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Is there an association between urine biochemical parameters on admission and the severity OF COVID-19?
Omer Erdogan1, Fesih Ok1, Serkan Carkci1
1Urology Department, Siirt Training and Research Hospital, Siirt, Turkey.
Insights
Urinary findings like proteinuria are linked to COVID-19 severity. This study highlights how simple urine tests can help predict disease progression in coronavirus disease-2019 (COVID-19) patients.
Area of Science:
- Medical Research
- Biochemistry
- Infectious Diseases
Background:
- Coronavirus disease-2019 (COVID-19) poses a significant global health challenge.
- Understanding predictors of COVID-19 severity is crucial for patient management.
- Urinary biochemical parameters have not been extensively studied in relation to COVID-19 severity.
Purpose of the Study:
- To investigate the association between urinary biochemical parameters and the severity of COVID-19.
- To identify potential urine markers for predicting COVID-19 disease progression.
Main Methods:
- Retrospective analysis of 133 COVID-19 patients categorized by disease severity (moderate, severe, critical) and 50 healthy controls.
- Evaluation of various urine biochemical parameters including specific gravity, pH, erythrocyturia, proteinuria, and glucosuria.
- Correlation and multivariate analyses to determine the relationship between urinary parameters and disease severity.
Main Results:
- COVID-19 patients showed significantly higher rates of erythrocyturia, proteinuria, and glucosuria compared to controls.
- Lower urine specific gravity and higher pH were observed in patients.
- Proteinuria, age, elevated respiratory rate, and low oxygen saturation (SpO2) were identified as independent predictors of COVID-19 severity.
Conclusions:
- Proteinuria, a readily assessable parameter in routine urinalysis, may serve as an indicator of COVID-19 severity.
- Urinary biochemical analysis offers a potential tool for early risk stratification in COVID-19 patients.
- Further research is warranted to validate these findings and explore the underlying mechanisms.
Aim:
To determine the importance of urinary biochemical parameters on the severity of coronavirus disease-2019 (COVID-19).
Methods:
One hundred and thirty-three patients who were diagnosed with COVID-19 were retrospectively included. Groups were formed according to the severity of their disease (moderate [n = 85], severe [n = 29] and critical = [n = 19]), and an additional control group was created from healthy individuals (n = 50). We investigated the correlation between urine biochemical parameters and the severity of the disease.
Results:
Erythrocyturia, proteinuria and glucosuria rates were significantly higher in patients than in the controls. In patients, the median urine specific gravity (SG) was lower (P < .001), and the median potential of hydrogen (pH) value was higher compared with the controls (P < .001). In correlation analyses, there were strong positive correlations between disease severity and age (r = 0.545, P < .001), RR (r = 0.838, P < .001) and proteinuria (r = 0.462, P < .001), while there was a strong negative correlation with SpO2 (r = -0.839, P = .001). On multivariate analysis, age (OR: 1.06, 95% CI 1.03-1.10, P = .035), respiratory rate ≥30 breaths/min (OR: 4.72, 95% CI 1.26-6.24, P < .0031), SpO2 ≤ 93% (OR: 3.82, 95% CI 1.18-5.82, P = .001) and proteinuria (OR: 1.13, 95%CI 1.02-2.1, P = .023) were independent predictive factors for disease severity.
Conclusion:
Proteinuria in routine urine analysis, which is one of the parameters that can be easily applied in the application, may be related to the severity of the COVID-19 disease.
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