A Clinical Risk Score to Predict In-hospital Mortality from COVID-19 in South Korea.

ABSTRACT:

Background

Early identification of patients with coronavirus disease 2019 (COVID-19) who are at high risk of mortality is of vital importance for appropriate clinical decision making and delivering optimal treatment. We aimed to develop and validate a clinical risk score for predicting mortality at the time of admission of patients hospitalized with COVID-19.

Methods

Collaborating with the Korea Centers for Disease Control and Prevention (KCDC), we established a prospective consecutive cohort of 5,628 patients with confirmed COVID-19 infection who were admitted to 120 hospitals in Korea between January 20, 2020, and April 30, 2020. The cohort was randomly divided using a 7:3 ratio into a development (n = 3,940) and validation (n = 1,688) set. Clinical information and complet

SUBMITTER: Her AY 

PROVIDER: S-EPMC8055508 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature