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Related Experiment Videos

Kidney function estimating equations: where do we stand?

Josef Coresh1, L A Stevens

  • 1Welch Center for Prevention, Epidemiology and Clinical Research, The Johns Hopkins Medical Institutions, Baltimore, Maryland, USA. coresh@jhu.edu

Current Opinion in Nephrology and Hypertension
|April 13, 2006
PubMed
Summary
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Estimating glomerular filtration rate (GFR) using the Modification of Diet in Renal Disease (MDRD) Study equation is valuable for staging chronic kidney disease. Calibration of creatinine assays enhances accuracy, especially in lower GFR ranges.

Area of Science:

  • Nephrology
  • Clinical Chemistry
  • Epidemiology

Background:

  • Glomerular filtration rate (GFR) estimation is crucial for managing chronic kidney disease (CKD).
  • Serum creatinine-based equations are widely used for GFR estimation.
  • The Modification of Diet in Renal Disease (MDRD) Study equation is a prominent tool.

Purpose of the Study:

  • To review recent data on the performance of serum creatinine-based equations for GFR estimation.
  • To specifically evaluate the performance of the MDRD Study equation.
  • To compare the MDRD Study equation with the Cockcroft-Gault equation.

Main Methods:

  • Review of recent large-scale studies (n>500) comparing GFR estimation equations.
  • Analysis of studies focusing on creatinine calibration and standardization.

Related Experiment Videos

  • Evaluation of equation performance across different GFR ranges and populations.

    • Main Results:

    • The MDRD Study equation demonstrated good performance in populations with low GFR, often outperforming the Cockcroft-Gault equation.
    • Creatinine assay calibration significantly improved the performance of GFR estimation equations.
    • Both equations showed reduced precision in populations with high GFR; MDRD sometimes underestimated GFR.

    Conclusions:

    • GFR estimation equations are beneficial for systematic CKD staging.
    • The MDRD Study equation, coupled with systematic creatinine assay calibration, enhances precision and accuracy.
    • GFR estimates are less reliable in the normal GFR range and vary by population.