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 …

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

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

Background Identifying patients at risk for mortality from COVID-19 is crucial to triage, clinical
decision-making, and the allocation of scarce hospital resources. The 4C Mortality Score …

Background Despite global efforts to control the COVID-19 pandemic, the emergence of new
viral strains continues to pose a significant threat. Accurate patient stratification, optimized …

Objective: Coronavirus disease 2019 (COVID-19) exists as a pandemic. Mortality during
hospitalization is multifactorial, and there is urgent need for a risk stratification model to …

Background COVID-19 pandemic has developed rapidly and the ability to stratify the most
vulnerable patients is vital. However, routinely used severity scoring systems are often low …

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