Effectiveness of Combining Antiobesity Medication With an Employer-Based Weight Management Program for Treatment of Obesity: A Randomized Clinical Trial

Work loss among privately insured employees with overweight and obesity in the United States

Background

Rising obesity rates in the workforce are accompanied by a hidden cost burden to employers due to work productivity loss. Understanding the impact of obesity on work productivity is essential for employers to provide tailored weight loss interventions in the workplace.

Objectives

To measure work loss and associated productivity costs among employees with overweight/obesity compared with employees with normal weight.

Methods

This retrospective cohort study used the MerativeTM MarketScan® Health and Productivity Management Database to identify adult employees with ≥1 diagnosis code reporting a body mass index (BMI) between 1/1/2015-12/31/2019. Based on the earliest BMI, employees were assigned to normal weight (BMI 19-24.9), overweight (BMI 25-29.9), obesity class 1 (BMI 30-34.9), obesity class 2 (BMI 35-39.9), and obesity class 3 (BMI ≥40) cohorts. Among employees with data for each work loss category (absenteeism, short-term disability [STD], long-term disability [LTD], worker's compensation [WC]) during the 12-month follow-up, the percentage of employees with work loss, number of hours/days lost, and associated productivity costs were reported.

Results

719,482 employees (normal weight: 106,631, overweight: 230,637, obesity class 1: 185,850, obesity class 2: 101,909, obesity class 3: 94,455) were included. Outcomes increased with each higher BMI category for the mean number of absence hours ([in order of BMI category]: 262, 273, 285, 290, 304) and percentage of employees with a claim (STD: 6.8%, 7.6%, 9.7%, 11.7%, 17.0%; LTD: 0.4%, 0.4%, 0.5%, 0.6%, 0.8%; WC: 2.7%, 2.8%, 3.4%, 3.6%, 3.5%). Estimated costs to the employer associated with absenteeism, STD, LTD, and WC were $1,036, $611, $38, and $95 higher per year (respectively) in the obesity class 3 cohort relative to the normal weight cohort.

Conclusions

This real-world analysis demonstrated that employees with overweight/obesity had higher loss of work productivity compared with employees with normal weight. Further studies are warranted to determine the long-term impacts on work productivity loss if overweight and obesity are left untreated.

Liraglutide 3.0 mg in the treatment of adults with obesity and prediabetes using real-world UK data: A clinical evaluation of a multi-ethnic population

UK guidelines recommend liraglutide 3.0 mg in adults treated within specialist weight management services with BMI ≥35 kg/m2, prediabetes and high cardiovascular disease risk. We aimed to clinically evaluate liraglutide 3.0 mg in specialist weight management services. We evaluated liraglutide 3.0 mg in weight management services at Guys and St Thomas' NHS Foundation Trust. Objective body weight (BW) was measured at baseline and 4 months, allowing classification as 'responders' (≥5% BW reduction) and 'non-responders' (<5% BW reduction). One hundred and twenty-one patients were evaluated. At 4 months, 76.0% attended follow-up (82.6% responders, 17.4% non-responders); BW (-8.6 kg, 95%CI:-9.8, -7.4 kg), BMI (-3.2 kg/m2, 95%CI: -3.6, -2.8) and %-BW (-6.6%, IQR: -8.8%, -5.2%) significantly reduced. In responders, HbA1c reduced by -5.0 mmol/mol (IQR: -7.0. -4.0 mmol/mol). In responders BW continued to reduce up to 12 months (4 m: -10.2 kg, p < .0001; 6 m: -15.6 kg, p < .0001; 9 m: -16.5 kg, p < .0001; 12 m: -16.7 kg, p < .01). Those of Black African and Caribbean ethnicity experienced less BW loss than those of white ethnicity (4.12 kg, p = .017) and had a greater attrition rate. In adults with obesity and prediabetes who are treated within specialist weight management services, liraglutide 3.0 mg reduces BW and HbA1c. Those of Black African and Caribbean ethnicity experienced less BW reduction and greater attrition at 4 months. Further evaluation of the ethnic differences in response to obesity pharmacotherapy is required.

An Obesity-Centric Approach with and Without Anti-Obesity Medications Compared to the Usual-Care Approach to Management of Patients with Obesity and Type 2 Diabetes in an Employer Setting: A Pragmatic Randomized Controlled Trial (EMPOWER-T2D)

INTRODUCTION

This study aimed to compare weight loss and glycated hemoglobin (HbA1c)-reduction effects of two obesity-centric, weight-loss management approaches (with or without anti-obesity medication) versus usual glucose-centric care in patients with obesity and type 2 diabetes.

METHODS

Single-center, randomized, open-label, 3-armed, parallel-group, pragmatic, noninferiority trial, July 2020 to August 2022. Adults enrolled in the Cleveland Clinic Employee Health Plan (body mass index [BMI] ≥ 30 kg/m2, type 2 diabetes diagnosis, HbA1c > 7.5%) were randomized to usual glucose-centric management ("Usual-Care" group) or one of two obesity-centric management strategies: participation in a weight management program plus anti-obesity medication ("WMP + AOM" group), or WMP participation without anti-obesity medication ("WMP-Only" group). Primary endpoints were changes in weight and HbA1c, baseline to month 12.

RESULTS

Due to enrollment and retention challenges, largely related to COVID-19, only 74/300 planned participants were randomized and the study was terminated early. Participants were predominantly female (59%), median (interquartile range [IQR]) age 53.5 (47, 60) years, 68% white, with baseline median (IQR) BMI and HbA1c of 37.4 (34.2, 42.7) kg/m2 and 8.8% (7.9%, 10.4%), respectively. At month 12, mean (90% confidence interval [CI]) percentage weight change in the Usual-Care, WMP-Only, and WMP + AOM groups was - 4.5% (- 6.5%, - 2.5%), - 6.7% (- 8.7%, - 4.7%), and - 8.7% (- 10.7%, - 6.8%), respectively; mean (90% CI) HbA1c change was - 1.7% (- 2.1%, - 1.2%), - 2.2% (- 2.7%, - 1.8%), and - 2.2% (- 2.6%, - 1.7%), respectively. WMP + AOM was superior to Usual-Care for weight change (P = 0.02); both WMP + AOM and WMP-Only were noninferior (P ≤ 0.01) to Usual-Care for change in HbA1c.

CONCLUSIONS

Including anti-obesity medication was associated with superior weight loss with noninferior HbA1c reductions, warranting further evaluation in larger study populations of obesity-focused approaches to type 2 diabetes management. Graphical abstract available for this article.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03799198.

Nanomodulator-Mediated Restructuring of Adipose Tissue Immune Microenvironments for Antiobesity Treatment

In obesity, the interactions between proinflammatory macrophages and adipocytes in white adipose tissues are known to play a crucial role in disease progression by providing inflammatory microenvironments. Here, we report that the functional nanoparticle-mediated modulation of crosstalk between adipocytes and macrophages can remodel adipocyte immune microenvironments. As a functional nanomodulator, we designed antivascular cell adhesion molecule (VCAM)-1 antibody-conjugated and amlexanox-loaded polydopamine nanoparticles (VAPN). Amlexanox was used as a model drug to increase energy expenditure. Compared to nanoparticles lacking antibody modification or amlexanox, VAPN showed significantly greater binding to VCAM-1-expressing adipocytes and lowered the interaction of adipocytes with macrophages. In high fat diet-fed mice, repeated subcutaneous administration of VAPN increased the populations of beige adipocytes and ameliorated inflammation in white adipose tissues. Moreover, the localized application of VAPN in vivo exerted a systemic metabolic effect and reduced metabolic disorders, including insulin tolerance and liver steatosis. These findings suggested that VAPN had potential to modulate the immune microenvironments of adipose tissues for the immunologic treatment of obesity. Although we used amlexanox as a model drug and anti-VCAM-1 antibody in VAPN, the concept of immune nanomodulators can be widely applied to the immunological treatment of obesity.

Weight Loss Interventions for Adults With Obesity-Related Asthma

Obesity is a common asthma comorbidity in adults, contributing to higher patient morbidity and mortality. Conversely, weight loss can reduce the impact of obesity on asthma and improve patient outcomes by diverse mechanisms including modulating airway inflammation, reducing oxidative stress, and improving lung function. Multiple lifestyle, nonpharmacological, pharmacological, and surgical interventions are effective at reducing weight in the general population. Fewer have been studied specifically in the context of patients with asthma. However, increasingly effective pharmacologic options for weight loss highlight the need for allergists and pulmonologists to understand the range of approaches that may directly or indirectly yield clinical benefits in asthma management. Weight loss interventions often require multidisciplinary support to create strategies that can realistically achieve a patient's personalized asthma and weight goals. This includes minimizing the adverse weight effects of glucocorticoids, which remain a mainstay of asthma management. Disparities in access, cost, and insurance coverage of weight loss interventions remain acute challenges for providers and patients. Future studies are needed to elucidate mechanisms of action of specific weight loss interventions on short-term and long-term asthma outcomes.

Effectiveness and safety of drugs for obesity

Recent publicity around the use of new antiobesity medications (AOMs) has focused the attention of patients and healthcare providers on the role of pharmacotherapy in the treatment of obesity. Newer drug treatments have shown greater efficacy and safety compared with older drug treatments, yet access to these drug treatments is limited by providers' discomfort in prescribing, bias, and stigma around obesity, as well as by the lack of insurance coverage. Now more than ever, healthcare providers must be able to discuss the risks and benefits of the full range of antiobesity medications available to patients, and to incorporate both guideline based advice and emerging real world clinical evidence into daily clinical practice. The tremendous variability in response to antiobesity medications means that clinicians need to use a flexible approach that takes advantage of specific features of the antiobesity medication selected to provide the best option for individual patients. Future research is needed on how best to use available drug treatments in real world practice settings, the potential role of combination therapies, and the cost effectiveness of antiobesity medications. Several new drug treatments are being evaluated in ongoing clinical trials, suggesting that the future for pharmacotherapy of obesity is bright.

Real World Use of Anti-Obesity Medications and Weight Change in Veterans

BACKGROUND

Anti-obesity medications (AOMs) can be initiated in conjunction with participation in the VA national behavioral weight management program, MOVE!, to help achieve clinically meaningful weight loss.

OBJECTIVE

To compare weight change between Veterans who used AOM + MOVE! versus MOVE! alone and examine AOM use, duration, and characteristics associated with longer duration of use.

DESIGN

Retrospective cohort study using VA electronic health records.

PARTICIPANTS

Veterans with overweight or obesity who participated in MOVE! from 2008-2017.

MAIN MEASURES

Weight change from baseline was estimated using marginal structural models up to 24 months after MOVE! initiation. The probability of longer duration of AOM use (≥ 180 days) was estimated via a generalized linear mixed model.

RESULTS

Among MOVE! participants, 8,517 (1.6%) used an AOM within 24 months after MOVE! initiation with a median of 90 days of cumulative supply. AOM + MOVE! users achieved greater weight loss than MOVE! alone users at 6 (3.2% vs. 1.6%, p < 0.001), 12 (3.4% vs. 1.4%, p < 0.001), and 24 months (2.7% vs. 1.5%, p < 0.001), and had a greater probability of achieving ≥ 5% weight loss at 6 (38.8% vs. 26.0%, p < 0.001), 12 (43.1% vs. 28.4%, p < 0.001), and 24 months (40.4% vs. 33.3%, p < 0.001). Veterans were more likely to have ≥ 180 days of supply if they were older, exempt from medication copays, used other medications with significant weight-gain, significant weight-loss, or modest weight-loss side effects, or resided in the West North Central or Pacific regions. Veterans were less likely to have ≥ 180 days of AOM supply if they had diabetes or initiated MOVE! later in the study period.

CONCLUSIONS

AOM use following MOVE! initiation was uncommon, and exposure was time-limited. AOM + MOVE! was associated with a higher probability of achieving clinically significant weight loss than MOVE! alone.

Pancreatic lipase and its related proteins: where are we now?

Obesity is a disease of epidemic proportions, with a worrisome upward trend. The high consumption of lipids, a major energy source, leads to obesity because of their high calorific value. Pancreatic lipase (PTL), produced by pancreatic acinar cells, hydrolyzes 50-70% of triacylglycerol (TAG) from food. PTL-related protein 1 (PLRP1) and 2 (PLRP2) are also produced by these cells. In vertebrates, PLRP1 has relatively less lipolytic activity, whereas PLRP2 has an essential role in lipid digestion, especially in infants. In this review, we summarize the structure and function of PTL, PLRP1, and PLRP2, and the metabolic fate of PTL inhibitors. We also discuss the current status of clinical trials on orlistat and its combinations for obesity treatment.

Factors contributing to whether or not people with obesity undergo bariatric surgery

BACKGROUND

Bariatric surgery has been suggested as a safe and effective way to treat obesity by facilitating weight loss, but factors that predict the likelihood of bariatric surgery are unknown. The objective of this study was to describe factors associated with individuals with obesity that influence their decision to undergo bariatric surgery.

SUBJECTS AND METHODS

The study design was a cross-sectional study and participants were recruited via a survey link posted on the Obesity Action Coalition website. Demographic data, medical data, weight loss program data, and reports of personal experiences were gathered via an online survey. A multivariate logistic regression model was conducted to examine predictors associated with bariatric surgery (N = 4192).

RESULTS

Participants who took phentermine (OR=2.983), Phentermine-topiramate (Qsymia) (OR=2.863), Naltrexone-bupropion (Contrave) (OR=3.246), or Liraglutide (Saxenda) (OR=2.144) had a higher likelihood of undergoing bariatric surgery for weight loss. Participants with type 2 diabetes (OR=1.728), post-traumatic stress disorder (PTSD) (OR=1.489), or COVID-19 (OR=3.852) had a higher likelihood of undergoing bariatric surgery while sleep apnea (OR=0.760) was associated with a lower likelihood of receiving surgery. Those who used MyFitnessPal™ (OR=2.232), Noom™ (OR=1.400), Jenny Craig™ (OR=1.533), or Keto (OR=1.664) for weight loss had a higher likelihood of obtaining bariatric surgery. Personal trauma experiences of sexual abuse (OR=1.982) and physical abuse (OR=1.490) were more associated with participants who underwent surgery.

CONCLUSIONS

A variety of characteristics were associated with decisions to undergo bariatric surgery. These findings may help to determine ways to support individuals who are considering bariatric surgery.

Impact of a Community-Based Weight Management Program in a North Carolina Health Care System

BACKGROUND AND OBJECTIVES

Current strategies for obesity management in primary care leave many patients inadequately treated or unable to access treatment entirely. We aimed to evaluate a comprehensive, primary care clinic-based weight management program's clinical effectiveness in a community practice setting.  Methods:  This was an 18-month pre/postintervention study. We collected demographic and anthropometric data on patients enrolled in a primary care-based weight management program. The primary outcomes were percent weight loss postintervention and the proportion of patients who achieved a clinically significant total body weight loss (TBWL) of 5% or greater.  Results:  Our program served 550 patients over 1,952 visits from March 2019 through October 2020. A total of 209 patients had adequate program exposure, defined as four or more completed visits. Among these, all received targeted lifestyle counseling and 78% received antiobesity medication. Patients who attended at least four visits had an average TBWL of 5.7% compared to an average gain of 1.5% total body weight for those with only one visit. Fifty-three percent of patients (n=111) achieved greater than 5% TBWL, and 20% (n=43) achieved greater than 10% TBWL.

CONCLUSION

We demonstrated that a community-based weight management program delivered by obesity medicine-trained primary care providers effectively produces clinically significant weight loss. Future work will include wider implementation of this model to increase patient access to evidence-based obesity treatments in their communities.

Clinical and Cost Benefits of Anti-Obesity Medication for US Veterans Participating in the MOVE! Weight Management Program

Abstract This study investigated the clinical and economic impact of anti-obesity medications (AOMs; orlistat, liraglutide, phentermine/topiramate extended-release [ER], naltrexone ER/bupropion ER) among United States Veterans with obesity participating in Motivating Overweight/Obese Veterans Everywhere! (MOVE!), a government-initiated weight management program. The study population was identified from electronic medical records of the Veterans Health Administration (2010-2020). Clinical indices of obesity and health care resource utilization and costs were evaluated at 6, 12, and 24 months after the initial dispensing of an AOM in the AOM+MOVE! cohort (N = 3732, mean age 57 years, 79% male) or on the corresponding date of an inpatient or outpatient encounter in the MOVE! cohort (N = 7883, mean age 58 years, 81% male). At 6 months postindex, the AOM+MOVE! cohort had better cardiometabolic indices (eg, systolic blood pressure, diastolic blood pressure, total cholesterol, low-density lipoprotein cholesterol, hemoglobin A1c) than the MOVE! cohort, with the trends persisting at 12 and 24 months. The AOM+MOVE! cohort was significantly more likely than the MOVE! cohort to have weight decreases of 5%-10%, 10%-15%, and >15% and lower body mass index at 6, 12, and 24 months. The AOM+MOVE! cohort also had fewer inpatient and emergency department visits than the MOVE! cohort, which was associated with lower mean total medical costs including inpatient costs. These results suggest that combining AOM treatment with the MOVE! program could yield long-term cost savings for the Veterans Affairs network and meaningful clinical improvements for Veterans with obesity.

The use of virtual visits for obesity pharmacotherapy in patients with overweight or obesity compared with in-person encounters

OBJECTIVE

This study aimed to demonstrate noninferiority using telehealth in treating obesity with phentermine in patients with BMI ≥ 27 kg/m² with comorbidities or BMI ≥ 30 compared with the standard in-person approach over a 90-day period.

METHODS

A 12-week, randomized, prospective, single-center, open label trial compared the use of virtual visits versus in-person visits for the treatment of obesity using phentermine. The primary end point was percentage mean change in body weight from baseline to 12 weeks. A noninferiority approach assuming a 3% noninferiority region was used to assess effect size differences.

RESULTS

The weight loss in the virtual visit arm was noninferior to the in-person arm at all time points. At 12 weeks, the mean change in weight was -6.5% among the virtual group and -7.7% among the in-person group. In addition, 65% of virtual patients and 71% of in-person patients demonstrated a weight reduction of at least 5%. There was no difference in medication tolerance, adherence, and compliance.

CONCLUSIONS

These results indicate that the virtual obesity pharmacotherapy visits in adults aged 18 to 65 years prescribed phentermine are effective and noninferior in achieving meaningful weight loss after 12 weeks. Future clinical trials are needed to better assess the effectiveness of televisits for obesity pharmacotherapy.

The Related Metabolic Diseases and Treatments of Obesity

Obesity is a chronic disease characterized by the abnormal or excessive accumulation of body fat, affecting more than 1 billion people worldwide. Obesity is commonly associated with other metabolic disorders, such as type 2 diabetes, non-alcoholic fatty liver disease, cardiovascular diseases, chronic kidney disease, and cancers. Factors such as a sedentary lifestyle, overnutrition, socioeconomic status, and other environmental and genetic conditions can cause obesity. Many molecules and signaling pathways are involved in the pathogenesis of obesity, such as nuclear factor (NF)-κB, Toll-like receptors (TLRs), adhesion molecules, G protein-coupled receptors (GPCRs), programmed cell death 1 (PD-1)/programmed death-ligand 1 (PD-L1), and sirtuin 1 (SIRT1). Commonly used strategies of obesity management and treatment include exercise and dietary change or restriction for the early stage of obesity, bariatric surgery for server obesity, and Food and Drug Administration (FDA)-approved medicines such as semaglutide and liraglutide that can be used as monotherapy or as a synergistic treatment. In addition, psychological management, especially for patients with obesity and distress, is a good option. Gut microbiota plays an important role in obesity and its comorbidities, and gut microbial reprogramming by fecal microbiota transplantation (FMT), probiotics, prebiotics, or synbiotics shows promising potential in obesity and metabolic syndrome. Many clinical trials are ongoing to evaluate the therapeutic effects of different treatments. Currently, prevention and early treatment of obesity are the best options to prevent its progression to many comorbidities.

Clinical interventions to break the obesity and cancer link: a narrative review

Excess body weight is a significant risk factor for the development and recurrence of many types of cancer. Patients with a history or current diagnosis of cancer who are overweight or have obesity have an increased risk of cancer treatment-related morbidity, recurrence, and decreased quality of life. Weight loss and maintenance of a healthy body weight may reduce cancer morbidity and recurrence in cancer survivors. While guidelines for cancer survivorship elaborate sufficiently on lifestyle interventions, little guidance is provided when considering additional therapies like anti-obesity pharmacotherapy or bariatric surgery for weight loss. This review will highlight and address current recommendations and feasible interventions that clinicians may consider to further reduce the incidence and recurrence of cancer in patients with obesity.