MDedge Endocrinology

PHILADELPHIA – The prescribing, counseling, and use of hormone therapy (HT) to treat menopausal symptoms is substantially more common among white women than among Black women, according to a review of published studies presented at the annual meeting of the Menopause Society (formerly The North American Menopause Society).

“Gaps in treatment can be used to inform health care providers about menopausal HT prescribing disparities, with the goal of improving equitable and advanced patient care among disadvantaged populations,” wrote Danette Conklin, PhD, an assistant professor of psychiatry and reproductive biology at Case Western Reserve University, Cleveland, and a psychologist at University Hospitals Cleveland Medical Center; Sally MacPhedran, MD, an associate professor of reproductive biology at Case Western Reserve University and an ob.gyn at MetroHealth Medical Center, also in Cleveland; and their colleagues.

The researchers combed through PubMed, CINAHL, Cochrane Library, Web of Science and PsychInfo databases to identify all studies conducted in the United States since 1940 that contained data on patient demographics and prescribing patterns for hormone therapy to treat menopausal symptoms. In addition to excluding men, children, teens, trans men, and women who had contraindications for HT, the investigators excluded randomized clinical trials so that prescribing patterns would not be based on protocols or RCT participatory criteria.

The researchers identified 20 studies, ranging from 1973 through 2015, including 9 national studies and the others across different U.S. regions. They then analyzed differences in HT prescribing according to age, race/ethnicity, education, income, insurance type, body mass index, and mental health, including alcohol or substance use.

Seven of the studies assessed HT use based on patient surveys, seven used medical or medication records showing an HT prescription, two studies used insurance claims to show an HT prescription, and one study surveyed patients about whether they received an HT prescription. Another four studies used surveys that asked patients whether they received HT counseling but did not indicate if the patients received a prescription.

Half of the studies showed racial disparities in HT prescribing. In all of them, Black women used or were prescribed or counseled on using HT less than white, Hispanic, or Asian women. White women had greater use, prescribing, or counseling than all other races/ethnicities except one study in which Hispanic women were prescribed vaginal estrogen more often than white women.

Six of the studies showed education disparities in which menopausal women with lower education levels used less HT or were prescribed or counseled on HT less than women with higher education.
 

Complex reasons

Monica Christmas, MD, an associate professor of obstetrics and gynecology at the University of Chicago and director of the Menopause Program and the Center for Women’s Integrated Health, said the study’s findings were not surprising, but the reasons for the racial disparities are likely complex.

Implicit bias in providers is likely one contributing factor, with some providers not thinking of offering HT to certain patients or not expecting the patients to be interested in it. Providers may also hesitate to prescribe HT to patients with more comorbidities because of concerns about HT risks, so if Black patients have more comorbidities, that could play a role in how many are offered or counseled on HT, she said.

“Probably the biggest take home is that it is important to be asking all of our patients about their symptoms and being proactive about talking about it,” Dr. Christmas said in an interview.

At the same time, in her anecdotal experience at a previous institution, Dr. Christmas noticed that her Black patients were less receptive to using hormone therapy than her White patients even though her Black patients tended to exhibit or report greater or more severe symptoms. But there’s been a “paradigm shift” more recently, Dr. Christmas said. With awareness about menopause growing in the media and particularly on social media, and with greater awareness about racial disparities in menopausal symptoms and care – including that shown in Dr. Christmas’s work in the SWAN Study – Dr. Christmas has had more Black patients asking about HT and other treatments for their menopausal symptoms more recently.

“Just 10 years ago, I was trying to talk to people about hormones, and I’ve been giving them to people that need them for a long time, and I couldn’t,” Dr. Christmas said. “Now people are coming in, saying ‘no one’s ever talked to me about it’ or ‘I deserve this.’ It shows you the persuasion that social media and the Internet have on our thinking too, and I think that’s going to be interesting to look at, to see how that impacts people’s perception about wanting treatment.”

Dr. Conklin agreed that reasons for the disparities likely involve a combination of factors, including providers’ assumptions about different racial groups’ knowledge and receptiveness toward different treatments. One of the studies in their review also reported provider barriers to prescribing HT, which included lack of time, lack of adequate knowledge, and concern about risks to patients’ health.

“Medical providers tend to have less time with their patients compared to PhDs, and that time factor really makes a big difference in terms of what the focus is going to be in that [short] appointment,” Dr. Conklin said in an interview. “Perhaps from a provider point of view, they are prioritizing what they think is more important to their patient and not really listening deeply to what their patient is saying.”
 

Educating clinicians

Potentially supporting that possibility, Dr. Conklin and Dr. MacPhedran also had a poster at the conference that looked at prescribing of HT in both Black and White women with a diagnosis of depression, anxiety, or bipolar disorder.

“In a population with a high percentage of Black patients known to have more menopause symptoms, the data demonstrated a surprisingly low rate of documented menopause symptoms (11%) compared to prior reports of up to 80%,” the researchers reported. “This low rate may be related to patient reporting, physician inquiry, or physician documentation of menopause symptoms.” They further found that White women with menopause symptoms and one of those psychiatric diagnosis were 40% more likely to receive an HT prescription for menopausal symptoms than Black women with the same diagnoses and symptoms.

Dr. Conklin emphasized the importance of providers not overlooking women who have mental health disorders when it comes to treating menopausal symptoms, particularly since mental health conditions and menopausal symptoms can exacerbate each other.

“Their depression could worsen irritability, and anxiety can worsen during the transition, and it could be overlooked or thought of as another [psychiatric] episode,” Dr. Conklin said. Providers may need to “dig a little deeper,” especially if patients are reporting having hot flashes or brain fog.

A key way to help overcome the racial disparities – whether they result from systemic issues, implicit bias or assumptions, or patients’ own reticence – is education, Dr. Conklin said. She recommended that providers have educational material about menopause and treatments for menopausal symptoms in the waiting room and then ask patients about their symptoms and invite patients to ask questions.

Dr. MacPhedran added that education for clinicians is key as well.

“Now is a great time – menopause is hot, menopause is interesting, and it’s getting a little bit of a push in terms of research dollars,” Dr. MacPhedran said. “That will trickle down to more emphasis in medical education, whether that’s nurse practitioners, physicians, PAs, or midwives. Everybody needs more education on menopause so they can be more comfortable asking and answering these questions.”

Dr. Conklin said she would like to see expanded education on menopause for medical residents and in health psychology curricula as well.

Among the 13 studies that found disparities in prescribing patterns by age, seven studies showed that older women used or were prescribed or counseled on HT more often than younger women. Four studies found the opposite, with older women less likely to use or be prescribed or counseled about HT. One study had mixed results, and one study had expected prescribing patterns.

Five studies found income disparities and five studies found disparities by medical conditions in terms of HT use, prescribing, or counseling. Other disparities identified in smaller numbers of studies (four or fewer) included natural versus surgical menopause, insurance coverage, body mass index, geographic region, smoking and alcohol use.

The two biggest limitations of the research were its heterogeneity and the small number of studies included, which points to how scarce research on racial disparities in HT use really are, Dr. Conklin said.

The research did not use any external funding. The authors had no industry disclosures. Dr. Christmas has done an educational video for FertilityIQ.

PHILADELPHIA – The prescribing, counseling, and use of hormone therapy (HT) to treat menopausal symptoms is substantially more common among white women than among Black women, according to a review of published studies presented at the annual meeting of the Menopause Society (formerly The North American Menopause Society).

“Gaps in treatment can be used to inform health care providers about menopausal HT prescribing disparities, with the goal of improving equitable and advanced patient care among disadvantaged populations,” wrote Danette Conklin, PhD, an assistant professor of psychiatry and reproductive biology at Case Western Reserve University, Cleveland, and a psychologist at University Hospitals Cleveland Medical Center; Sally MacPhedran, MD, an associate professor of reproductive biology at Case Western Reserve University and an ob.gyn at MetroHealth Medical Center, also in Cleveland; and their colleagues.

The researchers combed through PubMed, CINAHL, Cochrane Library, Web of Science and PsychInfo databases to identify all studies conducted in the United States since 1940 that contained data on patient demographics and prescribing patterns for hormone therapy to treat menopausal symptoms. In addition to excluding men, children, teens, trans men, and women who had contraindications for HT, the investigators excluded randomized clinical trials so that prescribing patterns would not be based on protocols or RCT participatory criteria.

The researchers identified 20 studies, ranging from 1973 through 2015, including 9 national studies and the others across different U.S. regions. They then analyzed differences in HT prescribing according to age, race/ethnicity, education, income, insurance type, body mass index, and mental health, including alcohol or substance use.

Seven of the studies assessed HT use based on patient surveys, seven used medical or medication records showing an HT prescription, two studies used insurance claims to show an HT prescription, and one study surveyed patients about whether they received an HT prescription. Another four studies used surveys that asked patients whether they received HT counseling but did not indicate if the patients received a prescription.

Half of the studies showed racial disparities in HT prescribing. In all of them, Black women used or were prescribed or counseled on using HT less than white, Hispanic, or Asian women. White women had greater use, prescribing, or counseling than all other races/ethnicities except one study in which Hispanic women were prescribed vaginal estrogen more often than white women.

Six of the studies showed education disparities in which menopausal women with lower education levels used less HT or were prescribed or counseled on HT less than women with higher education.
 

Complex reasons

Monica Christmas, MD, an associate professor of obstetrics and gynecology at the University of Chicago and director of the Menopause Program and the Center for Women’s Integrated Health, said the study’s findings were not surprising, but the reasons for the racial disparities are likely complex.

Implicit bias in providers is likely one contributing factor, with some providers not thinking of offering HT to certain patients or not expecting the patients to be interested in it. Providers may also hesitate to prescribe HT to patients with more comorbidities because of concerns about HT risks, so if Black patients have more comorbidities, that could play a role in how many are offered or counseled on HT, she said.

“Probably the biggest take home is that it is important to be asking all of our patients about their symptoms and being proactive about talking about it,” Dr. Christmas said in an interview.

At the same time, in her anecdotal experience at a previous institution, Dr. Christmas noticed that her Black patients were less receptive to using hormone therapy than her White patients even though her Black patients tended to exhibit or report greater or more severe symptoms. But there’s been a “paradigm shift” more recently, Dr. Christmas said. With awareness about menopause growing in the media and particularly on social media, and with greater awareness about racial disparities in menopausal symptoms and care – including that shown in Dr. Christmas’s work in the SWAN Study – Dr. Christmas has had more Black patients asking about HT and other treatments for their menopausal symptoms more recently.

“Just 10 years ago, I was trying to talk to people about hormones, and I’ve been giving them to people that need them for a long time, and I couldn’t,” Dr. Christmas said. “Now people are coming in, saying ‘no one’s ever talked to me about it’ or ‘I deserve this.’ It shows you the persuasion that social media and the Internet have on our thinking too, and I think that’s going to be interesting to look at, to see how that impacts people’s perception about wanting treatment.”

Dr. Conklin agreed that reasons for the disparities likely involve a combination of factors, including providers’ assumptions about different racial groups’ knowledge and receptiveness toward different treatments. One of the studies in their review also reported provider barriers to prescribing HT, which included lack of time, lack of adequate knowledge, and concern about risks to patients’ health.

“Medical providers tend to have less time with their patients compared to PhDs, and that time factor really makes a big difference in terms of what the focus is going to be in that [short] appointment,” Dr. Conklin said in an interview. “Perhaps from a provider point of view, they are prioritizing what they think is more important to their patient and not really listening deeply to what their patient is saying.”
 

Educating clinicians

Potentially supporting that possibility, Dr. Conklin and Dr. MacPhedran also had a poster at the conference that looked at prescribing of HT in both Black and White women with a diagnosis of depression, anxiety, or bipolar disorder.

“In a population with a high percentage of Black patients known to have more menopause symptoms, the data demonstrated a surprisingly low rate of documented menopause symptoms (11%) compared to prior reports of up to 80%,” the researchers reported. “This low rate may be related to patient reporting, physician inquiry, or physician documentation of menopause symptoms.” They further found that White women with menopause symptoms and one of those psychiatric diagnosis were 40% more likely to receive an HT prescription for menopausal symptoms than Black women with the same diagnoses and symptoms.

Dr. Conklin emphasized the importance of providers not overlooking women who have mental health disorders when it comes to treating menopausal symptoms, particularly since mental health conditions and menopausal symptoms can exacerbate each other.

“Their depression could worsen irritability, and anxiety can worsen during the transition, and it could be overlooked or thought of as another [psychiatric] episode,” Dr. Conklin said. Providers may need to “dig a little deeper,” especially if patients are reporting having hot flashes or brain fog.

A key way to help overcome the racial disparities – whether they result from systemic issues, implicit bias or assumptions, or patients’ own reticence – is education, Dr. Conklin said. She recommended that providers have educational material about menopause and treatments for menopausal symptoms in the waiting room and then ask patients about their symptoms and invite patients to ask questions.

Dr. MacPhedran added that education for clinicians is key as well.

“Now is a great time – menopause is hot, menopause is interesting, and it’s getting a little bit of a push in terms of research dollars,” Dr. MacPhedran said. “That will trickle down to more emphasis in medical education, whether that’s nurse practitioners, physicians, PAs, or midwives. Everybody needs more education on menopause so they can be more comfortable asking and answering these questions.”

Dr. Conklin said she would like to see expanded education on menopause for medical residents and in health psychology curricula as well.

Among the 13 studies that found disparities in prescribing patterns by age, seven studies showed that older women used or were prescribed or counseled on HT more often than younger women. Four studies found the opposite, with older women less likely to use or be prescribed or counseled about HT. One study had mixed results, and one study had expected prescribing patterns.

Five studies found income disparities and five studies found disparities by medical conditions in terms of HT use, prescribing, or counseling. Other disparities identified in smaller numbers of studies (four or fewer) included natural versus surgical menopause, insurance coverage, body mass index, geographic region, smoking and alcohol use.

The two biggest limitations of the research were its heterogeneity and the small number of studies included, which points to how scarce research on racial disparities in HT use really are, Dr. Conklin said.

The research did not use any external funding. The authors had no industry disclosures. Dr. Christmas has done an educational video for FertilityIQ.

PHILADELPHIA – The prescribing, counseling, and use of hormone therapy (HT) to treat menopausal symptoms is substantially more common among white women than among Black women, according to a review of published studies presented at the annual meeting of the Menopause Society (formerly The North American Menopause Society).

“Gaps in treatment can be used to inform health care providers about menopausal HT prescribing disparities, with the goal of improving equitable and advanced patient care among disadvantaged populations,” wrote Danette Conklin, PhD, an assistant professor of psychiatry and reproductive biology at Case Western Reserve University, Cleveland, and a psychologist at University Hospitals Cleveland Medical Center; Sally MacPhedran, MD, an associate professor of reproductive biology at Case Western Reserve University and an ob.gyn at MetroHealth Medical Center, also in Cleveland; and their colleagues.

The researchers combed through PubMed, CINAHL, Cochrane Library, Web of Science and PsychInfo databases to identify all studies conducted in the United States since 1940 that contained data on patient demographics and prescribing patterns for hormone therapy to treat menopausal symptoms. In addition to excluding men, children, teens, trans men, and women who had contraindications for HT, the investigators excluded randomized clinical trials so that prescribing patterns would not be based on protocols or RCT participatory criteria.

The researchers identified 20 studies, ranging from 1973 through 2015, including 9 national studies and the others across different U.S. regions. They then analyzed differences in HT prescribing according to age, race/ethnicity, education, income, insurance type, body mass index, and mental health, including alcohol or substance use.

Seven of the studies assessed HT use based on patient surveys, seven used medical or medication records showing an HT prescription, two studies used insurance claims to show an HT prescription, and one study surveyed patients about whether they received an HT prescription. Another four studies used surveys that asked patients whether they received HT counseling but did not indicate if the patients received a prescription.

Half of the studies showed racial disparities in HT prescribing. In all of them, Black women used or were prescribed or counseled on using HT less than white, Hispanic, or Asian women. White women had greater use, prescribing, or counseling than all other races/ethnicities except one study in which Hispanic women were prescribed vaginal estrogen more often than white women.

Six of the studies showed education disparities in which menopausal women with lower education levels used less HT or were prescribed or counseled on HT less than women with higher education.
 

Complex reasons

Monica Christmas, MD, an associate professor of obstetrics and gynecology at the University of Chicago and director of the Menopause Program and the Center for Women’s Integrated Health, said the study’s findings were not surprising, but the reasons for the racial disparities are likely complex.

Implicit bias in providers is likely one contributing factor, with some providers not thinking of offering HT to certain patients or not expecting the patients to be interested in it. Providers may also hesitate to prescribe HT to patients with more comorbidities because of concerns about HT risks, so if Black patients have more comorbidities, that could play a role in how many are offered or counseled on HT, she said.

“Probably the biggest take home is that it is important to be asking all of our patients about their symptoms and being proactive about talking about it,” Dr. Christmas said in an interview.

At the same time, in her anecdotal experience at a previous institution, Dr. Christmas noticed that her Black patients were less receptive to using hormone therapy than her White patients even though her Black patients tended to exhibit or report greater or more severe symptoms. But there’s been a “paradigm shift” more recently, Dr. Christmas said. With awareness about menopause growing in the media and particularly on social media, and with greater awareness about racial disparities in menopausal symptoms and care – including that shown in Dr. Christmas’s work in the SWAN Study – Dr. Christmas has had more Black patients asking about HT and other treatments for their menopausal symptoms more recently.

“Just 10 years ago, I was trying to talk to people about hormones, and I’ve been giving them to people that need them for a long time, and I couldn’t,” Dr. Christmas said. “Now people are coming in, saying ‘no one’s ever talked to me about it’ or ‘I deserve this.’ It shows you the persuasion that social media and the Internet have on our thinking too, and I think that’s going to be interesting to look at, to see how that impacts people’s perception about wanting treatment.”

Dr. Conklin agreed that reasons for the disparities likely involve a combination of factors, including providers’ assumptions about different racial groups’ knowledge and receptiveness toward different treatments. One of the studies in their review also reported provider barriers to prescribing HT, which included lack of time, lack of adequate knowledge, and concern about risks to patients’ health.

“Medical providers tend to have less time with their patients compared to PhDs, and that time factor really makes a big difference in terms of what the focus is going to be in that [short] appointment,” Dr. Conklin said in an interview. “Perhaps from a provider point of view, they are prioritizing what they think is more important to their patient and not really listening deeply to what their patient is saying.”
 

Educating clinicians

Potentially supporting that possibility, Dr. Conklin and Dr. MacPhedran also had a poster at the conference that looked at prescribing of HT in both Black and White women with a diagnosis of depression, anxiety, or bipolar disorder.

“In a population with a high percentage of Black patients known to have more menopause symptoms, the data demonstrated a surprisingly low rate of documented menopause symptoms (11%) compared to prior reports of up to 80%,” the researchers reported. “This low rate may be related to patient reporting, physician inquiry, or physician documentation of menopause symptoms.” They further found that White women with menopause symptoms and one of those psychiatric diagnosis were 40% more likely to receive an HT prescription for menopausal symptoms than Black women with the same diagnoses and symptoms.

Dr. Conklin emphasized the importance of providers not overlooking women who have mental health disorders when it comes to treating menopausal symptoms, particularly since mental health conditions and menopausal symptoms can exacerbate each other.

“Their depression could worsen irritability, and anxiety can worsen during the transition, and it could be overlooked or thought of as another [psychiatric] episode,” Dr. Conklin said. Providers may need to “dig a little deeper,” especially if patients are reporting having hot flashes or brain fog.

A key way to help overcome the racial disparities – whether they result from systemic issues, implicit bias or assumptions, or patients’ own reticence – is education, Dr. Conklin said. She recommended that providers have educational material about menopause and treatments for menopausal symptoms in the waiting room and then ask patients about their symptoms and invite patients to ask questions.

Dr. MacPhedran added that education for clinicians is key as well.

“Now is a great time – menopause is hot, menopause is interesting, and it’s getting a little bit of a push in terms of research dollars,” Dr. MacPhedran said. “That will trickle down to more emphasis in medical education, whether that’s nurse practitioners, physicians, PAs, or midwives. Everybody needs more education on menopause so they can be more comfortable asking and answering these questions.”

Dr. Conklin said she would like to see expanded education on menopause for medical residents and in health psychology curricula as well.

Among the 13 studies that found disparities in prescribing patterns by age, seven studies showed that older women used or were prescribed or counseled on HT more often than younger women. Four studies found the opposite, with older women less likely to use or be prescribed or counseled about HT. One study had mixed results, and one study had expected prescribing patterns.

Five studies found income disparities and five studies found disparities by medical conditions in terms of HT use, prescribing, or counseling. Other disparities identified in smaller numbers of studies (four or fewer) included natural versus surgical menopause, insurance coverage, body mass index, geographic region, smoking and alcohol use.

The two biggest limitations of the research were its heterogeneity and the small number of studies included, which points to how scarce research on racial disparities in HT use really are, Dr. Conklin said.

The research did not use any external funding. The authors had no industry disclosures. Dr. Christmas has done an educational video for FertilityIQ.

A 36-year-old woman presents to your office for assistance with weight loss. She usually weighs around 150 lb, but she had two pregnancies in the past 4 years and has gained 70 lb. Her current weight is 220 lb with a body mass index (BMI) of 36.6 kg/m2, and she has been unable to lose any weight despite diet and exercise. She reports back pain and generalized fatigue but is primarily worried about developing type 2 diabetes, which runs in her family. Her insurance covers weight loss medications, but she is asking if she can take “Ozempic off-label” or “compounded semaglutide” instead because Wegovy isn’t available at her local pharmacy.

More and more people are turning to “medical weight management” to drop pounds and improve their health. This is a strategy that adds pharmacotherapy to lifestyle modifications to treat the chronic disease of obesity, and it is analogous to the treatment of high blood pressure or high cholesterol with medications.

This patient meets the criteria set forth by the American Heart Association, American College of Cardiology, and The Obesity Society for the management of obesity with antiobesity medications:

• BMI ≥ 30 or BMI ≥ 27 with weight-related comorbidities and
• Has been unable to achieve ≥ 5% weight loss with lifestyle changes alone.

Several U.S. Food and Drug Administration–approved antiobesity medications have been proven to cause clinically significant weight loss:

• orlistat (Alli or Xenical).
• phentermine/topiramate (Qsymia).
• naltrexone/bupropion (Contrave).
• liraglutide 3.0 mg subcutaneously daily (Saxenda).
• semaglutide 2.4 mg subcutaneously weekly (Wegovy).

When considering an antiobesity medication for a patient, it’s important to discuss efficacy, side-effect profile, contraindications, cost and coverage, and long-term use.

In this commentary, we’ll specifically focus on semaglutide (Wegovy) as it is currently the most effective FDA-approved medication for weight loss.
 

Efficacy

In a phase 3 clinical trial, patients on semaglutide 2.4 mg weekly lost an average of 15% of their body weight at 68 weeks, or approximately 33 lb. It is important to note that there is variability in treatment response to semaglutide 2.4 mg, just like with any other medication. About 1 in 3 individuals lost ≥ 20% of their weight, but about 1 in every 10 patients did not lose any weight.

In this patient, who has a family history of type 2 diabetes, weight loss with semaglutide 2.4 mg will probably reduce her risk of developing diabetes. With just 5%-10% weight loss, she will see improvements in her blood glucose, blood pressure, and cholesterol. Even greater weight loss (≥ 10%) has been associated with resolution of fatty liver and sleep apnea.
 

Side effects

Before starting semaglutide, patients should be counseled about potential gastrointestinal side effects, including nausea, upset stomach, diarrhea, constipation, and reflux.

Side effects can be managed with dietary modifications, over-the-counter treatments, and slow dose escalation. Some common tips include:

• Eat slowly.
• Eat a bland diet.
• Avoid fatty or fried foods.
• Avoid lying down immediately after eating.
• Prioritize water and fiber intake to mitigate constipation.
• Use over-the-counter treatments as needed (for example, laxative for constipation).

Most of these side effects are present only during dose escalation and resolve once the patient is on a stable dose.

Patients should be counseled about the less than 1% risk for gallbladder issues or pancreatitis. They should be instructed to go to an urgent care or emergency room if they develop severe abdominal pain, recurrent vomiting, or the inability to eat or drink.
 

Contraindications

We don’t prescribe GLP-1 receptor agonists, including semaglutide 2.4 mg, in patients with a personal or family history of medullary thyroid cancer. GLP-1 agonists are contraindicated in patients with a history of pancreatitis or gastroparesis. All FDA-approved antiobesity medications are contraindicated in women who are breastfeeding or trying for pregnancy. If this patient would like to pursue pregnancy again, semaglutide 2.4 mg should be stopped 2 months prior to conception.

Access

In this case, the patient’s insurance covered semaglutide 2.4 mg with a copay of $25 per month. Without insurance, semaglutide 2.4 mg (Wegovy) costs about $1,400 per month, and semaglutide 2.0 mg (Ozempic), the formulation approved for type 2 diabetes, costs up to $1,000 per month. These price ranges are often cost-prohibitive and unsustainable, especially because these medications are intended for long-term use.

Currently, Medicare does not cover antiobesity medications nor do most state Medicaid plans. Therefore, these medications are usually not considered by patients who have Medicare or Medicaid insurance.

Because insurance coverage varies and out-of-pocket costs can be prohibitive, many individuals seek other ways of acquiring semaglutide. The off-label use of semaglutide 2.0 mg (Ozempic) for obesity is scientifically supported and safe, whereas the use of compounded semaglutide is risky due to lack of regulation.

Compounded semaglutide should be avoided, given that these products are not controlled by the FDA, and adverse events have been reported in connection with compounded semaglutide.

In our clinical practice, patients have reported advertisements for “generic semaglutide” compounded with vitamins like vitamin B12 or B6. This is a significant area of concern because some vitamins (for instance, vitamin B6) are toxic at high doses.

We discussed the dangers of compounded semaglutide with our patient and told her that this isn’t something we recommend prescribing. If the patient didn’t want to wait for semaglutide 2.4 mg to be available at her pharmacy, we discussed alternative medications used for the management of obesity, such as other FDA-approved GLP-1 agonists (that is, liraglutide 3.0 mg) and off-label medications. In this case, the patient opted to wait for semaglutide 2.4 mg because she preferred a weekly injectable medication, given her busy lifestyle as a new mom.

Dr. Schmitz, of Weill Cornell Medicine, New York, disclosed no relevant financial relationships. Dr. Tchang, of Weill Cornell Medicine and the Iris Cantor Women's Health Center, both in New York, serves or has served as a director, officer, partner, employee, advisor, consultant, or trustee for Gelesis and Novo Nordisk, and has received income from Gelesis.

A version of this article first appeared on Medscape.com.

A 36-year-old woman presents to your office for assistance with weight loss. She usually weighs around 150 lb, but she had two pregnancies in the past 4 years and has gained 70 lb. Her current weight is 220 lb with a body mass index (BMI) of 36.6 kg/m2, and she has been unable to lose any weight despite diet and exercise. She reports back pain and generalized fatigue but is primarily worried about developing type 2 diabetes, which runs in her family. Her insurance covers weight loss medications, but she is asking if she can take “Ozempic off-label” or “compounded semaglutide” instead because Wegovy isn’t available at her local pharmacy.

More and more people are turning to “medical weight management” to drop pounds and improve their health. This is a strategy that adds pharmacotherapy to lifestyle modifications to treat the chronic disease of obesity, and it is analogous to the treatment of high blood pressure or high cholesterol with medications.

This patient meets the criteria set forth by the American Heart Association, American College of Cardiology, and The Obesity Society for the management of obesity with antiobesity medications:

• BMI ≥ 30 or BMI ≥ 27 with weight-related comorbidities and
• Has been unable to achieve ≥ 5% weight loss with lifestyle changes alone.

Several U.S. Food and Drug Administration–approved antiobesity medications have been proven to cause clinically significant weight loss:

• orlistat (Alli or Xenical).
• phentermine/topiramate (Qsymia).
• naltrexone/bupropion (Contrave).
• liraglutide 3.0 mg subcutaneously daily (Saxenda).
• semaglutide 2.4 mg subcutaneously weekly (Wegovy).

When considering an antiobesity medication for a patient, it’s important to discuss efficacy, side-effect profile, contraindications, cost and coverage, and long-term use.

In this commentary, we’ll specifically focus on semaglutide (Wegovy) as it is currently the most effective FDA-approved medication for weight loss.
 

Efficacy

In a phase 3 clinical trial, patients on semaglutide 2.4 mg weekly lost an average of 15% of their body weight at 68 weeks, or approximately 33 lb. It is important to note that there is variability in treatment response to semaglutide 2.4 mg, just like with any other medication. About 1 in 3 individuals lost ≥ 20% of their weight, but about 1 in every 10 patients did not lose any weight.

In this patient, who has a family history of type 2 diabetes, weight loss with semaglutide 2.4 mg will probably reduce her risk of developing diabetes. With just 5%-10% weight loss, she will see improvements in her blood glucose, blood pressure, and cholesterol. Even greater weight loss (≥ 10%) has been associated with resolution of fatty liver and sleep apnea.
 

Side effects

Before starting semaglutide, patients should be counseled about potential gastrointestinal side effects, including nausea, upset stomach, diarrhea, constipation, and reflux.

Side effects can be managed with dietary modifications, over-the-counter treatments, and slow dose escalation. Some common tips include:

• Eat slowly.
• Eat a bland diet.
• Avoid fatty or fried foods.
• Avoid lying down immediately after eating.
• Prioritize water and fiber intake to mitigate constipation.
• Use over-the-counter treatments as needed (for example, laxative for constipation).

Most of these side effects are present only during dose escalation and resolve once the patient is on a stable dose.

Patients should be counseled about the less than 1% risk for gallbladder issues or pancreatitis. They should be instructed to go to an urgent care or emergency room if they develop severe abdominal pain, recurrent vomiting, or the inability to eat or drink.
 

Contraindications

We don’t prescribe GLP-1 receptor agonists, including semaglutide 2.4 mg, in patients with a personal or family history of medullary thyroid cancer. GLP-1 agonists are contraindicated in patients with a history of pancreatitis or gastroparesis. All FDA-approved antiobesity medications are contraindicated in women who are breastfeeding or trying for pregnancy. If this patient would like to pursue pregnancy again, semaglutide 2.4 mg should be stopped 2 months prior to conception.

Access

In this case, the patient’s insurance covered semaglutide 2.4 mg with a copay of $25 per month. Without insurance, semaglutide 2.4 mg (Wegovy) costs about $1,400 per month, and semaglutide 2.0 mg (Ozempic), the formulation approved for type 2 diabetes, costs up to $1,000 per month. These price ranges are often cost-prohibitive and unsustainable, especially because these medications are intended for long-term use.

Currently, Medicare does not cover antiobesity medications nor do most state Medicaid plans. Therefore, these medications are usually not considered by patients who have Medicare or Medicaid insurance.

Because insurance coverage varies and out-of-pocket costs can be prohibitive, many individuals seek other ways of acquiring semaglutide. The off-label use of semaglutide 2.0 mg (Ozempic) for obesity is scientifically supported and safe, whereas the use of compounded semaglutide is risky due to lack of regulation.

Compounded semaglutide should be avoided, given that these products are not controlled by the FDA, and adverse events have been reported in connection with compounded semaglutide.

In our clinical practice, patients have reported advertisements for “generic semaglutide” compounded with vitamins like vitamin B12 or B6. This is a significant area of concern because some vitamins (for instance, vitamin B6) are toxic at high doses.

We discussed the dangers of compounded semaglutide with our patient and told her that this isn’t something we recommend prescribing. If the patient didn’t want to wait for semaglutide 2.4 mg to be available at her pharmacy, we discussed alternative medications used for the management of obesity, such as other FDA-approved GLP-1 agonists (that is, liraglutide 3.0 mg) and off-label medications. In this case, the patient opted to wait for semaglutide 2.4 mg because she preferred a weekly injectable medication, given her busy lifestyle as a new mom.

Dr. Schmitz, of Weill Cornell Medicine, New York, disclosed no relevant financial relationships. Dr. Tchang, of Weill Cornell Medicine and the Iris Cantor Women's Health Center, both in New York, serves or has served as a director, officer, partner, employee, advisor, consultant, or trustee for Gelesis and Novo Nordisk, and has received income from Gelesis.

A version of this article first appeared on Medscape.com.

A 36-year-old woman presents to your office for assistance with weight loss. She usually weighs around 150 lb, but she had two pregnancies in the past 4 years and has gained 70 lb. Her current weight is 220 lb with a body mass index (BMI) of 36.6 kg/m2, and she has been unable to lose any weight despite diet and exercise. She reports back pain and generalized fatigue but is primarily worried about developing type 2 diabetes, which runs in her family. Her insurance covers weight loss medications, but she is asking if she can take “Ozempic off-label” or “compounded semaglutide” instead because Wegovy isn’t available at her local pharmacy.

More and more people are turning to “medical weight management” to drop pounds and improve their health. This is a strategy that adds pharmacotherapy to lifestyle modifications to treat the chronic disease of obesity, and it is analogous to the treatment of high blood pressure or high cholesterol with medications.

This patient meets the criteria set forth by the American Heart Association, American College of Cardiology, and The Obesity Society for the management of obesity with antiobesity medications:

• BMI ≥ 30 or BMI ≥ 27 with weight-related comorbidities and
• Has been unable to achieve ≥ 5% weight loss with lifestyle changes alone.

Several U.S. Food and Drug Administration–approved antiobesity medications have been proven to cause clinically significant weight loss:

• orlistat (Alli or Xenical).
• phentermine/topiramate (Qsymia).
• naltrexone/bupropion (Contrave).
• liraglutide 3.0 mg subcutaneously daily (Saxenda).
• semaglutide 2.4 mg subcutaneously weekly (Wegovy).

When considering an antiobesity medication for a patient, it’s important to discuss efficacy, side-effect profile, contraindications, cost and coverage, and long-term use.

In this commentary, we’ll specifically focus on semaglutide (Wegovy) as it is currently the most effective FDA-approved medication for weight loss.
 

Efficacy

In a phase 3 clinical trial, patients on semaglutide 2.4 mg weekly lost an average of 15% of their body weight at 68 weeks, or approximately 33 lb. It is important to note that there is variability in treatment response to semaglutide 2.4 mg, just like with any other medication. About 1 in 3 individuals lost ≥ 20% of their weight, but about 1 in every 10 patients did not lose any weight.

In this patient, who has a family history of type 2 diabetes, weight loss with semaglutide 2.4 mg will probably reduce her risk of developing diabetes. With just 5%-10% weight loss, she will see improvements in her blood glucose, blood pressure, and cholesterol. Even greater weight loss (≥ 10%) has been associated with resolution of fatty liver and sleep apnea.
 

Side effects

Before starting semaglutide, patients should be counseled about potential gastrointestinal side effects, including nausea, upset stomach, diarrhea, constipation, and reflux.

Side effects can be managed with dietary modifications, over-the-counter treatments, and slow dose escalation. Some common tips include:

• Eat slowly.
• Eat a bland diet.
• Avoid fatty or fried foods.
• Avoid lying down immediately after eating.
• Prioritize water and fiber intake to mitigate constipation.
• Use over-the-counter treatments as needed (for example, laxative for constipation).

Most of these side effects are present only during dose escalation and resolve once the patient is on a stable dose.

Patients should be counseled about the less than 1% risk for gallbladder issues or pancreatitis. They should be instructed to go to an urgent care or emergency room if they develop severe abdominal pain, recurrent vomiting, or the inability to eat or drink.
 

Contraindications

We don’t prescribe GLP-1 receptor agonists, including semaglutide 2.4 mg, in patients with a personal or family history of medullary thyroid cancer. GLP-1 agonists are contraindicated in patients with a history of pancreatitis or gastroparesis. All FDA-approved antiobesity medications are contraindicated in women who are breastfeeding or trying for pregnancy. If this patient would like to pursue pregnancy again, semaglutide 2.4 mg should be stopped 2 months prior to conception.

Access

In this case, the patient’s insurance covered semaglutide 2.4 mg with a copay of $25 per month. Without insurance, semaglutide 2.4 mg (Wegovy) costs about $1,400 per month, and semaglutide 2.0 mg (Ozempic), the formulation approved for type 2 diabetes, costs up to $1,000 per month. These price ranges are often cost-prohibitive and unsustainable, especially because these medications are intended for long-term use.

Currently, Medicare does not cover antiobesity medications nor do most state Medicaid plans. Therefore, these medications are usually not considered by patients who have Medicare or Medicaid insurance.

Because insurance coverage varies and out-of-pocket costs can be prohibitive, many individuals seek other ways of acquiring semaglutide. The off-label use of semaglutide 2.0 mg (Ozempic) for obesity is scientifically supported and safe, whereas the use of compounded semaglutide is risky due to lack of regulation.

Compounded semaglutide should be avoided, given that these products are not controlled by the FDA, and adverse events have been reported in connection with compounded semaglutide.

In our clinical practice, patients have reported advertisements for “generic semaglutide” compounded with vitamins like vitamin B12 or B6. This is a significant area of concern because some vitamins (for instance, vitamin B6) are toxic at high doses.

We discussed the dangers of compounded semaglutide with our patient and told her that this isn’t something we recommend prescribing. If the patient didn’t want to wait for semaglutide 2.4 mg to be available at her pharmacy, we discussed alternative medications used for the management of obesity, such as other FDA-approved GLP-1 agonists (that is, liraglutide 3.0 mg) and off-label medications. In this case, the patient opted to wait for semaglutide 2.4 mg because she preferred a weekly injectable medication, given her busy lifestyle as a new mom.

Dr. Schmitz, of Weill Cornell Medicine, New York, disclosed no relevant financial relationships. Dr. Tchang, of Weill Cornell Medicine and the Iris Cantor Women's Health Center, both in New York, serves or has served as a director, officer, partner, employee, advisor, consultant, or trustee for Gelesis and Novo Nordisk, and has received income from Gelesis.

A version of this article first appeared on Medscape.com.

TOPLINE:

Use of a novel clinical-decision support tool and shared decision-making in elderly patients with type 2 diabetes managed in a primary care practice and at high risk for hypoglycemic episodes led to a 46% decrease in the number of at-risk patients and discontinuation of hypoglycemic agents in 20% in a prospective, 6-month, single-arm study with 94 patients.

METHODOLOGY:

• The HypoPrevent study enrolled 94 people from a Pennsylvania primary care practice who were at least 65 years old with type 2 diabetes and at risk for hypoglycemia because of treatment with insulin or sulfonylureas, and having a hemoglobin A1c of less than 7.0%.
• Clinicians and patients used a newly devised hypoglycemia reduction clinical-decision support tool developed by the Endocrine Society and a health care consulting company to help guide shared decision-making for a goal A1c level, potential changes to treatment, and other steps to reduce the risk of hypoglycemia.
• Primary outcomes during 6-month follow-up were impact of the intervention on A1c, changes in use of insulin or sulfonylureas, change in the number of study patients at risk for hypoglycemia, and impact on the incidence of nonsevere hypoglycemic events (NSHEs) measured with the Treatment-Related Impact Measure–Non-severe Hypoglycemic Events (TRIM-HYPO) survey.

TAKEAWAY:

• Patients averaged 74 years old, 57% were women, 95% were White, 61% had diabetes for more than 10 years, 48% had chronic kidney disease, 51% were on insulin, 47% on a sulfonylurea, and 80 of the 94 enrolled patients completed all three study visits.
• Nineteen patients (20%) reduced their dose of or discontinued insulin or sulfonylurea.
• In patients with both baseline and follow-up A1c measures, A1c rose from 6.29% at baseline to 6.82%.
• Fifty patients set an A1c goal and had a timely follow-up A1c measurement, and in this subgroup the number of patients at risk for hypoglycemia decreased by 46%, a significant change.
• Patients who reported at least one NSHE at baseline had a significant reduction between the baseline survey and follow-up visits in both the total score as well as each of the five scored domains.

IN PRACTICE:

The HypoPrevent study results “show the potential of a decision support tool and shared decision making to reduce the risk of hypoglycemia in older persons with type 2 diabetes,” and that “the tested decision tool can be effectively used by a busy primary care practice with positive results,” concluded the researchers in their report.

SOURCE:

The HypoPrevent study was funded and organized by the Endocrine Society in collaboration with a multicenter team of researchers. The report appeared in the Journal of the American Geriatrics Society.

LIMITATIONS:

Lack of a control group makes it impossible to conclusively determine whether the intervention led to the observed increases in A1c levels, nor can the study exclude regression to the mean as the cause for lowered A1c levels.

DISCLOSURES:

The study received funding from Abbott, Lilly, Merck, Novo Nordisk, and Sanofi. Two coauthors had individual disclosures listed in the report; the other six coauthors had no disclosures.

A version of this article first appeared on Medscape.com.

TOPLINE:

Use of a novel clinical-decision support tool and shared decision-making in elderly patients with type 2 diabetes managed in a primary care practice and at high risk for hypoglycemic episodes led to a 46% decrease in the number of at-risk patients and discontinuation of hypoglycemic agents in 20% in a prospective, 6-month, single-arm study with 94 patients.

METHODOLOGY:

• The HypoPrevent study enrolled 94 people from a Pennsylvania primary care practice who were at least 65 years old with type 2 diabetes and at risk for hypoglycemia because of treatment with insulin or sulfonylureas, and having a hemoglobin A1c of less than 7.0%.
• Clinicians and patients used a newly devised hypoglycemia reduction clinical-decision support tool developed by the Endocrine Society and a health care consulting company to help guide shared decision-making for a goal A1c level, potential changes to treatment, and other steps to reduce the risk of hypoglycemia.
• Primary outcomes during 6-month follow-up were impact of the intervention on A1c, changes in use of insulin or sulfonylureas, change in the number of study patients at risk for hypoglycemia, and impact on the incidence of nonsevere hypoglycemic events (NSHEs) measured with the Treatment-Related Impact Measure–Non-severe Hypoglycemic Events (TRIM-HYPO) survey.

TAKEAWAY:

• Patients averaged 74 years old, 57% were women, 95% were White, 61% had diabetes for more than 10 years, 48% had chronic kidney disease, 51% were on insulin, 47% on a sulfonylurea, and 80 of the 94 enrolled patients completed all three study visits.
• Nineteen patients (20%) reduced their dose of or discontinued insulin or sulfonylurea.
• In patients with both baseline and follow-up A1c measures, A1c rose from 6.29% at baseline to 6.82%.
• Fifty patients set an A1c goal and had a timely follow-up A1c measurement, and in this subgroup the number of patients at risk for hypoglycemia decreased by 46%, a significant change.
• Patients who reported at least one NSHE at baseline had a significant reduction between the baseline survey and follow-up visits in both the total score as well as each of the five scored domains.

IN PRACTICE:

The HypoPrevent study results “show the potential of a decision support tool and shared decision making to reduce the risk of hypoglycemia in older persons with type 2 diabetes,” and that “the tested decision tool can be effectively used by a busy primary care practice with positive results,” concluded the researchers in their report.

SOURCE:

The HypoPrevent study was funded and organized by the Endocrine Society in collaboration with a multicenter team of researchers. The report appeared in the Journal of the American Geriatrics Society.

LIMITATIONS:

Lack of a control group makes it impossible to conclusively determine whether the intervention led to the observed increases in A1c levels, nor can the study exclude regression to the mean as the cause for lowered A1c levels.

DISCLOSURES:

The study received funding from Abbott, Lilly, Merck, Novo Nordisk, and Sanofi. Two coauthors had individual disclosures listed in the report; the other six coauthors had no disclosures.

A version of this article first appeared on Medscape.com.

TOPLINE:

Use of a novel clinical-decision support tool and shared decision-making in elderly patients with type 2 diabetes managed in a primary care practice and at high risk for hypoglycemic episodes led to a 46% decrease in the number of at-risk patients and discontinuation of hypoglycemic agents in 20% in a prospective, 6-month, single-arm study with 94 patients.

METHODOLOGY:

• The HypoPrevent study enrolled 94 people from a Pennsylvania primary care practice who were at least 65 years old with type 2 diabetes and at risk for hypoglycemia because of treatment with insulin or sulfonylureas, and having a hemoglobin A1c of less than 7.0%.
• Clinicians and patients used a newly devised hypoglycemia reduction clinical-decision support tool developed by the Endocrine Society and a health care consulting company to help guide shared decision-making for a goal A1c level, potential changes to treatment, and other steps to reduce the risk of hypoglycemia.
• Primary outcomes during 6-month follow-up were impact of the intervention on A1c, changes in use of insulin or sulfonylureas, change in the number of study patients at risk for hypoglycemia, and impact on the incidence of nonsevere hypoglycemic events (NSHEs) measured with the Treatment-Related Impact Measure–Non-severe Hypoglycemic Events (TRIM-HYPO) survey.

TAKEAWAY:

• Patients averaged 74 years old, 57% were women, 95% were White, 61% had diabetes for more than 10 years, 48% had chronic kidney disease, 51% were on insulin, 47% on a sulfonylurea, and 80 of the 94 enrolled patients completed all three study visits.
• Nineteen patients (20%) reduced their dose of or discontinued insulin or sulfonylurea.
• In patients with both baseline and follow-up A1c measures, A1c rose from 6.29% at baseline to 6.82%.
• Fifty patients set an A1c goal and had a timely follow-up A1c measurement, and in this subgroup the number of patients at risk for hypoglycemia decreased by 46%, a significant change.
• Patients who reported at least one NSHE at baseline had a significant reduction between the baseline survey and follow-up visits in both the total score as well as each of the five scored domains.

IN PRACTICE:

The HypoPrevent study results “show the potential of a decision support tool and shared decision making to reduce the risk of hypoglycemia in older persons with type 2 diabetes,” and that “the tested decision tool can be effectively used by a busy primary care practice with positive results,” concluded the researchers in their report.

SOURCE:

The HypoPrevent study was funded and organized by the Endocrine Society in collaboration with a multicenter team of researchers. The report appeared in the Journal of the American Geriatrics Society.

LIMITATIONS:

Lack of a control group makes it impossible to conclusively determine whether the intervention led to the observed increases in A1c levels, nor can the study exclude regression to the mean as the cause for lowered A1c levels.

DISCLOSURES:

The study received funding from Abbott, Lilly, Merck, Novo Nordisk, and Sanofi. Two coauthors had individual disclosures listed in the report; the other six coauthors had no disclosures.

A version of this article first appeared on Medscape.com.

TOPLINE:

Dyspareunia is a major indicator of urinary tract infections, being present in 83% of cases. The symptom is especially accurate at identifying UTIs in nonmenopausal women, researchers have found.

METHODOLOGY:

• Dyspareunia is a common symptom of UTIs, especially in premenopausal women, but is rarely inquired about during patient evaluations, according to researchers from Florida Atlantic University. 
• In 2010, the researchers found that among 3,000 of their female Latinx patients aged 17-72 years in South Florida, 80% of those with UTIs reported experiencing pain during sexual intercourse. 
• Since then, they have studied an additional 2,500 patients from the same population.

TAKEAWAY:

• Among all 5,500 patients, 83% of those who had UTIs experienced dyspareunia.
• Eighty percent of women of reproductive age with dyspareunia had an undiagnosed UTI.
• During the perimenopausal and postmenopausal years, dyspareunia was more often associated with genitourinary syndrome than UTIs.
• Ninety-four percent of women with UTI-associated dyspareunia responded positively to antibiotics.

IN PRACTICE:

“We have found that this symptom is extremely important as part of the symptomatology of UTI [and is] frequently found along with the classical symptoms,” the researchers reported. “Why has something so clear, so frequently present, never been described? The answer is simple: Physicians and patients do not talk about sex, despite dyspareunia being more a clinical symptom than a sexual one. Medical schools and residency programs in all areas, especially in obstetrics and gynecology, urology, and psychiatry, have been neglecting the education of physicians-in-training in this important aspect of human health. In conclusion, this is [proof] of how medicine has sometimes been influenced by religion, culture, and social norms far away from science.”

SOURCE:

The data were presented at the 2023 meeting of the Menopause Society. The study was led by Alberto Dominguez-Bali, MD, from Florida Atlantic University, Boca Raton, Fla.

LIMITATIONS:

The study authors reported no limitations.

DISCLOSURES:

The authors reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

TOPLINE:

Dyspareunia is a major indicator of urinary tract infections, being present in 83% of cases. The symptom is especially accurate at identifying UTIs in nonmenopausal women, researchers have found.

METHODOLOGY:

• Dyspareunia is a common symptom of UTIs, especially in premenopausal women, but is rarely inquired about during patient evaluations, according to researchers from Florida Atlantic University. 
• In 2010, the researchers found that among 3,000 of their female Latinx patients aged 17-72 years in South Florida, 80% of those with UTIs reported experiencing pain during sexual intercourse. 
• Since then, they have studied an additional 2,500 patients from the same population.

TAKEAWAY:

• Among all 5,500 patients, 83% of those who had UTIs experienced dyspareunia.
• Eighty percent of women of reproductive age with dyspareunia had an undiagnosed UTI.
• During the perimenopausal and postmenopausal years, dyspareunia was more often associated with genitourinary syndrome than UTIs.
• Ninety-four percent of women with UTI-associated dyspareunia responded positively to antibiotics.

IN PRACTICE:

“We have found that this symptom is extremely important as part of the symptomatology of UTI [and is] frequently found along with the classical symptoms,” the researchers reported. “Why has something so clear, so frequently present, never been described? The answer is simple: Physicians and patients do not talk about sex, despite dyspareunia being more a clinical symptom than a sexual one. Medical schools and residency programs in all areas, especially in obstetrics and gynecology, urology, and psychiatry, have been neglecting the education of physicians-in-training in this important aspect of human health. In conclusion, this is [proof] of how medicine has sometimes been influenced by religion, culture, and social norms far away from science.”

SOURCE:

The data were presented at the 2023 meeting of the Menopause Society. The study was led by Alberto Dominguez-Bali, MD, from Florida Atlantic University, Boca Raton, Fla.

LIMITATIONS:

The study authors reported no limitations.

DISCLOSURES:

The authors reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

TOPLINE:

Dyspareunia is a major indicator of urinary tract infections, being present in 83% of cases. The symptom is especially accurate at identifying UTIs in nonmenopausal women, researchers have found.

METHODOLOGY:

• Dyspareunia is a common symptom of UTIs, especially in premenopausal women, but is rarely inquired about during patient evaluations, according to researchers from Florida Atlantic University. 
• In 2010, the researchers found that among 3,000 of their female Latinx patients aged 17-72 years in South Florida, 80% of those with UTIs reported experiencing pain during sexual intercourse. 
• Since then, they have studied an additional 2,500 patients from the same population.

TAKEAWAY:

• Among all 5,500 patients, 83% of those who had UTIs experienced dyspareunia.
• Eighty percent of women of reproductive age with dyspareunia had an undiagnosed UTI.
• During the perimenopausal and postmenopausal years, dyspareunia was more often associated with genitourinary syndrome than UTIs.
• Ninety-four percent of women with UTI-associated dyspareunia responded positively to antibiotics.

IN PRACTICE:

“We have found that this symptom is extremely important as part of the symptomatology of UTI [and is] frequently found along with the classical symptoms,” the researchers reported. “Why has something so clear, so frequently present, never been described? The answer is simple: Physicians and patients do not talk about sex, despite dyspareunia being more a clinical symptom than a sexual one. Medical schools and residency programs in all areas, especially in obstetrics and gynecology, urology, and psychiatry, have been neglecting the education of physicians-in-training in this important aspect of human health. In conclusion, this is [proof] of how medicine has sometimes been influenced by religion, culture, and social norms far away from science.”

SOURCE:

The data were presented at the 2023 meeting of the Menopause Society. The study was led by Alberto Dominguez-Bali, MD, from Florida Atlantic University, Boca Raton, Fla.

LIMITATIONS:

The study authors reported no limitations.

DISCLOSURES:

The authors reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

The hugely popular weight loss agent semaglutide (approved as Wegovy for weight loss; Ozempic for type 2 diabetes; Novo Nordisk) received a pair of drug safety–related labeling additions from the Food and Drug Administration in late September for the Ozempic formulation.

The FDA added a warning to the drug-interaction section of the Ozempic label that reiterates a warning that is already in place in other label sections, reinforcing the message that the glucagon-like peptide-1 (GLP-1) receptor agonist Ozempic can potentially interact with the action of certain other agents to increase a person’s risk for hypoglycemia.

The added text says: “Ozempic stimulates insulin release in the presence of elevated blood glucose concentrations. Patients receiving Ozempic in combination with an insulin secretagogue (for instance, sulfonylurea) or insulin may have an increased risk of hypoglycemia, including severe hypoglycemia.”

This text was already included in both the “Warning and Precautions” and the “Adverse Reactions” sections of the label. The warning also advises, “The risk of hypoglycemia may be lowered by a reduction in the dose of sulfonylurea (or other concomitantly administered insulin secretagogue) or insulin. Inform patients using these concomitant medications of the risk of hypoglycemia and educate them on the signs and symptoms of hypoglycemia.”

Reports of ileus episodes after approval

The second addition concerns a new adverse reaction that was identified during the postmarketing experience.

The FDA has received more than 8,500 reports of gastrointestinal issues among patients prescribed glucagon-like peptide-1 (GLP-1) receptor agonists. Ileus is mentioned in 33 cases, including two deaths, associated with semaglutide. The FDA stopped short of saying there is a direct link between the drug and intestinal blockages.

“Because these reactions are reported voluntarily from a population of uncertain size, it is not always possible to reliably estimate their frequency or establish a causal relationship to drug exposure,” the FDA stated in its approval of the label update.

The same warning for the risk of intestinal blockages is already listed on the labels for tirzepatide (Mounjaro, Lilly) and semaglutide injection 2.4 mg (Wegovy, Novo Nordisk).

The label change comes after a Louisiana woman filed a lawsuit in August that claims she was “severely injured” after using Mounjaro and Ozempic. She claimed the drug makers failed to disclose risks of vomiting and diarrhea due to inflammation of the stomach lining, as well as the risk of gastroparesis.

*Correction, 10/3/23: An earlier version of this article misstated the semaglutide formulation that received the updates. 

A version of this article first appeared on Medscape.com.

The hugely popular weight loss agent semaglutide (approved as Wegovy for weight loss; Ozempic for type 2 diabetes; Novo Nordisk) received a pair of drug safety–related labeling additions from the Food and Drug Administration in late September for the Ozempic formulation.

The FDA added a warning to the drug-interaction section of the Ozempic label that reiterates a warning that is already in place in other label sections, reinforcing the message that the glucagon-like peptide-1 (GLP-1) receptor agonist Ozempic can potentially interact with the action of certain other agents to increase a person’s risk for hypoglycemia.

The added text says: “Ozempic stimulates insulin release in the presence of elevated blood glucose concentrations. Patients receiving Ozempic in combination with an insulin secretagogue (for instance, sulfonylurea) or insulin may have an increased risk of hypoglycemia, including severe hypoglycemia.”

This text was already included in both the “Warning and Precautions” and the “Adverse Reactions” sections of the label. The warning also advises, “The risk of hypoglycemia may be lowered by a reduction in the dose of sulfonylurea (or other concomitantly administered insulin secretagogue) or insulin. Inform patients using these concomitant medications of the risk of hypoglycemia and educate them on the signs and symptoms of hypoglycemia.”

Reports of ileus episodes after approval

The second addition concerns a new adverse reaction that was identified during the postmarketing experience.

The FDA has received more than 8,500 reports of gastrointestinal issues among patients prescribed glucagon-like peptide-1 (GLP-1) receptor agonists. Ileus is mentioned in 33 cases, including two deaths, associated with semaglutide. The FDA stopped short of saying there is a direct link between the drug and intestinal blockages.

“Because these reactions are reported voluntarily from a population of uncertain size, it is not always possible to reliably estimate their frequency or establish a causal relationship to drug exposure,” the FDA stated in its approval of the label update.

The same warning for the risk of intestinal blockages is already listed on the labels for tirzepatide (Mounjaro, Lilly) and semaglutide injection 2.4 mg (Wegovy, Novo Nordisk).

The label change comes after a Louisiana woman filed a lawsuit in August that claims she was “severely injured” after using Mounjaro and Ozempic. She claimed the drug makers failed to disclose risks of vomiting and diarrhea due to inflammation of the stomach lining, as well as the risk of gastroparesis.

*Correction, 10/3/23: An earlier version of this article misstated the semaglutide formulation that received the updates. 

A version of this article first appeared on Medscape.com.

The hugely popular weight loss agent semaglutide (approved as Wegovy for weight loss; Ozempic for type 2 diabetes; Novo Nordisk) received a pair of drug safety–related labeling additions from the Food and Drug Administration in late September for the Ozempic formulation.

The FDA added a warning to the drug-interaction section of the Ozempic label that reiterates a warning that is already in place in other label sections, reinforcing the message that the glucagon-like peptide-1 (GLP-1) receptor agonist Ozempic can potentially interact with the action of certain other agents to increase a person’s risk for hypoglycemia.

The added text says: “Ozempic stimulates insulin release in the presence of elevated blood glucose concentrations. Patients receiving Ozempic in combination with an insulin secretagogue (for instance, sulfonylurea) or insulin may have an increased risk of hypoglycemia, including severe hypoglycemia.”

This text was already included in both the “Warning and Precautions” and the “Adverse Reactions” sections of the label. The warning also advises, “The risk of hypoglycemia may be lowered by a reduction in the dose of sulfonylurea (or other concomitantly administered insulin secretagogue) or insulin. Inform patients using these concomitant medications of the risk of hypoglycemia and educate them on the signs and symptoms of hypoglycemia.”

Reports of ileus episodes after approval

The second addition concerns a new adverse reaction that was identified during the postmarketing experience.

The FDA has received more than 8,500 reports of gastrointestinal issues among patients prescribed glucagon-like peptide-1 (GLP-1) receptor agonists. Ileus is mentioned in 33 cases, including two deaths, associated with semaglutide. The FDA stopped short of saying there is a direct link between the drug and intestinal blockages.

“Because these reactions are reported voluntarily from a population of uncertain size, it is not always possible to reliably estimate their frequency or establish a causal relationship to drug exposure,” the FDA stated in its approval of the label update.

The same warning for the risk of intestinal blockages is already listed on the labels for tirzepatide (Mounjaro, Lilly) and semaglutide injection 2.4 mg (Wegovy, Novo Nordisk).

The label change comes after a Louisiana woman filed a lawsuit in August that claims she was “severely injured” after using Mounjaro and Ozempic. She claimed the drug makers failed to disclose risks of vomiting and diarrhea due to inflammation of the stomach lining, as well as the risk of gastroparesis.

*Correction, 10/3/23: An earlier version of this article misstated the semaglutide formulation that received the updates. 

A version of this article first appeared on Medscape.com.

While artificial intelligence (AI) appears to be on its way to transforming all fields of medicine, its potential benefits in endocrinology, with its substantial complexity, may be uniquely important. However, hurdles encountered with the latest AI iterations of chatbots underscore the need to proceed with caution.

“In contrast to other medical fields, endocrinology is not connected to a single organ structure; rather, it is a complicated biological system of hormones and metabolites, [intertwined with] various receptors, signaling pathways and intricate feedback mechanisms,” explained the authors of a recent article on the issue in Nature Reviews Endocrinology.

With interconnections that are “often beyond the comprehension and reasoning capabilities of the human brain, AI [is anticipated] to be exceptionally well-suited to tackle this remarkable heterogeneity and complexity,” they wrote.

Since the first regulatory approvals for AI-based technology were granted back in 2015, endocrinology has already been revolutionized by AI-based tools, most notably with AI biosensors for continuous glucose monitoring systems alerting patients of glucose levels, and automated insulin-delivery systems.

AI-based machine learning has also ushered in improved detection and analysis of thyroid nodules and potential malignancies, with algorithms in the analysis of radiological test images enabling detection through a deeper analysis than can be applied with individual specialists.

Likewise, the benefits of AI in imaging extend to osteoporosis.

“Imaging certainly is one of the most promising fields, including (but not limited to) conventional radiography, computed tomography, and magnetic resonance tomography,” explained Hans Peter Dimai, MD, a professor of medicine and endocrinology at the Medical University of Graz (Austria), and the past president of the Austrian Bone and Mineral Society.

“A typical indication is fracture detection, not in terms of replacing expert radiologists or orthopedists but rather in terms of supporting those who are in specialist training,” he said in an interview.

“Particularly the underdiagnosis of vertebral fractures has been an issue in past decades, with dramatic implications for the individual, since the first vertebral fracture would multiply the risk for any future fracture, and therefore requires immediate action from a physician’s side.”

The areas expected to further benefit from AI continue to grow as systems evolve, with advances being reported across a variety of endocrinologic conditions.

Papillary thyroid cancer (PTC): Central lymph node metastasis of papillary thyroid cancer is predictive of tumor recurrence and overall survival in PTC. However, few tests are able to diagnose the metastasis in the cancer with high accuracy. Using a convolutional neural network prediction model built with a deep-learning algorithm, researchers described high diagnostic sensitivity and specificity of a model, as reported in a study published in Feburary. The prediction model, developed using genetic mutations and clinicopathologic factors, showed high prediction efficacy, with validation in subclinical as well as clinical metastasis groups, suggesting broad applicability.

Adrenal tumors: Adrenal incidentalomas, or masses that are incidentally discovered when performing abdominal imaging for other reasons, can be a perplexing clinical challenge. Discovery of these is increasing as imaging technology advances. However, an AI-based machine learning approach utilizing CT is being developed to differentiate between subclinical pheochromocytoma and lipid-poor adenomas. As reported in a 2022 study, the prediction model scoring system used traditional radiological features on CT images to provide for a noninvasive method in assisting in the diagnosis and providing personalized care for people with adrenal tumors.

Osteoporosis – bone mineral density (BMD): In the diagnosis of osteoporosis, the measurement of BMD using dual-energy x-ray absorptiometry (DXA) is the gold standard. However, the availability of DXA devices in many countries is inadequate, leaving an unmet need for alternative approaches. But one AI-based algorithm shows promising diagnostic accuracy, compared with DXA, potentially providing a low-cost screening alternative for the early diagnosis of osteoporosis.  

Osteoporosis – Fracture Risk Assessment Tool (FRAX): In fracture risk and prevention, the free FRAX tool, available online, is the gold standard and recommended in nearly all osteoporosis guidelines. However, several studies on AI-based tools show some benefit over FRAX, including one approach using longitudinal data with conventional spine radiographs, showing predictive accuracy that exceeds FRAX.  

Osteoporosis – treatment: And for the often challenging process of treatment decision-making in osteoporosis, AI-based software, developed from more than 15,000 osteoporosis patients followed over 10 years, shows high accuracy in the prediction of response to treatment in terms of BMD increase, as described in another study. “Our results show that it is feasible to use a combination of electronic medical records–derived information to develop a machine-learning algorithm to predict a BMD response following osteoporosis treatment,” the authors reported. “This alternative approach can aid physicians to select an optimal therapeutic regimen in order to maximize a patient-specific treatment outcome.”
 

Chatbot wrinkles

The prospects of large language models (LLMs) and ChatGPT unleash the potential to understand and generate text in a similar capacity as humans. Although controversial, they could likewise be compelling.

However, such systems can be vastly more complex than earlier AI-based tools, and some studies are illustrating the kinds of stumbling blocks that need to be overcome.

For instance, in a study published in May, researchers explored the potential of ChatGPT 4.0 to synthesize clinical guidelines for diabetic ketoacidosis from three different sources to reflect the latest evidence and local context.

Such efforts are important but can be very resource-intensive when conducted without the use of AI assistance.

The study’s results showed that, although ChatGPT was able to generate a comprehensive table comparing the guidelines, there were multiple recurrent errors in misreporting and nonreporting, as well as inconsistencies, “rendering the results unreliable,” the authors wrote.

“Although ChatGPT demonstrates the potential for the synthesis of clinical guidelines, the presence of multiple recurrent errors and inconsistencies underscores the need for expert human intervention and validation,” the authors concluded.

Likewise, other research using ChatGPT for use in vitreoretinal diseases, including diabetic retinopathy, further demonstrated disappointing results, with the technology showing the chatbot provided completely accurate responses to only 8 (15.4%) of 52 questions, with some responses containing inappropriate or potentially harmful medical advice.

“For example, in response to ‘How do you get rid of epiretinal membrane?’, the platform described vitrectomy but also included incorrect options of injection therapy and laser therapy,” the authors wrote.

“The study highlights the limitations of using ChatGPT for the adaptation of clinical guidelines without expert human intervention,” they concluded.

And in research published in August that looked at the ability of ChatGPT to interpret guidelines – in this case 26 diagnosis descriptions from the National Comprehensive Cancer Network – results showed that as many as one-third of treatments recommended by the chatbot were at least partially not concordant with information stated in the NCCN guidelines, with recommendations varying based on how the question about treatment was presented.

“Clinicians should advise patients that LLM chatbots are not a reliable source of treatment information,” the authors wrote.
 

Diversity concerns

Among the most prominent concerns about chatbot inaccuracy has been the known lack of racial and ethnic diversity in large databases utilized in developing AI systems, potentially resulting in critical flaws in the information the systems produce.

In an editorial published with the NCCN guideline study, Atul Butte, MD, PhD, from the University of California, San Francisco, noted that the shortcomings should be weighed with the potential benefits.

“There is no doubt that AI and LLMs are not yet perfect, and they carry biases that will need to be addressed,” Dr. Butte wrote. “These algorithms will need to be carefully monitored as they are brought into health systems, [but] this does not alter the potential of how they can improve care for both the haves and have-nots of health care.”

In a comment, Dr. Butte elaborated that, once the system flaws are refined, a key benefit will be the broader application of top standards of care to more patients who may have limited resources.

“It is a privilege to get the very best level of care from the very best centers, but that privilege is not distributable to all right now,” Dr. Butte said.

“The real potential of LLMs and AI will be their ability to be trained from the patient, clinical, and outcomes data from the very best centers, and then used to deliver the best care through digital tools to all patients, especially to those without access to the best care or [those with] limited resources,” he said.

Further commenting on the issue of potential bias with chatbots, Matthew Li, MD, from the University of Alberta, Edmonton, said that awareness of the nature of the problem and need for diversity in data for training and testing AI-systems issues appears to be improving.

“Thanks to much research on this topic in recent years, I think most AI researchers in medicine are at least aware of these challenges now, which was not the case only a few years ago,” he said in an interview.

Across specialties, “the careful deployment of AI tools accounting for issues regarding AI model generalization, biases, and performance drift will be critical for ensuring safe and fair patient care,” Dr. Li noted.

On a broader level is the ongoing general concern of the potential for over-reliance on the technology by clinicians. For example, a recent study showing radiologists across all experience levels reading mammograms were prone to automation bias when being supported by an AI-based system.

“Concerns regarding over-reliance on AI remain,” said Dr. Li, who coauthored a study published in June on the issue.

“Ongoing research into and monitoring of the impact of AI systems as they are developed and deployed will be important to ensure safe patient care moving forward,” he said.

Ultimately, the clinical benefit of AI systems to patients should be the bottom line, Dr. Dimai added.

“In my opinion, the clinical relevance, i.e., the benefit for patients and/or physicians of a to-be-developed AI tool, must be clearly proven before its development starts and first clinical studies are carried out,” he said.

“This is not always the case,” Dr. Dimai said. “In other words, innovation per se should not be the only rationale and driving force for the development of such tools.”

Dr. Li, an associate editor for the journal Radiology: Artificial Intelligence, reports no relevant financial relationships. Dr. Dimai is a member of the key medical advisor team of Image Biopsy Lab.

A version of this article first appeared on Medscape.com.

While artificial intelligence (AI) appears to be on its way to transforming all fields of medicine, its potential benefits in endocrinology, with its substantial complexity, may be uniquely important. However, hurdles encountered with the latest AI iterations of chatbots underscore the need to proceed with caution.

“In contrast to other medical fields, endocrinology is not connected to a single organ structure; rather, it is a complicated biological system of hormones and metabolites, [intertwined with] various receptors, signaling pathways and intricate feedback mechanisms,” explained the authors of a recent article on the issue in Nature Reviews Endocrinology.

With interconnections that are “often beyond the comprehension and reasoning capabilities of the human brain, AI [is anticipated] to be exceptionally well-suited to tackle this remarkable heterogeneity and complexity,” they wrote.

Since the first regulatory approvals for AI-based technology were granted back in 2015, endocrinology has already been revolutionized by AI-based tools, most notably with AI biosensors for continuous glucose monitoring systems alerting patients of glucose levels, and automated insulin-delivery systems.

AI-based machine learning has also ushered in improved detection and analysis of thyroid nodules and potential malignancies, with algorithms in the analysis of radiological test images enabling detection through a deeper analysis than can be applied with individual specialists.

Likewise, the benefits of AI in imaging extend to osteoporosis.

“Imaging certainly is one of the most promising fields, including (but not limited to) conventional radiography, computed tomography, and magnetic resonance tomography,” explained Hans Peter Dimai, MD, a professor of medicine and endocrinology at the Medical University of Graz (Austria), and the past president of the Austrian Bone and Mineral Society.

“A typical indication is fracture detection, not in terms of replacing expert radiologists or orthopedists but rather in terms of supporting those who are in specialist training,” he said in an interview.

“Particularly the underdiagnosis of vertebral fractures has been an issue in past decades, with dramatic implications for the individual, since the first vertebral fracture would multiply the risk for any future fracture, and therefore requires immediate action from a physician’s side.”

The areas expected to further benefit from AI continue to grow as systems evolve, with advances being reported across a variety of endocrinologic conditions.

Papillary thyroid cancer (PTC): Central lymph node metastasis of papillary thyroid cancer is predictive of tumor recurrence and overall survival in PTC. However, few tests are able to diagnose the metastasis in the cancer with high accuracy. Using a convolutional neural network prediction model built with a deep-learning algorithm, researchers described high diagnostic sensitivity and specificity of a model, as reported in a study published in Feburary. The prediction model, developed using genetic mutations and clinicopathologic factors, showed high prediction efficacy, with validation in subclinical as well as clinical metastasis groups, suggesting broad applicability.

Adrenal tumors: Adrenal incidentalomas, or masses that are incidentally discovered when performing abdominal imaging for other reasons, can be a perplexing clinical challenge. Discovery of these is increasing as imaging technology advances. However, an AI-based machine learning approach utilizing CT is being developed to differentiate between subclinical pheochromocytoma and lipid-poor adenomas. As reported in a 2022 study, the prediction model scoring system used traditional radiological features on CT images to provide for a noninvasive method in assisting in the diagnosis and providing personalized care for people with adrenal tumors.

Osteoporosis – bone mineral density (BMD): In the diagnosis of osteoporosis, the measurement of BMD using dual-energy x-ray absorptiometry (DXA) is the gold standard. However, the availability of DXA devices in many countries is inadequate, leaving an unmet need for alternative approaches. But one AI-based algorithm shows promising diagnostic accuracy, compared with DXA, potentially providing a low-cost screening alternative for the early diagnosis of osteoporosis.  

Osteoporosis – Fracture Risk Assessment Tool (FRAX): In fracture risk and prevention, the free FRAX tool, available online, is the gold standard and recommended in nearly all osteoporosis guidelines. However, several studies on AI-based tools show some benefit over FRAX, including one approach using longitudinal data with conventional spine radiographs, showing predictive accuracy that exceeds FRAX.  

Osteoporosis – treatment: And for the often challenging process of treatment decision-making in osteoporosis, AI-based software, developed from more than 15,000 osteoporosis patients followed over 10 years, shows high accuracy in the prediction of response to treatment in terms of BMD increase, as described in another study. “Our results show that it is feasible to use a combination of electronic medical records–derived information to develop a machine-learning algorithm to predict a BMD response following osteoporosis treatment,” the authors reported. “This alternative approach can aid physicians to select an optimal therapeutic regimen in order to maximize a patient-specific treatment outcome.”
 

Chatbot wrinkles

The prospects of large language models (LLMs) and ChatGPT unleash the potential to understand and generate text in a similar capacity as humans. Although controversial, they could likewise be compelling.

However, such systems can be vastly more complex than earlier AI-based tools, and some studies are illustrating the kinds of stumbling blocks that need to be overcome.

For instance, in a study published in May, researchers explored the potential of ChatGPT 4.0 to synthesize clinical guidelines for diabetic ketoacidosis from three different sources to reflect the latest evidence and local context.

Such efforts are important but can be very resource-intensive when conducted without the use of AI assistance.

The study’s results showed that, although ChatGPT was able to generate a comprehensive table comparing the guidelines, there were multiple recurrent errors in misreporting and nonreporting, as well as inconsistencies, “rendering the results unreliable,” the authors wrote.

“Although ChatGPT demonstrates the potential for the synthesis of clinical guidelines, the presence of multiple recurrent errors and inconsistencies underscores the need for expert human intervention and validation,” the authors concluded.

Likewise, other research using ChatGPT for use in vitreoretinal diseases, including diabetic retinopathy, further demonstrated disappointing results, with the technology showing the chatbot provided completely accurate responses to only 8 (15.4%) of 52 questions, with some responses containing inappropriate or potentially harmful medical advice.

“For example, in response to ‘How do you get rid of epiretinal membrane?’, the platform described vitrectomy but also included incorrect options of injection therapy and laser therapy,” the authors wrote.

“The study highlights the limitations of using ChatGPT for the adaptation of clinical guidelines without expert human intervention,” they concluded.

And in research published in August that looked at the ability of ChatGPT to interpret guidelines – in this case 26 diagnosis descriptions from the National Comprehensive Cancer Network – results showed that as many as one-third of treatments recommended by the chatbot were at least partially not concordant with information stated in the NCCN guidelines, with recommendations varying based on how the question about treatment was presented.

“Clinicians should advise patients that LLM chatbots are not a reliable source of treatment information,” the authors wrote.
 

Diversity concerns

Among the most prominent concerns about chatbot inaccuracy has been the known lack of racial and ethnic diversity in large databases utilized in developing AI systems, potentially resulting in critical flaws in the information the systems produce.

In an editorial published with the NCCN guideline study, Atul Butte, MD, PhD, from the University of California, San Francisco, noted that the shortcomings should be weighed with the potential benefits.

“There is no doubt that AI and LLMs are not yet perfect, and they carry biases that will need to be addressed,” Dr. Butte wrote. “These algorithms will need to be carefully monitored as they are brought into health systems, [but] this does not alter the potential of how they can improve care for both the haves and have-nots of health care.”

In a comment, Dr. Butte elaborated that, once the system flaws are refined, a key benefit will be the broader application of top standards of care to more patients who may have limited resources.

“It is a privilege to get the very best level of care from the very best centers, but that privilege is not distributable to all right now,” Dr. Butte said.

“The real potential of LLMs and AI will be their ability to be trained from the patient, clinical, and outcomes data from the very best centers, and then used to deliver the best care through digital tools to all patients, especially to those without access to the best care or [those with] limited resources,” he said.

Further commenting on the issue of potential bias with chatbots, Matthew Li, MD, from the University of Alberta, Edmonton, said that awareness of the nature of the problem and need for diversity in data for training and testing AI-systems issues appears to be improving.

“Thanks to much research on this topic in recent years, I think most AI researchers in medicine are at least aware of these challenges now, which was not the case only a few years ago,” he said in an interview.

Across specialties, “the careful deployment of AI tools accounting for issues regarding AI model generalization, biases, and performance drift will be critical for ensuring safe and fair patient care,” Dr. Li noted.

On a broader level is the ongoing general concern of the potential for over-reliance on the technology by clinicians. For example, a recent study showing radiologists across all experience levels reading mammograms were prone to automation bias when being supported by an AI-based system.

“Concerns regarding over-reliance on AI remain,” said Dr. Li, who coauthored a study published in June on the issue.

“Ongoing research into and monitoring of the impact of AI systems as they are developed and deployed will be important to ensure safe patient care moving forward,” he said.

Ultimately, the clinical benefit of AI systems to patients should be the bottom line, Dr. Dimai added.

“In my opinion, the clinical relevance, i.e., the benefit for patients and/or physicians of a to-be-developed AI tool, must be clearly proven before its development starts and first clinical studies are carried out,” he said.

“This is not always the case,” Dr. Dimai said. “In other words, innovation per se should not be the only rationale and driving force for the development of such tools.”

Dr. Li, an associate editor for the journal Radiology: Artificial Intelligence, reports no relevant financial relationships. Dr. Dimai is a member of the key medical advisor team of Image Biopsy Lab.

A version of this article first appeared on Medscape.com.

While artificial intelligence (AI) appears to be on its way to transforming all fields of medicine, its potential benefits in endocrinology, with its substantial complexity, may be uniquely important. However, hurdles encountered with the latest AI iterations of chatbots underscore the need to proceed with caution.

“In contrast to other medical fields, endocrinology is not connected to a single organ structure; rather, it is a complicated biological system of hormones and metabolites, [intertwined with] various receptors, signaling pathways and intricate feedback mechanisms,” explained the authors of a recent article on the issue in Nature Reviews Endocrinology.

With interconnections that are “often beyond the comprehension and reasoning capabilities of the human brain, AI [is anticipated] to be exceptionally well-suited to tackle this remarkable heterogeneity and complexity,” they wrote.

Since the first regulatory approvals for AI-based technology were granted back in 2015, endocrinology has already been revolutionized by AI-based tools, most notably with AI biosensors for continuous glucose monitoring systems alerting patients of glucose levels, and automated insulin-delivery systems.

AI-based machine learning has also ushered in improved detection and analysis of thyroid nodules and potential malignancies, with algorithms in the analysis of radiological test images enabling detection through a deeper analysis than can be applied with individual specialists.

Likewise, the benefits of AI in imaging extend to osteoporosis.

“Imaging certainly is one of the most promising fields, including (but not limited to) conventional radiography, computed tomography, and magnetic resonance tomography,” explained Hans Peter Dimai, MD, a professor of medicine and endocrinology at the Medical University of Graz (Austria), and the past president of the Austrian Bone and Mineral Society.

“A typical indication is fracture detection, not in terms of replacing expert radiologists or orthopedists but rather in terms of supporting those who are in specialist training,” he said in an interview.

“Particularly the underdiagnosis of vertebral fractures has been an issue in past decades, with dramatic implications for the individual, since the first vertebral fracture would multiply the risk for any future fracture, and therefore requires immediate action from a physician’s side.”

The areas expected to further benefit from AI continue to grow as systems evolve, with advances being reported across a variety of endocrinologic conditions.

Papillary thyroid cancer (PTC): Central lymph node metastasis of papillary thyroid cancer is predictive of tumor recurrence and overall survival in PTC. However, few tests are able to diagnose the metastasis in the cancer with high accuracy. Using a convolutional neural network prediction model built with a deep-learning algorithm, researchers described high diagnostic sensitivity and specificity of a model, as reported in a study published in Feburary. The prediction model, developed using genetic mutations and clinicopathologic factors, showed high prediction efficacy, with validation in subclinical as well as clinical metastasis groups, suggesting broad applicability.

Adrenal tumors: Adrenal incidentalomas, or masses that are incidentally discovered when performing abdominal imaging for other reasons, can be a perplexing clinical challenge. Discovery of these is increasing as imaging technology advances. However, an AI-based machine learning approach utilizing CT is being developed to differentiate between subclinical pheochromocytoma and lipid-poor adenomas. As reported in a 2022 study, the prediction model scoring system used traditional radiological features on CT images to provide for a noninvasive method in assisting in the diagnosis and providing personalized care for people with adrenal tumors.

Osteoporosis – bone mineral density (BMD): In the diagnosis of osteoporosis, the measurement of BMD using dual-energy x-ray absorptiometry (DXA) is the gold standard. However, the availability of DXA devices in many countries is inadequate, leaving an unmet need for alternative approaches. But one AI-based algorithm shows promising diagnostic accuracy, compared with DXA, potentially providing a low-cost screening alternative for the early diagnosis of osteoporosis.  

Osteoporosis – Fracture Risk Assessment Tool (FRAX): In fracture risk and prevention, the free FRAX tool, available online, is the gold standard and recommended in nearly all osteoporosis guidelines. However, several studies on AI-based tools show some benefit over FRAX, including one approach using longitudinal data with conventional spine radiographs, showing predictive accuracy that exceeds FRAX.  

Osteoporosis – treatment: And for the often challenging process of treatment decision-making in osteoporosis, AI-based software, developed from more than 15,000 osteoporosis patients followed over 10 years, shows high accuracy in the prediction of response to treatment in terms of BMD increase, as described in another study. “Our results show that it is feasible to use a combination of electronic medical records–derived information to develop a machine-learning algorithm to predict a BMD response following osteoporosis treatment,” the authors reported. “This alternative approach can aid physicians to select an optimal therapeutic regimen in order to maximize a patient-specific treatment outcome.”
 

Chatbot wrinkles

The prospects of large language models (LLMs) and ChatGPT unleash the potential to understand and generate text in a similar capacity as humans. Although controversial, they could likewise be compelling.

However, such systems can be vastly more complex than earlier AI-based tools, and some studies are illustrating the kinds of stumbling blocks that need to be overcome.

For instance, in a study published in May, researchers explored the potential of ChatGPT 4.0 to synthesize clinical guidelines for diabetic ketoacidosis from three different sources to reflect the latest evidence and local context.

Such efforts are important but can be very resource-intensive when conducted without the use of AI assistance.

The study’s results showed that, although ChatGPT was able to generate a comprehensive table comparing the guidelines, there were multiple recurrent errors in misreporting and nonreporting, as well as inconsistencies, “rendering the results unreliable,” the authors wrote.

“Although ChatGPT demonstrates the potential for the synthesis of clinical guidelines, the presence of multiple recurrent errors and inconsistencies underscores the need for expert human intervention and validation,” the authors concluded.

Likewise, other research using ChatGPT for use in vitreoretinal diseases, including diabetic retinopathy, further demonstrated disappointing results, with the technology showing the chatbot provided completely accurate responses to only 8 (15.4%) of 52 questions, with some responses containing inappropriate or potentially harmful medical advice.

“For example, in response to ‘How do you get rid of epiretinal membrane?’, the platform described vitrectomy but also included incorrect options of injection therapy and laser therapy,” the authors wrote.

“The study highlights the limitations of using ChatGPT for the adaptation of clinical guidelines without expert human intervention,” they concluded.

And in research published in August that looked at the ability of ChatGPT to interpret guidelines – in this case 26 diagnosis descriptions from the National Comprehensive Cancer Network – results showed that as many as one-third of treatments recommended by the chatbot were at least partially not concordant with information stated in the NCCN guidelines, with recommendations varying based on how the question about treatment was presented.

“Clinicians should advise patients that LLM chatbots are not a reliable source of treatment information,” the authors wrote.
 

Diversity concerns

Among the most prominent concerns about chatbot inaccuracy has been the known lack of racial and ethnic diversity in large databases utilized in developing AI systems, potentially resulting in critical flaws in the information the systems produce.

In an editorial published with the NCCN guideline study, Atul Butte, MD, PhD, from the University of California, San Francisco, noted that the shortcomings should be weighed with the potential benefits.

“There is no doubt that AI and LLMs are not yet perfect, and they carry biases that will need to be addressed,” Dr. Butte wrote. “These algorithms will need to be carefully monitored as they are brought into health systems, [but] this does not alter the potential of how they can improve care for both the haves and have-nots of health care.”

In a comment, Dr. Butte elaborated that, once the system flaws are refined, a key benefit will be the broader application of top standards of care to more patients who may have limited resources.

“It is a privilege to get the very best level of care from the very best centers, but that privilege is not distributable to all right now,” Dr. Butte said.

“The real potential of LLMs and AI will be their ability to be trained from the patient, clinical, and outcomes data from the very best centers, and then used to deliver the best care through digital tools to all patients, especially to those without access to the best care or [those with] limited resources,” he said.

Further commenting on the issue of potential bias with chatbots, Matthew Li, MD, from the University of Alberta, Edmonton, said that awareness of the nature of the problem and need for diversity in data for training and testing AI-systems issues appears to be improving.

“Thanks to much research on this topic in recent years, I think most AI researchers in medicine are at least aware of these challenges now, which was not the case only a few years ago,” he said in an interview.

Across specialties, “the careful deployment of AI tools accounting for issues regarding AI model generalization, biases, and performance drift will be critical for ensuring safe and fair patient care,” Dr. Li noted.

On a broader level is the ongoing general concern of the potential for over-reliance on the technology by clinicians. For example, a recent study showing radiologists across all experience levels reading mammograms were prone to automation bias when being supported by an AI-based system.

“Concerns regarding over-reliance on AI remain,” said Dr. Li, who coauthored a study published in June on the issue.

“Ongoing research into and monitoring of the impact of AI systems as they are developed and deployed will be important to ensure safe patient care moving forward,” he said.

Ultimately, the clinical benefit of AI systems to patients should be the bottom line, Dr. Dimai added.

“In my opinion, the clinical relevance, i.e., the benefit for patients and/or physicians of a to-be-developed AI tool, must be clearly proven before its development starts and first clinical studies are carried out,” he said.

“This is not always the case,” Dr. Dimai said. “In other words, innovation per se should not be the only rationale and driving force for the development of such tools.”

Dr. Li, an associate editor for the journal Radiology: Artificial Intelligence, reports no relevant financial relationships. Dr. Dimai is a member of the key medical advisor team of Image Biopsy Lab.

A version of this article first appeared on Medscape.com.

The actress Sally Field recently described her struggles with postmenopausal osteoporosis – she was given the diagnosis when she was 60 years old despite being physically active and engaging in activities such as biking, hiking, and yoga. As a slim, White woman in her sixth decade of life, she certainly had several risk factors for osteoporosis.

Osteoporosis, a condition associated with weak bones and an increased risk for fracture, is common in women after menopause. It’s defined as a bone mineral density (BMD) T-score of less than or equal to –2.5 on dual-energy x-ray absorptiometry (DXA) scan, occurrence of a spine or hip fracture regardless of BMD, or a BMD T-score between –1 and –2.5, along with a history of certain kinds of fractures or increased fracture risk based on the Fracture Risk Assessment Tool (FRAX).

Massachusetts General Hospital

Why increased fracture risk in postmenopausal women?

The primary cause of postmenopausal osteoporosis is the cessation of estrogen production by the ovaries around the menopausal transition. Estrogen is very important for bone health. It reduces bone loss by reducing levels of receptor activator of NF-kappa B ligand (RANKL) and sclerostin, and it probably also increases bone formation through its effects on sclerostin.

Around menopause, the decrease in estrogen levels results in an increase in RANKL and sclerostin, with a consequent increase in bone loss at a pace that exceeds the rate of bone formation, thereby leading to osteoporosis.

Many factors further increase the risk for osteoporosis and fracture in postmenopausal women. These include a sedentary lifestyle, lower body weight, family history of osteoporosis, smoking, and certain medications and diseases. Medications that adversely affect bone health at this age include (but are not limited to) glucocorticoids such as hydrocortisone, prednisone, and dexamethasone; letrozole; excess thyroid hormone; certain drugs used to treat cancer; immunosuppressive drugs; certain antiseizure medications; proton pump inhibitors (such as omeprazole); sodium-glucose cotransporter 2 inhibitors and certain other drugs used to treat type 2 diabetes; and selective serotonin reuptake inhibitors and serotonin and norepinephrine reuptake inhibitors (used to treat anxiety and depression).

Diseases associated with increased osteoporosis risk include certain genetic conditions affecting bone, a history of early ovarian insufficiency, hyperthyroidism, high levels of cortisol, diabetes, hyperparathyroidism, eating disorders, obesity, calcium and vitamin D deficiency, excess urinary excretion of calcium, malabsorption and certain gastrointestinal surgeries, chronic kidney disease, rheumatoid arthritis, certain types of cancer, and frailty.

Furthermore, older age, low bone density, a previous history of fracture, a family history of hip fracture, smoking, and excessive alcohol intake increase the risk for an osteoporotic fracture in a postmenopausal woman.

Bone density assessment using DXA is recommended in postmenopausal women who are at increased risk for low bone density and fracture. Monitoring of bone density is typically initiated about 5 years after the menopausal transition but should be considered earlier in those at high risk for osteoporosis. Women who are aged 70 or older, and those who have had significant height loss, should also get radiography of the spine to look for vertebral fractures.

Optimal nutrition is important for all postmenopausal women. Weight extremes are to be avoided. Although the use of calcium and vitamin D supplementation in postmenopausal women is still debated, the Institute of Medicine recommends that women 51-70 years of age take 1,000-1,200 mg of calcium and 400-600 IU of vitamin D daily, and that those older than 70 years take 1,000-1,200 mg of calcium and 400-800 IU of vitamin D daily.

Women with low vitamin D levels often require higher doses of vitamin D. It’s very important to avoid smoking and excessive alcohol consumption. Optimizing protein intake and exercises that improve muscle strength and improve balance can reduce the risk for falls, a key contributor to osteoporotic fractures.
 

Estrogen to prevent fracture risk

Because estrogen deficiency is a key cause of postmenopausal osteoporosis, estrogen replacement therapy has been used to prevent this condition, particularly early in the menopausal transition (51-60 years). Different formulations of estrogen given via oral or transdermal routes have been demonstrated to prevent osteoporosis; transdermal estrogen is often preferred because of a lower risk for blood clots and stroke. Women who have an intact uterus should also receive a progestin preparation either daily or cyclically, because estrogen alone can increase the risk for uterine cancer in the long run. Estrogen replacement has been associated with a 34% reduction in vertebral, hip, and total fractures in women of this age group.

Sally Field did receive hormone replacement therapy, which was helpful for her bones. However, as typically happens, her bone density dropped again when she discontinued hormone replacement. She also had low vitamin D levels, but vitamin D supplementation was not helpful. She received other medical intervention, with recovery back to good bone health.

Raloxifene is a medication that acts on the estrogen receptor, with beneficial effects on bone, and is approved for prevention and treatment of postmenopausal osteoporosis.

Medications that reduce bone loss (antiresorptive drugs), such as bisphosphonates and denosumab, and those that increase bone formation (osteoanabolic drugs), such as teriparatide, abaloparatide, and romosozumab, are used alone or in combination in women whose osteoporosis doesn’t respond to lifestyle and preventive strategies. The osteoanabolic drugs are typically reserved for women at very high risk for fractures, such as those with a BMD T-score ≤ less than or equal to –3, older women with recent fractures, and those with other risk factors. Treatment is typically lifelong.

Postmenopausal osteoporosis can have far-reaching consequences on one’s quality of life, given the risk for fractures that are often associated with hospitalization, surgery, and long periods of rehabilitation (such as fractures of the spine and hip). It’s important to recognize those at greatest risk for this condition; implement bone health monitoring in a timely fashion; and ensure optimal nutrition, calcium and vitamin D supplementation, and exercises that optimize muscle strength and balance. Hormone replacement therapy is a consideration in many women. Some women will require antiresorptive or osteoanabolic drugs to manage this condition. With optimal treatment, older women can live long and productive lives.

Dr. Misra is Chief, Division of Pediatric Endocrinology, Mass General for Children; Associate Director, Harvard Catalyst Translation and Clinical Research Center; Director, Pediatric Endocrine-Sports Endocrine-Neuroendocrine Lab, Mass General Hospital; Professor, department of pediatrics, Harvard Medical School, Boston. She has disclosed the following relevant financial relationships: Serve(d) as a director, officer, partner, employee, advisor, consultant, or trustee for: AbbVie; Sanofi; Ipsen.

A version of this article first appeared on Medscape.com.

The actress Sally Field recently described her struggles with postmenopausal osteoporosis – she was given the diagnosis when she was 60 years old despite being physically active and engaging in activities such as biking, hiking, and yoga. As a slim, White woman in her sixth decade of life, she certainly had several risk factors for osteoporosis.

Osteoporosis, a condition associated with weak bones and an increased risk for fracture, is common in women after menopause. It’s defined as a bone mineral density (BMD) T-score of less than or equal to –2.5 on dual-energy x-ray absorptiometry (DXA) scan, occurrence of a spine or hip fracture regardless of BMD, or a BMD T-score between –1 and –2.5, along with a history of certain kinds of fractures or increased fracture risk based on the Fracture Risk Assessment Tool (FRAX).

Massachusetts General Hospital

Why increased fracture risk in postmenopausal women?

The primary cause of postmenopausal osteoporosis is the cessation of estrogen production by the ovaries around the menopausal transition. Estrogen is very important for bone health. It reduces bone loss by reducing levels of receptor activator of NF-kappa B ligand (RANKL) and sclerostin, and it probably also increases bone formation through its effects on sclerostin.

Around menopause, the decrease in estrogen levels results in an increase in RANKL and sclerostin, with a consequent increase in bone loss at a pace that exceeds the rate of bone formation, thereby leading to osteoporosis.

Many factors further increase the risk for osteoporosis and fracture in postmenopausal women. These include a sedentary lifestyle, lower body weight, family history of osteoporosis, smoking, and certain medications and diseases. Medications that adversely affect bone health at this age include (but are not limited to) glucocorticoids such as hydrocortisone, prednisone, and dexamethasone; letrozole; excess thyroid hormone; certain drugs used to treat cancer; immunosuppressive drugs; certain antiseizure medications; proton pump inhibitors (such as omeprazole); sodium-glucose cotransporter 2 inhibitors and certain other drugs used to treat type 2 diabetes; and selective serotonin reuptake inhibitors and serotonin and norepinephrine reuptake inhibitors (used to treat anxiety and depression).

Diseases associated with increased osteoporosis risk include certain genetic conditions affecting bone, a history of early ovarian insufficiency, hyperthyroidism, high levels of cortisol, diabetes, hyperparathyroidism, eating disorders, obesity, calcium and vitamin D deficiency, excess urinary excretion of calcium, malabsorption and certain gastrointestinal surgeries, chronic kidney disease, rheumatoid arthritis, certain types of cancer, and frailty.

Furthermore, older age, low bone density, a previous history of fracture, a family history of hip fracture, smoking, and excessive alcohol intake increase the risk for an osteoporotic fracture in a postmenopausal woman.

Bone density assessment using DXA is recommended in postmenopausal women who are at increased risk for low bone density and fracture. Monitoring of bone density is typically initiated about 5 years after the menopausal transition but should be considered earlier in those at high risk for osteoporosis. Women who are aged 70 or older, and those who have had significant height loss, should also get radiography of the spine to look for vertebral fractures.

Optimal nutrition is important for all postmenopausal women. Weight extremes are to be avoided. Although the use of calcium and vitamin D supplementation in postmenopausal women is still debated, the Institute of Medicine recommends that women 51-70 years of age take 1,000-1,200 mg of calcium and 400-600 IU of vitamin D daily, and that those older than 70 years take 1,000-1,200 mg of calcium and 400-800 IU of vitamin D daily.

Women with low vitamin D levels often require higher doses of vitamin D. It’s very important to avoid smoking and excessive alcohol consumption. Optimizing protein intake and exercises that improve muscle strength and improve balance can reduce the risk for falls, a key contributor to osteoporotic fractures.
 

Estrogen to prevent fracture risk

Because estrogen deficiency is a key cause of postmenopausal osteoporosis, estrogen replacement therapy has been used to prevent this condition, particularly early in the menopausal transition (51-60 years). Different formulations of estrogen given via oral or transdermal routes have been demonstrated to prevent osteoporosis; transdermal estrogen is often preferred because of a lower risk for blood clots and stroke. Women who have an intact uterus should also receive a progestin preparation either daily or cyclically, because estrogen alone can increase the risk for uterine cancer in the long run. Estrogen replacement has been associated with a 34% reduction in vertebral, hip, and total fractures in women of this age group.

Sally Field did receive hormone replacement therapy, which was helpful for her bones. However, as typically happens, her bone density dropped again when she discontinued hormone replacement. She also had low vitamin D levels, but vitamin D supplementation was not helpful. She received other medical intervention, with recovery back to good bone health.

Raloxifene is a medication that acts on the estrogen receptor, with beneficial effects on bone, and is approved for prevention and treatment of postmenopausal osteoporosis.

Medications that reduce bone loss (antiresorptive drugs), such as bisphosphonates and denosumab, and those that increase bone formation (osteoanabolic drugs), such as teriparatide, abaloparatide, and romosozumab, are used alone or in combination in women whose osteoporosis doesn’t respond to lifestyle and preventive strategies. The osteoanabolic drugs are typically reserved for women at very high risk for fractures, such as those with a BMD T-score ≤ less than or equal to –3, older women with recent fractures, and those with other risk factors. Treatment is typically lifelong.

Postmenopausal osteoporosis can have far-reaching consequences on one’s quality of life, given the risk for fractures that are often associated with hospitalization, surgery, and long periods of rehabilitation (such as fractures of the spine and hip). It’s important to recognize those at greatest risk for this condition; implement bone health monitoring in a timely fashion; and ensure optimal nutrition, calcium and vitamin D supplementation, and exercises that optimize muscle strength and balance. Hormone replacement therapy is a consideration in many women. Some women will require antiresorptive or osteoanabolic drugs to manage this condition. With optimal treatment, older women can live long and productive lives.

Dr. Misra is Chief, Division of Pediatric Endocrinology, Mass General for Children; Associate Director, Harvard Catalyst Translation and Clinical Research Center; Director, Pediatric Endocrine-Sports Endocrine-Neuroendocrine Lab, Mass General Hospital; Professor, department of pediatrics, Harvard Medical School, Boston. She has disclosed the following relevant financial relationships: Serve(d) as a director, officer, partner, employee, advisor, consultant, or trustee for: AbbVie; Sanofi; Ipsen.

A version of this article first appeared on Medscape.com.

The actress Sally Field recently described her struggles with postmenopausal osteoporosis – she was given the diagnosis when she was 60 years old despite being physically active and engaging in activities such as biking, hiking, and yoga. As a slim, White woman in her sixth decade of life, she certainly had several risk factors for osteoporosis.

Osteoporosis, a condition associated with weak bones and an increased risk for fracture, is common in women after menopause. It’s defined as a bone mineral density (BMD) T-score of less than or equal to –2.5 on dual-energy x-ray absorptiometry (DXA) scan, occurrence of a spine or hip fracture regardless of BMD, or a BMD T-score between –1 and –2.5, along with a history of certain kinds of fractures or increased fracture risk based on the Fracture Risk Assessment Tool (FRAX).

Massachusetts General Hospital

Why increased fracture risk in postmenopausal women?

The primary cause of postmenopausal osteoporosis is the cessation of estrogen production by the ovaries around the menopausal transition. Estrogen is very important for bone health. It reduces bone loss by reducing levels of receptor activator of NF-kappa B ligand (RANKL) and sclerostin, and it probably also increases bone formation through its effects on sclerostin.

Around menopause, the decrease in estrogen levels results in an increase in RANKL and sclerostin, with a consequent increase in bone loss at a pace that exceeds the rate of bone formation, thereby leading to osteoporosis.

Many factors further increase the risk for osteoporosis and fracture in postmenopausal women. These include a sedentary lifestyle, lower body weight, family history of osteoporosis, smoking, and certain medications and diseases. Medications that adversely affect bone health at this age include (but are not limited to) glucocorticoids such as hydrocortisone, prednisone, and dexamethasone; letrozole; excess thyroid hormone; certain drugs used to treat cancer; immunosuppressive drugs; certain antiseizure medications; proton pump inhibitors (such as omeprazole); sodium-glucose cotransporter 2 inhibitors and certain other drugs used to treat type 2 diabetes; and selective serotonin reuptake inhibitors and serotonin and norepinephrine reuptake inhibitors (used to treat anxiety and depression).

Diseases associated with increased osteoporosis risk include certain genetic conditions affecting bone, a history of early ovarian insufficiency, hyperthyroidism, high levels of cortisol, diabetes, hyperparathyroidism, eating disorders, obesity, calcium and vitamin D deficiency, excess urinary excretion of calcium, malabsorption and certain gastrointestinal surgeries, chronic kidney disease, rheumatoid arthritis, certain types of cancer, and frailty.

Furthermore, older age, low bone density, a previous history of fracture, a family history of hip fracture, smoking, and excessive alcohol intake increase the risk for an osteoporotic fracture in a postmenopausal woman.

Bone density assessment using DXA is recommended in postmenopausal women who are at increased risk for low bone density and fracture. Monitoring of bone density is typically initiated about 5 years after the menopausal transition but should be considered earlier in those at high risk for osteoporosis. Women who are aged 70 or older, and those who have had significant height loss, should also get radiography of the spine to look for vertebral fractures.

Optimal nutrition is important for all postmenopausal women. Weight extremes are to be avoided. Although the use of calcium and vitamin D supplementation in postmenopausal women is still debated, the Institute of Medicine recommends that women 51-70 years of age take 1,000-1,200 mg of calcium and 400-600 IU of vitamin D daily, and that those older than 70 years take 1,000-1,200 mg of calcium and 400-800 IU of vitamin D daily.

Women with low vitamin D levels often require higher doses of vitamin D. It’s very important to avoid smoking and excessive alcohol consumption. Optimizing protein intake and exercises that improve muscle strength and improve balance can reduce the risk for falls, a key contributor to osteoporotic fractures.
 

Estrogen to prevent fracture risk

Because estrogen deficiency is a key cause of postmenopausal osteoporosis, estrogen replacement therapy has been used to prevent this condition, particularly early in the menopausal transition (51-60 years). Different formulations of estrogen given via oral or transdermal routes have been demonstrated to prevent osteoporosis; transdermal estrogen is often preferred because of a lower risk for blood clots and stroke. Women who have an intact uterus should also receive a progestin preparation either daily or cyclically, because estrogen alone can increase the risk for uterine cancer in the long run. Estrogen replacement has been associated with a 34% reduction in vertebral, hip, and total fractures in women of this age group.

Sally Field did receive hormone replacement therapy, which was helpful for her bones. However, as typically happens, her bone density dropped again when she discontinued hormone replacement. She also had low vitamin D levels, but vitamin D supplementation was not helpful. She received other medical intervention, with recovery back to good bone health.

Raloxifene is a medication that acts on the estrogen receptor, with beneficial effects on bone, and is approved for prevention and treatment of postmenopausal osteoporosis.

Medications that reduce bone loss (antiresorptive drugs), such as bisphosphonates and denosumab, and those that increase bone formation (osteoanabolic drugs), such as teriparatide, abaloparatide, and romosozumab, are used alone or in combination in women whose osteoporosis doesn’t respond to lifestyle and preventive strategies. The osteoanabolic drugs are typically reserved for women at very high risk for fractures, such as those with a BMD T-score ≤ less than or equal to –3, older women with recent fractures, and those with other risk factors. Treatment is typically lifelong.

Postmenopausal osteoporosis can have far-reaching consequences on one’s quality of life, given the risk for fractures that are often associated with hospitalization, surgery, and long periods of rehabilitation (such as fractures of the spine and hip). It’s important to recognize those at greatest risk for this condition; implement bone health monitoring in a timely fashion; and ensure optimal nutrition, calcium and vitamin D supplementation, and exercises that optimize muscle strength and balance. Hormone replacement therapy is a consideration in many women. Some women will require antiresorptive or osteoanabolic drugs to manage this condition. With optimal treatment, older women can live long and productive lives.

Dr. Misra is Chief, Division of Pediatric Endocrinology, Mass General for Children; Associate Director, Harvard Catalyst Translation and Clinical Research Center; Director, Pediatric Endocrine-Sports Endocrine-Neuroendocrine Lab, Mass General Hospital; Professor, department of pediatrics, Harvard Medical School, Boston. She has disclosed the following relevant financial relationships: Serve(d) as a director, officer, partner, employee, advisor, consultant, or trustee for: AbbVie; Sanofi; Ipsen.

A version of this article first appeared on Medscape.com.

Patients sometimes want to give back to their physician or hospital. In recent years, the practice of soliciting donations from these patients has grown into structured fundraising initiatives at some health care organizations. Some employers mandate clinicians solicit donations, while other doctors participate voluntarily.

But the nation’s second-largest physician group is cautioning its members not to ask their patients for donations to the clinician’s workplace.

“In recent decades, more physician practices have become part of large health systems: these arrangements can offer benefits to care but can also lead to interference in the patient-physician relationship and challenges to the physician’s ethical responsibilities to patients,” said Omar T. Atiq, MD, president of the American College of Physicians.

Grateful patient fundraising (GPF) is largely based on models of charitable giving outside of health care and is relatively new to the industry. Simply defined, it is the solicitation of donations by doctors from current and former patients. Funds may be used for operating costs, clinical research, equipment upgrades, or facility improvements.

In a newly published position paper, the ACP, which represents roughly 161,000 physicians, is clear that clinicians should not try to convert their patients into donors.

“Physicians who directly solicit funds from their own patients do risk interfering with the physician-patient relationship, which is supposed to be based on the patient’s best interests, not the physicians’ interests,” said Stacey A. Tovino, JD, PhD, director of health care law programs at the University of Oklahoma, Norman.

Once involved in fundraising, patients may also develop an unrealistic expectation of what kind of care they should receive, according to the ACP.

Another pitfall clinicians may fall into is the HIPAA Privacy Rule. In 2013, HIPAA was expanded to allow hospital fundraisers to access privileged health information, including demographic, health insurance, treating clinician, and data on outcomes. Dr. Atiq said that, since then, electronic health records have been used as tools to aide fundraising efforts. For instance, some health care organizations have embedded a feature inside EHRs to allow physicians to flag development officers when a patient or family member might be a potential donor. 

Patients may be unaware that hospital fundraising departments have access to their electronic health records, or that they have the right to opt out of fundraising solicitations.

“Physicians should not use or reveal patient information for fundraising,” Dr. Atiq said. “Even acknowledging that a person is under one’s care can make it possible for protected health information to be revealed.”

Data-mining EHRs may be legal, Ms. Tovino said, but it hugs a fine ethical line.

“A patient may not expect that their information will be used for these purposes and may not know how to opt out of having their information used in these ways,” Ms. Tovino said.

A clinician’s employment contract, whether it be a full-time position or for specific admitting privileges, may make it hard for them to push back against expectations to ask patients for money or screen for donors. Metrics or expectations to approach potential donors create ethical snares for clinicians – and it pits them between their patient and place of employment.

“GPF does raise ethical concerns, including those surrounding confidentiality and privacy, and whether physicians are being remunerated or evaluated based on their participation,” Ms. Tovino said.

Asked how doctors can avoid being involved in GPF, Dr. Atiq referred to the ACP ethics manual, which separates clinicians from fundraising.

“Redirecting the patient to discuss donations with institutional administrators provides the appropriate venue and firewall,” he said.

An author of the ACP paper reported a paid position on the board of the Government Employees Health Association.

A version of this article first appeared on Medscape.com.

Patients sometimes want to give back to their physician or hospital. In recent years, the practice of soliciting donations from these patients has grown into structured fundraising initiatives at some health care organizations. Some employers mandate clinicians solicit donations, while other doctors participate voluntarily.

But the nation’s second-largest physician group is cautioning its members not to ask their patients for donations to the clinician’s workplace.

“In recent decades, more physician practices have become part of large health systems: these arrangements can offer benefits to care but can also lead to interference in the patient-physician relationship and challenges to the physician’s ethical responsibilities to patients,” said Omar T. Atiq, MD, president of the American College of Physicians.

Grateful patient fundraising (GPF) is largely based on models of charitable giving outside of health care and is relatively new to the industry. Simply defined, it is the solicitation of donations by doctors from current and former patients. Funds may be used for operating costs, clinical research, equipment upgrades, or facility improvements.

In a newly published position paper, the ACP, which represents roughly 161,000 physicians, is clear that clinicians should not try to convert their patients into donors.

“Physicians who directly solicit funds from their own patients do risk interfering with the physician-patient relationship, which is supposed to be based on the patient’s best interests, not the physicians’ interests,” said Stacey A. Tovino, JD, PhD, director of health care law programs at the University of Oklahoma, Norman.

Once involved in fundraising, patients may also develop an unrealistic expectation of what kind of care they should receive, according to the ACP.

Another pitfall clinicians may fall into is the HIPAA Privacy Rule. In 2013, HIPAA was expanded to allow hospital fundraisers to access privileged health information, including demographic, health insurance, treating clinician, and data on outcomes. Dr. Atiq said that, since then, electronic health records have been used as tools to aide fundraising efforts. For instance, some health care organizations have embedded a feature inside EHRs to allow physicians to flag development officers when a patient or family member might be a potential donor. 

Patients may be unaware that hospital fundraising departments have access to their electronic health records, or that they have the right to opt out of fundraising solicitations.

“Physicians should not use or reveal patient information for fundraising,” Dr. Atiq said. “Even acknowledging that a person is under one’s care can make it possible for protected health information to be revealed.”

Data-mining EHRs may be legal, Ms. Tovino said, but it hugs a fine ethical line.

“A patient may not expect that their information will be used for these purposes and may not know how to opt out of having their information used in these ways,” Ms. Tovino said.

A clinician’s employment contract, whether it be a full-time position or for specific admitting privileges, may make it hard for them to push back against expectations to ask patients for money or screen for donors. Metrics or expectations to approach potential donors create ethical snares for clinicians – and it pits them between their patient and place of employment.

“GPF does raise ethical concerns, including those surrounding confidentiality and privacy, and whether physicians are being remunerated or evaluated based on their participation,” Ms. Tovino said.

Asked how doctors can avoid being involved in GPF, Dr. Atiq referred to the ACP ethics manual, which separates clinicians from fundraising.

“Redirecting the patient to discuss donations with institutional administrators provides the appropriate venue and firewall,” he said.

An author of the ACP paper reported a paid position on the board of the Government Employees Health Association.

A version of this article first appeared on Medscape.com.

Patients sometimes want to give back to their physician or hospital. In recent years, the practice of soliciting donations from these patients has grown into structured fundraising initiatives at some health care organizations. Some employers mandate clinicians solicit donations, while other doctors participate voluntarily.

But the nation’s second-largest physician group is cautioning its members not to ask their patients for donations to the clinician’s workplace.

“In recent decades, more physician practices have become part of large health systems: these arrangements can offer benefits to care but can also lead to interference in the patient-physician relationship and challenges to the physician’s ethical responsibilities to patients,” said Omar T. Atiq, MD, president of the American College of Physicians.

Grateful patient fundraising (GPF) is largely based on models of charitable giving outside of health care and is relatively new to the industry. Simply defined, it is the solicitation of donations by doctors from current and former patients. Funds may be used for operating costs, clinical research, equipment upgrades, or facility improvements.

In a newly published position paper, the ACP, which represents roughly 161,000 physicians, is clear that clinicians should not try to convert their patients into donors.

“Physicians who directly solicit funds from their own patients do risk interfering with the physician-patient relationship, which is supposed to be based on the patient’s best interests, not the physicians’ interests,” said Stacey A. Tovino, JD, PhD, director of health care law programs at the University of Oklahoma, Norman.

Once involved in fundraising, patients may also develop an unrealistic expectation of what kind of care they should receive, according to the ACP.

Another pitfall clinicians may fall into is the HIPAA Privacy Rule. In 2013, HIPAA was expanded to allow hospital fundraisers to access privileged health information, including demographic, health insurance, treating clinician, and data on outcomes. Dr. Atiq said that, since then, electronic health records have been used as tools to aide fundraising efforts. For instance, some health care organizations have embedded a feature inside EHRs to allow physicians to flag development officers when a patient or family member might be a potential donor. 

Patients may be unaware that hospital fundraising departments have access to their electronic health records, or that they have the right to opt out of fundraising solicitations.

“Physicians should not use or reveal patient information for fundraising,” Dr. Atiq said. “Even acknowledging that a person is under one’s care can make it possible for protected health information to be revealed.”

Data-mining EHRs may be legal, Ms. Tovino said, but it hugs a fine ethical line.

“A patient may not expect that their information will be used for these purposes and may not know how to opt out of having their information used in these ways,” Ms. Tovino said.

A clinician’s employment contract, whether it be a full-time position or for specific admitting privileges, may make it hard for them to push back against expectations to ask patients for money or screen for donors. Metrics or expectations to approach potential donors create ethical snares for clinicians – and it pits them between their patient and place of employment.

“GPF does raise ethical concerns, including those surrounding confidentiality and privacy, and whether physicians are being remunerated or evaluated based on their participation,” Ms. Tovino said.

Asked how doctors can avoid being involved in GPF, Dr. Atiq referred to the ACP ethics manual, which separates clinicians from fundraising.

“Redirecting the patient to discuss donations with institutional administrators provides the appropriate venue and firewall,” he said.

An author of the ACP paper reported a paid position on the board of the Government Employees Health Association.

A version of this article first appeared on Medscape.com.

Nonmenstruating women were more likely to experience unexpected vaginal bleeding after receiving COVID-19 vaccinations, according to a new study.

The researchers suggested it could have been connected to the SARS-CoV-2 spike protein in the vaccines. The study was published in Science Advances.

After vaccinations became widely available, many women reported heavier menstrual bleeding than normal. Researchers at the Norwegian Institute of Public Health in Oslo examined the data, particularly among women who do not have periods, such as those who have been through menopause or are taking contraceptives.

The researchers used an ongoing population health survey called the Norwegian Mother, Father, and Child Cohort Study, Nature reported. They examined more than 21,000 responses from postmenopausal, perimenopausal, and nonmenstruating premenopausal women. Some were on long-term hormonal contraceptives.

They learned that 252 postmenopausal women, 1,008 perimenopausal women, and 924 premenopausal women reported having unexpected vaginal bleeding.

About half said the bleeding occurred within 4 weeks of the first or second shot or both. The risk of bleeding was up three to five times for premenopausal and perimenopausal women, and two to three times for postmenopausal women, the researchers found.

Postmenopausal bleeding is usually serious and can be a sign of cancer. “Knowing a patient’s vaccination status could put their bleeding incidence into context,” said Kate Clancy, a biological anthropologist at the University of Illinois at Urbana-Champaign.

The study received funding through the Norwegian Institute of Public Health and Research Council of Norway. The researchers reported no conflicts of interest.

A version of this article first appeared on WebMD.com.

Nonmenstruating women were more likely to experience unexpected vaginal bleeding after receiving COVID-19 vaccinations, according to a new study.

The researchers suggested it could have been connected to the SARS-CoV-2 spike protein in the vaccines. The study was published in Science Advances.

After vaccinations became widely available, many women reported heavier menstrual bleeding than normal. Researchers at the Norwegian Institute of Public Health in Oslo examined the data, particularly among women who do not have periods, such as those who have been through menopause or are taking contraceptives.

The researchers used an ongoing population health survey called the Norwegian Mother, Father, and Child Cohort Study, Nature reported. They examined more than 21,000 responses from postmenopausal, perimenopausal, and nonmenstruating premenopausal women. Some were on long-term hormonal contraceptives.

They learned that 252 postmenopausal women, 1,008 perimenopausal women, and 924 premenopausal women reported having unexpected vaginal bleeding.

About half said the bleeding occurred within 4 weeks of the first or second shot or both. The risk of bleeding was up three to five times for premenopausal and perimenopausal women, and two to three times for postmenopausal women, the researchers found.

Postmenopausal bleeding is usually serious and can be a sign of cancer. “Knowing a patient’s vaccination status could put their bleeding incidence into context,” said Kate Clancy, a biological anthropologist at the University of Illinois at Urbana-Champaign.

The study received funding through the Norwegian Institute of Public Health and Research Council of Norway. The researchers reported no conflicts of interest.

A version of this article first appeared on WebMD.com.

Nonmenstruating women were more likely to experience unexpected vaginal bleeding after receiving COVID-19 vaccinations, according to a new study.

The researchers suggested it could have been connected to the SARS-CoV-2 spike protein in the vaccines. The study was published in Science Advances.

After vaccinations became widely available, many women reported heavier menstrual bleeding than normal. Researchers at the Norwegian Institute of Public Health in Oslo examined the data, particularly among women who do not have periods, such as those who have been through menopause or are taking contraceptives.

The researchers used an ongoing population health survey called the Norwegian Mother, Father, and Child Cohort Study, Nature reported. They examined more than 21,000 responses from postmenopausal, perimenopausal, and nonmenstruating premenopausal women. Some were on long-term hormonal contraceptives.

They learned that 252 postmenopausal women, 1,008 perimenopausal women, and 924 premenopausal women reported having unexpected vaginal bleeding.

About half said the bleeding occurred within 4 weeks of the first or second shot or both. The risk of bleeding was up three to five times for premenopausal and perimenopausal women, and two to three times for postmenopausal women, the researchers found.

Postmenopausal bleeding is usually serious and can be a sign of cancer. “Knowing a patient’s vaccination status could put their bleeding incidence into context,” said Kate Clancy, a biological anthropologist at the University of Illinois at Urbana-Champaign.

The study received funding through the Norwegian Institute of Public Health and Research Council of Norway. The researchers reported no conflicts of interest.

A version of this article first appeared on WebMD.com.

TOPLINE:

Patients older than age 70 years have a 23% lower risk of a first major vascular events with each 1 mmol/L lowering of low-density lipoprotein (LDL) cholesterol, which is similar to the benefit seen among younger patients in primary prevention, new research shows.

METHODOLOGY:

• Using various cross-linked Danish registries, researchers analyzed 65,190 participants aged 50 years and older (49,155 aged 50-69 and 16,035 aged 70+) without a history of atherosclerotic cardiovascular disease (ASCVD) who initiated new lipid-lowering treatment and had a baseline LDL cholesterol measurement and a subsequent measurement within a year.
• The primary outcome was hospitalization for a major vascular event, defined as a composite of acute coronary syndrome, nonhemorrhagic stroke, and coronary revascularization. Secondary outcomes included individual cardiovascular components of the primary outcome and all-cause mortality.

TAKEAWAY:

• During a median follow-up of 2.5 years, 626 older (70 years and over) and 1,123 younger (aged 50-69) participants had a major vascular event, with crude incidence rates of 13.4 and 7.1 per 1000 person-years, respectively.
• After adjustment for potential confounders, each 1-mmol/L reduction in LDL cholesterol in people aged 70 and older was associated with a significant 23% lower risk for major vascular events (hazard ratio [HR] 0.77; 95% confidence interval [CI], 0.71-0.83), similar to results for those younger than 70 (HR, 0.76; 95% CI, 0.71-0.80; P value for the difference between the age groups, 0.79).
• Results across all cardiovascular secondary analyses supported the main findings, and there was no significant difference between older and younger participants across all subgroup analyses, including using 75 years as the age cutoff.
• There was no association with all-cause mortality for either the older (HR, 1.03; 95% CI, 0.98-1.09) or younger (HR, 1.00; 95% CI, 0.95-1.06) groups.

IN PRACTICE:

“Our results, based on a substantial sample size representative of a contemporary general population, may contribute to informing future guideline recommendations,” and to discussions with older patients about the benefits of LDL lowering therapy, the authors wrote. They stressed that any potential benefits should be balanced against potential harms in this population, as these individuals may have comorbidities and may be taking multiple medications.

In an accompanying editorial, Safi U. Khan, MD, from the department of cardiology at Houston Methodist DeBakey Heart and Vascular Center, said the study “contributes valuable insights regarding the effects of LDL-C-lowering therapy, especially as the burgeoning aging population faces escalating burden of ASCVD,” and added future research “should focus on corroborating these findings and addressing the safety of lipid-lowering treatments in older individuals.”
 

SOURCE:

The study was conducted by Niklas Worm Andersson, MD, department of epidemiology research, Statens Serum Institut, Copenhagen, and colleagues. It was published online Journal of the American College of Cardiology.

LIMITATIONS:

The results may not apply to individuals without LDL monitoring when receiving lipid-lowering treatment. Outcomes relied on the validity of recorded diagnostic codes in the registries, and medical record review of cases was not done. Residual confounding can’t be ruled out, in part because data on potentially important risk factors such as smoking, blood pressure, and body mass index weren’t available. The results may not generalize to clinical scenarios or subpopulations not directly studied.

DISCLOSURES:

Dr. Andersson has no relevant conflicts of interest. Author Tine Lovsø Dohlmann, PhD, was employed by Statens Serum Institut during the study, but has been employed by Novo Nordisk since January 2023. All other study authors and the editorialist Dr. Khan have no relevant conflicts of interest.

A version of this article first appeared on Medscape.com.

TOPLINE:

Patients older than age 70 years have a 23% lower risk of a first major vascular events with each 1 mmol/L lowering of low-density lipoprotein (LDL) cholesterol, which is similar to the benefit seen among younger patients in primary prevention, new research shows.

METHODOLOGY:

• Using various cross-linked Danish registries, researchers analyzed 65,190 participants aged 50 years and older (49,155 aged 50-69 and 16,035 aged 70+) without a history of atherosclerotic cardiovascular disease (ASCVD) who initiated new lipid-lowering treatment and had a baseline LDL cholesterol measurement and a subsequent measurement within a year.
• The primary outcome was hospitalization for a major vascular event, defined as a composite of acute coronary syndrome, nonhemorrhagic stroke, and coronary revascularization. Secondary outcomes included individual cardiovascular components of the primary outcome and all-cause mortality.

TAKEAWAY:

• During a median follow-up of 2.5 years, 626 older (70 years and over) and 1,123 younger (aged 50-69) participants had a major vascular event, with crude incidence rates of 13.4 and 7.1 per 1000 person-years, respectively.
• After adjustment for potential confounders, each 1-mmol/L reduction in LDL cholesterol in people aged 70 and older was associated with a significant 23% lower risk for major vascular events (hazard ratio [HR] 0.77; 95% confidence interval [CI], 0.71-0.83), similar to results for those younger than 70 (HR, 0.76; 95% CI, 0.71-0.80; P value for the difference between the age groups, 0.79).
• Results across all cardiovascular secondary analyses supported the main findings, and there was no significant difference between older and younger participants across all subgroup analyses, including using 75 years as the age cutoff.
• There was no association with all-cause mortality for either the older (HR, 1.03; 95% CI, 0.98-1.09) or younger (HR, 1.00; 95% CI, 0.95-1.06) groups.

IN PRACTICE:

“Our results, based on a substantial sample size representative of a contemporary general population, may contribute to informing future guideline recommendations,” and to discussions with older patients about the benefits of LDL lowering therapy, the authors wrote. They stressed that any potential benefits should be balanced against potential harms in this population, as these individuals may have comorbidities and may be taking multiple medications.

In an accompanying editorial, Safi U. Khan, MD, from the department of cardiology at Houston Methodist DeBakey Heart and Vascular Center, said the study “contributes valuable insights regarding the effects of LDL-C-lowering therapy, especially as the burgeoning aging population faces escalating burden of ASCVD,” and added future research “should focus on corroborating these findings and addressing the safety of lipid-lowering treatments in older individuals.”
 

SOURCE:

The study was conducted by Niklas Worm Andersson, MD, department of epidemiology research, Statens Serum Institut, Copenhagen, and colleagues. It was published online Journal of the American College of Cardiology.

LIMITATIONS:

The results may not apply to individuals without LDL monitoring when receiving lipid-lowering treatment. Outcomes relied on the validity of recorded diagnostic codes in the registries, and medical record review of cases was not done. Residual confounding can’t be ruled out, in part because data on potentially important risk factors such as smoking, blood pressure, and body mass index weren’t available. The results may not generalize to clinical scenarios or subpopulations not directly studied.

DISCLOSURES:

Dr. Andersson has no relevant conflicts of interest. Author Tine Lovsø Dohlmann, PhD, was employed by Statens Serum Institut during the study, but has been employed by Novo Nordisk since January 2023. All other study authors and the editorialist Dr. Khan have no relevant conflicts of interest.

A version of this article first appeared on Medscape.com.

TOPLINE:

Patients older than age 70 years have a 23% lower risk of a first major vascular events with each 1 mmol/L lowering of low-density lipoprotein (LDL) cholesterol, which is similar to the benefit seen among younger patients in primary prevention, new research shows.

METHODOLOGY:

• Using various cross-linked Danish registries, researchers analyzed 65,190 participants aged 50 years and older (49,155 aged 50-69 and 16,035 aged 70+) without a history of atherosclerotic cardiovascular disease (ASCVD) who initiated new lipid-lowering treatment and had a baseline LDL cholesterol measurement and a subsequent measurement within a year.
• The primary outcome was hospitalization for a major vascular event, defined as a composite of acute coronary syndrome, nonhemorrhagic stroke, and coronary revascularization. Secondary outcomes included individual cardiovascular components of the primary outcome and all-cause mortality.

TAKEAWAY:

• During a median follow-up of 2.5 years, 626 older (70 years and over) and 1,123 younger (aged 50-69) participants had a major vascular event, with crude incidence rates of 13.4 and 7.1 per 1000 person-years, respectively.
• After adjustment for potential confounders, each 1-mmol/L reduction in LDL cholesterol in people aged 70 and older was associated with a significant 23% lower risk for major vascular events (hazard ratio [HR] 0.77; 95% confidence interval [CI], 0.71-0.83), similar to results for those younger than 70 (HR, 0.76; 95% CI, 0.71-0.80; P value for the difference between the age groups, 0.79).
• Results across all cardiovascular secondary analyses supported the main findings, and there was no significant difference between older and younger participants across all subgroup analyses, including using 75 years as the age cutoff.
• There was no association with all-cause mortality for either the older (HR, 1.03; 95% CI, 0.98-1.09) or younger (HR, 1.00; 95% CI, 0.95-1.06) groups.

IN PRACTICE:

“Our results, based on a substantial sample size representative of a contemporary general population, may contribute to informing future guideline recommendations,” and to discussions with older patients about the benefits of LDL lowering therapy, the authors wrote. They stressed that any potential benefits should be balanced against potential harms in this population, as these individuals may have comorbidities and may be taking multiple medications.

In an accompanying editorial, Safi U. Khan, MD, from the department of cardiology at Houston Methodist DeBakey Heart and Vascular Center, said the study “contributes valuable insights regarding the effects of LDL-C-lowering therapy, especially as the burgeoning aging population faces escalating burden of ASCVD,” and added future research “should focus on corroborating these findings and addressing the safety of lipid-lowering treatments in older individuals.”
 

SOURCE:

The study was conducted by Niklas Worm Andersson, MD, department of epidemiology research, Statens Serum Institut, Copenhagen, and colleagues. It was published online Journal of the American College of Cardiology.

LIMITATIONS:

The results may not apply to individuals without LDL monitoring when receiving lipid-lowering treatment. Outcomes relied on the validity of recorded diagnostic codes in the registries, and medical record review of cases was not done. Residual confounding can’t be ruled out, in part because data on potentially important risk factors such as smoking, blood pressure, and body mass index weren’t available. The results may not generalize to clinical scenarios or subpopulations not directly studied.

DISCLOSURES:

Dr. Andersson has no relevant conflicts of interest. Author Tine Lovsø Dohlmann, PhD, was employed by Statens Serum Institut during the study, but has been employed by Novo Nordisk since January 2023. All other study authors and the editorialist Dr. Khan have no relevant conflicts of interest.

A version of this article first appeared on Medscape.com.