Prediction model for postoperative delirium risk in elderly hypertensive patients: machine learning-based development and validation

BackgroundPostoperative delirium (POD) is a severe complication in elderly hypertensive patients, associated with poor long-term outcomes. Existing models often rely on intraoperative data, limiting preoperative risk stratification. This study aimed to develop a non-invasive machine learning model to predict POD and investigate its preoperative markers’ impact on three-year mortality.MethodsPreoperative variables were selected using LASSO regression from a cohort of 1,782 patients. Ten machine l