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Dataset Information

External validation of a biomarker and clinical prediction model for hospital mortality in acute respiratory distress syndrome.


ABSTRACT:

Purpose

Mortality prediction in ARDS is important for prognostication and risk stratification. However, no prediction models have been independently validated. A combination of two biomarkers with age and APACHE III was superior in predicting mortality in the NHLBI ARDSNet ALVEOLI trial. We validated this prediction tool in two clinical trials and an observational cohort.

Methods

The validation cohorts included 849 patients from the NHLBI ARDSNet Fluid and Catheter Treatment Trial (FACTT), 144 patients from a clinical trial of sivelestat for ARDS (STRIVE), and 545 ARDS patients from the VALID observational cohort study. To evaluate the performance of the prediction model, the area under the receiver operating characteristic curve (AUC), model discrimination, and calibration

SUBMITTER: Zhao Z 

PROVIDER: S-EPMC5978765 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature