Development and Validation of Models to Predict Postoperative Complications for Patients With Cardiac Surgery

Development and Validation of Models to Predict Postoperative Complications for Patients With Cardiac Surgery

Patients undergoing cardiac surgery is routinely performed in clinical scenarios, highly postoperative morbidities and long-term mortality should be modified. A simple risk prediction model incorporating risk factors can help guide clinical decision making, patient counseling and treatment planning.

Patients undergoing cardiac surgery is routinely performed in clinical scenarios, highly postoperative morbidities and long-term mortality should be modified.A nomogram is a pictorial representation of a scoring model that possesses a simple user interface and shows favorable predictive performance. By integrating a patient's diverse determinant variables, a nomogram can provide a personalized probability for quantitative predictions of the incidence of an outcome of interest.Therefore, we conducted a retrospective study to assess the incidence, risk factors and outcomes associated with major complications patients undergoing cardiac surgery.

Inclusion Criteria:

Age more than 18 years Undergoing Cardiovascular surgery

Exclusion Criteria:

Missing primary outcomes or variables