Development of multivariable models to predict change in Body Mass Index within a clinical trial population of psychotic individuals

摘要: Many antipsychotics promote weight gain, which can lead to non-compliance and relapse of psychosis. By developing models that accurately identify individuals at greater risk clinicians make informed treatment decisions target intervention measures. We examined clinical, genetic expression data for 284 with psychosis derived from a previously published randomised controlled trial (IMPACT). These were used develop regression classification predicting change in Body Mass Index (BMI) over one year. Clinical predictors included demographics, anthropometrics, cardiac blood measures, diet exercise, physical mental health, medication BMI outcome polygenic scores (PRS) schizophrenia, bipolar disorder, BMI, waist-hip-ratio, insulin resistance height, as well gene co-expression modules generated by Weighted Gene Co-expression Network Analysis (WGCNA). The best performing predictive gain after year clinical only, suggests do not improve prediction this cohort.