Biological Variation of Creatinine, Cystatin C, and eGFR over 24 Hours

Judith M Hilderink1, Noreen van der Linden1, Dorien M Kimenai1

  • 1Department of Clinical Chemistry, Central Diagnostic Laboratory, Maastricht University Medical Center, Maastricht, the Netherlands.

Clinical Chemistry
|February 28, 2018
PubMed

Insights

Biological variation in estimated glomerular filtration rate (eGFR) equations was similar between people with and without chronic kidney disease (CKD). This finding holds true despite differences in creatinine variability, impacting eGFR accuracy in CKD assessment.

Area of Science:

  • Nephrology
  • Clinical Chemistry
  • Biostatistics

Background:

  • Estimated glomerular filtration rate (eGFR) is a cornerstone of clinical practice for assessing kidney function.
  • Understanding the biological variation of eGFR is crucial for accurate interpretation of results, especially in chronic kidney disease (CKD).

Purpose of the Study:

  • To determine the 24-hour biological variation profiles of creatinine, cystatin C, and eGFR.
  • To assess if biological variation changes with declining kidney function in individuals with and without CKD.

Main Methods:

  • Analyzed hourly blood samples from 37 participants (17 without CKD, 20 with CKD) over 24 hours.
  • Measured creatinine and cystatin C using a Cobas 8000; calculated eGFR using MDRD and CKD-EPI equations.
  • Employed nested ANOVA after outlier and homogeneity analyses to determine biological variation (CVI).

Main Results:

  • Creatinine biological variation (CVI) was higher in non-CKD individuals (6.4%) than in CKD individuals (2.5%), influenced by meat consumption.
  • Cystatin C showed less diurnal variation and was unaffected by meat consumption, with lower variability in CKD patients.
  • Reference change values (RCVs) for all eGFR equations ranged from 13% to 20% in both groups.

Conclusions:

  • Despite differences in creatinine variability, the biological variation (CVI) and RCVs of eGFR equations were similar in individuals with and without CKD.
  • These findings suggest consistent interpretability of eGFR across different kidney function statuses.
Abstract

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