Unknown

Dataset Information

Identification and validation of distinct biological phenotypes in patients with acute respiratory distress syndrome by cluster analysis.


ABSTRACT:

Rationale

We hypothesised that patients with acute respiratory distress syndrome (ARDS) can be clustered based on concentrations of plasma biomarkers and that the thereby identified biological phenotypes are associated with mortality.

Methods

Consecutive patients with ARDS were included in this prospective observational cohort study. Cluster analysis of 20 biomarkers of inflammation, coagulation and endothelial activation provided the phenotypes in a training cohort, not taking any outcome data into account. Logistic regression with backward selection was used to select the most predictive biomarkers, and these predicted phenotypes were validated in a separate cohort. Multivariable logistic regression was used to quantify the independent association with mortality.

Result

SUBMITTER: Bos LD 

PROVIDER: S-EPMC5964254 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature