Development of a brief scoring system to predict any-cause mortality in patients hospitalized with COVID-19 infection.

ABSTRACT: Patients hospitalized with COVID-19 infection are at a high general risk for in-hospital mortality. A simple and easy-to-use model for predicting mortality based on data readily available to clinicians in the first 24 hours of hospital admission might be useful in directing scarce medical and personnel resources toward those patients at greater risk of dying. With this goal in mind, we evaluated factors predictive of in-hospital mortality in a random sample of 100 patients (derivation cohort) hospitalized for COVID-19 at our institution in April and May, 2020 and created potential models to test in a second random sample of 148 patients (validation cohort) hospitalized for the same disease over the same time period in the same institution. Two models (Model A: two variables, presence of pn

SUBMITTER: Jiwa N 

PROVIDER: S-EPMC8284608 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature