Dataset Information

Identification of Distinct Clinical Subphenotypes in Critically Ill Patients With COVID-19.

ABSTRACT:

Background

Subphenotypes have been identified in patients with sepsis and ARDS and are associated with different outcomes and responses to therapies.

Research question

Can unique subphenotypes be identified among critically ill patients with COVID-19?

Study design and methods

Using data from a multicenter cohort study that enrolled critically ill patients with COVID-19 from 67 hospitals across the United States, we randomly divided centers into discovery and replication cohorts. We used latent class analysis independently in each cohort to identify subphenotypes based on clinical and laboratory variables. We then analyzed the associations of subphenotypes with 28-day mortality.