Counsell SR, et al. Recovery of activities of daily living in older adults after hospitalization for acute medical illness. J Am Geriatr Soc. 2008;56(12):2171-2179. https://doi.org/10.1111/j.1532-5415.2008.02023.x
6. Loyd C, Markland AD, Zhang Y, et al. Prevalence of hospital-associated disability in older adults: a meta-analysis. J Am Med Dir Assoc. 2020;21(4):455-461. https://doi.org/10.1016/j.jamda.2019.09.015
7. Dharmarajan K, Han L, Gahbauer EA, Leo-Summers LS, Gill TM. Disability and recovery after hospitalization for medical illness among community-living older persons: a prospective cohort study. J Am Geriatr Soc. 2020;68(3):486-495. https://doi.org/10.1111/jgs.16350
8. Levine DA, Davydow DS, Hough CL, Langa KM, Rogers MAM, Iwashyna TJ. Functional disability and cognitive impairment after hospitalization for myocardial infarction and stroke. Circ Cardiovasc Qual Outcomes. 2014;7(6):863-871. https://doi.org/10.1161/HCQ.0000000000000008
9. Iwashyna TJ, Ely EW, Smith DM, Langa KM. Long-term cognitive impairment and functional disability among survivors of severe sepsis. JAMA. 2010;304(16):1787-1794. https://doi.org/10.1001/jama.2010.1553
10. Hodgson K, Deeny SR, Steventon A. Ambulatory care-sensitive conditions: their potential uses and limitations. BMJ Qual Saf. 2019;28(6):429-433. https://doi.org/10.1136/bmjqs-2018-008820
11. Agency for Healthcare Research and Quality (AHRQ). Quality Indicator User Guide: Prevention Quality Indicators (PQI) Composite Measures. Version 2020. Accessed November 10, 2020. https://www.qualityindicators.ahrq.gov/modules/pqi_resources.aspx.
12. Centers for Medicare & Medicaid Services. 2016 Measure information about the hospital admissions for acute and chronic ambulatory care-sensitive condition (ACSC) composite measures, calculated for the 2018 value-based payment modified program. Accessed November 24, 2020. https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/PhysicianFeedbackProgram/Downloads/2016-ACSC-MIF.pdf.
13. Gill TM, Desai MM, Gahbauer EA, Holford TR, Williams CS. Restricted activity among community-living older persons: incidence, precipitants, and health care utilization. Ann Intern Med. 2001;135(5):313-321. https://doi.org/10.7326/0003-4819-135-5-200109040-00007
14. Gill TM, Hardy SE, Williams CS. Underestimation of disability in community-living older persons. J Am Geriatr Soc. 2002;50(9):1492-1497. https://doi.org/10.1046/j.1532-5415.2002.50403.x
15. Agency for Healthcare Research and Quality. Prevention Quality Indicators Technical Specifications Updates—Version v2018 and 2018.0.1 (ICD 10-CM/PCS), June 2018. Accessed February 4, 2020. https://www.qualityindicators.ahrq.gov/Modules/PQI_TechSpec_ICD10_v2018.aspx.
16. Johnson PJ, Ghildayal N, Ward AC, Westgard BC, Boland LL, Hokanson JS. Disparities in potentially avoidable emergency department (ED) care: ED visits for ambulatory care sensitive conditions. Med Care. 2012;50(12):1020-1028. https://doi.org/10.1097/MLR.0b013e318270bad4
17. Galarraga JE, Mutter R, Pines JM. Costs associated with ambulatory care sensitive conditions across hospital-based settings. Acad Emerg Med. 2015;22(2):172-181. https://doi.org/10.1111/acem.12579
18. Ferrante LE, Pisani MA, Murphy TE, Gahbauer EA, Leo-Summers LS, Gill TM. Functional trajectories among older persons before and after critical illness. JAMA Intern Med. 2015;175(4):523-529. https://doi.org/10.1001/jamainternmed.2014.7889
19. Gill TM, Gahbauer EA, Murphy TE, Han L, Allore HG. Risk factors and precipitants of long-term disability in community mobility: a cohort study of older persons. Ann Intern Med. 2012;156(2):131-140. https://doi.org/10.7326/0003-4819-156-2-201201170-00009
20. Hardy SE, Gill TM. Factors associated with recovery of independence among newly disabled older persons. Arch Intern Med. 2005;165(1):106-112. https://doi.org/10.1001/archinte.165.1.106
21. Centers for Medicare & Medicaid Services. Nursing Home Quality Initiative—Quality Measures. Accessed June 13, 2021. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/NursingHomeQualityInits/NHQIQualityMeasures
22. Goodwin JS, Li S, Zhou J, Graham JE, Karmarkar A, Ottenbacher K. Comparison of methods to identify long term care nursing home residence with administrative data. BMC Health Serv Res. 2017;17(1):376. https://doi.org/10.1186/s12913-017-2318-9
23. Laditka, JN, Laditka SB, Probst JC. More may be better: evidence of a negative relationship between physician supply and hospitalization for ambulatory care sensitive conditions. Health Serv Res. 2005;40(4):1148-1166. https://doi.org/10.1111/j.1475-6773.2005.00403.x
24. Ansar Z, Laditka JN, Laditka SB. Access to health care and hospitalization for ambulatory care sensitive conditions. Med Care Res Rev. 2006;63(6):719-741. https://doi.org/10.1177/1077558706293637
25. Mackinko J, de Oliveira VB, Turci MA, Guanais FC, Bonolo PF, Lima-Costa MF. The influence of primary care and hospital supply on ambulatory care-sensitive hospitalizations among adults in Brazil, 1999-2007. Am J Public Health. 2011;101(10):1963-1970. https://doi.org/10.2105/AJPH.2010.198887
26. Gibson OR, Segal L, McDermott RA. A systematic review of evidence on the association between hospitalisation for chronic disease related ambulatory care sensitive conditions and primary health care resourcing. BMC Health Serv Res. 2013;13:336. https://doi.org/10.1186/1472-6963-13-336
27. Vuik SI, Fontana G, Mayer E, Darzi A. Do hospitalisations for ambulatory care sensitive conditions reflect low access to primary care? An observational cohort study of primary care usage prior to hospitalisation. BMJ Open. 2017;7(8):e015704. https://doi.org/10.1136/bmjopen-2016-015704
28. Fried TR, Tinetti M, Agostini J, Iannone L, Towle V. Health outcome prioritization to elicit preferences of older persons with multiple health conditions. Patient Educ Couns. 2011;83(2):278-282. https://doi.org/10.1016/j.pec.2010.04.032
29. Reuben DB, Tinetti ME. Goal-oriented patient care—an alternative health outcomes paradigm. N Engl J Med. 2012;366(9):777-779. https://doi.org/10.1056/NEJMp1113631
30. Federman AD, Soones T, DeCherrie LV, Leff B, Siu AL. Association of a bundled hospital-at-home and 30-day postacute transitional care program with clinical outcomes and patient experiences. JAMA Intern Med. 2018;178(8):1033-1040. https://doi.org/10.1001/jamainternmed.2018.2562
31. Shah MN, Wasserman EB, Gillespie SM, et al. High-intensity telemedicine decreases emergency department use for ambulatory care sensitive conditions by older adult senior living community residents. J Am Med Dir Assoc. 2015;16(12):1077-1081. https://doi.org/10.1016/j.jamda.2015.07.009
32. Oster A, Bindman AB. Emergency department visits for ambulatory care sensitive conditions: insights into preventable hospitalizations. Med Care. 2003;41(2):198-207. https://doi.org/10.1097/01.MLR.0000045021.70297.9F
33. O’Neil SS, Lake T, Merrill A, Wilson A, Mann DA, Bartnyska LM. Racial disparities in hospitalizations for ambulatory care-sensitive conditions. Am J Prev Med. 2010;38(4):381-388. https://doi.org/10.1016/j.amepre.2009.12.026
34. Pavon JM, Sloane RJ, Pieper RF, et al. Accelerometer-measured hospital physical activity and hospital-acquired disability in older adults. J Am Geriatr Soc. 2020;68:261-265. https://doi.org/10.1111/jgs.16231
35. Sunde S, Hesseberg K, Skelton DA, et al. Effects of a multicomponent high intensity exercise program on physical function and health-related quality of life in older adults with or at risk of mobility disability after discharge from hospital: a randomised controlled trial. BMC Geriatr. 2020;20(1):464. https://doi.org/10.1186/s12877-020-01829-9
36. Hardy SE, Gill TM. Recovery from disability among community-dwelling older persons. JAMA. 2004;291(13):1596-1602. https://doi.org/10.1001/jama.291.13.1596
37. Rotenberg J, Kinosian B, Boling P, Taler G, Independence at Home Learning Collaborative Writing Group. Home-based primary care: beyond extension of the independence at home demonstration. J Am Geriatr Soc. 2018;66(4):812-817. https://doi.org/10.1111/jgs.15314
38. Rodgers W, Miller B. A comparative analysis of ADL questions in surveys of older people. J Gerontol B Psychol Sci Soc Sci. 1997;52:21-36. https://doi.org/10.1093/geronb/52b.special_issue.21
1. Covinsky KE, Pierluissi E, Johnston CB. Hospitalization-associated disability: “She was probably able to ambulate, but I’m not sure” JAMA. 2011;306(16):1782-1793. https://doi.org/10.1001/jama.2011.1556
2. Covinsky KE, Palmer RM, Fortinsky RH, et al. Loss of independence in activities of daily living in older adults hospitalized with medical illnesses: increased vulnerability with age. J Am Geriatr Soc. 2003;51(4):451-458. https://doi.org/10.1046/j.1532-5415.2003.51152.x
3. Barnes DE, Mehta KM, Boscardin WJ, et al. Prediction of recovery, dependence or death in elders who become disabled during hospitalization. J Gen Intern Med. 2013;28(2):261-268. https://doi.org/10.1007/s11606-012-2226-y
4. Gill TM, Allore HG, Gahbauer EA, Murphy TE. Change in disability after hospitalization or restricted activity in older persons. JAMA. 2010;304(17):1919-1928. https://doi.org/10.1001/jama.2010.1568
5. Boyd CM, Landefeld CS, Counsell SR, et al. Recovery of activities of daily living in older adults after hospitalization for acute medical illness. J Am Geriatr Soc. 2008;56(12):2171-2179. https://doi.org/10.1111/j.1532-5415.2008.02023.x
6. Loyd C, Markland AD, Zhang Y, et al. Prevalence of hospital-associated disability in older adults: a meta-analysis. J Am Med Dir Assoc. 2020;21(4):455-461. https://doi.org/10.1016/j.jamda.2019.09.015
7. Dharmarajan K, Han L, Gahbauer EA, Leo-Summers LS, Gill TM. Disability and recovery after hospitalization for medical illness among community-living older persons: a prospective cohort study. J Am Geriatr Soc. 2020;68(3):486-495. https://doi.org/10.1111/jgs.16350
8. Levine DA, Davydow DS, Hough CL, Langa KM, Rogers MAM, Iwashyna TJ. Functional disability and cognitive impairment after hospitalization for myocardial infarction and stroke. Circ Cardiovasc Qual Outcomes. 2014;7(6):863-871. https://doi.org/10.1161/HCQ.0000000000000008
9. Iwashyna TJ, Ely EW, Smith DM, Langa KM. Long-term cognitive impairment and functional disability among survivors of severe sepsis. JAMA. 2010;304(16):1787-1794. https://doi.org/10.1001/jama.2010.1553
10. Hodgson K, Deeny SR, Steventon A. Ambulatory care-sensitive conditions: their potential uses and limitations. BMJ Qual Saf. 2019;28(6):429-433. https://doi.org/10.1136/bmjqs-2018-008820
11. Agency for Healthcare Research and Quality (AHRQ). Quality Indicator User Guide: Prevention Quality Indicators (PQI) Composite Measures. Version 2020. Accessed November 10, 2020. https://www.qualityindicators.ahrq.gov/modules/pqi_resources.aspx.
12. Centers for Medicare & Medicaid Services. 2016 Measure information about the hospital admissions for acute and chronic ambulatory care-sensitive condition (ACSC) composite measures, calculated for the 2018 value-based payment modified program. Accessed November 24, 2020. https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/PhysicianFeedbackProgram/Downloads/2016-ACSC-MIF.pdf.
13. Gill TM, Desai MM, Gahbauer EA, Holford TR, Williams CS. Restricted activity among community-living older persons: incidence, precipitants, and health care utilization. Ann Intern Med. 2001;135(5):313-321. https://doi.org/10.7326/0003-4819-135-5-200109040-00007
14. Gill TM, Hardy SE, Williams CS. Underestimation of disability in community-living older persons. J Am Geriatr Soc. 2002;50(9):1492-1497. https://doi.org/10.1046/j.1532-5415.2002.50403.x
15. Agency for Healthcare Research and Quality. Prevention Quality Indicators Technical Specifications Updates—Version v2018 and 2018.0.1 (ICD 10-CM/PCS), June 2018. Accessed February 4, 2020. https://www.qualityindicators.ahrq.gov/Modules/PQI_TechSpec_ICD10_v2018.aspx.
16. Johnson PJ, Ghildayal N, Ward AC, Westgard BC, Boland LL, Hokanson JS. Disparities in potentially avoidable emergency department (ED) care: ED visits for ambulatory care sensitive conditions. Med Care. 2012;50(12):1020-1028. https://doi.org/10.1097/MLR.0b013e318270bad4
17. Galarraga JE, Mutter R, Pines JM. Costs associated with ambulatory care sensitive conditions across hospital-based settings. Acad Emerg Med. 2015;22(2):172-181. https://doi.org/10.1111/acem.12579
18. Ferrante LE, Pisani MA, Murphy TE, Gahbauer EA, Leo-Summers LS, Gill TM. Functional trajectories among older persons before and after critical illness. JAMA Intern Med. 2015;175(4):523-529. https://doi.org/10.1001/jamainternmed.2014.7889
19. Gill TM, Gahbauer EA, Murphy TE, Han L, Allore HG. Risk factors and precipitants of long-term disability in community mobility: a cohort study of older persons. Ann Intern Med. 2012;156(2):131-140. https://doi.org/10.7326/0003-4819-156-2-201201170-00009
20. Hardy SE, Gill TM. Factors associated with recovery of independence among newly disabled older persons. Arch Intern Med. 2005;165(1):106-112. https://doi.org/10.1001/archinte.165.1.106
21. Centers for Medicare & Medicaid Services. Nursing Home Quality Initiative—Quality Measures. Accessed June 13, 2021. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/NursingHomeQualityInits/NHQIQualityMeasures
22. Goodwin JS, Li S, Zhou J, Graham JE, Karmarkar A, Ottenbacher K. Comparison of methods to identify long term care nursing home residence with administrative data. BMC Health Serv Res. 2017;17(1):376. https://doi.org/10.1186/s12913-017-2318-9
23. Laditka, JN, Laditka SB, Probst JC. More may be better: evidence of a negative relationship between physician supply and hospitalization for ambulatory care sensitive conditions. Health Serv Res. 2005;40(4):1148-1166. https://doi.org/10.1111/j.1475-6773.2005.00403.x
24. Ansar Z, Laditka JN, Laditka SB. Access to health care and hospitalization for ambulatory care sensitive conditions. Med Care Res Rev. 2006;63(6):719-741. https://doi.org/10.1177/1077558706293637
25. Mackinko J, de Oliveira VB, Turci MA, Guanais FC, Bonolo PF, Lima-Costa MF. The influence of primary care and hospital supply on ambulatory care-sensitive hospitalizations among adults in Brazil, 1999-2007. Am J Public Health. 2011;101(10):1963-1970. https://doi.org/10.2105/AJPH.2010.198887
26. Gibson OR, Segal L, McDermott RA. A systematic review of evidence on the association between hospitalisation for chronic disease related ambulatory care sensitive conditions and primary health care resourcing. BMC Health Serv Res. 2013;13:336. https://doi.org/10.1186/1472-6963-13-336
27. Vuik SI, Fontana G, Mayer E, Darzi A. Do hospitalisations for ambulatory care sensitive conditions reflect low access to primary care? An observational cohort study of primary care usage prior to hospitalisation. BMJ Open. 2017;7(8):e015704. https://doi.org/10.1136/bmjopen-2016-015704
28. Fried TR, Tinetti M, Agostini J, Iannone L, Towle V. Health outcome prioritization to elicit preferences of older persons with multiple health conditions. Patient Educ Couns. 2011;83(2):278-282. https://doi.org/10.1016/j.pec.2010.04.032
29. Reuben DB, Tinetti ME. Goal-oriented patient care—an alternative health outcomes paradigm. N Engl J Med. 2012;366(9):777-779. https://doi.org/10.1056/NEJMp1113631
30. Federman AD, Soones T, DeCherrie LV, Leff B, Siu AL. Association of a bundled hospital-at-home and 30-day postacute transitional care program with clinical outcomes and patient experiences. JAMA Intern Med. 2018;178(8):1033-1040. https://doi.org/10.1001/jamainternmed.2018.2562
31. Shah MN, Wasserman EB, Gillespie SM, et al. High-intensity telemedicine decreases emergency department use for ambulatory care sensitive conditions by older adult senior living community residents. J Am Med Dir Assoc. 2015;16(12):1077-1081. https://doi.org/10.1016/j.jamda.2015.07.009
32. Oster A, Bindman AB. Emergency department visits for ambulatory care sensitive conditions: insights into preventable hospitalizations. Med Care. 2003;41(2):198-207. https://doi.org/10.1097/01.MLR.0000045021.70297.9F
33. O’Neil SS, Lake T, Merrill A, Wilson A, Mann DA, Bartnyska LM. Racial disparities in hospitalizations for ambulatory care-sensitive conditions. Am J Prev Med. 2010;38(4):381-388. https://doi.org/10.1016/j.amepre.2009.12.026
34. Pavon JM, Sloane RJ, Pieper RF, et al. Accelerometer-measured hospital physical activity and hospital-acquired disability in older adults. J Am Geriatr Soc. 2020;68:261-265. https://doi.org/10.1111/jgs.16231
35. Sunde S, Hesseberg K, Skelton DA, et al. Effects of a multicomponent high intensity exercise program on physical function and health-related quality of life in older adults with or at risk of mobility disability after discharge from hospital: a randomised controlled trial. BMC Geriatr. 2020;20(1):464. https://doi.org/10.1186/s12877-020-01829-9
36. Hardy SE, Gill TM. Recovery from disability among community-dwelling older persons. JAMA. 2004;291(13):1596-1602. https://doi.org/10.1001/jama.291.13.1596
37. Rotenberg J, Kinosian B, Boling P, Taler G, Independence at Home Learning Collaborative Writing Group. Home-based primary care: beyond extension of the independence at home demonstration. J Am Geriatr Soc. 2018;66(4):812-817. https://doi.org/10.1111/jgs.15314
38. Rodgers W, Miller B. A comparative analysis of ADL questions in surveys of older people. J Gerontol B Psychol Sci Soc Sci. 1997;52:21-36. https://doi.org/10.1093/geronb/52b.special_issue.21
© 2021 Society of Hospital Medicine
Morning Discharges Are Also Not Associated With Emergency Department Boarding Times
We thank Dr Zorian and colleagues for their editorial1 addressing our retrospective multicenter cohort study, “Morning Discharges and Patient Length-of-Stay in Inpatient General Internal Medicine.”2 Dr Zorian and colleagues raised a question about whether morning discharges were associated with emergency department (ED) boarding times (ie, the time between the decision to admit a patient and their departure from the ED). We also received correspondence from other readers expressing interest in this metric.
We measured the association between morning discharges from general internal medicine (GIM) and ED boarding time using the same methodology and cohort as previously described in our article.2 A total of 37 admissions out of 189,781 admissions (<0.1%) did not have an ED boarding time available and were excluded. The mean (SD) boarding time for the remaining cohort (n = 189,744) was 9.63 (11.67) hours. After categorizing days in the study period into quartiles based on the number of morning discharges from GIM, we did not find a strong unadjusted association with ED boarding times (Table). After multivariable adjustment with negative binomial regression models, as previously described,2 there was a weak, statistically significant association between the number of morning discharges and ED boarding time (adjusted rate ratio, 0.995; 95% CI, 0.991-1.000), corresponding to 2.4 minutes less in ED boarding time for every additional morning discharge. Ultimately, we agree with Dr Zorian and colleagues that instead of focusing on discharge-before-noon, hospitals should consider patient flow and discharge quality more holistically.
1. Zorian A, Shine D, Mourad M. Discharge by noon: toward a better understanding of benefits and costs. J Hosp Med. 2021;16(6):384. https://doi.org/10.12788/jhm.3613
2. Kirubarajan A, Shin S, Fralick M, et al. Morning discharges and patient length of stay in inpatient general internal medicine. J Hosp Med. 2021;16(6):333-338. https://10.12788/jhm.3605
We thank Dr Zorian and colleagues for their editorial1 addressing our retrospective multicenter cohort study, “Morning Discharges and Patient Length-of-Stay in Inpatient General Internal Medicine.”2 Dr Zorian and colleagues raised a question about whether morning discharges were associated with emergency department (ED) boarding times (ie, the time between the decision to admit a patient and their departure from the ED). We also received correspondence from other readers expressing interest in this metric.
We measured the association between morning discharges from general internal medicine (GIM) and ED boarding time using the same methodology and cohort as previously described in our article.2 A total of 37 admissions out of 189,781 admissions (<0.1%) did not have an ED boarding time available and were excluded. The mean (SD) boarding time for the remaining cohort (n = 189,744) was 9.63 (11.67) hours. After categorizing days in the study period into quartiles based on the number of morning discharges from GIM, we did not find a strong unadjusted association with ED boarding times (Table). After multivariable adjustment with negative binomial regression models, as previously described,2 there was a weak, statistically significant association between the number of morning discharges and ED boarding time (adjusted rate ratio, 0.995; 95% CI, 0.991-1.000), corresponding to 2.4 minutes less in ED boarding time for every additional morning discharge. Ultimately, we agree with Dr Zorian and colleagues that instead of focusing on discharge-before-noon, hospitals should consider patient flow and discharge quality more holistically.
We thank Dr Zorian and colleagues for their editorial1 addressing our retrospective multicenter cohort study, “Morning Discharges and Patient Length-of-Stay in Inpatient General Internal Medicine.”2 Dr Zorian and colleagues raised a question about whether morning discharges were associated with emergency department (ED) boarding times (ie, the time between the decision to admit a patient and their departure from the ED). We also received correspondence from other readers expressing interest in this metric.
We measured the association between morning discharges from general internal medicine (GIM) and ED boarding time using the same methodology and cohort as previously described in our article.2 A total of 37 admissions out of 189,781 admissions (<0.1%) did not have an ED boarding time available and were excluded. The mean (SD) boarding time for the remaining cohort (n = 189,744) was 9.63 (11.67) hours. After categorizing days in the study period into quartiles based on the number of morning discharges from GIM, we did not find a strong unadjusted association with ED boarding times (Table). After multivariable adjustment with negative binomial regression models, as previously described,2 there was a weak, statistically significant association between the number of morning discharges and ED boarding time (adjusted rate ratio, 0.995; 95% CI, 0.991-1.000), corresponding to 2.4 minutes less in ED boarding time for every additional morning discharge. Ultimately, we agree with Dr Zorian and colleagues that instead of focusing on discharge-before-noon, hospitals should consider patient flow and discharge quality more holistically.
1. Zorian A, Shine D, Mourad M. Discharge by noon: toward a better understanding of benefits and costs. J Hosp Med. 2021;16(6):384. https://doi.org/10.12788/jhm.3613
2. Kirubarajan A, Shin S, Fralick M, et al. Morning discharges and patient length of stay in inpatient general internal medicine. J Hosp Med. 2021;16(6):333-338. https://10.12788/jhm.3605
1. Zorian A, Shine D, Mourad M. Discharge by noon: toward a better understanding of benefits and costs. J Hosp Med. 2021;16(6):384. https://doi.org/10.12788/jhm.3613
2. Kirubarajan A, Shin S, Fralick M, et al. Morning discharges and patient length of stay in inpatient general internal medicine. J Hosp Med. 2021;16(6):333-338. https://10.12788/jhm.3605
© 2021 Society of Hospital Medicine
Moment vs Movement: Mission-Based Tweeting for Physician Advocacy
“We, the members of the world community of physicians, solemnly commit ourselves to . . . advocate for social, economic, educational and political changes that ameliorate suffering and contribute to human well-being.”
— American Medical Association Oath of Professional Responsibility. 1
As individuals and groups spread misinformation on social media platforms, there is a greater need for physician health advocacy.2 We have learned through the COVID-19 pandemic that rapidly evolving information requires public-facing health experts to address misinformation and explain why healthcare providers and experts make certain recommendations.2 Physicians recognize the potential for benefit from crowdsourcing education, positive publicity, and increasing their reach to a larger platform.3
However, despite social media’s need for such expertise and these recognized benefits, many physicians are hesitant to engage on social media, citing lack of time, interest, or the proper skill set to use it effectively.3 Additional barriers may include uncertainty about employer policies, fear of saying something inaccurate or unprofessional, or inadvertently breaching patient privacy.3 While these are valid concerns, a strategic approach to curating a social media presence focuses less on the moments created by provocative tweets and more on the movement the author wishes to amplify. Here, we propose a framework for effective physician advocacy using a strategy we term Mission-Based Tweeting (MBT).
MISSION-BASED TWEETING
Physicians can use Twitter to engage large audiences.4 MBT focuses an individual’s central message by providing a framework upon which to build such engagement.5 The conceptual framework for a meaningful social media strategy through MBT is anchored on the principle that the impact of our Twitter content is more valuable than the number of followers.6 Using this framework, users begin by creating and defining their identity while engaging in meaningful online interactions. Over time, these interactions will lead to generating influence related to their established identity, which can ultimately impact the social micro-society.6 While an individual’s social media impact can be determined and reinforced through MBT, it remains important to know that MBT is not exemplified in one specific tweet, but rather in the body of work shared by an individual that continuously reinforces the mission.
TWEETING FOR THE MOMENT VS FOR THE MOVEMENT: USING MBT FOR ADVOCACY
Advocacy typically involves using one’s voice to publicly support a specific interest. With that in mind, health advocacy can be divided into two categories: (1) agency, which involves advancing the health of individual patients within a system, and (2) activism, which acts to advance the health of communities or populations or change the structure of the healthcare system.7 While many physicians accept agency as part of their day-to-day job, activism is often more difficult. For example, physicians hoping to engage in health advocacy may be unable to travel to their state or federal legislature buildings, or their employers may restrict their ability to interact with elected officials. The emergence of social media and digital technology has lowered these barriers and created more accessible opportunities for physicians to engage in advocacy efforts.
Social media can provide an opportunity for clinicians to engage with other healthcare professionals, creating movements that have far-reaching effects across the healthcare spectrum. These movements, often driven by common hashtags, have expanded greatly beyond their originators’ intent, thus demonstrating the power of social media for healthcare activism (Table).4 Physician advocacy can provide accurate information about medical conditions and treatments, dispel myths that may affect patient care, and draw attention to conditions that impact their ability to provide that care. For instance, physicians and medical students recently used Twitter during the COVID-19 pandemic to focus on the real consequences of lack of access to personal protective equipment during the pandemic (Table).8,9 In the past year, physicians have used Twitter to highlight how structural racism perpetuates racial disparities in COVID-19 and to call for action against police brutality and the killing of unarmed Black citizens. Such activism has led to media appearances and even congressional testimony—which has, in turn, provided even larger audiences for clinicians’ advocacy efforts.10 Physicians can also use MBT to advocate for the medical profession. Strategic, mission-based, social media campaigns have focused on including women; Black, Indigenous, and People of Color (BIPOC); doctors with disabilities; and LGBTQ+ physicians in the narrative of what a doctor looks like (Table).11,12
When physicians consider their personal mission statement as it applies to their social media presence, it allows them to connect to something bigger than themselves, while helping guide them away from engagements that do not align with their personal or professional values. In this manner, MBT harnesses an individual’s authenticity and helps build their personal branding, which may ultimately result in more opportunities to advance their mission. In our experience, the constant delivery of mission-based content can even accelerate one’s professional work, help amplify others’ successes and voices, and ultimately lead to more meaningful engagement and activism.
However, it is important to note that there are potential downsides to engaging on social media, particularly for women and BIPOC users. For example, in a recent online survey, almost a quarter of physicians who responded reported personal attacks on social media, with one in six female physicians reporting sexual harassment.13 This risk may increase as an individual’s visibility and reach increase.
DEVELOP YOUR MISSION STATEMENT
To aid in MBT, we have found it useful to define your personal mission statement, which should succinctly describe your core values, the specific population or cause you serve, and your overarching goals or ideals. For example, someone interested in advocating for health justice might have the following mission statement: “To create and support a healthcare workforce and graduate medical education environment that strives for excellence and values Inclusion, Diversity, Access, and Equity as not only important, but necessary, for excellence.”14 Developing a personal mission statement permits more focus in all activities, including clinical, educational, administrative, or scholarship, and allows one to succinctly communicate important values with others.15 Communicating your personal mission statement concisely can improve the quality of your interactions with others and allows you to more precisely define the qualitative and quantitative impact of your social media engagement.
ENGAGING TO AMPLIFY YOUR MISSION
There are several options for creating and delivering effective mission-driven content on Twitter.16 We propose the Five A’s of MBT (Authenticity is key, Amplify other voices, Accelerate your work, Avoid arguments, Always be professional) to provide a general guide to ensuring that your tweets honor your mission (Figure). While each factor is important, we consider authenticity the most important as it guides consistency of the message, addresses your mission, and invites discussion. In this manner, even when physicians tweet about lived experiences or scientific data that may make some individuals uncomfortable, authenticity can still lead to meaningful engagement.17
There is synergy between amplifying other voices and accelerating your own work, as both provide an opportunity to highlight your specific advocacy interest. In the earlier example, the physician advocating for health justice may create a thread highlighting inequities in COVID-19 vaccination, including their own data and that of other health justice scholars, and in doing so, provide an invaluable repository of references or speakers for a future project.
We caution that not everyone will agree with your mission, so avoiding arguments and remaining professional in these interactions is paramount. Furthermore, it is also possible that a physician’s mission and opinions may not align with those of their employer, so it is important for social media users to review and clarify their employer’s social media policies to avoid violations and related repercussions. Physicians should tweet as if they were speaking into a microphone on the record, and authenticity should ground them into projecting the same personality online as they would offline.
