This transcript has been edited for clarity.

On today’s edition of Beyond BMI, I’ll be discussing weight plateaus. This is something that our patients are very familiar with. Sometimes, they’re happy with their weight when they plateau; sometimes, they’re not. A weight plateau is simply a state of equilibrium.

There’s a common adage that the last 5 pounds are the hardest. When people decrease their calorie intake and increase their activity — as we instruct our patients to do to lose weight — the body starts to fight back because it believes this is a famine state. Our bodies feel that we are running around the jungle looking for food to help us survive a perceived famine state.

The body does a few things to help us keep weight on, and this is what leads to the frustration of not being able to lose those last 5 pounds. The first thing that happens in this process, which is called metabolic adaptation, is that when someone loses weight, the body naturally increases appetite signals from the brain, so the person becomes hungrier. Satiety signals from the stomach also decrease, so they feel more hungry and less full. And finally, stable fat cells form to allow the person to seek out more food without losing weight. This eventually leads the patient to regain weight, or they may plateau at a weight they’re not happy with.

I’m sure you’ve seen many studies looking at weight plateaus and the amount of weight loss people are able to achieve with diet, exercise, and behavior change alone vs the same lifestyle modifications plus medication. Studies show that patients who are taking anti-obesity medications achieve far more weight loss than do those who are not taking medications. The reason is related to the different mechanisms of action of the anti-obesity medications. Patients taking these medications are able to tolerate a lower caloric intake for a longer period of time, thus they’re able to burn more fat cells and lose more weight. Some medications perform this by decreasing appetite signals, so patients can continue to eat a small number of calories. Some medications affect the stability of fat cells. Some medications also increase satiety signals, so patients can move beyond that degree of metabolic adaptation and get beyond their previous plateau.

What can we do for patients who are frustrated with their weight plateau? I recommend taking a dive into their daily routine. Find out how many calories they are eating. Find out how much exercise they are doing and see whether there’s any room to reorganize the day or change their meals to create a caloric deficit. Are they eating things that are not filling enough, so they can’t get to the next meal without having a snack in between? We are looking at the quality of the meals as well and making sure there’s an adequate amount of protein and fiber in their meals to help with those increased appetite signals. We should also make sure these patients are getting adequate fluid intake.

These are all strategies that can help our patients try to get beyond their weight plateaus.

If the patient meets criteria for anti-obesity medication, which means a body mass index (BMI) of 27-29 with a weight-related comorbidity or BMI ≥ 30 with or without a comorbidity, you may want to consider anti-obesity medication to help that patient get beyond the plateau.

Plateaus will occur as a natural process because of the appetite signaling and hormonal changes that occur when patients lose weight from any modality. It’s important that we work with our patients to determine whether their weight plateau is due to metabolic adaptation. If they aren’t meeting their goals and they have weight-related comorbidities, we can use other available modalities to help those patients continue to lose weight. Of course, whenever we are prescribing a medication, we need to make sure that it is safe for the patient and the patient is on board with the potential side effects and risks. And we should always make sure our patients know we are their advocates in their weight journey.

Holly Lofton, clinical associate professor of surgery and medicine, NYU Langone Health, New York, NY, has disclosed no relevant financial relationships.

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

This transcript has been edited for clarity.

On today’s edition of Beyond BMI, I’ll be discussing weight plateaus. This is something that our patients are very familiar with. Sometimes, they’re happy with their weight when they plateau; sometimes, they’re not. A weight plateau is simply a state of equilibrium.

There’s a common adage that the last 5 pounds are the hardest. When people decrease their calorie intake and increase their activity — as we instruct our patients to do to lose weight — the body starts to fight back because it believes this is a famine state. Our bodies feel that we are running around the jungle looking for food to help us survive a perceived famine state.

The body does a few things to help us keep weight on, and this is what leads to the frustration of not being able to lose those last 5 pounds. The first thing that happens in this process, which is called metabolic adaptation, is that when someone loses weight, the body naturally increases appetite signals from the brain, so the person becomes hungrier. Satiety signals from the stomach also decrease, so they feel more hungry and less full. And finally, stable fat cells form to allow the person to seek out more food without losing weight. This eventually leads the patient to regain weight, or they may plateau at a weight they’re not happy with.

I’m sure you’ve seen many studies looking at weight plateaus and the amount of weight loss people are able to achieve with diet, exercise, and behavior change alone vs the same lifestyle modifications plus medication. Studies show that patients who are taking anti-obesity medications achieve far more weight loss than do those who are not taking medications. The reason is related to the different mechanisms of action of the anti-obesity medications. Patients taking these medications are able to tolerate a lower caloric intake for a longer period of time, thus they’re able to burn more fat cells and lose more weight. Some medications perform this by decreasing appetite signals, so patients can continue to eat a small number of calories. Some medications affect the stability of fat cells. Some medications also increase satiety signals, so patients can move beyond that degree of metabolic adaptation and get beyond their previous plateau.

What can we do for patients who are frustrated with their weight plateau? I recommend taking a dive into their daily routine. Find out how many calories they are eating. Find out how much exercise they are doing and see whether there’s any room to reorganize the day or change their meals to create a caloric deficit. Are they eating things that are not filling enough, so they can’t get to the next meal without having a snack in between? We are looking at the quality of the meals as well and making sure there’s an adequate amount of protein and fiber in their meals to help with those increased appetite signals. We should also make sure these patients are getting adequate fluid intake.

These are all strategies that can help our patients try to get beyond their weight plateaus.

If the patient meets criteria for anti-obesity medication, which means a body mass index (BMI) of 27-29 with a weight-related comorbidity or BMI ≥ 30 with or without a comorbidity, you may want to consider anti-obesity medication to help that patient get beyond the plateau.

Plateaus will occur as a natural process because of the appetite signaling and hormonal changes that occur when patients lose weight from any modality. It’s important that we work with our patients to determine whether their weight plateau is due to metabolic adaptation. If they aren’t meeting their goals and they have weight-related comorbidities, we can use other available modalities to help those patients continue to lose weight. Of course, whenever we are prescribing a medication, we need to make sure that it is safe for the patient and the patient is on board with the potential side effects and risks. And we should always make sure our patients know we are their advocates in their weight journey.

Holly Lofton, clinical associate professor of surgery and medicine, NYU Langone Health, New York, NY, has disclosed no relevant financial relationships.

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

This transcript has been edited for clarity.

On today’s edition of Beyond BMI, I’ll be discussing weight plateaus. This is something that our patients are very familiar with. Sometimes, they’re happy with their weight when they plateau; sometimes, they’re not. A weight plateau is simply a state of equilibrium.

There’s a common adage that the last 5 pounds are the hardest. When people decrease their calorie intake and increase their activity — as we instruct our patients to do to lose weight — the body starts to fight back because it believes this is a famine state. Our bodies feel that we are running around the jungle looking for food to help us survive a perceived famine state.

The body does a few things to help us keep weight on, and this is what leads to the frustration of not being able to lose those last 5 pounds. The first thing that happens in this process, which is called metabolic adaptation, is that when someone loses weight, the body naturally increases appetite signals from the brain, so the person becomes hungrier. Satiety signals from the stomach also decrease, so they feel more hungry and less full. And finally, stable fat cells form to allow the person to seek out more food without losing weight. This eventually leads the patient to regain weight, or they may plateau at a weight they’re not happy with.

I’m sure you’ve seen many studies looking at weight plateaus and the amount of weight loss people are able to achieve with diet, exercise, and behavior change alone vs the same lifestyle modifications plus medication. Studies show that patients who are taking anti-obesity medications achieve far more weight loss than do those who are not taking medications. The reason is related to the different mechanisms of action of the anti-obesity medications. Patients taking these medications are able to tolerate a lower caloric intake for a longer period of time, thus they’re able to burn more fat cells and lose more weight. Some medications perform this by decreasing appetite signals, so patients can continue to eat a small number of calories. Some medications affect the stability of fat cells. Some medications also increase satiety signals, so patients can move beyond that degree of metabolic adaptation and get beyond their previous plateau.

What can we do for patients who are frustrated with their weight plateau? I recommend taking a dive into their daily routine. Find out how many calories they are eating. Find out how much exercise they are doing and see whether there’s any room to reorganize the day or change their meals to create a caloric deficit. Are they eating things that are not filling enough, so they can’t get to the next meal without having a snack in between? We are looking at the quality of the meals as well and making sure there’s an adequate amount of protein and fiber in their meals to help with those increased appetite signals. We should also make sure these patients are getting adequate fluid intake.

These are all strategies that can help our patients try to get beyond their weight plateaus.

If the patient meets criteria for anti-obesity medication, which means a body mass index (BMI) of 27-29 with a weight-related comorbidity or BMI ≥ 30 with or without a comorbidity, you may want to consider anti-obesity medication to help that patient get beyond the plateau.

Plateaus will occur as a natural process because of the appetite signaling and hormonal changes that occur when patients lose weight from any modality. It’s important that we work with our patients to determine whether their weight plateau is due to metabolic adaptation. If they aren’t meeting their goals and they have weight-related comorbidities, we can use other available modalities to help those patients continue to lose weight. Of course, whenever we are prescribing a medication, we need to make sure that it is safe for the patient and the patient is on board with the potential side effects and risks. And we should always make sure our patients know we are their advocates in their weight journey.

Holly Lofton, clinical associate professor of surgery and medicine, NYU Langone Health, New York, NY, has disclosed no relevant financial relationships.

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

Irregular sleep duration was associated with a higher risk for diabetes in middle-aged to older adults in a new UK Biobank study.

The analysis of more than 84,000 participants with 7-day accelerometry data suggested that individuals with the most irregular sleep duration patterns had a 34% higher risk for diabetes compared with their peers who had more consistent sleep patterns.

“It’s recommended to have 7-9 hours of nightly sleep, but what is not considered much in policy guidelines or at the clinical level is how regularly that’s needed,” Sina Kianersi, PhD, of Brigham and Women’s Hospital in Boston, Massachusetts, said in an interview. “What our study added is that it’s not just the duration but keeping it consistent. Patients can reduce their risk of diabetes by maintaining their 7-9 hours of sleep, not just for 1 night but throughout life.”

The study was published online in Diabetes Care.
 

Modifiable Lifestyle Factor

Researchers analyzed data from 84,421 UK Biobank participants who were free of diabetes when they provided accelerometer data in 2013-2015 and who were followed for a median of 7.5 years (622,080 person-years).

Participants had an average age of 62 years, 57% were women, 97% were White individuals, and 50% were employed in non–shift work jobs.

Sleep duration variability was quantified by the within-person standard deviation (SD) of 7-night accelerometer-measured sleep duration.

Participants with higher sleep duration SD were younger and more likely to be women, shift workers, or current smokers; those who reported definite “evening” chronotype (natural preference of the body to sleep at a certain time); those having lower socioeconomic status, higher body mass index, and shorter mean sleep duration; and were less likely to be White individuals.

In addition, a family history of diabetes and of depression was more prevalent among these participants.

A total of 2058 incident diabetes cases occurred during follow-up.

After adjustment for age, sex, and race, compared with a sleep duration SD ≤ 30 minutes, the hazard ratio (HR) was 1.15 for 31-45 minutes, 1.28 for 46-60 minutes, 1.54 for 61-90 minutes, and 1.59 for ≥ 91 minutes.

After the initial adjustment, individuals with a sleep duration SD of > 60 vs ≤ 60 minutes had a 34% higher diabetes risk. However, further adjustment for lifestyle, comorbidities, environmental factors, and adiposity attenuated the association — ie, the HR comparing sleep duration SD of > 60 vs ≤ 60 minutes was 1.11.

Furthermore, researchers found that the association between sleep duration and diabetes was stronger among individuals with lower diabetes polygenic risk score. 

“One possible explanation for this finding is that the impact of sleep irregularity on diabetes risk may be less noticeable in individuals with a high genetic predisposition, where genetic factors dominate,” Dr. Kianersi said. “However, it is important to note that these sleep-gene interaction effects were not consistently observed across different measures and gene-related variables. This is something that remains to be further studied.”

Nevertheless, he added, “I want to emphasize that the association between irregular sleep duration and increased diabetes risk was evident across all levels of diabetes polygenic risk scores.”

The association also was stronger with longer sleep duration. The authors suggested that longer sleep duration “might reduce daylight exposure, which could, in turn, give rise to circadian disruption.”

Overall, Dr. Kianersi said, “Our study identified a modifiable lifestyle factor that can help lower the risk of developing type 2 diabetes.”

The study had several limitations. There was a time lag of a median of 5 years between sleep duration measurements and covariate assessments, which might bias lifestyle behaviors that may vary over time. In addition, a single 7-day sleep duration measurement may not capture long-term sleep patterns. A constrained random sampling approach was used to select participants, raising the potential of selection bias.
 

Regular Sleep Routine Best

Ana Krieger, MD, MPH, director of the Center for Sleep Medicine at Weill Cornell Medicine in New York City, commented on the study for this news organization. “This is a very interesting study, as it adds to the literature,” she said. “Previous research studies have shown metabolic abnormalities with variations in sleep time and duration.”

“This particular study evaluated a large sample of patients in the UK which were mostly White middle-aged and may not be representative of the general population,” she noted. “A similar study in a Hispanic/Latino group failed to demonstrate any significant association between sleep timing variability and incidence of diabetes. It would be desirable to see if prospective studies are able to demonstrate a reduction in diabetes risk by implementing a more regular sleep routine.”

The importance of the body’s natural circadian rhythm in regulating and anchoring many physiological processes was highlighted by the 2017 Nobel Prize of Medicine, which was awarded to three researchers in circadian biology, she pointed out.

“Alterations in the circadian rhythm are known to affect mood regulation, gastrointestinal function, and alertness, among other factors,” she said. “Keeping a regular sleep routine will help to improve our circadian rhythm and better regulate many processes, including our metabolism and appetite-controlling hormones.”

Notably, a study published online in Diabetologia in a racially and economically diverse US population also found that adults with persistent suboptimal sleep durations (< 7 or > 9 hours nightly over a mean of 5 years) were more likely to develop incident diabetes. The strongest association was found among participants reporting extreme changes and higher variability in their sleep durations.

This study was supported by the National Institutes of Health (grant number R01HL155395) and the UKB project 85501. Dr. Kianersi was supported by the American Heart Association Postdoctoral Fellowship. Dr. Kianersi and Dr. Krieger reported no conflicts of interest.

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

Irregular sleep duration was associated with a higher risk for diabetes in middle-aged to older adults in a new UK Biobank study.

The analysis of more than 84,000 participants with 7-day accelerometry data suggested that individuals with the most irregular sleep duration patterns had a 34% higher risk for diabetes compared with their peers who had more consistent sleep patterns.

“It’s recommended to have 7-9 hours of nightly sleep, but what is not considered much in policy guidelines or at the clinical level is how regularly that’s needed,” Sina Kianersi, PhD, of Brigham and Women’s Hospital in Boston, Massachusetts, said in an interview. “What our study added is that it’s not just the duration but keeping it consistent. Patients can reduce their risk of diabetes by maintaining their 7-9 hours of sleep, not just for 1 night but throughout life.”

The study was published online in Diabetes Care.
 

Modifiable Lifestyle Factor

Researchers analyzed data from 84,421 UK Biobank participants who were free of diabetes when they provided accelerometer data in 2013-2015 and who were followed for a median of 7.5 years (622,080 person-years).

Participants had an average age of 62 years, 57% were women, 97% were White individuals, and 50% were employed in non–shift work jobs.

Sleep duration variability was quantified by the within-person standard deviation (SD) of 7-night accelerometer-measured sleep duration.

Participants with higher sleep duration SD were younger and more likely to be women, shift workers, or current smokers; those who reported definite “evening” chronotype (natural preference of the body to sleep at a certain time); those having lower socioeconomic status, higher body mass index, and shorter mean sleep duration; and were less likely to be White individuals.

In addition, a family history of diabetes and of depression was more prevalent among these participants.

A total of 2058 incident diabetes cases occurred during follow-up.

After adjustment for age, sex, and race, compared with a sleep duration SD ≤ 30 minutes, the hazard ratio (HR) was 1.15 for 31-45 minutes, 1.28 for 46-60 minutes, 1.54 for 61-90 minutes, and 1.59 for ≥ 91 minutes.

After the initial adjustment, individuals with a sleep duration SD of > 60 vs ≤ 60 minutes had a 34% higher diabetes risk. However, further adjustment for lifestyle, comorbidities, environmental factors, and adiposity attenuated the association — ie, the HR comparing sleep duration SD of > 60 vs ≤ 60 minutes was 1.11.

Furthermore, researchers found that the association between sleep duration and diabetes was stronger among individuals with lower diabetes polygenic risk score. 

“One possible explanation for this finding is that the impact of sleep irregularity on diabetes risk may be less noticeable in individuals with a high genetic predisposition, where genetic factors dominate,” Dr. Kianersi said. “However, it is important to note that these sleep-gene interaction effects were not consistently observed across different measures and gene-related variables. This is something that remains to be further studied.”

Nevertheless, he added, “I want to emphasize that the association between irregular sleep duration and increased diabetes risk was evident across all levels of diabetes polygenic risk scores.”

The association also was stronger with longer sleep duration. The authors suggested that longer sleep duration “might reduce daylight exposure, which could, in turn, give rise to circadian disruption.”

Overall, Dr. Kianersi said, “Our study identified a modifiable lifestyle factor that can help lower the risk of developing type 2 diabetes.”

The study had several limitations. There was a time lag of a median of 5 years between sleep duration measurements and covariate assessments, which might bias lifestyle behaviors that may vary over time. In addition, a single 7-day sleep duration measurement may not capture long-term sleep patterns. A constrained random sampling approach was used to select participants, raising the potential of selection bias.
 

Regular Sleep Routine Best

Ana Krieger, MD, MPH, director of the Center for Sleep Medicine at Weill Cornell Medicine in New York City, commented on the study for this news organization. “This is a very interesting study, as it adds to the literature,” she said. “Previous research studies have shown metabolic abnormalities with variations in sleep time and duration.”

“This particular study evaluated a large sample of patients in the UK which were mostly White middle-aged and may not be representative of the general population,” she noted. “A similar study in a Hispanic/Latino group failed to demonstrate any significant association between sleep timing variability and incidence of diabetes. It would be desirable to see if prospective studies are able to demonstrate a reduction in diabetes risk by implementing a more regular sleep routine.”

The importance of the body’s natural circadian rhythm in regulating and anchoring many physiological processes was highlighted by the 2017 Nobel Prize of Medicine, which was awarded to three researchers in circadian biology, she pointed out.

“Alterations in the circadian rhythm are known to affect mood regulation, gastrointestinal function, and alertness, among other factors,” she said. “Keeping a regular sleep routine will help to improve our circadian rhythm and better regulate many processes, including our metabolism and appetite-controlling hormones.”

Notably, a study published online in Diabetologia in a racially and economically diverse US population also found that adults with persistent suboptimal sleep durations (< 7 or > 9 hours nightly over a mean of 5 years) were more likely to develop incident diabetes. The strongest association was found among participants reporting extreme changes and higher variability in their sleep durations.

This study was supported by the National Institutes of Health (grant number R01HL155395) and the UKB project 85501. Dr. Kianersi was supported by the American Heart Association Postdoctoral Fellowship. Dr. Kianersi and Dr. Krieger reported no conflicts of interest.

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

Irregular sleep duration was associated with a higher risk for diabetes in middle-aged to older adults in a new UK Biobank study.

The analysis of more than 84,000 participants with 7-day accelerometry data suggested that individuals with the most irregular sleep duration patterns had a 34% higher risk for diabetes compared with their peers who had more consistent sleep patterns.

“It’s recommended to have 7-9 hours of nightly sleep, but what is not considered much in policy guidelines or at the clinical level is how regularly that’s needed,” Sina Kianersi, PhD, of Brigham and Women’s Hospital in Boston, Massachusetts, said in an interview. “What our study added is that it’s not just the duration but keeping it consistent. Patients can reduce their risk of diabetes by maintaining their 7-9 hours of sleep, not just for 1 night but throughout life.”

The study was published online in Diabetes Care.
 

Modifiable Lifestyle Factor

Researchers analyzed data from 84,421 UK Biobank participants who were free of diabetes when they provided accelerometer data in 2013-2015 and who were followed for a median of 7.5 years (622,080 person-years).

Participants had an average age of 62 years, 57% were women, 97% were White individuals, and 50% were employed in non–shift work jobs.

Sleep duration variability was quantified by the within-person standard deviation (SD) of 7-night accelerometer-measured sleep duration.

Participants with higher sleep duration SD were younger and more likely to be women, shift workers, or current smokers; those who reported definite “evening” chronotype (natural preference of the body to sleep at a certain time); those having lower socioeconomic status, higher body mass index, and shorter mean sleep duration; and were less likely to be White individuals.

In addition, a family history of diabetes and of depression was more prevalent among these participants.

A total of 2058 incident diabetes cases occurred during follow-up.

After adjustment for age, sex, and race, compared with a sleep duration SD ≤ 30 minutes, the hazard ratio (HR) was 1.15 for 31-45 minutes, 1.28 for 46-60 minutes, 1.54 for 61-90 minutes, and 1.59 for ≥ 91 minutes.

After the initial adjustment, individuals with a sleep duration SD of > 60 vs ≤ 60 minutes had a 34% higher diabetes risk. However, further adjustment for lifestyle, comorbidities, environmental factors, and adiposity attenuated the association — ie, the HR comparing sleep duration SD of > 60 vs ≤ 60 minutes was 1.11.

Furthermore, researchers found that the association between sleep duration and diabetes was stronger among individuals with lower diabetes polygenic risk score. 

“One possible explanation for this finding is that the impact of sleep irregularity on diabetes risk may be less noticeable in individuals with a high genetic predisposition, where genetic factors dominate,” Dr. Kianersi said. “However, it is important to note that these sleep-gene interaction effects were not consistently observed across different measures and gene-related variables. This is something that remains to be further studied.”

Nevertheless, he added, “I want to emphasize that the association between irregular sleep duration and increased diabetes risk was evident across all levels of diabetes polygenic risk scores.”

The association also was stronger with longer sleep duration. The authors suggested that longer sleep duration “might reduce daylight exposure, which could, in turn, give rise to circadian disruption.”

Overall, Dr. Kianersi said, “Our study identified a modifiable lifestyle factor that can help lower the risk of developing type 2 diabetes.”

The study had several limitations. There was a time lag of a median of 5 years between sleep duration measurements and covariate assessments, which might bias lifestyle behaviors that may vary over time. In addition, a single 7-day sleep duration measurement may not capture long-term sleep patterns. A constrained random sampling approach was used to select participants, raising the potential of selection bias.
 

Regular Sleep Routine Best

Ana Krieger, MD, MPH, director of the Center for Sleep Medicine at Weill Cornell Medicine in New York City, commented on the study for this news organization. “This is a very interesting study, as it adds to the literature,” she said. “Previous research studies have shown metabolic abnormalities with variations in sleep time and duration.”

“This particular study evaluated a large sample of patients in the UK which were mostly White middle-aged and may not be representative of the general population,” she noted. “A similar study in a Hispanic/Latino group failed to demonstrate any significant association between sleep timing variability and incidence of diabetes. It would be desirable to see if prospective studies are able to demonstrate a reduction in diabetes risk by implementing a more regular sleep routine.”

The importance of the body’s natural circadian rhythm in regulating and anchoring many physiological processes was highlighted by the 2017 Nobel Prize of Medicine, which was awarded to three researchers in circadian biology, she pointed out.

“Alterations in the circadian rhythm are known to affect mood regulation, gastrointestinal function, and alertness, among other factors,” she said. “Keeping a regular sleep routine will help to improve our circadian rhythm and better regulate many processes, including our metabolism and appetite-controlling hormones.”

Notably, a study published online in Diabetologia in a racially and economically diverse US population also found that adults with persistent suboptimal sleep durations (< 7 or > 9 hours nightly over a mean of 5 years) were more likely to develop incident diabetes. The strongest association was found among participants reporting extreme changes and higher variability in their sleep durations.

This study was supported by the National Institutes of Health (grant number R01HL155395) and the UKB project 85501. Dr. Kianersi was supported by the American Heart Association Postdoctoral Fellowship. Dr. Kianersi and Dr. Krieger reported no conflicts of interest.

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

There has been an “alarming” increase in mental health hospital admissions involving methamphetamine use, new research showed. Investigators found that between 2008 and 2020, such admissions increased by more than 10-fold.

“Overall, our results show an alarming increase in mental health disorder–related hospitalizations with concurrent methamphetamine use from 2008 to 2020,” wrote the investigators, led by Diensn Xing, Department of Medicine, Louisiana State University Health Sciences Center, Shreveport.

“These results are especially concerning because these hospitalizations outpace hospitalizations for methamphetamine use alone or mental health disorders alone,” they added.

The study was published online in Nature Mental Health .
 

Action Needed

Mental illness and methamphetamine use are both growing health problems. The investigators pointed out that methamphetamine use can cause serious harm to an individual’s mental, emotional, and social well-being and can significantly alter the brain.

They added that long-term methamphetamine users can exhibit “extreme anxiety, confusion, troubled sleep, mood changes, and aggressive behavior.” In addition, use of the drug can cause psychotic side effects such as paranoia, hallucinations, delusions, and suicidality.

The investigators noted that, to date, no studies have examined the combined effects of both diseases or characterized national trends over more than 10 years.

The researchers analyzed US mental health–related trends in methamphetamine users from 2008 to 2020. In particular, they wanted to characterize which demographic and geographic groups might be affected by both of these diseases because people with mental illness and co-occurring methamphetamine use are an “intersectional group” that is “doubly vulnerable to suicide and overdose death due to the synergistic effects of methamphetamine and mental health disorders.”

The investigators evaluated US trends in mental health disorder–related hospital admissions (MHD-HAs) and compared them with mental health admissions that involved concurrent methamphetamine use (MHD-HA-MUs) between 2008 and 2020.

Using data from the largest US inpatient care database, which encompasses more than 7 million hospital stays annually, they examined close to 4 million weighted hospital admissions and found more than a 10-fold increase in MHD-HA-MUs, compared with a 1.4-fold increase in MHD-HAs.

MHD-HA-MUs increased significantly among men (13-fold), non-Hispanic Black patients (39-fold), and those aged 41-64 years (16-fold). In the southern United States, MHD-HA-MUs increased 24-fold, larger than in any other region in the United States.

“Overall, the data suggest that there are synergistic effects with methamphetamine use and mental health disorder, highlighting this patient group’s unique needs, requiring distinct action,” the researchers wrote.

They proposed several interventions, including public education about substance use disorders, mental illness, and the effects of stigma. They also suggested decreasing criminal penalties for those with substance use disorders and improving healthcare delivery for this patient population.

This work was supported by the National Institutes of Health and an award from the National Institute of General Medical Sciences. The study authors declared no relevant financial relationships.

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

There has been an “alarming” increase in mental health hospital admissions involving methamphetamine use, new research showed. Investigators found that between 2008 and 2020, such admissions increased by more than 10-fold.

“Overall, our results show an alarming increase in mental health disorder–related hospitalizations with concurrent methamphetamine use from 2008 to 2020,” wrote the investigators, led by Diensn Xing, Department of Medicine, Louisiana State University Health Sciences Center, Shreveport.

“These results are especially concerning because these hospitalizations outpace hospitalizations for methamphetamine use alone or mental health disorders alone,” they added.

The study was published online in Nature Mental Health .
 

Action Needed

Mental illness and methamphetamine use are both growing health problems. The investigators pointed out that methamphetamine use can cause serious harm to an individual’s mental, emotional, and social well-being and can significantly alter the brain.

They added that long-term methamphetamine users can exhibit “extreme anxiety, confusion, troubled sleep, mood changes, and aggressive behavior.” In addition, use of the drug can cause psychotic side effects such as paranoia, hallucinations, delusions, and suicidality.

The investigators noted that, to date, no studies have examined the combined effects of both diseases or characterized national trends over more than 10 years.

The researchers analyzed US mental health–related trends in methamphetamine users from 2008 to 2020. In particular, they wanted to characterize which demographic and geographic groups might be affected by both of these diseases because people with mental illness and co-occurring methamphetamine use are an “intersectional group” that is “doubly vulnerable to suicide and overdose death due to the synergistic effects of methamphetamine and mental health disorders.”

The investigators evaluated US trends in mental health disorder–related hospital admissions (MHD-HAs) and compared them with mental health admissions that involved concurrent methamphetamine use (MHD-HA-MUs) between 2008 and 2020.

Using data from the largest US inpatient care database, which encompasses more than 7 million hospital stays annually, they examined close to 4 million weighted hospital admissions and found more than a 10-fold increase in MHD-HA-MUs, compared with a 1.4-fold increase in MHD-HAs.

MHD-HA-MUs increased significantly among men (13-fold), non-Hispanic Black patients (39-fold), and those aged 41-64 years (16-fold). In the southern United States, MHD-HA-MUs increased 24-fold, larger than in any other region in the United States.

“Overall, the data suggest that there are synergistic effects with methamphetamine use and mental health disorder, highlighting this patient group’s unique needs, requiring distinct action,” the researchers wrote.

They proposed several interventions, including public education about substance use disorders, mental illness, and the effects of stigma. They also suggested decreasing criminal penalties for those with substance use disorders and improving healthcare delivery for this patient population.

This work was supported by the National Institutes of Health and an award from the National Institute of General Medical Sciences. The study authors declared no relevant financial relationships.

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

There has been an “alarming” increase in mental health hospital admissions involving methamphetamine use, new research showed. Investigators found that between 2008 and 2020, such admissions increased by more than 10-fold.

“Overall, our results show an alarming increase in mental health disorder–related hospitalizations with concurrent methamphetamine use from 2008 to 2020,” wrote the investigators, led by Diensn Xing, Department of Medicine, Louisiana State University Health Sciences Center, Shreveport.

“These results are especially concerning because these hospitalizations outpace hospitalizations for methamphetamine use alone or mental health disorders alone,” they added.

The study was published online in Nature Mental Health .
 

Action Needed

Mental illness and methamphetamine use are both growing health problems. The investigators pointed out that methamphetamine use can cause serious harm to an individual’s mental, emotional, and social well-being and can significantly alter the brain.

They added that long-term methamphetamine users can exhibit “extreme anxiety, confusion, troubled sleep, mood changes, and aggressive behavior.” In addition, use of the drug can cause psychotic side effects such as paranoia, hallucinations, delusions, and suicidality.

The investigators noted that, to date, no studies have examined the combined effects of both diseases or characterized national trends over more than 10 years.

The researchers analyzed US mental health–related trends in methamphetamine users from 2008 to 2020. In particular, they wanted to characterize which demographic and geographic groups might be affected by both of these diseases because people with mental illness and co-occurring methamphetamine use are an “intersectional group” that is “doubly vulnerable to suicide and overdose death due to the synergistic effects of methamphetamine and mental health disorders.”

The investigators evaluated US trends in mental health disorder–related hospital admissions (MHD-HAs) and compared them with mental health admissions that involved concurrent methamphetamine use (MHD-HA-MUs) between 2008 and 2020.

Using data from the largest US inpatient care database, which encompasses more than 7 million hospital stays annually, they examined close to 4 million weighted hospital admissions and found more than a 10-fold increase in MHD-HA-MUs, compared with a 1.4-fold increase in MHD-HAs.

MHD-HA-MUs increased significantly among men (13-fold), non-Hispanic Black patients (39-fold), and those aged 41-64 years (16-fold). In the southern United States, MHD-HA-MUs increased 24-fold, larger than in any other region in the United States.

“Overall, the data suggest that there are synergistic effects with methamphetamine use and mental health disorder, highlighting this patient group’s unique needs, requiring distinct action,” the researchers wrote.

They proposed several interventions, including public education about substance use disorders, mental illness, and the effects of stigma. They also suggested decreasing criminal penalties for those with substance use disorders and improving healthcare delivery for this patient population.

This work was supported by the National Institutes of Health and an award from the National Institute of General Medical Sciences. The study authors declared no relevant financial relationships.

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

TOPLINE:

Intercurrent infections are associated with an increased risk for systemic lupus erythematosus (SLE) flares within 3 months, with major infections associated with a 7.4 times higher risk for major flares.

METHODOLOGY:

• The researchers prospectively examined the association between intercurrent infections and subsequent SLE flares in 203 patients (median age, 40 years; 91% women) with SLE from the Amsterdam SLE cohort study.
• SLE flares were defined as an increase in disease activity combined with an intensification of immunosuppressive therapy. They were categorized into minor and major flares according to the severity and required treatment.
• Major infections were defined as those requiring hospital admission or intravenous antibiotic therapy, while minor infections did not require hospital admission.
• The risk interval for the occurrence of a disease flare was defined as 3 months from the index date of an infection.
• Patients were followed for a median duration of 6 years.

TAKEAWAY:

• The incidence of major and minor infections was 5.3 (95% CI, 4.1-6.9) and 63.9 per 100 patient-years (95% CI, 59.3-69.0), respectively.
• Intercurrent infections were associated with a 1.9 times higher risk for SLE flares within 3 months (95% CI, 1.3-2.9).
• Intercurrent infections were significantly associated with minor SLE flares (hazard ratio, 1.9; 95% CI, 1.2-3.0) but not with major flares.
• Major infections were linked to a 7.4 times higher risk for major SLE flares within 3 months (95% CI, 2.2-24.6).

IN PRACTICE:

“This finding stresses the importance of awareness and strict monitoring of disease activity in patients with SLE suffering a major infection and prompt adequate treatment in case of the development of a disease flare,” the authors wrote.

SOURCE:

The study was led by Fatma el Hadiyen, Amsterdam Rheumatology and Immunology Center, Amsterdam University Medical Center in the Netherlands. It was published online on July 1, 2024, in Lupus Science & Medicine.

LIMITATIONS:

The reliance on patient recall for minor infections may have introduced recall bias. The small number of patients with identified causative organisms limited the generalizability of the findings. The Bootsma criteria were used for defining SLE flares, which may not align with more recent international standards.

DISCLOSURES:

No specific funding source was reported. One author reported receiving personal fees from various pharmaceutical companies outside the submitted work.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE:

Intercurrent infections are associated with an increased risk for systemic lupus erythematosus (SLE) flares within 3 months, with major infections associated with a 7.4 times higher risk for major flares.

METHODOLOGY:

• The researchers prospectively examined the association between intercurrent infections and subsequent SLE flares in 203 patients (median age, 40 years; 91% women) with SLE from the Amsterdam SLE cohort study.
• SLE flares were defined as an increase in disease activity combined with an intensification of immunosuppressive therapy. They were categorized into minor and major flares according to the severity and required treatment.
• Major infections were defined as those requiring hospital admission or intravenous antibiotic therapy, while minor infections did not require hospital admission.
• The risk interval for the occurrence of a disease flare was defined as 3 months from the index date of an infection.
• Patients were followed for a median duration of 6 years.

TAKEAWAY:

• The incidence of major and minor infections was 5.3 (95% CI, 4.1-6.9) and 63.9 per 100 patient-years (95% CI, 59.3-69.0), respectively.
• Intercurrent infections were associated with a 1.9 times higher risk for SLE flares within 3 months (95% CI, 1.3-2.9).
• Intercurrent infections were significantly associated with minor SLE flares (hazard ratio, 1.9; 95% CI, 1.2-3.0) but not with major flares.
• Major infections were linked to a 7.4 times higher risk for major SLE flares within 3 months (95% CI, 2.2-24.6).

IN PRACTICE:

“This finding stresses the importance of awareness and strict monitoring of disease activity in patients with SLE suffering a major infection and prompt adequate treatment in case of the development of a disease flare,” the authors wrote.

SOURCE:

The study was led by Fatma el Hadiyen, Amsterdam Rheumatology and Immunology Center, Amsterdam University Medical Center in the Netherlands. It was published online on July 1, 2024, in Lupus Science & Medicine.

LIMITATIONS:

The reliance on patient recall for minor infections may have introduced recall bias. The small number of patients with identified causative organisms limited the generalizability of the findings. The Bootsma criteria were used for defining SLE flares, which may not align with more recent international standards.

DISCLOSURES:

No specific funding source was reported. One author reported receiving personal fees from various pharmaceutical companies outside the submitted work.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE:

Intercurrent infections are associated with an increased risk for systemic lupus erythematosus (SLE) flares within 3 months, with major infections associated with a 7.4 times higher risk for major flares.

METHODOLOGY:

• The researchers prospectively examined the association between intercurrent infections and subsequent SLE flares in 203 patients (median age, 40 years; 91% women) with SLE from the Amsterdam SLE cohort study.
• SLE flares were defined as an increase in disease activity combined with an intensification of immunosuppressive therapy. They were categorized into minor and major flares according to the severity and required treatment.
• Major infections were defined as those requiring hospital admission or intravenous antibiotic therapy, while minor infections did not require hospital admission.
• The risk interval for the occurrence of a disease flare was defined as 3 months from the index date of an infection.
• Patients were followed for a median duration of 6 years.

TAKEAWAY:

• The incidence of major and minor infections was 5.3 (95% CI, 4.1-6.9) and 63.9 per 100 patient-years (95% CI, 59.3-69.0), respectively.
• Intercurrent infections were associated with a 1.9 times higher risk for SLE flares within 3 months (95% CI, 1.3-2.9).
• Intercurrent infections were significantly associated with minor SLE flares (hazard ratio, 1.9; 95% CI, 1.2-3.0) but not with major flares.
• Major infections were linked to a 7.4 times higher risk for major SLE flares within 3 months (95% CI, 2.2-24.6).

IN PRACTICE:

“This finding stresses the importance of awareness and strict monitoring of disease activity in patients with SLE suffering a major infection and prompt adequate treatment in case of the development of a disease flare,” the authors wrote.

SOURCE:

The study was led by Fatma el Hadiyen, Amsterdam Rheumatology and Immunology Center, Amsterdam University Medical Center in the Netherlands. It was published online on July 1, 2024, in Lupus Science & Medicine.

LIMITATIONS:

The reliance on patient recall for minor infections may have introduced recall bias. The small number of patients with identified causative organisms limited the generalizability of the findings. The Bootsma criteria were used for defining SLE flares, which may not align with more recent international standards.

DISCLOSURES:

No specific funding source was reported. One author reported receiving personal fees from various pharmaceutical companies outside the submitted work.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

Many patients struggle with healthcare costs and basic expenses, according to new research.

People with rheumatologic diseases often experience a hidden symptom: financial toxicity or significant economic strain from out-of-pocket costs. A new study of 41,502 patients published in JCR: Journal of Clinical Rheumatology showed that 20% of those with rheumatologic diseases faced financial hardship from medical expenses, with 55% of those unable to pay their bills. 

Compared with patients who do not have rheumatologic diseases, and after clinical and sociodemographic factors were controlled for, patients with rheumatologic diseases were:

• 29% more likely to have high levels of financial hardship — difficulty paying; needing to pay over time; or inability to pay bills for doctors, dentists, hospitals, therapists, medication, equipment, nursing homes, or home care.
• 53% more likely to have high levels of financial distress — significant worry about having enough money for retirement, paying medical costs in the event of a serious illness or accident, maintaining their standard of living, paying their usual healthcare costs, and affording their normal monthly bills and housing costs.
• 29% more likely to experience food insecurity, defined as limited or uncertain access to adequate food.
• 58% more likely to report cost-related medication nonadherence — skipping doses, taking less medication, or delaying filling a prescription to save money.

People who were younger than 64 years, male, Black, or uninsured had higher odds of experiencing financial hardship, financial distress, food insecurity, and cost-related medication nonadherence. 

This study highlights “just how costly everyday rheumatologic conditions can be for your average American,” said lead study author Troy Amen, MD, MBA, an orthopedic surgery resident at the Hospital for Special Surgery in New York City. These diseases can be disabling, limiting a patient’s ability to work at the very time when expensive medications are needed. 

“It’s critical for clinicians to recognize how common the financial burden from healthcare costs can be, and only then can they take steps to better support patients,” said G. Caleb Alexander, MD, MS, professor of epidemiology at Johns Hopkins University in Baltimore, who was not involved in the study. 

Here’s how healthcare providers can help. 

Consider skipped medication a red flag. It’s often the first sign of a financial concern. “Sometimes with these problems, it looks like simple medication noncompliance, but it’s really a more complex form of nonadherence,” said Susan M. Goodman, MD, professor of clinical medicine at Weill Cornell Medicine in New York City and a coauthor of the study. “And I think if someone’s not taking the medication that had been very helpful, it does behoove the physician to try and figure out why that is.”

Normalize the issue to help patients open up. “I will often say, ‘You know, many, many patients don’t take their medicines exactly as prescribed. About how many days a week do you take this medicine?’” said Dr. Alexander. “If you ask in a nonconfrontational, supportive manner, I’ve found that patients are quite candid.” 

Don’t assume insurance has it covered. If patients are uninsured, help them enroll in (or renew) insurance coverage. But don’t assume insurance will solve the whole problem. “There are many people who, although they do have coverage, still can’t afford their medications,” said Dr. Goodman.

For products on high formulary tiers, the patient’s monthly cost can be hundreds to thousands of dollars. “Over the past 10-20 years, we’ve seen remarkable technological innovation in the types of medicines being brought to market, and here, I’m referring primarily to biologics and medicines made from living cells,” said Dr. Alexander, “but many of these have a price tag that is simply astronomical, and insurers aren’t going to bear the brunt of these costs alone.” 

Biosimilars can be a bit more affordable, but “the dirty little secret of biosimilars is that they’re not really very much less expensive,” said Dr. Goodman. “If your patient is doing well on a drug that gets dropped from their insurance plan’s formulary, or if they switch to a plan that doesn’t cover it, try calling and advocating for an exception. It’s an uphill battle, but it sometimes works,” she said.

If not? Help your patients apply for a patient assistance program. Many drug manufacturers offer copay assistance through their websites, and nonprofit patient assistance organizations such as the PAN Foundation, the Patient Advocate Foundation’s Co-Pay Relief Program, or The Assistance Fund can also help fill the gaps. One study published in the Journal of Managed Care and Specialty Pharmacy showed that in patients with rheumatoid arthritis, copay assistance was associated with 79% lower odds of prescription abandonment (failure to fill within 30 days of health plan approval).

Beware of “shiny penny syndrome.” It’s easy to get excited about new, innovative medications, especially when sales reps provide plenty of free samples. “There is a tendency to treat every new medicine as if it’s a bright shiny object in the streambed, and you know that’s not always the case,” said Dr. Alexander. “So, I think we have to be careful, especially in settings when we’re talking about ultra–high-cost medicines, that we’re aware of the burden these medicines may place on patients and that we’re navigating that with patients together, and not simply leaving that as a conversation that never happens in the exam room.”

Maybe there’s an older, time-tested drug that works just as well as the newer, more expensive one. Perhaps there is a slightly less effective medicine that costs a lot less. “These are cost–quality trade-offs that clinicians and patients should be navigating together,” said Dr. Alexander. For example, in a patient with rheumatoid arthritis, a tumor necrosis factor alpha inhibitor might work similarly to or almost as well as an interleukin inhibitor, the newer and typically more expensive choice. 

“Some clinicians may find it quite unpalatable to be potentially compromising on safety or efficacy in the interest of reducing the cost of therapies, but as former Surgeon General C. Everett Koop said, ‘Drugs don’t work in patients who don’t take them,’ ” said Dr. Alexander. “So, if the choice is for someone not to be taking a treatment, or to be taking one that may be a little bit less good, I’ll take the latter.”

Consider the patient’s broader care team. Encourage patients to discuss costs with their other healthcare providers. For patients taking multiple medications, a few adjustments could make a big impact on their wallets. Primary care providers or other specialists might recommend some older and less expensive, but still effective, drugs, such as thiazides for hypertension or metformin for type 2 diabetes. Another option might be to simplify the patient’s regimen or include some fixed-dose combination pills in place of two others.

And if no one has referred the patient to a medical social worker, make the connection. A social worker can put patients in touch with local agencies that can help them with food, housing, and other nonmedical costs. 

Talk about this problem with anyone who will listen. One of the best ways to help patients with rheumatologic diseases is to ensure that decision-makers don’t overlook them. Professional societies such as the American College of Rheumatology can be great resources for advocacy in Washington, DC. Political movements can make drugs more affordable — for example, insulin prices have dropped in recent years because of political pressure, said Dr. Goodman.

“A lot of our national policy now focuses on aiding patients with single high-cost events, but we hope studies like these can really get policymakers to think through how to better support patients with chronic conditions that may have been historically ignored, such as patients with rheumatologic disease,” said Dr. Amen. 

The first step is raising awareness and telling your story. “As providers, we are often [at the] forefront in witnessing how chronic conditions and their associated costs can negatively affect patients’ lives and even alter clinical outcomes,” Dr. Amen added. “By publishing data and sharing meaningful patient stories and clinical vignettes, we can begin to advocate and humanize these patients to policymakers.” 

Information on study funding was not available. All authors reported no relevant financial relationships.
 

A version of this article appeared on Medscape.com.

Many patients struggle with healthcare costs and basic expenses, according to new research.

People with rheumatologic diseases often experience a hidden symptom: financial toxicity or significant economic strain from out-of-pocket costs. A new study of 41,502 patients published in JCR: Journal of Clinical Rheumatology showed that 20% of those with rheumatologic diseases faced financial hardship from medical expenses, with 55% of those unable to pay their bills. 

Compared with patients who do not have rheumatologic diseases, and after clinical and sociodemographic factors were controlled for, patients with rheumatologic diseases were:

• 29% more likely to have high levels of financial hardship — difficulty paying; needing to pay over time; or inability to pay bills for doctors, dentists, hospitals, therapists, medication, equipment, nursing homes, or home care.
• 53% more likely to have high levels of financial distress — significant worry about having enough money for retirement, paying medical costs in the event of a serious illness or accident, maintaining their standard of living, paying their usual healthcare costs, and affording their normal monthly bills and housing costs.
• 29% more likely to experience food insecurity, defined as limited or uncertain access to adequate food.
• 58% more likely to report cost-related medication nonadherence — skipping doses, taking less medication, or delaying filling a prescription to save money.

People who were younger than 64 years, male, Black, or uninsured had higher odds of experiencing financial hardship, financial distress, food insecurity, and cost-related medication nonadherence. 

This study highlights “just how costly everyday rheumatologic conditions can be for your average American,” said lead study author Troy Amen, MD, MBA, an orthopedic surgery resident at the Hospital for Special Surgery in New York City. These diseases can be disabling, limiting a patient’s ability to work at the very time when expensive medications are needed. 

“It’s critical for clinicians to recognize how common the financial burden from healthcare costs can be, and only then can they take steps to better support patients,” said G. Caleb Alexander, MD, MS, professor of epidemiology at Johns Hopkins University in Baltimore, who was not involved in the study. 

Here’s how healthcare providers can help. 

Consider skipped medication a red flag. It’s often the first sign of a financial concern. “Sometimes with these problems, it looks like simple medication noncompliance, but it’s really a more complex form of nonadherence,” said Susan M. Goodman, MD, professor of clinical medicine at Weill Cornell Medicine in New York City and a coauthor of the study. “And I think if someone’s not taking the medication that had been very helpful, it does behoove the physician to try and figure out why that is.”

Normalize the issue to help patients open up. “I will often say, ‘You know, many, many patients don’t take their medicines exactly as prescribed. About how many days a week do you take this medicine?’” said Dr. Alexander. “If you ask in a nonconfrontational, supportive manner, I’ve found that patients are quite candid.” 

Don’t assume insurance has it covered. If patients are uninsured, help them enroll in (or renew) insurance coverage. But don’t assume insurance will solve the whole problem. “There are many people who, although they do have coverage, still can’t afford their medications,” said Dr. Goodman.

For products on high formulary tiers, the patient’s monthly cost can be hundreds to thousands of dollars. “Over the past 10-20 years, we’ve seen remarkable technological innovation in the types of medicines being brought to market, and here, I’m referring primarily to biologics and medicines made from living cells,” said Dr. Alexander, “but many of these have a price tag that is simply astronomical, and insurers aren’t going to bear the brunt of these costs alone.” 

Biosimilars can be a bit more affordable, but “the dirty little secret of biosimilars is that they’re not really very much less expensive,” said Dr. Goodman. “If your patient is doing well on a drug that gets dropped from their insurance plan’s formulary, or if they switch to a plan that doesn’t cover it, try calling and advocating for an exception. It’s an uphill battle, but it sometimes works,” she said.

If not? Help your patients apply for a patient assistance program. Many drug manufacturers offer copay assistance through their websites, and nonprofit patient assistance organizations such as the PAN Foundation, the Patient Advocate Foundation’s Co-Pay Relief Program, or The Assistance Fund can also help fill the gaps. One study published in the Journal of Managed Care and Specialty Pharmacy showed that in patients with rheumatoid arthritis, copay assistance was associated with 79% lower odds of prescription abandonment (failure to fill within 30 days of health plan approval).

Beware of “shiny penny syndrome.” It’s easy to get excited about new, innovative medications, especially when sales reps provide plenty of free samples. “There is a tendency to treat every new medicine as if it’s a bright shiny object in the streambed, and you know that’s not always the case,” said Dr. Alexander. “So, I think we have to be careful, especially in settings when we’re talking about ultra–high-cost medicines, that we’re aware of the burden these medicines may place on patients and that we’re navigating that with patients together, and not simply leaving that as a conversation that never happens in the exam room.”

Maybe there’s an older, time-tested drug that works just as well as the newer, more expensive one. Perhaps there is a slightly less effective medicine that costs a lot less. “These are cost–quality trade-offs that clinicians and patients should be navigating together,” said Dr. Alexander. For example, in a patient with rheumatoid arthritis, a tumor necrosis factor alpha inhibitor might work similarly to or almost as well as an interleukin inhibitor, the newer and typically more expensive choice. 

“Some clinicians may find it quite unpalatable to be potentially compromising on safety or efficacy in the interest of reducing the cost of therapies, but as former Surgeon General C. Everett Koop said, ‘Drugs don’t work in patients who don’t take them,’ ” said Dr. Alexander. “So, if the choice is for someone not to be taking a treatment, or to be taking one that may be a little bit less good, I’ll take the latter.”

Consider the patient’s broader care team. Encourage patients to discuss costs with their other healthcare providers. For patients taking multiple medications, a few adjustments could make a big impact on their wallets. Primary care providers or other specialists might recommend some older and less expensive, but still effective, drugs, such as thiazides for hypertension or metformin for type 2 diabetes. Another option might be to simplify the patient’s regimen or include some fixed-dose combination pills in place of two others.

And if no one has referred the patient to a medical social worker, make the connection. A social worker can put patients in touch with local agencies that can help them with food, housing, and other nonmedical costs. 

Talk about this problem with anyone who will listen. One of the best ways to help patients with rheumatologic diseases is to ensure that decision-makers don’t overlook them. Professional societies such as the American College of Rheumatology can be great resources for advocacy in Washington, DC. Political movements can make drugs more affordable — for example, insulin prices have dropped in recent years because of political pressure, said Dr. Goodman.

“A lot of our national policy now focuses on aiding patients with single high-cost events, but we hope studies like these can really get policymakers to think through how to better support patients with chronic conditions that may have been historically ignored, such as patients with rheumatologic disease,” said Dr. Amen. 

The first step is raising awareness and telling your story. “As providers, we are often [at the] forefront in witnessing how chronic conditions and their associated costs can negatively affect patients’ lives and even alter clinical outcomes,” Dr. Amen added. “By publishing data and sharing meaningful patient stories and clinical vignettes, we can begin to advocate and humanize these patients to policymakers.” 

Information on study funding was not available. All authors reported no relevant financial relationships.
 

A version of this article appeared on Medscape.com.

Many patients struggle with healthcare costs and basic expenses, according to new research.

People with rheumatologic diseases often experience a hidden symptom: financial toxicity or significant economic strain from out-of-pocket costs. A new study of 41,502 patients published in JCR: Journal of Clinical Rheumatology showed that 20% of those with rheumatologic diseases faced financial hardship from medical expenses, with 55% of those unable to pay their bills. 

Compared with patients who do not have rheumatologic diseases, and after clinical and sociodemographic factors were controlled for, patients with rheumatologic diseases were:

• 29% more likely to have high levels of financial hardship — difficulty paying; needing to pay over time; or inability to pay bills for doctors, dentists, hospitals, therapists, medication, equipment, nursing homes, or home care.
• 53% more likely to have high levels of financial distress — significant worry about having enough money for retirement, paying medical costs in the event of a serious illness or accident, maintaining their standard of living, paying their usual healthcare costs, and affording their normal monthly bills and housing costs.
• 29% more likely to experience food insecurity, defined as limited or uncertain access to adequate food.
• 58% more likely to report cost-related medication nonadherence — skipping doses, taking less medication, or delaying filling a prescription to save money.

People who were younger than 64 years, male, Black, or uninsured had higher odds of experiencing financial hardship, financial distress, food insecurity, and cost-related medication nonadherence. 

This study highlights “just how costly everyday rheumatologic conditions can be for your average American,” said lead study author Troy Amen, MD, MBA, an orthopedic surgery resident at the Hospital for Special Surgery in New York City. These diseases can be disabling, limiting a patient’s ability to work at the very time when expensive medications are needed. 

“It’s critical for clinicians to recognize how common the financial burden from healthcare costs can be, and only then can they take steps to better support patients,” said G. Caleb Alexander, MD, MS, professor of epidemiology at Johns Hopkins University in Baltimore, who was not involved in the study. 

Here’s how healthcare providers can help. 

Consider skipped medication a red flag. It’s often the first sign of a financial concern. “Sometimes with these problems, it looks like simple medication noncompliance, but it’s really a more complex form of nonadherence,” said Susan M. Goodman, MD, professor of clinical medicine at Weill Cornell Medicine in New York City and a coauthor of the study. “And I think if someone’s not taking the medication that had been very helpful, it does behoove the physician to try and figure out why that is.”

Normalize the issue to help patients open up. “I will often say, ‘You know, many, many patients don’t take their medicines exactly as prescribed. About how many days a week do you take this medicine?’” said Dr. Alexander. “If you ask in a nonconfrontational, supportive manner, I’ve found that patients are quite candid.” 

Don’t assume insurance has it covered. If patients are uninsured, help them enroll in (or renew) insurance coverage. But don’t assume insurance will solve the whole problem. “There are many people who, although they do have coverage, still can’t afford their medications,” said Dr. Goodman.

For products on high formulary tiers, the patient’s monthly cost can be hundreds to thousands of dollars. “Over the past 10-20 years, we’ve seen remarkable technological innovation in the types of medicines being brought to market, and here, I’m referring primarily to biologics and medicines made from living cells,” said Dr. Alexander, “but many of these have a price tag that is simply astronomical, and insurers aren’t going to bear the brunt of these costs alone.” 

Biosimilars can be a bit more affordable, but “the dirty little secret of biosimilars is that they’re not really very much less expensive,” said Dr. Goodman. “If your patient is doing well on a drug that gets dropped from their insurance plan’s formulary, or if they switch to a plan that doesn’t cover it, try calling and advocating for an exception. It’s an uphill battle, but it sometimes works,” she said.

If not? Help your patients apply for a patient assistance program. Many drug manufacturers offer copay assistance through their websites, and nonprofit patient assistance organizations such as the PAN Foundation, the Patient Advocate Foundation’s Co-Pay Relief Program, or The Assistance Fund can also help fill the gaps. One study published in the Journal of Managed Care and Specialty Pharmacy showed that in patients with rheumatoid arthritis, copay assistance was associated with 79% lower odds of prescription abandonment (failure to fill within 30 days of health plan approval).

Beware of “shiny penny syndrome.” It’s easy to get excited about new, innovative medications, especially when sales reps provide plenty of free samples. “There is a tendency to treat every new medicine as if it’s a bright shiny object in the streambed, and you know that’s not always the case,” said Dr. Alexander. “So, I think we have to be careful, especially in settings when we’re talking about ultra–high-cost medicines, that we’re aware of the burden these medicines may place on patients and that we’re navigating that with patients together, and not simply leaving that as a conversation that never happens in the exam room.”

Maybe there’s an older, time-tested drug that works just as well as the newer, more expensive one. Perhaps there is a slightly less effective medicine that costs a lot less. “These are cost–quality trade-offs that clinicians and patients should be navigating together,” said Dr. Alexander. For example, in a patient with rheumatoid arthritis, a tumor necrosis factor alpha inhibitor might work similarly to or almost as well as an interleukin inhibitor, the newer and typically more expensive choice. 

“Some clinicians may find it quite unpalatable to be potentially compromising on safety or efficacy in the interest of reducing the cost of therapies, but as former Surgeon General C. Everett Koop said, ‘Drugs don’t work in patients who don’t take them,’ ” said Dr. Alexander. “So, if the choice is for someone not to be taking a treatment, or to be taking one that may be a little bit less good, I’ll take the latter.”

Consider the patient’s broader care team. Encourage patients to discuss costs with their other healthcare providers. For patients taking multiple medications, a few adjustments could make a big impact on their wallets. Primary care providers or other specialists might recommend some older and less expensive, but still effective, drugs, such as thiazides for hypertension or metformin for type 2 diabetes. Another option might be to simplify the patient’s regimen or include some fixed-dose combination pills in place of two others.

And if no one has referred the patient to a medical social worker, make the connection. A social worker can put patients in touch with local agencies that can help them with food, housing, and other nonmedical costs. 

Talk about this problem with anyone who will listen. One of the best ways to help patients with rheumatologic diseases is to ensure that decision-makers don’t overlook them. Professional societies such as the American College of Rheumatology can be great resources for advocacy in Washington, DC. Political movements can make drugs more affordable — for example, insulin prices have dropped in recent years because of political pressure, said Dr. Goodman.

“A lot of our national policy now focuses on aiding patients with single high-cost events, but we hope studies like these can really get policymakers to think through how to better support patients with chronic conditions that may have been historically ignored, such as patients with rheumatologic disease,” said Dr. Amen. 

The first step is raising awareness and telling your story. “As providers, we are often [at the] forefront in witnessing how chronic conditions and their associated costs can negatively affect patients’ lives and even alter clinical outcomes,” Dr. Amen added. “By publishing data and sharing meaningful patient stories and clinical vignettes, we can begin to advocate and humanize these patients to policymakers.” 

Information on study funding was not available. All authors reported no relevant financial relationships.
 

A version of this article appeared on Medscape.com.

TOPLINE:

Microwave ablation reduces synovial hypertrophy, the number of monoarthritis attacks, and the need for intra-articular aspiration (IAA) in patients with recurrent monoarthritis, significantly improving functional disability and pain scores.

METHODOLOGY:

• Researchers conducted a prospective study to assess the long-term effects of microwave ablation as adjunct therapy in patients with various rheumatic diseases and recurrent monoarthritis resistant to medical treatment.
• Overall, 24 knee joints of 22 patients (10 women; 12 men; median age, 37 years) with recurrent monoarthritis were included.
• Microwave ablation (15 or 20 W) was performed until microbubbles indicating coagulation necrosis were observed.
• Patients underwent clinical and radiologic follow-up at 2 weeks and at 1, 3, 6, and 12 months post procedure.
• Clinical follow-up included monitoring for remission or recurrence of monoarthritis and any complications.

TAKEAWAY:

• Microwave ablation significantly reduced the IAA count in the last 6 months before ablation from 129 (144 months total) to 7 in a total of 226 months post ablation (P < .001).
• Functional disability and pain scores improved significantly after microwave ablation, with median scores dropping from 9 to 1 (both P < .0001).
• No complications were observed during the procedure or follow-up, indicating the safety of microwave ablation.
• MRI findings showed a significant regression in synovial hypertrophy at 6 months post microwave ablation.

IN PRACTICE:

“Reducing the volume of intractable synovial hypertrophy by shrinking and inactivating with heat-based degradation by MWA [microwave ablation] makes it possible to avoid more systemic treatments or invasive approach and their possible side effects,” the authors wrote.

SOURCE:

The study was led by Rabia Deniz, MD, Department of Rheumatology, University of Health Sciences Başakşehir Çam and Sakura City Hospital in Istanbul, Turkey. It was published online in Rheumatology.

LIMITATIONS:

The relatively small sample size and enrollment of patients with heterogeneous severity and diagnosis of rheumatic diseases may limit the generalizability of the findings. Patient noncompliance with medical treatment and additional mechanical trauma to the targeted joints may have resulted in follow-up problems. The semiobjective evaluation of the ultrasonography and MRI findings with regard to the synovial hypertrophy volume was another limitation.

DISCLOSURES:

The study did not receive any specific funding. The authors declared no relevant conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE:

Microwave ablation reduces synovial hypertrophy, the number of monoarthritis attacks, and the need for intra-articular aspiration (IAA) in patients with recurrent monoarthritis, significantly improving functional disability and pain scores.

METHODOLOGY:

• Researchers conducted a prospective study to assess the long-term effects of microwave ablation as adjunct therapy in patients with various rheumatic diseases and recurrent monoarthritis resistant to medical treatment.
• Overall, 24 knee joints of 22 patients (10 women; 12 men; median age, 37 years) with recurrent monoarthritis were included.
• Microwave ablation (15 or 20 W) was performed until microbubbles indicating coagulation necrosis were observed.
• Patients underwent clinical and radiologic follow-up at 2 weeks and at 1, 3, 6, and 12 months post procedure.
• Clinical follow-up included monitoring for remission or recurrence of monoarthritis and any complications.

TAKEAWAY:

• Microwave ablation significantly reduced the IAA count in the last 6 months before ablation from 129 (144 months total) to 7 in a total of 226 months post ablation (P < .001).
• Functional disability and pain scores improved significantly after microwave ablation, with median scores dropping from 9 to 1 (both P < .0001).
• No complications were observed during the procedure or follow-up, indicating the safety of microwave ablation.
• MRI findings showed a significant regression in synovial hypertrophy at 6 months post microwave ablation.

IN PRACTICE:

“Reducing the volume of intractable synovial hypertrophy by shrinking and inactivating with heat-based degradation by MWA [microwave ablation] makes it possible to avoid more systemic treatments or invasive approach and their possible side effects,” the authors wrote.

SOURCE:

The study was led by Rabia Deniz, MD, Department of Rheumatology, University of Health Sciences Başakşehir Çam and Sakura City Hospital in Istanbul, Turkey. It was published online in Rheumatology.

LIMITATIONS:

The relatively small sample size and enrollment of patients with heterogeneous severity and diagnosis of rheumatic diseases may limit the generalizability of the findings. Patient noncompliance with medical treatment and additional mechanical trauma to the targeted joints may have resulted in follow-up problems. The semiobjective evaluation of the ultrasonography and MRI findings with regard to the synovial hypertrophy volume was another limitation.

DISCLOSURES:

The study did not receive any specific funding. The authors declared no relevant conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE:

Microwave ablation reduces synovial hypertrophy, the number of monoarthritis attacks, and the need for intra-articular aspiration (IAA) in patients with recurrent monoarthritis, significantly improving functional disability and pain scores.

METHODOLOGY:

• Researchers conducted a prospective study to assess the long-term effects of microwave ablation as adjunct therapy in patients with various rheumatic diseases and recurrent monoarthritis resistant to medical treatment.
• Overall, 24 knee joints of 22 patients (10 women; 12 men; median age, 37 years) with recurrent monoarthritis were included.
• Microwave ablation (15 or 20 W) was performed until microbubbles indicating coagulation necrosis were observed.
• Patients underwent clinical and radiologic follow-up at 2 weeks and at 1, 3, 6, and 12 months post procedure.
• Clinical follow-up included monitoring for remission or recurrence of monoarthritis and any complications.

TAKEAWAY:

• Microwave ablation significantly reduced the IAA count in the last 6 months before ablation from 129 (144 months total) to 7 in a total of 226 months post ablation (P < .001).
• Functional disability and pain scores improved significantly after microwave ablation, with median scores dropping from 9 to 1 (both P < .0001).
• No complications were observed during the procedure or follow-up, indicating the safety of microwave ablation.
• MRI findings showed a significant regression in synovial hypertrophy at 6 months post microwave ablation.

IN PRACTICE:

“Reducing the volume of intractable synovial hypertrophy by shrinking and inactivating with heat-based degradation by MWA [microwave ablation] makes it possible to avoid more systemic treatments or invasive approach and their possible side effects,” the authors wrote.

SOURCE:

The study was led by Rabia Deniz, MD, Department of Rheumatology, University of Health Sciences Başakşehir Çam and Sakura City Hospital in Istanbul, Turkey. It was published online in Rheumatology.

LIMITATIONS:

The relatively small sample size and enrollment of patients with heterogeneous severity and diagnosis of rheumatic diseases may limit the generalizability of the findings. Patient noncompliance with medical treatment and additional mechanical trauma to the targeted joints may have resulted in follow-up problems. The semiobjective evaluation of the ultrasonography and MRI findings with regard to the synovial hypertrophy volume was another limitation.

DISCLOSURES:

The study did not receive any specific funding. The authors declared no relevant conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE:

Early detection and treatment of rheumatoid arthritis (RA; within 12 weeks of symptom onset) results in lower treatment-related costs over 5 years compared with later diagnosis.

METHODOLOGY:

• The study enrolled 431 patients in the Leiden Early Arthritis Clinic at Leiden University Medical Center, Leiden, the Netherlands.
• Symptom duration was defined as time between symptom onset and first clinic visit.
• Early treatment was defined as a symptom duration of under 12 weeks, and later treatment defined as symptom duration over 12 weeks.
• Prescription data from patient records and 2022 disease-modifying antirheumatic drug prices (including biologics) was used to determine overall costs over 5 years.
• Autoantibody-negative and autoantibody-positive RA were studied separately because of possible differences in disease severity.

TAKEAWAY:

• For the 165 patients with autoantibody-negative RA, late treatment was associated with 316% higher costs over 5 years than early treatment (€4856/$5292 vs €1159/$1263)
• For antibody-positive RA, costs were 19% higher in the late-treatment group.
• In the 43 patients with antibody-positive RA only prescribed biologics, costs were 46% higher for those with delayed treatment.

IN PRACTICE:

“This is the first study showing the effect of early diagnosis and treatment on treatment-related costs,” wrote the authors. “When RA is detected within 12 weeks after symptom onset, treatment-related costs seem to be lower.”

SOURCE:

The study was led by Elise van Mulligen, PhD, Department of Rheumatology, Leiden University Medical Center. It was published online in Annals of the Rheumatic Diseases. 

LIMITATIONS:

The division of symptom duration by 12 weeks was “arbitrary.” Baseline characteristics, though similar, showed differences for inflammatory markers in autoantibody-positive and autoantibody-negative RA. Thirty seven patients were lost to follow-up, which could induce attrition bias, though the percentage of these patients in the early- and late-treatment groups was similar.

DISCLOSURES:

This study was funded by ZonMw, a Dutch organization for healthcare research. The authors declared no relevant conflicts of interest.

A version of this article appeared on Medscape.com.

TOPLINE:

Early detection and treatment of rheumatoid arthritis (RA; within 12 weeks of symptom onset) results in lower treatment-related costs over 5 years compared with later diagnosis.

METHODOLOGY:

• The study enrolled 431 patients in the Leiden Early Arthritis Clinic at Leiden University Medical Center, Leiden, the Netherlands.
• Symptom duration was defined as time between symptom onset and first clinic visit.
• Early treatment was defined as a symptom duration of under 12 weeks, and later treatment defined as symptom duration over 12 weeks.
• Prescription data from patient records and 2022 disease-modifying antirheumatic drug prices (including biologics) was used to determine overall costs over 5 years.
• Autoantibody-negative and autoantibody-positive RA were studied separately because of possible differences in disease severity.

TAKEAWAY:

• For the 165 patients with autoantibody-negative RA, late treatment was associated with 316% higher costs over 5 years than early treatment (€4856/$5292 vs €1159/$1263)
• For antibody-positive RA, costs were 19% higher in the late-treatment group.
• In the 43 patients with antibody-positive RA only prescribed biologics, costs were 46% higher for those with delayed treatment.

IN PRACTICE:

“This is the first study showing the effect of early diagnosis and treatment on treatment-related costs,” wrote the authors. “When RA is detected within 12 weeks after symptom onset, treatment-related costs seem to be lower.”

SOURCE:

The study was led by Elise van Mulligen, PhD, Department of Rheumatology, Leiden University Medical Center. It was published online in Annals of the Rheumatic Diseases. 

LIMITATIONS:

The division of symptom duration by 12 weeks was “arbitrary.” Baseline characteristics, though similar, showed differences for inflammatory markers in autoantibody-positive and autoantibody-negative RA. Thirty seven patients were lost to follow-up, which could induce attrition bias, though the percentage of these patients in the early- and late-treatment groups was similar.

DISCLOSURES:

This study was funded by ZonMw, a Dutch organization for healthcare research. The authors declared no relevant conflicts of interest.

A version of this article appeared on Medscape.com.

TOPLINE:

Early detection and treatment of rheumatoid arthritis (RA; within 12 weeks of symptom onset) results in lower treatment-related costs over 5 years compared with later diagnosis.

METHODOLOGY:

• The study enrolled 431 patients in the Leiden Early Arthritis Clinic at Leiden University Medical Center, Leiden, the Netherlands.
• Symptom duration was defined as time between symptom onset and first clinic visit.
• Early treatment was defined as a symptom duration of under 12 weeks, and later treatment defined as symptom duration over 12 weeks.
• Prescription data from patient records and 2022 disease-modifying antirheumatic drug prices (including biologics) was used to determine overall costs over 5 years.
• Autoantibody-negative and autoantibody-positive RA were studied separately because of possible differences in disease severity.

TAKEAWAY:

• For the 165 patients with autoantibody-negative RA, late treatment was associated with 316% higher costs over 5 years than early treatment (€4856/$5292 vs €1159/$1263)
• For antibody-positive RA, costs were 19% higher in the late-treatment group.
• In the 43 patients with antibody-positive RA only prescribed biologics, costs were 46% higher for those with delayed treatment.

IN PRACTICE:

“This is the first study showing the effect of early diagnosis and treatment on treatment-related costs,” wrote the authors. “When RA is detected within 12 weeks after symptom onset, treatment-related costs seem to be lower.”

SOURCE:

The study was led by Elise van Mulligen, PhD, Department of Rheumatology, Leiden University Medical Center. It was published online in Annals of the Rheumatic Diseases. 

LIMITATIONS:

The division of symptom duration by 12 weeks was “arbitrary.” Baseline characteristics, though similar, showed differences for inflammatory markers in autoantibody-positive and autoantibody-negative RA. Thirty seven patients were lost to follow-up, which could induce attrition bias, though the percentage of these patients in the early- and late-treatment groups was similar.

DISCLOSURES:

This study was funded by ZonMw, a Dutch organization for healthcare research. The authors declared no relevant conflicts of interest.

A version of this article appeared on Medscape.com.

The oral calcitonin gene-related peptide receptor antagonist atogepant is effective in preventing rebound headache related to medication overuse in patients with chronic migraine (CM), new research suggested.

Results of a subgroup analysis of a phase 3, 12-week randomized, double-blind, placebo-controlled trial showed up to a 62% reduction in the proportion of atogepant-treated participants who met acute medication overuse criteria.

“Based on our findings, treatment with atogepant may potentially decrease the risk of developing rebound headache by reducing the use of pain medications,” principal investigator Peter Goadsby, MD, PhD, of King’s College London, London, England, said in a news release.

The study was published online in Neurology.
 

Effective Prevention Needed

Acute treatments for migraine can mitigate symptoms and reduce disability but can also be ineffective and even result in increased dosing and overuse of these medications, the investigators noted.

Acute medication overuse is defined as “taking simple analgesics for ≥ 15 days per month or taking triptans, ergots, opioids, or combinations of medications for ≥ 10 days per month.”

“There is a high prevalence of pain medication overuse among people with migraine as they try to manage what are often debilitating symptoms,” Dr. Goadsby said. “However, medication overuse can lead to more headaches, called rebound headaches, so more effective preventive treatments are needed.”

Atogepant was developed for migraine prevention in adults. It had been studied in the phase 3 PROGRESS trial, which showed it significantly reduced monthly migraine days (MMDs) compared with placebo during the 12-week trial.

The new subgroup analysis of the study focused specifically on the efficacy and safety of atogepant vs placebo in participants with CM with, and without, medication overuse.

Participants (mean age, 42.1 years; 87.6% women) were randomized to receive either atogepant 30 mg twice daily (n = 253), atogepant 60 mg once daily (n = 256), or placebo (n = 240), with baseline demographics and clinical characteristics similar across all treatment arms. A total of 66.2% met baseline acute medication overuse criteria.

Participants were asked to record migraine and headache experiences in an electronic diary.
 

‘Effective and Safe’

Participants in both atogepant groups experienced fewer monthly headache days (MHDs) than those in the placebo group, with a least squares mean difference (LSMD) of −2.7 (95% confidence interval [CI], −4.0 to −1.4) in the atogepant 30 mg twice daily group and −1.9 (95% CI, −3.2 to −0.6) in the atogepant 60 mg once daily group.

MHDs were also reduced in both treatment groups, with LSMDs of −2.8 (95% CI, −4.0 to −1.5) and −2.1 (95% CI, −3.3 to −0.8), respectively. Mean acute medication use days were lower in both the treatment groups, with LSMDs of −2.8 (95% CI, −4.1 to −1.6) and −2.6 (95% CI, −3.9 to −1.3), respectively.

A higher proportion of participants achieved a ≥ 50% reduction in MMDs with atogepant 30 mg twice daily (odds ratio [OR], 2.5; 95% CI, 1.5-4.0) and atogepant 60 mg once daily (OR, 2.3; 95% CI, 1.4-3.7).

Notably, the researchers found a 52.1%-61.9% reduction in the proportion of atogepant-treated participants meeting acute medication overuse criteria during the study period vs 38.3% in the placebo group.

Similar results were observed in the subgroup without acute medication overuse.

Treatment-emergent adverse events were reported by 55.8% of participants treated with atogepant 30 mg twice daily, 66.1% with atogepant 60 mg once daily, and 48.5% with placebo in the acute medication overuse subgroup, with similar reports in the non-overuse subgroup.

A limitation cited by the authors was that participants’ self-report of migraines and headaches via electronic diaries might have been inaccurate.

Nevertheless, they concluded that the results showed atogepant to be an “effective and safe” preventive treatment for patients with CM with, and without, acute medication overuse.

AbbVie funded this study and participated in the study design, research, analysis, data collection, interpretation of data, reviewing, and approval of the publication. No honoraria or payments were made for authorship. Dr. Goadsby received personal fees from AbbVie during the conduct of the study, and over the last 36 months, he received a research grant from Celgene; personal fees from Aeon Biopharma, Amgen, CoolTechLLC, Dr. Reddy’s, Eli Lilly and Company, Epalex, Lundbeck, Novartis, Pfizer, Praxis, Sanofi, Satsuma, ShiraTronics, Teva Pharmaceuticals, and Tremeau; personal fees for advice through Gerson Lehrman Group, Guidepoint, SAI Med Partners, and Vector Metric; fees for educational materials from CME Outfitters; and publishing royalties or fees from Massachusetts Medical Society, Oxford University Press, UpToDate, and Wolters Kluwer. The other authors’ disclosures are listed on the original paper.

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

The oral calcitonin gene-related peptide receptor antagonist atogepant is effective in preventing rebound headache related to medication overuse in patients with chronic migraine (CM), new research suggested.

Results of a subgroup analysis of a phase 3, 12-week randomized, double-blind, placebo-controlled trial showed up to a 62% reduction in the proportion of atogepant-treated participants who met acute medication overuse criteria.

“Based on our findings, treatment with atogepant may potentially decrease the risk of developing rebound headache by reducing the use of pain medications,” principal investigator Peter Goadsby, MD, PhD, of King’s College London, London, England, said in a news release.

The study was published online in Neurology.
 

Effective Prevention Needed

Acute treatments for migraine can mitigate symptoms and reduce disability but can also be ineffective and even result in increased dosing and overuse of these medications, the investigators noted.

Acute medication overuse is defined as “taking simple analgesics for ≥ 15 days per month or taking triptans, ergots, opioids, or combinations of medications for ≥ 10 days per month.”

“There is a high prevalence of pain medication overuse among people with migraine as they try to manage what are often debilitating symptoms,” Dr. Goadsby said. “However, medication overuse can lead to more headaches, called rebound headaches, so more effective preventive treatments are needed.”

Atogepant was developed for migraine prevention in adults. It had been studied in the phase 3 PROGRESS trial, which showed it significantly reduced monthly migraine days (MMDs) compared with placebo during the 12-week trial.

The new subgroup analysis of the study focused specifically on the efficacy and safety of atogepant vs placebo in participants with CM with, and without, medication overuse.

Participants (mean age, 42.1 years; 87.6% women) were randomized to receive either atogepant 30 mg twice daily (n = 253), atogepant 60 mg once daily (n = 256), or placebo (n = 240), with baseline demographics and clinical characteristics similar across all treatment arms. A total of 66.2% met baseline acute medication overuse criteria.

Participants were asked to record migraine and headache experiences in an electronic diary.
 

‘Effective and Safe’

Participants in both atogepant groups experienced fewer monthly headache days (MHDs) than those in the placebo group, with a least squares mean difference (LSMD) of −2.7 (95% confidence interval [CI], −4.0 to −1.4) in the atogepant 30 mg twice daily group and −1.9 (95% CI, −3.2 to −0.6) in the atogepant 60 mg once daily group.

MHDs were also reduced in both treatment groups, with LSMDs of −2.8 (95% CI, −4.0 to −1.5) and −2.1 (95% CI, −3.3 to −0.8), respectively. Mean acute medication use days were lower in both the treatment groups, with LSMDs of −2.8 (95% CI, −4.1 to −1.6) and −2.6 (95% CI, −3.9 to −1.3), respectively.

A higher proportion of participants achieved a ≥ 50% reduction in MMDs with atogepant 30 mg twice daily (odds ratio [OR], 2.5; 95% CI, 1.5-4.0) and atogepant 60 mg once daily (OR, 2.3; 95% CI, 1.4-3.7).

Notably, the researchers found a 52.1%-61.9% reduction in the proportion of atogepant-treated participants meeting acute medication overuse criteria during the study period vs 38.3% in the placebo group.

Similar results were observed in the subgroup without acute medication overuse.

Treatment-emergent adverse events were reported by 55.8% of participants treated with atogepant 30 mg twice daily, 66.1% with atogepant 60 mg once daily, and 48.5% with placebo in the acute medication overuse subgroup, with similar reports in the non-overuse subgroup.

A limitation cited by the authors was that participants’ self-report of migraines and headaches via electronic diaries might have been inaccurate.

Nevertheless, they concluded that the results showed atogepant to be an “effective and safe” preventive treatment for patients with CM with, and without, acute medication overuse.

AbbVie funded this study and participated in the study design, research, analysis, data collection, interpretation of data, reviewing, and approval of the publication. No honoraria or payments were made for authorship. Dr. Goadsby received personal fees from AbbVie during the conduct of the study, and over the last 36 months, he received a research grant from Celgene; personal fees from Aeon Biopharma, Amgen, CoolTechLLC, Dr. Reddy’s, Eli Lilly and Company, Epalex, Lundbeck, Novartis, Pfizer, Praxis, Sanofi, Satsuma, ShiraTronics, Teva Pharmaceuticals, and Tremeau; personal fees for advice through Gerson Lehrman Group, Guidepoint, SAI Med Partners, and Vector Metric; fees for educational materials from CME Outfitters; and publishing royalties or fees from Massachusetts Medical Society, Oxford University Press, UpToDate, and Wolters Kluwer. The other authors’ disclosures are listed on the original paper.

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

The oral calcitonin gene-related peptide receptor antagonist atogepant is effective in preventing rebound headache related to medication overuse in patients with chronic migraine (CM), new research suggested.

Results of a subgroup analysis of a phase 3, 12-week randomized, double-blind, placebo-controlled trial showed up to a 62% reduction in the proportion of atogepant-treated participants who met acute medication overuse criteria.

“Based on our findings, treatment with atogepant may potentially decrease the risk of developing rebound headache by reducing the use of pain medications,” principal investigator Peter Goadsby, MD, PhD, of King’s College London, London, England, said in a news release.

The study was published online in Neurology.
 

Effective Prevention Needed

Acute treatments for migraine can mitigate symptoms and reduce disability but can also be ineffective and even result in increased dosing and overuse of these medications, the investigators noted.

Acute medication overuse is defined as “taking simple analgesics for ≥ 15 days per month or taking triptans, ergots, opioids, or combinations of medications for ≥ 10 days per month.”

“There is a high prevalence of pain medication overuse among people with migraine as they try to manage what are often debilitating symptoms,” Dr. Goadsby said. “However, medication overuse can lead to more headaches, called rebound headaches, so more effective preventive treatments are needed.”

Atogepant was developed for migraine prevention in adults. It had been studied in the phase 3 PROGRESS trial, which showed it significantly reduced monthly migraine days (MMDs) compared with placebo during the 12-week trial.

The new subgroup analysis of the study focused specifically on the efficacy and safety of atogepant vs placebo in participants with CM with, and without, medication overuse.

Participants (mean age, 42.1 years; 87.6% women) were randomized to receive either atogepant 30 mg twice daily (n = 253), atogepant 60 mg once daily (n = 256), or placebo (n = 240), with baseline demographics and clinical characteristics similar across all treatment arms. A total of 66.2% met baseline acute medication overuse criteria.

Participants were asked to record migraine and headache experiences in an electronic diary.
 

‘Effective and Safe’

Participants in both atogepant groups experienced fewer monthly headache days (MHDs) than those in the placebo group, with a least squares mean difference (LSMD) of −2.7 (95% confidence interval [CI], −4.0 to −1.4) in the atogepant 30 mg twice daily group and −1.9 (95% CI, −3.2 to −0.6) in the atogepant 60 mg once daily group.

MHDs were also reduced in both treatment groups, with LSMDs of −2.8 (95% CI, −4.0 to −1.5) and −2.1 (95% CI, −3.3 to −0.8), respectively. Mean acute medication use days were lower in both the treatment groups, with LSMDs of −2.8 (95% CI, −4.1 to −1.6) and −2.6 (95% CI, −3.9 to −1.3), respectively.

A higher proportion of participants achieved a ≥ 50% reduction in MMDs with atogepant 30 mg twice daily (odds ratio [OR], 2.5; 95% CI, 1.5-4.0) and atogepant 60 mg once daily (OR, 2.3; 95% CI, 1.4-3.7).

Notably, the researchers found a 52.1%-61.9% reduction in the proportion of atogepant-treated participants meeting acute medication overuse criteria during the study period vs 38.3% in the placebo group.

Similar results were observed in the subgroup without acute medication overuse.

Treatment-emergent adverse events were reported by 55.8% of participants treated with atogepant 30 mg twice daily, 66.1% with atogepant 60 mg once daily, and 48.5% with placebo in the acute medication overuse subgroup, with similar reports in the non-overuse subgroup.

A limitation cited by the authors was that participants’ self-report of migraines and headaches via electronic diaries might have been inaccurate.

Nevertheless, they concluded that the results showed atogepant to be an “effective and safe” preventive treatment for patients with CM with, and without, acute medication overuse.

AbbVie funded this study and participated in the study design, research, analysis, data collection, interpretation of data, reviewing, and approval of the publication. No honoraria or payments were made for authorship. Dr. Goadsby received personal fees from AbbVie during the conduct of the study, and over the last 36 months, he received a research grant from Celgene; personal fees from Aeon Biopharma, Amgen, CoolTechLLC, Dr. Reddy’s, Eli Lilly and Company, Epalex, Lundbeck, Novartis, Pfizer, Praxis, Sanofi, Satsuma, ShiraTronics, Teva Pharmaceuticals, and Tremeau; personal fees for advice through Gerson Lehrman Group, Guidepoint, SAI Med Partners, and Vector Metric; fees for educational materials from CME Outfitters; and publishing royalties or fees from Massachusetts Medical Society, Oxford University Press, UpToDate, and Wolters Kluwer. The other authors’ disclosures are listed on the original paper.

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

Hyperkalemia tends to cause panic in healthcare professionals, and rightfully so. On a good day, it causes weakness in the legs; on a bad day, it causes cardiac arrest.

It makes sense that a high potassium level causes clinicians to feel a bit jumpy. This anxiety tends to result in treating the issue by overly restricting potassium in the diet. The problem with this method is that it should be temporary but often isn’t. There are only a few concerns that justify long-term potassium restriction.

As a dietitian, I have seen numerous patients with varying disease states who are terrified of potassium because they were never properly educated on the situation that required restriction or were never notified that their potassium was corrected. 

I’ve seen patients whose potassium level hasn’t been elevated in years refuse banana bread because they were told that they could never eat a banana again. I’ve worked with patients who continued to needlessly restrict, which eventually led to hypokalemia.

Not only does this indicate ineffective education — banana bread is actually a low-potassium food at about 80 mg per slice — but also poor follow-up. 

Potassium has been designated by the United States Department of Agriculture as a nutrient of public health concern due to its underconsumption in the general population. Although there is concern in the public health community that the current guidelines for potassium intake (3500-4700 mg/d) are unattainable, with some professionals arguing for lowering the standard, there remains significant deficiency in the general population. This deficiency has also been connected to increasing rates of hypertension and cardiovascular disease. 
 

Nondietary Causes of Hyperkalemia 

There are many causes of hyperkalemia, of which excessive potassium intake is only one, and an uncommon one at that. A high potassium level should resolve during the course of treatment for metabolic acidosis, hyperglycemia, and dehydration. We may also see resolution with medication changes. But the question remains: Are we relaying this information to patients?

Renal insufficiency is a common cause of hyperkalemia, but it is also a common cause of chronic constipation that can cause hyperkalemia as well. Are we addressing bowel movements with these patients? I often work with patients who aren’t having their bowel movements addressed until the patient themselves voices discomfort. 

Depending upon the urgency of treatment, potassium restriction may be the most effective and efficient way to address an acutely elevated value. However, long-term potassium restriction may not be an appropriate intervention for all patients, even those with kidney conditions.

As a dietitian, I have seen many patients who overly restrict dietary potassium because they had one elevated value. These patients tend to view potassium as the enemy because they were never educated on the actual cause of their hyperkalemia. They were simply given a list of high-potassium foods and told to avoid them. A lack of follow-up education may cause them to avoid those foods forever. 
 

Benefits of Potassium

The problem with this perpetual avoidance of high potassium foods is that a potassium-rich diet has been shown to be exceptionally beneficial. 

Potassium exists in many forms in the Western diet: as a preservative and additive, a salt substitute, and naturally occurring in both animal and plant products. My concern regarding blanket potassium restriction is that potassium-rich plant and animal products can actually be beneficial, even to those with kidney and heart conditions who are most often advised to restrict its intake. 

Adequate potassium intake can: 

• Decrease blood pressure by increasing urinary excretion of sodium
• Improve nephrolithiasis by decreasing urinary excretion of calcium
• Decrease incidence of metabolic acidosis by providing precursors to bicarbonate that facilitate excretion of potassium
• Increase bone density in postmenopausal women
• Decrease risk for stroke and cardiovascular disease in the general population

One study found that metabolic acidosis can be corrected in patients with stage 4 chronic kidney disease, without hyperkalemia, by increasing fruit and vegetable intake when compared with those treated with bicarbonate alone, thus preserving kidney function.

Do I suggest encouraging a patient with acute hyperkalemia to eat a banana? Of course not. But I would suggest finding ways to work with patients who have chronic hyperkalemia to increase intake of potassium-rich plant foods to maintain homeostasis while liberalizing diet and preventing progression of chronic kidney disease. 
 

When to Refer to a Dietitian

In patients for whom a potassium-restricted diet is a necessary long-term treatment of hyperkalemia, education with a registered dietitian can be beneficial. A registered dietitian has the time and expertise to address the areas in the diet where excessive potassium exists without forfeiting other nutritional benefits that come from whole foods like fruits, vegetables, lean protein, legumes, nuts, and seeds in a way that is both realistic and helpful. A dietitian can work with patients to reduce intake of potassium-containing salt substitutes, preservatives, and other additives while still encouraging a whole-food diet rich in antioxidants, fiber, and healthy fats.

Dietitians also provide education on serving size and methods to reduce potassium content of food.

For example, tomatoes are a high-potassium food at 300+ mg per medium-sized tomato. But how often does a patient eat a whole tomato? A slice of tomato on a sandwich or a handful of cherry tomatoes in a salad are actually low in potassium per serving and can provide additional nutrients like vitamin C, beta-carotene, and antioxidants like lycopene, which is linked to a decreased incidence of prostate cancer.

By incorporating the assistance of a registered dietitian into the treatment of chronic hyperkalemia, we can develop individualized restrictions that are realistic for the patient and tailored to their nutritional needs to promote optimal health and thus encourage continued compliance. 

Ms. Winfree is a renal dietitian in private practice in Mary Esther, Florida. She disclosed no relevant conflicts of interest.

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

Hyperkalemia tends to cause panic in healthcare professionals, and rightfully so. On a good day, it causes weakness in the legs; on a bad day, it causes cardiac arrest.

It makes sense that a high potassium level causes clinicians to feel a bit jumpy. This anxiety tends to result in treating the issue by overly restricting potassium in the diet. The problem with this method is that it should be temporary but often isn’t. There are only a few concerns that justify long-term potassium restriction.

As a dietitian, I have seen numerous patients with varying disease states who are terrified of potassium because they were never properly educated on the situation that required restriction or were never notified that their potassium was corrected. 

I’ve seen patients whose potassium level hasn’t been elevated in years refuse banana bread because they were told that they could never eat a banana again. I’ve worked with patients who continued to needlessly restrict, which eventually led to hypokalemia.

Not only does this indicate ineffective education — banana bread is actually a low-potassium food at about 80 mg per slice — but also poor follow-up. 

Potassium has been designated by the United States Department of Agriculture as a nutrient of public health concern due to its underconsumption in the general population. Although there is concern in the public health community that the current guidelines for potassium intake (3500-4700 mg/d) are unattainable, with some professionals arguing for lowering the standard, there remains significant deficiency in the general population. This deficiency has also been connected to increasing rates of hypertension and cardiovascular disease. 
 

Nondietary Causes of Hyperkalemia 

There are many causes of hyperkalemia, of which excessive potassium intake is only one, and an uncommon one at that. A high potassium level should resolve during the course of treatment for metabolic acidosis, hyperglycemia, and dehydration. We may also see resolution with medication changes. But the question remains: Are we relaying this information to patients?

Renal insufficiency is a common cause of hyperkalemia, but it is also a common cause of chronic constipation that can cause hyperkalemia as well. Are we addressing bowel movements with these patients? I often work with patients who aren’t having their bowel movements addressed until the patient themselves voices discomfort. 

Depending upon the urgency of treatment, potassium restriction may be the most effective and efficient way to address an acutely elevated value. However, long-term potassium restriction may not be an appropriate intervention for all patients, even those with kidney conditions.

As a dietitian, I have seen many patients who overly restrict dietary potassium because they had one elevated value. These patients tend to view potassium as the enemy because they were never educated on the actual cause of their hyperkalemia. They were simply given a list of high-potassium foods and told to avoid them. A lack of follow-up education may cause them to avoid those foods forever. 
 

Benefits of Potassium

The problem with this perpetual avoidance of high potassium foods is that a potassium-rich diet has been shown to be exceptionally beneficial. 

Potassium exists in many forms in the Western diet: as a preservative and additive, a salt substitute, and naturally occurring in both animal and plant products. My concern regarding blanket potassium restriction is that potassium-rich plant and animal products can actually be beneficial, even to those with kidney and heart conditions who are most often advised to restrict its intake. 

Adequate potassium intake can: 

• Decrease blood pressure by increasing urinary excretion of sodium
• Improve nephrolithiasis by decreasing urinary excretion of calcium
• Decrease incidence of metabolic acidosis by providing precursors to bicarbonate that facilitate excretion of potassium
• Increase bone density in postmenopausal women
• Decrease risk for stroke and cardiovascular disease in the general population

One study found that metabolic acidosis can be corrected in patients with stage 4 chronic kidney disease, without hyperkalemia, by increasing fruit and vegetable intake when compared with those treated with bicarbonate alone, thus preserving kidney function.

Do I suggest encouraging a patient with acute hyperkalemia to eat a banana? Of course not. But I would suggest finding ways to work with patients who have chronic hyperkalemia to increase intake of potassium-rich plant foods to maintain homeostasis while liberalizing diet and preventing progression of chronic kidney disease. 
 

When to Refer to a Dietitian

In patients for whom a potassium-restricted diet is a necessary long-term treatment of hyperkalemia, education with a registered dietitian can be beneficial. A registered dietitian has the time and expertise to address the areas in the diet where excessive potassium exists without forfeiting other nutritional benefits that come from whole foods like fruits, vegetables, lean protein, legumes, nuts, and seeds in a way that is both realistic and helpful. A dietitian can work with patients to reduce intake of potassium-containing salt substitutes, preservatives, and other additives while still encouraging a whole-food diet rich in antioxidants, fiber, and healthy fats.

Dietitians also provide education on serving size and methods to reduce potassium content of food.

For example, tomatoes are a high-potassium food at 300+ mg per medium-sized tomato. But how often does a patient eat a whole tomato? A slice of tomato on a sandwich or a handful of cherry tomatoes in a salad are actually low in potassium per serving and can provide additional nutrients like vitamin C, beta-carotene, and antioxidants like lycopene, which is linked to a decreased incidence of prostate cancer.

By incorporating the assistance of a registered dietitian into the treatment of chronic hyperkalemia, we can develop individualized restrictions that are realistic for the patient and tailored to their nutritional needs to promote optimal health and thus encourage continued compliance. 

Ms. Winfree is a renal dietitian in private practice in Mary Esther, Florida. She disclosed no relevant conflicts of interest.

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

Hyperkalemia tends to cause panic in healthcare professionals, and rightfully so. On a good day, it causes weakness in the legs; on a bad day, it causes cardiac arrest.

It makes sense that a high potassium level causes clinicians to feel a bit jumpy. This anxiety tends to result in treating the issue by overly restricting potassium in the diet. The problem with this method is that it should be temporary but often isn’t. There are only a few concerns that justify long-term potassium restriction.

As a dietitian, I have seen numerous patients with varying disease states who are terrified of potassium because they were never properly educated on the situation that required restriction or were never notified that their potassium was corrected. 

I’ve seen patients whose potassium level hasn’t been elevated in years refuse banana bread because they were told that they could never eat a banana again. I’ve worked with patients who continued to needlessly restrict, which eventually led to hypokalemia.

Not only does this indicate ineffective education — banana bread is actually a low-potassium food at about 80 mg per slice — but also poor follow-up. 

Potassium has been designated by the United States Department of Agriculture as a nutrient of public health concern due to its underconsumption in the general population. Although there is concern in the public health community that the current guidelines for potassium intake (3500-4700 mg/d) are unattainable, with some professionals arguing for lowering the standard, there remains significant deficiency in the general population. This deficiency has also been connected to increasing rates of hypertension and cardiovascular disease. 
 

Nondietary Causes of Hyperkalemia 

There are many causes of hyperkalemia, of which excessive potassium intake is only one, and an uncommon one at that. A high potassium level should resolve during the course of treatment for metabolic acidosis, hyperglycemia, and dehydration. We may also see resolution with medication changes. But the question remains: Are we relaying this information to patients?

Renal insufficiency is a common cause of hyperkalemia, but it is also a common cause of chronic constipation that can cause hyperkalemia as well. Are we addressing bowel movements with these patients? I often work with patients who aren’t having their bowel movements addressed until the patient themselves voices discomfort. 

Depending upon the urgency of treatment, potassium restriction may be the most effective and efficient way to address an acutely elevated value. However, long-term potassium restriction may not be an appropriate intervention for all patients, even those with kidney conditions.

As a dietitian, I have seen many patients who overly restrict dietary potassium because they had one elevated value. These patients tend to view potassium as the enemy because they were never educated on the actual cause of their hyperkalemia. They were simply given a list of high-potassium foods and told to avoid them. A lack of follow-up education may cause them to avoid those foods forever. 
 

Benefits of Potassium

The problem with this perpetual avoidance of high potassium foods is that a potassium-rich diet has been shown to be exceptionally beneficial. 

Potassium exists in many forms in the Western diet: as a preservative and additive, a salt substitute, and naturally occurring in both animal and plant products. My concern regarding blanket potassium restriction is that potassium-rich plant and animal products can actually be beneficial, even to those with kidney and heart conditions who are most often advised to restrict its intake. 

Adequate potassium intake can: 

• Decrease blood pressure by increasing urinary excretion of sodium
• Improve nephrolithiasis by decreasing urinary excretion of calcium
• Decrease incidence of metabolic acidosis by providing precursors to bicarbonate that facilitate excretion of potassium
• Increase bone density in postmenopausal women
• Decrease risk for stroke and cardiovascular disease in the general population

One study found that metabolic acidosis can be corrected in patients with stage 4 chronic kidney disease, without hyperkalemia, by increasing fruit and vegetable intake when compared with those treated with bicarbonate alone, thus preserving kidney function.

Do I suggest encouraging a patient with acute hyperkalemia to eat a banana? Of course not. But I would suggest finding ways to work with patients who have chronic hyperkalemia to increase intake of potassium-rich plant foods to maintain homeostasis while liberalizing diet and preventing progression of chronic kidney disease. 
 

When to Refer to a Dietitian

In patients for whom a potassium-restricted diet is a necessary long-term treatment of hyperkalemia, education with a registered dietitian can be beneficial. A registered dietitian has the time and expertise to address the areas in the diet where excessive potassium exists without forfeiting other nutritional benefits that come from whole foods like fruits, vegetables, lean protein, legumes, nuts, and seeds in a way that is both realistic and helpful. A dietitian can work with patients to reduce intake of potassium-containing salt substitutes, preservatives, and other additives while still encouraging a whole-food diet rich in antioxidants, fiber, and healthy fats.

Dietitians also provide education on serving size and methods to reduce potassium content of food.

For example, tomatoes are a high-potassium food at 300+ mg per medium-sized tomato. But how often does a patient eat a whole tomato? A slice of tomato on a sandwich or a handful of cherry tomatoes in a salad are actually low in potassium per serving and can provide additional nutrients like vitamin C, beta-carotene, and antioxidants like lycopene, which is linked to a decreased incidence of prostate cancer.

By incorporating the assistance of a registered dietitian into the treatment of chronic hyperkalemia, we can develop individualized restrictions that are realistic for the patient and tailored to their nutritional needs to promote optimal health and thus encourage continued compliance. 

Ms. Winfree is a renal dietitian in private practice in Mary Esther, Florida. She disclosed no relevant conflicts of interest.

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

The role of body mass index (BMI) in defining obesity and the definition of obesity as a disease merit reevaluation to avoid unintended consequences, experts said in three new opinion papers.

The three statements were published on July 22, 2024, in Annals of Internal Medicine. In one, the authors expressed caution about the recent movement away from using BMI alone to define obesity, noting that the measure remains a useful population-level and clinical tool for addressing adiposity, particularly within racial and ethnic groups. But the authors of a second paper pointed out that the use of lower BMI cutoffs to define obesity in Asian populations, in place since 2004, is inadequate in part because it doesn’t account for heterogeneity among different Asian groups.

And in the third paper, an editorial, an Annals editor cautioned that the recent framing of obesity exclusively as a “disease” rather than a “broader, more inclusive construct” may inadvertently reinforce the bias it was meant to combat.

Asked to comment on the issues raised in the papers, Professor Gijs Goossens of Maastricht University Medical Center, Maastricht, the Netherlands, said, “It is important to emphasize that the management and treatment of obesity have wider objectives than weight loss alone and include the prevention, resolution, or improvement of obesity-related complications; achieving better quality of life and mental well-being; and improvement of physical and social functioning.”

Added Dr. Goossens, who was an author of a recent European Association for the Study of Obesity (EASO) framework calling for moving beyond BMI in defining obesity, “Personalized therapeutic goals should be set at the beginning of the treatment, according to the stage of obesity, taking into account available therapeutic options, possible side effects or risks, and patient preferences. The drivers of obesity and possible barriers to treatment should also be discussed with the patient.” Dr. Goossens emphasized that he was providing his personal views and not speaking for the EASO or his coauthors.
 

BMI: ‘Not a Perfect Measure of Adiposity but Remains Useful’

In their “Ideas and Opinions” paper, Adolfo G. Cuevas, PhD, of New York University School of Global Public Health, New York City, and Walter C. Willett, MD, DrPH, of Harvard T.H. Chan School of Public Health, Boston, argued that “BMI, although not a perfect measure of adiposity, remains a useful population-level and clinical tool for addressing adiposity, including within groups defined by race and ethnicity.”

They added that despite the criticism that BMI doesn’t distinguish between fat and lean body mass, the measure still strongly correlates with fat mass as well as cardiovascular risk and mortality, and it does so similarly across racial and ethnic groups.

Clinically, Dr. Cuevas and Dr. Willett pointed out that BMI correlates fat mass as assessed with the gold standard measure dual x-ray absorptiometry but is far simpler and less expensive. Measuring waist circumference can provide additional information about visceral fat and disease risk but is “more difficult to standardize and suffers from the same limitations as BMI when cut points are used.”

They suggest the addition of change in weight since early adulthood and over time as a “simple and sensitive variable” for assessing adiposity.

Luca Busetto, MD, associate professor of medicine at the University of Padua, Italy, and the first author of the EASO framework, said, “The paper from Cuevas and Willett sounds like a strong defense of BMI, and I can substantially agree with this defense ... We remain anchored on BMI, but we tried to move beyond it adding an estimate of high risk abdominal fat — waist to height ratio — and coupling the anthropometric assessment with a complete clinical evaluation and staging.”

Dr. Goossens said, “I agree with the authors that despite the limitations of BMI as a measure of body fatness, it remains a useful clinical screening tool. Yet the diagnosis of obesity should not be based solely on BMI” due to the stronger association of abdominal fat with cardiometabolic complications.

That link, he noted, “also applies to individuals with a BMI level below the current cutoff values for obesity, who may already have medical, functional, or psychological impairments. We should be aware of the risk of undertreatment in this particular group of patients.”
 

Does Calling Obesity a ‘Disease’ Have Unintended Consequences?

In her editorial, Christina C. Wee, MD, senior deputy editor, Annals of Internal Medicine, wrote, “Beyond diagnostic challenges, framing obesity exclusively as a disease rather than a broader, more inclusive construct may have unintended consequences — including reinforcing the weight bias this framing was in part intended to combat.”

Focusing solely on biological causes of obesity while ignoring psychosocial, cultural, environmental, and behavioral contexts could undermine public health and policy efforts to address those factors, Dr. Wee argued.

Moreover, she wrote, “Ironically, framing obesity as a disease to justify coverage for treatment reinforces weight bias. It conflates the need to label a condition a disease with healthcare reimbursement and raises the stakes for developing accurate diagnostic criteria ... By exclusively linking obesity as a disease to reimbursement, it sends the message that only those who manifest disease from excess adiposity warrant treatment — and, by inference, those on the continuum who have not yet manifested disease do not warrant treatment.”

Likening obesity to other risk factors such as hypertension or dyslipidemia for which treatment is typically reimbursed, Dr. Wee pointed out that Medicare still prohibits coverage of medications for obesity.

Regarding the high costs of newer obesity medications and the need for payers and clinicians to ration their use, Dr. Wee argued, “Rather than focusing on whether one’s adiposity conforms to an expert panel’s definition of ‘disease,’ we should address how to best stage obesity risk with sufficient accuracy and fairness and reach a consensus on how to prioritize and match treatments to individual patients.”

Dr. Busetto said that EASO stands by its definition of obesity as a disease, adding “we can adhere to the suggestion of a holistic approach deciding treatment modalities according to the risk and the presence of mental, functional, and medical complications of impairments. Of course, we cannot agree on any proposal that is oriented at leaving patients with obesity still in the asymptomatic phase of the disease without treatment. This would be like treating diabetes only after the occurrence of nephropathy or managing hypertension only after a stroke. Prevention of the symptomatic stage is a part of obesity management, even beyond weight loss.”

Dr. Goossens said, “indeed, it is of utmost importance to develop accurate risk stratification tools for adequately clinical staging of obesity, according to the severity of its medical, psychological and functional impairments.”
 

Do the Current Lower BMI Cutoffs for Defining Obesity in Asian People Make Sense?

Simar S. Bajaj, AB, of Harvard University, Cambridge, Massachusetts, and colleagues, all of Harvard Medical School, Boston, raised several concerns regarding the 2004 World Health Organization’s suggestion to use lower BMI categories for defining overweight and obesity in Asian populations, that is, 23-27.5 kg/m² and 27.5 kg/m² or higher for obesity, respectively, as opposed to 25-29.9 and ≥ 30, respectively, for other populations.

Different Asian countries have created their own obesity BMI cutoffs, ranging from 25 kg/m² in India to 28 kg/m² in China. But “Asian Americans continue to be treated as a monolith without official disaggregated cutoffs,” Mr. Bajaj and colleagues noted.

The heterogeneity translates to different risk levels across Asian subgroups. For example, in one study, age- and sex-adjusted BMI cutoffs for increased risk of developing type 2 diabetes were 23.9 kg/m² in South Asian populations, 26.6 kg/m² in Arab populations, 26.9 kg/m² in Chinese populations, and 28.1 kg/m² in Black populations.

These findings raise important questions, the researchers said. “Does it make sense for people of Chinese descent to use the same BMI threshold as the South Asian group when their ‘equivalent risk cutoff’ is closer to that of Arab and Black groups who share the standard BMI threshold?” Most data in this area are cross-sectional rather than the longitudinal data needed to answer those questions, they noted.

They suggest that professional diabetes and obesity organizations consider BMI thresholds to be “placeholders” until more sensitive and specific thresholds can be defined for Asian American populations.

Mr. Bajaj and colleagues also noted the need for disaggregated data is not unique to Asian groups but that they focused on Asian Americans for two main reasons. “First, success would create a precedent for complete disaggregation and help ensure that other groups do not stall at an intermediary level. Second, substantial research into Asian ethnic groups — and the WHO’s precedent 20 years ago — creates a solid foundation to build upon.”

Ultimately, they said, “advancing equity will require funding research that engages diverse Asian communities and developing tailored interventions for all ethnicities.”

Dr. Cuevas, Dr. Willett, Mr. Bajaj, and Dr. Wee had no disclosures. Dr. Goossens received research funding from the European Foundation for the Study of Diabetes, the Dutch Diabetes Research Foundation, and the Dutch Research Council. Dr. Busetto received personal funding from Novo Nordisk, Boehringer Ingelheim, Eli Lilly, Pfizer, and Bruno Farmaceutici as a member of advisory boards and from Rhythm Pharmaceuticals and Pronokal as a speaker.
 

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

The role of body mass index (BMI) in defining obesity and the definition of obesity as a disease merit reevaluation to avoid unintended consequences, experts said in three new opinion papers.

The three statements were published on July 22, 2024, in Annals of Internal Medicine. In one, the authors expressed caution about the recent movement away from using BMI alone to define obesity, noting that the measure remains a useful population-level and clinical tool for addressing adiposity, particularly within racial and ethnic groups. But the authors of a second paper pointed out that the use of lower BMI cutoffs to define obesity in Asian populations, in place since 2004, is inadequate in part because it doesn’t account for heterogeneity among different Asian groups.

And in the third paper, an editorial, an Annals editor cautioned that the recent framing of obesity exclusively as a “disease” rather than a “broader, more inclusive construct” may inadvertently reinforce the bias it was meant to combat.

Asked to comment on the issues raised in the papers, Professor Gijs Goossens of Maastricht University Medical Center, Maastricht, the Netherlands, said, “It is important to emphasize that the management and treatment of obesity have wider objectives than weight loss alone and include the prevention, resolution, or improvement of obesity-related complications; achieving better quality of life and mental well-being; and improvement of physical and social functioning.”

Added Dr. Goossens, who was an author of a recent European Association for the Study of Obesity (EASO) framework calling for moving beyond BMI in defining obesity, “Personalized therapeutic goals should be set at the beginning of the treatment, according to the stage of obesity, taking into account available therapeutic options, possible side effects or risks, and patient preferences. The drivers of obesity and possible barriers to treatment should also be discussed with the patient.” Dr. Goossens emphasized that he was providing his personal views and not speaking for the EASO or his coauthors.
 

BMI: ‘Not a Perfect Measure of Adiposity but Remains Useful’

In their “Ideas and Opinions” paper, Adolfo G. Cuevas, PhD, of New York University School of Global Public Health, New York City, and Walter C. Willett, MD, DrPH, of Harvard T.H. Chan School of Public Health, Boston, argued that “BMI, although not a perfect measure of adiposity, remains a useful population-level and clinical tool for addressing adiposity, including within groups defined by race and ethnicity.”

They added that despite the criticism that BMI doesn’t distinguish between fat and lean body mass, the measure still strongly correlates with fat mass as well as cardiovascular risk and mortality, and it does so similarly across racial and ethnic groups.

Clinically, Dr. Cuevas and Dr. Willett pointed out that BMI correlates fat mass as assessed with the gold standard measure dual x-ray absorptiometry but is far simpler and less expensive. Measuring waist circumference can provide additional information about visceral fat and disease risk but is “more difficult to standardize and suffers from the same limitations as BMI when cut points are used.”

They suggest the addition of change in weight since early adulthood and over time as a “simple and sensitive variable” for assessing adiposity.

Luca Busetto, MD, associate professor of medicine at the University of Padua, Italy, and the first author of the EASO framework, said, “The paper from Cuevas and Willett sounds like a strong defense of BMI, and I can substantially agree with this defense ... We remain anchored on BMI, but we tried to move beyond it adding an estimate of high risk abdominal fat — waist to height ratio — and coupling the anthropometric assessment with a complete clinical evaluation and staging.”

Dr. Goossens said, “I agree with the authors that despite the limitations of BMI as a measure of body fatness, it remains a useful clinical screening tool. Yet the diagnosis of obesity should not be based solely on BMI” due to the stronger association of abdominal fat with cardiometabolic complications.

That link, he noted, “also applies to individuals with a BMI level below the current cutoff values for obesity, who may already have medical, functional, or psychological impairments. We should be aware of the risk of undertreatment in this particular group of patients.”
 

Does Calling Obesity a ‘Disease’ Have Unintended Consequences?

In her editorial, Christina C. Wee, MD, senior deputy editor, Annals of Internal Medicine, wrote, “Beyond diagnostic challenges, framing obesity exclusively as a disease rather than a broader, more inclusive construct may have unintended consequences — including reinforcing the weight bias this framing was in part intended to combat.”

Focusing solely on biological causes of obesity while ignoring psychosocial, cultural, environmental, and behavioral contexts could undermine public health and policy efforts to address those factors, Dr. Wee argued.

Moreover, she wrote, “Ironically, framing obesity as a disease to justify coverage for treatment reinforces weight bias. It conflates the need to label a condition a disease with healthcare reimbursement and raises the stakes for developing accurate diagnostic criteria ... By exclusively linking obesity as a disease to reimbursement, it sends the message that only those who manifest disease from excess adiposity warrant treatment — and, by inference, those on the continuum who have not yet manifested disease do not warrant treatment.”

Likening obesity to other risk factors such as hypertension or dyslipidemia for which treatment is typically reimbursed, Dr. Wee pointed out that Medicare still prohibits coverage of medications for obesity.

Regarding the high costs of newer obesity medications and the need for payers and clinicians to ration their use, Dr. Wee argued, “Rather than focusing on whether one’s adiposity conforms to an expert panel’s definition of ‘disease,’ we should address how to best stage obesity risk with sufficient accuracy and fairness and reach a consensus on how to prioritize and match treatments to individual patients.”

Dr. Busetto said that EASO stands by its definition of obesity as a disease, adding “we can adhere to the suggestion of a holistic approach deciding treatment modalities according to the risk and the presence of mental, functional, and medical complications of impairments. Of course, we cannot agree on any proposal that is oriented at leaving patients with obesity still in the asymptomatic phase of the disease without treatment. This would be like treating diabetes only after the occurrence of nephropathy or managing hypertension only after a stroke. Prevention of the symptomatic stage is a part of obesity management, even beyond weight loss.”

Dr. Goossens said, “indeed, it is of utmost importance to develop accurate risk stratification tools for adequately clinical staging of obesity, according to the severity of its medical, psychological and functional impairments.”
 

Do the Current Lower BMI Cutoffs for Defining Obesity in Asian People Make Sense?

Simar S. Bajaj, AB, of Harvard University, Cambridge, Massachusetts, and colleagues, all of Harvard Medical School, Boston, raised several concerns regarding the 2004 World Health Organization’s suggestion to use lower BMI categories for defining overweight and obesity in Asian populations, that is, 23-27.5 kg/m² and 27.5 kg/m² or higher for obesity, respectively, as opposed to 25-29.9 and ≥ 30, respectively, for other populations.

Different Asian countries have created their own obesity BMI cutoffs, ranging from 25 kg/m² in India to 28 kg/m² in China. But “Asian Americans continue to be treated as a monolith without official disaggregated cutoffs,” Mr. Bajaj and colleagues noted.

The heterogeneity translates to different risk levels across Asian subgroups. For example, in one study, age- and sex-adjusted BMI cutoffs for increased risk of developing type 2 diabetes were 23.9 kg/m² in South Asian populations, 26.6 kg/m² in Arab populations, 26.9 kg/m² in Chinese populations, and 28.1 kg/m² in Black populations.

These findings raise important questions, the researchers said. “Does it make sense for people of Chinese descent to use the same BMI threshold as the South Asian group when their ‘equivalent risk cutoff’ is closer to that of Arab and Black groups who share the standard BMI threshold?” Most data in this area are cross-sectional rather than the longitudinal data needed to answer those questions, they noted.

They suggest that professional diabetes and obesity organizations consider BMI thresholds to be “placeholders” until more sensitive and specific thresholds can be defined for Asian American populations.

Mr. Bajaj and colleagues also noted the need for disaggregated data is not unique to Asian groups but that they focused on Asian Americans for two main reasons. “First, success would create a precedent for complete disaggregation and help ensure that other groups do not stall at an intermediary level. Second, substantial research into Asian ethnic groups — and the WHO’s precedent 20 years ago — creates a solid foundation to build upon.”

Ultimately, they said, “advancing equity will require funding research that engages diverse Asian communities and developing tailored interventions for all ethnicities.”

Dr. Cuevas, Dr. Willett, Mr. Bajaj, and Dr. Wee had no disclosures. Dr. Goossens received research funding from the European Foundation for the Study of Diabetes, the Dutch Diabetes Research Foundation, and the Dutch Research Council. Dr. Busetto received personal funding from Novo Nordisk, Boehringer Ingelheim, Eli Lilly, Pfizer, and Bruno Farmaceutici as a member of advisory boards and from Rhythm Pharmaceuticals and Pronokal as a speaker.
 

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

The role of body mass index (BMI) in defining obesity and the definition of obesity as a disease merit reevaluation to avoid unintended consequences, experts said in three new opinion papers.

The three statements were published on July 22, 2024, in Annals of Internal Medicine. In one, the authors expressed caution about the recent movement away from using BMI alone to define obesity, noting that the measure remains a useful population-level and clinical tool for addressing adiposity, particularly within racial and ethnic groups. But the authors of a second paper pointed out that the use of lower BMI cutoffs to define obesity in Asian populations, in place since 2004, is inadequate in part because it doesn’t account for heterogeneity among different Asian groups.

And in the third paper, an editorial, an Annals editor cautioned that the recent framing of obesity exclusively as a “disease” rather than a “broader, more inclusive construct” may inadvertently reinforce the bias it was meant to combat.

Asked to comment on the issues raised in the papers, Professor Gijs Goossens of Maastricht University Medical Center, Maastricht, the Netherlands, said, “It is important to emphasize that the management and treatment of obesity have wider objectives than weight loss alone and include the prevention, resolution, or improvement of obesity-related complications; achieving better quality of life and mental well-being; and improvement of physical and social functioning.”

Added Dr. Goossens, who was an author of a recent European Association for the Study of Obesity (EASO) framework calling for moving beyond BMI in defining obesity, “Personalized therapeutic goals should be set at the beginning of the treatment, according to the stage of obesity, taking into account available therapeutic options, possible side effects or risks, and patient preferences. The drivers of obesity and possible barriers to treatment should also be discussed with the patient.” Dr. Goossens emphasized that he was providing his personal views and not speaking for the EASO or his coauthors.
 

BMI: ‘Not a Perfect Measure of Adiposity but Remains Useful’

In their “Ideas and Opinions” paper, Adolfo G. Cuevas, PhD, of New York University School of Global Public Health, New York City, and Walter C. Willett, MD, DrPH, of Harvard T.H. Chan School of Public Health, Boston, argued that “BMI, although not a perfect measure of adiposity, remains a useful population-level and clinical tool for addressing adiposity, including within groups defined by race and ethnicity.”

They added that despite the criticism that BMI doesn’t distinguish between fat and lean body mass, the measure still strongly correlates with fat mass as well as cardiovascular risk and mortality, and it does so similarly across racial and ethnic groups.

Clinically, Dr. Cuevas and Dr. Willett pointed out that BMI correlates fat mass as assessed with the gold standard measure dual x-ray absorptiometry but is far simpler and less expensive. Measuring waist circumference can provide additional information about visceral fat and disease risk but is “more difficult to standardize and suffers from the same limitations as BMI when cut points are used.”

They suggest the addition of change in weight since early adulthood and over time as a “simple and sensitive variable” for assessing adiposity.

Luca Busetto, MD, associate professor of medicine at the University of Padua, Italy, and the first author of the EASO framework, said, “The paper from Cuevas and Willett sounds like a strong defense of BMI, and I can substantially agree with this defense ... We remain anchored on BMI, but we tried to move beyond it adding an estimate of high risk abdominal fat — waist to height ratio — and coupling the anthropometric assessment with a complete clinical evaluation and staging.”

Dr. Goossens said, “I agree with the authors that despite the limitations of BMI as a measure of body fatness, it remains a useful clinical screening tool. Yet the diagnosis of obesity should not be based solely on BMI” due to the stronger association of abdominal fat with cardiometabolic complications.

That link, he noted, “also applies to individuals with a BMI level below the current cutoff values for obesity, who may already have medical, functional, or psychological impairments. We should be aware of the risk of undertreatment in this particular group of patients.”
 

Does Calling Obesity a ‘Disease’ Have Unintended Consequences?

In her editorial, Christina C. Wee, MD, senior deputy editor, Annals of Internal Medicine, wrote, “Beyond diagnostic challenges, framing obesity exclusively as a disease rather than a broader, more inclusive construct may have unintended consequences — including reinforcing the weight bias this framing was in part intended to combat.”

Focusing solely on biological causes of obesity while ignoring psychosocial, cultural, environmental, and behavioral contexts could undermine public health and policy efforts to address those factors, Dr. Wee argued.

Moreover, she wrote, “Ironically, framing obesity as a disease to justify coverage for treatment reinforces weight bias. It conflates the need to label a condition a disease with healthcare reimbursement and raises the stakes for developing accurate diagnostic criteria ... By exclusively linking obesity as a disease to reimbursement, it sends the message that only those who manifest disease from excess adiposity warrant treatment — and, by inference, those on the continuum who have not yet manifested disease do not warrant treatment.”

Likening obesity to other risk factors such as hypertension or dyslipidemia for which treatment is typically reimbursed, Dr. Wee pointed out that Medicare still prohibits coverage of medications for obesity.

Regarding the high costs of newer obesity medications and the need for payers and clinicians to ration their use, Dr. Wee argued, “Rather than focusing on whether one’s adiposity conforms to an expert panel’s definition of ‘disease,’ we should address how to best stage obesity risk with sufficient accuracy and fairness and reach a consensus on how to prioritize and match treatments to individual patients.”

Dr. Busetto said that EASO stands by its definition of obesity as a disease, adding “we can adhere to the suggestion of a holistic approach deciding treatment modalities according to the risk and the presence of mental, functional, and medical complications of impairments. Of course, we cannot agree on any proposal that is oriented at leaving patients with obesity still in the asymptomatic phase of the disease without treatment. This would be like treating diabetes only after the occurrence of nephropathy or managing hypertension only after a stroke. Prevention of the symptomatic stage is a part of obesity management, even beyond weight loss.”

Dr. Goossens said, “indeed, it is of utmost importance to develop accurate risk stratification tools for adequately clinical staging of obesity, according to the severity of its medical, psychological and functional impairments.”
 

Do the Current Lower BMI Cutoffs for Defining Obesity in Asian People Make Sense?

Simar S. Bajaj, AB, of Harvard University, Cambridge, Massachusetts, and colleagues, all of Harvard Medical School, Boston, raised several concerns regarding the 2004 World Health Organization’s suggestion to use lower BMI categories for defining overweight and obesity in Asian populations, that is, 23-27.5 kg/m² and 27.5 kg/m² or higher for obesity, respectively, as opposed to 25-29.9 and ≥ 30, respectively, for other populations.

Different Asian countries have created their own obesity BMI cutoffs, ranging from 25 kg/m² in India to 28 kg/m² in China. But “Asian Americans continue to be treated as a monolith without official disaggregated cutoffs,” Mr. Bajaj and colleagues noted.

The heterogeneity translates to different risk levels across Asian subgroups. For example, in one study, age- and sex-adjusted BMI cutoffs for increased risk of developing type 2 diabetes were 23.9 kg/m² in South Asian populations, 26.6 kg/m² in Arab populations, 26.9 kg/m² in Chinese populations, and 28.1 kg/m² in Black populations.

These findings raise important questions, the researchers said. “Does it make sense for people of Chinese descent to use the same BMI threshold as the South Asian group when their ‘equivalent risk cutoff’ is closer to that of Arab and Black groups who share the standard BMI threshold?” Most data in this area are cross-sectional rather than the longitudinal data needed to answer those questions, they noted.

They suggest that professional diabetes and obesity organizations consider BMI thresholds to be “placeholders” until more sensitive and specific thresholds can be defined for Asian American populations.

Mr. Bajaj and colleagues also noted the need for disaggregated data is not unique to Asian groups but that they focused on Asian Americans for two main reasons. “First, success would create a precedent for complete disaggregation and help ensure that other groups do not stall at an intermediary level. Second, substantial research into Asian ethnic groups — and the WHO’s precedent 20 years ago — creates a solid foundation to build upon.”

Ultimately, they said, “advancing equity will require funding research that engages diverse Asian communities and developing tailored interventions for all ethnicities.”

Dr. Cuevas, Dr. Willett, Mr. Bajaj, and Dr. Wee had no disclosures. Dr. Goossens received research funding from the European Foundation for the Study of Diabetes, the Dutch Diabetes Research Foundation, and the Dutch Research Council. Dr. Busetto received personal funding from Novo Nordisk, Boehringer Ingelheim, Eli Lilly, Pfizer, and Bruno Farmaceutici as a member of advisory boards and from Rhythm Pharmaceuticals and Pronokal as a speaker.
 

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