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

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 inhospital 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.