The Role of Urine Biochemical Parameters for Predicting Disease Severity In COVID-19 Patients

Abstract

Background: We aimed to determine the importance of urinary biochemical parameters in predicting the severity of COVID-19 disease. Methods: Totally 133 individuals diagnosed with COVID-19 in our clinic were included in the study. The groups were formed according to the severity of COVID-19 disease (moderate 85, severe 29, and critical 19), and an additional control group was created from 50 healthy individuals. The correlation between urine biochemical parameters and the severity of disease was investigated. Results: Erythrocyturia, proteinuria, and glucosuria rates were significantly higher in patients than controls. In patients, the median urine specific gravity (SG) value was found to be lower (p<0.001), and median potential of hydrogen (pH) value was found to be higher compared to the controls (p<0.001). In the severe group age, erythrocyturia, proteinuria, and glucosuria were significantly higher than the non-severe group. On multivariate analysis, proteinuria (OR: 4.66, 95%CI 1.02-21.4, p=0.047) and age (OR: 1.06, 95% CI 1.03-1.10, p<0.001) were independent predictive factors for disease severity. Conclusion: Some urine biochemical parameters especially proteinuria and advanced age may be useful for predicting the COVID-19 disease severity.