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Dataset Information

Multicenter derivation and validation of an early warning score for acute respiratory failure or death in the hospital.


ABSTRACT:

Background

Acute respiratory failure occurs frequently in hospitalized patients and often starts before ICU admission. A risk stratification tool to predict mortality and risk for mechanical ventilation (MV) may allow for earlier evaluation and intervention. We developed and validated an automated electronic health record (EHR)-based model-Accurate Prediction of Prolonged Ventilation (APPROVE)-to identify patients at risk of death or respiratory failure requiring >= 48 h of MV.

Methods

This was an observational study of adults admitted to four hospitals in 2013 or a fifth hospital in 2017. Clinical data were extracted from the EHRs. The 2013 patients were randomly split 50:50 into a derivation/validation cohort. The qualifying event was death or intubation leading to MV >= 4

SUBMITTER: Dziadzko MA 

PROVIDER: S-EPMC6206729 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature