Survival prediction algorithms for COVID-19 patients admitted to a UK district general hospital.

Objective: To collect and review data from consecutive patients admitted to Queen's Hospital, Burton on Trent for treatment of Covid-19 infection, with the aim of developing a predictive algorithm that can help identify those patients likely to survive.

Design: Consecutive patient data were collected from all admissions to hospital for treatment of Covid-19. Data were manually extracted from the electronic patient record for statistical analysis.