Risk Stratification for In-Hospital Mortality in Adult Patients with COVID-19

Abstract

Background: Since the outbreak of coronavirus 2019 (COVID-19), identifying risk factors associated with in-hospital mortality has been a global priority. In this study, the purpose was to evaluate the clinical, laboratory, and radiological characteristics of hospitalized patients with COVID-19 to develop a predictive model and scoring system for in-hospital mortality. Methods: In this retrospective cohort study, 611 adult patients with COVID-19, admitted to Sina hospital were enrolled and followed up. Results: Out of the total number of 611 patients, 104 patients (17%) deceased during hospitalization, including 75 (12.2%) deaths in ICU and 29 (4.7%) deaths in the wards. After multivariate logistic regression analysis, several characteristics including age >55 years, previous history of malignancy, history of cerebrovascular accident, tachypnea on admission, CRP>54 on admission, D-dimer>1300, and bilateral pulmonary consolidation on chest Computed Tomography (CT) were shown to be the main determinants for stratifying the risk for in-hospital death. The factors were finally considered for introducing a new predictive scoring system for COVID-19 related death. Conclusion: In-hospital mortality rate in patients with COVID-19 is estimated to be 17%. A new scoring system for predicting in-hospital mortality in such patients was structured based on determinant factors of advanced age, history of malignancy, cerebrovascular accident, tachypnea, raised CRP, raised D-dimer on admission, and bilateral pulmonary consolidation on chest CT scan.