Manasi Talwadekar

TOPLINE:

Emergency department (ED) visits in the United States for suicide attempts and intentional self-harm show an increasing trend from 2011 to 2020, with visits being most common among adolescents and the largest increase in visits being seen in adults aged 65 years or older.

METHODOLOGY:

• This study used data from the National Hospital Ambulatory Medical Care Survey, an annual nationwide cross-sectional survey, to track trends in ED visits for suicide attempts and intentional self-harm in the United States from 2011 to 2020.
• Researchers identified visits for suicide attempts and intentional self-harm, along with diagnoses of any co-occurring mental health conditions, using discharge diagnosis codes or reason-for-visit codes.
• The focus was to identify the percentages of ED visits for suicide attempts and intentional self-harm, with analyses done per 100,000 persons and for changes possibly linked to the COVID-19 pandemic in 2019-2020.

TAKEAWAY:

• The number of ED visits owing to suicide attempts and intentional self-harm increased from 1.43 million in 2011-2012 to 5.37 million in 2019-2020 (average annual percent change, 19.5%; 95% confidence interval, 16.9-22.2).
• The rate of ED visits for suicide attempts and intentional self-harm was higher among adolescents and young adults, particularly women, and lower among children.
• Despite a surge in ED visits for self-harm, less than 16% included a mental health evaluation, with visits among patients with mood disorders decreasing by 5.5% annually and those among patients with drug-related disorders increasing by 6.8% annually.
• In 2019-2020, those aged 15-20 years had the highest rate of ED visits (1552 visits per 100,000 persons), with a significant increase seen across all age groups; the largest increase was among those aged 65 years or older.

IN PRACTICE:

“Given that suicide attempts are the single greatest risk factor for suicide, evidence-based management of individuals presenting to emergency departments with suicide attempts and intentional self-harm is a critical component of comprehensive suicide prevention strategies,” the authors wrote.

SOURCE:

The investigation, led by Tanner J. Bommersbach, MD, MPH, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, was published online in The American Journal of Psychiatry.

LIMITATIONS:

Visits for suicide attempts and intentional self-harm were identified based on discharge diagnostic and reason-for-visit codes, which may have led to an underestimation of visits for suicide attempts. ED visits for suicidal vs nonsuicidal self-injury could not be distinguished due to reliance on discharge diagnostic codes. Visits for suicidal ideation, which was not the focus of the study, may have been miscoded as suicide attempts and intentional self-harm.

DISCLOSURES:

No funding source was reported for the study. Some authors received funding grants from various institutions, and one author disclosed receiving honoraria for service as a review committee member and serving as a stakeholder/consultant and as an advisory committee member for some institutes and agencies.

A version of this article appeared on Medscape.com.

TOPLINE:

Emergency department (ED) visits in the United States for suicide attempts and intentional self-harm show an increasing trend from 2011 to 2020, with visits being most common among adolescents and the largest increase in visits being seen in adults aged 65 years or older.

METHODOLOGY:

• This study used data from the National Hospital Ambulatory Medical Care Survey, an annual nationwide cross-sectional survey, to track trends in ED visits for suicide attempts and intentional self-harm in the United States from 2011 to 2020.
• Researchers identified visits for suicide attempts and intentional self-harm, along with diagnoses of any co-occurring mental health conditions, using discharge diagnosis codes or reason-for-visit codes.
• The focus was to identify the percentages of ED visits for suicide attempts and intentional self-harm, with analyses done per 100,000 persons and for changes possibly linked to the COVID-19 pandemic in 2019-2020.

TAKEAWAY:

• The number of ED visits owing to suicide attempts and intentional self-harm increased from 1.43 million in 2011-2012 to 5.37 million in 2019-2020 (average annual percent change, 19.5%; 95% confidence interval, 16.9-22.2).
• The rate of ED visits for suicide attempts and intentional self-harm was higher among adolescents and young adults, particularly women, and lower among children.
• Despite a surge in ED visits for self-harm, less than 16% included a mental health evaluation, with visits among patients with mood disorders decreasing by 5.5% annually and those among patients with drug-related disorders increasing by 6.8% annually.
• In 2019-2020, those aged 15-20 years had the highest rate of ED visits (1552 visits per 100,000 persons), with a significant increase seen across all age groups; the largest increase was among those aged 65 years or older.

IN PRACTICE:

“Given that suicide attempts are the single greatest risk factor for suicide, evidence-based management of individuals presenting to emergency departments with suicide attempts and intentional self-harm is a critical component of comprehensive suicide prevention strategies,” the authors wrote.

SOURCE:

The investigation, led by Tanner J. Bommersbach, MD, MPH, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, was published online in The American Journal of Psychiatry.

LIMITATIONS:

Visits for suicide attempts and intentional self-harm were identified based on discharge diagnostic and reason-for-visit codes, which may have led to an underestimation of visits for suicide attempts. ED visits for suicidal vs nonsuicidal self-injury could not be distinguished due to reliance on discharge diagnostic codes. Visits for suicidal ideation, which was not the focus of the study, may have been miscoded as suicide attempts and intentional self-harm.

DISCLOSURES:

No funding source was reported for the study. Some authors received funding grants from various institutions, and one author disclosed receiving honoraria for service as a review committee member and serving as a stakeholder/consultant and as an advisory committee member for some institutes and agencies.

A version of this article appeared on Medscape.com.

TOPLINE:

Emergency department (ED) visits in the United States for suicide attempts and intentional self-harm show an increasing trend from 2011 to 2020, with visits being most common among adolescents and the largest increase in visits being seen in adults aged 65 years or older.

METHODOLOGY:

• This study used data from the National Hospital Ambulatory Medical Care Survey, an annual nationwide cross-sectional survey, to track trends in ED visits for suicide attempts and intentional self-harm in the United States from 2011 to 2020.
• Researchers identified visits for suicide attempts and intentional self-harm, along with diagnoses of any co-occurring mental health conditions, using discharge diagnosis codes or reason-for-visit codes.
• The focus was to identify the percentages of ED visits for suicide attempts and intentional self-harm, with analyses done per 100,000 persons and for changes possibly linked to the COVID-19 pandemic in 2019-2020.

TAKEAWAY:

• The number of ED visits owing to suicide attempts and intentional self-harm increased from 1.43 million in 2011-2012 to 5.37 million in 2019-2020 (average annual percent change, 19.5%; 95% confidence interval, 16.9-22.2).
• The rate of ED visits for suicide attempts and intentional self-harm was higher among adolescents and young adults, particularly women, and lower among children.
• Despite a surge in ED visits for self-harm, less than 16% included a mental health evaluation, with visits among patients with mood disorders decreasing by 5.5% annually and those among patients with drug-related disorders increasing by 6.8% annually.
• In 2019-2020, those aged 15-20 years had the highest rate of ED visits (1552 visits per 100,000 persons), with a significant increase seen across all age groups; the largest increase was among those aged 65 years or older.

IN PRACTICE:

“Given that suicide attempts are the single greatest risk factor for suicide, evidence-based management of individuals presenting to emergency departments with suicide attempts and intentional self-harm is a critical component of comprehensive suicide prevention strategies,” the authors wrote.

SOURCE:

The investigation, led by Tanner J. Bommersbach, MD, MPH, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, was published online in The American Journal of Psychiatry.

LIMITATIONS:

Visits for suicide attempts and intentional self-harm were identified based on discharge diagnostic and reason-for-visit codes, which may have led to an underestimation of visits for suicide attempts. ED visits for suicidal vs nonsuicidal self-injury could not be distinguished due to reliance on discharge diagnostic codes. Visits for suicidal ideation, which was not the focus of the study, may have been miscoded as suicide attempts and intentional self-harm.

DISCLOSURES:

No funding source was reported for the study. Some authors received funding grants from various institutions, and one author disclosed receiving honoraria for service as a review committee member and serving as a stakeholder/consultant and as an advisory committee member for some institutes and agencies.

A version of this article appeared on Medscape.com.

TOPLINE:

Long-term exposure to fine particulate matter is associated with higher fasting blood glucose (FBG) levels and an increased type 2 diabetes risk, significantly contributing to the diabetes-related health burden among women of reproductive age.

METHODOLOGY:

• Exposure to fine particulate matter < 2.5 µm (PM2.5) is a known risk factor for type 2 diabetes, but its effect on women of reproductive age, who undergo hormonal fluctuations during reproductive events, is not well studied.
• Researchers evaluated the association of long-term exposure to PM2.5 with FBG levels and diabetes risk in 20,076,032 eligible women of reproductive age (average age, 27.04 years) across 350 cities in China between 2010 and 2015.
• They assessed PM2.5 exposure at the participants’ residential addresses and calculated average long-term exposure at 1 (lag 1 year), 2 (lag 2 years), and 3 years (lag 3 years) before the survey date, as defined by the World Health Organization (WHO).
• The primary outcomes were FBG levels and diabetes prevalence (FBG, ≥ 7 mmol/L, classified as diabetes; FBG, 6.1-7 mmol/L, classified as prediabetes).
• The study also evaluated the diabetes burden attributed to long-term PM2.5 exposure as per the Chinese National Ambient Air Quality Standards (annual mean PM2.5 exposure limit, > 35 µg/m³) and the WHO air quality guideline (annual mean PM2.5 exposure limit, > 5 µg/m³).

TAKEAWAY:

• The median PM2.5 exposure levels over lag periods of 1, 2, and 3 years were 67, 67, and 66 µg/m³, respectively, exceeding the WHO limit by more than 13-fold.
• Each interquartile range increase in the 3-year average PM2.5 exposure by 27 μg/m³ raised FBG levels by 0.078 mmol/L (P < .05), risk for diabetes by 18% (odds ratio [OR], 1.18; 95% CI, 1.16-1.19), and risk for prediabetes by 5% (OR, 1.05; 95% CI, 1.04-1.05).
• Long-term exposure to PM2.5 > 5 µg/m³ and 35 µg/m³ in the previous 3 years corresponded to an additional 41.7 (95% CI, 39.3-44.0) and 78.6 (95% CI, 74.5-82.6) thousand cases of diabetes nationwide, respectively.
• A higher PM2.5 exposure increased FBG levels and risk for diabetes in women with overweight or obesity vs those without and in those aged ≥ 35 years vs < 35 years (P < .001).

IN PRACTICE:

“These findings carry significant public health implications for formulating effective intervention strategies and environmental policies to better protect women’s health, particularly in countries with relatively high levels of air pollution and a large population with diabetes, such as China,” the authors wrote.

SOURCE:

The study, led by Yang Shen, Key Laboratory of Public Health Safety of the Ministry of Education and National Health Commission Key Laboratory of Health Technology Assessment, School of Public Health, Fudan University, Shanghai, China, was published online in Diabetes Care.

LIMITATIONS:

An error in the measurement of particulate matter exposure may have been possible as residential address estimates were used as a proxy for actual personal exposure. Questionnaires were used to retrospectively collect information on parameters such as smoking and alcohol consumption, which may have introduced recall bias. Data on potential confounders, such as diet and physical activity, were not included. Distinction between type 1 and type 2 diabetes was not reported owing to data collection–related limitations.

DISCLOSURES:

The study was supported by the National Key Research and Development Program of China, Henan Key Research and Development Program, State Key Laboratory of Resources and Environmental Information System, and Three-Year Public Health Action Plan of Shanghai. The authors declared no conflicts of interest.

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

TOPLINE:

Long-term exposure to fine particulate matter is associated with higher fasting blood glucose (FBG) levels and an increased type 2 diabetes risk, significantly contributing to the diabetes-related health burden among women of reproductive age.

METHODOLOGY:

• Exposure to fine particulate matter < 2.5 µm (PM2.5) is a known risk factor for type 2 diabetes, but its effect on women of reproductive age, who undergo hormonal fluctuations during reproductive events, is not well studied.
• Researchers evaluated the association of long-term exposure to PM2.5 with FBG levels and diabetes risk in 20,076,032 eligible women of reproductive age (average age, 27.04 years) across 350 cities in China between 2010 and 2015.
• They assessed PM2.5 exposure at the participants’ residential addresses and calculated average long-term exposure at 1 (lag 1 year), 2 (lag 2 years), and 3 years (lag 3 years) before the survey date, as defined by the World Health Organization (WHO).
• The primary outcomes were FBG levels and diabetes prevalence (FBG, ≥ 7 mmol/L, classified as diabetes; FBG, 6.1-7 mmol/L, classified as prediabetes).
• The study also evaluated the diabetes burden attributed to long-term PM2.5 exposure as per the Chinese National Ambient Air Quality Standards (annual mean PM2.5 exposure limit, > 35 µg/m³) and the WHO air quality guideline (annual mean PM2.5 exposure limit, > 5 µg/m³).

TAKEAWAY:

• The median PM2.5 exposure levels over lag periods of 1, 2, and 3 years were 67, 67, and 66 µg/m³, respectively, exceeding the WHO limit by more than 13-fold.
• Each interquartile range increase in the 3-year average PM2.5 exposure by 27 μg/m³ raised FBG levels by 0.078 mmol/L (P < .05), risk for diabetes by 18% (odds ratio [OR], 1.18; 95% CI, 1.16-1.19), and risk for prediabetes by 5% (OR, 1.05; 95% CI, 1.04-1.05).
• Long-term exposure to PM2.5 > 5 µg/m³ and 35 µg/m³ in the previous 3 years corresponded to an additional 41.7 (95% CI, 39.3-44.0) and 78.6 (95% CI, 74.5-82.6) thousand cases of diabetes nationwide, respectively.
• A higher PM2.5 exposure increased FBG levels and risk for diabetes in women with overweight or obesity vs those without and in those aged ≥ 35 years vs < 35 years (P < .001).

IN PRACTICE:

“These findings carry significant public health implications for formulating effective intervention strategies and environmental policies to better protect women’s health, particularly in countries with relatively high levels of air pollution and a large population with diabetes, such as China,” the authors wrote.

SOURCE:

The study, led by Yang Shen, Key Laboratory of Public Health Safety of the Ministry of Education and National Health Commission Key Laboratory of Health Technology Assessment, School of Public Health, Fudan University, Shanghai, China, was published online in Diabetes Care.

LIMITATIONS:

An error in the measurement of particulate matter exposure may have been possible as residential address estimates were used as a proxy for actual personal exposure. Questionnaires were used to retrospectively collect information on parameters such as smoking and alcohol consumption, which may have introduced recall bias. Data on potential confounders, such as diet and physical activity, were not included. Distinction between type 1 and type 2 diabetes was not reported owing to data collection–related limitations.

DISCLOSURES:

The study was supported by the National Key Research and Development Program of China, Henan Key Research and Development Program, State Key Laboratory of Resources and Environmental Information System, and Three-Year Public Health Action Plan of Shanghai. The authors declared no conflicts of interest.

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

TOPLINE:

Long-term exposure to fine particulate matter is associated with higher fasting blood glucose (FBG) levels and an increased type 2 diabetes risk, significantly contributing to the diabetes-related health burden among women of reproductive age.

METHODOLOGY:

• Exposure to fine particulate matter < 2.5 µm (PM2.5) is a known risk factor for type 2 diabetes, but its effect on women of reproductive age, who undergo hormonal fluctuations during reproductive events, is not well studied.
• Researchers evaluated the association of long-term exposure to PM2.5 with FBG levels and diabetes risk in 20,076,032 eligible women of reproductive age (average age, 27.04 years) across 350 cities in China between 2010 and 2015.
• They assessed PM2.5 exposure at the participants’ residential addresses and calculated average long-term exposure at 1 (lag 1 year), 2 (lag 2 years), and 3 years (lag 3 years) before the survey date, as defined by the World Health Organization (WHO).
• The primary outcomes were FBG levels and diabetes prevalence (FBG, ≥ 7 mmol/L, classified as diabetes; FBG, 6.1-7 mmol/L, classified as prediabetes).
• The study also evaluated the diabetes burden attributed to long-term PM2.5 exposure as per the Chinese National Ambient Air Quality Standards (annual mean PM2.5 exposure limit, > 35 µg/m³) and the WHO air quality guideline (annual mean PM2.5 exposure limit, > 5 µg/m³).

TAKEAWAY:

• The median PM2.5 exposure levels over lag periods of 1, 2, and 3 years were 67, 67, and 66 µg/m³, respectively, exceeding the WHO limit by more than 13-fold.
• Each interquartile range increase in the 3-year average PM2.5 exposure by 27 μg/m³ raised FBG levels by 0.078 mmol/L (P < .05), risk for diabetes by 18% (odds ratio [OR], 1.18; 95% CI, 1.16-1.19), and risk for prediabetes by 5% (OR, 1.05; 95% CI, 1.04-1.05).
• Long-term exposure to PM2.5 > 5 µg/m³ and 35 µg/m³ in the previous 3 years corresponded to an additional 41.7 (95% CI, 39.3-44.0) and 78.6 (95% CI, 74.5-82.6) thousand cases of diabetes nationwide, respectively.
• A higher PM2.5 exposure increased FBG levels and risk for diabetes in women with overweight or obesity vs those without and in those aged ≥ 35 years vs < 35 years (P < .001).

IN PRACTICE:

“These findings carry significant public health implications for formulating effective intervention strategies and environmental policies to better protect women’s health, particularly in countries with relatively high levels of air pollution and a large population with diabetes, such as China,” the authors wrote.

SOURCE:

The study, led by Yang Shen, Key Laboratory of Public Health Safety of the Ministry of Education and National Health Commission Key Laboratory of Health Technology Assessment, School of Public Health, Fudan University, Shanghai, China, was published online in Diabetes Care.

LIMITATIONS:

An error in the measurement of particulate matter exposure may have been possible as residential address estimates were used as a proxy for actual personal exposure. Questionnaires were used to retrospectively collect information on parameters such as smoking and alcohol consumption, which may have introduced recall bias. Data on potential confounders, such as diet and physical activity, were not included. Distinction between type 1 and type 2 diabetes was not reported owing to data collection–related limitations.

DISCLOSURES:

The study was supported by the National Key Research and Development Program of China, Henan Key Research and Development Program, State Key Laboratory of Resources and Environmental Information System, and Three-Year Public Health Action Plan of Shanghai. The authors declared no conflicts of interest.

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

TOPLINE:

The addition of bupropion/naltrexone to glucagon-like peptide 1 (GLP-1) receptor agonists leads to a further 4%-5% total body weight loss (TBWL) in patients with obesity, including those who show a poor response to initial GLP-1 monotherapy.

METHODOLOGY:

• Some patients with obesity experience suboptimal weight loss with GLP-1 monotherapy; however, adding treatments targeting multiple pathways may offer synergistic effects and improve outcomes.
• Researchers retrospectively evaluated adult patients with body mass index (BMI) ≥ 30 who attended an obesity clinic in Vancouver, Canada, and received a GLP-1 receptor agonist (liraglutide or semaglutide) for at least 6 months.
• They compared patients who continued receiving GLP-1 monotherapy with those who received add-on bupropion/naltrexone (combination therapy).
• The percent TBWL was compared between the groups from the initiation of the GLP-1 or the addition of bupropion/naltrexone over a period of 6 and 12 months.
• Patients prescribed combination therapy were stratified into responders (≥ 5% TBWL) and nonresponders (< 5% TBWL) based on their initial response to GLP-1 monotherapy.

TAKEAWAY:

• Researchers included 415 patients with BMI ≥ 30 (mean age, 47.3 years; 75.6% women), of whom 320 continued receiving GLP-1 monotherapy and 95 received add-on bupropion/naltrexone (combination therapy); the mean follow-up period was 510.9 days.
• At 12 months, there was no significant difference in the percent TBWL among patients receiving the GLP-1 monotherapy or combination therapy (9.6% TBWL in both).
• However, when patients were stratified by their initial GLP-1 response, combination therapy led to a greater percent TBWL than monotherapy in both responders (P = .002) and nonresponders (P < .0001).
• After the addition of bupropion/naltrexone, the mean percent TBWL was 4.3% (P < .001) and 5.3% (P = .009) at 6 and 12 months, respectively, among the responders, and 3.7% (P = .009) and 4.0% (P = .02) at 6 and 12 months, respectively, among the nonresponders.

IN PRACTICE:

“Specific characteristics of individuals who benefit from the bupropion/naltrexone augmentation should be examined to identify patient populations wherein this may be of greatest benefit,” the authors wrote.

SOURCE:

This study, led by James Naude, Faculty of Medicine, University of British Columbia, Vancouver, Canada, was published in the International Journal of Obesity.

LIMITATIONS:

Virtual care and self-reported weights by patients owing to the COVID-19 pandemic could have introduced bias. Some of the data on weight and medication adherence were missing. Moreover, there was no placebo control; hence, there may be confounding by indication.

DISCLOSURES:

The study was not supported by any specific funding. Two of the authors reported receiving educational grants and speaker fees, with one currently being an advisory board member to various pharma companies and the other an advisory board member to a pharma company in the past.

A version of this article appeared on Medscape.com.

TOPLINE:

The addition of bupropion/naltrexone to glucagon-like peptide 1 (GLP-1) receptor agonists leads to a further 4%-5% total body weight loss (TBWL) in patients with obesity, including those who show a poor response to initial GLP-1 monotherapy.

METHODOLOGY:

• Some patients with obesity experience suboptimal weight loss with GLP-1 monotherapy; however, adding treatments targeting multiple pathways may offer synergistic effects and improve outcomes.
• Researchers retrospectively evaluated adult patients with body mass index (BMI) ≥ 30 who attended an obesity clinic in Vancouver, Canada, and received a GLP-1 receptor agonist (liraglutide or semaglutide) for at least 6 months.
• They compared patients who continued receiving GLP-1 monotherapy with those who received add-on bupropion/naltrexone (combination therapy).
• The percent TBWL was compared between the groups from the initiation of the GLP-1 or the addition of bupropion/naltrexone over a period of 6 and 12 months.
• Patients prescribed combination therapy were stratified into responders (≥ 5% TBWL) and nonresponders (< 5% TBWL) based on their initial response to GLP-1 monotherapy.

TAKEAWAY:

• Researchers included 415 patients with BMI ≥ 30 (mean age, 47.3 years; 75.6% women), of whom 320 continued receiving GLP-1 monotherapy and 95 received add-on bupropion/naltrexone (combination therapy); the mean follow-up period was 510.9 days.
• At 12 months, there was no significant difference in the percent TBWL among patients receiving the GLP-1 monotherapy or combination therapy (9.6% TBWL in both).
• However, when patients were stratified by their initial GLP-1 response, combination therapy led to a greater percent TBWL than monotherapy in both responders (P = .002) and nonresponders (P < .0001).
• After the addition of bupropion/naltrexone, the mean percent TBWL was 4.3% (P < .001) and 5.3% (P = .009) at 6 and 12 months, respectively, among the responders, and 3.7% (P = .009) and 4.0% (P = .02) at 6 and 12 months, respectively, among the nonresponders.

IN PRACTICE:

“Specific characteristics of individuals who benefit from the bupropion/naltrexone augmentation should be examined to identify patient populations wherein this may be of greatest benefit,” the authors wrote.

SOURCE:

This study, led by James Naude, Faculty of Medicine, University of British Columbia, Vancouver, Canada, was published in the International Journal of Obesity.

LIMITATIONS:

Virtual care and self-reported weights by patients owing to the COVID-19 pandemic could have introduced bias. Some of the data on weight and medication adherence were missing. Moreover, there was no placebo control; hence, there may be confounding by indication.

DISCLOSURES:

The study was not supported by any specific funding. Two of the authors reported receiving educational grants and speaker fees, with one currently being an advisory board member to various pharma companies and the other an advisory board member to a pharma company in the past.

A version of this article appeared on Medscape.com.

TOPLINE:

The addition of bupropion/naltrexone to glucagon-like peptide 1 (GLP-1) receptor agonists leads to a further 4%-5% total body weight loss (TBWL) in patients with obesity, including those who show a poor response to initial GLP-1 monotherapy.

METHODOLOGY:

• Some patients with obesity experience suboptimal weight loss with GLP-1 monotherapy; however, adding treatments targeting multiple pathways may offer synergistic effects and improve outcomes.
• Researchers retrospectively evaluated adult patients with body mass index (BMI) ≥ 30 who attended an obesity clinic in Vancouver, Canada, and received a GLP-1 receptor agonist (liraglutide or semaglutide) for at least 6 months.
• They compared patients who continued receiving GLP-1 monotherapy with those who received add-on bupropion/naltrexone (combination therapy).
• The percent TBWL was compared between the groups from the initiation of the GLP-1 or the addition of bupropion/naltrexone over a period of 6 and 12 months.
• Patients prescribed combination therapy were stratified into responders (≥ 5% TBWL) and nonresponders (< 5% TBWL) based on their initial response to GLP-1 monotherapy.

TAKEAWAY:

• Researchers included 415 patients with BMI ≥ 30 (mean age, 47.3 years; 75.6% women), of whom 320 continued receiving GLP-1 monotherapy and 95 received add-on bupropion/naltrexone (combination therapy); the mean follow-up period was 510.9 days.
• At 12 months, there was no significant difference in the percent TBWL among patients receiving the GLP-1 monotherapy or combination therapy (9.6% TBWL in both).
• However, when patients were stratified by their initial GLP-1 response, combination therapy led to a greater percent TBWL than monotherapy in both responders (P = .002) and nonresponders (P < .0001).
• After the addition of bupropion/naltrexone, the mean percent TBWL was 4.3% (P < .001) and 5.3% (P = .009) at 6 and 12 months, respectively, among the responders, and 3.7% (P = .009) and 4.0% (P = .02) at 6 and 12 months, respectively, among the nonresponders.

IN PRACTICE:

“Specific characteristics of individuals who benefit from the bupropion/naltrexone augmentation should be examined to identify patient populations wherein this may be of greatest benefit,” the authors wrote.

SOURCE:

This study, led by James Naude, Faculty of Medicine, University of British Columbia, Vancouver, Canada, was published in the International Journal of Obesity.

LIMITATIONS:

Virtual care and self-reported weights by patients owing to the COVID-19 pandemic could have introduced bias. Some of the data on weight and medication adherence were missing. Moreover, there was no placebo control; hence, there may be confounding by indication.

DISCLOSURES:

The study was not supported by any specific funding. Two of the authors reported receiving educational grants and speaker fees, with one currently being an advisory board member to various pharma companies and the other an advisory board member to a pharma company in the past.

A version of this article appeared on Medscape.com.

TOPLINE:

In women with gestational diabetes (GD), continuous glucose monitoring (CGM) shows elevated glycemic metrics earlier in pregnancy compared with the standard oral glucose tolerance test (OGTT).

METHODOLOGY:

• Earlier diagnosis and treatment of GDM may mitigate some perinatal risks, but the traditional OGTT at 24-28 weeks’ gestation delivers inconsistent results in early pregnancy, potentially leading to missed cases or overdiagnosis.
• This prospective noninterventional observational study conducted at two US academic-based clinical sites from June 2020 to December 2021 assessed CGM-derived glycemic patterns in 768 participants (mean age, 33 years; 77% White) enrolled prior to 17 weeks’ gestation with singleton pregnancy and an initial A1c level < 6.5%.
• Participants were encouraged to wear a blinded Dexcom G6 Pro CGM System sensor continuously until the day of delivery, with a median CGM wear duration of 67 days prior to OGTT.
• GDM was diagnosed using an OGTT conducted between 24 and 34 weeks’ gestation, which sorted women into those with GDM (n = 58) or without GDM (n = 710).
• CGM-derived glycemic patterns were compared between the participants with and without GDM.

TAKEAWAY:

• Women with GDM had a higher mean glucose (109 ± 13 vs 100 ± 8 mg/dL; P < .001) and greater glucose SD (23 ± 4 vs 19 ± 3; P < .001) than those without GDM throughout the gestational period prior to OGTT.
• Women with GDM spent lesser time in glycemic ranges of 63-140 mg/dL (87% ± 11% vs 94% ± 4%; P < .001) and 63-120 mg/dL (70% ± 17% vs 84% ± 8%; P < .001) throughout gestation than those without GDM prior to OGTT.
• The daytime and overnight mean glucose levels were higher in those with vs without GDM and attributed to increased hyperglycemia rather than decreased hypoglycemia, with those with GDM spending more time > 120 mg/dL and > 140 mg/dL and less time < 63 mg/dL and < 54 mg/dL.
• Mean glucose and percent time in the > 120 mg/dL and > 140 mg/dL ranges were higher in those with GDM as early as 13-14 weeks of gestation, which persisted at each 2-week period prior to OGTT.

IN PRACTICE:

“CGM could be used in addition to or instead of OGTT to screen individuals at risk for hyperglycemia during pregnancy, even as early as the first trimester,” the authors wrote, adding that “CGM could potentially play a pivotal role in providing timely identification of distinct glycemic patterns indicative of early dysglycemia.”

SOURCE:

The study, led by Celeste Durnwald, MD, Maternal-Fetal Medicine Research Program, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, was published online in Diabetes Care.

LIMITATIONS:

To include participants with possible early GDM, the study allowed the inclusion of up to 14 days of CGM data after OGTT in the overall gestational period and up to 10 days in the first and second trimesters. A detailed analysis of glycemia at the earliest timepoint of pregnancy could not be conducted as the first trimester data were limited. The findings may not be generalizable to a population with gestational hyperglycemia, as only 58 participants were identified with GDM using OGTT.

DISCLOSURES:

The study was supported by the Leona M. and Harry B. Helmsley Charitable Trust and UnitedHealth Group. Some authors reported performing advisory work, receiving research support and consultancy fees, and being on scientific advisory boards through their employer, while several authors reported that their institution received funds on their behalf from various pharmaceutical, healthcare, and medical device companies.

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

TOPLINE:

In women with gestational diabetes (GD), continuous glucose monitoring (CGM) shows elevated glycemic metrics earlier in pregnancy compared with the standard oral glucose tolerance test (OGTT).

METHODOLOGY:

• Earlier diagnosis and treatment of GDM may mitigate some perinatal risks, but the traditional OGTT at 24-28 weeks’ gestation delivers inconsistent results in early pregnancy, potentially leading to missed cases or overdiagnosis.
• This prospective noninterventional observational study conducted at two US academic-based clinical sites from June 2020 to December 2021 assessed CGM-derived glycemic patterns in 768 participants (mean age, 33 years; 77% White) enrolled prior to 17 weeks’ gestation with singleton pregnancy and an initial A1c level < 6.5%.
• Participants were encouraged to wear a blinded Dexcom G6 Pro CGM System sensor continuously until the day of delivery, with a median CGM wear duration of 67 days prior to OGTT.
• GDM was diagnosed using an OGTT conducted between 24 and 34 weeks’ gestation, which sorted women into those with GDM (n = 58) or without GDM (n = 710).
• CGM-derived glycemic patterns were compared between the participants with and without GDM.

TAKEAWAY:

• Women with GDM had a higher mean glucose (109 ± 13 vs 100 ± 8 mg/dL; P < .001) and greater glucose SD (23 ± 4 vs 19 ± 3; P < .001) than those without GDM throughout the gestational period prior to OGTT.
• Women with GDM spent lesser time in glycemic ranges of 63-140 mg/dL (87% ± 11% vs 94% ± 4%; P < .001) and 63-120 mg/dL (70% ± 17% vs 84% ± 8%; P < .001) throughout gestation than those without GDM prior to OGTT.
• The daytime and overnight mean glucose levels were higher in those with vs without GDM and attributed to increased hyperglycemia rather than decreased hypoglycemia, with those with GDM spending more time > 120 mg/dL and > 140 mg/dL and less time < 63 mg/dL and < 54 mg/dL.
• Mean glucose and percent time in the > 120 mg/dL and > 140 mg/dL ranges were higher in those with GDM as early as 13-14 weeks of gestation, which persisted at each 2-week period prior to OGTT.

IN PRACTICE:

“CGM could be used in addition to or instead of OGTT to screen individuals at risk for hyperglycemia during pregnancy, even as early as the first trimester,” the authors wrote, adding that “CGM could potentially play a pivotal role in providing timely identification of distinct glycemic patterns indicative of early dysglycemia.”

SOURCE:

The study, led by Celeste Durnwald, MD, Maternal-Fetal Medicine Research Program, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, was published online in Diabetes Care.

LIMITATIONS:

To include participants with possible early GDM, the study allowed the inclusion of up to 14 days of CGM data after OGTT in the overall gestational period and up to 10 days in the first and second trimesters. A detailed analysis of glycemia at the earliest timepoint of pregnancy could not be conducted as the first trimester data were limited. The findings may not be generalizable to a population with gestational hyperglycemia, as only 58 participants were identified with GDM using OGTT.

DISCLOSURES:

The study was supported by the Leona M. and Harry B. Helmsley Charitable Trust and UnitedHealth Group. Some authors reported performing advisory work, receiving research support and consultancy fees, and being on scientific advisory boards through their employer, while several authors reported that their institution received funds on their behalf from various pharmaceutical, healthcare, and medical device companies.

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

TOPLINE:

In women with gestational diabetes (GD), continuous glucose monitoring (CGM) shows elevated glycemic metrics earlier in pregnancy compared with the standard oral glucose tolerance test (OGTT).

METHODOLOGY:

• Earlier diagnosis and treatment of GDM may mitigate some perinatal risks, but the traditional OGTT at 24-28 weeks’ gestation delivers inconsistent results in early pregnancy, potentially leading to missed cases or overdiagnosis.
• This prospective noninterventional observational study conducted at two US academic-based clinical sites from June 2020 to December 2021 assessed CGM-derived glycemic patterns in 768 participants (mean age, 33 years; 77% White) enrolled prior to 17 weeks’ gestation with singleton pregnancy and an initial A1c level < 6.5%.
• Participants were encouraged to wear a blinded Dexcom G6 Pro CGM System sensor continuously until the day of delivery, with a median CGM wear duration of 67 days prior to OGTT.
• GDM was diagnosed using an OGTT conducted between 24 and 34 weeks’ gestation, which sorted women into those with GDM (n = 58) or without GDM (n = 710).
• CGM-derived glycemic patterns were compared between the participants with and without GDM.

TAKEAWAY:

• Women with GDM had a higher mean glucose (109 ± 13 vs 100 ± 8 mg/dL; P < .001) and greater glucose SD (23 ± 4 vs 19 ± 3; P < .001) than those without GDM throughout the gestational period prior to OGTT.
• Women with GDM spent lesser time in glycemic ranges of 63-140 mg/dL (87% ± 11% vs 94% ± 4%; P < .001) and 63-120 mg/dL (70% ± 17% vs 84% ± 8%; P < .001) throughout gestation than those without GDM prior to OGTT.
• The daytime and overnight mean glucose levels were higher in those with vs without GDM and attributed to increased hyperglycemia rather than decreased hypoglycemia, with those with GDM spending more time > 120 mg/dL and > 140 mg/dL and less time < 63 mg/dL and < 54 mg/dL.
• Mean glucose and percent time in the > 120 mg/dL and > 140 mg/dL ranges were higher in those with GDM as early as 13-14 weeks of gestation, which persisted at each 2-week period prior to OGTT.

IN PRACTICE:

“CGM could be used in addition to or instead of OGTT to screen individuals at risk for hyperglycemia during pregnancy, even as early as the first trimester,” the authors wrote, adding that “CGM could potentially play a pivotal role in providing timely identification of distinct glycemic patterns indicative of early dysglycemia.”

SOURCE:

The study, led by Celeste Durnwald, MD, Maternal-Fetal Medicine Research Program, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, was published online in Diabetes Care.

LIMITATIONS:

To include participants with possible early GDM, the study allowed the inclusion of up to 14 days of CGM data after OGTT in the overall gestational period and up to 10 days in the first and second trimesters. A detailed analysis of glycemia at the earliest timepoint of pregnancy could not be conducted as the first trimester data were limited. The findings may not be generalizable to a population with gestational hyperglycemia, as only 58 participants were identified with GDM using OGTT.

DISCLOSURES:

The study was supported by the Leona M. and Harry B. Helmsley Charitable Trust and UnitedHealth Group. Some authors reported performing advisory work, receiving research support and consultancy fees, and being on scientific advisory boards through their employer, while several authors reported that their institution received funds on their behalf from various pharmaceutical, healthcare, and medical device companies.

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

TOPLINE: 

Individuals with overweight and obesity who reach a weight-loss plateau at around 6 months on a healthy weight-loss diet may not achieve further weight reduction after switching to a different weight-loss diet.

METHODOLOGY:

• Dietary and lifestyle interventions initially result in rapid weight loss, followed by a weight-loss plateau after a few months and weight regain within a year or two, and diet fatigue has been proposed as a cause but not studied.
• This secondary analysis of a randomized trial assessed weight-loss trajectories before and after switching from a healthy low-carbohydrate (LC) diet to a healthy low-fat (LF) diet (or vice versa) in individuals with overweight and obesity.
• Overall, 42 participants (mean age, 42 years; 64% women; 87% White individuals) recruited from a local community in Palo Alto, California, were assigned to the LF or LC diet for the first 6 months, after which they were switched to the other diet for the remaining 6 months.
• Data from the DIETFITS trial, wherein participants remained either on the LF or LC diet for 12 months, were used as historical control.

The primary outcome was percent weight change at 3-6 months vs that observed at 6-9 months.

TAKEAWAY:

• The combined average weight loss was 7% (95% CI, 8%-6%) during the first 3 months, declining to 2% (95% CI, 3%-1%) between 3 and 6 months. On switching diets, the weight loss further slowed to 1% (95% CI, 2%-0.4%) between 6 and 9 months, with a modest increase in weight of 0.6% (95% CI, −0.1% to 1.3%) between 9 and 12 months.
• By diet order, participants in the LF first arm did not plateau and experienced a similar weight loss from 6 to 9 months as they had experienced from 3 to 6 months (relative change, −0.1%; 95% CI, −1.5% to 1.3%), while the LC first arm essentially nullified the 3-6 month weight loss during the 6-9 month LF phase (relative change, 2.2%; 95% CI, 0.7%-3.6%).
• For the LC first arm, low-density lipoprotein increased at 3 months and decreased when the participants switched to LF at 6 months, whereas the opposite effect was seen for the transition from LF to LC. Triglyceride levels decreased in both intervention arms.
• Insulin levels decreased in both dietary intervention arms between baseline and 6 months and plateaued following the 6-month dietary switch.

IN PRACTICE:

“This suggests that the weight-loss plateau typically seen at 6 months is physiological and cannot be overcome by simply switching to a different weight-loss diet,” wrote the authors. “As a person transitions from a weight loss to weight maintenance phase, a shift in the approach used may be required.”

SOURCE:

The study, led by Matthew J. Landry, Stanford Prevention Research Center, School of Medicine, Stanford University, California, was published in Scientific Reports.

LIMITATIONS:

The study results showed some possible differential trends but also highlighted the small sample size and large variability. Participants may have been unable to provide accurate estimates of self-reported energy intake. The authors also acknowledged that regular physical activity may have contributed to the maintenance of weight loss observed in this study.

DISCLOSURES:

The study was supported by the Hass Avocado Board; Human Health Service grant (General Clinical Research Centers and National Center for Research Resources, National Institutes of Health); National Heart, Lung, and Blood Institute; and Stanford Diabetes Research Center. The authors declared no conflicts of interest.

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

TOPLINE: 

Individuals with overweight and obesity who reach a weight-loss plateau at around 6 months on a healthy weight-loss diet may not achieve further weight reduction after switching to a different weight-loss diet.

METHODOLOGY:

• Dietary and lifestyle interventions initially result in rapid weight loss, followed by a weight-loss plateau after a few months and weight regain within a year or two, and diet fatigue has been proposed as a cause but not studied.
• This secondary analysis of a randomized trial assessed weight-loss trajectories before and after switching from a healthy low-carbohydrate (LC) diet to a healthy low-fat (LF) diet (or vice versa) in individuals with overweight and obesity.
• Overall, 42 participants (mean age, 42 years; 64% women; 87% White individuals) recruited from a local community in Palo Alto, California, were assigned to the LF or LC diet for the first 6 months, after which they were switched to the other diet for the remaining 6 months.
• Data from the DIETFITS trial, wherein participants remained either on the LF or LC diet for 12 months, were used as historical control.

The primary outcome was percent weight change at 3-6 months vs that observed at 6-9 months.

TAKEAWAY:

• The combined average weight loss was 7% (95% CI, 8%-6%) during the first 3 months, declining to 2% (95% CI, 3%-1%) between 3 and 6 months. On switching diets, the weight loss further slowed to 1% (95% CI, 2%-0.4%) between 6 and 9 months, with a modest increase in weight of 0.6% (95% CI, −0.1% to 1.3%) between 9 and 12 months.
• By diet order, participants in the LF first arm did not plateau and experienced a similar weight loss from 6 to 9 months as they had experienced from 3 to 6 months (relative change, −0.1%; 95% CI, −1.5% to 1.3%), while the LC first arm essentially nullified the 3-6 month weight loss during the 6-9 month LF phase (relative change, 2.2%; 95% CI, 0.7%-3.6%).
• For the LC first arm, low-density lipoprotein increased at 3 months and decreased when the participants switched to LF at 6 months, whereas the opposite effect was seen for the transition from LF to LC. Triglyceride levels decreased in both intervention arms.
• Insulin levels decreased in both dietary intervention arms between baseline and 6 months and plateaued following the 6-month dietary switch.

IN PRACTICE:

“This suggests that the weight-loss plateau typically seen at 6 months is physiological and cannot be overcome by simply switching to a different weight-loss diet,” wrote the authors. “As a person transitions from a weight loss to weight maintenance phase, a shift in the approach used may be required.”

SOURCE:

The study, led by Matthew J. Landry, Stanford Prevention Research Center, School of Medicine, Stanford University, California, was published in Scientific Reports.

LIMITATIONS:

The study results showed some possible differential trends but also highlighted the small sample size and large variability. Participants may have been unable to provide accurate estimates of self-reported energy intake. The authors also acknowledged that regular physical activity may have contributed to the maintenance of weight loss observed in this study.

DISCLOSURES:

The study was supported by the Hass Avocado Board; Human Health Service grant (General Clinical Research Centers and National Center for Research Resources, National Institutes of Health); National Heart, Lung, and Blood Institute; and Stanford Diabetes Research Center. The authors declared no conflicts of interest.

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

TOPLINE: 

Individuals with overweight and obesity who reach a weight-loss plateau at around 6 months on a healthy weight-loss diet may not achieve further weight reduction after switching to a different weight-loss diet.

METHODOLOGY:

• Dietary and lifestyle interventions initially result in rapid weight loss, followed by a weight-loss plateau after a few months and weight regain within a year or two, and diet fatigue has been proposed as a cause but not studied.
• This secondary analysis of a randomized trial assessed weight-loss trajectories before and after switching from a healthy low-carbohydrate (LC) diet to a healthy low-fat (LF) diet (or vice versa) in individuals with overweight and obesity.
• Overall, 42 participants (mean age, 42 years; 64% women; 87% White individuals) recruited from a local community in Palo Alto, California, were assigned to the LF or LC diet for the first 6 months, after which they were switched to the other diet for the remaining 6 months.
• Data from the DIETFITS trial, wherein participants remained either on the LF or LC diet for 12 months, were used as historical control.

The primary outcome was percent weight change at 3-6 months vs that observed at 6-9 months.

TAKEAWAY:

• The combined average weight loss was 7% (95% CI, 8%-6%) during the first 3 months, declining to 2% (95% CI, 3%-1%) between 3 and 6 months. On switching diets, the weight loss further slowed to 1% (95% CI, 2%-0.4%) between 6 and 9 months, with a modest increase in weight of 0.6% (95% CI, −0.1% to 1.3%) between 9 and 12 months.
• By diet order, participants in the LF first arm did not plateau and experienced a similar weight loss from 6 to 9 months as they had experienced from 3 to 6 months (relative change, −0.1%; 95% CI, −1.5% to 1.3%), while the LC first arm essentially nullified the 3-6 month weight loss during the 6-9 month LF phase (relative change, 2.2%; 95% CI, 0.7%-3.6%).
• For the LC first arm, low-density lipoprotein increased at 3 months and decreased when the participants switched to LF at 6 months, whereas the opposite effect was seen for the transition from LF to LC. Triglyceride levels decreased in both intervention arms.
• Insulin levels decreased in both dietary intervention arms between baseline and 6 months and plateaued following the 6-month dietary switch.

IN PRACTICE:

“This suggests that the weight-loss plateau typically seen at 6 months is physiological and cannot be overcome by simply switching to a different weight-loss diet,” wrote the authors. “As a person transitions from a weight loss to weight maintenance phase, a shift in the approach used may be required.”

SOURCE:

The study, led by Matthew J. Landry, Stanford Prevention Research Center, School of Medicine, Stanford University, California, was published in Scientific Reports.

LIMITATIONS:

The study results showed some possible differential trends but also highlighted the small sample size and large variability. Participants may have been unable to provide accurate estimates of self-reported energy intake. The authors also acknowledged that regular physical activity may have contributed to the maintenance of weight loss observed in this study.

DISCLOSURES:

The study was supported by the Hass Avocado Board; Human Health Service grant (General Clinical Research Centers and National Center for Research Resources, National Institutes of Health); National Heart, Lung, and Blood Institute; and Stanford Diabetes Research Center. The authors declared no conflicts of interest.

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

TOPLINE:

Higher levels of physical activity are associated with a decreased risk of developing inflammatory bowel disease (IBD), particularly Crohn’s disease (CD).

METHODOLOGY:

• Because previous observational studies on the association between physical activity and IBD risk have yielded a wide range of results and conclusions, researchers conducted a systematic review and meta-analysis to estimate the aggregate effect of physical activity on IBD risk across various demographics.
• The analysis included three large population-based cohort studies and seven small and large case-control studies from several global regions that were published before April 2023.
• The cohort studies included 1182 patients with CD, 2361 with ulcerative colitis (UC), and 860,992 individuals without IBD. The case-control studies involved 781 patients with CD and 2636 individuals without CD, and 1127 patients with UC and 3752 individuals without UC.
• The Grading of Recommendations Assessment, Development and Evaluation approach was used to determine the quality of evidence in the included studies.

TAKEAWAY:

• Individuals with high physical activity levels had a 22% and 38% reduced risk of developing CD in the cohort studies and case-control studies, respectively, compared with individuals with low physical activity levels.
• The risk for incident UC was 13% lower in the high vs low physical activity level groups in the cohort studies, but the reduction in the case-control studies did not reach statistical significance.
• The quality-of-evidence assessment found no serious limitations in the cohort studies but serious limitations in the case-control studies due to a high risk for bias and significant heterogeneity.

IN PRACTICE:

“There could be a role of physical activity as a prevention strategy against developing IBD. In addition to implementing public health interventions to increase physical activity level, there may be a place for physicians to advise increased physical activity level, especially to individuals at high risk of developing IBD, such as those with a strong family history of IBD,” the authors wrote.

SOURCE:

The study, led by Ho Tuan Tiong, MD, Department of Gastroenterology, Christchurch Hospital, Christchurch, New Zealand, was published online in the Journal of Crohn’s and Colitis.

LIMITATIONS:

There may be a risk for residual confounding owing to the observational nature of the studies. There may also be a risk for reverse causality, as the individuals who had IBD symptoms before diagnosis may have been less physically active due to the disease. Except in two studies that measured physical activity directly, questionnaires were used to assess physical activity, possibly leading to misclassification of activity levels.

DISCLOSURES:

The study did not receive any funding. Two authors reported receiving grants and consulting fees from several pharmaceutical companies.

A version of this article appeared on Medscape.com.

TOPLINE:

Higher levels of physical activity are associated with a decreased risk of developing inflammatory bowel disease (IBD), particularly Crohn’s disease (CD).

METHODOLOGY:

• Because previous observational studies on the association between physical activity and IBD risk have yielded a wide range of results and conclusions, researchers conducted a systematic review and meta-analysis to estimate the aggregate effect of physical activity on IBD risk across various demographics.
• The analysis included three large population-based cohort studies and seven small and large case-control studies from several global regions that were published before April 2023.
• The cohort studies included 1182 patients with CD, 2361 with ulcerative colitis (UC), and 860,992 individuals without IBD. The case-control studies involved 781 patients with CD and 2636 individuals without CD, and 1127 patients with UC and 3752 individuals without UC.
• The Grading of Recommendations Assessment, Development and Evaluation approach was used to determine the quality of evidence in the included studies.

TAKEAWAY:

• Individuals with high physical activity levels had a 22% and 38% reduced risk of developing CD in the cohort studies and case-control studies, respectively, compared with individuals with low physical activity levels.
• The risk for incident UC was 13% lower in the high vs low physical activity level groups in the cohort studies, but the reduction in the case-control studies did not reach statistical significance.
• The quality-of-evidence assessment found no serious limitations in the cohort studies but serious limitations in the case-control studies due to a high risk for bias and significant heterogeneity.

IN PRACTICE:

“There could be a role of physical activity as a prevention strategy against developing IBD. In addition to implementing public health interventions to increase physical activity level, there may be a place for physicians to advise increased physical activity level, especially to individuals at high risk of developing IBD, such as those with a strong family history of IBD,” the authors wrote.

SOURCE:

The study, led by Ho Tuan Tiong, MD, Department of Gastroenterology, Christchurch Hospital, Christchurch, New Zealand, was published online in the Journal of Crohn’s and Colitis.

LIMITATIONS:

There may be a risk for residual confounding owing to the observational nature of the studies. There may also be a risk for reverse causality, as the individuals who had IBD symptoms before diagnosis may have been less physically active due to the disease. Except in two studies that measured physical activity directly, questionnaires were used to assess physical activity, possibly leading to misclassification of activity levels.

DISCLOSURES:

The study did not receive any funding. Two authors reported receiving grants and consulting fees from several pharmaceutical companies.

A version of this article appeared on Medscape.com.

TOPLINE:

Higher levels of physical activity are associated with a decreased risk of developing inflammatory bowel disease (IBD), particularly Crohn’s disease (CD).

METHODOLOGY:

• Because previous observational studies on the association between physical activity and IBD risk have yielded a wide range of results and conclusions, researchers conducted a systematic review and meta-analysis to estimate the aggregate effect of physical activity on IBD risk across various demographics.
• The analysis included three large population-based cohort studies and seven small and large case-control studies from several global regions that were published before April 2023.
• The cohort studies included 1182 patients with CD, 2361 with ulcerative colitis (UC), and 860,992 individuals without IBD. The case-control studies involved 781 patients with CD and 2636 individuals without CD, and 1127 patients with UC and 3752 individuals without UC.
• The Grading of Recommendations Assessment, Development and Evaluation approach was used to determine the quality of evidence in the included studies.

TAKEAWAY:

• Individuals with high physical activity levels had a 22% and 38% reduced risk of developing CD in the cohort studies and case-control studies, respectively, compared with individuals with low physical activity levels.
• The risk for incident UC was 13% lower in the high vs low physical activity level groups in the cohort studies, but the reduction in the case-control studies did not reach statistical significance.
• The quality-of-evidence assessment found no serious limitations in the cohort studies but serious limitations in the case-control studies due to a high risk for bias and significant heterogeneity.

IN PRACTICE:

“There could be a role of physical activity as a prevention strategy against developing IBD. In addition to implementing public health interventions to increase physical activity level, there may be a place for physicians to advise increased physical activity level, especially to individuals at high risk of developing IBD, such as those with a strong family history of IBD,” the authors wrote.

SOURCE:

The study, led by Ho Tuan Tiong, MD, Department of Gastroenterology, Christchurch Hospital, Christchurch, New Zealand, was published online in the Journal of Crohn’s and Colitis.

LIMITATIONS:

There may be a risk for residual confounding owing to the observational nature of the studies. There may also be a risk for reverse causality, as the individuals who had IBD symptoms before diagnosis may have been less physically active due to the disease. Except in two studies that measured physical activity directly, questionnaires were used to assess physical activity, possibly leading to misclassification of activity levels.

DISCLOSURES:

The study did not receive any funding. Two authors reported receiving grants and consulting fees from several pharmaceutical companies.

A version of this article appeared on Medscape.com.

TOPLINE:

Moderate to vigorous aerobic physical activity performed in the evening is associated with the lowest risk for mortality, cardiovascular disease (CVD), and microvascular disease (MVD) in adults with obesity, including those with type 2 diabetes (T2D).

METHODOLOGY:

• Bouts of moderate to vigorous aerobic physical activity are widely recognized to improve cardiometabolic risk factors, but whether morning, afternoon, or evening timing may lead to greater improvements is unclear.
• Researchers analyzed UK Biobank data of 29,836 participants with obesity (body mass index, › 30; mean age, 62.2 years; 53.2% women), including 2995 also diagnosed with T2D, all enrolled in 2006-2010.
• Aerobic activity was defined as bouts lasting ≥ 3 minutes, and the intensity of activity was classified as light, moderate, or vigorous using accelerometer data collected from participants.
• Participants were stratified into the morning (6 a.m. to < 12 p.m.), afternoon (12 p.m. to < 6 p.m.), and evening (6 p.m. to < 12 a.m.) groups based on when > 50% of their total moderate to vigorous activity occurred, and those with no aerobic bouts were considered the reference group.
• The association between the timing of aerobic physical activity and risk for all-cause mortality, CVD (defined as circulatory, such as hypertension), and MVD (neuropathy, nephropathy, or retinopathy) was evaluated over a median follow-up of 7.9 years.

TAKEAWAY:

• Mortality risk was lowest in the evening moderate to vigorous physical activity group (hazard ratio [HR], 0.39; 95% CI, 0.27-0.55) and even lower in the T2D subgroup (HR, 0.24; 95% CI, 0.08-0.76) than in the reference group.
• Mortality risk was lower in the afternoon (HR, 0.60; 95% CI, 0.51-0.71) and morning (HR, 0.67; 95% CI, 0.56-0.79) activity groups than in the reference group, but this association was weaker than that observed in the evening activity group.
• The evening moderate to vigorous activity group had a lower risk for CVD (HR, 0.64; 95% CI, 0.54-0.75) and MVD (HR, 0.76; 95% CI, 0.63-0.92) than the reference group.
• Among participants with obesity and T2D, moderate to vigorous physical activity in the evening was associated with a lower risk for mortality, CVD, and MVD.

IN PRACTICE:

The authors wrote, “The results of this study emphasize that beyond the total volume of MVPA [moderate to vigorous physical activity], its timing, particularly in the evening, was consistently associated with the lowest risk of mortality relative to other timing windows.”

SOURCE:

The study, led by Angelo Sabag, PhD, Charles Perkins Centre, University of Sydney, Australia, was published online in Diabetes Care.

LIMITATIONS:

Because this was an observational study, the possibility of reverse causation from prodromal disease and unaccounted confounding factors could not have been ruled out. There was a lag of a median of 5.5 years between the UK Biobank baseline, when covariate measurements were taken, and the accelerometry study. Moreover, the response rate of the UK Biobank was low.

DISCLOSURES:

The study was funded by an Australian National Health and Medical Research Council Investigator Grant and the National Heart Foundation of Australia Postdoctoral Fellowship. The authors reported no conflicts of interest.

A version of this article appeared on Medscape.com.

TOPLINE:

Moderate to vigorous aerobic physical activity performed in the evening is associated with the lowest risk for mortality, cardiovascular disease (CVD), and microvascular disease (MVD) in adults with obesity, including those with type 2 diabetes (T2D).

METHODOLOGY:

• Bouts of moderate to vigorous aerobic physical activity are widely recognized to improve cardiometabolic risk factors, but whether morning, afternoon, or evening timing may lead to greater improvements is unclear.
• Researchers analyzed UK Biobank data of 29,836 participants with obesity (body mass index, › 30; mean age, 62.2 years; 53.2% women), including 2995 also diagnosed with T2D, all enrolled in 2006-2010.
• Aerobic activity was defined as bouts lasting ≥ 3 minutes, and the intensity of activity was classified as light, moderate, or vigorous using accelerometer data collected from participants.
• Participants were stratified into the morning (6 a.m. to < 12 p.m.), afternoon (12 p.m. to < 6 p.m.), and evening (6 p.m. to < 12 a.m.) groups based on when > 50% of their total moderate to vigorous activity occurred, and those with no aerobic bouts were considered the reference group.
• The association between the timing of aerobic physical activity and risk for all-cause mortality, CVD (defined as circulatory, such as hypertension), and MVD (neuropathy, nephropathy, or retinopathy) was evaluated over a median follow-up of 7.9 years.

TAKEAWAY:

• Mortality risk was lowest in the evening moderate to vigorous physical activity group (hazard ratio [HR], 0.39; 95% CI, 0.27-0.55) and even lower in the T2D subgroup (HR, 0.24; 95% CI, 0.08-0.76) than in the reference group.
• Mortality risk was lower in the afternoon (HR, 0.60; 95% CI, 0.51-0.71) and morning (HR, 0.67; 95% CI, 0.56-0.79) activity groups than in the reference group, but this association was weaker than that observed in the evening activity group.
• The evening moderate to vigorous activity group had a lower risk for CVD (HR, 0.64; 95% CI, 0.54-0.75) and MVD (HR, 0.76; 95% CI, 0.63-0.92) than the reference group.
• Among participants with obesity and T2D, moderate to vigorous physical activity in the evening was associated with a lower risk for mortality, CVD, and MVD.

IN PRACTICE:

The authors wrote, “The results of this study emphasize that beyond the total volume of MVPA [moderate to vigorous physical activity], its timing, particularly in the evening, was consistently associated with the lowest risk of mortality relative to other timing windows.”

SOURCE:

The study, led by Angelo Sabag, PhD, Charles Perkins Centre, University of Sydney, Australia, was published online in Diabetes Care.

LIMITATIONS:

Because this was an observational study, the possibility of reverse causation from prodromal disease and unaccounted confounding factors could not have been ruled out. There was a lag of a median of 5.5 years between the UK Biobank baseline, when covariate measurements were taken, and the accelerometry study. Moreover, the response rate of the UK Biobank was low.

DISCLOSURES:

The study was funded by an Australian National Health and Medical Research Council Investigator Grant and the National Heart Foundation of Australia Postdoctoral Fellowship. The authors reported no conflicts of interest.

A version of this article appeared on Medscape.com.

TOPLINE:

Moderate to vigorous aerobic physical activity performed in the evening is associated with the lowest risk for mortality, cardiovascular disease (CVD), and microvascular disease (MVD) in adults with obesity, including those with type 2 diabetes (T2D).

METHODOLOGY:

• Bouts of moderate to vigorous aerobic physical activity are widely recognized to improve cardiometabolic risk factors, but whether morning, afternoon, or evening timing may lead to greater improvements is unclear.
• Researchers analyzed UK Biobank data of 29,836 participants with obesity (body mass index, › 30; mean age, 62.2 years; 53.2% women), including 2995 also diagnosed with T2D, all enrolled in 2006-2010.
• Aerobic activity was defined as bouts lasting ≥ 3 minutes, and the intensity of activity was classified as light, moderate, or vigorous using accelerometer data collected from participants.
• Participants were stratified into the morning (6 a.m. to < 12 p.m.), afternoon (12 p.m. to < 6 p.m.), and evening (6 p.m. to < 12 a.m.) groups based on when > 50% of their total moderate to vigorous activity occurred, and those with no aerobic bouts were considered the reference group.
• The association between the timing of aerobic physical activity and risk for all-cause mortality, CVD (defined as circulatory, such as hypertension), and MVD (neuropathy, nephropathy, or retinopathy) was evaluated over a median follow-up of 7.9 years.

TAKEAWAY:

• Mortality risk was lowest in the evening moderate to vigorous physical activity group (hazard ratio [HR], 0.39; 95% CI, 0.27-0.55) and even lower in the T2D subgroup (HR, 0.24; 95% CI, 0.08-0.76) than in the reference group.
• Mortality risk was lower in the afternoon (HR, 0.60; 95% CI, 0.51-0.71) and morning (HR, 0.67; 95% CI, 0.56-0.79) activity groups than in the reference group, but this association was weaker than that observed in the evening activity group.
• The evening moderate to vigorous activity group had a lower risk for CVD (HR, 0.64; 95% CI, 0.54-0.75) and MVD (HR, 0.76; 95% CI, 0.63-0.92) than the reference group.
• Among participants with obesity and T2D, moderate to vigorous physical activity in the evening was associated with a lower risk for mortality, CVD, and MVD.

IN PRACTICE:

The authors wrote, “The results of this study emphasize that beyond the total volume of MVPA [moderate to vigorous physical activity], its timing, particularly in the evening, was consistently associated with the lowest risk of mortality relative to other timing windows.”

SOURCE:

The study, led by Angelo Sabag, PhD, Charles Perkins Centre, University of Sydney, Australia, was published online in Diabetes Care.

LIMITATIONS:

Because this was an observational study, the possibility of reverse causation from prodromal disease and unaccounted confounding factors could not have been ruled out. There was a lag of a median of 5.5 years between the UK Biobank baseline, when covariate measurements were taken, and the accelerometry study. Moreover, the response rate of the UK Biobank was low.

DISCLOSURES:

The study was funded by an Australian National Health and Medical Research Council Investigator Grant and the National Heart Foundation of Australia Postdoctoral Fellowship. The authors reported no conflicts of interest.

A version of this article appeared on Medscape.com.

TOPLINE:

Signals for keratoacanthoma and cutaneous squamous cell carcinoma (cSCC) with programmed cell death 1 (PD-1) and programmed cell death ligand 1 (PD-L1) inhibitors were detected in an analysis of adverse events (AEs) reported to the US Food and Drug Administration (FDA).

METHODOLOGY:

• The risk for dermatologic immune-related side effects may be increased with immunologic-modifying drugs.
• To determine if there are significant signals between keratoacanthomas and cSCCs and PD-1/PD-L1 inhibitors, researchers analyzed AEs associated with these agents reported to the FDA’s Adverse Event Reporting System (FAERS) between January 2004 and May 2023.
• Pharmacovigilance signals were identified, and a significant signal was defined as the lower 95% CI of a reporting odds ratio (ROR) greater than one or the lower 95% CI of an information component (IC) greater than 0.

TAKEAWAY:

• Of the 158,000 reports of PD-1/PD-L1 inhibitor use, 43 were in patients who developed a keratoacanthoma (mean age, 77 years; 39% women) and 83 were in patients who developed cSCC (mean age, 71 years; 41% women). Patients aged 60-79 years were most likely to develop keratoacanthomas and cSCC on these treatments.
• A PD-1/PD-L1 inhibitor was listed as the suspect drug in all 43 keratoacanthoma reports and in 70 of 83 cSCC reports (the remaining 13 listed them as the concomitant drug).
• Significant signals were reported for both keratoacanthoma (ROR, 9.7; IC, 1.9) and cSCC (ROR, 3.0; IC, 0.9) with PD-1/PD-L1 inhibitor use.
• Of the reports where this information was available, all 10 cases of PD-1/PD-L1 inhibitor–linked keratoacanthoma and 10 of 17 cases (59%) of PD-1/PD-L1 inhibitor–linked cSCC, resolution was noted following discontinuation or dose reduction of the inhibitor.

IN PRACTICE:

“Given the large number of patients receiving immunotherapy, FAERS recording only 43 patients developing keratoacanthoma and 83 patients developing cSCC highlights that these conditions are relatively rare adverse events,” the authors wrote but added that more studies are needed to confirm these results.

SOURCE:

The study, led by Pushkar Aggarwal, MD, MBA, of the Department of Dermatology, University of Cincinnati, Cincinnati, Ohio, was published online in JAMA Dermatology.

LIMITATIONS:

The data obtained from FAERS did not contain information on all AEs from drugs. In addition, a causal association could not be determined.

DISCLOSURES:

The funding source was not reported. The authors did not report any conflicts of interest.

A version of this article appeared on Medscape.com.

TOPLINE:

Signals for keratoacanthoma and cutaneous squamous cell carcinoma (cSCC) with programmed cell death 1 (PD-1) and programmed cell death ligand 1 (PD-L1) inhibitors were detected in an analysis of adverse events (AEs) reported to the US Food and Drug Administration (FDA).

METHODOLOGY:

• The risk for dermatologic immune-related side effects may be increased with immunologic-modifying drugs.
• To determine if there are significant signals between keratoacanthomas and cSCCs and PD-1/PD-L1 inhibitors, researchers analyzed AEs associated with these agents reported to the FDA’s Adverse Event Reporting System (FAERS) between January 2004 and May 2023.
• Pharmacovigilance signals were identified, and a significant signal was defined as the lower 95% CI of a reporting odds ratio (ROR) greater than one or the lower 95% CI of an information component (IC) greater than 0.

TAKEAWAY:

• Of the 158,000 reports of PD-1/PD-L1 inhibitor use, 43 were in patients who developed a keratoacanthoma (mean age, 77 years; 39% women) and 83 were in patients who developed cSCC (mean age, 71 years; 41% women). Patients aged 60-79 years were most likely to develop keratoacanthomas and cSCC on these treatments.
• A PD-1/PD-L1 inhibitor was listed as the suspect drug in all 43 keratoacanthoma reports and in 70 of 83 cSCC reports (the remaining 13 listed them as the concomitant drug).
• Significant signals were reported for both keratoacanthoma (ROR, 9.7; IC, 1.9) and cSCC (ROR, 3.0; IC, 0.9) with PD-1/PD-L1 inhibitor use.
• Of the reports where this information was available, all 10 cases of PD-1/PD-L1 inhibitor–linked keratoacanthoma and 10 of 17 cases (59%) of PD-1/PD-L1 inhibitor–linked cSCC, resolution was noted following discontinuation or dose reduction of the inhibitor.

IN PRACTICE:

“Given the large number of patients receiving immunotherapy, FAERS recording only 43 patients developing keratoacanthoma and 83 patients developing cSCC highlights that these conditions are relatively rare adverse events,” the authors wrote but added that more studies are needed to confirm these results.

SOURCE:

The study, led by Pushkar Aggarwal, MD, MBA, of the Department of Dermatology, University of Cincinnati, Cincinnati, Ohio, was published online in JAMA Dermatology.

LIMITATIONS:

The data obtained from FAERS did not contain information on all AEs from drugs. In addition, a causal association could not be determined.

DISCLOSURES:

The funding source was not reported. The authors did not report any conflicts of interest.

A version of this article appeared on Medscape.com.

TOPLINE:

Signals for keratoacanthoma and cutaneous squamous cell carcinoma (cSCC) with programmed cell death 1 (PD-1) and programmed cell death ligand 1 (PD-L1) inhibitors were detected in an analysis of adverse events (AEs) reported to the US Food and Drug Administration (FDA).

METHODOLOGY:

• The risk for dermatologic immune-related side effects may be increased with immunologic-modifying drugs.
• To determine if there are significant signals between keratoacanthomas and cSCCs and PD-1/PD-L1 inhibitors, researchers analyzed AEs associated with these agents reported to the FDA’s Adverse Event Reporting System (FAERS) between January 2004 and May 2023.
• Pharmacovigilance signals were identified, and a significant signal was defined as the lower 95% CI of a reporting odds ratio (ROR) greater than one or the lower 95% CI of an information component (IC) greater than 0.

TAKEAWAY:

• Of the 158,000 reports of PD-1/PD-L1 inhibitor use, 43 were in patients who developed a keratoacanthoma (mean age, 77 years; 39% women) and 83 were in patients who developed cSCC (mean age, 71 years; 41% women). Patients aged 60-79 years were most likely to develop keratoacanthomas and cSCC on these treatments.
• A PD-1/PD-L1 inhibitor was listed as the suspect drug in all 43 keratoacanthoma reports and in 70 of 83 cSCC reports (the remaining 13 listed them as the concomitant drug).
• Significant signals were reported for both keratoacanthoma (ROR, 9.7; IC, 1.9) and cSCC (ROR, 3.0; IC, 0.9) with PD-1/PD-L1 inhibitor use.
• Of the reports where this information was available, all 10 cases of PD-1/PD-L1 inhibitor–linked keratoacanthoma and 10 of 17 cases (59%) of PD-1/PD-L1 inhibitor–linked cSCC, resolution was noted following discontinuation or dose reduction of the inhibitor.

IN PRACTICE:

“Given the large number of patients receiving immunotherapy, FAERS recording only 43 patients developing keratoacanthoma and 83 patients developing cSCC highlights that these conditions are relatively rare adverse events,” the authors wrote but added that more studies are needed to confirm these results.

SOURCE:

The study, led by Pushkar Aggarwal, MD, MBA, of the Department of Dermatology, University of Cincinnati, Cincinnati, Ohio, was published online in JAMA Dermatology.

LIMITATIONS:

The data obtained from FAERS did not contain information on all AEs from drugs. In addition, a causal association could not be determined.

DISCLOSURES:

The funding source was not reported. The authors did not report any conflicts of interest.

A version of this article appeared on Medscape.com.

TOPLINE:

Combined pediatric dermatology-rheumatology clinics can improve patient care and patient satisfaction, a survey of dermatologists suggested.

METHODOLOGY:

• Combined pediatric dermatology-rheumatology clinics can improve patient outcomes and experiences, particularly for pediatric autoimmune conditions presenting with both cutaneous and systemic manifestations.
• The researchers surveyed 208 pediatric dermatologists working in combined pediatric dermatology-rheumatology clinics.
• A total of 13 member responses were recorded from three countries: 10 from the United States, two from Mexico, and one from Canada.

TAKEAWAY:

• Perceived benefits of combined clinics were improved patient care through coordinated treatment decisions and timely communication between providers.
• Patient satisfaction was favorable, and patients and families endorsed the combined clinic approach.
• Barriers to clinic establishment included differences in the pace between dermatology and rheumatology clinic flow, the need to generate more relative value units, resistance from colleagues, and limited time.
• Areas that needed improvement included more time for patient visits, dedicated research assistants, new patient referrals, additional patient rooms, resources for research, and patient care infrastructure.

IN PRACTICE:

The insights from this survey “will hopefully inspire further development of these combined clinics,” the authors wrote.

SOURCE:

The investigation, led by Olga S. Cherepakhin, BS, University of Washington, Seattle, Washington, was published in Pediatric Dermatology.

LIMITATIONS:

Limitations included the subjective nature, lack of some information, selection bias, and small number of respondents, and the survey reflected the perspective of the pediatric dermatologists only.

DISCLOSURES:

The study was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health. One author reported full-time employment at Janssen R&D, and the other authors had no disclosures.

A version of this article appeared on Medscape.com.

TOPLINE:

Combined pediatric dermatology-rheumatology clinics can improve patient care and patient satisfaction, a survey of dermatologists suggested.

METHODOLOGY:

• Combined pediatric dermatology-rheumatology clinics can improve patient outcomes and experiences, particularly for pediatric autoimmune conditions presenting with both cutaneous and systemic manifestations.
• The researchers surveyed 208 pediatric dermatologists working in combined pediatric dermatology-rheumatology clinics.
• A total of 13 member responses were recorded from three countries: 10 from the United States, two from Mexico, and one from Canada.

TAKEAWAY:

• Perceived benefits of combined clinics were improved patient care through coordinated treatment decisions and timely communication between providers.
• Patient satisfaction was favorable, and patients and families endorsed the combined clinic approach.
• Barriers to clinic establishment included differences in the pace between dermatology and rheumatology clinic flow, the need to generate more relative value units, resistance from colleagues, and limited time.
• Areas that needed improvement included more time for patient visits, dedicated research assistants, new patient referrals, additional patient rooms, resources for research, and patient care infrastructure.

IN PRACTICE:

The insights from this survey “will hopefully inspire further development of these combined clinics,” the authors wrote.

SOURCE:

The investigation, led by Olga S. Cherepakhin, BS, University of Washington, Seattle, Washington, was published in Pediatric Dermatology.

LIMITATIONS:

Limitations included the subjective nature, lack of some information, selection bias, and small number of respondents, and the survey reflected the perspective of the pediatric dermatologists only.

DISCLOSURES:

The study was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health. One author reported full-time employment at Janssen R&D, and the other authors had no disclosures.

A version of this article appeared on Medscape.com.

TOPLINE:

Combined pediatric dermatology-rheumatology clinics can improve patient care and patient satisfaction, a survey of dermatologists suggested.

METHODOLOGY:

• Combined pediatric dermatology-rheumatology clinics can improve patient outcomes and experiences, particularly for pediatric autoimmune conditions presenting with both cutaneous and systemic manifestations.
• The researchers surveyed 208 pediatric dermatologists working in combined pediatric dermatology-rheumatology clinics.
• A total of 13 member responses were recorded from three countries: 10 from the United States, two from Mexico, and one from Canada.

TAKEAWAY:

• Perceived benefits of combined clinics were improved patient care through coordinated treatment decisions and timely communication between providers.
• Patient satisfaction was favorable, and patients and families endorsed the combined clinic approach.
• Barriers to clinic establishment included differences in the pace between dermatology and rheumatology clinic flow, the need to generate more relative value units, resistance from colleagues, and limited time.
• Areas that needed improvement included more time for patient visits, dedicated research assistants, new patient referrals, additional patient rooms, resources for research, and patient care infrastructure.

IN PRACTICE:

The insights from this survey “will hopefully inspire further development of these combined clinics,” the authors wrote.

SOURCE:

The investigation, led by Olga S. Cherepakhin, BS, University of Washington, Seattle, Washington, was published in Pediatric Dermatology.

LIMITATIONS:

Limitations included the subjective nature, lack of some information, selection bias, and small number of respondents, and the survey reflected the perspective of the pediatric dermatologists only.

DISCLOSURES:

The study was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health. One author reported full-time employment at Janssen R&D, and the other authors had no disclosures.

A version of this article appeared on Medscape.com.

TOPLINE:

A low-fat vegan diet — high in fiber and carbohydrates and moderate in protein — reduces insulin requirement, increases insulin sensitivity, and improves glycemic control in individuals with type 1 diabetes (T1D) compared with a conventional portion-controlled diet.

METHODOLOGY:

• The effects of a low-fat vegan diet (without carbohydrate or portion restriction) were compared with those of a conventional portion-controlled, carbohydrate-controlled diet in 58 patients with T1D (age, ≥ 18 years) who had been receiving stable insulin treatment for the past 3 months.
• Participants were randomly assigned to receive either the vegan diet (n = 29), comprising vegetables, grains, legumes, and fruits, or the portion-controlled diet (n = 29), which reduced daily energy intake by 500-1000 kcal/d in participants with overweight while maintaining a stable carbohydrate intake.
• The primary clinical outcomes were insulin requirement (total daily dose of insulin), insulin sensitivity, and glycemic control (A1c).
• Other assessments included the blood, lipid profile, blood urea nitrogen, blood urea nitrogen-to-creatinine ratio, and body weight.

TAKEAWAY:

• The study was completed by 18 participants in the vegan-diet group and 17 in the portion-controlled group.
• In the vegan group, the total daily dose of insulin decreased by 12.1 units/d (P = .007) and insulin sensitivity increased by 6.6 g of carbohydrate per unit of insulin on average (P = .002), with no significant changes in the portion-controlled diet group.
• Participants on the vegan diet had lower levels of total and low-density lipoprotein cholesterol and blood urea nitrogen and a lower blood urea nitrogen-to-creatinine ratio (P for all < .001), whereas both vegan and portion-controlled groups had lower A1c levels.
• Body weight decreased by 5.2 kg (P < .001) in the vegan group; there were no significant changes in the portion-controlled group.
• For every 1-kg weight loss, there was a 2.16-unit decrease in the insulin total daily dose and a 0.9-unit increase in insulin sensitivity.

IN PRACTICE:

“This study provides substantial support for a low-fat vegan diet that is high in fiber and carbohydrates, low in fat, and moderate in protein” and suggests the potential therapeutic use of this diet in type 1 diabetes management, the authors wrote.

SOURCE:

The study led by Hana Kahleova, MD, PhD, Physicians Committee for Responsible Medicine, Washington, was published in Clinical Diabetes.

LIMITATIONS:

Dietary intake was recorded on the basis of self-reported data. A higher attrition rate was observed due to meal and blood glucose monitoring. The findings may have limited generalizability as the study participants comprised those seeking help for T1D.

DISCLOSURES:

The study was supported by the Physicians Committee for Responsible Medicine and a grant from the Institute for Technology in Healthcare. Some authors reported receiving compensation, being cofounders of a coaching program, writing books, providing nutrition coaching, giving lectures, or receiving royalties and honoraria from various sources.

A version of this article appeared on Medscape.com.

TOPLINE:

A low-fat vegan diet — high in fiber and carbohydrates and moderate in protein — reduces insulin requirement, increases insulin sensitivity, and improves glycemic control in individuals with type 1 diabetes (T1D) compared with a conventional portion-controlled diet.

METHODOLOGY:

• The effects of a low-fat vegan diet (without carbohydrate or portion restriction) were compared with those of a conventional portion-controlled, carbohydrate-controlled diet in 58 patients with T1D (age, ≥ 18 years) who had been receiving stable insulin treatment for the past 3 months.
• Participants were randomly assigned to receive either the vegan diet (n = 29), comprising vegetables, grains, legumes, and fruits, or the portion-controlled diet (n = 29), which reduced daily energy intake by 500-1000 kcal/d in participants with overweight while maintaining a stable carbohydrate intake.
• The primary clinical outcomes were insulin requirement (total daily dose of insulin), insulin sensitivity, and glycemic control (A1c).
• Other assessments included the blood, lipid profile, blood urea nitrogen, blood urea nitrogen-to-creatinine ratio, and body weight.

TAKEAWAY:

• The study was completed by 18 participants in the vegan-diet group and 17 in the portion-controlled group.
• In the vegan group, the total daily dose of insulin decreased by 12.1 units/d (P = .007) and insulin sensitivity increased by 6.6 g of carbohydrate per unit of insulin on average (P = .002), with no significant changes in the portion-controlled diet group.
• Participants on the vegan diet had lower levels of total and low-density lipoprotein cholesterol and blood urea nitrogen and a lower blood urea nitrogen-to-creatinine ratio (P for all < .001), whereas both vegan and portion-controlled groups had lower A1c levels.
• Body weight decreased by 5.2 kg (P < .001) in the vegan group; there were no significant changes in the portion-controlled group.
• For every 1-kg weight loss, there was a 2.16-unit decrease in the insulin total daily dose and a 0.9-unit increase in insulin sensitivity.

IN PRACTICE:

“This study provides substantial support for a low-fat vegan diet that is high in fiber and carbohydrates, low in fat, and moderate in protein” and suggests the potential therapeutic use of this diet in type 1 diabetes management, the authors wrote.

SOURCE:

The study led by Hana Kahleova, MD, PhD, Physicians Committee for Responsible Medicine, Washington, was published in Clinical Diabetes.

LIMITATIONS:

Dietary intake was recorded on the basis of self-reported data. A higher attrition rate was observed due to meal and blood glucose monitoring. The findings may have limited generalizability as the study participants comprised those seeking help for T1D.

DISCLOSURES:

The study was supported by the Physicians Committee for Responsible Medicine and a grant from the Institute for Technology in Healthcare. Some authors reported receiving compensation, being cofounders of a coaching program, writing books, providing nutrition coaching, giving lectures, or receiving royalties and honoraria from various sources.

A version of this article appeared on Medscape.com.

TOPLINE:

A low-fat vegan diet — high in fiber and carbohydrates and moderate in protein — reduces insulin requirement, increases insulin sensitivity, and improves glycemic control in individuals with type 1 diabetes (T1D) compared with a conventional portion-controlled diet.

METHODOLOGY:

• The effects of a low-fat vegan diet (without carbohydrate or portion restriction) were compared with those of a conventional portion-controlled, carbohydrate-controlled diet in 58 patients with T1D (age, ≥ 18 years) who had been receiving stable insulin treatment for the past 3 months.
• Participants were randomly assigned to receive either the vegan diet (n = 29), comprising vegetables, grains, legumes, and fruits, or the portion-controlled diet (n = 29), which reduced daily energy intake by 500-1000 kcal/d in participants with overweight while maintaining a stable carbohydrate intake.
• The primary clinical outcomes were insulin requirement (total daily dose of insulin), insulin sensitivity, and glycemic control (A1c).
• Other assessments included the blood, lipid profile, blood urea nitrogen, blood urea nitrogen-to-creatinine ratio, and body weight.

TAKEAWAY:

• The study was completed by 18 participants in the vegan-diet group and 17 in the portion-controlled group.
• In the vegan group, the total daily dose of insulin decreased by 12.1 units/d (P = .007) and insulin sensitivity increased by 6.6 g of carbohydrate per unit of insulin on average (P = .002), with no significant changes in the portion-controlled diet group.
• Participants on the vegan diet had lower levels of total and low-density lipoprotein cholesterol and blood urea nitrogen and a lower blood urea nitrogen-to-creatinine ratio (P for all < .001), whereas both vegan and portion-controlled groups had lower A1c levels.
• Body weight decreased by 5.2 kg (P < .001) in the vegan group; there were no significant changes in the portion-controlled group.
• For every 1-kg weight loss, there was a 2.16-unit decrease in the insulin total daily dose and a 0.9-unit increase in insulin sensitivity.

IN PRACTICE:

“This study provides substantial support for a low-fat vegan diet that is high in fiber and carbohydrates, low in fat, and moderate in protein” and suggests the potential therapeutic use of this diet in type 1 diabetes management, the authors wrote.

SOURCE:

The study led by Hana Kahleova, MD, PhD, Physicians Committee for Responsible Medicine, Washington, was published in Clinical Diabetes.

LIMITATIONS:

Dietary intake was recorded on the basis of self-reported data. A higher attrition rate was observed due to meal and blood glucose monitoring. The findings may have limited generalizability as the study participants comprised those seeking help for T1D.

DISCLOSURES:

The study was supported by the Physicians Committee for Responsible Medicine and a grant from the Institute for Technology in Healthcare. Some authors reported receiving compensation, being cofounders of a coaching program, writing books, providing nutrition coaching, giving lectures, or receiving royalties and honoraria from various sources.

A version of this article appeared on Medscape.com.