Decreasing the variability observed in urine analysis.

Area of Science:

• Clinical Chemistry
• Pediatric Nephrology
• Diabetology

Background:

• Biological variability significantly impacts urine analysis accuracy.
• Accurate monitoring of urine analytes is crucial for managing pediatric diabetes.
• High variability in urine albumin excretion is a concern in diabetic children.

Purpose of the Study:

• To assess the feasibility of reducing urine analyte biological variability by mixing early morning samples.
• To investigate the impact of sample mixing on urine albumin and glucose measurements in children with type 1 diabetes.
• To evaluate the correlation between blood glycated hemoglobin and mixed urine glucose levels.

Main Methods:

• Collected early morning urine aliquots (approx. 10 ml) from 22 male children with type 1 diabetes over 3 consecutive days.
• Included 10 normal children and 10 normal adults as controls.
• Analyzed individual and mixed (pooled 3-day samples) urine specimens for albumin, glucose, creatinine, total protein, and potassium.

Main Results:

• Mixing urine samples significantly decreased biological variability for all tested analytes.
• Diabetic children showed 3 times higher urine albumin-to-creatinine ratio variability (61%) compared to controls (19%) with individual samples.
• Variability in diabetic children decreased upon mixing samples, particularly for albumin-to-creatinine ratio.
• Mixing samples improved the correlation between blood glycated hemoglobin and urine glucose levels.

Conclusions:

• Mixing early morning urine samples is a feasible method to reduce biological variability in pediatric urine analysis.
• This technique enhances the reliability of urine albumin and glucose measurements in children with diabetes.
• Sample mixing offers a potential strategy for more accurate diabetes monitoring in children.