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Assessment of Kidney Function in Mouse Models of Glomerular Disease
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Understanding kidney function assessment: the basics and advances.

Houry V Puzantian1, Raymond R Townsend

  • 1Department of Biobehavioral Health Sciences, School of Nursing, Research Fellow, Perelman School of Medicine, Institute for Translational Medicine & Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania.

Journal of the American Association of Nurse Practitioners
|October 31, 2013
PubMed
Summary
This summary is machine-generated.

Glomerular filtration rate (GFR) is the best kidney function indicator. Newer equations, like CKD-EPI and CRIC, offer improved accuracy for diagnosing chronic kidney disease (CKD) and guiding treatment.

Keywords:
Kidney function testscreatinineglomerular filtration ratekidney diseases

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Area of Science:

  • Nephrology
  • Clinical Chemistry

Background:

  • Assessing kidney function is crucial but methods are debated.
  • Understanding the utility and limitations of various assessment tools is essential for clinical practice.

Purpose of the Study:

  • To provide practitioners with a comprehensive understanding of kidney function assessment methods.
  • To compare the clinical utility of different kidney function tests and equations.

Main Methods:

  • Literature search of relevant subject headings in PUBMED.
  • Review and synthesis of available data on kidney function assessment.

Main Results:

  • Glomerular filtration rate (GFR) is the primary indicator of kidney function.
  • Creatinine-based equations (Cockcroft-Gault, MDRD, CKD-EPI) and cystatin C are discussed, with CKD-EPI showing higher accuracy.
  • A new CRIC study equation combines creatinine and cystatin C for longitudinal modeling.

Conclusions:

  • Current GFR estimation methods have limitations.
  • Emerging equations offer greater accuracy in diagnosing chronic kidney disease (CKD).
  • Informed practitioners can implement better prevention and intervention strategies for CKD.