Predictive Model of Low Cardiac Output Syndrome in Cardiac Valve Surgery
Keywords:
Low cardiac output syndrome, cardiac valve surgery, predictive model, risk stratification,Abstract
Low cardiac output syndrome (LCOS) is a critical complication following cardiac valve surgery, associated with increased morbidity and mortality. Early identification and intervention are essential in managing LCOS and improving patient outcomes. Developing a predictive model for LCOS in cardiac valve surgery could aid clinicians in risk stratification and personalized care delivery. To develop a predictive model for low cardiac output syndrome in patients undergoing cardiac valve surgery. By leveraging preoperative, intraoperative, and postoperative variables, including patient demographics, comorbidities, surgical techniques, and hemodynamic parameters, the predictive model seeks to accurately forecast the likelihood of LCOS occurrence in this patient population. A retrospective cohort study conducted using data from patients who underwent cardiac valve surgery at the institution. The predictive model is iidentified predictors of low cardiac output syndrome in cardiac valve surgery, offering clinicians a tool to assess individual patient risk preoperatively. The development of a predictive model for low cardiac output syndrome in cardiac valve surgery has the potential to improve patient outcomes, optimize resource utilization, and enhance clinical decision-making.