Blood gene expression predicts intensive care unit admission in hospitalised patients with COVID-19.

ABSTRACT:

Background

The COVID-19 pandemic has created pressure on healthcare systems worldwide. Tools that can stratify individuals according to prognosis could allow for more efficient allocation of healthcare resources and thus improved patient outcomes. It is currently unclear if blood gene expression signatures derived from patients at the point of admission to hospital could provide useful prognostic information.

Methods

Gene expression of whole blood obtained at the point of admission from a cohort of 78 patients hospitalised with COVID-19 during the first wave was measured by high resolution RNA sequencing. Gene signatures predictive of admission to Intensive Care Unit were identified and tested using machine learning and topological data analysis, TopMD.

Results

The be

SUBMITTER: Penrice-Randal R 

PROVIDER: S-EPMC9530807 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature