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Dataset Information

Development of a biomarker mortality risk model in acute respiratory distress syndrome.


ABSTRACT:

Background

There is a compelling unmet medical need for biomarker-based models to risk-stratify patients with acute respiratory distress syndrome. Effective stratification would optimize participant selection for clinical trial enrollment by focusing on those most likely to benefit from new interventions. Our objective was to develop a prognostic, biomarker-based model for predicting mortality in adult patients with acute respiratory distress syndrome.

Methods

This is a secondary analysis using a cohort of 252 mechanically ventilated subjects with the diagnosis of acute respiratory distress syndrome. Survival to day 7 with both day 0 (first day of presentation) and day 7 sample availability was required. Blood was collected for biomarker measurements at first presentation to

SUBMITTER: Bime C 

PROVIDER: S-EPMC6916252 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature