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Dataset Information

Prognostic models for mortality risk in patients requiring ECMO.


ABSTRACT:

Purpose

To provide an overview and evaluate the performance of mortality prediction models for patients requiring extracorporeal membrane oxygenation (ECMO) support for refractory cardiocirculatory or respiratory failure.

Methods

A systematic literature search was undertaken to identify studies developing and/or validating multivariable prediction models for all-cause mortality in adults requiring or receiving veno-arterial (V-A) or veno-venous (V-V) ECMO. Estimates of model performance (observed versus expected (O:E) ratio and c-statistic) were summarized using random effects models and sources of heterogeneity were explored by means of meta-regression. Risk of bias was assessed using the Prediction model Risk Of BiAS Tool (PROBAST).

Results

Among 4905 articles scree

SUBMITTER: Pladet LCA 

PROVIDER: S-EPMC9944134 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature