Modelling the risk of hospital admission of lab confirmed SARS-CoV-2-infected patients in primary care: a population-based study.

ABSTRACT: The objectives of this study are to develop a predictive model of hospital admission for COVID-19 to help in the activation of emergency services, early referrals from primary care, and the improvement of clinical decision-making in emergency room services. The method is the retrospective cohort study of 49,750 patients with microbiological confirmation of SARS-CoV-2 infection. The sample was randomly divided into two subsamples, for the purposes of derivation and validation of the prediction rule (60% and 40%, respectively). Data collected for this study included sociodemographic data, baseline comorbidities, baseline treatments, and other background data. Multilevel analyses with generalized estimated equations were used to develop the predictive model. Male sex and the gradual effect of

SUBMITTER: Portuondo-Jimenez J 

PROVIDER: S-EPMC8831017 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature