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: To develop an algorithm that predicts an individualized risk of severe
coronavirus disease 2019 illness (ie, ICU admission or death) upon testing positive for …

Background Numerous prognostic scores have been published to support risk stratification
for patients with coronavirus disease 2019 (COVID-19). Methods We performed a systematic …

Introduction Early identification of patients with coronavirus disease 2019 (COVID-19) who
are at risk for hospitalization may help to mitigate disease burden by allowing healthcare …

Abstract Background Coronavirus disease 2019 (COVID-19) carries high morbidity and
mortality globally. Identification of patients at risk for clinical deterioration upon presentation …

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 The rapid spread of coronavirus disease 2019 (COVID-19) revealed significant
constraints in critical care capacity. In anticipation of subsequent waves, reliable prediction …

Background The COVID-19 pandemic continues to escalate. There is urgent need to stratify
patients. Understanding risk of deterioration will assist in admission and discharge …

Background Several specific risk scores for Coronavirus disease 2019 (COVID-19) involving
clinical and biochemical parameters have been developed from higher-risk patients, in …

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 …