In this paper, we aim at understanding the broad spectrum of factors influencing the survival
of infected patients and the correlations between these factors to create a predictive …

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 …

Background The prognosis of patients with COVID-19 infection is uncertain. We derived and
validated a new risk model for predicting progression to disease severity, hospitalization …

Patients hospitalised with COVID-19 have a high mortality. Identification of patients at
increased risk of adverse outcome would be important, to allow closer observation and …

Abstract Background Corona Virus Disease 2019 (COVID-19) presentations range from
those similar to the common flu to severe pneumonia resulting in hospitalization with …

COVID-19 is commonly mild and self-limiting, but in a considerable portion of patients the
disease is severe and fatal. Determining which patients are at high risk of severe illness or …

Background At the end of 2019, the coronavirus disease 2019 (COVID-19) pandemic
increased the hospital burden of COVID-19 caused by the SARS-Cov-2 and became the …

Purpose Since the declaration of COVID-19 as a pandemic, a wide between-country
variation was observed regarding in-hospital mortality and its predictors. Given the scarcity …

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 …

Introduction In the current COVID-19 pandemic, disease diagnosis is essential for optimal
management and timely isolation of infected cases in order to prevent further spread. The …