Background: The coronavirus disease 2019 (COVID-19) pandemic has affected over
millions of individuals and caused hundreds of thousands of deaths worldwide. It can be …

Background The COVID-19 pandemic has affected millions of individuals and caused
hundreds of thousands of deaths worldwide. Predicting mortality among patients with COVID …

Abstract Coronavirus 2019 (COVID-19), caused by the SARS-CoV-2 virus, has become the
deadliest pandemic in modern history, reaching nearly every country worldwide and …

Background Chinese studies reported predictors of severe disease and mortality associated
with coronavirus disease 2019 (COVID-19). A generalizable and simple survival calculator …

(1) Background: Coronavirus disease 2019 (COVID-19) is a dominant, rapidly spreading
respiratory disease. However, the factors influencing COVID-19 mortality still have not been …

Timely identification of COVID-19 patients at high risk of mortality can significantly improve
patient management and resource allocation within hospitals. This study seeks to develop …

It is vital to determine how patient characteristics that precede COVID-19 illness relate to
COVID-19 mortality. This is a retrospective cohort study of patients hospitalized with COVID …

COVID-19 mortality risk stratification tools could improve care, inform accurate and rapid
triage decisions, and guide family discussions regarding goals of care. A minority of COVID …

Objectives To develop a prognostic model to identify and quantify risk factors for mortality
among patients admitted to the hospital with COVID-19. Design Retrospective cohort study …

Backgrounds Validated tools for predicting individual in-hospital mortality of COVID-19 are
lacking. We aimed to develop and to validate a simple clinical prediction rule for early …