TY - JOUR T1 - Clinical risk score to predict in-hospital mortality in COVID-19 patients: a retrospective cohort study JF - BMJ Open JO - BMJ Open DO - 10.1136/bmjopen-2020-040729 VL - 10 IS - 9 SP - e040729 AU - Carlo Fumagalli AU - Renzo Rozzini AU - Matteo Vannini AU - Flaminia Coccia AU - Giulia Cesaroni AU - Francesca Mazzeo AU - Maria Cola AU - Alessandro Bartoloni AU - Paolo Fontanari AU - Federico Lavorini AU - Rossella Marcucci AU - Alessandro Morettini AU - Carlo Nozzoli AU - Adriano Peris AU - Filippo Pieralli AU - Riccardo Pini AU - Loredana Poggesi AU - Andrea Ungar AU - Stefano Fumagalli AU - Niccolò Marchionni Y1 - 2020/09/01 UR - http://bmjopen.bmj.com/content/10/9/e040729.abstract N2 - 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 score to predict the in-hospital mortality in COVID-19 patients, based on a set of variables available soon after the hospitalisation triage.Setting Retrospective cohort study of 516 patients consecutively admitted for COVID-19 to two Italian tertiary hospitals located in Northern and Central Italy were collected from 22 February 2020 (date of first admission) to 10 April 2020.Participants Consecutive patients≥18 years admitted for COVID-19.Main outcome measures Simple clinical and laboratory findings readily available after triage were compared by patients’ survival status (‘dead’ vs ‘alive’), with the objective of identifying baseline variables associated with mortality. These were used to build a COVID-19 in-hospital mortality risk score (COVID-19MRS).Results Mean age was 67±13 years (mean±SD), and 66.9% were male. Using Cox regression analysis, tertiles of increasing age (≥75, upper vs <62 years, lower: HR 7.92; p<0.001) and number of chronic diseases (≥4 vs 0–1: HR 2.09; p=0.007), respiratory rate (HR 1.04 per unit increase; p=0.001), PaO2/FiO2 (HR 0.995 per unit increase; p<0.001), serum creatinine (HR 1.34 per unit increase; p<0.001) and platelet count (HR 0.995 per unit increase; p=0.001) were predictors of mortality. All six predictors were used to build the COVID-19MRS (Area Under the Curve 0.90, 95% CI 0.87 to 0.93), which proved to be highly accurate in stratifying patients at low, intermediate and high risk of in-hospital death (p<0.001).Conclusions The COVID-19MRS is a rapid, operator-independent and inexpensive clinical tool that objectively predicts mortality in patients with COVID-19. The score could be helpful from triage to guide earlier assignment of COVID-19 patients to the most appropriate level of care. ER -