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Dataset Information

Baseline predictors for 28-day COVID-19 severity and mortality among hospitalized patients: results from the IMPACC study.


ABSTRACT:

Introduction

The coronavirus disease 2019 (COVID-19) pandemic threatened public health and placed a significant burden on medical resources. The Immunophenotyping Assessment in a COVID-19 Cohort (IMPACC) study collected clinical, demographic, blood cytometry, serum receptor-binding domain (RBD) antibody titers, metabolomics, targeted proteomics, nasal metagenomics, Olink, nasal viral load, autoantibody, SARS-CoV-2 antibody titers, and nasal and peripheral blood mononuclear cell (PBMC) transcriptomics data from patients hospitalized with COVID-19. The aim of this study is to select baseline biomarkers and build predictive models for 28-day in-hospital COVID-19 severity and mortality with most predictive variables while prioritizing routinely collected variables.

Methods

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SUBMITTER: Hou J 

PROVIDER: S-EPMC12271175 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature