Predicting Survival for Veno-Arterial ECMO Using Conditional Inference Trees-A Multicenter Study.

ABSTRACT:

Background

Despite increasing use and understanding of the process, veno-arterial extracorporeal membrane oxygenation (VA-ECMO) therapy is still associated with considerable mortality. Personalized and quick survival predictions using machine learning methods can assist in clinical decision making before ECMO insertion.

Methods

This is a multicenter study to develop and validate an easy-to-use prognostic model to predict in-hospital mortality of VA-ECMO therapy, using unbiased recursive partitioning with conditional inference trees. We compared two sets with different numbers of variables (small and comprehensive), all of which were available just before ECMO initiation. The area under the curve (AUC), the cross-validated Brier score, and the error rate were applied to asses

SUBMITTER: Braun J 

PROVIDER: S-EPMC10573956 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature