Background: Predicting mortality from COVID-19 using information available when patients
present to the emergency department can inform goals-of-care decisions and assist with …

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 …

Methods This was a retrospective cohort study including confirmed COVID-19 patients
admitted to the four Trinity Health of New England hospitals (THONE) in Connecticut and …

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

Objectives Estimating mortality risk in hospitalised SARS-CoV-2+ patients may help with
choosing level of care and discussions with patients. The Coronavirus Clinical …

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

Abstract Background Coronavirus disease 2019 (COVID-19) caused by severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2) constitutes a major health burden …

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 …

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 …