Tirzepatide reduces the predicted risk of atherosclerotic cardiovascular disease and improves cardiometabolic risk factors in adults with obesity or overweight: SURMOUNT-1 post hoc analysis.

AIM: To assess the effect of tirzepatide on long-term risk of atherosclerotic cardiovascular disease (ASCVD) among people with obesity or overweight without diabetes from SURMOUNT-1. MATERIALS AND METHODS: SURMOUNT-1, a phase 3 trial, evaluated the efficacy and safety of tirzepatide in adults with body mass index ≥30 or ≥27 kg/m2 and at least one weight-related complication, excluding diabetes. Participants were randomly assigned to tirzepatide (5/10/15 mg) or placebo. Changes from baseline in cardiometabolic variables were assessed. The predicted 10-year ASCVD risk scores were calculated (American College of Cardiology/American Heart Association risk engine) at baseline, week 24, and week 72 in SURMOUNT-1 participants without a history of ASCVD. Percent change in risk scores from baseline to weeks 24 and 72 was compared between tirzepatide and placebo using mixed model for repeated measures analysis. Analyses were also conducted in participants with intermediate to high risk at baseline. RESULTS: Tirzepatide-treated groups demonstrated reductions in cardiometabolic variables over 72 weeks. In participants without a history of ASCVD (N = 2461), the baseline median risk score was low and did not differ across groups (1.5%-1.6%). Relative change in risk from baseline to week 72 was greater for tirzepatide (-23.5% to -16.4%) than placebo (12.7%; P < 0.001). Relative change among participants with intermediate-to-high baseline risk was significantly greater for tirzepatide (P < 0.05). Intermediate-to-high-risk participants demonstrated similar relative change but greater absolute risk reduction compared to the overall population. CONCLUSION: Tirzepatide treatment significantly reduced the 10-year predicted risk of ASCVD versus placebo in patients with obesity or overweight without diabetes.

Weight-Reduction Preferences Among OBSERVE Study Participants With Obesity or Overweight: Opportunities for Shared Decision-Making.

OBJECTIVE: Limited recent evidence exists regarding weight-reduction preferences among people with obesity in the United States (US). We assessed preferred magnitudes of weight reduction among adults with obesity and how these preferences differ by participant characteristics. METHODS: The Perceptions, Barriers, and Opportunities for Anti-obesity Medications in Obesity Care: A Survey of Patients, Providers and Employers was a cross-sectional study assessing perceptions of obesity and anti-obesity medications among people with obesity, healthcare providers, and employers in the US. Adults with obesity and overweight with obesity-related complications self-reported current weight and weight they associated with 5 preferences ("dream," "goal," "happy," "acceptable," and "disappointed.") Preferred percent weight reductions for each preference were calculated. Multivariable regression analyses were performed identifying associations between weight-reduction preferences and participant characteristics. RESULTS: The study included 1007 participants (women: 63.6%; White: 41.0%; Black or African American: 28.9%; Asian: 6.5%; Hispanic: 15.3%; and median body mass index (BMI): 34.2 kg/m2). Median preferred percent weight reductions were dream = 23.5%; goal = 16.7%; happy = 14.6%; acceptable = 10.3%; and disappointed = 4.8%. Women reported higher preferred weight reductions than men. Preferred weight reductions among Black/African American participants were lower than White participants. Regression analyses indicated significant associations, with higher preferred magnitudes of weight reduction within females, higher weight self-stigma, and BMI class in Hispanic participants compared to White. CONCLUSION: In this large, real-world study, preferred magnitudes of weight reduction exceeded outcomes typically achieved with established nonsurgical obesity treatments but may be attained with bariatric procedures and newer and emerging anti-obesity medications. Respecting patients' preferences for treatment goals with obesity management could help support shared decision-making. Evaluating for an individual's contributors to weight preferences, such as weight self-stigma, can further benefit holistic obesity care.

Clinical, economic, and health-related quality of life outcomes in patients with overweight or obesity in the United States: 2016-2018.

Objectives: This study aimed to estimate clinical, economic (including productivity), and health-related quality of life (HRQoL) outcomes and associated individual characteristics among adults with overweight (OW) or obesity in the United States. Methods: This study included adult respondents with body mass index (BMI) ≥18.5 kg/m2 in the 2017-2018 National Health and Nutrition Examination Survey (NHANES) and 2016 Medical Expenditure Panel Survey. Respondents were classified according to BMI. Individual characteristics were described by BMI categories. Multivariable regression models estimated the association between BMI categories and outcomes, adjusting for individual characteristics. Results: Nearly three-quarters (73.7%) of NHANES participants were OW or obese. Relative to Normal weight (NW), respondents with Class 3 obesity had more obesity-related complications (2.07 vs. 4.62, p < 0.001). Higher BMI was associated with significantly lower HRQoL, lower productivity, and higher healthcare expenditures as well as more frequent weight loss attempts in the previous 12 months. Weight loss surgery and prescription anti-obesity medications (AOMs) were used only by a very small proportion of individuals. Despite frequent weight loss attempts, most respondents did not achieve clinically meaningful weight loss. Conclusions: Adults with OW or obesity experienced worse clinical, economic and HRQoL outcomes than those with NW. Better use of evidence-based obesity treatments, including prescription AOMs, should be considered to achieve more clinically meaningful weight reduction and improved outcomes in individuals with OW or obesity.

EXIST: EXamining rIsk of excesS adiposiTy-Machine learning to predict obesity-related complications.

Background: Obesity is associated with an increased risk of multiple conditions, ranging from heart disease to cancer. However, there are few predictive models for these outcomes that have been developed specifically for people with overweight/obesity. Objective: To develop predictive models for obesity-related complications in patients with overweight and obesity. Methods: Electronic health record data of adults with body mass index 25-80 kg/m2 treated in primary care practices between 2000 and 2019 were utilized to develop and evaluate predictive models for nine long-term clinical outcomes using a) Lasso-Cox models and b) a machine-learning method random survival forests (RSF). Models were trained on a training dataset and evaluated on a test dataset over 100 replicates. Parsimonious models of <10 variables were also developed using Lasso-Cox. Results: Over a median follow-up of 5.6 years, study outcome incidence in the cohort of 433,272 patients ranged from 1.8% for knee replacement to 11.7% for atherosclerotic cardiovascular disease. Harrell C-index averaged over replicates ranged from 0.702 for liver outcomes to 0.896 for death for RSF, and from 0.694 for liver outcomes to 0.891 for death for Lasso-Cox. The Harrell C-index for parsimonious models ranged from 0.675 for liver outcomes to 0.850 for knee replacement. Conclusions: Predictive modeling can identify patients at high risk of obesity-related complications. Interpretable Cox models achieve results close to those of machine learning methods and could be helpful for population health management and clinical treatment decisions.

Tirzepatide and blood pressure reduction: stratified analyses of the SURMOUNT-1 randomised controlled trial.

BACKGROUND: Treating obesity may be a pathway to prevent and control hypertension. In the SURMOUNT-1 trial in people with obesity or overweight with weight-related complications, 72-week tirzepatide treatment led to clinically meaningful body weight and blood pressure reduction. Post hoc analyses were conducted to further explore the effects of tirzepatide on the pattern of blood pressure reduction and whether the effects were consistent across various subgroups. METHODS: The mixed effect for repeated measure model was used to compare changes in overall blood pressure, across demographic and clinical subgroups, baseline blood pressure subgroups and hypertension categories between SURMOUNT-1 participants randomised to treatment with tirzepatide and placebo. The association between weight changes and blood pressure and adverse events associated with low blood pressure were also evaluated by mediation analysis. RESULTS: Tirzepatide treatment was associated with a rapid decline in systolic and diastolic blood pressure over the first 24 weeks, followed by blood pressure stabilisation until the end of the observation period, resulting in a significant net reduction by 72 weeks of 6.8 mm Hg systolic and 4.2 mm Hg diastolic blood pressure versus placebo. Participants randomly assigned to any tirzepatide group were more likely than those assigned to placebo to have normal blood pressure at week 72 (58.0% vs 35.2%, respectively). The effects were broadly consistent across baseline blood pressure subgroups, shifting the blood pressure distribution curve to lower blood pressure levels. The mediation analysis indicated that weight loss explained 68% of the systolic and 71% of the diastolic blood pressure reduction. Low blood pressure adverse events were infrequent, but the rate was higher in the tirzepatide group. CONCLUSIONS: In these post hoc analyses, in participants with obesity or overweight, tirzepatide was associated with reduced blood pressure consistently across participant groups primarily via weight loss, with relatively few blood pressure-related adverse events. TRIAL REGISTRATION NUMBER: NCT04184622.