Development and external validation of prognostic models for COVID-19 to support risk stratification in secondary care.

ABSTRACT:

Objectives

Existing UK prognostic models for patients admitted to the hospital with COVID-19 are limited by reliance on comorbidities, which are under-recorded in secondary care, and lack of imaging data among the candidate predictors. Our aims were to develop and externally validate novel prognostic models for adverse outcomes (death and intensive therapy unit (ITU) admission) in UK secondary care and externally validate the existing 4C score.

Design

Candidate predictors included demographic variables, symptoms, physiological measures, imaging and laboratory tests. Final models used logistic regression with stepwise selection.

Setting

Model development was performed in data from University Hospitals Birmingham (UHB). External validation was performed in the CovidColl

SUBMITTER: Adderley NJ 

PROVIDER: S-EPMC8764710 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature