Objectives Existing UK prognostic models for patients admitted to the hospital with COVID-
19 are limited by reliance on comorbidities, which are under-recorded in secondary care …

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 …

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

Background COVID-19 pandemic has developed rapidly and the ability to stratify the most
vulnerable patients is vital. However, routinely used severity scoring systems are often low …

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 Accurate risk prediction of clinical outcome would usefully inform clinical
decisions and intervention targeting in COVID-19. The aim of this study was to derive and …

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 …

Objective To externally validate various prognostic models and scoring rules for predicting
short term mortality in patients admitted to hospital for covid-19. Design Two stage individual …

Objectives To adopt a multi-state risk prediction model for critical disease/mortality outcomes
among hospitalised COVID-19 patients using nationwide COVID-19 hospital surveillance …

Background The coronavirus disease 2019 (COVID-19) presents an urgent threat to global
health. Prediction models that accurately estimate mortality risk in hospitalized patients …