Who is at risk for weight gain after weight‐gain associated treatment with antipsychotics, antidepressants, and mood stabilizers: A machine learning approach

• DOI: 10.1111/acps.13684
• Publication Date: 2024-04-02T01:14:18Z
• Authors: Julia Eder; Catherine Glocker; Barbara Barton; Elif Sarisik; David Popovic; Jana Lämmermann; Alexandra Knaf; Anja Beqiri‐Zagler; Katharina Engl; Leonie Rihs; Lisa Pfeiffer; Andrea Schmitt; Peter Falkai; Maria S. Simon; Richard Musil
• Keywords: Mood stabilizer

Weight gain is a common side effect in psychopharmacology; however, targeted therapeutic interventions and prevention strategies are currently absent day-to-day clinical practice. To promote the development of such strategies, identification factors indicative patients at risk essential. In this study, we developed transdiagnostic model using comparing decision tree classifiers, logistic regression, XGboost, support vector machine to predict weight ≥5% body during first 4 weeks treatment with psychotropic drugs associated 103 psychiatric inpatients. We included established variables from literature as well an extended set additional questionnaires. Baseline BMI, premorbid age known were confirmed by our models. Additionally, waist circumference has emerged new significant factor. Eating behavior next blood glucose found potential predictor that may underlie could be used for preventive cohort psychotropics induced (PIWG). Our models validate existing findings further uncover previously unknown modifiable factors, eating glucose, which can targets strategies. These underscore imperative continued research domain establish effective measures individuals undergoing drug treatments.