Literature DB >> 24426218

The Uncertainty of the eGFR.

Tony Badrick1, Peter Turner1.   

Abstract

The estimated glomerular filtration rate (eGFR) is a parameter derived from the serum creatinine, patient age and gender and is used to ascertain renal function. It is subject to variation because of the analytical error of the creatinine measurement and biological variation. The widespread use of the eGFR to classify renal disease has led to the identification of more patients with marginal chronic kidney disease but because of the uncertainty of the eGFR it has also led to over-diagnosis of some kidney disease. There is a well described age relation with eGFR.The uncertainty of the eGFR at the critical decision level of 60 mL/min/1.73 m(2) is calculated to be 11. Caution needs to be exercised when interpreting an eGFR between 49 and 71 mL/min/1.73 m(2).

Entities:  

Keywords:  Analytical variation; Biological variation; Chronic renal failure; Uncertainty; eGFR

Year:  2012        PMID: 24426218      PMCID: PMC3689324          DOI: 10.1007/s12291-012-0280-1

Source DB:  PubMed          Journal:  Indian J Clin Biochem        ISSN: 0970-1915


  19 in total

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2.  Assessing kidney function--measured and estimated glomerular filtration rate.

Authors:  Lesley A Stevens; Josef Coresh; Tom Greene; Andrew S Levey
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Authors:  Andrew S Levey; Josef Coresh; Tom Greene; Jane Marsh; Lesley A Stevens; John W Kusek; Frederick Van Lente
Journal:  Clin Chem       Date:  2007-03-01       Impact factor: 8.327

Review 4.  What is a significant difference between sequential laboratory results?

Authors:  W S A Smellie
Journal:  J Clin Pathol       Date:  2007-10-15       Impact factor: 3.411

5.  Uncertainty of Measurement: A Review of the Rules for Calculating Uncertainty Components through Functional Relationships.

Authors:  Ian Farrance; Robert Frenkel
Journal:  Clin Biochem Rev       Date:  2012-05

6.  Underestimation of impaired kidney function with serum creatinine.

Authors:  M Kannapiran; D Nisha; A Madhusudhana Rao
Journal:  Indian J Clin Biochem       Date:  2010-11-19

7.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
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8.  Chronic kidney disease and automatic reporting of estimated glomerular filtration rate: new developments and revised recommendations.

Authors:  David W Johnson; Graham R D Jones; Timothy H Mathew; Marie J Ludlow; Matthew P Doogue; Matthew D Jose; Robyn G Langham; Paul D Lawton; Steven J McTaggart; Michael J Peake; Kevan Polkinghorne; Tim Usherwood
Journal:  Med J Aust       Date:  2012-08-20       Impact factor: 7.738

9.  Age- and gender-specific reference values of estimated GFR in Caucasians: the Nijmegen Biomedical Study.

Authors:  J F M Wetzels; L A L M Kiemeney; D W Swinkels; H L Willems; M den Heijer
Journal:  Kidney Int       Date:  2007-06-13       Impact factor: 10.612

10.  The impact of automated eGFR reporting and education on nephrology service referrals.

Authors:  Euan Noble; David W Johnson; Nicholas Gray; Peter Hollett; Carmel M Hawley; Scott B Campbell; David W Mudge; Nicole M Isbel
Journal:  Nephrol Dial Transplant       Date:  2008-07-16       Impact factor: 5.992

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Review 2.  Uncertainty in measurement: A review of the procedures for determining uncertainty in measurement and its use in deriving the biological variation of the estimated glomerular filtration rate.

Authors:  Ian Farrance; Tony Badrick; Robert Frenkel
Journal:  Pract Lab Med       Date:  2018-04-05

3.  Incomplete reversibility of estimated glomerular filtration rate decline following tenofovir disoproxil fumarate exposure.

Authors:  Sophie Jose; Lisa Hamzah; Lucy J Campbell; Teresa Hill; Martin Fisher; Clifford Leen; Richard Gilson; John Walsh; Mark Nelson; Phillip Hay; Margaret Johnson; David Chadwick; Dorothea Nitsch; Rachael Jones; Caroline A Sabin; Frank A Post
Journal:  J Infect Dis       Date:  2014-02-28       Impact factor: 5.226

4.  A Risk Assessment of the Jaffe vs Enzymatic Method for Creatinine Measurement in an Outpatient Population.

Authors:  Robert L Schmidt; Joely A Straseski; Kalani L Raphael; Austin H Adams; Christopher M Lehman
Journal:  PLoS One       Date:  2015-11-24       Impact factor: 3.240

Review 5.  Potential for Novel Biomarkers in Diabetes-Associated Chronic Kidney Disease: Epigenome, Metabolome, and Gut Microbiome.

Authors:  Ashani Lecamwasam; Elif I Ekinci; Richard Saffery; Karen M Dwyer
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Review 6.  Current Challenges and Future Perspectives of Renal Tubular Dysfunction in Diabetic Kidney Disease.

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Journal:  Front Endocrinol (Lausanne)       Date:  2021-06-10       Impact factor: 5.555

  6 in total

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