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Related Experiment Videos

Estimating the glomerular filtration rate. Dos and don'ts for assessing kidney function.

G Manjunath1, M J Sarnak, A S Levey

  • 1New England Medical Center, Tufts University School of Medicine, Boston, USA.

Postgraduate Medicine
|January 15, 2002
PubMed
Summary
This summary is machine-generated.

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Estimating glomerular filtration rate (GFR) using prediction equations is crucial for assessing kidney function. Relying solely on serum creatinine is insufficient for accurate kidney disease evaluation.

Area of Science:

  • Nephrology
  • Clinical Chemistry

Background:

  • Kidney function assessment is vital for managing chronic kidney disease (CKD).
  • Current guidelines emphasize the importance of estimated glomerular filtration rate (eGFR) over serum creatinine alone.

Purpose of the Study:

  • To outline the National Kidney Foundation's recommendations for assessing kidney function.
  • To highlight the utility of prediction equations for estimating glomerular filtration rate (GFR).

Main Methods:

  • Utilizing prediction equations incorporating serum creatinine, age, gender, race, and body size for GFR estimation.
  • Recommending specific equations for adults (MDRD, Cockcroft-Gault) and children (Schwartz, Counahan-Barratt).

Main Results:

  • Estimated GFR (eGFR) from prediction equations is the best index of kidney function.

Related Experiment Videos

  • Serum creatinine alone is inadequate for assessing kidney function.
  • Timed urine collections for creatinine clearance do not improve eGFR estimates compared to prediction equations.

    • Conclusions:

    • Clinical laboratories should report eGFR alongside creatinine measurements.
    • Calibration of serum creatinine assays using international standards is recommended.
    • 24-hour urine collections are useful for specific populations with atypical dietary intake or muscle mass.