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.