CONCLUSION
We believe that, by the very nature of their chosen careers, physicians should step into the tension of advocacy. We acknowledge that physicians who are otherwise vocal advocates in other areas of life may be reluctant to engage on social media. However, if the measure of “success” on Twitter is meaningful interaction, sharing knowledge, and amplifying other voices according to a specific personal mission, MBT can be a useful framework. This is a call to action for hesitant physicians to take a leap and explore this platform, and for those already using social media to reevaluate their use and reflect on their mission. Physicians have been gifted a megaphone that can be used to combat misinformation, advocate for patients and the healthcare community, and advance needed discussions to benefit those in society who cannot speak for themselves. We advocate for physicians to look beyond the moment of a tweet and consider how your voice can contribute to a movement.
Acknowledgments
The authors thank Dr Vineet Arora for her contribution to early concept development for this manuscript and the JHM editorial staff for their productive feedback and editorial comments.
1. Riddick FA Jr. The code of medical ethics of the American Medical Association. Ochsner J. 2003;5(2):6-10. https://doi.org/10.3201/eid2702.203139
2. Vraga EK, Bode L. Addressing COVID-19 misinformation on social media preemptively and responsively. Emerg Infect Dis. 2021;27(2):396-403. https://doi.org/10.3201/eid2702.203139
3. Campbell L, Evans Y, Pumper M, Moreno MA. Social media use by physicians: a qualitative study of the new frontier of medicine. BMC Med Inform Decis Mak. 2016;16:91. https://doi.org/10.1186/s12911-016-0327-y
4. Wetsman N. How Twitter is changing medical research. Nat Med. 2020;26(1):11-13. https://doi.org/10.1038/s41591-019-0697-7
5. Shapiro M. Episode 107: Vinny Arora & Charlie Wray on Social Media & CVs. Explore The Space Podcast. https://www.explorethespaceshow.com/podcasting/vinny-arora-charlie-wray-on-cvs-social-media/
6. Varghese T. i4 (i to the 4th) is a strategy for #SoMe. Accessed April 22, 2021. https://twitter.com/TomVargheseJr/status/1027181443712081920?s=20
7. Dobson S, Voyer S, Regehr G. Perspective: agency and activism: rethinking health advocacy in the medical profession. Acad Med. 2012;87(9):1161-1164. https://doi.org/10.1097/ACM.0b013e3182621c25
8. #GetMePPE. Accessed April 22, 2021. https://twitter.com/hashtag/getmeppe?f=live
9. Ouyang H. At the front lines of coronavirus, turning to social media. The New York Times. March 18, 2020. Accessed April 22, 2021. https://www.nytimes.com/2020/03/18/well/live/coronavirus-doctors-facebook-twitter-social-media-covid.html
10. Blackstock U. Combining social media advocacy with health policy advocacy. Accessed April 22, 2021. https://twitter.com/uche_blackstock/status/1270413367761666048?s=20
11. Meeks LM, Liao P, Kim N. Using Twitter to promote awareness of disabilities in medicine. Med Educ. 2019;53(5):525-526. https://doi.org/10.1111/medu.13836
12. Nolen L. To all the little brown girls out there “you can’t be what you can’t see but I hope you see me now and that you see yourself in me.” Accessed April 22, 2021. https://twitter.com/LashNolen/status/1160901502266777600?s=20.
13. Pendergrast TR, Jain S, Trueger NS, Gottlieb M, Woitowich NC, Arora VM. Prevalence of personal attacks and sexual harassment of physicians on social media. JAMA Intern Med. 2021;181(4):550-552. https://doi.org/10.1001/jamainternmed.2020.7235
14. Marcelin JR. Personal mission statement. Accessed July 6, 2021. https://www.unmc.edu/intmed/residencies-fellowships/residency/diverse-taskforce/index.html.
15. Li S-TT, Frohna JG, Bostwick SB. Using your personal mission statement to INSPIRE and achieve success. Acad Pediatr. 2017;17(2):107-109. https://doi.org/10.1016/j.acap.2016.11.010
16. Alton L. 7 tips for creating engaging content every day. Accessed April 22, 2021. https://business.twitter.com/en/blog/7-tips-creating-engaging-content-every-day.html
17. Boyd R. Is everyone reading this??! Accessed April 22, 2021. https://twitter.com/RheaBoydMD/status/1273006362679578625?s=20
“We, the members of the world community of physicians, solemnly commit ourselves to . . . advocate for social, economic, educational and political changes that ameliorate suffering and contribute to human well-being.”
— American Medical Association Oath of Professional Responsibility. 1
As individuals and groups spread misinformation on social media platforms, there is a greater need for physician health advocacy.2 We have learned through the COVID-19 pandemic that rapidly evolving information requires public-facing health experts to address misinformation and explain why healthcare providers and experts make certain recommendations.2 Physicians recognize the potential for benefit from crowdsourcing education, positive publicity, and increasing their reach to a larger platform.3
However, despite social media’s need for such expertise and these recognized benefits, many physicians are hesitant to engage on social media, citing lack of time, interest, or the proper skill set to use it effectively.3 Additional barriers may include uncertainty about employer policies, fear of saying something inaccurate or unprofessional, or inadvertently breaching patient privacy.3 While these are valid concerns, a strategic approach to curating a social media presence focuses less on the moments created by provocative tweets and more on the movement the author wishes to amplify. Here, we propose a framework for effective physician advocacy using a strategy we term Mission-Based Tweeting (MBT).
MISSION-BASED TWEETING
Physicians can use Twitter to engage large audiences.4 MBT focuses an individual’s central message by providing a framework upon which to build such engagement.5 The conceptual framework for a meaningful social media strategy through MBT is anchored on the principle that the impact of our Twitter content is more valuable than the number of followers.6 Using this framework, users begin by creating and defining their identity while engaging in meaningful online interactions. Over time, these interactions will lead to generating influence related to their established identity, which can ultimately impact the social micro-society.6 While an individual’s social media impact can be determined and reinforced through MBT, it remains important to know that MBT is not exemplified in one specific tweet, but rather in the body of work shared by an individual that continuously reinforces the mission.
TWEETING FOR THE MOMENT VS FOR THE MOVEMENT: USING MBT FOR ADVOCACY
Advocacy typically involves using one’s voice to publicly support a specific interest. With that in mind, health advocacy can be divided into two categories: (1) agency, which involves advancing the health of individual patients within a system, and (2) activism, which acts to advance the health of communities or populations or change the structure of the healthcare system.7 While many physicians accept agency as part of their day-to-day job, activism is often more difficult. For example, physicians hoping to engage in health advocacy may be unable to travel to their state or federal legislature buildings, or their employers may restrict their ability to interact with elected officials. The emergence of social media and digital technology has lowered these barriers and created more accessible opportunities for physicians to engage in advocacy efforts.
Social media can provide an opportunity for clinicians to engage with other healthcare professionals, creating movements that have far-reaching effects across the healthcare spectrum. These movements, often driven by common hashtags, have expanded greatly beyond their originators’ intent, thus demonstrating the power of social media for healthcare activism (Table).4 Physician advocacy can provide accurate information about medical conditions and treatments, dispel myths that may affect patient care, and draw attention to conditions that impact their ability to provide that care. For instance, physicians and medical students recently used Twitter during the COVID-19 pandemic to focus on the real consequences of lack of access to personal protective equipment during the pandemic (Table).8,9 In the past year, physicians have used Twitter to highlight how structural racism perpetuates racial disparities in COVID-19 and to call for action against police brutality and the killing of unarmed Black citizens. Such activism has led to media appearances and even congressional testimony—which has, in turn, provided even larger audiences for clinicians’ advocacy efforts.10 Physicians can also use MBT to advocate for the medical profession. Strategic, mission-based, social media campaigns have focused on including women; Black, Indigenous, and People of Color (BIPOC); doctors with disabilities; and LGBTQ+ physicians in the narrative of what a doctor looks like (Table).11,12
When physicians consider their personal mission statement as it applies to their social media presence, it allows them to connect to something bigger than themselves, while helping guide them away from engagements that do not align with their personal or professional values. In this manner, MBT harnesses an individual’s authenticity and helps build their personal branding, which may ultimately result in more opportunities to advance their mission. In our experience, the constant delivery of mission-based content can even accelerate one’s professional work, help amplify others’ successes and voices, and ultimately lead to more meaningful engagement and activism.
However, it is important to note that there are potential downsides to engaging on social media, particularly for women and BIPOC users. For example, in a recent online survey, almost a quarter of physicians who responded reported personal attacks on social media, with one in six female physicians reporting sexual harassment.13 This risk may increase as an individual’s visibility and reach increase.
DEVELOP YOUR MISSION STATEMENT
To aid in MBT, we have found it useful to define your personal mission statement, which should succinctly describe your core values, the specific population or cause you serve, and your overarching goals or ideals. For example, someone interested in advocating for health justice might have the following mission statement: “To create and support a healthcare workforce and graduate medical education environment that strives for excellence and values Inclusion, Diversity, Access, and Equity as not only important, but necessary, for excellence.”14 Developing a personal mission statement permits more focus in all activities, including clinical, educational, administrative, or scholarship, and allows one to succinctly communicate important values with others.15 Communicating your personal mission statement concisely can improve the quality of your interactions with others and allows you to more precisely define the qualitative and quantitative impact of your social media engagement.
ENGAGING TO AMPLIFY YOUR MISSION
There are several options for creating and delivering effective mission-driven content on Twitter.16 We propose the Five A’s of MBT (Authenticity is key, Amplify other voices, Accelerate your work, Avoid arguments, Always be professional) to provide a general guide to ensuring that your tweets honor your mission (Figure). While each factor is important, we consider authenticity the most important as it guides consistency of the message, addresses your mission, and invites discussion. In this manner, even when physicians tweet about lived experiences or scientific data that may make some individuals uncomfortable, authenticity can still lead to meaningful engagement.17
There is synergy between amplifying other voices and accelerating your own work, as both provide an opportunity to highlight your specific advocacy interest. In the earlier example, the physician advocating for health justice may create a thread highlighting inequities in COVID-19 vaccination, including their own data and that of other health justice scholars, and in doing so, provide an invaluable repository of references or speakers for a future project.
We caution that not everyone will agree with your mission, so avoiding arguments and remaining professional in these interactions is paramount. Furthermore, it is also possible that a physician’s mission and opinions may not align with those of their employer, so it is important for social media users to review and clarify their employer’s social media policies to avoid violations and related repercussions. Physicians should tweet as if they were speaking into a microphone on the record, and authenticity should ground them into projecting the same personality online as they would offline.
CONCLUSION
We believe that, by the very nature of their chosen careers, physicians should step into the tension of advocacy. We acknowledge that physicians who are otherwise vocal advocates in other areas of life may be reluctant to engage on social media. However, if the measure of “success” on Twitter is meaningful interaction, sharing knowledge, and amplifying other voices according to a specific personal mission, MBT can be a useful framework. This is a call to action for hesitant physicians to take a leap and explore this platform, and for those already using social media to reevaluate their use and reflect on their mission. Physicians have been gifted a megaphone that can be used to combat misinformation, advocate for patients and the healthcare community, and advance needed discussions to benefit those in society who cannot speak for themselves. We advocate for physicians to look beyond the moment of a tweet and consider how your voice can contribute to a movement.
Acknowledgments
The authors thank Dr Vineet Arora for her contribution to early concept development for this manuscript and the JHM editorial staff for their productive feedback and editorial comments.
“We, the members of the world community of physicians, solemnly commit ourselves to . . . advocate for social, economic, educational and political changes that ameliorate suffering and contribute to human well-being.”
— American Medical Association Oath of Professional Responsibility. 1
As individuals and groups spread misinformation on social media platforms, there is a greater need for physician health advocacy.2 We have learned through the COVID-19 pandemic that rapidly evolving information requires public-facing health experts to address misinformation and explain why healthcare providers and experts make certain recommendations.2 Physicians recognize the potential for benefit from crowdsourcing education, positive publicity, and increasing their reach to a larger platform.3
However, despite social media’s need for such expertise and these recognized benefits, many physicians are hesitant to engage on social media, citing lack of time, interest, or the proper skill set to use it effectively.3 Additional barriers may include uncertainty about employer policies, fear of saying something inaccurate or unprofessional, or inadvertently breaching patient privacy.3 While these are valid concerns, a strategic approach to curating a social media presence focuses less on the moments created by provocative tweets and more on the movement the author wishes to amplify. Here, we propose a framework for effective physician advocacy using a strategy we term Mission-Based Tweeting (MBT).
MISSION-BASED TWEETING
Physicians can use Twitter to engage large audiences.4 MBT focuses an individual’s central message by providing a framework upon which to build such engagement.5 The conceptual framework for a meaningful social media strategy through MBT is anchored on the principle that the impact of our Twitter content is more valuable than the number of followers.6 Using this framework, users begin by creating and defining their identity while engaging in meaningful online interactions. Over time, these interactions will lead to generating influence related to their established identity, which can ultimately impact the social micro-society.6 While an individual’s social media impact can be determined and reinforced through MBT, it remains important to know that MBT is not exemplified in one specific tweet, but rather in the body of work shared by an individual that continuously reinforces the mission.
TWEETING FOR THE MOMENT VS FOR THE MOVEMENT: USING MBT FOR ADVOCACY
Advocacy typically involves using one’s voice to publicly support a specific interest. With that in mind, health advocacy can be divided into two categories: (1) agency, which involves advancing the health of individual patients within a system, and (2) activism, which acts to advance the health of communities or populations or change the structure of the healthcare system.7 While many physicians accept agency as part of their day-to-day job, activism is often more difficult. For example, physicians hoping to engage in health advocacy may be unable to travel to their state or federal legislature buildings, or their employers may restrict their ability to interact with elected officials. The emergence of social media and digital technology has lowered these barriers and created more accessible opportunities for physicians to engage in advocacy efforts.
Social media can provide an opportunity for clinicians to engage with other healthcare professionals, creating movements that have far-reaching effects across the healthcare spectrum. These movements, often driven by common hashtags, have expanded greatly beyond their originators’ intent, thus demonstrating the power of social media for healthcare activism (Table).4 Physician advocacy can provide accurate information about medical conditions and treatments, dispel myths that may affect patient care, and draw attention to conditions that impact their ability to provide that care. For instance, physicians and medical students recently used Twitter during the COVID-19 pandemic to focus on the real consequences of lack of access to personal protective equipment during the pandemic (Table).8,9 In the past year, physicians have used Twitter to highlight how structural racism perpetuates racial disparities in COVID-19 and to call for action against police brutality and the killing of unarmed Black citizens. Such activism has led to media appearances and even congressional testimony—which has, in turn, provided even larger audiences for clinicians’ advocacy efforts.10 Physicians can also use MBT to advocate for the medical profession. Strategic, mission-based, social media campaigns have focused on including women; Black, Indigenous, and People of Color (BIPOC); doctors with disabilities; and LGBTQ+ physicians in the narrative of what a doctor looks like (Table).11,12
When physicians consider their personal mission statement as it applies to their social media presence, it allows them to connect to something bigger than themselves, while helping guide them away from engagements that do not align with their personal or professional values. In this manner, MBT harnesses an individual’s authenticity and helps build their personal branding, which may ultimately result in more opportunities to advance their mission. In our experience, the constant delivery of mission-based content can even accelerate one’s professional work, help amplify others’ successes and voices, and ultimately lead to more meaningful engagement and activism.
However, it is important to note that there are potential downsides to engaging on social media, particularly for women and BIPOC users. For example, in a recent online survey, almost a quarter of physicians who responded reported personal attacks on social media, with one in six female physicians reporting sexual harassment.13 This risk may increase as an individual’s visibility and reach increase.
