Background Most existing prognostic models of COVID-19 require imaging manifestations
and laboratory results as predictors, which are only available in the post-hospitalization …

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 …

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) …

In the current study, we aimed to develop and validate a model, based on our nationwide
centralized coronavirus disease 2019 (COVID‐19) database for predicting death. We …

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

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 The development of a prognostic mortality risk model for hospitalized COVID-19
patients may facilitate patient treatment planning, comparisons of therapeutic strategies, and …

We retrospectively evaluated 2879 hospitalized COVID-19 patients from four hospitals to
evaluate the ability of demographic data, medical history, and on-admission laboratory …

Background We developed a simple tool to estimate the probability of dying from acute
COVID-19 illness only with readily available assessments at initial admission. Methods This …