Evaluation of mortality predictors in hospitalized COVID-19 patients: Retrospective cohort study.

Introduction: Evaluation of parameters that will predict prognosis in COVID19 disease ensures correct determination of treatment strategy. In this study, it was aimed to determine the clinical, radiological and laboratory parameters affecting mortality and to evaluate the risk factors.
Materials and Methods: Patients hospitalized with the diagnosis of COVID-19 in September 2020 were included in the study. Clinical features, laboratory parameters, and radiological findings at admission were recorded. The relationship of these parameters with 30-day mortality was evaluated. Statistical analysis was performed with SPSS for Windows 16.0 Package Program.
Result: Three hundred and sixty patients (female/male, n= 228/132) hospitalized in the specified period were included in the study. 30-day mortality rate was 14.4% in all patients. In multiple logistic regression analysis, age, presence of heart failure, admission oxygen saturation, body temperature higher than 38.2 and high ferritin levels were evaluated as independent risk factors for 30-day mortality.
Conclusions: The relationship between clinical and laboratory markers and mortality is very important for the correct orientation of healthcare services and the correct determination of treatment strategy during the COVID-19 pandemic.