Identifying clinical and biochemical phenotypes in acute respiratory distress syndrome secondary to coronavirus disease-2019.

ABSTRACT:

Background

Acute respiratory distress syndrome (ARDS) secondary to coronavirus disease-2019 (COVID-19) is characterized by substantial heterogeneity in clinical, biochemical, and physiological characteristics. However, the pathophysiology of severe COVID-19 infection is poorly understood. Previous studies established clinical and biological phenotypes among classical ARDS cohorts, with important therapeutic implications. The phenotypic profile of COVID-19 associated ARDS remains unknown.

Methods

We used latent class modeling via a multivariate mixture model to identify phenotypes from clinical and biochemical data collected from 263 patients admitted to Massachusetts General Hospital intensive care unit with COVID-19-associated ARDS between March 13 and August 2, 2020.

Fi

SUBMITTER: Ranjeva S 

PROVIDER: S-EPMC8047387 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature