Navigating the Predictive Landscape: DiaRem's Role in Unveiling Outcomes for Diabetes Remission following ESG.

PURPOSE: Rising obesity and type 2 diabetes mellitus (T2DM) rates can be mitigated by various strategies, with a 10% total body weight loss (TBWL) threshold often required for T2DM remission. T2DM remission rates after bariatric surgery like Roux-en-Y gastric bypass (RYGB) are well established; endoscopic sleeve gastroplasty (ESG) is a less invasive option that averages 15% TBWL and allows for T2DM remission. This study explores the DiaRem (Diabetes Remission post-RYGB) score's ability to predict T2DM remission 1-year post-ESG. MATERIALS AND METHODS: We conducted a retrospective cohort study on 39 individuals with T2DM who underwent ESG. Age, utilization of diabetes medications, insulin administration, and hemoglobin A1c levels were used to calculate the DiaRem score. The area under the receiver operating characteristic curve (AUC) was employed to evaluate the discriminative ability of DiaRem in distinguishing diabetes remission. RESULTS: Among the 39 patients with a median hemoglobin A1c of 6.7, 12.8% required insulin, and 43.6% used diabetes medication. At 1-year post-ESG, 69.2% of patients experienced diabetes remission with a median %TWBL of 12.7. The DiaRem score's ability to detect diabetes resolution for ESG patients had a sensitivity of 100% and a specificity of 58.3%, at the optimal cutoff value of 10. The AUC was 0.779 (95% CI 0.546-0.959). CONCLUSION: Our study demonstrated the DiaRem score's predictive value for T2DM remission post-ESG, highlighting its utility in clinical decision-making for ESG-related outcomes. Further investigation is needed to identify alternative indicators that may enhance predictive accuracy, thus refining personalized decision-making for this patient group.

Management of Medication-Induced Weight Gain.

Several medications can contribute to weight gain. Medication-induced weight gain can have severe health consequences leading to overweight or obesity, or exacerbation of preexisting obesity and the plethora of obesity-related comorbidities. Weight gain due to medications is potentially avoidable by prescribing medications that are either weight neutral or that lead to weight loss, when appropriate. This article reviews the common classes of medications that contribute to weight gain and discusses alternatives to consider.

Medical weight management protects against weight gain during the COVID-19 pandemic.

Background: American adults have gained weight during the COVID-19 pandemic. Little is known about how patients who are medically managed for overweight and obesity, including patients who are prescribed antiobesity pharmacotherapy, have fared. Objective: To assess the COVID-19 pandemic's effect on weight, food choices, and health behaviors in patients receiving medical treatment for overweight or obesity. Methods: Adult patients treated at an urban academic weight management center between 1 May 2019 and 1 May 2020 were electronically surveyed between 23 February and 23 March 2021. The survey assessed changes in weight, eating, behaviors, and the use of antiobesity medications (AOMs) following issuance of social distancing/stay-at-home policies in March 2020. Results: In 970 respondents, median percent weight change for those taking AOMs was -0.459% [interquartile range -5.46%-(+3.73%)] compared to +2.33% [IQR -1.92%-(+6.52%)] for those not taking AOMs (p < 0.001). More participants achieved ≥5% weight loss if they were taking AOMs compared to those who were not (26.7% vs. 15.8%, p = 0.004), and weight gain ≥5% was also lower in those taking AOMs (19.8% vs. 30.3%, p = 0.004). Patients with pre-pandemic BMI ≥30 kg/m2 taking AOMs experienced the greatest weight reduction, and there was greater weight loss associated with increased physical activity. Conclusions and Relevance: Medical weight management protected against weight gain during this period of the COVID-19 pandemic. Increased physical activity, decreased alcohol intake, and use of AOMs were factors that contributed to this protective effect.

Management of Weight Regain Following Bariatric Surgery: Behavioral Intervention and Pharmacotherapy.

INTRODUCTION: Bariatric surgery is the most effective intervention currently available for significant and durable weight loss, but weight regain after surgery is not uncommon. This paper focuses on updates in behavioral interventions and pharmacotherapy to combat weight regain after bariatric surgery. AREAS COVERED: This paper critically reviews both prospective and retrospective studies assessing pharmacotherapy in post-bariatric surgical patients published within the past 5 years. It also evaluates updates in behavioral therapies and delivery of the therapies in this patient population. EXPERT OPINION: Weight regain after bariatric surgery is common. Patients who experience weight regain should be evaluated and treated by a multidisciplinary team. Antiobesity pharmacotherapy should be considered for those who qualify as an adjunct to lifestyle modifications, along with behavioral interventions such as cognitive behavioral therapy.

Utility of BMIQ, a novel web-based weight management programme, at an academic weight management centre.

BACKGROUND: BMIQ is a customizable online platform used to deliver evidence-based behavioural management that complements office visits with healthcare providers. BMIQ offers educational materials, meal plans and tracking tools for patients, and remote monitoring and guidance for physicians. In this retrospective chart review, the implementation and utility of BMIQ was assessed in patients treated at the Comprehensive Weight Control Center (CWCC) at Weill Cornell Medicine. METHODS: The study included all new patients seen at the CWCC between 9/1/2016 and 6/1/2017 who enrolled in BMIQ. Use of BMIQ was assessed by the number of enrolled patients who activated their account and viewed BMIQ sessions. Demographics, comorbidities, medications, and weight change during 6-month follow-up were obtained from the electronic medical records. RESULTS: Of the 495 new patients enrolled in BMIQ, 217 met the inclusion criteria of 6-month follow-up. The mean age was 50.2 (±13.1) and 72% (n = 157) were female. Sixty-four percent (n = 138) activated their BMIQ account and viewed greater than or equal to 1 BMIQ session. The average number of physician and registered dietitian visits were 3.5 (±1.1) and 1.9 (±1.6), respectively. The average number of weight loss medications was 1.6 with metformin being the most commonly prescribed (76%). Mean weight loss at 6 months was 7.0 ± 5.9%; 59% achieved greater than or equal to 5% weight loss and 28% achieved greater than or equal to 10% weight loss. The total number of physician visits and weight-loss pharmacotherapies used were significant predictors of patients achieving greater than or equal to 5% weight loss. Regular BMIQ usage was an independent predictor of patients achieving both greater than or equal to 5% and greater than or equal to 10% weight loss at 6 months. CONCLUSION: Clinically significant weight loss was achieved in the majority of patients with limited in-clinic physician and registered dietitian follow-up in combination with BMIQ. This retrospective study demonstrates the utility of online behavioural therapy as part of a medical weight management intervention.

Obesity: When to consider surgery.

Bariatric surgery is underutilized despite an obesity epidemic. Here, 3 patients pursue a surgical option when they can't reach their target weight and optimal health by nonsurgical means.

Baseline predictors of efavirenz-containing antiretroviral regimen adverse experiences.

PURPOSE: We aimed to identify modifiable, routinely available patient characteristics associated with adverse experiences potentially attributable to efavirenz-based regimens in patients in Botswana. METHODS: HIV-infected treatment naïve individuals starting a standard antiretroviral regimen including two nucleoside analog reverse transcriptase inhibitors and efavirenz in Botswana were enrolled in a prospective cohort. Adverse experiences were measured at 1 and 6 months using the efavirenz checklist, a 35-item instrument developed by the AIDS Clinical Trials Group. RESULTS: We enrolled 232 patients from 11 March 2010 to 17 March 2011. One hundred ninety-six were included in the month 1 analyses. Of the 196 included in the month 1 analyses, 157 (80%) completed the 6-month follow-up. Median efavirenz checklist score was 6 (interquartile range (IQR): 2-15) at month 1 and 1 (IQR: 0-5) at month 6. The median change in efavirenz checklist score from month 1-6 was -4 (IQR: -11 to -1), representing an improvement. Depressive symptoms, low CD4 count and less alcohol use were associated with improvement in adverse experiences over time. Low weight was associated with increased extent of adverse experiences at month 1 and 6. There was no confounding or effect modification. CONCLUSIONS: Clinicians may want to consider more intensive and tailored adverse experience education and management in patients based on depressive symptoms, CD4 count, and weight. Further assessment of the mechanism of the effect of alcohol use on adverse experiences, including analysis of CYP2B6 genotype and plasma efavirenz concentrations, is warranted.