ECMO PAL: using deep neural networks for survival prediction in venoarterial extracorporeal membrane oxygenation.

ABSTRACT:

Purpose

Venoarterial extracorporeal membrane oxygenation (VA-ECMO) is a complex and high-risk life support modality used in severe cardiorespiratory failure. ECMO survival scores are used clinically for patient prognostication and outcomes risk adjustment. This study aims to create the first artificial intelligence (AI)-driven ECMO survival score to predict in-hospital mortality based on a large international patient cohort.

Methods

A deep neural network, ECMO Predictive Algorithm (ECMO PAL) was trained on a retrospective cohort of 18,167 patients from the international Extracorporeal Life Support Organisation (ELSO) registry (2017-2020), and performance was measured using fivefold cross-validation. External validation was performed on all adult registry patients from 2021 (

SUBMITTER: Stephens AF 

PROVIDER: S-EPMC10499722 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature