SARS2 simplified scores to estimate risk of hospitalization and death among patients with COVID-19.

ABSTRACT: Although models have been developed for predicting severity of COVID-19 from the medical history of patients, simplified models with good accuracy could be more practical. In this study, we examined utility of simpler models for estimating risk of hospitalization of patients with COVID-19 and mortality of these patients based on demographic characteristics (sex, age, race, median household income based on zip code) and smoking status of 12,347 patients who tested positive at Mass General Brigham centers. The corresponding electronic records were queried (02/26-07/14/2020) to construct derivation and validation cohorts. The derivation cohort was used to fit generalized linear models for estimating risk of hospitalization within 30 days of COVID-19 diagnosis and mortality within approximatel

SUBMITTER: Dashti H 

PROVIDER: S-EPMC7925678 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature