Development of a predictive model for post-operative cardiovascular complications using heart rate variability

Heart rate variability parameters, measured immediately post-operatively and combined with patient age, were used to develop a predictive model with an AUC of 0.980, providing a negative predictive value of 1.00 for post-operative cardiovascular complications in patients undergoing major abdominal surgery. This model has the potential to aid in early risk stratification, clinical decision-making, and patient triaging post-operatively, allowing for safe step-down care for low-risk patients.