Unknown

Dataset Information

Identification of acute respiratory distress syndrome subphenotypes de novo using routine clinical data: a retrospective analysis of ARDS clinical trials.


ABSTRACT:

Objectives

The acute respiratory distress syndrome (ARDS) is a heterogeneous condition, and identification of subphenotypes may help in better risk stratification. Our study objective is to identify ARDS subphenotypes using new simpler methodology and readily available clinical variables.

Setting

This is a retrospective Cohort Study of ARDS trials. Data from the US ARDSNet trials and from the international ART trial.

Participants

3763 patients from ARDSNet data sets and 1010 patients from the ART data set.

Primary and secondary outcome measures

The primary outcome was 60-day or 28-day mortality, depending on what was reported in the original trial. K-means cluster analysis was performed to identify subgroups. Sets of candidate variables were tested to assess th

SUBMITTER: Duggal A 

PROVIDER: S-EPMC8739395 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature