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 …

We retrospectively evaluated 2879 hospitalized COVID-19 patients from four hospitals to
evaluate the ability of demographic data, medical history, and on-admission laboratory …

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

Objective Our objective is to compare the predictive accuracy of four recently established
outcome models of patients hospitalized with coronavirus disease 2019 (COVID-19) …

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 …

Multiple prediction models for risk of in-hospital mortality from COVID-19 have been
developed, but not applied, to patient cohorts different to those from which they were …

Background As the COVID-19 pandemic continues, the number of patients admitted to the
intensive care unit (ICU) is still increasing. The aim of our article is to estimate which of the …

Prediction of mortality in patients with severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2) infection remains an unmet clinical need. An early risk stratification might …

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 …

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 …