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

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

Prevalence of obesity, metabolic syndrome, diabetes and risk of cardiovascular disease in a psychiatric inpatient sample: results of the Metabolism in Psychiatry (MiP) Study.

The information on prevalence of obesity, diabetes, metabolic syndrome (MetS) and cardiovascular risk (CVR) and on sociodemographic variables available in patients with psychiatric diseases about to be treated with weight gain-associated medication (e.g., clozapine, mirtazapine, quetiapine) is limited. In a naturalistic study, psychiatric inpatients (age: 18-75) of all F diagnoses according to ICD-10, who were about to be treated with weight gain-associated medication, were included. Demographic variables were assessed as well as biological parameters to calculate the Body Mass Index (BMI), MetS, diabetes and CVR. A total of 163 inpatients were included (60.1% male; mean age: 39.8 (± 15.1, 18-75 years). The three most common disorders were depression (46.0%), bipolar disorder (20.9%) and drug addiction (20.2%). The three most common pharmacotherapeutic agents prescribed were quetiapine (29.4%), mirtazapine (20.9%) and risperidone (12.9%). Of the included inpatients 30.1% were overweight, 17.2% obese, and 26.9% and 22.4% fulfilled the criteria for a MetS according to the International Diabetes Federation (IDF) and the National Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults (NCEP ATP III), respectively, 3.8% had (pre)diabetes and 8.3% had a moderate and 1.9% a high CVR according to the Prospective Cardiovascular Münster (PROCAM) score. Detailed information is reported on all assessed parameters as well as on subgroup analyses concerning sociodemographic variables. The results suggest that psychiatric patients suffer from multiple metabolic disturbances in comparison to the general population. Monitoring weight, waist circumference, blood pressure and cholesterol regularly is, therefore, highly relevant.