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Dataset Information

Head-to-head comparison of 19 prediction models for short-term outcome in medical patients in the emergency department: a retrospective study.


ABSTRACT:

Introduction

Prediction models for identifying emergency department (ED) patients at high risk of poor outcome are often not externally validated. We aimed to perform a head-to-head comparison of the discriminatory performance of several prediction models in a large cohort of ED patients.

Methods

In this retrospective study, we selected prediction models that aim to predict poor outcome and we included adult medical ED patients. Primary outcome was 31-day mortality, secondary outcomes were 1-day mortality, 7-day mortality, and a composite endpoint of 31-day mortality and admission to intensive care unit (ICU).The discriminatory performance of the prediction models was assessed using an area under the receiver operating characteristic curve (AUC). Finally, the prediction mode

SUBMITTER: van Dam PMEL 

PROVIDER: S-EPMC10786429 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature