Biomarker states and risk of death among individuals hospitalized with SARS-CoV-2 infection.

ABSTRACT:

Background

Identifying individuals hospitalized for SARS-CoV-2 infection at increased risk of death is crucial for clinical decision making. Analyses must consider simultaneously the multitude of biomarkers across several domains and how these biomarker profiles change over time.

Methods

This electronic health records-based study included individuals hospitalized at a Massachusetts General Brigham hospital for at least 24 h within 5 days prior and 30 days after diagnosis of COVID-19. K-means clustering was used to identify profiles among 20 eligible biomarkers and proportional hazards models were used to model 30-day mortality at hospitalization and 7 days after hospitalization (i.e., landmark models).

Results

Twelve thousand, nine hundred forty-two individuals were i

SUBMITTER: Thaweethai T 

PROVIDER: S-EPMC11849268 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature