Waist Circumference Is a Strong Predictor of a Positive Outcome Evaluated One Year After Sleeve Gastrectomy

Obesity Surgery, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

Language: Английский

Identifying individuals at risk for weight gain using machine learning in electronic medical records from the United States

Diabetes Obesity and Metabolism, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

Abstract Aims Numerous risk factors for the development of obesity have been identified, yet aetiology is not well understood. Traditional statistical methods analysing observational data are limited by volume and characteristics large datasets. Machine learning (ML) can analyse datasets to extract novel insights on obesity. This study predicted adults at a ≥10% increase in index body mass (BMI) within 12 months using ML electronic medical records (EMR) database. Materials Methods algorithms were used with EMR from Optum's de‐identified Market Clarity Data, US Models included extreme gradient boosting (XGBoost), random forest, simple logistic regression (no feature selection procedure) two penalised models (Elastic Net Least Absolute Shrinkage Selection Operator [LASSO]). Performance metrics area under curve (AUC) receiver operating characteristic (used determine best‐performing model), average precision, Brier score, accuracy, recall, positive predictive value, Youden index, F1 negative value specificity. Results The XGBoost model performed best post‐index, an AUC 0.75. Lower baseline BMI, having any emergency room visit during period, no diabetes mellitus, lipid disorders younger age among top predictors BMI. Conclusion current demonstrates approach applied identify those weight gain over months. Providers may use this stratification prioritise prevention strategies or earlier intervention.

Language: Английский

Waist circumference is a strong predictor of a positive outcome evaluated one year after sleeve gastrectomy

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 17, 2024

Purpose Bariatric surgeries, such as laparoscopic sleeve gastrectomy (LSG), not only result in significant weight loss but also improve the inflammatory state obese patients. This study aimed to investigate effects of LSG on and inflammation status bariatric patients one year post-procedure. Materials Methods prospective cohort was conducted from September 2022 till May 2024. Fifty adults were enrolled for LSG. All underwent assessments body measurements, well levels interleukin-6 (IL-6), interleukin-10 (IL-10) at baseline, then 3 12 months post-surgery. Results Twelve post-surgery, measurements showed a reduction, with median excess (%EWL) 56.8%, indicating clinical success procedure. %EWL strong correlation waist circumference (R= -0.738, p < 0.00001). A logistic regression model indicated that reduction just centimeter initial increases likelihood positive outcome by 12%. Moreover, increase observed IL-10 (p 0.0001), simultaneously decrease IL-6 0.0001). Conclusions provides valuable evidence supporting benefits both reducing inflammation. Waist emerged predictor metabolic while increased signaled immunological changes.

Language: Английский