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 …

Purpose We aimed to develop a novel mortality scoring system for inpatients with COVID-19
based on simple demographic factors and laboratory findings. Materials and Methods We …

The experience of the early nationwide COVID-19 pandemic in South Korea led to an early
shortage of medical resources. For efficient resource allocation, accurate prediction of the …

Background Prediction of mortality in patients with coronavirus disease 2019 (COVID-19) is
a key to improving the clinical outcomes, considering that the COVID-19 pandemic has led …

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 …

Objectives Numerous people have died from coronavirus disease 2019 (COVID-19)
infection. Identifying crucial predictive biomarkers of disease mortality is critical to support …

Background Already at hospital admission, clinicians require simple tools to identify
hospitalized COVID-19 patients at high risk of mortality. Such tools can significantly improve …

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 …

Objective. To validate a previously described hospital emergency department risk model to
predict mortality in patients with COVID-19. Methods. Prospective observational …

Background The aim of this study is to develop and validate a scoring system as a tool for
predicting the in-hospital mortality in COVID-19 patients in early stage of disease. Methods …