Related Experiment Videos
Measuring the albumin excretion rate: agreement between methods and biological variability
Summary
The albumin:creatinine ratio in random urine samples offers a reliable alternative to timed urine collections for estimating albumin excretion rate (AER). This method accounts for biological variability, improving accuracy in assessing diabetic kidney disease.
Area of Science:
- Nephrology
- Clinical Chemistry
- Diabetology
Background:
- Timed 24-hour urine collections for albumin excretion rate (AER) are cumbersome and prone to errors.
- Albumin excretion can be estimated using the albumin:creatinine ratio (ACR) in random urine samples.
- Previous studies focused on correlation, not agreement, and overlooked biological variability in AER.
Purpose of the Study:
- To determine the agreement between measured AER from 24-hour collections and estimated AER from ACR in random urine samples.
- To assess the impact of biological variability on AER measurements and estimations.
- To compare the reliability of ACR estimation versus timed collection for AER in diabetic patients.
Main Methods:
- Thirty diabetic patients with varying albuminuria and normal renal function provided two 24-hour and two random daytime urine specimens.
- AER was measured in 24-hour samples; AER was estimated from ACR in random samples multiplied by estimated creatinine excretion.
- Statistical analysis focused on limits of agreement for repeat measurements and estimates, and for averages of measurements and estimates.
Main Results:
- Wide limits of agreement were observed between repeat 24-hour AER measurements (33% to 490%).
- Estimated AER values from ACR were numerically similar to measured AER.
- Limits of agreement for ACR estimates did not significantly differ from measured AER, nor did comparisons of averaged values.
Conclusions:
- Albumin:creatinine ratio in random urine is a viable alternative to timed collections for estimating AER.
- The ACR method demonstrates comparable agreement to 24-hour collections, accounting for biological variability.
- This simplifies AER assessment in diabetic patients, enhancing clinical utility.