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Dataset Information

Predicting COVID-19 prognosis in the ICU remained challenging: external validation in a multinational regional cohort.


ABSTRACT:

Objectives

Many prediction models for coronavirus disease 2019 (COVID-19) have been developed. External validation is mandatory before implementation in the intensive care unit (ICU). We selected and validated prognostic models in the Euregio Intensive Care COVID (EICC) cohort.

Study design and setting

In this multinational cohort study, routine data from COVID-19 patients admitted to ICUs within the Euregio Meuse-Rhine were collected from March to August 2020. COVID-19 models were selected based on model type, predictors, outcomes, and reporting. Furthermore, general ICU scores were assessed. Discrimination was assessed by area under the receiver operating characteristic curves (AUCs) and calibration by calibration-in-the-large and calibration plots. A random-effects meta-a

SUBMITTER: Meijs DAM 

PROVIDER: S-EPMC9605784 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature