Manasi Talwadekar

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.

TOPLINE:

Monthly cycles of a fasting-mimicking diet (FMD) may slow metabolic and immune system aging and reduce the risk for metabolic disease.

METHODOLOGY:

• In two clinical trials, monthly 5-day cycles of an FMD (a proprietary line of plant-based, low-calorie, and low-protein food products) showed lower body weight, body fat, and blood pressure at 3 months.
• Researchers assessed secondary outcomes for the impact of the diet on risk factors for metabolic syndrome and biomarkers associated with aging and age-related diseases.
• This study looked at data from nearly half of the original 184 participants (aged 18-70 years) from the two clinical trials who went through three to four monthly cycles, adhering to 5 days of an FMD in either a crossover design compared with a normal diet or an intervention group compared with people following a Mediterranean diet.
• Abdominal fat and hepatic fat were measured using an MRI in a subset of representative participants. The study also assessed metabolic blood markers and lipids and lymphoid-to-myeloid ratios (for immune aging).
• Biological age estimation was calculated from seven clinical chemistry measures, and life expectancy and mortality risk estimates and a simulation of continued FMD cycles were based on the National Health and Nutrition Examination Survey.

TAKEAWAY:

• In 15 volunteers measured by MRI, the body mass index (P = .0002), total body fat (P = .002), subcutaneous adipose tissue (P = .008), visceral adipose tissue (P = .002), and hepatic fat fraction (P = .049) reduced after the third FMD cycle, with a 50% reduction in liver fat for the five people with hepatic steatosis.
• In 11 participants with prediabetes, insulin resistance (measured by homeostatic model assessment) reduced from 1.473 to 1.209 (P = .046), while A1c levels dropped from 5.8 to 5.43 (P = .032) after the third FMD cycle.

• The lymphoid-to-myeloid ratio improved (P = .005) in all study participants receiving three FMD cycles, indicating an immune aging reversal.
• The estimated median biological age of the 86 participants who completed three FMD cycles in both trials decreased by nearly 2.5 years, independent of weight loss.

IN PRACTICE:

“Together our findings indicate that the FMD is a feasible periodic dietary intervention that reduces disease risk factors and biological age,” the authors wrote.

SOURCE:

The study, led by Sebastian Brandhorst, PhD, Leonard Davis School of Gerontology, University of Southern California (USC), Los Angeles, and Morgan E. Levine, PhD, Department of Pathology, Yale School of Medicine, New Haven, Connecticut, was published in Nature Communications.

LIMITATIONS:

The study estimated the effects of monthly FMD cycles based on results from two clinical trials and included a small subset of trial volunteers. By study measures, the cohort was healthier and biologically younger than average people of similar chronological age. Of the 86 participants, 24 who underwent FMD cycles exhibited increased biological age. The simulation did not consider compliance, dropout, mortality, or the bias that may arise owing to enthusiastic volunteers. Estimated risk reductions assume an effect of change in biological age, which hasn’t been proven. Projections from extending the effects of FMD to a lifelong intervention may require cautious interpretation.

DISCLOSURES:

The study was supported by the USC Edna Jones chair fund and funds from NIH/NIA and the Yale PEPPER Center. The experimental diet was provided by L-Nutra Inc. Some authors declared an equity interest in L-Nutra, with one author’s equity to be assigned to the nonprofit foundation Create Cures. Others disclosed no conflicts of interest.
 

A version of this article appeared on Medscape.com.

TOPLINE:

Monthly cycles of a fasting-mimicking diet (FMD) may slow metabolic and immune system aging and reduce the risk for metabolic disease.

METHODOLOGY:

• In two clinical trials, monthly 5-day cycles of an FMD (a proprietary line of plant-based, low-calorie, and low-protein food products) showed lower body weight, body fat, and blood pressure at 3 months.
• Researchers assessed secondary outcomes for the impact of the diet on risk factors for metabolic syndrome and biomarkers associated with aging and age-related diseases.
• This study looked at data from nearly half of the original 184 participants (aged 18-70 years) from the two clinical trials who went through three to four monthly cycles, adhering to 5 days of an FMD in either a crossover design compared with a normal diet or an intervention group compared with people following a Mediterranean diet.
• Abdominal fat and hepatic fat were measured using an MRI in a subset of representative participants. The study also assessed metabolic blood markers and lipids and lymphoid-to-myeloid ratios (for immune aging).
• Biological age estimation was calculated from seven clinical chemistry measures, and life expectancy and mortality risk estimates and a simulation of continued FMD cycles were based on the National Health and Nutrition Examination Survey.

TAKEAWAY:

• In 15 volunteers measured by MRI, the body mass index (P = .0002), total body fat (P = .002), subcutaneous adipose tissue (P = .008), visceral adipose tissue (P = .002), and hepatic fat fraction (P = .049) reduced after the third FMD cycle, with a 50% reduction in liver fat for the five people with hepatic steatosis.
• In 11 participants with prediabetes, insulin resistance (measured by homeostatic model assessment) reduced from 1.473 to 1.209 (P = .046), while A1c levels dropped from 5.8 to 5.43 (P = .032) after the third FMD cycle.

• The lymphoid-to-myeloid ratio improved (P = .005) in all study participants receiving three FMD cycles, indicating an immune aging reversal.
• The estimated median biological age of the 86 participants who completed three FMD cycles in both trials decreased by nearly 2.5 years, independent of weight loss.

IN PRACTICE:

“Together our findings indicate that the FMD is a feasible periodic dietary intervention that reduces disease risk factors and biological age,” the authors wrote.

SOURCE:

The study, led by Sebastian Brandhorst, PhD, Leonard Davis School of Gerontology, University of Southern California (USC), Los Angeles, and Morgan E. Levine, PhD, Department of Pathology, Yale School of Medicine, New Haven, Connecticut, was published in Nature Communications.

LIMITATIONS:

The study estimated the effects of monthly FMD cycles based on results from two clinical trials and included a small subset of trial volunteers. By study measures, the cohort was healthier and biologically younger than average people of similar chronological age. Of the 86 participants, 24 who underwent FMD cycles exhibited increased biological age. The simulation did not consider compliance, dropout, mortality, or the bias that may arise owing to enthusiastic volunteers. Estimated risk reductions assume an effect of change in biological age, which hasn’t been proven. Projections from extending the effects of FMD to a lifelong intervention may require cautious interpretation.

DISCLOSURES:

The study was supported by the USC Edna Jones chair fund and funds from NIH/NIA and the Yale PEPPER Center. The experimental diet was provided by L-Nutra Inc. Some authors declared an equity interest in L-Nutra, with one author’s equity to be assigned to the nonprofit foundation Create Cures. Others disclosed no conflicts of interest.
 

A version of this article appeared on Medscape.com.

TOPLINE:

Monthly cycles of a fasting-mimicking diet (FMD) may slow metabolic and immune system aging and reduce the risk for metabolic disease.

METHODOLOGY:

• In two clinical trials, monthly 5-day cycles of an FMD (a proprietary line of plant-based, low-calorie, and low-protein food products) showed lower body weight, body fat, and blood pressure at 3 months.
• Researchers assessed secondary outcomes for the impact of the diet on risk factors for metabolic syndrome and biomarkers associated with aging and age-related diseases.
• This study looked at data from nearly half of the original 184 participants (aged 18-70 years) from the two clinical trials who went through three to four monthly cycles, adhering to 5 days of an FMD in either a crossover design compared with a normal diet or an intervention group compared with people following a Mediterranean diet.
• Abdominal fat and hepatic fat were measured using an MRI in a subset of representative participants. The study also assessed metabolic blood markers and lipids and lymphoid-to-myeloid ratios (for immune aging).
• Biological age estimation was calculated from seven clinical chemistry measures, and life expectancy and mortality risk estimates and a simulation of continued FMD cycles were based on the National Health and Nutrition Examination Survey.

TAKEAWAY:

• In 15 volunteers measured by MRI, the body mass index (P = .0002), total body fat (P = .002), subcutaneous adipose tissue (P = .008), visceral adipose tissue (P = .002), and hepatic fat fraction (P = .049) reduced after the third FMD cycle, with a 50% reduction in liver fat for the five people with hepatic steatosis.
• In 11 participants with prediabetes, insulin resistance (measured by homeostatic model assessment) reduced from 1.473 to 1.209 (P = .046), while A1c levels dropped from 5.8 to 5.43 (P = .032) after the third FMD cycle.

• The lymphoid-to-myeloid ratio improved (P = .005) in all study participants receiving three FMD cycles, indicating an immune aging reversal.
• The estimated median biological age of the 86 participants who completed three FMD cycles in both trials decreased by nearly 2.5 years, independent of weight loss.

IN PRACTICE:

“Together our findings indicate that the FMD is a feasible periodic dietary intervention that reduces disease risk factors and biological age,” the authors wrote.

SOURCE:

The study, led by Sebastian Brandhorst, PhD, Leonard Davis School of Gerontology, University of Southern California (USC), Los Angeles, and Morgan E. Levine, PhD, Department of Pathology, Yale School of Medicine, New Haven, Connecticut, was published in Nature Communications.

LIMITATIONS:

The study estimated the effects of monthly FMD cycles based on results from two clinical trials and included a small subset of trial volunteers. By study measures, the cohort was healthier and biologically younger than average people of similar chronological age. Of the 86 participants, 24 who underwent FMD cycles exhibited increased biological age. The simulation did not consider compliance, dropout, mortality, or the bias that may arise owing to enthusiastic volunteers. Estimated risk reductions assume an effect of change in biological age, which hasn’t been proven. Projections from extending the effects of FMD to a lifelong intervention may require cautious interpretation.

DISCLOSURES:

The study was supported by the USC Edna Jones chair fund and funds from NIH/NIA and the Yale PEPPER Center. The experimental diet was provided by L-Nutra Inc. Some authors declared an equity interest in L-Nutra, with one author’s equity to be assigned to the nonprofit foundation Create Cures. Others disclosed no conflicts of interest.
 

A version of this article appeared on Medscape.com.

TOPLINE:

Long naps of an hour or more, naps in the morning, or regular siestas may increase blood glucose levels in older people with type 2 diabetes (T2D).

METHODOLOGY:

• Napping is common in China and other cultures and may play a role in cardiometabolic health, but previous studies on the relationship between napping and glycemic control in T2D have reported conflicting results.
• In a cross-sectional study, the researchers assessed 226 individuals with T2D (median age, 67 years; about half women; mostly retired) from two community healthcare centers in China between May 2023 and July 2023.
• Using questionnaires, the participants were evaluated for A1c levels, as well as frequency, duration (shorter or longer than 1 hour), timing, and type of napping behavior (restorative for lack of sleep vs appetitive by habit or for enjoyment).
• Multivariate analysis controlled for age, sex, body mass index, T2D treatment regimen, diabetes duration, cognitive impairment, depression, night sleep duration, and insomnia symptoms.

TAKEAWAY:

• Among 180 participants who reported napping, 61 (33.9%) took long naps of 60 minutes and more, 162 (90%) reported afternoon napping, and 131 (72.8%) displayed appetitive napping.
• Restorative napping was linked to lower A1c levels than appetitive napping (β, −0.176; P = 0.028).
• Napping frequency was not associated with A1c levels.

IN PRACTICE:

“In clinical practice, healthcare professionals may offer tips about napping, eg, taking a nap less than an hour, taking a nap in the afternoon instead of in the morning, avoiding appetitive napping,” the authors concluded.

SOURCE:

The study, from corresponding author Bingqian Zhu, PhD, of the Shanghai Jiao Tong University School of Nursing, Shanghai, was published in Frontiers in Endocrinology.

LIMITATIONS:

The participants were older individuals, mostly retired, who may have had less need for restorative napping and more time for appetitive napping, limiting generalizability. The sample size may have been too small to find a link to napping frequency. Self-reported data could introduce recall bias. Only A1c levels were used as a measure of glycemic control.

DISCLOSURES:

The study was supported by the National Natural Science Foundation of China and other sources. The authors declared no potential conflict of interest.

A version of this article appeared on Medscape.com.

TOPLINE:

Long naps of an hour or more, naps in the morning, or regular siestas may increase blood glucose levels in older people with type 2 diabetes (T2D).

METHODOLOGY:

• Napping is common in China and other cultures and may play a role in cardiometabolic health, but previous studies on the relationship between napping and glycemic control in T2D have reported conflicting results.
• In a cross-sectional study, the researchers assessed 226 individuals with T2D (median age, 67 years; about half women; mostly retired) from two community healthcare centers in China between May 2023 and July 2023.
• Using questionnaires, the participants were evaluated for A1c levels, as well as frequency, duration (shorter or longer than 1 hour), timing, and type of napping behavior (restorative for lack of sleep vs appetitive by habit or for enjoyment).
• Multivariate analysis controlled for age, sex, body mass index, T2D treatment regimen, diabetes duration, cognitive impairment, depression, night sleep duration, and insomnia symptoms.

TAKEAWAY:

• Among 180 participants who reported napping, 61 (33.9%) took long naps of 60 minutes and more, 162 (90%) reported afternoon napping, and 131 (72.8%) displayed appetitive napping.
• Restorative napping was linked to lower A1c levels than appetitive napping (β, −0.176; P = 0.028).
• Napping frequency was not associated with A1c levels.

IN PRACTICE:

“In clinical practice, healthcare professionals may offer tips about napping, eg, taking a nap less than an hour, taking a nap in the afternoon instead of in the morning, avoiding appetitive napping,” the authors concluded.

SOURCE:

The study, from corresponding author Bingqian Zhu, PhD, of the Shanghai Jiao Tong University School of Nursing, Shanghai, was published in Frontiers in Endocrinology.

LIMITATIONS:

The participants were older individuals, mostly retired, who may have had less need for restorative napping and more time for appetitive napping, limiting generalizability. The sample size may have been too small to find a link to napping frequency. Self-reported data could introduce recall bias. Only A1c levels were used as a measure of glycemic control.

DISCLOSURES:

The study was supported by the National Natural Science Foundation of China and other sources. The authors declared no potential conflict of interest.

A version of this article appeared on Medscape.com.

TOPLINE:

Long naps of an hour or more, naps in the morning, or regular siestas may increase blood glucose levels in older people with type 2 diabetes (T2D).

METHODOLOGY:

• Napping is common in China and other cultures and may play a role in cardiometabolic health, but previous studies on the relationship between napping and glycemic control in T2D have reported conflicting results.
• In a cross-sectional study, the researchers assessed 226 individuals with T2D (median age, 67 years; about half women; mostly retired) from two community healthcare centers in China between May 2023 and July 2023.
• Using questionnaires, the participants were evaluated for A1c levels, as well as frequency, duration (shorter or longer than 1 hour), timing, and type of napping behavior (restorative for lack of sleep vs appetitive by habit or for enjoyment).
• Multivariate analysis controlled for age, sex, body mass index, T2D treatment regimen, diabetes duration, cognitive impairment, depression, night sleep duration, and insomnia symptoms.

TAKEAWAY:

• Among 180 participants who reported napping, 61 (33.9%) took long naps of 60 minutes and more, 162 (90%) reported afternoon napping, and 131 (72.8%) displayed appetitive napping.
• Restorative napping was linked to lower A1c levels than appetitive napping (β, −0.176; P = 0.028).
• Napping frequency was not associated with A1c levels.

IN PRACTICE:

“In clinical practice, healthcare professionals may offer tips about napping, eg, taking a nap less than an hour, taking a nap in the afternoon instead of in the morning, avoiding appetitive napping,” the authors concluded.

SOURCE:

The study, from corresponding author Bingqian Zhu, PhD, of the Shanghai Jiao Tong University School of Nursing, Shanghai, was published in Frontiers in Endocrinology.

LIMITATIONS:

The participants were older individuals, mostly retired, who may have had less need for restorative napping and more time for appetitive napping, limiting generalizability. The sample size may have been too small to find a link to napping frequency. Self-reported data could introduce recall bias. Only A1c levels were used as a measure of glycemic control.

DISCLOSURES:

The study was supported by the National Natural Science Foundation of China and other sources. The authors declared no potential conflict of interest.

A version of this article appeared on Medscape.com.