Profiles and outcomes in patients with COVID-19 admitted to wards of a French oncohematological hospital: A clustering approach.

ABSTRACT:

Objectives

Although some prognostic factors for COVID-19 were consistently identified across the studies, differences were found for other factors that could be due to the characteristics of the study populations and the variables incorporated into the statistical model. We aimed to a priori identify specific patient profiles and then assess their association with the outcomes in COVID-19 patients with respiratory symptoms admitted specifically to hospital wards.

Methods

We conducted a retrospective single-center study from February 2020 to April 2020. A non-supervised cluster analysis was first used to detect patient profiles based on characteristics at admission of 220 consecutive patients admitted to our institution. Then, we assessed the prognostic value using Cox regres

SUBMITTER: Bondeelle L 

PROVIDER: S-EPMC8133400 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature