Methods Medical records of adult patients admitted to a single 1,200-bed tertiary academic
center were retrospectively reviewed for demographic data, baseline characteristics, RI …

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 …

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. COVID‐19 may result in multiorgan failure and death. Early detection of
patients at risk may allow triage and more intense monitoring. The aim of this study was to …

Results Three predictors of mortality and four predictors of ICU admission were identified.
Absolute neutrophil count was a common predictor of both ICU admission and mortality but …

Objectives: Coronavirus disease-2019 (COVID-19) disease has overwhelmed the
healthcare infrastructure worldwide. The shortage of intensive care unit (ICU) beds leads to …

Introduction: Optimized allocation of medical resources to patients with COVID-19 has been
a critical concern since the onset of the pandemic. Methods: In this retrospective cohort …

As severe acute respiratory syndrome coronavirus 2 continues to spread, easy-to-use risk
models that predict hospital mortality can assist in clinical decision making and triage. We …

Patients hospitalized with COVID-19 infection are at a high general risk for in-hospital
mortality. A simple and easy-to-use model for predicting mortality based on data readily …

This study aimed to develop risk scores based on clinical characteristics at presentation to
predict intensive care unit (ICU) admission and mortality in COVID-19 patients. 641 …