DEVELOP YOUR MISSION STATEMENT
To aid in MBT, we have found it useful to define your personal mission statement, which should succinctly describe your core values, the specific population or cause you serve, and your overarching goals or ideals. For example, someone interested in advocating for health justice might have the following mission statement: “To create and support a healthcare workforce and graduate medical education environment that strives for excellence and values Inclusion, Diversity, Access, and Equity as not only important, but necessary, for excellence.”14 Developing a personal mission statement permits more focus in all activities, including clinical, educational, administrative, or scholarship, and allows one to succinctly communicate important values with others.15 Communicating your personal mission statement concisely can improve the quality of your interactions with others and allows you to more precisely define the qualitative and quantitative impact of your social media engagement.
ENGAGING TO AMPLIFY YOUR MISSION
There are several options for creating and delivering effective mission-driven content on Twitter.16 We propose the Five A’s of MBT (Authenticity is key, Amplify other voices, Accelerate your work, Avoid arguments, Always be professional) to provide a general guide to ensuring that your tweets honor your mission (Figure). While each factor is important, we consider authenticity the most important as it guides consistency of the message, addresses your mission, and invites discussion. In this manner, even when physicians tweet about lived experiences or scientific data that may make some individuals uncomfortable, authenticity can still lead to meaningful engagement.17
There is synergy between amplifying other voices and accelerating your own work, as both provide an opportunity to highlight your specific advocacy interest. In the earlier example, the physician advocating for health justice may create a thread highlighting inequities in COVID-19 vaccination, including their own data and that of other health justice scholars, and in doing so, provide an invaluable repository of references or speakers for a future project.
We caution that not everyone will agree with your mission, so avoiding arguments and remaining professional in these interactions is paramount. Furthermore, it is also possible that a physician’s mission and opinions may not align with those of their employer, so it is important for social media users to review and clarify their employer’s social media policies to avoid violations and related repercussions. Physicians should tweet as if they were speaking into a microphone on the record, and authenticity should ground them into projecting the same personality online as they would offline.
CONCLUSION
We believe that, by the very nature of their chosen careers, physicians should step into the tension of advocacy. We acknowledge that physicians who are otherwise vocal advocates in other areas of life may be reluctant to engage on social media. However, if the measure of “success” on Twitter is meaningful interaction, sharing knowledge, and amplifying other voices according to a specific personal mission, MBT can be a useful framework. This is a call to action for hesitant physicians to take a leap and explore this platform, and for those already using social media to reevaluate their use and reflect on their mission. Physicians have been gifted a megaphone that can be used to combat misinformation, advocate for patients and the healthcare community, and advance needed discussions to benefit those in society who cannot speak for themselves. We advocate for physicians to look beyond the moment of a tweet and consider how your voice can contribute to a movement.
Acknowledgments
The authors thank Dr Vineet Arora for her contribution to early concept development for this manuscript and the JHM editorial staff for their productive feedback and editorial comments.
1. Riddick FA Jr. The code of medical ethics of the American Medical Association. Ochsner J. 2003;5(2):6-10. https://doi.org/10.3201/eid2702.203139
2. Vraga EK, Bode L. Addressing COVID-19 misinformation on social media preemptively and responsively. Emerg Infect Dis. 2021;27(2):396-403. https://doi.org/10.3201/eid2702.203139
3. Campbell L, Evans Y, Pumper M, Moreno MA. Social media use by physicians: a qualitative study of the new frontier of medicine. BMC Med Inform Decis Mak. 2016;16:91. https://doi.org/10.1186/s12911-016-0327-y
4. Wetsman N. How Twitter is changing medical research. Nat Med. 2020;26(1):11-13. https://doi.org/10.1038/s41591-019-0697-7
5. Shapiro M. Episode 107: Vinny Arora & Charlie Wray on Social Media & CVs. Explore The Space Podcast. https://www.explorethespaceshow.com/podcasting/vinny-arora-charlie-wray-on-cvs-social-media/
6. Varghese T. i4 (i to the 4th) is a strategy for #SoMe. Accessed April 22, 2021. https://twitter.com/TomVargheseJr/status/1027181443712081920?s=20
7. Dobson S, Voyer S, Regehr G. Perspective: agency and activism: rethinking health advocacy in the medical profession. Acad Med. 2012;87(9):1161-1164. https://doi.org/10.1097/ACM.0b013e3182621c25
8. #GetMePPE. Accessed April 22, 2021. https://twitter.com/hashtag/getmeppe?f=live
9. Ouyang H. At the front lines of coronavirus, turning to social media. The New York Times. March 18, 2020. Accessed April 22, 2021. https://www.nytimes.com/2020/03/18/well/live/coronavirus-doctors-facebook-twitter-social-media-covid.html
10. Blackstock U. Combining social media advocacy with health policy advocacy. Accessed April 22, 2021. https://twitter.com/uche_blackstock/status/1270413367761666048?s=20
11. Meeks LM, Liao P, Kim N. Using Twitter to promote awareness of disabilities in medicine. Med Educ. 2019;53(5):525-526. https://doi.org/10.1111/medu.13836
12. Nolen L. To all the little brown girls out there “you can’t be what you can’t see but I hope you see me now and that you see yourself in me.” Accessed April 22, 2021. https://twitter.com/LashNolen/status/1160901502266777600?s=20.
13. Pendergrast TR, Jain S, Trueger NS, Gottlieb M, Woitowich NC, Arora VM. Prevalence of personal attacks and sexual harassment of physicians on social media. JAMA Intern Med. 2021;181(4):550-552. https://doi.org/10.1001/jamainternmed.2020.7235
14. Marcelin JR. Personal mission statement. Accessed July 6, 2021. https://www.unmc.edu/intmed/residencies-fellowships/residency/diverse-taskforce/index.html.
15. Li S-TT, Frohna JG, Bostwick SB. Using your personal mission statement to INSPIRE and achieve success. Acad Pediatr. 2017;17(2):107-109. https://doi.org/10.1016/j.acap.2016.11.010
16. Alton L. 7 tips for creating engaging content every day. Accessed April 22, 2021. https://business.twitter.com/en/blog/7-tips-creating-engaging-content-every-day.html
17. Boyd R. Is everyone reading this??! Accessed April 22, 2021. https://twitter.com/RheaBoydMD/status/1273006362679578625?s=20
1. Riddick FA Jr. The code of medical ethics of the American Medical Association. Ochsner J. 2003;5(2):6-10. https://doi.org/10.3201/eid2702.203139
2. Vraga EK, Bode L. Addressing COVID-19 misinformation on social media preemptively and responsively. Emerg Infect Dis. 2021;27(2):396-403. https://doi.org/10.3201/eid2702.203139
3. Campbell L, Evans Y, Pumper M, Moreno MA. Social media use by physicians: a qualitative study of the new frontier of medicine. BMC Med Inform Decis Mak. 2016;16:91. https://doi.org/10.1186/s12911-016-0327-y
4. Wetsman N. How Twitter is changing medical research. Nat Med. 2020;26(1):11-13. https://doi.org/10.1038/s41591-019-0697-7
5. Shapiro M. Episode 107: Vinny Arora & Charlie Wray on Social Media & CVs. Explore The Space Podcast. https://www.explorethespaceshow.com/podcasting/vinny-arora-charlie-wray-on-cvs-social-media/
6. Varghese T. i4 (i to the 4th) is a strategy for #SoMe. Accessed April 22, 2021. https://twitter.com/TomVargheseJr/status/1027181443712081920?s=20
7. Dobson S, Voyer S, Regehr G. Perspective: agency and activism: rethinking health advocacy in the medical profession. Acad Med. 2012;87(9):1161-1164. https://doi.org/10.1097/ACM.0b013e3182621c25
8. #GetMePPE. Accessed April 22, 2021. https://twitter.com/hashtag/getmeppe?f=live
9. Ouyang H. At the front lines of coronavirus, turning to social media. The New York Times. March 18, 2020. Accessed April 22, 2021. https://www.nytimes.com/2020/03/18/well/live/coronavirus-doctors-facebook-twitter-social-media-covid.html
10. Blackstock U. Combining social media advocacy with health policy advocacy. Accessed April 22, 2021. https://twitter.com/uche_blackstock/status/1270413367761666048?s=20
11. Meeks LM, Liao P, Kim N. Using Twitter to promote awareness of disabilities in medicine. Med Educ. 2019;53(5):525-526. https://doi.org/10.1111/medu.13836
12. Nolen L. To all the little brown girls out there “you can’t be what you can’t see but I hope you see me now and that you see yourself in me.” Accessed April 22, 2021. https://twitter.com/LashNolen/status/1160901502266777600?s=20.
13. Pendergrast TR, Jain S, Trueger NS, Gottlieb M, Woitowich NC, Arora VM. Prevalence of personal attacks and sexual harassment of physicians on social media. JAMA Intern Med. 2021;181(4):550-552. https://doi.org/10.1001/jamainternmed.2020.7235
14. Marcelin JR. Personal mission statement. Accessed July 6, 2021. https://www.unmc.edu/intmed/residencies-fellowships/residency/diverse-taskforce/index.html.
15. Li S-TT, Frohna JG, Bostwick SB. Using your personal mission statement to INSPIRE and achieve success. Acad Pediatr. 2017;17(2):107-109. https://doi.org/10.1016/j.acap.2016.11.010
16. Alton L. 7 tips for creating engaging content every day. Accessed April 22, 2021. https://business.twitter.com/en/blog/7-tips-creating-engaging-content-every-day.html
17. Boyd R. Is everyone reading this??! Accessed April 22, 2021. https://twitter.com/RheaBoydMD/status/1273006362679578625?s=20
© 2021 Society of Hospital Medicine
A Short-Lived Crisis
A 79-year-old woman presented to the emergency department with 1 day of nausea and vomiting. On the morning of presentation, she felt mild cramping in her legs and vomited twice. She denied chest or back pain, dyspnea, diaphoresis, cough, fever, dysuria, headache, and abdominal pain. Her medical history included hypertension, osteoporosis, and a right-sided acoustic neuroma treated with radiation 12 years prior. One month before this presentation, type 2 diabetes mellitus was diagnosed (hemoglobin A1c level, 7.3%) on routine testing by her primary care physician. Her medications were losartan and alendronate. She was born in China and immigrated to the United States 50 years prior. Her husband was chronically ill with several recent hospitalizations.
Nausea and vomiting are nonspecific symptoms that can arise from systemic illness, including hyperglycemia, a drug/toxin effect, or injury/inflammation of the gastrointestinal, central nervous system, or cardiovascular systems. An acoustic neuroma recurrence or malignancy in the radiation field could trigger nausea. Muscle cramping could arise from myositis or from hypokalemia secondary to vomiting. Her husband’s recent hospitalizations add an important psychosocial dimension to her care and should prompt consideration of a shared illness depending on the nature of his illness.
The patient’s temperature was 36.7 °C; heart rate, 99 beats per minute; blood pressure, 94/58 mm Hg;respiratory rate, 16 breaths per minute; and oxygen saturation, 98% while breathing room air. Her body mass index (BMI) was 18.7 kg/m2. She appeared comfortable. The heart, lung, jugular venous, and abdominal examinations were normal. She had no lower extremity edema or muscle tenderness.
The white blood cell (WBC) count was 14,500/µL (81% neutrophils, 9% lymphocytes, 8% monocytes), hemoglobin level was 17.5 g/dL (elevated from 14.2 g/dL 8 weeks prior), and platelet count was 238,000/µL. The metabolic panel revealed the following values: sodium, 139 mmol/L; potassium, 5.1 mmol/L; chloride, 96 mmol/L; bicarbonate, 17 mmol/L; blood urea nitrogen, 40 mg/dL; creatinine, 2.2 mg/dL (elevated from 0.7 mg/dL 8 weeks prior); glucose, 564 mg/dL; aspartate transaminase, 108 U/L; alanine transaminase, 130 U/L; total bilirubin, 0.6 mg/dL; and alkaline phosphatase, 105 U/L. Creatine kinase, amylase, and lipase levels were not measured. The urinalysis showed trace ketones, protein 100 mg/dL, glucose >500 mg/dL, and <5 WBCs per high-power field. The venous blood gas demonstrated a pH of 7.20 and lactate level of 13.2 mmol/L. Serum beta-hydroxybutyrate level was 0.27 mmol/L (reference range, 0.02-0.27), serum troponin I level was 8.5 µg/L (reference range, <0.05), and
Chest x-ray showed bilateral perihilar opacities with normal heart size. Electrocardiogram (ECG) revealed new ST-segment depressions in the anterior precordial leads (Figure 1).
Her hypotension may signal septic, cardiogenic, or hypovolemic shock. The leukocytosis, anion gap acidosis, acute kidney injury, and elevated lactate are compatible with sepsis, although there is no identified source of infection. Although diabetic ketoacidosis (DKA) can explain many of these findings, the serum beta-hydroxybutyrate and urine ketones are lower than expected for that condition. Her low-normal BMI makes significant insulin resistance less likely and raises concern about pancreatic adenocarcinoma as a secondary cause of diabetes.
The nausea, ST depressions, elevated troponin and B-type natriuretic peptide levels, and bilateral infiltrates suggest acute coronary syndrome (ACS), complicated by acute heart failure leading to systemic hypoperfusion and associated lactic acidosis and kidney injury. Nonischemic causes of myocardial injury, such as sepsis, myocarditis, and stress cardiomyopathy, should also be considered. Alternatively, she could be experiencing multiorgan injury from widespread embolism (eg, endocarditis), thrombosis (eg, antiphospholipid syndrome), or inflammation (eg, vasculitis). Acute pancreatitis can cause acute hyperglycemia and multisystem disease, but she did not have abdominal pain or tenderness (and her lipase level was not measured). Treatment should include intravenous insulin, intravenous fluids (trying to balance possible sepsis or DKA with heart failure), medical management for non-ST elevation myocardial infarction (NSTEMI), and empiric antibiotics.
ACS was diagnosed, and aspirin, atorvastatin, clopidogrel, and heparin were prescribed. Insulin infusion and intravenous fluids (approximately 3 L overnight) were administered for hyperglycemia (and possible early DKA). On the night of admission, the patient became profoundly diaphoretic without fevers; the WBC count rose to 24,200/µL. Vancomycin and ertapenem were initiated for possible sepsis. Serum troponin I level increased to 11.9 µg/L; the patient did not have chest pain, and the ECG was unchanged.
The next morning, the patient reported new mild diffuse abdominal pain and had mild epigastric tenderness. The WBC count was 28,900/µL; hemoglobin, 13.2 g/dL; venous pH, 7.39; lactate, 2.9 mmol/L; lipase, 48 U/L; aspartate transaminase, 84 U/L; alanine transaminase, 72 U/L; total bilirubin, 0.7 mg/dL; alkaline phosphatase, 64 U/L; and creatinine, 1.2 mg/dL.
Her rising troponin without dynamic ECG changes makes the diagnosis of ACS less likely, although myocardial ischemia can present as abdominal pain. Other causes of myocardial injury to consider (in addition to the previously mentioned sepsis, myocarditis, and stress cardiomyopathy) are pulmonary embolism and proximal aortic dissection. The latter can lead to ischemia in multiple systems (cardiac, mesenteric, renal, and lower extremity, recalling her leg cramps on admission).
The leukocytosis and lactic acidosis in the setting of new abdominal pain raises the question of mesenteric ischemia or intra-abdominal sepsis. Her hemoglobin has decreased by 4 g, and while some of the change may be dilutional, it will be important to consider hemolysis (less likely with a normal bilirubin) or gastrointestinal bleeding (given current anticoagulant and antiplatelet therapy). An echocardiogram and computed tomography (CT) angiogram of the chest, abdomen, and pelvis are indicated to evaluate the vasculature and assess for intra-abdominal pathology.
Coronary angiography revealed a 40% stenosis in the proximal right coronary artery and no other angiographically significant disease; the left ventricular end-diastolic pressure (LVEDP) was 30 mm Hg. Transthoracic echocardiography demonstrated normal left ventricular size, left ventricular ejection fraction of 65% to 70%, impaired left ventricular relaxation, and an inferior vena cava <2 cm in diameter that collapsed with inspiration.
The angiogram shows modest coronary artery disease and points away from plaque rupture as the cause of myocardial injury. Another important consideration given her husband’s recurrent illness is stress cardiomyopathy, but she does not have the typical apical ballooning or left ventricular dysfunction. The increased LVEDP with normal left ventricular size and function with elevated filling pressures is consistent with left-sided heart failure with preserved ejection fraction. Cardiac magnetic resonance imaging could exclude an infiltrative disorder leading to diastolic dysfunction or a myocarditis that explains the troponin elevation, but both diagnoses seem unlikely.
CT of the abdomen and pelvis demonstrated a heterogeneous 3-cm mass in the left adrenal gland (Figure 2).
An adrenal mass could be a functional or nonfunctional adenoma, primary adrenal carcinoma, a metastatic malignancy, or granulomatous infection such as tuberculosis. Secretion of excess glucocorticoid, mineralocorticoid, or catecholamine should be evaluated.
Cushing syndrome could explain her hyperglycemia, leukocytosis, and heart failure (mediated by the increased risk of atherosclerosis and hypertension with hypercortisolism), although her low BMI is atypical. Primary hyperaldosteronism causes hypertension but does not cause an acute multisystem disease. Pheochromocytoma could account for the diaphoresis, hypertension, hyperglycemia, leukocytosis, and cardiac injury. A more severe form—pheochromocytoma crisis—is characterized by widespread end-organ damage, including cardiomyopathy, bowel ischemia, hepatitis, hyperglycemia with ketoacidosis, and lactic acidosis. Measurement of serum cortisol and plasma and urine fractionated metanephrines, and a dexamethasone suppression test can determine whether the adrenal mass is functional.
The intravenous insulin infusion was changed to subcutaneous dosing on hospital day 2. She had no further nausea, diaphoresis, or abdominal pain, was walking around the hospital unit unassisted, and was consuming a regular diet. By hospital day 3, insulin was discontinued. The patient remained euglycemic for the remainder of her hospitalization; hemoglobin A1c value was 7.0%. Blood cultures were sterile, and the WBC count was 12,000/µL. Thyroid-stimulating hormone level was 0.31 mIU/L (reference range, 0.45-4.12), and the free thyroxine level was 12 pmol/L (reference range, 10-18). Antibiotics were discontinued. She remained euvolemic and never required diuretic therapy. The acute myocardial injury and diastolic dysfunction were attributed to an acute stress cardiomyopathy arising from the strain of her husband’s declining health. She was discharged on hospital day 5 with aspirin, atorvastatin, metoprolol, lisinopril, and outpatient follow-up.
The rapid resolution of her multisystem process suggests a self-limited process or successful treatment of the underlying cause. Although she received antibiotics, a bacterial infection never manifested. Cardiomyopathy with a high troponin level, ECG changes, and early heart failure often requires aggressive supportive measures, which were not required here. The rapid cessation of hyperglycemia and an insulin requirement within 1 day is atypical for DKA.
Pheochromocytoma is a rare secondary cause of diabetes in which excess catecholamines cause insulin resistance and suppress insulin release. It can explain both the adrenal mass and, in the form of pheochromocytoma crisis, the severe multisystem injury. However, the patient’s hypotension (which could be explained by concomitant cardiomyopathy) and older age are not typical for pheochromocytoma.
Results of testing for adrenal biomarkers, which were sent during her hospitalization, returned several days after hospital discharge. The plasma free metanephrine level was 687 pg/mL (reference range, <57) and the plasma free normetanephrine level was 508 pg/mL (reference range, <148). Metoprolol was discontinued by her primary care physician.
Elevated plasma free metanephrine and normetanephrine levels were confirmed in the endocrinology clinic 3 weeks later. The 24-hour urine metanephrine level was 1497 µg/24 hours (reference range, 90-315), and the 24-hour urine normetanephrine level was 379 µg/24 hours (reference range, 122-676). Serum aldosterone level was 8 ng/dL (reference range, 3-16), and morning cortisol level was 8 µg/dL (reference range, 4-19). Lisinopril was discontinued, and phenoxybenzamine was prescribed.
Adrenal-protocol CT of the abdomen demonstrated that the left adrenal mass was enhanced by contrast without definite washout, which could be consistent with a pheochromocytoma.
The diagnosis of pheochromocytoma has been confirmed by biochemistry and imaging. It was appropriate to stop metoprolol, as β-blockade can lead to unopposed α-receptor agonism and hypertension. Implementation of α-blockade with phenoxybenzamine and endocrine surgery referral are indicated.
On the day she intended to fill a phenoxybenzamine prescription, the patient experienced acute generalized weakness and presented to the emergency department with hyperglycemia (glucose, 661 mg/dL), acute kidney injury (creatinine, 1.6 mg/dL), troponin I elevation (0.14 µg/L), and lactic acidosis (4.7 mmol/L). She was admitted to the hospital and rapidly improved with intravenous fluids and insulin. Phenoxybenzamine 10 mg daily was administered, and she was discharged on hospital day 2. The dosage of phenoxybenzamine was gradually increased over 2 months.
Laparoscopic left adrenalectomy was performed, with removal of a 3-cm mass. The pathologic findings confirmed the diagnosis of pheochromocytoma. Two months later she felt well. Her hypertension was controlled with lisinopril 10 mg daily. Transthoracic echocardiography 3 months after adrenalectomy demonstrated a left ventricular ejection fraction of 60% to 65%. Six months later, her hemoglobin A1c was 6.6%.
DISCUSSION
Pheochromocytoma is an abnormal growth of cells of chromaffin origin that arises in the adrenal medulla.1,2 The incidence of these often benign tumors is estimated to be 2 to 8 cases per million in the general population, and 2 to 6 per 1000 in adult patients with hypertension.1,3,4 Although clinicians commonly associate these catecholamine-secreting tumors with intermittent hypertension or diaphoresis, they have a wide spectrum of manifestations, which range from asymptomatic adrenal mass to acute multiorgan illness that mimics other life-threatening conditions. Common signs and symptoms of pheochromocytoma include hypertension (60%-70% incidence), headache (50%), diaphoresis (50%), and palpitations (50%-60%).4 The textbook triad of headache, sweating, and palpitations is seen in fewer than 25% of patients with pheochromocytoma; among unselected general medicine patients who have this triad, each symptom is often explained by a more common condition.1,4 Approximately 5% of adrenal “incidentalomas” are pheochromocytomas that are minimally symptomatic or asymptomatic.1,3 In a study of 102 patients who underwent pheochromocytoma resection, 33% were diagnosed during evaluation of an adrenal incidentaloma.5 At the other end of the spectrum is a pheochromocytoma crisis with its mimicry of ACS and sepsis, and manifestations including severe hyperglycemia, abdominal pain, acute heart failure, and syncope.2,5-9 Aside from chronic mild hypertension and a single episode of diaphoresis during admission, our patient had none of the classic signs or symptoms of pheochromocytoma. Rather, she presented with the abrupt onset of multiorgan injury.
Diagnostic evaluation for pheochromocytoma typically includes demonstration of elevated catecholamine byproducts (metanephrines) in plasma or urine and an adrenal mass on imaging.2,10 Biopsy is contraindicated because this can lead to release of catecholamines, which can trigger a pheochromocytoma crisis.5 The Endocrine Society guidelines recommend evaluating patients for pheochromocytoma who have: (1) a known or suspected genetic syndrome linked to pheochromocytoma (eg, multiple endocrine neoplasia type 2 or Von Hippel-Lindau syndrome), (2) an adrenal mass incidentally found on imaging, regardless of a history of hypertension, or (3) signs and symptoms of pheochromocytoma.3
Patients in pheochromocytoma crisis are typically very ill, requiring intensive care unit admission for hemodynamic stabilization.1,11 Initial management is typically directed at assessing and treating for common causes of systemic illness and hemodynamic instability, such as ACS and sepsis. Although some patients with pheochromocytoma crisis may have hemodynamic collapse requiring invasive circulatory support, others improve while receiving empiric treatment for mimicking conditions. Our patient had multiorgan injury and hemodynamic instability but returned to her preadmission state within 48 to 72 hours and remained stable after the withdrawal of all therapies, including insulin and antibiotics. This rapid improvement suggested a paroxysmal condition with an “on/off” capacity mediated by endogenous mediators. Once pheochromocytoma crisis is diagnosed, hemodynamic stabilization with α-adrenergic receptor blockade and intravascular volume repletion is essential. Confirmation of the diagnosis with repeat testing after hospital discharge is important because biochemical test results are less specific in the setting of acute illness. Surgery on an elective basis is the definitive treatment. Ongoing α-adrenergic receptor blockade is essential to minimize the risk of an intraoperative pheochromocytoma crisis (because of anesthesia or tumor manipulation) and prevent cardiovascular collapse after resection of tumor.11
Although the biochemical profile of a pheochromocytoma (eg, epinephrine predominant) is not tightly linked to the phenotype, the pattern of organ injury can reflect the pleotropic effects of specific catecholamines.12 While both norepinephrine and epinephrine bind the β1-adrenergic receptor with equal affinity, epinephrine has a higher affinity for the β2-adrenergic receptor. Our patient’s initial relative hypotension was likely caused by hypovolemia from decreased oral intake, vomiting, and hyperglycemia-mediated polyuria. However, β2-adrenergic receptor agonism could have caused vasodilation, and nocardiogenic hypotension has been observed with epinephrine-predominant pheochromocytomas.13 Several of the other clinical findings in this case can be explained by widespread β-adrenergic receptor agonism. Epinephrine (whether endogenously produced or exogenously administered) can lead to cardiac injury with elevated cardiac biomarkers.1,6,14 Epinephrine administration can cause leukocytosis, which is attributed to demargination of leukocyte subsets that express β2-adrenergic receptors.15,16 Lactic acidosis in the absence of tissue hypoxia (type B lactic acidosis) occurs during epinephrine infusions in healthy volunteers.17,18 Hyperglycemia from epinephrine infusions is attributed to β-adrenergic receptor stimulation causing increased gluconeogenesis and glycogenolysis and decreased insulin secretion and tissue glucose uptake.8 Resolution of hyperglycemia and diabetes is observed in the majority of patients after resection of pheochromocytoma, and hypoglycemia immediately after surgery is common, occasionally requiring glucose infusion.19,20
Pheochromocytomas are rare tumors with a wide range of manifestations that extend well beyond the classic triad. Pheochromocytomas can present as an asymptomatic adrenal mass with normal blood pressure, as new onset diabetes, or as multiorgan injury with cardiovascular collapse. Our patient suffered from two episodes of catecholamine excess that required hospitalization, but fortunately each proved to be a short-lived crisis.
TEACHING POINTS
- The classic triad of headache, sweating, and palpitations occurs in less than 25% of patients with pheochromocytoma; among unselected general medicine patients who have this triad, each symptom is usually explained by a common medical condition.
- The presentation of pheochromocytoma varies widely, from asymptomatic adrenal incidentaloma to pheochromocytoma crisis causing multiorgan dysfunction with hemodynamic instability and mimicry of common critical illnesses like ACS, DKA, and sepsis.
- Biochemical screening for pheochromocytoma is recommended when a patient has a known or suspected genetic syndrome linked to pheochromocytoma, an adrenal mass incidentally found on imaging regardless of blood pressure, or signs and symptoms of a pheochromocytoma.
1. Riester A, Weismann D, Quinkler M, et al. Life-threatening events in patients with pheochromocytoma. Eur J Endocrinol. 2015;173(6):757-764. https://doi.org/10.1530/eje-15-0483
2. Whitelaw BC, Prague JK, Mustafa OG, et al. Phaeochromocytoma [corrected] crisis. Clin Endocrinol (Oxf). 2014;80(1):13-22. https://doi.org/10.1111/cen.12324
3. Lenders JW, Duh QY, Eisenhofer G, et al; Endocrine Society. Pheochromocytoma and paraganglioma: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2014;99(6):1915-1942. https://doi.org/10.1210/jc.2014-1498
4. Reisch N, Peczkowska M, Januszewicz A, Neumann HP. Pheochromocytoma: presentation, diagnosis and treatment. J Hypertens. 2006;24(12):2331-2339. https://doi.org/10.1097/01.hjh.0000251887.01885.54
5. Shen WT, Grogan R, Vriens M, Clark OH, Duh QY. One hundred two patients with pheochromocytoma treated at a single institution since the introduction of laparoscopic adrenalectomy. Arch Surg. 2010;145(9):893-897. https://doi.org/10.1001/archsurg.2010.159
6. Giavarini A, Chedid A, Bobrie G, Plouin PF, Hagège A, Amar L. Acute catecholamine cardiomyopathy in patients with phaeochromocytoma or functional paraganglioma. Heart. 2013;99(14):1438-1444. https://doi.org/10.1136/heartjnl-2013-304073
7. Lee TW, Lin KH, Chang CJ, Lew WH, Lee TI. Pheochromocytoma mimicking both acute coronary syndrome and sepsis: a case report. Med Princ Pract. 2013;22(4):405-407. https://doi.org/10.1159/000343578
8. Mesmar B, Poola-Kella S, Malek R. The physiology behind diabetes mellitus in patients with pheochromocytoma: a review of the literature. Endocr Pract. 2017;23(8):999-1005. https://doi.org/10.4158/ep171914.ra
9. Ueda T, Oka N, Matsumoto A, et al. Pheochromocytoma presenting as recurrent hypotension and syncope. Intern Med. 2005;44(3):222-227. https://doi.org/10.2169/internalmedicine.44.222
10. Neumann HPH, Young WF Jr, Eng C. Pheochromocytoma and paraganglioma. N Engl J Med. 2019;381(6):552-565. https://doi.org/10.1056/nejmra1806651
11. Scholten A, Cisco RM, Vriens MR, et al. Pheochromocytoma crisis is not a surgical emergency. J Clin Endocrinol Metab. 2013;98(2):581-591. https://doi.org/10.1210/jc.2012-3020
12. Pacak K. Phaeochromocytoma: a catecholamine and oxidative stress disorder. Endocr Regul. 2011;45:65-90.
13. Baxter MA, Hunter P, Thompson GR, London DR. Phaeochromocytomas as a cause of hypotension. Clin Endocrinol (Oxf). 1992;37(3):304-306. https://doi.org/10.1111/j.1365-2265.1992.tb02326.x
14. Campbell RL, Bellolio MF, Knutson BD, et al. Epinephrine in anaphylaxis: higher risk of cardiovascular complications and overdose after administration of intravenous bolus epinephrine compared with intramuscular epinephrine. J Allergy Clin Immunol Pract. 2015;3(1):76-80. https://doi.org/10.1016/j.jaip.2014.06.007
15. Benschop RJ, Rodriguez-Feuerhahn M, Schedlowski M. Catecholamine-induced leukocytosis: early observations, current research, and future directions. Brain Behav Immun. 1996;10(2):77-91. https://doi.org/10.1006/brbi.1996.0009
16. Dimitrov S, Lange T, Born J. Selective mobilization of cytotoxic leukocytes by epinephrine. J Immunol. 2010;184(1):503-511. https://doi.org/10.4049/jimmunol.0902189
17. Andersen LW, Mackenhauer J, Roberts JC, Berg KM, Cocchi MN, Donnino MW. Etiology and therapeutic approach to elevated lactate levels. Mayo Clin Proc. 2013;88(10):1127-1140. https://doi.org/10.1016/j.mayocp.2013.06.012
18. Levy B. Bench-to-bedside review: is there a place for epinephrine in septic shock? Crit Care. 2005;9(6):561-565. https://doi.org/10.1186/cc3901
19. Chen Y, Hodin RA, Pandolfi C, Ruan DT, McKenzie TJ. Hypoglycemia after resection of pheochromocytoma. Surgery. 2014;156:1404-1408; discussion 1408-1409. https://doi.org/10.1016/j.surg.2014.08.020
20. Pogorzelski R, Toutounchi S, Krajewska E, et al. The effect of surgical treatment of phaeochromocytoma on concomitant arterial hypertension and diabetes mellitus in a single-centre retrospective study. Cent European J Urol. 2014;67(4):361-365. https://doi.org/10.5173/ceju.2014.04.art9
A 79-year-old woman presented to the emergency department with 1 day of nausea and vomiting. On the morning of presentation, she felt mild cramping in her legs and vomited twice. She denied chest or back pain, dyspnea, diaphoresis, cough, fever, dysuria, headache, and abdominal pain. Her medical history included hypertension, osteoporosis, and a right-sided acoustic neuroma treated with radiation 12 years prior. One month before this presentation, type 2 diabetes mellitus was diagnosed (hemoglobin A1c level, 7.3%) on routine testing by her primary care physician. Her medications were losartan and alendronate. She was born in China and immigrated to the United States 50 years prior. Her husband was chronically ill with several recent hospitalizations.
Nausea and vomiting are nonspecific symptoms that can arise from systemic illness, including hyperglycemia, a drug/toxin effect, or injury/inflammation of the gastrointestinal, central nervous system, or cardiovascular systems. An acoustic neuroma recurrence or malignancy in the radiation field could trigger nausea. Muscle cramping could arise from myositis or from hypokalemia secondary to vomiting. Her husband’s recent hospitalizations add an important psychosocial dimension to her care and should prompt consideration of a shared illness depending on the nature of his illness.
The patient’s temperature was 36.7 °C; heart rate, 99 beats per minute; blood pressure, 94/58 mm Hg;respiratory rate, 16 breaths per minute; and oxygen saturation, 98% while breathing room air. Her body mass index (BMI) was 18.7 kg/m2. She appeared comfortable. The heart, lung, jugular venous, and abdominal examinations were normal. She had no lower extremity edema or muscle tenderness.
The white blood cell (WBC) count was 14,500/µL (81% neutrophils, 9% lymphocytes, 8% monocytes), hemoglobin level was 17.5 g/dL (elevated from 14.2 g/dL 8 weeks prior), and platelet count was 238,000/µL. The metabolic panel revealed the following values: sodium, 139 mmol/L; potassium, 5.1 mmol/L; chloride, 96 mmol/L; bicarbonate, 17 mmol/L; blood urea nitrogen, 40 mg/dL; creatinine, 2.2 mg/dL (elevated from 0.7 mg/dL 8 weeks prior); glucose, 564 mg/dL; aspartate transaminase, 108 U/L; alanine transaminase, 130 U/L; total bilirubin, 0.6 mg/dL; and alkaline phosphatase, 105 U/L. Creatine kinase, amylase, and lipase levels were not measured. The urinalysis showed trace ketones, protein 100 mg/dL, glucose >500 mg/dL, and <5 WBCs per high-power field. The venous blood gas demonstrated a pH of 7.20 and lactate level of 13.2 mmol/L. Serum beta-hydroxybutyrate level was 0.27 mmol/L (reference range, 0.02-0.27), serum troponin I level was 8.5 µg/L (reference range, <0.05), and
Chest x-ray showed bilateral perihilar opacities with normal heart size. Electrocardiogram (ECG) revealed new ST-segment depressions in the anterior precordial leads (Figure 1).
Her hypotension may signal septic, cardiogenic, or hypovolemic shock. The leukocytosis, anion gap acidosis, acute kidney injury, and elevated lactate are compatible with sepsis, although there is no identified source of infection. Although diabetic ketoacidosis (DKA) can explain many of these findings, the serum beta-hydroxybutyrate and urine ketones are lower than expected for that condition. Her low-normal BMI makes significant insulin resistance less likely and raises concern about pancreatic adenocarcinoma as a secondary cause of diabetes.
The nausea, ST depressions, elevated troponin and B-type natriuretic peptide levels, and bilateral infiltrates suggest acute coronary syndrome (ACS), complicated by acute heart failure leading to systemic hypoperfusion and associated lactic acidosis and kidney injury. Nonischemic causes of myocardial injury, such as sepsis, myocarditis, and stress cardiomyopathy, should also be considered. Alternatively, she could be experiencing multiorgan injury from widespread embolism (eg, endocarditis), thrombosis (eg, antiphospholipid syndrome), or inflammation (eg, vasculitis). Acute pancreatitis can cause acute hyperglycemia and multisystem disease, but she did not have abdominal pain or tenderness (and her lipase level was not measured). Treatment should include intravenous insulin, intravenous fluids (trying to balance possible sepsis or DKA with heart failure), medical management for non-ST elevation myocardial infarction (NSTEMI), and empiric antibiotics.
ACS was diagnosed, and aspirin, atorvastatin, clopidogrel, and heparin were prescribed. Insulin infusion and intravenous fluids (approximately 3 L overnight) were administered for hyperglycemia (and possible early DKA). On the night of admission, the patient became profoundly diaphoretic without fevers; the WBC count rose to 24,200/µL. Vancomycin and ertapenem were initiated for possible sepsis. Serum troponin I level increased to 11.9 µg/L; the patient did not have chest pain, and the ECG was unchanged.
The next morning, the patient reported new mild diffuse abdominal pain and had mild epigastric tenderness. The WBC count was 28,900/µL; hemoglobin, 13.2 g/dL; venous pH, 7.39; lactate, 2.9 mmol/L; lipase, 48 U/L; aspartate transaminase, 84 U/L; alanine transaminase, 72 U/L; total bilirubin, 0.7 mg/dL; alkaline phosphatase, 64 U/L; and creatinine, 1.2 mg/dL.
Her rising troponin without dynamic ECG changes makes the diagnosis of ACS less likely, although myocardial ischemia can present as abdominal pain. Other causes of myocardial injury to consider (in addition to the previously mentioned sepsis, myocarditis, and stress cardiomyopathy) are pulmonary embolism and proximal aortic dissection. The latter can lead to ischemia in multiple systems (cardiac, mesenteric, renal, and lower extremity, recalling her leg cramps on admission).
The leukocytosis and lactic acidosis in the setting of new abdominal pain raises the question of mesenteric ischemia or intra-abdominal sepsis. Her hemoglobin has decreased by 4 g, and while some of the change may be dilutional, it will be important to consider hemolysis (less likely with a normal bilirubin) or gastrointestinal bleeding (given current anticoagulant and antiplatelet therapy). An echocardiogram and computed tomography (CT) angiogram of the chest, abdomen, and pelvis are indicated to evaluate the vasculature and assess for intra-abdominal pathology.
Coronary angiography revealed a 40% stenosis in the proximal right coronary artery and no other angiographically significant disease; the left ventricular end-diastolic pressure (LVEDP) was 30 mm Hg. Transthoracic echocardiography demonstrated normal left ventricular size, left ventricular ejection fraction of 65% to 70%, impaired left ventricular relaxation, and an inferior vena cava <2 cm in diameter that collapsed with inspiration.
The angiogram shows modest coronary artery disease and points away from plaque rupture as the cause of myocardial injury. Another important consideration given her husband’s recurrent illness is stress cardiomyopathy, but she does not have the typical apical ballooning or left ventricular dysfunction. The increased LVEDP with normal left ventricular size and function with elevated filling pressures is consistent with left-sided heart failure with preserved ejection fraction. Cardiac magnetic resonance imaging could exclude an infiltrative disorder leading to diastolic dysfunction or a myocarditis that explains the troponin elevation, but both diagnoses seem unlikely.
CT of the abdomen and pelvis demonstrated a heterogeneous 3-cm mass in the left adrenal gland (Figure 2).
An adrenal mass could be a functional or nonfunctional adenoma, primary adrenal carcinoma, a metastatic malignancy, or granulomatous infection such as tuberculosis. Secretion of excess glucocorticoid, mineralocorticoid, or catecholamine should be evaluated.
Cushing syndrome could explain her hyperglycemia, leukocytosis, and heart failure (mediated by the increased risk of atherosclerosis and hypertension with hypercortisolism), although her low BMI is atypical. Primary hyperaldosteronism causes hypertension but does not cause an acute multisystem disease. Pheochromocytoma could account for the diaphoresis, hypertension, hyperglycemia, leukocytosis, and cardiac injury. A more severe form—pheochromocytoma crisis—is characterized by widespread end-organ damage, including cardiomyopathy, bowel ischemia, hepatitis, hyperglycemia with ketoacidosis, and lactic acidosis. Measurement of serum cortisol and plasma and urine fractionated metanephrines, and a dexamethasone suppression test can determine whether the adrenal mass is functional.
The intravenous insulin infusion was changed to subcutaneous dosing on hospital day 2. She had no further nausea, diaphoresis, or abdominal pain, was walking around the hospital unit unassisted, and was consuming a regular diet. By hospital day 3, insulin was discontinued. The patient remained euglycemic for the remainder of her hospitalization; hemoglobin A1c value was 7.0%. Blood cultures were sterile, and the WBC count was 12,000/µL. Thyroid-stimulating hormone level was 0.31 mIU/L (reference range, 0.45-4.12), and the free thyroxine level was 12 pmol/L (reference range, 10-18). Antibiotics were discontinued. She remained euvolemic and never required diuretic therapy. The acute myocardial injury and diastolic dysfunction were attributed to an acute stress cardiomyopathy arising from the strain of her husband’s declining health. She was discharged on hospital day 5 with aspirin, atorvastatin, metoprolol, lisinopril, and outpatient follow-up.
The rapid resolution of her multisystem process suggests a self-limited process or successful treatment of the underlying cause. Although she received antibiotics, a bacterial infection never manifested. Cardiomyopathy with a high troponin level, ECG changes, and early heart failure often requires aggressive supportive measures, which were not required here. The rapid cessation of hyperglycemia and an insulin requirement within 1 day is atypical for DKA.
Pheochromocytoma is a rare secondary cause of diabetes in which excess catecholamines cause insulin resistance and suppress insulin release. It can explain both the adrenal mass and, in the form of pheochromocytoma crisis, the severe multisystem injury. However, the patient’s hypotension (which could be explained by concomitant cardiomyopathy) and older age are not typical for pheochromocytoma.
Results of testing for adrenal biomarkers, which were sent during her hospitalization, returned several days after hospital discharge. The plasma free metanephrine level was 687 pg/mL (reference range, <57) and the plasma free normetanephrine level was 508 pg/mL (reference range, <148). Metoprolol was discontinued by her primary care physician.
Elevated plasma free metanephrine and normetanephrine levels were confirmed in the endocrinology clinic 3 weeks later. The 24-hour urine metanephrine level was 1497 µg/24 hours (reference range, 90-315), and the 24-hour urine normetanephrine level was 379 µg/24 hours (reference range, 122-676). Serum aldosterone level was 8 ng/dL (reference range, 3-16), and morning cortisol level was 8 µg/dL (reference range, 4-19). Lisinopril was discontinued, and phenoxybenzamine was prescribed.
Adrenal-protocol CT of the abdomen demonstrated that the left adrenal mass was enhanced by contrast without definite washout, which could be consistent with a pheochromocytoma.
The diagnosis of pheochromocytoma has been confirmed by biochemistry and imaging. It was appropriate to stop metoprolol, as β-blockade can lead to unopposed α-receptor agonism and hypertension. Implementation of α-blockade with phenoxybenzamine and endocrine surgery referral are indicated.
On the day she intended to fill a phenoxybenzamine prescription, the patient experienced acute generalized weakness and presented to the emergency department with hyperglycemia (glucose, 661 mg/dL), acute kidney injury (creatinine, 1.6 mg/dL), troponin I elevation (0.14 µg/L), and lactic acidosis (4.7 mmol/L). She was admitted to the hospital and rapidly improved with intravenous fluids and insulin. Phenoxybenzamine 10 mg daily was administered, and she was discharged on hospital day 2. The dosage of phenoxybenzamine was gradually increased over 2 months.
Laparoscopic left adrenalectomy was performed, with removal of a 3-cm mass. The pathologic findings confirmed the diagnosis of pheochromocytoma. Two months later she felt well. Her hypertension was controlled with lisinopril 10 mg daily. Transthoracic echocardiography 3 months after adrenalectomy demonstrated a left ventricular ejection fraction of 60% to 65%. Six months later, her hemoglobin A1c was 6.6%.
DISCUSSION
Pheochromocytoma is an abnormal growth of cells of chromaffin origin that arises in the adrenal medulla.1,2 The incidence of these often benign tumors is estimated to be 2 to 8 cases per million in the general population, and 2 to 6 per 1000 in adult patients with hypertension.1,3,4 Although clinicians commonly associate these catecholamine-secreting tumors with intermittent hypertension or diaphoresis, they have a wide spectrum of manifestations, which range from asymptomatic adrenal mass to acute multiorgan illness that mimics other life-threatening conditions. Common signs and symptoms of pheochromocytoma include hypertension (60%-70% incidence), headache (50%), diaphoresis (50%), and palpitations (50%-60%).4 The textbook triad of headache, sweating, and palpitations is seen in fewer than 25% of patients with pheochromocytoma; among unselected general medicine patients who have this triad, each symptom is often explained by a more common condition.1,4 Approximately 5% of adrenal “incidentalomas” are pheochromocytomas that are minimally symptomatic or asymptomatic.1,3 In a study of 102 patients who underwent pheochromocytoma resection, 33% were diagnosed during evaluation of an adrenal incidentaloma.5 At the other end of the spectrum is a pheochromocytoma crisis with its mimicry of ACS and sepsis, and manifestations including severe hyperglycemia, abdominal pain, acute heart failure, and syncope.2,5-9 Aside from chronic mild hypertension and a single episode of diaphoresis during admission, our patient had none of the classic signs or symptoms of pheochromocytoma. Rather, she presented with the abrupt onset of multiorgan injury.
Diagnostic evaluation for pheochromocytoma typically includes demonstration of elevated catecholamine byproducts (metanephrines) in plasma or urine and an adrenal mass on imaging.2,10 Biopsy is contraindicated because this can lead to release of catecholamines, which can trigger a pheochromocytoma crisis.5 The Endocrine Society guidelines recommend evaluating patients for pheochromocytoma who have: (1) a known or suspected genetic syndrome linked to pheochromocytoma (eg, multiple endocrine neoplasia type 2 or Von Hippel-Lindau syndrome), (2) an adrenal mass incidentally found on imaging, regardless of a history of hypertension, or (3) signs and symptoms of pheochromocytoma.3
Patients in pheochromocytoma crisis are typically very ill, requiring intensive care unit admission for hemodynamic stabilization.1,11 Initial management is typically directed at assessing and treating for common causes of systemic illness and hemodynamic instability, such as ACS and sepsis. Although some patients with pheochromocytoma crisis may have hemodynamic collapse requiring invasive circulatory support, others improve while receiving empiric treatment for mimicking conditions. Our patient had multiorgan injury and hemodynamic instability but returned to her preadmission state within 48 to 72 hours and remained stable after the withdrawal of all therapies, including insulin and antibiotics. This rapid improvement suggested a paroxysmal condition with an “on/off” capacity mediated by endogenous mediators. Once pheochromocytoma crisis is diagnosed, hemodynamic stabilization with α-adrenergic receptor blockade and intravascular volume repletion is essential. Confirmation of the diagnosis with repeat testing after hospital discharge is important because biochemical test results are less specific in the setting of acute illness. Surgery on an elective basis is the definitive treatment. Ongoing α-adrenergic receptor blockade is essential to minimize the risk of an intraoperative pheochromocytoma crisis (because of anesthesia or tumor manipulation) and prevent cardiovascular collapse after resection of tumor.11
Although the biochemical profile of a pheochromocytoma (eg, epinephrine predominant) is not tightly linked to the phenotype, the pattern of organ injury can reflect the pleotropic effects of specific catecholamines.12 While both norepinephrine and epinephrine bind the β1-adrenergic receptor with equal affinity, epinephrine has a higher affinity for the β2-adrenergic receptor. Our patient’s initial relative hypotension was likely caused by hypovolemia from decreased oral intake, vomiting, and hyperglycemia-mediated polyuria. However, β2-adrenergic receptor agonism could have caused vasodilation, and nocardiogenic hypotension has been observed with epinephrine-predominant pheochromocytomas.13 Several of the other clinical findings in this case can be explained by widespread β-adrenergic receptor agonism. Epinephrine (whether endogenously produced or exogenously administered) can lead to cardiac injury with elevated cardiac biomarkers.1,6,14 Epinephrine administration can cause leukocytosis, which is attributed to demargination of leukocyte subsets that express β2-adrenergic receptors.15,16 Lactic acidosis in the absence of tissue hypoxia (type B lactic acidosis) occurs during epinephrine infusions in healthy volunteers.17,18 Hyperglycemia from epinephrine infusions is attributed to β-adrenergic receptor stimulation causing increased gluconeogenesis and glycogenolysis and decreased insulin secretion and tissue glucose uptake.8 Resolution of hyperglycemia and diabetes is observed in the majority of patients after resection of pheochromocytoma, and hypoglycemia immediately after surgery is common, occasionally requiring glucose infusion.19,20
Pheochromocytomas are rare tumors with a wide range of manifestations that extend well beyond the classic triad. Pheochromocytomas can present as an asymptomatic adrenal mass with normal blood pressure, as new onset diabetes, or as multiorgan injury with cardiovascular collapse. Our patient suffered from two episodes of catecholamine excess that required hospitalization, but fortunately each proved to be a short-lived crisis.
TEACHING POINTS
- The classic triad of headache, sweating, and palpitations occurs in less than 25% of patients with pheochromocytoma; among unselected general medicine patients who have this triad, each symptom is usually explained by a common medical condition.
- The presentation of pheochromocytoma varies widely, from asymptomatic adrenal incidentaloma to pheochromocytoma crisis causing multiorgan dysfunction with hemodynamic instability and mimicry of common critical illnesses like ACS, DKA, and sepsis.
- Biochemical screening for pheochromocytoma is recommended when a patient has a known or suspected genetic syndrome linked to pheochromocytoma, an adrenal mass incidentally found on imaging regardless of blood pressure, or signs and symptoms of a pheochromocytoma.
A 79-year-old woman presented to the emergency department with 1 day of nausea and vomiting. On the morning of presentation, she felt mild cramping in her legs and vomited twice. She denied chest or back pain, dyspnea, diaphoresis, cough, fever, dysuria, headache, and abdominal pain. Her medical history included hypertension, osteoporosis, and a right-sided acoustic neuroma treated with radiation 12 years prior. One month before this presentation, type 2 diabetes mellitus was diagnosed (hemoglobin A1c level, 7.3%) on routine testing by her primary care physician. Her medications were losartan and alendronate. She was born in China and immigrated to the United States 50 years prior. Her husband was chronically ill with several recent hospitalizations.
Nausea and vomiting are nonspecific symptoms that can arise from systemic illness, including hyperglycemia, a drug/toxin effect, or injury/inflammation of the gastrointestinal, central nervous system, or cardiovascular systems. An acoustic neuroma recurrence or malignancy in the radiation field could trigger nausea. Muscle cramping could arise from myositis or from hypokalemia secondary to vomiting. Her husband’s recent hospitalizations add an important psychosocial dimension to her care and should prompt consideration of a shared illness depending on the nature of his illness.
The patient’s temperature was 36.7 °C; heart rate, 99 beats per minute; blood pressure, 94/58 mm Hg;respiratory rate, 16 breaths per minute; and oxygen saturation, 98% while breathing room air. Her body mass index (BMI) was 18.7 kg/m2. She appeared comfortable. The heart, lung, jugular venous, and abdominal examinations were normal. She had no lower extremity edema or muscle tenderness.
The white blood cell (WBC) count was 14,500/µL (81% neutrophils, 9% lymphocytes, 8% monocytes), hemoglobin level was 17.5 g/dL (elevated from 14.2 g/dL 8 weeks prior), and platelet count was 238,000/µL. The metabolic panel revealed the following values: sodium, 139 mmol/L; potassium, 5.1 mmol/L; chloride, 96 mmol/L; bicarbonate, 17 mmol/L; blood urea nitrogen, 40 mg/dL; creatinine, 2.2 mg/dL (elevated from 0.7 mg/dL 8 weeks prior); glucose, 564 mg/dL; aspartate transaminase, 108 U/L; alanine transaminase, 130 U/L; total bilirubin, 0.6 mg/dL; and alkaline phosphatase, 105 U/L. Creatine kinase, amylase, and lipase levels were not measured. The urinalysis showed trace ketones, protein 100 mg/dL, glucose >500 mg/dL, and <5 WBCs per high-power field. The venous blood gas demonstrated a pH of 7.20 and lactate level of 13.2 mmol/L. Serum beta-hydroxybutyrate level was 0.27 mmol/L (reference range, 0.02-0.27), serum troponin I level was 8.5 µg/L (reference range, <0.05), and
Chest x-ray showed bilateral perihilar opacities with normal heart size. Electrocardiogram (ECG) revealed new ST-segment depressions in the anterior precordial leads (Figure 1).
Her hypotension may signal septic, cardiogenic, or hypovolemic shock. The leukocytosis, anion gap acidosis, acute kidney injury, and elevated lactate are compatible with sepsis, although there is no identified source of infection. Although diabetic ketoacidosis (DKA) can explain many of these findings, the serum beta-hydroxybutyrate and urine ketones are lower than expected for that condition. Her low-normal BMI makes significant insulin resistance less likely and raises concern about pancreatic adenocarcinoma as a secondary cause of diabetes.
The nausea, ST depressions, elevated troponin and B-type natriuretic peptide levels, and bilateral infiltrates suggest acute coronary syndrome (ACS), complicated by acute heart failure leading to systemic hypoperfusion and associated lactic acidosis and kidney injury. Nonischemic causes of myocardial injury, such as sepsis, myocarditis, and stress cardiomyopathy, should also be considered. Alternatively, she could be experiencing multiorgan injury from widespread embolism (eg, endocarditis), thrombosis (eg, antiphospholipid syndrome), or inflammation (eg, vasculitis). Acute pancreatitis can cause acute hyperglycemia and multisystem disease, but she did not have abdominal pain or tenderness (and her lipase level was not measured). Treatment should include intravenous insulin, intravenous fluids (trying to balance possible sepsis or DKA with heart failure), medical management for non-ST elevation myocardial infarction (NSTEMI), and empiric antibiotics.
ACS was diagnosed, and aspirin, atorvastatin, clopidogrel, and heparin were prescribed. Insulin infusion and intravenous fluids (approximately 3 L overnight) were administered for hyperglycemia (and possible early DKA). On the night of admission, the patient became profoundly diaphoretic without fevers; the WBC count rose to 24,200/µL. Vancomycin and ertapenem were initiated for possible sepsis. Serum troponin I level increased to 11.9 µg/L; the patient did not have chest pain, and the ECG was unchanged.
The next morning, the patient reported new mild diffuse abdominal pain and had mild epigastric tenderness. The WBC count was 28,900/µL; hemoglobin, 13.2 g/dL; venous pH, 7.39; lactate, 2.9 mmol/L; lipase, 48 U/L; aspartate transaminase, 84 U/L; alanine transaminase, 72 U/L; total bilirubin, 0.7 mg/dL; alkaline phosphatase, 64 U/L; and creatinine, 1.2 mg/dL.
Her rising troponin without dynamic ECG changes makes the diagnosis of ACS less likely, although myocardial ischemia can present as abdominal pain. Other causes of myocardial injury to consider (in addition to the previously mentioned sepsis, myocarditis, and stress cardiomyopathy) are pulmonary embolism and proximal aortic dissection. The latter can lead to ischemia in multiple systems (cardiac, mesenteric, renal, and lower extremity, recalling her leg cramps on admission).
The leukocytosis and lactic acidosis in the setting of new abdominal pain raises the question of mesenteric ischemia or intra-abdominal sepsis. Her hemoglobin has decreased by 4 g, and while some of the change may be dilutional, it will be important to consider hemolysis (less likely with a normal bilirubin) or gastrointestinal bleeding (given current anticoagulant and antiplatelet therapy). An echocardiogram and computed tomography (CT) angiogram of the chest, abdomen, and pelvis are indicated to evaluate the vasculature and assess for intra-abdominal pathology.
Coronary angiography revealed a 40% stenosis in the proximal right coronary artery and no other angiographically significant disease; the left ventricular end-diastolic pressure (LVEDP) was 30 mm Hg. Transthoracic echocardiography demonstrated normal left ventricular size, left ventricular ejection fraction of 65% to 70%, impaired left ventricular relaxation, and an inferior vena cava <2 cm in diameter that collapsed with inspiration.
The angiogram shows modest coronary artery disease and points away from plaque rupture as the cause of myocardial injury. Another important consideration given her husband’s recurrent illness is stress cardiomyopathy, but she does not have the typical apical ballooning or left ventricular dysfunction. The increased LVEDP with normal left ventricular size and function with elevated filling pressures is consistent with left-sided heart failure with preserved ejection fraction. Cardiac magnetic resonance imaging could exclude an infiltrative disorder leading to diastolic dysfunction or a myocarditis that explains the troponin elevation, but both diagnoses seem unlikely.
CT of the abdomen and pelvis demonstrated a heterogeneous 3-cm mass in the left adrenal gland (Figure 2).
An adrenal mass could be a functional or nonfunctional adenoma, primary adrenal carcinoma, a metastatic malignancy, or granulomatous infection such as tuberculosis. Secretion of excess glucocorticoid, mineralocorticoid, or catecholamine should be evaluated.
Cushing syndrome could explain her hyperglycemia, leukocytosis, and heart failure (mediated by the increased risk of atherosclerosis and hypertension with hypercortisolism), although her low BMI is atypical. Primary hyperaldosteronism causes hypertension but does not cause an acute multisystem disease. Pheochromocytoma could account for the diaphoresis, hypertension, hyperglycemia, leukocytosis, and cardiac injury. A more severe form—pheochromocytoma crisis—is characterized by widespread end-organ damage, including cardiomyopathy, bowel ischemia, hepatitis, hyperglycemia with ketoacidosis, and lactic acidosis. Measurement of serum cortisol and plasma and urine fractionated metanephrines, and a dexamethasone suppression test can determine whether the adrenal mass is functional.
The intravenous insulin infusion was changed to subcutaneous dosing on hospital day 2. She had no further nausea, diaphoresis, or abdominal pain, was walking around the hospital unit unassisted, and was consuming a regular diet. By hospital day 3, insulin was discontinued. The patient remained euglycemic for the remainder of her hospitalization; hemoglobin A1c value was 7.0%. Blood cultures were sterile, and the WBC count was 12,000/µL. Thyroid-stimulating hormone level was 0.31 mIU/L (reference range, 0.45-4.12), and the free thyroxine level was 12 pmol/L (reference range, 10-18). Antibiotics were discontinued. She remained euvolemic and never required diuretic therapy. The acute myocardial injury and diastolic dysfunction were attributed to an acute stress cardiomyopathy arising from the strain of her husband’s declining health. She was discharged on hospital day 5 with aspirin, atorvastatin, metoprolol, lisinopril, and outpatient follow-up.
The rapid resolution of her multisystem process suggests a self-limited process or successful treatment of the underlying cause. Although she received antibiotics, a bacterial infection never manifested. Cardiomyopathy with a high troponin level, ECG changes, and early heart failure often requires aggressive supportive measures, which were not required here. The rapid cessation of hyperglycemia and an insulin requirement within 1 day is atypical for DKA.
Pheochromocytoma is a rare secondary cause of diabetes in which excess catecholamines cause insulin resistance and suppress insulin release. It can explain both the adrenal mass and, in the form of pheochromocytoma crisis, the severe multisystem injury. However, the patient’s hypotension (which could be explained by concomitant cardiomyopathy) and older age are not typical for pheochromocytoma.
Results of testing for adrenal biomarkers, which were sent during her hospitalization, returned several days after hospital discharge. The plasma free metanephrine level was 687 pg/mL (reference range, <57) and the plasma free normetanephrine level was 508 pg/mL (reference range, <148). Metoprolol was discontinued by her primary care physician.
Elevated plasma free metanephrine and normetanephrine levels were confirmed in the endocrinology clinic 3 weeks later. The 24-hour urine metanephrine level was 1497 µg/24 hours (reference range, 90-315), and the 24-hour urine normetanephrine level was 379 µg/24 hours (reference range, 122-676). Serum aldosterone level was 8 ng/dL (reference range, 3-16), and morning cortisol level was 8 µg/dL (reference range, 4-19). Lisinopril was discontinued, and phenoxybenzamine was prescribed.
Adrenal-protocol CT of the abdomen demonstrated that the left adrenal mass was enhanced by contrast without definite washout, which could be consistent with a pheochromocytoma.
The diagnosis of pheochromocytoma has been confirmed by biochemistry and imaging. It was appropriate to stop metoprolol, as β-blockade can lead to unopposed α-receptor agonism and hypertension. Implementation of α-blockade with phenoxybenzamine and endocrine surgery referral are indicated.
On the day she intended to fill a phenoxybenzamine prescription, the patient experienced acute generalized weakness and presented to the emergency department with hyperglycemia (glucose, 661 mg/dL), acute kidney injury (creatinine, 1.6 mg/dL), troponin I elevation (0.14 µg/L), and lactic acidosis (4.7 mmol/L). She was admitted to the hospital and rapidly improved with intravenous fluids and insulin. Phenoxybenzamine 10 mg daily was administered, and she was discharged on hospital day 2. The dosage of phenoxybenzamine was gradually increased over 2 months.
Laparoscopic left adrenalectomy was performed, with removal of a 3-cm mass. The pathologic findings confirmed the diagnosis of pheochromocytoma. Two months later she felt well. Her hypertension was controlled with lisinopril 10 mg daily. Transthoracic echocardiography 3 months after adrenalectomy demonstrated a left ventricular ejection fraction of 60% to 65%. Six months later, her hemoglobin A1c was 6.6%.
DISCUSSION
Pheochromocytoma is an abnormal growth of cells of chromaffin origin that arises in the adrenal medulla.1,2 The incidence of these often benign tumors is estimated to be 2 to 8 cases per million in the general population, and 2 to 6 per 1000 in adult patients with hypertension.1,3,4 Although clinicians commonly associate these catecholamine-secreting tumors with intermittent hypertension or diaphoresis, they have a wide spectrum of manifestations, which range from asymptomatic adrenal mass to acute multiorgan illness that mimics other life-threatening conditions. Common signs and symptoms of pheochromocytoma include hypertension (60%-70% incidence), headache (50%), diaphoresis (50%), and palpitations (50%-60%).4 The textbook triad of headache, sweating, and palpitations is seen in fewer than 25% of patients with pheochromocytoma; among unselected general medicine patients who have this triad, each symptom is often explained by a more common condition.1,4 Approximately 5% of adrenal “incidentalomas” are pheochromocytomas that are minimally symptomatic or asymptomatic.1,3 In a study of 102 patients who underwent pheochromocytoma resection, 33% were diagnosed during evaluation of an adrenal incidentaloma.5 At the other end of the spectrum is a pheochromocytoma crisis with its mimicry of ACS and sepsis, and manifestations including severe hyperglycemia, abdominal pain, acute heart failure, and syncope.2,5-9 Aside from chronic mild hypertension and a single episode of diaphoresis during admission, our patient had none of the classic signs or symptoms of pheochromocytoma. Rather, she presented with the abrupt onset of multiorgan injury.
Diagnostic evaluation for pheochromocytoma typically includes demonstration of elevated catecholamine byproducts (metanephrines) in plasma or urine and an adrenal mass on imaging.2,10 Biopsy is contraindicated because this can lead to release of catecholamines, which can trigger a pheochromocytoma crisis.5 The Endocrine Society guidelines recommend evaluating patients for pheochromocytoma who have: (1) a known or suspected genetic syndrome linked to pheochromocytoma (eg, multiple endocrine neoplasia type 2 or Von Hippel-Lindau syndrome), (2) an adrenal mass incidentally found on imaging, regardless of a history of hypertension, or (3) signs and symptoms of pheochromocytoma.3
Patients in pheochromocytoma crisis are typically very ill, requiring intensive care unit admission for hemodynamic stabilization.1,11 Initial management is typically directed at assessing and treating for common causes of systemic illness and hemodynamic instability, such as ACS and sepsis. Although some patients with pheochromocytoma crisis may have hemodynamic collapse requiring invasive circulatory support, others improve while receiving empiric treatment for mimicking conditions. Our patient had multiorgan injury and hemodynamic instability but returned to her preadmission state within 48 to 72 hours and remained stable after the withdrawal of all therapies, including insulin and antibiotics. This rapid improvement suggested a paroxysmal condition with an “on/off” capacity mediated by endogenous mediators. Once pheochromocytoma crisis is diagnosed, hemodynamic stabilization with α-adrenergic receptor blockade and intravascular volume repletion is essential. Confirmation of the diagnosis with repeat testing after hospital discharge is important because biochemical test results are less specific in the setting of acute illness. Surgery on an elective basis is the definitive treatment. Ongoing α-adrenergic receptor blockade is essential to minimize the risk of an intraoperative pheochromocytoma crisis (because of anesthesia or tumor manipulation) and prevent cardiovascular collapse after resection of tumor.11
Although the biochemical profile of a pheochromocytoma (eg, epinephrine predominant) is not tightly linked to the phenotype, the pattern of organ injury can reflect the pleotropic effects of specific catecholamines.12 While both norepinephrine and epinephrine bind the β1-adrenergic receptor with equal affinity, epinephrine has a higher affinity for the β2-adrenergic receptor. Our patient’s initial relative hypotension was likely caused by hypovolemia from decreased oral intake, vomiting, and hyperglycemia-mediated polyuria. However, β2-adrenergic receptor agonism could have caused vasodilation, and nocardiogenic hypotension has been observed with epinephrine-predominant pheochromocytomas.13 Several of the other clinical findings in this case can be explained by widespread β-adrenergic receptor agonism. Epinephrine (whether endogenously produced or exogenously administered) can lead to cardiac injury with elevated cardiac biomarkers.1,6,14 Epinephrine administration can cause leukocytosis, which is attributed to demargination of leukocyte subsets that express β2-adrenergic receptors.15,16 Lactic acidosis in the absence of tissue hypoxia (type B lactic acidosis) occurs during epinephrine infusions in healthy volunteers.17,18 Hyperglycemia from epinephrine infusions is attributed to β-adrenergic receptor stimulation causing increased gluconeogenesis and glycogenolysis and decreased insulin secretion and tissue glucose uptake.8 Resolution of hyperglycemia and diabetes is observed in the majority of patients after resection of pheochromocytoma, and hypoglycemia immediately after surgery is common, occasionally requiring glucose infusion.19,20
Pheochromocytomas are rare tumors with a wide range of manifestations that extend well beyond the classic triad. Pheochromocytomas can present as an asymptomatic adrenal mass with normal blood pressure, as new onset diabetes, or as multiorgan injury with cardiovascular collapse. Our patient suffered from two episodes of catecholamine excess that required hospitalization, but fortunately each proved to be a short-lived crisis.
TEACHING POINTS
- The classic triad of headache, sweating, and palpitations occurs in less than 25% of patients with pheochromocytoma; among unselected general medicine patients who have this triad, each symptom is usually explained by a common medical condition.
- The presentation of pheochromocytoma varies widely, from asymptomatic adrenal incidentaloma to pheochromocytoma crisis causing multiorgan dysfunction with hemodynamic instability and mimicry of common critical illnesses like ACS, DKA, and sepsis.
- Biochemical screening for pheochromocytoma is recommended when a patient has a known or suspected genetic syndrome linked to pheochromocytoma, an adrenal mass incidentally found on imaging regardless of blood pressure, or signs and symptoms of a pheochromocytoma.
1. Riester A, Weismann D, Quinkler M, et al. Life-threatening events in patients with pheochromocytoma. Eur J Endocrinol. 2015;173(6):757-764. https://doi.org/10.1530/eje-15-0483
2. Whitelaw BC, Prague JK, Mustafa OG, et al. Phaeochromocytoma [corrected] crisis. Clin Endocrinol (Oxf). 2014;80(1):13-22. https://doi.org/10.1111/cen.12324
3. Lenders JW, Duh QY, Eisenhofer G, et al; Endocrine Society. Pheochromocytoma and paraganglioma: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2014;99(6):1915-1942. https://doi.org/10.1210/jc.2014-1498
4. Reisch N, Peczkowska M, Januszewicz A, Neumann HP. Pheochromocytoma: presentation, diagnosis and treatment. J Hypertens. 2006;24(12):2331-2339. https://doi.org/10.1097/01.hjh.0000251887.01885.54
5. Shen WT, Grogan R, Vriens M, Clark OH, Duh QY. One hundred two patients with pheochromocytoma treated at a single institution since the introduction of laparoscopic adrenalectomy. Arch Surg. 2010;145(9):893-897. https://doi.org/10.1001/archsurg.2010.159
6. Giavarini A, Chedid A, Bobrie G, Plouin PF, Hagège A, Amar L. Acute catecholamine cardiomyopathy in patients with phaeochromocytoma or functional paraganglioma. Heart. 2013;99(14):1438-1444. https://doi.org/10.1136/heartjnl-2013-304073
7. Lee TW, Lin KH, Chang CJ, Lew WH, Lee TI. Pheochromocytoma mimicking both acute coronary syndrome and sepsis: a case report. Med Princ Pract. 2013;22(4):405-407. https://doi.org/10.1159/000343578
8. Mesmar B, Poola-Kella S, Malek R. The physiology behind diabetes mellitus in patients with pheochromocytoma: a review of the literature. Endocr Pract. 2017;23(8):999-1005. https://doi.org/10.4158/ep171914.ra
9. Ueda T, Oka N, Matsumoto A, et al. Pheochromocytoma presenting as recurrent hypotension and syncope. Intern Med. 2005;44(3):222-227. https://doi.org/10.2169/internalmedicine.44.222
10. Neumann HPH, Young WF Jr, Eng C. Pheochromocytoma and paraganglioma. N Engl J Med. 2019;381(6):552-565. https://doi.org/10.1056/nejmra1806651
11. Scholten A, Cisco RM, Vriens MR, et al. Pheochromocytoma crisis is not a surgical emergency. J Clin Endocrinol Metab. 2013;98(2):581-591. https://doi.org/10.1210/jc.2012-3020
12. Pacak K. Phaeochromocytoma: a catecholamine and oxidative stress disorder. Endocr Regul. 2011;45:65-90.
13. Baxter MA, Hunter P, Thompson GR, London DR. Phaeochromocytomas as a cause of hypotension. Clin Endocrinol (Oxf). 1992;37(3):304-306. https://doi.org/10.1111/j.1365-2265.1992.tb02326.x
14. Campbell RL, Bellolio MF, Knutson BD, et al. Epinephrine in anaphylaxis: higher risk of cardiovascular complications and overdose after administration of intravenous bolus epinephrine compared with intramuscular epinephrine. J Allergy Clin Immunol Pract. 2015;3(1):76-80. https://doi.org/10.1016/j.jaip.2014.06.007
15. Benschop RJ, Rodriguez-Feuerhahn M, Schedlowski M. Catecholamine-induced leukocytosis: early observations, current research, and future directions. Brain Behav Immun. 1996;10(2):77-91. https://doi.org/10.1006/brbi.1996.0009
16. Dimitrov S, Lange T, Born J. Selective mobilization of cytotoxic leukocytes by epinephrine. J Immunol. 2010;184(1):503-511. https://doi.org/10.4049/jimmunol.0902189
17. Andersen LW, Mackenhauer J, Roberts JC, Berg KM, Cocchi MN, Donnino MW. Etiology and therapeutic approach to elevated lactate levels. Mayo Clin Proc. 2013;88(10):1127-1140. https://doi.org/10.1016/j.mayocp.2013.06.012
18. Levy B. Bench-to-bedside review: is there a place for epinephrine in septic shock? Crit Care. 2005;9(6):561-565. https://doi.org/10.1186/cc3901
19. Chen Y, Hodin RA, Pandolfi C, Ruan DT, McKenzie TJ. Hypoglycemia after resection of pheochromocytoma. Surgery. 2014;156:1404-1408; discussion 1408-1409. https://doi.org/10.1016/j.surg.2014.08.020
20. Pogorzelski R, Toutounchi S, Krajewska E, et al. The effect of surgical treatment of phaeochromocytoma on concomitant arterial hypertension and diabetes mellitus in a single-centre retrospective study. Cent European J Urol. 2014;67(4):361-365. https://doi.org/10.5173/ceju.2014.04.art9
1. Riester A, Weismann D, Quinkler M, et al. Life-threatening events in patients with pheochromocytoma. Eur J Endocrinol. 2015;173(6):757-764. https://doi.org/10.1530/eje-15-0483
2. Whitelaw BC, Prague JK, Mustafa OG, et al. Phaeochromocytoma [corrected] crisis. Clin Endocrinol (Oxf). 2014;80(1):13-22. https://doi.org/10.1111/cen.12324
3. Lenders JW, Duh QY, Eisenhofer G, et al; Endocrine Society. Pheochromocytoma and paraganglioma: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2014;99(6):1915-1942. https://doi.org/10.1210/jc.2014-1498
4. Reisch N, Peczkowska M, Januszewicz A, Neumann HP. Pheochromocytoma: presentation, diagnosis and treatment. J Hypertens. 2006;24(12):2331-2339. https://doi.org/10.1097/01.hjh.0000251887.01885.54
5. Shen WT, Grogan R, Vriens M, Clark OH, Duh QY. One hundred two patients with pheochromocytoma treated at a single institution since the introduction of laparoscopic adrenalectomy. Arch Surg. 2010;145(9):893-897. https://doi.org/10.1001/archsurg.2010.159
6. Giavarini A, Chedid A, Bobrie G, Plouin PF, Hagège A, Amar L. Acute catecholamine cardiomyopathy in patients with phaeochromocytoma or functional paraganglioma. Heart. 2013;99(14):1438-1444. https://doi.org/10.1136/heartjnl-2013-304073
7. Lee TW, Lin KH, Chang CJ, Lew WH, Lee TI. Pheochromocytoma mimicking both acute coronary syndrome and sepsis: a case report. Med Princ Pract. 2013;22(4):405-407. https://doi.org/10.1159/000343578
8. Mesmar B, Poola-Kella S, Malek R. The physiology behind diabetes mellitus in patients with pheochromocytoma: a review of the literature. Endocr Pract. 2017;23(8):999-1005. https://doi.org/10.4158/ep171914.ra
9. Ueda T, Oka N, Matsumoto A, et al. Pheochromocytoma presenting as recurrent hypotension and syncope. Intern Med. 2005;44(3):222-227. https://doi.org/10.2169/internalmedicine.44.222
10. Neumann HPH, Young WF Jr, Eng C. Pheochromocytoma and paraganglioma. N Engl J Med. 2019;381(6):552-565. https://doi.org/10.1056/nejmra1806651
11. Scholten A, Cisco RM, Vriens MR, et al. Pheochromocytoma crisis is not a surgical emergency. J Clin Endocrinol Metab. 2013;98(2):581-591. https://doi.org/10.1210/jc.2012-3020
12. Pacak K. Phaeochromocytoma: a catecholamine and oxidative stress disorder. Endocr Regul. 2011;45:65-90.
13. Baxter MA, Hunter P, Thompson GR, London DR. Phaeochromocytomas as a cause of hypotension. Clin Endocrinol (Oxf). 1992;37(3):304-306. https://doi.org/10.1111/j.1365-2265.1992.tb02326.x
14. Campbell RL, Bellolio MF, Knutson BD, et al. Epinephrine in anaphylaxis: higher risk of cardiovascular complications and overdose after administration of intravenous bolus epinephrine compared with intramuscular epinephrine. J Allergy Clin Immunol Pract. 2015;3(1):76-80. https://doi.org/10.1016/j.jaip.2014.06.007
15. Benschop RJ, Rodriguez-Feuerhahn M, Schedlowski M. Catecholamine-induced leukocytosis: early observations, current research, and future directions. Brain Behav Immun. 1996;10(2):77-91. https://doi.org/10.1006/brbi.1996.0009
16. Dimitrov S, Lange T, Born J. Selective mobilization of cytotoxic leukocytes by epinephrine. J Immunol. 2010;184(1):503-511. https://doi.org/10.4049/jimmunol.0902189
17. Andersen LW, Mackenhauer J, Roberts JC, Berg KM, Cocchi MN, Donnino MW. Etiology and therapeutic approach to elevated lactate levels. Mayo Clin Proc. 2013;88(10):1127-1140. https://doi.org/10.1016/j.mayocp.2013.06.012
18. Levy B. Bench-to-bedside review: is there a place for epinephrine in septic shock? Crit Care. 2005;9(6):561-565. https://doi.org/10.1186/cc3901
19. Chen Y, Hodin RA, Pandolfi C, Ruan DT, McKenzie TJ. Hypoglycemia after resection of pheochromocytoma. Surgery. 2014;156:1404-1408; discussion 1408-1409. https://doi.org/10.1016/j.surg.2014.08.020
20. Pogorzelski R, Toutounchi S, Krajewska E, et al. The effect of surgical treatment of phaeochromocytoma on concomitant arterial hypertension and diabetes mellitus in a single-centre retrospective study. Cent European J Urol. 2014;67(4):361-365. https://doi.org/10.5173/ceju.2014.04.art9
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