Abstract Background During outbreak of Coronavirus Disease 2019 (COVID-19), healthcare
providers are facing critical clinical decisions based on the prognosis of patients. Decision …

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 …

Background: Despite an increase in the familiarity of the medical community with the
epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19), there …

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 …

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 …

Several risk stratification tools were developed to predict disease progression in coronavirus
disease 2019, with no external validation to date. We attempted to validate three previously …

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 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 …

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

The prognosis of a patient with COVID-19 pneumonia is uncertain. Our objective was to
establish a predictive model of disease progression to facilitate early decision-making. A …