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ABSTRACT: Objectives
Predictive algorithms to inform risk management decisions are needed for patients with COVID-19, although the traditional risk scores have not been adequately assessed in Asian patients. We aimed to evaluate the performance of a COVID-19-specific prediction model, the 4C (Coronavirus Clinical Characterisation Consortium) Mortality Score, along with other conventional critical care risk models in Japanese nationwide registry data.Design
Retrospective cohort study.Setting and participants
Hospitalised patients with COVID-19 and cardiovascular disease or coronary risk factors from January to May 2020 in 49 hospitals in Japan.Main outcome measures
Two different types of outcomes, in-hospital mortality and a composite outcome, defined as the need for i
SUBMITTER: Kuroda S
PROVIDER: S-EPMC8438580 | biostudies-literature | 2021 Sep
REPOSITORIES: biostudies-literature