Obesity

More than 1 in 10 Americans have diabetes and over a third have prediabetes, according to updated statistics from the Centers for Disease Control and Prevention.

The National Diabetes Statistics Report includes data for 2017-2020 from several nationally representative sources on prevalence and incidence of diabetes and prediabetes, risk factors for complications, acute and long-term complications, and costs.

According to the new report, published on Jan. 25, a total of 37.3 million people in the United States have diabetes, or about 11.3% of the population. Of those, 28.7 million are diagnosed (including 28.5 million adults), while 8.5 million, or 23% of those with diabetes, are undiagnosed.

Another 96 million adults have prediabetes, comprising 38.0% of the adult U.S. population, of whom only 19% are aware of their prediabetes status.

In a statement, the American Diabetes Association said the new CDC data “show an alarming increase of diabetes in our nation among adults,” while the high number with prediabetes who don’t know that they have it “is fueling the diabetes epidemic.”

Regarding the total estimated 1.84 million with type 1 diabetes, the advocacy organization JDRF said in a statement: “These data and additional statistical research reinforces the urgency to accelerate life-changing breakthroughs to cure, prevent, and treat [type 1 diabetes] and its complications.”

Overall, the ADA said, “the National Diabetes Statistics Report reaffirms why the ADA is dedicated to innovative research to find a cure for diabetes once and for all.”
 

Notable increases since 2019

These new data represent notable increases since the CDC’s 2019 Report Card, which gave the U.S. population with diabetes in 2018 as 34.2 million, or 10.5% of the population, including 7.3 million undiagnosed. The prediabetes prevalence that year was 88 million.

Among children and adolescents younger than 20 years, 283,000, or 35 per 10,000 U.S. youths, had diagnosed diabetes in 2019. Of those, 244,000 had type 1 diabetes. Another 1.6 million adults aged 20 and older also reported having type 1 diabetes, comprising 5.7% of U.S. adults with diagnosed diabetes.

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

More than 1 in 10 Americans have diabetes and over a third have prediabetes, according to updated statistics from the Centers for Disease Control and Prevention.

The National Diabetes Statistics Report includes data for 2017-2020 from several nationally representative sources on prevalence and incidence of diabetes and prediabetes, risk factors for complications, acute and long-term complications, and costs.

According to the new report, published on Jan. 25, a total of 37.3 million people in the United States have diabetes, or about 11.3% of the population. Of those, 28.7 million are diagnosed (including 28.5 million adults), while 8.5 million, or 23% of those with diabetes, are undiagnosed.

Another 96 million adults have prediabetes, comprising 38.0% of the adult U.S. population, of whom only 19% are aware of their prediabetes status.

In a statement, the American Diabetes Association said the new CDC data “show an alarming increase of diabetes in our nation among adults,” while the high number with prediabetes who don’t know that they have it “is fueling the diabetes epidemic.”

Regarding the total estimated 1.84 million with type 1 diabetes, the advocacy organization JDRF said in a statement: “These data and additional statistical research reinforces the urgency to accelerate life-changing breakthroughs to cure, prevent, and treat [type 1 diabetes] and its complications.”

Overall, the ADA said, “the National Diabetes Statistics Report reaffirms why the ADA is dedicated to innovative research to find a cure for diabetes once and for all.”
 

Notable increases since 2019

These new data represent notable increases since the CDC’s 2019 Report Card, which gave the U.S. population with diabetes in 2018 as 34.2 million, or 10.5% of the population, including 7.3 million undiagnosed. The prediabetes prevalence that year was 88 million.

Among children and adolescents younger than 20 years, 283,000, or 35 per 10,000 U.S. youths, had diagnosed diabetes in 2019. Of those, 244,000 had type 1 diabetes. Another 1.6 million adults aged 20 and older also reported having type 1 diabetes, comprising 5.7% of U.S. adults with diagnosed diabetes.

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

More than 1 in 10 Americans have diabetes and over a third have prediabetes, according to updated statistics from the Centers for Disease Control and Prevention.

The National Diabetes Statistics Report includes data for 2017-2020 from several nationally representative sources on prevalence and incidence of diabetes and prediabetes, risk factors for complications, acute and long-term complications, and costs.

According to the new report, published on Jan. 25, a total of 37.3 million people in the United States have diabetes, or about 11.3% of the population. Of those, 28.7 million are diagnosed (including 28.5 million adults), while 8.5 million, or 23% of those with diabetes, are undiagnosed.

Another 96 million adults have prediabetes, comprising 38.0% of the adult U.S. population, of whom only 19% are aware of their prediabetes status.

In a statement, the American Diabetes Association said the new CDC data “show an alarming increase of diabetes in our nation among adults,” while the high number with prediabetes who don’t know that they have it “is fueling the diabetes epidemic.”

Regarding the total estimated 1.84 million with type 1 diabetes, the advocacy organization JDRF said in a statement: “These data and additional statistical research reinforces the urgency to accelerate life-changing breakthroughs to cure, prevent, and treat [type 1 diabetes] and its complications.”

Overall, the ADA said, “the National Diabetes Statistics Report reaffirms why the ADA is dedicated to innovative research to find a cure for diabetes once and for all.”
 

Notable increases since 2019

These new data represent notable increases since the CDC’s 2019 Report Card, which gave the U.S. population with diabetes in 2018 as 34.2 million, or 10.5% of the population, including 7.3 million undiagnosed. The prediabetes prevalence that year was 88 million.

Among children and adolescents younger than 20 years, 283,000, or 35 per 10,000 U.S. youths, had diagnosed diabetes in 2019. Of those, 244,000 had type 1 diabetes. Another 1.6 million adults aged 20 and older also reported having type 1 diabetes, comprising 5.7% of U.S. adults with diagnosed diabetes.

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

More steps per day, particularly at a higher intensity, may reduce the risk of type 2 diabetes in older women, based on a prospective cohort study.

The link between daily stepping and diabetes was not significantly modified by body mass index (BMI) or other common diabetes risk factors, suggesting that the relationship is highly generalizable, lead author Alexis C. Garduno, MPH, a PhD student at the University of California, San Diego, and colleagues reported.

“Physical activity is a key modifiable behavior for diabetes prevention and management,” the investigators wrote in Diabetes Care. “Many prevention studies have demonstrated that regular physical activity, along with improved diet, reduces the risk of diabetes in adults. ... To the best of our knowledge, there are few studies examining the association between objectively measured steps per day and incident diabetes in a community-based setting.”

To this end, the investigators analyzed data from 4,838 older, community-living women in the Objective Physical Activity and Cardiovascular Health Study. Upon enrollment, women were without physician-diagnosed diabetes and had a mean age of 78.9 years. For 1 week, participants wore ActiGraph GT3X+ accelerometers to measure steps per day, as well as step intensity, graded as light or moderate to vigorous.

The relationship between daily activity and diabetes was analyzed using three multivariate models: The first included race/ethnicity and age; the second also included family history of diabetes, education, physical functioning, self-rated health, smoking status, and alcohol consumption; and the third added BMI, “a potential mediator in the causal pathway between steps per day and diabetes,” the investigators wrote.

Participants took an average of 3,729 steps per day, divided roughly evenly between light and moderate to vigorous intensity.

After a median follow-up of 5.7 years, 8.1% of women developed diabetes. The least-adjusted model showed a 14% reduction in diabetes risk per 2,000 steps (hazard ratio, 0.86; 95% confidence interval, 0.80-0.92; P = .007), whereas the second model, adjusting for more confounding variables, showed a 12% reduction in diabetes risk per 2,000 steps (HR, 0.88; 95% CI, 0.78-1.00; P = .045).

The final model, which added BMI, showed a 10% reduction in risk, although it didn’t reach statistical significance (HR, 0.90; 95% CI, 0.80-1.02; P = .11). Furthermore, accelerated failure time models suggested that BMI did not significantly impact the link between steps and diabetes (proportion mediated, 17.7%;95% CI, –55.0 to 142.0; P = .09). Further analyses also found no significant interactions between BMI or other possible confounders.

“The steps per day–diabetes association was not modified by age, race/ethnicity, BMI, physical functioning, or family history of diabetes, which supports the generalizability of these findings to community-living older women,” the investigators wrote.

Increased stepping intensity also appeared to lower risk of diabetes. After adjusting for confounding variables, light stepping was not linked to reduced risk (HR, 0.97; 95% CI, 0.73-1.29; P = .83), whereas moderate to vigorous stepping reduced risk by 14% per 2,000 steps (HR, 0.86; 95% CI, 0.74-1.00; P = .04).

“This study provides evidence supporting an association between steps per day and lower incident diabetes,” the investigators concluded. “While further work is needed to identify whether there is a minimum number of steps per day that results in a clinically significant reduction of diabetes and to evaluate the role that step intensity plays in diabetes etiology for older adults, findings from this study suggest that moderate-vigorous–intensity steps may be more important than lower-intensity steps with respect to incident diabetes. Steps per day–based interventions are needed to advance diabetes prevention science in older adults.”

The study was supported by the National Institute on Aging, the National Institute of Diabetes and Digestive and Kidney Diseases, the Tobacco-Related Disease Research Program, and others. The investigators had no potential conflicts of interest.

More steps per day, particularly at a higher intensity, may reduce the risk of type 2 diabetes in older women, based on a prospective cohort study.

The link between daily stepping and diabetes was not significantly modified by body mass index (BMI) or other common diabetes risk factors, suggesting that the relationship is highly generalizable, lead author Alexis C. Garduno, MPH, a PhD student at the University of California, San Diego, and colleagues reported.

“Physical activity is a key modifiable behavior for diabetes prevention and management,” the investigators wrote in Diabetes Care. “Many prevention studies have demonstrated that regular physical activity, along with improved diet, reduces the risk of diabetes in adults. ... To the best of our knowledge, there are few studies examining the association between objectively measured steps per day and incident diabetes in a community-based setting.”

To this end, the investigators analyzed data from 4,838 older, community-living women in the Objective Physical Activity and Cardiovascular Health Study. Upon enrollment, women were without physician-diagnosed diabetes and had a mean age of 78.9 years. For 1 week, participants wore ActiGraph GT3X+ accelerometers to measure steps per day, as well as step intensity, graded as light or moderate to vigorous.

The relationship between daily activity and diabetes was analyzed using three multivariate models: The first included race/ethnicity and age; the second also included family history of diabetes, education, physical functioning, self-rated health, smoking status, and alcohol consumption; and the third added BMI, “a potential mediator in the causal pathway between steps per day and diabetes,” the investigators wrote.

Participants took an average of 3,729 steps per day, divided roughly evenly between light and moderate to vigorous intensity.

After a median follow-up of 5.7 years, 8.1% of women developed diabetes. The least-adjusted model showed a 14% reduction in diabetes risk per 2,000 steps (hazard ratio, 0.86; 95% confidence interval, 0.80-0.92; P = .007), whereas the second model, adjusting for more confounding variables, showed a 12% reduction in diabetes risk per 2,000 steps (HR, 0.88; 95% CI, 0.78-1.00; P = .045).

The final model, which added BMI, showed a 10% reduction in risk, although it didn’t reach statistical significance (HR, 0.90; 95% CI, 0.80-1.02; P = .11). Furthermore, accelerated failure time models suggested that BMI did not significantly impact the link between steps and diabetes (proportion mediated, 17.7%;95% CI, –55.0 to 142.0; P = .09). Further analyses also found no significant interactions between BMI or other possible confounders.

“The steps per day–diabetes association was not modified by age, race/ethnicity, BMI, physical functioning, or family history of diabetes, which supports the generalizability of these findings to community-living older women,” the investigators wrote.

Increased stepping intensity also appeared to lower risk of diabetes. After adjusting for confounding variables, light stepping was not linked to reduced risk (HR, 0.97; 95% CI, 0.73-1.29; P = .83), whereas moderate to vigorous stepping reduced risk by 14% per 2,000 steps (HR, 0.86; 95% CI, 0.74-1.00; P = .04).

“This study provides evidence supporting an association between steps per day and lower incident diabetes,” the investigators concluded. “While further work is needed to identify whether there is a minimum number of steps per day that results in a clinically significant reduction of diabetes and to evaluate the role that step intensity plays in diabetes etiology for older adults, findings from this study suggest that moderate-vigorous–intensity steps may be more important than lower-intensity steps with respect to incident diabetes. Steps per day–based interventions are needed to advance diabetes prevention science in older adults.”

The study was supported by the National Institute on Aging, the National Institute of Diabetes and Digestive and Kidney Diseases, the Tobacco-Related Disease Research Program, and others. The investigators had no potential conflicts of interest.

More steps per day, particularly at a higher intensity, may reduce the risk of type 2 diabetes in older women, based on a prospective cohort study.

The link between daily stepping and diabetes was not significantly modified by body mass index (BMI) or other common diabetes risk factors, suggesting that the relationship is highly generalizable, lead author Alexis C. Garduno, MPH, a PhD student at the University of California, San Diego, and colleagues reported.

“Physical activity is a key modifiable behavior for diabetes prevention and management,” the investigators wrote in Diabetes Care. “Many prevention studies have demonstrated that regular physical activity, along with improved diet, reduces the risk of diabetes in adults. ... To the best of our knowledge, there are few studies examining the association between objectively measured steps per day and incident diabetes in a community-based setting.”

To this end, the investigators analyzed data from 4,838 older, community-living women in the Objective Physical Activity and Cardiovascular Health Study. Upon enrollment, women were without physician-diagnosed diabetes and had a mean age of 78.9 years. For 1 week, participants wore ActiGraph GT3X+ accelerometers to measure steps per day, as well as step intensity, graded as light or moderate to vigorous.

The relationship between daily activity and diabetes was analyzed using three multivariate models: The first included race/ethnicity and age; the second also included family history of diabetes, education, physical functioning, self-rated health, smoking status, and alcohol consumption; and the third added BMI, “a potential mediator in the causal pathway between steps per day and diabetes,” the investigators wrote.

Participants took an average of 3,729 steps per day, divided roughly evenly between light and moderate to vigorous intensity.

After a median follow-up of 5.7 years, 8.1% of women developed diabetes. The least-adjusted model showed a 14% reduction in diabetes risk per 2,000 steps (hazard ratio, 0.86; 95% confidence interval, 0.80-0.92; P = .007), whereas the second model, adjusting for more confounding variables, showed a 12% reduction in diabetes risk per 2,000 steps (HR, 0.88; 95% CI, 0.78-1.00; P = .045).

The final model, which added BMI, showed a 10% reduction in risk, although it didn’t reach statistical significance (HR, 0.90; 95% CI, 0.80-1.02; P = .11). Furthermore, accelerated failure time models suggested that BMI did not significantly impact the link between steps and diabetes (proportion mediated, 17.7%;95% CI, –55.0 to 142.0; P = .09). Further analyses also found no significant interactions between BMI or other possible confounders.

“The steps per day–diabetes association was not modified by age, race/ethnicity, BMI, physical functioning, or family history of diabetes, which supports the generalizability of these findings to community-living older women,” the investigators wrote.

Increased stepping intensity also appeared to lower risk of diabetes. After adjusting for confounding variables, light stepping was not linked to reduced risk (HR, 0.97; 95% CI, 0.73-1.29; P = .83), whereas moderate to vigorous stepping reduced risk by 14% per 2,000 steps (HR, 0.86; 95% CI, 0.74-1.00; P = .04).

“This study provides evidence supporting an association between steps per day and lower incident diabetes,” the investigators concluded. “While further work is needed to identify whether there is a minimum number of steps per day that results in a clinically significant reduction of diabetes and to evaluate the role that step intensity plays in diabetes etiology for older adults, findings from this study suggest that moderate-vigorous–intensity steps may be more important than lower-intensity steps with respect to incident diabetes. Steps per day–based interventions are needed to advance diabetes prevention science in older adults.”

The study was supported by the National Institute on Aging, the National Institute of Diabetes and Digestive and Kidney Diseases, the Tobacco-Related Disease Research Program, and others. The investigators had no potential conflicts of interest.

Over the period of 1 year, secukinumab 300 mg every 2 weeks demonstrated superior efficacy compared with secukinumab 300 mg every 4 weeks in overweight patients with moderate to severe plaque psoriasis, results from a multicenter, double-blind, parallel-group trial showed.

The more frequent dosing was also associated with comparable safety, consistent with the established secukinumab safety profile.

“Weight may have an impact on pharmacokinetics and, therefore, on the clinical outcome of biologic treatment for psoriasis,” Matthias Augustin, MD, and colleagues wrote in the study, published recently in the British Journal of Dermatology. “Dose optimization may be highly beneficial for patients with higher body weight,” they noted, adding that their study supports previous study findings and pharmacokinetic/pharmacodynamic modelling data, showing that secukinumab dosed every 2 weeks “leads to a clinically and statistically significant advantage in PASI 90 response,” compared with standard dosing every 4 weeks in patients who weight 90 kg (about 198 pounds) or more, after 16 weeks of treatment, which was maintained until week 52.

For the study, Dr. Augustin, of the Institute for Health Services Research in Dermatology and Nursing at University Medical Center Hamburg-Eppendorf (Germany), and colleagues randomized 331 patients with moderate to severe chronic plaque psoriasis who weighed 90 kg or more to receive secukinumab 300 mg every 2 weeks, or secukinumab 300 mg every 4 weeks. The mean age of the patients was 47 years, 75% were male, 92% were White, and their mean body weight was 111.1 kg, with a mean body mass index of 36.1 kg/m².

Patients who did not achieve a Psoriasis Area and Severity Index (PASI) 90 at week 16 on the monthly regimen (Q4W) either remained on that regimen or were up-titrated to dosing every 2 weeks (Q2W). Of the 331 patients, 165 received Q2W dosing and 166 received Q4W dosing. The researchers found that, at 16 weeks, patients in the Q2W dosing group had significantly higher PASI 90 responses, compared with those in the Q4W group (73.2% vs. 55.5%, respectively; P = .0003; odds ratio estimate, 2.3).

At 52 weeks, a greater proportion of patients in the Q2W group maintained responses to several outcome measures, compared with those in the Q4W group, including PASI 75 (88.9% vs. 74.8%), PASI 90 (76.4% vs. 52.4%), and PASI 100 (46.7% vs. 27.3%) scores; Investigator’s Global Assessment score of 0 or 1 (75.9% vs. 55.6%); and Dermatology Life Quality Index scores of 0 or 1 (66.1% vs. 48.8%).

In addition, those who had not had a PASI 90 response at week 16 who were up-titrated to Q2W dosing demonstrated higher efficacy responses at week 32, compared with those who remained on the Q4W regimen, with PASI 90 scores of 37.7% versus 16.5%, respectively.

Both regimens were well-tolerated, consistent with the known secukinumab safety profile; safety was comparable in the treatment arms, and there was “no clear dose-response relationship seen” for the incidence of overall adverse events, serious AEs, and AEs leading to discontinuation of the study treatment, “or AEs related to the identified risks” of infections, hypersensitivity, neutropenia and potential risk of major adverse cardiovascular events, the authors wrote.

“Despite more frequent dosing, the incidence of Candida infections was numerically lower in the Q2W group versus the Q4W group,” although there were not many cases, three patients versus six patients, respectively.

 

Need for individualized treatment

“Despite a decades-long revolution in development of highly efficacious biologic treatments for psoriasis, we are only in the early stages of developing personalized clinical approaches,” said Raj Chovatiya, MD, PhD, a dermatologist at Northwestern University, Chicago, who was asked to comment on the study. “The need for individualized treatment in psoriasis is very real; not every patient may respond to therapy in the same way. Obesity is one important comorbidity of psoriasis, and increased body mass index may be associated with variable treatment outcomes with systemic therapy.”

The data from this study, he added, “suggest that dose optimization may be an important strategy to enhance psoriasis clearance in patients with suboptimal treatment outcomes on standard dosing, including those with increased weight. Future studies should examine optimal regimen of biologic therapy across a variety of patient factors.”

The study was funded by Novartis, the manufacturer of secukinumab (Cosentyx); several authors were company employees. Dr. Augustin disclosed that he has served as a consultant for or has been a paid speaker for clinical trials sponsored by companies that manufacture drugs used for the treatment of psoriasis, including AbbVie, Almirall, Amgen, Biogen, Boehringer Ingelheim, Celgene, Centocor, Eli Lilly, GlaxoSmithKline, Janssen-Cilag, LEO Pharma, Medac, Merck, MSD, Novartis, Pfizer, UCB, and Xenoport. Dr. Chovatiya disclosed that he is a consultant to, a speaker for, and/or a member of the advisory board for AbbVie, Arcutis, Arena, Incyte, Pfizer, Regeneron, and Sanofi Genzyme.

Over the period of 1 year, secukinumab 300 mg every 2 weeks demonstrated superior efficacy compared with secukinumab 300 mg every 4 weeks in overweight patients with moderate to severe plaque psoriasis, results from a multicenter, double-blind, parallel-group trial showed.

The more frequent dosing was also associated with comparable safety, consistent with the established secukinumab safety profile.

“Weight may have an impact on pharmacokinetics and, therefore, on the clinical outcome of biologic treatment for psoriasis,” Matthias Augustin, MD, and colleagues wrote in the study, published recently in the British Journal of Dermatology. “Dose optimization may be highly beneficial for patients with higher body weight,” they noted, adding that their study supports previous study findings and pharmacokinetic/pharmacodynamic modelling data, showing that secukinumab dosed every 2 weeks “leads to a clinically and statistically significant advantage in PASI 90 response,” compared with standard dosing every 4 weeks in patients who weight 90 kg (about 198 pounds) or more, after 16 weeks of treatment, which was maintained until week 52.

For the study, Dr. Augustin, of the Institute for Health Services Research in Dermatology and Nursing at University Medical Center Hamburg-Eppendorf (Germany), and colleagues randomized 331 patients with moderate to severe chronic plaque psoriasis who weighed 90 kg or more to receive secukinumab 300 mg every 2 weeks, or secukinumab 300 mg every 4 weeks. The mean age of the patients was 47 years, 75% were male, 92% were White, and their mean body weight was 111.1 kg, with a mean body mass index of 36.1 kg/m².

Patients who did not achieve a Psoriasis Area and Severity Index (PASI) 90 at week 16 on the monthly regimen (Q4W) either remained on that regimen or were up-titrated to dosing every 2 weeks (Q2W). Of the 331 patients, 165 received Q2W dosing and 166 received Q4W dosing. The researchers found that, at 16 weeks, patients in the Q2W dosing group had significantly higher PASI 90 responses, compared with those in the Q4W group (73.2% vs. 55.5%, respectively; P = .0003; odds ratio estimate, 2.3).

At 52 weeks, a greater proportion of patients in the Q2W group maintained responses to several outcome measures, compared with those in the Q4W group, including PASI 75 (88.9% vs. 74.8%), PASI 90 (76.4% vs. 52.4%), and PASI 100 (46.7% vs. 27.3%) scores; Investigator’s Global Assessment score of 0 or 1 (75.9% vs. 55.6%); and Dermatology Life Quality Index scores of 0 or 1 (66.1% vs. 48.8%).

In addition, those who had not had a PASI 90 response at week 16 who were up-titrated to Q2W dosing demonstrated higher efficacy responses at week 32, compared with those who remained on the Q4W regimen, with PASI 90 scores of 37.7% versus 16.5%, respectively.

Both regimens were well-tolerated, consistent with the known secukinumab safety profile; safety was comparable in the treatment arms, and there was “no clear dose-response relationship seen” for the incidence of overall adverse events, serious AEs, and AEs leading to discontinuation of the study treatment, “or AEs related to the identified risks” of infections, hypersensitivity, neutropenia and potential risk of major adverse cardiovascular events, the authors wrote.

“Despite more frequent dosing, the incidence of Candida infections was numerically lower in the Q2W group versus the Q4W group,” although there were not many cases, three patients versus six patients, respectively.

 

Need for individualized treatment

“Despite a decades-long revolution in development of highly efficacious biologic treatments for psoriasis, we are only in the early stages of developing personalized clinical approaches,” said Raj Chovatiya, MD, PhD, a dermatologist at Northwestern University, Chicago, who was asked to comment on the study. “The need for individualized treatment in psoriasis is very real; not every patient may respond to therapy in the same way. Obesity is one important comorbidity of psoriasis, and increased body mass index may be associated with variable treatment outcomes with systemic therapy.”

The data from this study, he added, “suggest that dose optimization may be an important strategy to enhance psoriasis clearance in patients with suboptimal treatment outcomes on standard dosing, including those with increased weight. Future studies should examine optimal regimen of biologic therapy across a variety of patient factors.”

The study was funded by Novartis, the manufacturer of secukinumab (Cosentyx); several authors were company employees. Dr. Augustin disclosed that he has served as a consultant for or has been a paid speaker for clinical trials sponsored by companies that manufacture drugs used for the treatment of psoriasis, including AbbVie, Almirall, Amgen, Biogen, Boehringer Ingelheim, Celgene, Centocor, Eli Lilly, GlaxoSmithKline, Janssen-Cilag, LEO Pharma, Medac, Merck, MSD, Novartis, Pfizer, UCB, and Xenoport. Dr. Chovatiya disclosed that he is a consultant to, a speaker for, and/or a member of the advisory board for AbbVie, Arcutis, Arena, Incyte, Pfizer, Regeneron, and Sanofi Genzyme.

Over the period of 1 year, secukinumab 300 mg every 2 weeks demonstrated superior efficacy compared with secukinumab 300 mg every 4 weeks in overweight patients with moderate to severe plaque psoriasis, results from a multicenter, double-blind, parallel-group trial showed.

The more frequent dosing was also associated with comparable safety, consistent with the established secukinumab safety profile.

“Weight may have an impact on pharmacokinetics and, therefore, on the clinical outcome of biologic treatment for psoriasis,” Matthias Augustin, MD, and colleagues wrote in the study, published recently in the British Journal of Dermatology. “Dose optimization may be highly beneficial for patients with higher body weight,” they noted, adding that their study supports previous study findings and pharmacokinetic/pharmacodynamic modelling data, showing that secukinumab dosed every 2 weeks “leads to a clinically and statistically significant advantage in PASI 90 response,” compared with standard dosing every 4 weeks in patients who weight 90 kg (about 198 pounds) or more, after 16 weeks of treatment, which was maintained until week 52.

For the study, Dr. Augustin, of the Institute for Health Services Research in Dermatology and Nursing at University Medical Center Hamburg-Eppendorf (Germany), and colleagues randomized 331 patients with moderate to severe chronic plaque psoriasis who weighed 90 kg or more to receive secukinumab 300 mg every 2 weeks, or secukinumab 300 mg every 4 weeks. The mean age of the patients was 47 years, 75% were male, 92% were White, and their mean body weight was 111.1 kg, with a mean body mass index of 36.1 kg/m².

Patients who did not achieve a Psoriasis Area and Severity Index (PASI) 90 at week 16 on the monthly regimen (Q4W) either remained on that regimen or were up-titrated to dosing every 2 weeks (Q2W). Of the 331 patients, 165 received Q2W dosing and 166 received Q4W dosing. The researchers found that, at 16 weeks, patients in the Q2W dosing group had significantly higher PASI 90 responses, compared with those in the Q4W group (73.2% vs. 55.5%, respectively; P = .0003; odds ratio estimate, 2.3).

At 52 weeks, a greater proportion of patients in the Q2W group maintained responses to several outcome measures, compared with those in the Q4W group, including PASI 75 (88.9% vs. 74.8%), PASI 90 (76.4% vs. 52.4%), and PASI 100 (46.7% vs. 27.3%) scores; Investigator’s Global Assessment score of 0 or 1 (75.9% vs. 55.6%); and Dermatology Life Quality Index scores of 0 or 1 (66.1% vs. 48.8%).

In addition, those who had not had a PASI 90 response at week 16 who were up-titrated to Q2W dosing demonstrated higher efficacy responses at week 32, compared with those who remained on the Q4W regimen, with PASI 90 scores of 37.7% versus 16.5%, respectively.

Both regimens were well-tolerated, consistent with the known secukinumab safety profile; safety was comparable in the treatment arms, and there was “no clear dose-response relationship seen” for the incidence of overall adverse events, serious AEs, and AEs leading to discontinuation of the study treatment, “or AEs related to the identified risks” of infections, hypersensitivity, neutropenia and potential risk of major adverse cardiovascular events, the authors wrote.

“Despite more frequent dosing, the incidence of Candida infections was numerically lower in the Q2W group versus the Q4W group,” although there were not many cases, three patients versus six patients, respectively.

 

Need for individualized treatment

“Despite a decades-long revolution in development of highly efficacious biologic treatments for psoriasis, we are only in the early stages of developing personalized clinical approaches,” said Raj Chovatiya, MD, PhD, a dermatologist at Northwestern University, Chicago, who was asked to comment on the study. “The need for individualized treatment in psoriasis is very real; not every patient may respond to therapy in the same way. Obesity is one important comorbidity of psoriasis, and increased body mass index may be associated with variable treatment outcomes with systemic therapy.”

The data from this study, he added, “suggest that dose optimization may be an important strategy to enhance psoriasis clearance in patients with suboptimal treatment outcomes on standard dosing, including those with increased weight. Future studies should examine optimal regimen of biologic therapy across a variety of patient factors.”

The study was funded by Novartis, the manufacturer of secukinumab (Cosentyx); several authors were company employees. Dr. Augustin disclosed that he has served as a consultant for or has been a paid speaker for clinical trials sponsored by companies that manufacture drugs used for the treatment of psoriasis, including AbbVie, Almirall, Amgen, Biogen, Boehringer Ingelheim, Celgene, Centocor, Eli Lilly, GlaxoSmithKline, Janssen-Cilag, LEO Pharma, Medac, Merck, MSD, Novartis, Pfizer, UCB, and Xenoport. Dr. Chovatiya disclosed that he is a consultant to, a speaker for, and/or a member of the advisory board for AbbVie, Arcutis, Arena, Incyte, Pfizer, Regeneron, and Sanofi Genzyme.

Dietary guidelines provide scientifically sound and practical advice that, if followed by every person, would probably result in less obesity, type 2 diabetes, cardiovascular disease, cancer, and bone loss. But few US adults meet these recommendations, according to a recent report in the CDC’s Morbidity and Mortality Weekly Report (MMWR).¹

Data from the 2019 Behavioral Risk Factor Surveillance system indicate that only 12.3% of US adults consumed the recommended amount of fruit and 10% the recommended amount of vegetables (more on that shortly). Women were more likely than men to meet the requirements for fruit (14.5% vs 10.1%) and vegetable (12.4% vs 7.6%) intake. The vegetable recommendation was more likely to be met by those in higher income households than those in the lowest income categories (12.2% vs 6.8%).¹

Just what’s recommended? The most recent dietary guidelines from the Department of Agriculture suggest that adults should consume 1.5 to 2 cup-equivalents of fruits and 2 to 3 cup-equivalents of vegetables each day.² What is a cup-equivalent? Examples include: 1 cup of a raw, or cooked, vegetable or fruit; 1 cup of fruit juice; 2 cups of leafy salad greens; or 1/2 cup of a dried fruit or vegetable. Additional recommendations are that added sugar constitute < 10% of calories per day, saturated fat < 10% of calories per day, and sodium < 2300 mg per day.

Simplify the message to this … There’s an easy message for clinicians to provide to patients: Consume 2 cups of fruit and 2 to 3 cups of vegetables per day; increase intake of whole grains, seafood, nuts, and seeds; choose fat-free and low-fat dairy products; and avoid sugary beverages and foods. But as we know, recommending that patients do something and actually having them do it are often 2 different things. So how can we tip the scales in a healthier direction?

Advise patients not to go it alone. The US Preventive Services Task Force recommends intensive behavioral interventions to alter eating habits. These interventions include individual or group counseling sessions over extended periods (eg, 6 hours of contact time over 6 to 18 months), including some 1-on-1 time with a specially trained professional, such as a primary care physician, nurse, registered dietitian, or nutritionist. The good news is that, for those with cardiovascular risk factors (dyslipidemia, elevated blood pressure, type 2 diabetes, and hypertension), this is a level “B” recommendation—meaning these interventions should be covered by commercial health insurance with no out-of-pocket cost to patients.³

Dietary guidelines provide scientifically sound and practical advice that, if followed by every person, would probably result in less obesity, type 2 diabetes, cardiovascular disease, cancer, and bone loss. But few US adults meet these recommendations, according to a recent report in the CDC’s Morbidity and Mortality Weekly Report (MMWR).¹

Data from the 2019 Behavioral Risk Factor Surveillance system indicate that only 12.3% of US adults consumed the recommended amount of fruit and 10% the recommended amount of vegetables (more on that shortly). Women were more likely than men to meet the requirements for fruit (14.5% vs 10.1%) and vegetable (12.4% vs 7.6%) intake. The vegetable recommendation was more likely to be met by those in higher income households than those in the lowest income categories (12.2% vs 6.8%).¹

Just what’s recommended? The most recent dietary guidelines from the Department of Agriculture suggest that adults should consume 1.5 to 2 cup-equivalents of fruits and 2 to 3 cup-equivalents of vegetables each day.² What is a cup-equivalent? Examples include: 1 cup of a raw, or cooked, vegetable or fruit; 1 cup of fruit juice; 2 cups of leafy salad greens; or 1/2 cup of a dried fruit or vegetable. Additional recommendations are that added sugar constitute < 10% of calories per day, saturated fat < 10% of calories per day, and sodium < 2300 mg per day.

Simplify the message to this … There’s an easy message for clinicians to provide to patients: Consume 2 cups of fruit and 2 to 3 cups of vegetables per day; increase intake of whole grains, seafood, nuts, and seeds; choose fat-free and low-fat dairy products; and avoid sugary beverages and foods. But as we know, recommending that patients do something and actually having them do it are often 2 different things. So how can we tip the scales in a healthier direction?

Advise patients not to go it alone. The US Preventive Services Task Force recommends intensive behavioral interventions to alter eating habits. These interventions include individual or group counseling sessions over extended periods (eg, 6 hours of contact time over 6 to 18 months), including some 1-on-1 time with a specially trained professional, such as a primary care physician, nurse, registered dietitian, or nutritionist. The good news is that, for those with cardiovascular risk factors (dyslipidemia, elevated blood pressure, type 2 diabetes, and hypertension), this is a level “B” recommendation—meaning these interventions should be covered by commercial health insurance with no out-of-pocket cost to patients.³

Dietary guidelines provide scientifically sound and practical advice that, if followed by every person, would probably result in less obesity, type 2 diabetes, cardiovascular disease, cancer, and bone loss. But few US adults meet these recommendations, according to a recent report in the CDC’s Morbidity and Mortality Weekly Report (MMWR).¹

Data from the 2019 Behavioral Risk Factor Surveillance system indicate that only 12.3% of US adults consumed the recommended amount of fruit and 10% the recommended amount of vegetables (more on that shortly). Women were more likely than men to meet the requirements for fruit (14.5% vs 10.1%) and vegetable (12.4% vs 7.6%) intake. The vegetable recommendation was more likely to be met by those in higher income households than those in the lowest income categories (12.2% vs 6.8%).¹

Just what’s recommended? The most recent dietary guidelines from the Department of Agriculture suggest that adults should consume 1.5 to 2 cup-equivalents of fruits and 2 to 3 cup-equivalents of vegetables each day.² What is a cup-equivalent? Examples include: 1 cup of a raw, or cooked, vegetable or fruit; 1 cup of fruit juice; 2 cups of leafy salad greens; or 1/2 cup of a dried fruit or vegetable. Additional recommendations are that added sugar constitute < 10% of calories per day, saturated fat < 10% of calories per day, and sodium < 2300 mg per day.

Simplify the message to this … There’s an easy message for clinicians to provide to patients: Consume 2 cups of fruit and 2 to 3 cups of vegetables per day; increase intake of whole grains, seafood, nuts, and seeds; choose fat-free and low-fat dairy products; and avoid sugary beverages and foods. But as we know, recommending that patients do something and actually having them do it are often 2 different things. So how can we tip the scales in a healthier direction?

Advise patients not to go it alone. The US Preventive Services Task Force recommends intensive behavioral interventions to alter eating habits. These interventions include individual or group counseling sessions over extended periods (eg, 6 hours of contact time over 6 to 18 months), including some 1-on-1 time with a specially trained professional, such as a primary care physician, nurse, registered dietitian, or nutritionist. The good news is that, for those with cardiovascular risk factors (dyslipidemia, elevated blood pressure, type 2 diabetes, and hypertension), this is a level “B” recommendation—meaning these interventions should be covered by commercial health insurance with no out-of-pocket cost to patients.³

An intensive weight-loss intervention prior to conception had no effect on birth rates in women with obesity and unexplained infertility, compared with a standard weight-maintenance program, based on data from nearly 400 women.

Obese women experiencing infertility are often counseled to lose weight before attempting fertility treatments in order to improve outcomes based on epidemiologic evidence of an association between obesity and infertility, but data to support this advice are limited, wrote Richard S. Legro, MD, of Penn State University, Hershey, and colleagues.

The researchers proposed that a more intensive preconception weight loss intervention followed by infertility treatment would be more likely to yield a healthy live birth, compared with a standard weight maintenance intervention.

In an open-label study published in PLOS Medicine, the researchers randomized 379 women at nine academic centers to a standard lifestyle group that followed a weight-maintenance plan focused on physical activity, but not weight loss; or an intensive intervention of diet and medication with a target weight loss of 7%. Both interventions lasted for 16 weeks between July 2015 and July 2018. After the interventions, patients in both groups underwent standardized empiric fertility treatment with three cycles of ovarian stimulation and intrauterine insemination.

The primary outcome was a live birth at 37 weeks’ gestation or later, with no congenital abnormalities and a birth weight between 2,500 g and 4,000 g. Baseline characteristics including age, education level, race, and body mass index (BMI) were similar between the groups.

The incidence of healthy live births was not significantly different between the standard treatment and intensive treatment groups (15.2% vs. 12.2%; P = 0.40) by the final follow-up time of September 2019. However, women in the intensive group had significantly greater weight loss, compared with the standard group (–6.6% vs. –0.3%; P < .001). Women in the intensive group also showed improvements in metabolic health. Notably, the incidence of metabolic syndrome dropped from 53.6% to 49.4% in the standard group, compared with a decrease from 52.8% to 32.2% in the intensive group over the 16-week study period, the researchers wrote.

Gastrointestinal side effects were significantly more common in the intensive group, but these were consistent with documented side effects of the weight loss medication used (Orlistat).

First-trimester pregnancy loss was higher in the intensive group, compared with the standard group (33.3% vs. 23.7%), but the difference was not significant. Most pregnancy complications, including preterm labor, premature rupture of membranes, preeclampsia, and gestational diabetes had nonsignificant improvements in the intensive group, compared with the standard group. Similarly, nonsignificant improvements were noted in the intervention group for intrauterine growth restriction and admission to the neonatal ICU.

Limitations of the study included the relatively small number of pregnancies, which prevented assessment of rare complications in subgroups, and the challenge of matching control interventions, the researchers noted.

However, the results were strengthened by the focus on women with unexplained infertility, the inclusion of a comparison group, and the collection of data on complications after conception, they wrote.

Avenues for future research include interventions of different duration and intensity prior to conception, which may improve outcomes, the researchers said in their discussion of the findings. “A period of weight stabilization and maintenance after a weight-loss intervention prior to commencing infertility therapy is worth exploring,” they noted, but couples eager to conceive may be reluctant to wait for a weight-loss intervention, they added.

“Our findings directly impact current standards of clinical care, where women who are obese with unexplained infertility are to our knowledge routinely counseled to lose weight prior to initiation of infertility treatment,” they concluded.
 

Data may inform patient discussions

The current study is important because a large amount of previous research has shown an association between obesity and decreased fecundity in women and men, Mark P. Trolice, MD, of the University of Central Florida, Orlando, and director of the IVF Center in Winter Park, Fla., said in an interview.

According to the Centers for Disease Control and Prevention, the prevalence of obesity in the United States remains more than 40%, said Dr. Trolice. “Patients and physicians would benefit from clarity of obesity’s effect, if any, on reproduction,” he noted.

In contrast to the authors’ hypothesis, “the study did not find a difference in the live birth rate following up to three cycles of intrauterine insemination (IUI) between an intensive weight loss group [and] women who exercised without weight loss,” said Dr. Trolice. “Prior to this study, many reports suggested a decline in fertility with elevations in BMI, particularly during fertility treatment,” he added.

The take-home message from the current study is a that an elevated BMI, while possibly increasing the risks of metabolic disorders, did not appear to impact fecundity, he said.

The authors therefore concluded, “There is not strong evidence to recommend weight loss prior to conception in women who are obese with unexplained infertility,” Dr. Trolice said.

Regardless of the potential effect of preconception weight loss on fertility, barriers to starting a weight loss program include a woman’s eagerness to move forward with fertility treatments without waiting for weight loss, Dr. Trolice noted. “By the time a woman reaches an infertility specialist, she has been trying to conceive for at least 1 year,” he said. “At the initial consultation, these patients are anxious to undergo necessary additional diagnostic testing followed by treatment. Consequently, initiation of a weight-loss program is viewed as a delay toward the goal of family building,” he explained.

“More research is needed to demonstrate the safety of intensive weight loss preconception,” said Dr. Trolice. However, he said, “the issue of elevated BMI and increased risk of pregnancy complications remains, but this study provides important information for providers regarding counseling their patients desiring pregnancy.”

The study was supported by multiple grants from the National Institutes of Health through the Eunice Kennedy Shriver National Institute of Child Health and Human Development and the National Center for Advancing Translational Sciences. Nutrisystem provided discounted coupons for food allotments in the standardized treatment group, and FitBit provided the study organizers with discounted Fitbits for activity monitoring. Lead author Dr. Legro disclosed consulting fees from InSupp, Ferring, Bayer, Abbvie and Fractyl, and research sponsorship from Guerbet and the National Institutes of Health. Dr. Trolice had no financial conflicts to disclose and serves on the Editorial Advisory Board of Ob.Gyn News.

An intensive weight-loss intervention prior to conception had no effect on birth rates in women with obesity and unexplained infertility, compared with a standard weight-maintenance program, based on data from nearly 400 women.

Obese women experiencing infertility are often counseled to lose weight before attempting fertility treatments in order to improve outcomes based on epidemiologic evidence of an association between obesity and infertility, but data to support this advice are limited, wrote Richard S. Legro, MD, of Penn State University, Hershey, and colleagues.

The researchers proposed that a more intensive preconception weight loss intervention followed by infertility treatment would be more likely to yield a healthy live birth, compared with a standard weight maintenance intervention.

In an open-label study published in PLOS Medicine, the researchers randomized 379 women at nine academic centers to a standard lifestyle group that followed a weight-maintenance plan focused on physical activity, but not weight loss; or an intensive intervention of diet and medication with a target weight loss of 7%. Both interventions lasted for 16 weeks between July 2015 and July 2018. After the interventions, patients in both groups underwent standardized empiric fertility treatment with three cycles of ovarian stimulation and intrauterine insemination.

The primary outcome was a live birth at 37 weeks’ gestation or later, with no congenital abnormalities and a birth weight between 2,500 g and 4,000 g. Baseline characteristics including age, education level, race, and body mass index (BMI) were similar between the groups.

The incidence of healthy live births was not significantly different between the standard treatment and intensive treatment groups (15.2% vs. 12.2%; P = 0.40) by the final follow-up time of September 2019. However, women in the intensive group had significantly greater weight loss, compared with the standard group (–6.6% vs. –0.3%; P < .001). Women in the intensive group also showed improvements in metabolic health. Notably, the incidence of metabolic syndrome dropped from 53.6% to 49.4% in the standard group, compared with a decrease from 52.8% to 32.2% in the intensive group over the 16-week study period, the researchers wrote.

Gastrointestinal side effects were significantly more common in the intensive group, but these were consistent with documented side effects of the weight loss medication used (Orlistat).

First-trimester pregnancy loss was higher in the intensive group, compared with the standard group (33.3% vs. 23.7%), but the difference was not significant. Most pregnancy complications, including preterm labor, premature rupture of membranes, preeclampsia, and gestational diabetes had nonsignificant improvements in the intensive group, compared with the standard group. Similarly, nonsignificant improvements were noted in the intervention group for intrauterine growth restriction and admission to the neonatal ICU.

Limitations of the study included the relatively small number of pregnancies, which prevented assessment of rare complications in subgroups, and the challenge of matching control interventions, the researchers noted.

However, the results were strengthened by the focus on women with unexplained infertility, the inclusion of a comparison group, and the collection of data on complications after conception, they wrote.

Avenues for future research include interventions of different duration and intensity prior to conception, which may improve outcomes, the researchers said in their discussion of the findings. “A period of weight stabilization and maintenance after a weight-loss intervention prior to commencing infertility therapy is worth exploring,” they noted, but couples eager to conceive may be reluctant to wait for a weight-loss intervention, they added.

“Our findings directly impact current standards of clinical care, where women who are obese with unexplained infertility are to our knowledge routinely counseled to lose weight prior to initiation of infertility treatment,” they concluded.
 

Data may inform patient discussions

The current study is important because a large amount of previous research has shown an association between obesity and decreased fecundity in women and men, Mark P. Trolice, MD, of the University of Central Florida, Orlando, and director of the IVF Center in Winter Park, Fla., said in an interview.

According to the Centers for Disease Control and Prevention, the prevalence of obesity in the United States remains more than 40%, said Dr. Trolice. “Patients and physicians would benefit from clarity of obesity’s effect, if any, on reproduction,” he noted.

In contrast to the authors’ hypothesis, “the study did not find a difference in the live birth rate following up to three cycles of intrauterine insemination (IUI) between an intensive weight loss group [and] women who exercised without weight loss,” said Dr. Trolice. “Prior to this study, many reports suggested a decline in fertility with elevations in BMI, particularly during fertility treatment,” he added.

The take-home message from the current study is a that an elevated BMI, while possibly increasing the risks of metabolic disorders, did not appear to impact fecundity, he said.

The authors therefore concluded, “There is not strong evidence to recommend weight loss prior to conception in women who are obese with unexplained infertility,” Dr. Trolice said.

Regardless of the potential effect of preconception weight loss on fertility, barriers to starting a weight loss program include a woman’s eagerness to move forward with fertility treatments without waiting for weight loss, Dr. Trolice noted. “By the time a woman reaches an infertility specialist, she has been trying to conceive for at least 1 year,” he said. “At the initial consultation, these patients are anxious to undergo necessary additional diagnostic testing followed by treatment. Consequently, initiation of a weight-loss program is viewed as a delay toward the goal of family building,” he explained.

“More research is needed to demonstrate the safety of intensive weight loss preconception,” said Dr. Trolice. However, he said, “the issue of elevated BMI and increased risk of pregnancy complications remains, but this study provides important information for providers regarding counseling their patients desiring pregnancy.”

The study was supported by multiple grants from the National Institutes of Health through the Eunice Kennedy Shriver National Institute of Child Health and Human Development and the National Center for Advancing Translational Sciences. Nutrisystem provided discounted coupons for food allotments in the standardized treatment group, and FitBit provided the study organizers with discounted Fitbits for activity monitoring. Lead author Dr. Legro disclosed consulting fees from InSupp, Ferring, Bayer, Abbvie and Fractyl, and research sponsorship from Guerbet and the National Institutes of Health. Dr. Trolice had no financial conflicts to disclose and serves on the Editorial Advisory Board of Ob.Gyn News.

An intensive weight-loss intervention prior to conception had no effect on birth rates in women with obesity and unexplained infertility, compared with a standard weight-maintenance program, based on data from nearly 400 women.

Obese women experiencing infertility are often counseled to lose weight before attempting fertility treatments in order to improve outcomes based on epidemiologic evidence of an association between obesity and infertility, but data to support this advice are limited, wrote Richard S. Legro, MD, of Penn State University, Hershey, and colleagues.

The researchers proposed that a more intensive preconception weight loss intervention followed by infertility treatment would be more likely to yield a healthy live birth, compared with a standard weight maintenance intervention.

In an open-label study published in PLOS Medicine, the researchers randomized 379 women at nine academic centers to a standard lifestyle group that followed a weight-maintenance plan focused on physical activity, but not weight loss; or an intensive intervention of diet and medication with a target weight loss of 7%. Both interventions lasted for 16 weeks between July 2015 and July 2018. After the interventions, patients in both groups underwent standardized empiric fertility treatment with three cycles of ovarian stimulation and intrauterine insemination.

The primary outcome was a live birth at 37 weeks’ gestation or later, with no congenital abnormalities and a birth weight between 2,500 g and 4,000 g. Baseline characteristics including age, education level, race, and body mass index (BMI) were similar between the groups.

The incidence of healthy live births was not significantly different between the standard treatment and intensive treatment groups (15.2% vs. 12.2%; P = 0.40) by the final follow-up time of September 2019. However, women in the intensive group had significantly greater weight loss, compared with the standard group (–6.6% vs. –0.3%; P < .001). Women in the intensive group also showed improvements in metabolic health. Notably, the incidence of metabolic syndrome dropped from 53.6% to 49.4% in the standard group, compared with a decrease from 52.8% to 32.2% in the intensive group over the 16-week study period, the researchers wrote.

Gastrointestinal side effects were significantly more common in the intensive group, but these were consistent with documented side effects of the weight loss medication used (Orlistat).

First-trimester pregnancy loss was higher in the intensive group, compared with the standard group (33.3% vs. 23.7%), but the difference was not significant. Most pregnancy complications, including preterm labor, premature rupture of membranes, preeclampsia, and gestational diabetes had nonsignificant improvements in the intensive group, compared with the standard group. Similarly, nonsignificant improvements were noted in the intervention group for intrauterine growth restriction and admission to the neonatal ICU.

Limitations of the study included the relatively small number of pregnancies, which prevented assessment of rare complications in subgroups, and the challenge of matching control interventions, the researchers noted.

However, the results were strengthened by the focus on women with unexplained infertility, the inclusion of a comparison group, and the collection of data on complications after conception, they wrote.

Avenues for future research include interventions of different duration and intensity prior to conception, which may improve outcomes, the researchers said in their discussion of the findings. “A period of weight stabilization and maintenance after a weight-loss intervention prior to commencing infertility therapy is worth exploring,” they noted, but couples eager to conceive may be reluctant to wait for a weight-loss intervention, they added.

“Our findings directly impact current standards of clinical care, where women who are obese with unexplained infertility are to our knowledge routinely counseled to lose weight prior to initiation of infertility treatment,” they concluded.
 

Data may inform patient discussions

The current study is important because a large amount of previous research has shown an association between obesity and decreased fecundity in women and men, Mark P. Trolice, MD, of the University of Central Florida, Orlando, and director of the IVF Center in Winter Park, Fla., said in an interview.

According to the Centers for Disease Control and Prevention, the prevalence of obesity in the United States remains more than 40%, said Dr. Trolice. “Patients and physicians would benefit from clarity of obesity’s effect, if any, on reproduction,” he noted.

In contrast to the authors’ hypothesis, “the study did not find a difference in the live birth rate following up to three cycles of intrauterine insemination (IUI) between an intensive weight loss group [and] women who exercised without weight loss,” said Dr. Trolice. “Prior to this study, many reports suggested a decline in fertility with elevations in BMI, particularly during fertility treatment,” he added.

The take-home message from the current study is a that an elevated BMI, while possibly increasing the risks of metabolic disorders, did not appear to impact fecundity, he said.

The authors therefore concluded, “There is not strong evidence to recommend weight loss prior to conception in women who are obese with unexplained infertility,” Dr. Trolice said.

Regardless of the potential effect of preconception weight loss on fertility, barriers to starting a weight loss program include a woman’s eagerness to move forward with fertility treatments without waiting for weight loss, Dr. Trolice noted. “By the time a woman reaches an infertility specialist, she has been trying to conceive for at least 1 year,” he said. “At the initial consultation, these patients are anxious to undergo necessary additional diagnostic testing followed by treatment. Consequently, initiation of a weight-loss program is viewed as a delay toward the goal of family building,” he explained.

“More research is needed to demonstrate the safety of intensive weight loss preconception,” said Dr. Trolice. However, he said, “the issue of elevated BMI and increased risk of pregnancy complications remains, but this study provides important information for providers regarding counseling their patients desiring pregnancy.”

The study was supported by multiple grants from the National Institutes of Health through the Eunice Kennedy Shriver National Institute of Child Health and Human Development and the National Center for Advancing Translational Sciences. Nutrisystem provided discounted coupons for food allotments in the standardized treatment group, and FitBit provided the study organizers with discounted Fitbits for activity monitoring. Lead author Dr. Legro disclosed consulting fees from InSupp, Ferring, Bayer, Abbvie and Fractyl, and research sponsorship from Guerbet and the National Institutes of Health. Dr. Trolice had no financial conflicts to disclose and serves on the Editorial Advisory Board of Ob.Gyn News.

A study showing that once-weekly subcutaneous semaglutide 2.4 mg (Wegovy, Novo Nordisk) produces greater long-term weight loss than once-daily injected liraglutide 3.0 mg (Saxenda, Novo Nordisk) among adults with overweight or obesity without diabetes has now been published.

The data, previously reported at Obesity Week 2021, were published online Jan. 11 in JAMA.

The findings are from the phase 3 Semaglutide Treatment Effect in People with Obesity (STEP) 8 trial by Domenica M. Rubino, MD, of the Washington Center for Weight Management and Research, Arlington, Virginia, and colleagues.

Semaglutide and liraglutide, subcutaneously injectable glucagon-like peptide-1 (GLP-1) agonists, were both first approved for the treatment of type 2 diabetes in the United States and elsewhere, but are now also approved, in different doses, for chronic weight management and in people with obesity or overweight and comorbidities. A phase 2 trial demonstrated that once-daily semaglutide 0.4 mg produced significantly more weight loss than liraglutide 3.0 mg.

“Semaglutide and liraglutide induce weight loss by lowering energy intake. However, the reduction in caloric intake versus placebo appears to be larger with semaglutide (35%) than liraglutide (approximately 16%),” say Dr. Rubino and colleagues.

“Semaglutide has also been associated with reductions in food cravings, which is less evident with liraglutide, suggesting different mechanisms of energy intake regulation,” they add.   

Novo Nordisk has recently reported that there may be supply problems with Wegovy, as a contract manufacturer that fills syringes for pens to inject the drug temporarily halted deliveries and manufacturing after issues related to good manufacturing practice.

The company is also developing an oral form of semaglutide for weight loss. The oral form has already been approved in doses of 7 or 14 mg/day for the treatment of type 2 diabetes in the United States as Rybelsus.

Individualize treatment for those with obesity

STEP 8 was a randomized, open-label, 68-week phase 3b trial of 338 adults randomized to once-weekly semaglutide 2.4 mg (n = 126), once-daily liraglutide 3.0 mg (n = 127), or matched injected placebo (n = 85) for 68 weeks, all provided with counseling on diet and physical activity.  

The primary outcome – estimated mean change in body weight at week 68 – was –15.8% with semaglutide versus –6.4% with liraglutide, a significant difference (P < .001). The proportions of patients achieving loss of body weight of 10%, 15%, or 20% were 70.9%, 55.6%, and 38.5% with semaglutide versus 25.6%, 12.0%, and 6.0% with liraglutide, respectively.

Significantly greater reductions were also seen at 68 weeks for weekly semaglutide versus daily liraglutide in absolute body weight, waist circumference, diastolic blood pressure, total cholesterol, very low-density cholesterol, triglycerides, A1c, fasting plasma glucose, and C-reactive protein. Differences in systolic blood pressure, LDL and HDL cholesterol, free fatty acids, and fasting serum insulin did not achieve significance.

Overall, 19.8% of patients permanently discontinued treatment, with the most discontinuations in the liraglutide group (27.6%), followed by placebo (17.6%) and semaglutide (3.5%). Time to first and permanent discontinuation were shorter with liraglutide than with semaglutide or placebo.

Adverse events were reported by 95.2% of patients with semaglutide, 96.1% with liraglutide, and 95.3% with placebo. Gastrointestinal disorders were the most common with the two active drugs, reported by 84.1% with semaglutide and 82.7% with liraglutide versus 55.3% with placebo.

Most side effects were mild to moderate and resolved without treatment discontinuation. Severe gastrointestinal adverse events were reported by only 3.2%, 2.4%, and 3.5% of patients with semaglutide, liraglutide, and placebo, respectively.

“This trial found weight loss with semaglutide was significantly greater than with liraglutide. However, the variability in treatment response means an individual’s tolerance and sensitivity to a specific treatment is important for obesity management,” the researchers observe.

“Therefore, having multiple antiobesity medications proven to lower body weight through different mechanisms, with different adverse effect profiles and dosing regimens, can only benefit clinicians and patients,” they conclude.

The trial was funded by Novo Nordisk. Dr. Rubino has reported being a clinical investigator for Boehringer Ingelheim, AstraZeneca, and Novo Nordisk; receiving honoraria from WebMD; receiving speaker fees, consulting fees, scientific advisory fees, and honoraria from Novo Nordisk; receiving grants from SARL and personal fees from Medscape, PeerView, and the Endocrine Society; and being a shareholder in Novo Nordisk.

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

A study showing that once-weekly subcutaneous semaglutide 2.4 mg (Wegovy, Novo Nordisk) produces greater long-term weight loss than once-daily injected liraglutide 3.0 mg (Saxenda, Novo Nordisk) among adults with overweight or obesity without diabetes has now been published.

The data, previously reported at Obesity Week 2021, were published online Jan. 11 in JAMA.

The findings are from the phase 3 Semaglutide Treatment Effect in People with Obesity (STEP) 8 trial by Domenica M. Rubino, MD, of the Washington Center for Weight Management and Research, Arlington, Virginia, and colleagues.

Semaglutide and liraglutide, subcutaneously injectable glucagon-like peptide-1 (GLP-1) agonists, were both first approved for the treatment of type 2 diabetes in the United States and elsewhere, but are now also approved, in different doses, for chronic weight management and in people with obesity or overweight and comorbidities. A phase 2 trial demonstrated that once-daily semaglutide 0.4 mg produced significantly more weight loss than liraglutide 3.0 mg.

“Semaglutide and liraglutide induce weight loss by lowering energy intake. However, the reduction in caloric intake versus placebo appears to be larger with semaglutide (35%) than liraglutide (approximately 16%),” say Dr. Rubino and colleagues.

“Semaglutide has also been associated with reductions in food cravings, which is less evident with liraglutide, suggesting different mechanisms of energy intake regulation,” they add.   

Novo Nordisk has recently reported that there may be supply problems with Wegovy, as a contract manufacturer that fills syringes for pens to inject the drug temporarily halted deliveries and manufacturing after issues related to good manufacturing practice.

The company is also developing an oral form of semaglutide for weight loss. The oral form has already been approved in doses of 7 or 14 mg/day for the treatment of type 2 diabetes in the United States as Rybelsus.

Individualize treatment for those with obesity

STEP 8 was a randomized, open-label, 68-week phase 3b trial of 338 adults randomized to once-weekly semaglutide 2.4 mg (n = 126), once-daily liraglutide 3.0 mg (n = 127), or matched injected placebo (n = 85) for 68 weeks, all provided with counseling on diet and physical activity.  

The primary outcome – estimated mean change in body weight at week 68 – was –15.8% with semaglutide versus –6.4% with liraglutide, a significant difference (P < .001). The proportions of patients achieving loss of body weight of 10%, 15%, or 20% were 70.9%, 55.6%, and 38.5% with semaglutide versus 25.6%, 12.0%, and 6.0% with liraglutide, respectively.

Significantly greater reductions were also seen at 68 weeks for weekly semaglutide versus daily liraglutide in absolute body weight, waist circumference, diastolic blood pressure, total cholesterol, very low-density cholesterol, triglycerides, A1c, fasting plasma glucose, and C-reactive protein. Differences in systolic blood pressure, LDL and HDL cholesterol, free fatty acids, and fasting serum insulin did not achieve significance.

Overall, 19.8% of patients permanently discontinued treatment, with the most discontinuations in the liraglutide group (27.6%), followed by placebo (17.6%) and semaglutide (3.5%). Time to first and permanent discontinuation were shorter with liraglutide than with semaglutide or placebo.

Adverse events were reported by 95.2% of patients with semaglutide, 96.1% with liraglutide, and 95.3% with placebo. Gastrointestinal disorders were the most common with the two active drugs, reported by 84.1% with semaglutide and 82.7% with liraglutide versus 55.3% with placebo.

Most side effects were mild to moderate and resolved without treatment discontinuation. Severe gastrointestinal adverse events were reported by only 3.2%, 2.4%, and 3.5% of patients with semaglutide, liraglutide, and placebo, respectively.

“This trial found weight loss with semaglutide was significantly greater than with liraglutide. However, the variability in treatment response means an individual’s tolerance and sensitivity to a specific treatment is important for obesity management,” the researchers observe.

“Therefore, having multiple antiobesity medications proven to lower body weight through different mechanisms, with different adverse effect profiles and dosing regimens, can only benefit clinicians and patients,” they conclude.

The trial was funded by Novo Nordisk. Dr. Rubino has reported being a clinical investigator for Boehringer Ingelheim, AstraZeneca, and Novo Nordisk; receiving honoraria from WebMD; receiving speaker fees, consulting fees, scientific advisory fees, and honoraria from Novo Nordisk; receiving grants from SARL and personal fees from Medscape, PeerView, and the Endocrine Society; and being a shareholder in Novo Nordisk.

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

A study showing that once-weekly subcutaneous semaglutide 2.4 mg (Wegovy, Novo Nordisk) produces greater long-term weight loss than once-daily injected liraglutide 3.0 mg (Saxenda, Novo Nordisk) among adults with overweight or obesity without diabetes has now been published.

The data, previously reported at Obesity Week 2021, were published online Jan. 11 in JAMA.

The findings are from the phase 3 Semaglutide Treatment Effect in People with Obesity (STEP) 8 trial by Domenica M. Rubino, MD, of the Washington Center for Weight Management and Research, Arlington, Virginia, and colleagues.

Semaglutide and liraglutide, subcutaneously injectable glucagon-like peptide-1 (GLP-1) agonists, were both first approved for the treatment of type 2 diabetes in the United States and elsewhere, but are now also approved, in different doses, for chronic weight management and in people with obesity or overweight and comorbidities. A phase 2 trial demonstrated that once-daily semaglutide 0.4 mg produced significantly more weight loss than liraglutide 3.0 mg.

“Semaglutide and liraglutide induce weight loss by lowering energy intake. However, the reduction in caloric intake versus placebo appears to be larger with semaglutide (35%) than liraglutide (approximately 16%),” say Dr. Rubino and colleagues.

“Semaglutide has also been associated with reductions in food cravings, which is less evident with liraglutide, suggesting different mechanisms of energy intake regulation,” they add.   

Novo Nordisk has recently reported that there may be supply problems with Wegovy, as a contract manufacturer that fills syringes for pens to inject the drug temporarily halted deliveries and manufacturing after issues related to good manufacturing practice.

The company is also developing an oral form of semaglutide for weight loss. The oral form has already been approved in doses of 7 or 14 mg/day for the treatment of type 2 diabetes in the United States as Rybelsus.

Individualize treatment for those with obesity

STEP 8 was a randomized, open-label, 68-week phase 3b trial of 338 adults randomized to once-weekly semaglutide 2.4 mg (n = 126), once-daily liraglutide 3.0 mg (n = 127), or matched injected placebo (n = 85) for 68 weeks, all provided with counseling on diet and physical activity.  

The primary outcome – estimated mean change in body weight at week 68 – was –15.8% with semaglutide versus –6.4% with liraglutide, a significant difference (P < .001). The proportions of patients achieving loss of body weight of 10%, 15%, or 20% were 70.9%, 55.6%, and 38.5% with semaglutide versus 25.6%, 12.0%, and 6.0% with liraglutide, respectively.

Significantly greater reductions were also seen at 68 weeks for weekly semaglutide versus daily liraglutide in absolute body weight, waist circumference, diastolic blood pressure, total cholesterol, very low-density cholesterol, triglycerides, A1c, fasting plasma glucose, and C-reactive protein. Differences in systolic blood pressure, LDL and HDL cholesterol, free fatty acids, and fasting serum insulin did not achieve significance.

Overall, 19.8% of patients permanently discontinued treatment, with the most discontinuations in the liraglutide group (27.6%), followed by placebo (17.6%) and semaglutide (3.5%). Time to first and permanent discontinuation were shorter with liraglutide than with semaglutide or placebo.

Adverse events were reported by 95.2% of patients with semaglutide, 96.1% with liraglutide, and 95.3% with placebo. Gastrointestinal disorders were the most common with the two active drugs, reported by 84.1% with semaglutide and 82.7% with liraglutide versus 55.3% with placebo.

Most side effects were mild to moderate and resolved without treatment discontinuation. Severe gastrointestinal adverse events were reported by only 3.2%, 2.4%, and 3.5% of patients with semaglutide, liraglutide, and placebo, respectively.

“This trial found weight loss with semaglutide was significantly greater than with liraglutide. However, the variability in treatment response means an individual’s tolerance and sensitivity to a specific treatment is important for obesity management,” the researchers observe.

“Therefore, having multiple antiobesity medications proven to lower body weight through different mechanisms, with different adverse effect profiles and dosing regimens, can only benefit clinicians and patients,” they conclude.

The trial was funded by Novo Nordisk. Dr. Rubino has reported being a clinical investigator for Boehringer Ingelheim, AstraZeneca, and Novo Nordisk; receiving honoraria from WebMD; receiving speaker fees, consulting fees, scientific advisory fees, and honoraria from Novo Nordisk; receiving grants from SARL and personal fees from Medscape, PeerView, and the Endocrine Society; and being a shareholder in Novo Nordisk.

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

A new study suggests that a healthy diet initiated by women before conception could lower the risk of obesity in the offspring.

Childhood obesity is a major public health concern in the United Kingdom, with nearly a quarter of children under 5 and more than a third of children starting secondary school being overweight or obese. Furthermore, childhood obesity is likely to persist in adulthood and have long-term health consequences.

Researchers at the University of Southampton (England) analyzed dietary data of 2,963 mother-child dyads identified from the U.K. Southampton Women’s Survey. Using the dietary data, each mother-child dyad was assigned combined diet quality score, based on which they were categorized into 5 groups: poor, poor-medium, medium, medium-better and best. Childhood adiposity was evaluated using dual-energy x-ray absorptiometry (DXA) and body mass index (BMI) z-scores.

The findings, published in the International Journal of Obesity, showed that mother-offspring diet quality trajectories were stable from preconception in mothers to age 8-9 years in the offspring. A poorer diet quality trajectory was linked to higher prepregnancy maternal BMI, lower maternal age at birth, lower educational levels, smoking, and multiparity. 

After adjusting for confounders, a 1-category reduction in the dietary trajectory was associated with higher DXA percentage body fat (standard deviation, 0.08; 95% confidence interval, 0.01-0.15) and BMI z-score (SD, 0.08; 95% CI, 0.00-0.16) in the offspring aged 8-9 years.

Lead author Sarah Crozier, PhD, University of Southampton, said: “This research shows the importance of intervening at the earliest possible stage in a child’s life, in pregnancy or even before conception, to enable us to tackle it.” The authors believe that the preconception period serves as a crucial window to introduce favorable changes in the maternal dietary quality.

The research was funded by grants from the Medical Research Council, Project EarlyNutrition, and the European Union’s Seventh Framework and Horizon 2020 programs. The study also received support from National Institute for Health Research Southampton Biomedical Research Centre, the University of Southampton and University Hospital Southampton NHS Foundation Trust. The authors reported no competing interests.

A version of this article first appeared on Medscape UK.

A new study suggests that a healthy diet initiated by women before conception could lower the risk of obesity in the offspring.

Childhood obesity is a major public health concern in the United Kingdom, with nearly a quarter of children under 5 and more than a third of children starting secondary school being overweight or obese. Furthermore, childhood obesity is likely to persist in adulthood and have long-term health consequences.

Researchers at the University of Southampton (England) analyzed dietary data of 2,963 mother-child dyads identified from the U.K. Southampton Women’s Survey. Using the dietary data, each mother-child dyad was assigned combined diet quality score, based on which they were categorized into 5 groups: poor, poor-medium, medium, medium-better and best. Childhood adiposity was evaluated using dual-energy x-ray absorptiometry (DXA) and body mass index (BMI) z-scores.

The findings, published in the International Journal of Obesity, showed that mother-offspring diet quality trajectories were stable from preconception in mothers to age 8-9 years in the offspring. A poorer diet quality trajectory was linked to higher prepregnancy maternal BMI, lower maternal age at birth, lower educational levels, smoking, and multiparity. 

After adjusting for confounders, a 1-category reduction in the dietary trajectory was associated with higher DXA percentage body fat (standard deviation, 0.08; 95% confidence interval, 0.01-0.15) and BMI z-score (SD, 0.08; 95% CI, 0.00-0.16) in the offspring aged 8-9 years.

Lead author Sarah Crozier, PhD, University of Southampton, said: “This research shows the importance of intervening at the earliest possible stage in a child’s life, in pregnancy or even before conception, to enable us to tackle it.” The authors believe that the preconception period serves as a crucial window to introduce favorable changes in the maternal dietary quality.

The research was funded by grants from the Medical Research Council, Project EarlyNutrition, and the European Union’s Seventh Framework and Horizon 2020 programs. The study also received support from National Institute for Health Research Southampton Biomedical Research Centre, the University of Southampton and University Hospital Southampton NHS Foundation Trust. The authors reported no competing interests.

A version of this article first appeared on Medscape UK.

A new study suggests that a healthy diet initiated by women before conception could lower the risk of obesity in the offspring.

Childhood obesity is a major public health concern in the United Kingdom, with nearly a quarter of children under 5 and more than a third of children starting secondary school being overweight or obese. Furthermore, childhood obesity is likely to persist in adulthood and have long-term health consequences.

Researchers at the University of Southampton (England) analyzed dietary data of 2,963 mother-child dyads identified from the U.K. Southampton Women’s Survey. Using the dietary data, each mother-child dyad was assigned combined diet quality score, based on which they were categorized into 5 groups: poor, poor-medium, medium, medium-better and best. Childhood adiposity was evaluated using dual-energy x-ray absorptiometry (DXA) and body mass index (BMI) z-scores.

The findings, published in the International Journal of Obesity, showed that mother-offspring diet quality trajectories were stable from preconception in mothers to age 8-9 years in the offspring. A poorer diet quality trajectory was linked to higher prepregnancy maternal BMI, lower maternal age at birth, lower educational levels, smoking, and multiparity. 

After adjusting for confounders, a 1-category reduction in the dietary trajectory was associated with higher DXA percentage body fat (standard deviation, 0.08; 95% confidence interval, 0.01-0.15) and BMI z-score (SD, 0.08; 95% CI, 0.00-0.16) in the offspring aged 8-9 years.

Lead author Sarah Crozier, PhD, University of Southampton, said: “This research shows the importance of intervening at the earliest possible stage in a child’s life, in pregnancy or even before conception, to enable us to tackle it.” The authors believe that the preconception period serves as a crucial window to introduce favorable changes in the maternal dietary quality.

The research was funded by grants from the Medical Research Council, Project EarlyNutrition, and the European Union’s Seventh Framework and Horizon 2020 programs. The study also received support from National Institute for Health Research Southampton Biomedical Research Centre, the University of Southampton and University Hospital Southampton NHS Foundation Trust. The authors reported no competing interests.

A version of this article first appeared on Medscape UK.

The Allurion intragastric balloon (formerly the Elipse, Allurion Technologies), a novel balloon that is swallowed, requiring no surgery or endoscopic placement, shows high efficacy in achieving weight loss and an improved metabolic profile, with fewer adverse events than reported with other available gastric balloons, results from a meta-analysis show.

“We believe this analysis to be the most comprehensive review [of the Allurion balloon],” reported first author Daryl Ramai, MD, of the division of gastroenterology and hepatology, University of Utah, Salt Lake City, and colleagues in the research, published in the November/December 2021 issue of the Journal of Clinical Gastroenterology.

“Our study showed that the Allurion balloon reduces waist circumference and triglyceride levels and [is] associated with less adverse events when compared with other intragastric balloons,” the authors concluded.

Unlike other balloons, the Allurion gastric balloon is compressed into a small capsule that is connected to a thin catheter and, once swallowed, it is then inflated with 550 mL of liquid through the catheter to create a feeling of fullness and help control hunger.

The procedure can be performed on an outpatient basis in approximately 20 minutes, potentially avoiding the burden and extra costs of surgery or endoscopic placement and removal. After approximately 4 months, the balloon is designed to empty through a valve that spontaneously opens, and the balloon is then passed in the stool.

Though currently used around the world, the balloon does not yet have approval from the Food and Drug Administration.
 

Meta-analysis shows 12.2% average weight loss across studies

To assess the balloon’s performance, the authors identified 7 out of 273 published studies that met the analysis criteria. The studies included 2,152 patients, ranging in age from 18 to 65 years, with a mean baseline body mass index of 32.1-38.6 kg/m2.

All of the studies were prospective, with reported outcomes at 3-4 months, when the Allurion balloon typically deflates. Three of the studies were multicenter, while four were single center.

In terms of improvements in BMI, the results showed the pooled mean difference from baseline through to the end of the studies was 0.88 (P = .001), and the weighted average percentage of total body weight loss during treatment across the studies was 12.2%.

The mean excess body weight loss across the Allurion studies was 49.1%.

The analysis was not designed to directly compare outcomes with other balloons, but the authors note, for instance, that the ReShape Duo intragastric balloon (an FDA-approved dual-balloon system) has been reported in a previous study to be associated with a percentage of total body weight loss of 7.6% at 6 months, compared with 3.6% observed among those with lifestyle modifications.

However, a separate meta-analysis showed the pooled percentage of total body weight loss with the FDA-approved Orbera balloon to be about the same as the current Allurion analysis, at 12.3% at 3 months after implantation (followed by 13.2% at 6 months and 11.3% at 12 months). The analysis further showed excess body weight loss with the Orbera balloon at 12 months to be 25.4%.

In other outcomes, the current meta-analysis also showed significant improvements with the Allurion balloon in waist circumference of 0.89 (P = .001) and in triglyceride levels of 0.66 (P = .004) versus baseline.

Previous research involving the FDA-approved Obalon intragastric balloon, which is inflated with gas rather than liquid, showed a significant reduction in waist circumference from 109 cm (±12.3) to 99 cm (±10.5) (P < .05), and another study showed that 37.5% of patients receiving the Orbera balloon had normalized triglyceride levels after 4 months, without concomitant medical therapy.
 

Adverse events appear lower vs. other balloons

Potential risks associated with the Allurion balloon include the potential for early deflation; however, the pooled rate of early balloon deflation observed in the meta-analysis was relatively low at 1.8%.

Other adverse events reported with the Allurion balloon were abdominal pain (37.5%), vomiting (29.6%), diarrhea (15.4%), and small bowel obstruction (0.5%).

The corresponding rates of abdominal pain with the ReShape Duo and Orbera balloons have been reported at 54.5% and 57.5%, respectively, with the effects possibly caused by overinflation, the authors noted.

And rates of vomiting with the ReShape Duo and Orbera balloons have been reported as much higher, at 86.7% and 86.8%, respectively.

Of note, there were no deaths or cases of acute pancreatitis reported in the meta-analysis studies of Allurion.

As reported by this news organization, such concerns have been raised in previous FDA alerts regarding the Orbera and ReShape Duo liquid-filled intragastric balloons.

In the most recent update, issued in April 2020, the FDA described receiving reports of 18 deaths that had occurred worldwide since the approvals of the Orbera and ReShape balloons, including eight in the United States.

Dr. Ramai noted that the concern about the issues is warranted.

“These concerns are valid,” he told this news organization. “Theoretically, since the Allurion balloon is placed for a shorter time span, it is conceivable that there may be less adverse events. However, comparative trials are needed to confirm this.”

Although the balloons show efficacy in patients struggling with weight loss, metabolic syndrome, and fatty liver disease, “the type and duration of intragastric balloons should be tailored to the patient,” Dr. Ramai said.

“Clinicians should thoroughly discuss with their patients the benefits and risks of using an intragastric balloon,” he added. “Furthermore, placement of intragastric balloons should only be attempted by clinicians with expertise in bariatric endoscopy.”

The study received no financial support. Dr. Ramai reported no relevant financial relationships.

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

The Allurion intragastric balloon (formerly the Elipse, Allurion Technologies), a novel balloon that is swallowed, requiring no surgery or endoscopic placement, shows high efficacy in achieving weight loss and an improved metabolic profile, with fewer adverse events than reported with other available gastric balloons, results from a meta-analysis show.

“We believe this analysis to be the most comprehensive review [of the Allurion balloon],” reported first author Daryl Ramai, MD, of the division of gastroenterology and hepatology, University of Utah, Salt Lake City, and colleagues in the research, published in the November/December 2021 issue of the Journal of Clinical Gastroenterology.

“Our study showed that the Allurion balloon reduces waist circumference and triglyceride levels and [is] associated with less adverse events when compared with other intragastric balloons,” the authors concluded.

Unlike other balloons, the Allurion gastric balloon is compressed into a small capsule that is connected to a thin catheter and, once swallowed, it is then inflated with 550 mL of liquid through the catheter to create a feeling of fullness and help control hunger.

The procedure can be performed on an outpatient basis in approximately 20 minutes, potentially avoiding the burden and extra costs of surgery or endoscopic placement and removal. After approximately 4 months, the balloon is designed to empty through a valve that spontaneously opens, and the balloon is then passed in the stool.

Though currently used around the world, the balloon does not yet have approval from the Food and Drug Administration.
 

Meta-analysis shows 12.2% average weight loss across studies

To assess the balloon’s performance, the authors identified 7 out of 273 published studies that met the analysis criteria. The studies included 2,152 patients, ranging in age from 18 to 65 years, with a mean baseline body mass index of 32.1-38.6 kg/m2.

All of the studies were prospective, with reported outcomes at 3-4 months, when the Allurion balloon typically deflates. Three of the studies were multicenter, while four were single center.

In terms of improvements in BMI, the results showed the pooled mean difference from baseline through to the end of the studies was 0.88 (P = .001), and the weighted average percentage of total body weight loss during treatment across the studies was 12.2%.

The mean excess body weight loss across the Allurion studies was 49.1%.

The analysis was not designed to directly compare outcomes with other balloons, but the authors note, for instance, that the ReShape Duo intragastric balloon (an FDA-approved dual-balloon system) has been reported in a previous study to be associated with a percentage of total body weight loss of 7.6% at 6 months, compared with 3.6% observed among those with lifestyle modifications.

However, a separate meta-analysis showed the pooled percentage of total body weight loss with the FDA-approved Orbera balloon to be about the same as the current Allurion analysis, at 12.3% at 3 months after implantation (followed by 13.2% at 6 months and 11.3% at 12 months). The analysis further showed excess body weight loss with the Orbera balloon at 12 months to be 25.4%.

In other outcomes, the current meta-analysis also showed significant improvements with the Allurion balloon in waist circumference of 0.89 (P = .001) and in triglyceride levels of 0.66 (P = .004) versus baseline.

Previous research involving the FDA-approved Obalon intragastric balloon, which is inflated with gas rather than liquid, showed a significant reduction in waist circumference from 109 cm (±12.3) to 99 cm (±10.5) (P < .05), and another study showed that 37.5% of patients receiving the Orbera balloon had normalized triglyceride levels after 4 months, without concomitant medical therapy.
 

Adverse events appear lower vs. other balloons

Potential risks associated with the Allurion balloon include the potential for early deflation; however, the pooled rate of early balloon deflation observed in the meta-analysis was relatively low at 1.8%.

Other adverse events reported with the Allurion balloon were abdominal pain (37.5%), vomiting (29.6%), diarrhea (15.4%), and small bowel obstruction (0.5%).

The corresponding rates of abdominal pain with the ReShape Duo and Orbera balloons have been reported at 54.5% and 57.5%, respectively, with the effects possibly caused by overinflation, the authors noted.

And rates of vomiting with the ReShape Duo and Orbera balloons have been reported as much higher, at 86.7% and 86.8%, respectively.

Of note, there were no deaths or cases of acute pancreatitis reported in the meta-analysis studies of Allurion.

As reported by this news organization, such concerns have been raised in previous FDA alerts regarding the Orbera and ReShape Duo liquid-filled intragastric balloons.

In the most recent update, issued in April 2020, the FDA described receiving reports of 18 deaths that had occurred worldwide since the approvals of the Orbera and ReShape balloons, including eight in the United States.

Dr. Ramai noted that the concern about the issues is warranted.

“These concerns are valid,” he told this news organization. “Theoretically, since the Allurion balloon is placed for a shorter time span, it is conceivable that there may be less adverse events. However, comparative trials are needed to confirm this.”

Although the balloons show efficacy in patients struggling with weight loss, metabolic syndrome, and fatty liver disease, “the type and duration of intragastric balloons should be tailored to the patient,” Dr. Ramai said.

“Clinicians should thoroughly discuss with their patients the benefits and risks of using an intragastric balloon,” he added. “Furthermore, placement of intragastric balloons should only be attempted by clinicians with expertise in bariatric endoscopy.”

The study received no financial support. Dr. Ramai reported no relevant financial relationships.

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

The Allurion intragastric balloon (formerly the Elipse, Allurion Technologies), a novel balloon that is swallowed, requiring no surgery or endoscopic placement, shows high efficacy in achieving weight loss and an improved metabolic profile, with fewer adverse events than reported with other available gastric balloons, results from a meta-analysis show.

“We believe this analysis to be the most comprehensive review [of the Allurion balloon],” reported first author Daryl Ramai, MD, of the division of gastroenterology and hepatology, University of Utah, Salt Lake City, and colleagues in the research, published in the November/December 2021 issue of the Journal of Clinical Gastroenterology.

“Our study showed that the Allurion balloon reduces waist circumference and triglyceride levels and [is] associated with less adverse events when compared with other intragastric balloons,” the authors concluded.

Unlike other balloons, the Allurion gastric balloon is compressed into a small capsule that is connected to a thin catheter and, once swallowed, it is then inflated with 550 mL of liquid through the catheter to create a feeling of fullness and help control hunger.

The procedure can be performed on an outpatient basis in approximately 20 minutes, potentially avoiding the burden and extra costs of surgery or endoscopic placement and removal. After approximately 4 months, the balloon is designed to empty through a valve that spontaneously opens, and the balloon is then passed in the stool.

Though currently used around the world, the balloon does not yet have approval from the Food and Drug Administration.
 

Meta-analysis shows 12.2% average weight loss across studies

To assess the balloon’s performance, the authors identified 7 out of 273 published studies that met the analysis criteria. The studies included 2,152 patients, ranging in age from 18 to 65 years, with a mean baseline body mass index of 32.1-38.6 kg/m2.

All of the studies were prospective, with reported outcomes at 3-4 months, when the Allurion balloon typically deflates. Three of the studies were multicenter, while four were single center.

In terms of improvements in BMI, the results showed the pooled mean difference from baseline through to the end of the studies was 0.88 (P = .001), and the weighted average percentage of total body weight loss during treatment across the studies was 12.2%.

The mean excess body weight loss across the Allurion studies was 49.1%.

The analysis was not designed to directly compare outcomes with other balloons, but the authors note, for instance, that the ReShape Duo intragastric balloon (an FDA-approved dual-balloon system) has been reported in a previous study to be associated with a percentage of total body weight loss of 7.6% at 6 months, compared with 3.6% observed among those with lifestyle modifications.

However, a separate meta-analysis showed the pooled percentage of total body weight loss with the FDA-approved Orbera balloon to be about the same as the current Allurion analysis, at 12.3% at 3 months after implantation (followed by 13.2% at 6 months and 11.3% at 12 months). The analysis further showed excess body weight loss with the Orbera balloon at 12 months to be 25.4%.

In other outcomes, the current meta-analysis also showed significant improvements with the Allurion balloon in waist circumference of 0.89 (P = .001) and in triglyceride levels of 0.66 (P = .004) versus baseline.

Previous research involving the FDA-approved Obalon intragastric balloon, which is inflated with gas rather than liquid, showed a significant reduction in waist circumference from 109 cm (±12.3) to 99 cm (±10.5) (P < .05), and another study showed that 37.5% of patients receiving the Orbera balloon had normalized triglyceride levels after 4 months, without concomitant medical therapy.
 

Adverse events appear lower vs. other balloons

Potential risks associated with the Allurion balloon include the potential for early deflation; however, the pooled rate of early balloon deflation observed in the meta-analysis was relatively low at 1.8%.

Other adverse events reported with the Allurion balloon were abdominal pain (37.5%), vomiting (29.6%), diarrhea (15.4%), and small bowel obstruction (0.5%).

The corresponding rates of abdominal pain with the ReShape Duo and Orbera balloons have been reported at 54.5% and 57.5%, respectively, with the effects possibly caused by overinflation, the authors noted.

And rates of vomiting with the ReShape Duo and Orbera balloons have been reported as much higher, at 86.7% and 86.8%, respectively.

Of note, there were no deaths or cases of acute pancreatitis reported in the meta-analysis studies of Allurion.

As reported by this news organization, such concerns have been raised in previous FDA alerts regarding the Orbera and ReShape Duo liquid-filled intragastric balloons.

In the most recent update, issued in April 2020, the FDA described receiving reports of 18 deaths that had occurred worldwide since the approvals of the Orbera and ReShape balloons, including eight in the United States.

Dr. Ramai noted that the concern about the issues is warranted.

“These concerns are valid,” he told this news organization. “Theoretically, since the Allurion balloon is placed for a shorter time span, it is conceivable that there may be less adverse events. However, comparative trials are needed to confirm this.”

Although the balloons show efficacy in patients struggling with weight loss, metabolic syndrome, and fatty liver disease, “the type and duration of intragastric balloons should be tailored to the patient,” Dr. Ramai said.

“Clinicians should thoroughly discuss with their patients the benefits and risks of using an intragastric balloon,” he added. “Furthermore, placement of intragastric balloons should only be attempted by clinicians with expertise in bariatric endoscopy.”

The study received no financial support. Dr. Ramai reported no relevant financial relationships.

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

Having specific health issues, including depressive symptoms and cardiovascular disease, as a middle-aged woman was associated with experiencing clinically important declines in health later in life, a new study finds.

The most predictive parameters of poorer health at age 65 were cardiovascular disease, clinically significant depressive symptoms, and current smoking. Osteoarthritis, lower education level, and higher body mass index (BMI) also were associated with poorer health status 10 years on, Daniel H. Solomon, MD, MPH and colleagues wrote in their observational study, which was published in JAMA Network Open.

Determining a patient’s score on a health-related quality of life measure based on these variables might be useful in clinical practice to recognize midlife patients at increased risk for later health deterioration, Dr. Solomon, of the division of rheumatology, inflammation, and immunity at Brigham and Women’s Hospital, Boston, said in a statement. This measure is called the Short Form 36 (SF-36), and the researchers specifically focused on the physical component summary score (PCS) of this measure. The SF-36 is similar to the Framingham 10-year coronary heart disease risk prediction score, according to Dr. Solomon, who is a professor of medicine at Harvard Medical School, also in Boston.

Based on their risk scores, women could preemptively target modifiable risk factors before they enter old age, the investigators wrote.

“Age 55-65 may be a critical decade. A person’s health and factors during this period may set them on a path for their later adult years,” Dr. Solomon said in a statement. “The good news is that a large proportion of women at midlife are very stable and will not go on to experience declines. But being able to identify women at higher risk could help lead to interventions targeted to them.”
 

Study details

The study included a cohort of 1,091 women drawn from the 3,302-participant Study of Women’s Health Across the Nation (SWAN), a racially and ethnically diverse group enrolled from six U.S. sites at or immediately before transition to menopause and followed for 10 years from age 55 to 65. The study sample, consisting of 24.6% Black, 24% Japanese or Chinese, and 51.9% White, had a median baseline age of 54.8 years and median BMI of 27 kg/m² at entry. The median baseline PCS score was 53.1 (interquartile range, 46.8-56.7).

Over 10 years, 206 (18.9%) of the women in the study experienced clinically important declines of at least 8 points in baseline characteristics at around age 55. The following were significantly associated with these declines:

• Having a higher BMI.
• Having osteoarthritis.
• Having a lower educational level.
• Being a current smoker.
• Having clinically significant depressive symptoms.
• Having cardiovascular disease.
• Having better (or higher) physical health and function score on the PCS.

The association between a higher PCS score and a greater decline might seem like an anomaly, Dr. Solomon said in an interview, but one interpretation of this finding is that women with higher or better scores at baseline have further to fall once other risk factors take effect.

With data analyzed from October 2020 to March 2021, the median 10-year change in PCS was –1.02 points, but 206 women experienced declines of 8 points or more.

Those with health declines were more likely to be Black and less likely to be Japanese. They were also more likely to have other comorbidities such as diabetes, hypertension, and osteoporosis, and to report less physical activity.
 

Scoring system should not replace individualized evaluation, outside expert said

Commenting on the findings, Margaret J. Nachtigall, MD, a clinical associate professor in the department of obstetrics and gynecology at New York University Langone Health, cautioned that a generalized scoring system should not replace individualized evaluation of women at midlife.

“I assess women around age 55 on a daily basis for health risk factors going forward. And while a number such as BMI can be helpful, I worry that reliance on a score could miss treating the individual,” Dr. Nachtigall said an interview. For instance, one woman might have a high BMI owing to greater muscle mass, which is heavy, while another may have a lower BMI but more fat-related weight, as well as exacerbating conditions such as hypertension that would elevate her risk. “You have to make the calculation for each person.”

Dr. Nachtigall, who was not involved in the SWAN analysis, noted, however, that a big-data scoring system might be a useful adjunct to individual patient evaluation in that “it would make physicians look at all these many risk factors to identify those prone to decline.”
 

Study includes racially diverse population

According to the authors, while other studies have identified similar and other risk factors such as poor sleep, most have not included such a racially diverse population and have focused on women already in their senior years when the window of opportunity may already have closed.

“As a clinician and epidemiologist, I often think about the window of opportunity at midlife, when people are vital, engaged, and resilient,” said Dr. Solomon in the statement. “If we can identify risk factors and determine who is at risk, we may be able to find interventions that can stave off health declines and help put people on a better health trajectory.”

Eric M. Ascher, DO, who practices family medicine at Lenox Hill Hospital in New York and was not involved in the SWAN research, agreed with Dr. Solomon.

“Doctors who treat chronic conditions often meet patients when they are already suffering from a medical problem,” he said in an interview. “It is key to decrease your risk factors before it is too late.”

Dr. Ascher added that many primary care providers already rely heavily on scoring systems when determining level of risk and type of intervention. “Any additional risk factor-scoring systems that are easy to implement and will prevent chronic diseases would be something providers would want to use with their patients.”

Detailed analyses of larger at-risk populations are needed to validate these risk factors and identify others, the authors said.

SWAN is supported by the National Institute on Aging, the National Institute of Nursing Research, and the National Institutes of Heath’s Office of Research on Women’s Health. Dr. Solomon reported financial ties to Amgen, AbbVie and Moderna, UpToDate, and Arthritis & Rheumatology; as well as serving on the board of directors for the Childhood Arthritis and Rheumatology Research Alliance and an advisory committee for the Food and Drug Administration outside of this work. Dr. Nachtigall and Dr. Ascher disclosed no conflicts of interest with regard to their comments.

Having specific health issues, including depressive symptoms and cardiovascular disease, as a middle-aged woman was associated with experiencing clinically important declines in health later in life, a new study finds.

The most predictive parameters of poorer health at age 65 were cardiovascular disease, clinically significant depressive symptoms, and current smoking. Osteoarthritis, lower education level, and higher body mass index (BMI) also were associated with poorer health status 10 years on, Daniel H. Solomon, MD, MPH and colleagues wrote in their observational study, which was published in JAMA Network Open.

Determining a patient’s score on a health-related quality of life measure based on these variables might be useful in clinical practice to recognize midlife patients at increased risk for later health deterioration, Dr. Solomon, of the division of rheumatology, inflammation, and immunity at Brigham and Women’s Hospital, Boston, said in a statement. This measure is called the Short Form 36 (SF-36), and the researchers specifically focused on the physical component summary score (PCS) of this measure. The SF-36 is similar to the Framingham 10-year coronary heart disease risk prediction score, according to Dr. Solomon, who is a professor of medicine at Harvard Medical School, also in Boston.

Based on their risk scores, women could preemptively target modifiable risk factors before they enter old age, the investigators wrote.

“Age 55-65 may be a critical decade. A person’s health and factors during this period may set them on a path for their later adult years,” Dr. Solomon said in a statement. “The good news is that a large proportion of women at midlife are very stable and will not go on to experience declines. But being able to identify women at higher risk could help lead to interventions targeted to them.”
 

Study details

The study included a cohort of 1,091 women drawn from the 3,302-participant Study of Women’s Health Across the Nation (SWAN), a racially and ethnically diverse group enrolled from six U.S. sites at or immediately before transition to menopause and followed for 10 years from age 55 to 65. The study sample, consisting of 24.6% Black, 24% Japanese or Chinese, and 51.9% White, had a median baseline age of 54.8 years and median BMI of 27 kg/m² at entry. The median baseline PCS score was 53.1 (interquartile range, 46.8-56.7).

Over 10 years, 206 (18.9%) of the women in the study experienced clinically important declines of at least 8 points in baseline characteristics at around age 55. The following were significantly associated with these declines:

• Having a higher BMI.
• Having osteoarthritis.
• Having a lower educational level.
• Being a current smoker.
• Having clinically significant depressive symptoms.
• Having cardiovascular disease.
• Having better (or higher) physical health and function score on the PCS.

The association between a higher PCS score and a greater decline might seem like an anomaly, Dr. Solomon said in an interview, but one interpretation of this finding is that women with higher or better scores at baseline have further to fall once other risk factors take effect.

With data analyzed from October 2020 to March 2021, the median 10-year change in PCS was –1.02 points, but 206 women experienced declines of 8 points or more.

Those with health declines were more likely to be Black and less likely to be Japanese. They were also more likely to have other comorbidities such as diabetes, hypertension, and osteoporosis, and to report less physical activity.
 

Scoring system should not replace individualized evaluation, outside expert said

Commenting on the findings, Margaret J. Nachtigall, MD, a clinical associate professor in the department of obstetrics and gynecology at New York University Langone Health, cautioned that a generalized scoring system should not replace individualized evaluation of women at midlife.

“I assess women around age 55 on a daily basis for health risk factors going forward. And while a number such as BMI can be helpful, I worry that reliance on a score could miss treating the individual,” Dr. Nachtigall said an interview. For instance, one woman might have a high BMI owing to greater muscle mass, which is heavy, while another may have a lower BMI but more fat-related weight, as well as exacerbating conditions such as hypertension that would elevate her risk. “You have to make the calculation for each person.”

Dr. Nachtigall, who was not involved in the SWAN analysis, noted, however, that a big-data scoring system might be a useful adjunct to individual patient evaluation in that “it would make physicians look at all these many risk factors to identify those prone to decline.”
 

Study includes racially diverse population

According to the authors, while other studies have identified similar and other risk factors such as poor sleep, most have not included such a racially diverse population and have focused on women already in their senior years when the window of opportunity may already have closed.

“As a clinician and epidemiologist, I often think about the window of opportunity at midlife, when people are vital, engaged, and resilient,” said Dr. Solomon in the statement. “If we can identify risk factors and determine who is at risk, we may be able to find interventions that can stave off health declines and help put people on a better health trajectory.”

Eric M. Ascher, DO, who practices family medicine at Lenox Hill Hospital in New York and was not involved in the SWAN research, agreed with Dr. Solomon.

“Doctors who treat chronic conditions often meet patients when they are already suffering from a medical problem,” he said in an interview. “It is key to decrease your risk factors before it is too late.”

Dr. Ascher added that many primary care providers already rely heavily on scoring systems when determining level of risk and type of intervention. “Any additional risk factor-scoring systems that are easy to implement and will prevent chronic diseases would be something providers would want to use with their patients.”

Detailed analyses of larger at-risk populations are needed to validate these risk factors and identify others, the authors said.

SWAN is supported by the National Institute on Aging, the National Institute of Nursing Research, and the National Institutes of Heath’s Office of Research on Women’s Health. Dr. Solomon reported financial ties to Amgen, AbbVie and Moderna, UpToDate, and Arthritis & Rheumatology; as well as serving on the board of directors for the Childhood Arthritis and Rheumatology Research Alliance and an advisory committee for the Food and Drug Administration outside of this work. Dr. Nachtigall and Dr. Ascher disclosed no conflicts of interest with regard to their comments.

Having specific health issues, including depressive symptoms and cardiovascular disease, as a middle-aged woman was associated with experiencing clinically important declines in health later in life, a new study finds.

The most predictive parameters of poorer health at age 65 were cardiovascular disease, clinically significant depressive symptoms, and current smoking. Osteoarthritis, lower education level, and higher body mass index (BMI) also were associated with poorer health status 10 years on, Daniel H. Solomon, MD, MPH and colleagues wrote in their observational study, which was published in JAMA Network Open.

Determining a patient’s score on a health-related quality of life measure based on these variables might be useful in clinical practice to recognize midlife patients at increased risk for later health deterioration, Dr. Solomon, of the division of rheumatology, inflammation, and immunity at Brigham and Women’s Hospital, Boston, said in a statement. This measure is called the Short Form 36 (SF-36), and the researchers specifically focused on the physical component summary score (PCS) of this measure. The SF-36 is similar to the Framingham 10-year coronary heart disease risk prediction score, according to Dr. Solomon, who is a professor of medicine at Harvard Medical School, also in Boston.

Based on their risk scores, women could preemptively target modifiable risk factors before they enter old age, the investigators wrote.

“Age 55-65 may be a critical decade. A person’s health and factors during this period may set them on a path for their later adult years,” Dr. Solomon said in a statement. “The good news is that a large proportion of women at midlife are very stable and will not go on to experience declines. But being able to identify women at higher risk could help lead to interventions targeted to them.”
 

Study details

The study included a cohort of 1,091 women drawn from the 3,302-participant Study of Women’s Health Across the Nation (SWAN), a racially and ethnically diverse group enrolled from six U.S. sites at or immediately before transition to menopause and followed for 10 years from age 55 to 65. The study sample, consisting of 24.6% Black, 24% Japanese or Chinese, and 51.9% White, had a median baseline age of 54.8 years and median BMI of 27 kg/m² at entry. The median baseline PCS score was 53.1 (interquartile range, 46.8-56.7).

Over 10 years, 206 (18.9%) of the women in the study experienced clinically important declines of at least 8 points in baseline characteristics at around age 55. The following were significantly associated with these declines:

• Having a higher BMI.
• Having osteoarthritis.
• Having a lower educational level.
• Being a current smoker.
• Having clinically significant depressive symptoms.
• Having cardiovascular disease.
• Having better (or higher) physical health and function score on the PCS.

The association between a higher PCS score and a greater decline might seem like an anomaly, Dr. Solomon said in an interview, but one interpretation of this finding is that women with higher or better scores at baseline have further to fall once other risk factors take effect.

With data analyzed from October 2020 to March 2021, the median 10-year change in PCS was –1.02 points, but 206 women experienced declines of 8 points or more.

Those with health declines were more likely to be Black and less likely to be Japanese. They were also more likely to have other comorbidities such as diabetes, hypertension, and osteoporosis, and to report less physical activity.
 

Scoring system should not replace individualized evaluation, outside expert said

Commenting on the findings, Margaret J. Nachtigall, MD, a clinical associate professor in the department of obstetrics and gynecology at New York University Langone Health, cautioned that a generalized scoring system should not replace individualized evaluation of women at midlife.

“I assess women around age 55 on a daily basis for health risk factors going forward. And while a number such as BMI can be helpful, I worry that reliance on a score could miss treating the individual,” Dr. Nachtigall said an interview. For instance, one woman might have a high BMI owing to greater muscle mass, which is heavy, while another may have a lower BMI but more fat-related weight, as well as exacerbating conditions such as hypertension that would elevate her risk. “You have to make the calculation for each person.”

Dr. Nachtigall, who was not involved in the SWAN analysis, noted, however, that a big-data scoring system might be a useful adjunct to individual patient evaluation in that “it would make physicians look at all these many risk factors to identify those prone to decline.”
 

Study includes racially diverse population

According to the authors, while other studies have identified similar and other risk factors such as poor sleep, most have not included such a racially diverse population and have focused on women already in their senior years when the window of opportunity may already have closed.

“As a clinician and epidemiologist, I often think about the window of opportunity at midlife, when people are vital, engaged, and resilient,” said Dr. Solomon in the statement. “If we can identify risk factors and determine who is at risk, we may be able to find interventions that can stave off health declines and help put people on a better health trajectory.”

Eric M. Ascher, DO, who practices family medicine at Lenox Hill Hospital in New York and was not involved in the SWAN research, agreed with Dr. Solomon.

“Doctors who treat chronic conditions often meet patients when they are already suffering from a medical problem,” he said in an interview. “It is key to decrease your risk factors before it is too late.”

Dr. Ascher added that many primary care providers already rely heavily on scoring systems when determining level of risk and type of intervention. “Any additional risk factor-scoring systems that are easy to implement and will prevent chronic diseases would be something providers would want to use with their patients.”

Detailed analyses of larger at-risk populations are needed to validate these risk factors and identify others, the authors said.

SWAN is supported by the National Institute on Aging, the National Institute of Nursing Research, and the National Institutes of Heath’s Office of Research on Women’s Health. Dr. Solomon reported financial ties to Amgen, AbbVie and Moderna, UpToDate, and Arthritis & Rheumatology; as well as serving on the board of directors for the Childhood Arthritis and Rheumatology Research Alliance and an advisory committee for the Food and Drug Administration outside of this work. Dr. Nachtigall and Dr. Ascher disclosed no conflicts of interest with regard to their comments.

Severe maternal sleep-disordered breathing (SDB) is a known risk factor for gestational diabetes, which is commonly diagnosed in the second or third trimester of pregnancy.

Now, a new study suggests that increases in insulin resistance, a precursor for gestational diabetes, may take place as early as the first trimester of pregnancy in women with risk factors for obstructive sleep apnea (OSA), such as overweight and habitual snoring.

This finding could potentially provide physicians with a window of opportunity to improve outcomes by screening at-risk women early in pregnancy or even prior to conception, Laura Sanapo, MD, assistant professor of medicine (research) at Brown University, Providence, R.I., and colleagues wrote in Sleep.

“Further studies are needed to investigate the association and its impact on the development of gestational diabetes, and to establish whether early-gestation or pregestational treatment of SDB would improve glucose metabolic outcomes in pregnancy,” they wrote.

”What this paper demonstrates is that the changes that predate gestational diabetes are seen much earlier in pregnancy,” senior study author Ghada Bourjeily, MD, professor of medicine at Brown University, said in an interview. Women should be screened for SDB rather than insulin resistance in early pregnancy since continuous positive airway pressure therapy (CPAP) is a highly effective intervention.

Waiting until midpregnancy to screen for OSA “is too late to make significant changes in the care of these women,” said Dr. Bourjeily, who is also director of research and training at the Women’s Medicine Collaborative at The Miriam Hospital in Providence, R.I. “By the time you diagnose gestational diabetes, the cat is out of the bag.”

For the study, women with early singleton pregnancies and risk factors for OSA such as habitual snoring and a median body mass index (BMI) of at least 27 kg/m² were recruited from two prospective clinical trial studies enriched for OSA positivity. Women with a history of pregestational diabetes and those using CPAP or receiving chronic steroid therapy were excluded from the current study.

A total of 192 study participants underwent in-home sleep study (HSAT) and homeostatic model assessment (HOMA) between 11 and 15 gestational weeks, respectively. The association between continuous measures of SDB as a respiratory-event index as well as oxygen-desaturation index and glucose metabolism parameters such as insulin resistance (HOMA-IR) were analyzed after adjusting for gestational age, maternal age, BMI, ethnicity, race, and parity.

In all, 61 women (32%) were diagnosed with OSA based on respiratory event index values greater than or equal to five events per hour. These participants were more likely to be older, to have a high BMI, and to be multipara, compared with women who didn’t have a diagnosis of OSA. Women with a diagnosis of OSA exhibited higher glucose and C-peptide values and a higher degree of insulin resistance, compared with women without OSA, the researchers found. An increase of 0.3 in HOMA-IR related to maternal SDB in early pregnancy may significantly affect glucose metabolism.

Although the findings of the current study cannot be extrapolated to women who don’t have overweight or obesity, some women with normal-range BMI (18.5-24.9) are also at increased risk of glucose metabolism changes, Dr. Bourjeily pointed out. This includes those of Southeast Asian descent. “We found that the association of SDB parameters with insulin resistance was actually happening independently of BMI and other factors.”

Ideally, screening for SDB would begin prior to pregnancy, Dr. Bourjeily said. A BMI greater than 25 should be taken into account and patients asked if they snore and if so, whether it’s loud enough to wake their partner. They should also be asked about experiencing daytime sleepiness.

“Based on these answers, especially in women screened prior to pregnancy, there will be time to make the diagnosis of sleep apnea and get the patient on CPAP,” Dr. Bourjeily said.

“This is an interesting study and one of the rare ones looking at early pregnancy and some of the mechanisms that could possibly be contributing to gestational diabetes,” commented Grenye O’Malley, MD, assistant professor in the division of endocrinology, diabetes, and bone disease at the Icahn School of Medicine at Mount Sinai, New York. Dr. O’Malley was not involved in the study.

“It confirms our suspicions that there’s probably a lot of things happening earlier in pregnancy before a diagnosis of gestational diabetes. It also confirms that some of the mechanisms are probably very similar to those involved in the association between disordered sleep and the development of type 2 diabetes.”

However, it’s too early to determine whether screening for SDB and the use of CPAP will prevent glycemic changes, Dr. O’Malley said in an interview. “Whenever we screen, we ask whether we have an intervention that changes outcomes and we don’t know that yet.”

Some of the symptoms of SDB are also common in early pregnancy, such as a BMI greater than 25 and daytime sleepiness, Dr. O’Malley pointed out. It was unclear whether the study participants had a propensity to develop type 2 diabetes or whether they were at risk of gestational diabetes.

This study was funded by the National Heart, Lung, and Blood Institute; the National Institute for Child Health; and the National Institute of General Medical Sciences. Dr. Bourjeily and colleagues, as well as Dr. O’Malley, reported having no potential financial conflicts of interest.

Severe maternal sleep-disordered breathing (SDB) is a known risk factor for gestational diabetes, which is commonly diagnosed in the second or third trimester of pregnancy.

Now, a new study suggests that increases in insulin resistance, a precursor for gestational diabetes, may take place as early as the first trimester of pregnancy in women with risk factors for obstructive sleep apnea (OSA), such as overweight and habitual snoring.

This finding could potentially provide physicians with a window of opportunity to improve outcomes by screening at-risk women early in pregnancy or even prior to conception, Laura Sanapo, MD, assistant professor of medicine (research) at Brown University, Providence, R.I., and colleagues wrote in Sleep.

“Further studies are needed to investigate the association and its impact on the development of gestational diabetes, and to establish whether early-gestation or pregestational treatment of SDB would improve glucose metabolic outcomes in pregnancy,” they wrote.

”What this paper demonstrates is that the changes that predate gestational diabetes are seen much earlier in pregnancy,” senior study author Ghada Bourjeily, MD, professor of medicine at Brown University, said in an interview. Women should be screened for SDB rather than insulin resistance in early pregnancy since continuous positive airway pressure therapy (CPAP) is a highly effective intervention.

Waiting until midpregnancy to screen for OSA “is too late to make significant changes in the care of these women,” said Dr. Bourjeily, who is also director of research and training at the Women’s Medicine Collaborative at The Miriam Hospital in Providence, R.I. “By the time you diagnose gestational diabetes, the cat is out of the bag.”

For the study, women with early singleton pregnancies and risk factors for OSA such as habitual snoring and a median body mass index (BMI) of at least 27 kg/m² were recruited from two prospective clinical trial studies enriched for OSA positivity. Women with a history of pregestational diabetes and those using CPAP or receiving chronic steroid therapy were excluded from the current study.

A total of 192 study participants underwent in-home sleep study (HSAT) and homeostatic model assessment (HOMA) between 11 and 15 gestational weeks, respectively. The association between continuous measures of SDB as a respiratory-event index as well as oxygen-desaturation index and glucose metabolism parameters such as insulin resistance (HOMA-IR) were analyzed after adjusting for gestational age, maternal age, BMI, ethnicity, race, and parity.

In all, 61 women (32%) were diagnosed with OSA based on respiratory event index values greater than or equal to five events per hour. These participants were more likely to be older, to have a high BMI, and to be multipara, compared with women who didn’t have a diagnosis of OSA. Women with a diagnosis of OSA exhibited higher glucose and C-peptide values and a higher degree of insulin resistance, compared with women without OSA, the researchers found. An increase of 0.3 in HOMA-IR related to maternal SDB in early pregnancy may significantly affect glucose metabolism.

Although the findings of the current study cannot be extrapolated to women who don’t have overweight or obesity, some women with normal-range BMI (18.5-24.9) are also at increased risk of glucose metabolism changes, Dr. Bourjeily pointed out. This includes those of Southeast Asian descent. “We found that the association of SDB parameters with insulin resistance was actually happening independently of BMI and other factors.”

Ideally, screening for SDB would begin prior to pregnancy, Dr. Bourjeily said. A BMI greater than 25 should be taken into account and patients asked if they snore and if so, whether it’s loud enough to wake their partner. They should also be asked about experiencing daytime sleepiness.

“Based on these answers, especially in women screened prior to pregnancy, there will be time to make the diagnosis of sleep apnea and get the patient on CPAP,” Dr. Bourjeily said.

“This is an interesting study and one of the rare ones looking at early pregnancy and some of the mechanisms that could possibly be contributing to gestational diabetes,” commented Grenye O’Malley, MD, assistant professor in the division of endocrinology, diabetes, and bone disease at the Icahn School of Medicine at Mount Sinai, New York. Dr. O’Malley was not involved in the study.

“It confirms our suspicions that there’s probably a lot of things happening earlier in pregnancy before a diagnosis of gestational diabetes. It also confirms that some of the mechanisms are probably very similar to those involved in the association between disordered sleep and the development of type 2 diabetes.”

However, it’s too early to determine whether screening for SDB and the use of CPAP will prevent glycemic changes, Dr. O’Malley said in an interview. “Whenever we screen, we ask whether we have an intervention that changes outcomes and we don’t know that yet.”

Some of the symptoms of SDB are also common in early pregnancy, such as a BMI greater than 25 and daytime sleepiness, Dr. O’Malley pointed out. It was unclear whether the study participants had a propensity to develop type 2 diabetes or whether they were at risk of gestational diabetes.

This study was funded by the National Heart, Lung, and Blood Institute; the National Institute for Child Health; and the National Institute of General Medical Sciences. Dr. Bourjeily and colleagues, as well as Dr. O’Malley, reported having no potential financial conflicts of interest.

Severe maternal sleep-disordered breathing (SDB) is a known risk factor for gestational diabetes, which is commonly diagnosed in the second or third trimester of pregnancy.

Now, a new study suggests that increases in insulin resistance, a precursor for gestational diabetes, may take place as early as the first trimester of pregnancy in women with risk factors for obstructive sleep apnea (OSA), such as overweight and habitual snoring.

This finding could potentially provide physicians with a window of opportunity to improve outcomes by screening at-risk women early in pregnancy or even prior to conception, Laura Sanapo, MD, assistant professor of medicine (research) at Brown University, Providence, R.I., and colleagues wrote in Sleep.

“Further studies are needed to investigate the association and its impact on the development of gestational diabetes, and to establish whether early-gestation or pregestational treatment of SDB would improve glucose metabolic outcomes in pregnancy,” they wrote.

”What this paper demonstrates is that the changes that predate gestational diabetes are seen much earlier in pregnancy,” senior study author Ghada Bourjeily, MD, professor of medicine at Brown University, said in an interview. Women should be screened for SDB rather than insulin resistance in early pregnancy since continuous positive airway pressure therapy (CPAP) is a highly effective intervention.

Waiting until midpregnancy to screen for OSA “is too late to make significant changes in the care of these women,” said Dr. Bourjeily, who is also director of research and training at the Women’s Medicine Collaborative at The Miriam Hospital in Providence, R.I. “By the time you diagnose gestational diabetes, the cat is out of the bag.”

For the study, women with early singleton pregnancies and risk factors for OSA such as habitual snoring and a median body mass index (BMI) of at least 27 kg/m² were recruited from two prospective clinical trial studies enriched for OSA positivity. Women with a history of pregestational diabetes and those using CPAP or receiving chronic steroid therapy were excluded from the current study.

A total of 192 study participants underwent in-home sleep study (HSAT) and homeostatic model assessment (HOMA) between 11 and 15 gestational weeks, respectively. The association between continuous measures of SDB as a respiratory-event index as well as oxygen-desaturation index and glucose metabolism parameters such as insulin resistance (HOMA-IR) were analyzed after adjusting for gestational age, maternal age, BMI, ethnicity, race, and parity.

In all, 61 women (32%) were diagnosed with OSA based on respiratory event index values greater than or equal to five events per hour. These participants were more likely to be older, to have a high BMI, and to be multipara, compared with women who didn’t have a diagnosis of OSA. Women with a diagnosis of OSA exhibited higher glucose and C-peptide values and a higher degree of insulin resistance, compared with women without OSA, the researchers found. An increase of 0.3 in HOMA-IR related to maternal SDB in early pregnancy may significantly affect glucose metabolism.

Although the findings of the current study cannot be extrapolated to women who don’t have overweight or obesity, some women with normal-range BMI (18.5-24.9) are also at increased risk of glucose metabolism changes, Dr. Bourjeily pointed out. This includes those of Southeast Asian descent. “We found that the association of SDB parameters with insulin resistance was actually happening independently of BMI and other factors.”

Ideally, screening for SDB would begin prior to pregnancy, Dr. Bourjeily said. A BMI greater than 25 should be taken into account and patients asked if they snore and if so, whether it’s loud enough to wake their partner. They should also be asked about experiencing daytime sleepiness.

“Based on these answers, especially in women screened prior to pregnancy, there will be time to make the diagnosis of sleep apnea and get the patient on CPAP,” Dr. Bourjeily said.

“This is an interesting study and one of the rare ones looking at early pregnancy and some of the mechanisms that could possibly be contributing to gestational diabetes,” commented Grenye O’Malley, MD, assistant professor in the division of endocrinology, diabetes, and bone disease at the Icahn School of Medicine at Mount Sinai, New York. Dr. O’Malley was not involved in the study.

“It confirms our suspicions that there’s probably a lot of things happening earlier in pregnancy before a diagnosis of gestational diabetes. It also confirms that some of the mechanisms are probably very similar to those involved in the association between disordered sleep and the development of type 2 diabetes.”

However, it’s too early to determine whether screening for SDB and the use of CPAP will prevent glycemic changes, Dr. O’Malley said in an interview. “Whenever we screen, we ask whether we have an intervention that changes outcomes and we don’t know that yet.”

Some of the symptoms of SDB are also common in early pregnancy, such as a BMI greater than 25 and daytime sleepiness, Dr. O’Malley pointed out. It was unclear whether the study participants had a propensity to develop type 2 diabetes or whether they were at risk of gestational diabetes.

This study was funded by the National Heart, Lung, and Blood Institute; the National Institute for Child Health; and the National Institute of General Medical Sciences. Dr. Bourjeily and colleagues, as well as Dr. O’Malley, reported having no potential financial conflicts of interest.