As severe acute respiratory syndrome coronavirus 2 continues to spread, easy-to-use risk
models that predict hospital mortality can assist in clinical decision making and triage. We …

Background To develop a sensitive and clinically applicable risk assessment tool identifying
coronavirus disease 2019 (COVID-19) patients with a high risk of mortality at hospital …

Patients hospitalized with COVID-19 infection are at a high general risk for in-hospital
mortality. A simple and easy-to-use model for predicting mortality based on data readily …

Background The coronavirus disease 2019 (COVID-19) presents an urgent threat to global
health. Prediction models that accurately estimate mortality risk in hospitalized patients …

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 …

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 …

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 …

Objectives An accurate prognostic score to predict mortality for adults with COVID-19
infection is needed to understand who would benefit most from hospitalizations and more …

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 …

Objective Our objective is to compare the predictive accuracy of four recently established
outcome models of patients hospitalized with coronavirus disease 2019 (COVID-19) …