Background As the COVID-19 pandemic continues, an initial risk-adapted allocation is
crucial for managing medical resources and providing intensive care. Objective In this study …

Background Prioritizing patients in need of intensive care is necessary to reduce the
mortality rate during the COVID-19 pandemic. Although several scoring methods have been …

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 …

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 Limited information is available about the present characteristics and dynamic
clinical changes that occur in patients with COVID-19 during the early phase of the illness …

Objectives This study aimed to identify the survival rate and explore factors affecting survival
among early COVID-19 patients in South Korea. Methods Data reported by the Korea …

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 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 …

Background COVID-19 pandemic has forced physicians to quickly determine the patient's
condition and choose treatment strategies. This study aimed to build and validate a simple …

We investigated association between epidemiological and clinical characteristics of
coronavirus disease 2019 (COVID-19) patients and clinical outcomes in Korea. This …