Prediction of the need for intensive oxygen supplementation during hospitalisation among subjects with COVID-19 admitted to an academic health system in Texas: a retrospective cohort study and multivariable regression model.

ABSTRACT:

Objective

SARS-CoV-2 has caused a pandemic claiming more than 4 million lives worldwide. Overwhelming COVID-19 respiratory failure placed tremendous demands on healthcare systems increasing the death toll. Cost-effective prognostic tools to characterise the likelihood of patients with COVID-19 to progress to severe hypoxemic respiratory failure are still needed.

Design

We conducted a retrospective cohort study to develop a model using demographic and clinical data collected in the first 12 hours of admission to explore associations with severe hypoxemic respiratory failure in unvaccinated and hospitalised patients with COVID-19.

Setting

University-based healthcare system including six hospitals located in the Galveston, Brazoria and Harris counties of Texas.

Partic

SUBMITTER: Davis JW 

PROVIDER: S-EPMC8971360 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature