Minimalistic Transcriptomic Signatures Permit Accurate Early Prediction of COVID-19 Mortality.

ABSTRACT:

Background

Predicting mortality risk in patients with COVID-19 remains challenging, and accurate prognostic assays represent a persistent unmet clinical need. We aimed to identify and validate parsimonious transcriptomic signatures that accurately predict fatal outcomes within 48 hours of hospitalization.

Methods

We studied 894 patients hospitalized for COVID-19 across 20 US hospitals and enrolled in the prospective Immunophenotyping Assessment in a COVID-19 Cohort (IMPACC) with peripheral blood mononuclear cells (PBMC) and nasal swabs collected within 48 hours of admission. Host gene expression was assessed by RNA sequencing, nasal SARS-CoV-2 viral load was measured by RT-qPCR, and mortality was assessed at 28 days. We first defined transcriptional signatures and biological

SUBMITTER: Narendra R 

PROVIDER: S-EPMC12140511 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature