Prognostic Model to Predict Postoperative Adverse Events in Pediatric Patients With Aortic Coarctation.

ABSTRACT: Background: Postoperative adverse events remain excessively high in surgical patients with coarctation of aorta (CoA). Currently, there is no generally accepted strategy to predict these patients' individual outcomes. Objective: This study aimed to develop a risk model for the prediction of postoperative risk in pediatric patients with CoA. Methods: In total, 514 patients with CoA at two centers were enrolled. Using daily clinical practice data, we developed a model to predict 30-day or in-hospital adverse events after the operation. The least absolute shrinkage and selection operator approach was applied to select predictor variables and logistic regression was used to develop the model. Model performance was estimated using the receiver-operating characteristic curve

SUBMITTER: Gu Y 

PROVIDER: S-EPMC8175771 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature