ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2026
Nomogram-Based Prediction Model for Suboptimal Weight Loss Outcomes After Metabolic Bariatric Surgery Using CT-Derived Body Composition Parameters: A Prospective Chinese Cohort Study.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background and Aim: Metabolic bariatric surgery (MBS) provides potent and sustained efficacy in managing obesity and its associated comorbidities. Nevertheless, suboptimal weight loss outcomes persist in a notable proportion of patients after MBS. This study aimed to identify influencing risk factors and develop a predictive model to predict 1-year suboptimal weight loss outcomes following MBS in a prospective Chinese cohort. Methods: This study involved a prospective cohort of 120 patients who underwent MBS at Beijing Friendship Hospital from November 2021 to September 2023. Optimal weight loss outcome was defined as a total weight loss percentage (%TWL) ≥ 20% at the 1-year follow-up. Patient's clinical, biochemical, and CT-derived body composition parameters were collected at baseline and 1 year postoperatively. Independent predictors of suboptimal weight loss outcome were identified through univariate and multivariate logistic regression. Subsequently, a nomogram was constructed and internally validated with its discrimination, calibration, and clinical utility. Results: The study included 120 patients (77.5% female) with a mean age of 33.4 ± 8.7 years and a baseline body mass index (BMI) of 38.5 ± 7.1 kg/m Conclusion: Preoperative body composition parameters, specifically SAT and PSM, are critical determinants of weight loss outcome following MBS. The nomogram model constructed based on biochemical and body composition factors in this prospective Chinese cohort may offers great significance for preoperative assessment for MBS candidates in China. Nevertheless, further external validation in independent cohorts is warranted before its routine clinical application.
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