External validation of unsupervised COVID-19 clinical phenotypes and their prognostic impact.

ABSTRACT:

Background

Hospitalized patients with coronavirus disease 2019 (COVID-19) can be classified into different clinical phenotypes based on their demographic, clinical, radiology, and laboratory features. We aimed to validate in an external cohort of hospitalized COVID-19 patients the prognostic value of a previously described phenotyping system (FEN-COVID-19) and to assess the reproducibility of phenotypes development as a secondary analysis.

Methods

Patients were classified in phenotypes A, B or C according to the severity of oxygenation impairment, inflammatory response, hemodynamic and laboratory tests according to the FEN-COVID-19 method.

Results

Overall, 992 patients were included in the study, and 181 (18%), 757 (76%) and 54 (6%) of them were assigned to the FEN-CO

SUBMITTER: Giacobbe DR 

PROVIDER: S-EPMC10116925 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature