Clinical prediction rules for adverse evolution in patients with COVID-19 by the Omicron variant.

ABSTRACT:

Objective

We identify factors related to SARS-CoV-2 infection linked to hospitalization, ICU admission, and mortality and develop clinical prediction rules.

Methods

Retrospective cohort study of 380,081 patients with SARS-CoV-2 infection from March 1, 2020 to January 9, 2022, including a subsample of 46,402 patients who attended Emergency Departments (EDs) having data on vital signs. For derivation and external validation of the prediction rule, two different periods were considered: before and after emergence of the Omicron variant, respectively. Data collected included sociodemographic data, COVID-19 vaccination status, baseline comorbidities and treatments, other background data and vital signs at triage at EDs. The predictive models for the EDs and the whole samples were

SUBMITTER: Portuondo-Jimenez J 

PROVIDER: S-EPMC9988314 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature