Creatinine Clearance and Estimated Glomerular Filtration Rate--When are they Interchangeable

Collegium Antropologicum
|February 23, 2016
PubMed

Insights

This study compared glomerular filtration rate equations for predicting creatinine clearance in 500 patients. The Modification of Diet in Renal Disease (MDRD) and CKD-EPI equations showed high accuracy, especially in advanced kidney disease stages.

Area of Science:

  • Nephrology
  • Clinical Chemistry
  • Biostatistics

Background:

  • Accurate estimation of glomerular filtration rate (GFR) is crucial for managing chronic kidney disease (CKD).
  • Several equations exist to estimate GFR, but their suitability for predicting creatinine clearance (CrCl) across different patient demographics and CKD stages requires evaluation.
  • The Cockcroft-Gault (C-G), Modification of Diet in Renal Disease (MDRD), and CKD-EPI equations are commonly used but may have varying performance.

Purpose of the Study:

  • To determine the most suitable glomerular rate equation for predicting creatinine clearance (CrCl).
  • To assess the impact of CKD stage, body-mass index (BMI), diabetes, and age on the predictive accuracy of these equations.
  • To propose potential adjustments for equations in specific patient populations, such as overweight individuals.

Main Methods:

  • Retrospective analysis of data from 500 hospital patients.
  • Calculation of GFR using the Cockcroft-Gault (C-G), MDRD, and CKD-EPI equations.
  • Comparison of equation-derived GFR with measured CrCl, including analysis of diagnostic accuracy using ROC plots and Passing-Bablok regression, stratified by patient characteristics and CKD stage.

Main Results:

  • All equations demonstrated high correlations with CrCl across various patient groups (diabetes, overweight, elderly).
  • No significant difference in diagnostic accuracy between MDRD and CKD-EPI was observed at common CrCl cutoffs (60 and 90 ml/min/1.73 m2).
  • Overweight patients showed a higher prevalence of normal CrCl with decreased GFR using MDRD and CKD-EPI, suggesting potential overestimation by CrCl in this group. Agreement between CrCl and MDRD/CKD-EPI was limited to advanced CKD stages (G4 and G5).

Conclusions:

  • The MDRD and CKD-EPI equations are highly correlated with CrCl and suitable for predicting renal function across diverse patient populations.
  • CrCl may overestimate GFR in overweight individuals, indicating a need for potential correction.
  • Simultaneous use of CrCl with MDRD or CKD-EPI is validated only in patients with severely decreased GFR (stages G4 and G5).

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