Unknown

Dataset Information

Endotyping in ARDS: one step forward in precision medicine.


ABSTRACT:

Background

The Berlin definition of acute respiratory distress syndrome (ARDS) includes only clinical characteristics. Understanding unique patient pathobiology may allow personalized treatment. We aimed to define and describe ARDS phenotypes/endotypes combining clinical and pathophysiologic parameters from a Canadian ARDS cohort.

Methods

A cohort of adult ARDS patients from multiple sites in Calgary, Canada, had plasma cytokine levels and clinical parameters measured in the first 24 h of ICU admission. We used a latent class model (LCM) to group the patients into several ARDS subgroups and identified the features differentiating those subgroups. We then discuss the subgroup effect on 30 day mortality.

Results

The LCM suggested three subgroups (n1 = 64, n

SUBMITTER: Cote A 

PROVIDER: S-EPMC11092098 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature