Objectives Several physiological abnormalities that develop during COVID-19 are
associated with increased mortality. In the present study, we aimed to develop a clinical risk …

Patients hospitalised with COVID-19 have a high mortality. Identification of patients at
increased risk of adverse outcome would be important, to allow closer observation and …

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 …

COVID-19 is commonly mild and self-limiting, but in a considerable portion of patients the
disease is severe and fatal. Determining which patients are at high risk of severe illness or …

Background Identification of patients with novel coronavirus disease 2019 (COVID-19)
requiring hospital admission or at high-risk of in-hospital mortality is essential to guide …

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

Objective To develop and validate a pragmatic risk score to predict mortality in patients
admitted to hospital with coronavirus disease 2019 (covid-19). Design Prospective …

Deterioration is sometimes unexpected in SARS-CoV2 infection. The aim of our study is to
establish laboratory predictors of mortality in COVID-19 disease which can help to identify …

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 …

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 …