Title: The Role of Urine Biochemical Parameters for Predicting
Disease Severity In COVID-19 Patients
Aim: 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.
Keywords: Urine biochemistry, COVID-19, severe disease,
coronavirus