Literature DB >> 23856996

The applicability of eGFR equations to different populations.

Pierre Delanaye1, Christophe Mariat.   

Abstract

The Cockcroft-Gault equation for estimating glomerular filtration rate has been learnt by every generation of medical students over the decades. Since the publication of the Modification of Diet in Renal Disease (MDRD) study equation in 1999, however, the supremacy of the Cockcroft-Gault equation has been relentlessly disputed. More recently, the Chronic Kidney Disease Epidemiology (CKD-EPI) consortium has proposed a group of novel equations for estimating glomerular filtration rate (GFR). The MDRD and CKD-EPI equations were developed following a rigorous process, are expressed in a way in which they can be used with standardized biomarkers of GFR (serum creatinine and/or serum cystatin C) and have been evaluated in different populations of patients. Today, the MDRD Study equation and the CKD-EPI equation based on serum creatinine level have supplanted the Cockcroft-Gault equation. In many regards, these equations are superior to the Cockcroft-Gault equation and are now specifically recommended by international guidelines. With their generalized use, however, it has become apparent that those equations are not infallible and that they fail to provide an accurate estimate of GFR in certain situations frequently encountered in clinical practice. After describing the processes that led to the development of the new GFR-estimating equations, this Review discusses the clinical situations in which the applicability of these equations is questioned.

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Year:  2013        PMID: 23856996     DOI: 10.1038/nrneph.2013.143

Source DB:  PubMed          Journal:  Nat Rev Nephrol        ISSN: 1759-5061            Impact factor:   28.314


  132 in total

1.  Cystatin C and estimates of renal function: searching for a better measure of kidney function in diabetic patients.

Authors:  Laura Pucci; Stefano Triscornia; Daniela Lucchesi; Carmen Fotino; Giovanni Pellegrini; Ennia Pardini; Roberto Miccoli; Stefano Del Prato; Giuseppe Penno
Journal:  Clin Chem       Date:  2007-01-26       Impact factor: 8.327

2.  Con: Should we abandon the use of the MDRD equation in favour of the CKD-EPI equation?

Authors:  Pierre Delanaye; Hans Pottel; Rossini Botev; Lesley A Inker; Andrew S Levey
Journal:  Nephrol Dial Transplant       Date:  2013-06       Impact factor: 5.992

Review 3.  How to estimate GFR in children.

Authors:  Joris R Delanghe
Journal:  Nephrol Dial Transplant       Date:  2008-05-29       Impact factor: 5.992

4.  Evaluation of GFR measurement method as an explanation for differences among GFR estimation equations.

Authors:  Shan-Shan Dai; Yoshinari Yasuda; Chun-Li Zhang; Masaru Horio; Li Zuo; Hai-Yan Wang
Journal:  Am J Kidney Dis       Date:  2011-06-25       Impact factor: 8.860

5.  GFR estimation using the Cockcroft-Gault, MDRD study, and CKD-EPI equations in the elderly.

Authors:  Martin Flamant; Jean-Philippe Haymann; Emmanuelle Vidal-Petiot; Emmanuel Letavernier; Christine Clerici; Jean-Jacques Boffa; François Vrtovsnik
Journal:  Am J Kidney Dis       Date:  2012-08-30       Impact factor: 8.860

Review 6.  Accuracy of cystatin C-based estimates of glomerular filtration rate in kidney transplant recipients: a systematic review.

Authors:  Gavin Harman; Ayub Akbari; Swapnil Hiremath; Christine A White; Tim Ramsay; Madzouka B Kokolo; Jeffery Craig; Greg A Knoll
Journal:  Nephrol Dial Transplant       Date:  2012-12-28       Impact factor: 5.992

7.  Estimating glomerular filtration rate from serum creatinine and cystatin C.

Authors:  Lesley A Inker; Christopher H Schmid; Hocine Tighiouart; John H Eckfeldt; Harold I Feldman; Tom Greene; John W Kusek; Jane Manzi; Frederick Van Lente; Yaping Lucy Zhang; Josef Coresh; Andrew S Levey
Journal:  N Engl J Med       Date:  2012-07-05       Impact factor: 91.245

8.  Beta-trace protein, cystatin C, beta(2)-microglobulin, and creatinine compared for detecting impaired glomerular filtration rates in children.

Authors:  Guido Filler; Friedrich Priem; Nathalie Lepage; Pranav Sinha; Ilka Vollmer; Heather Clark; Erin Keely; Mary Matzinger; Ayub Akbari; Harald Althaus; Klaus Jung
Journal:  Clin Chem       Date:  2002-05       Impact factor: 8.327

9.  Cystatin C or creatinine for detection of stage 3 chronic kidney disease in anorexia nervosa.

Authors:  Pierre Delanaye; Etienne Cavalier; Régis P Radermecker; Nicolas Paquot; Gisèle Depas; Jean-Paul Chapelle; André J Scheen; Jean-Marie Krzesinski
Journal:  Nephron Clin Pract       Date:  2008-10-27

10.  Serum cystatin C concentration compared with other markers of glomerular filtration rate in the old old.

Authors:  Nele J Van Den Noortgate; Wim H Janssens; Joris R Delanghe; Marcel B Afschrift; Norbert H Lameire
Journal:  J Am Geriatr Soc       Date:  2002-07       Impact factor: 5.562

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  38 in total

1.  Lifetime Risk of CKD: What Does It Really Mean?

Authors:  Pierre Delanaye; Richard J Glassock
Journal:  Clin J Am Soc Nephrol       Date:  2015-08-18       Impact factor: 8.237

2.  Estimating glomerular filtration rate for the full age spectrum from serum creatinine and cystatin C.

Authors:  Hans Pottel; Pierre Delanaye; Elke Schaeffner; Laurence Dubourg; Bjørn Odvar Eriksen; Toralf Melsom; Edmund J Lamb; Andrew D Rule; Stephen T Turner; Richard J Glassock; Vandréa De Souza; Luciano Selistre; Karolien Goffin; Steven Pauwels; Christophe Mariat; Martin Flamant; Natalie Ebert
Journal:  Nephrol Dial Transplant       Date:  2017-03-01       Impact factor: 5.992

3.  Creatinine Versus Cystatin C: Differing Estimates of Renal Function in Hospitalized Veterans Receiving Anticoagulants.

Authors:  Christina Hao Wang; Anna D Rubinsky; Tracy Minichiello; Michael G Shlipak; Erika Leemann Price
Journal:  J Gen Intern Med       Date:  2018-05-31       Impact factor: 5.128

4.  An Age-Calibrated Definition of Chronic Kidney Disease: Rationale and Benefits.

Authors:  Pierre Delanaye; Richard J Glassock; Hans Pottel; Andrew D Rule
Journal:  Clin Biochem Rev       Date:  2016-02

5.  Discrepancies between the Cockcroft-Gault and Chronic Kidney Disease Epidemiology (CKD-EPI) Equations: Implications for Refining Drug Dosage Adjustment Strategies.

Authors:  Pierre Delanaye; Fabrice Guerber; André Scheen; Timothy Ellam; Antoine Bouquegneau; Dorra Guergour; Christophe Mariat; Hans Pottel
Journal:  Clin Pharmacokinet       Date:  2017-02       Impact factor: 6.447

6.  Clinical value of urinary retinol-binding protein in ascites due to cirrhosis.

Authors:  Yujing Xia; Jingjing Li; Sainan Li; Tong Liu; Yuqing Zhou; Qin Yin; Jianrong Wang; Wenxia Lu; Rong Zhang; Yuanyuan Zheng; Fan Wang; Jie Lu; Kan Chen; Weiqi Dai; Yingqun Zhou; Chuanyong Guo
Journal:  Exp Ther Med       Date:  2017-09-22       Impact factor: 2.447

Review 7.  The conundrums of chronic kidney disease and aging.

Authors:  Richard J Glassock; Aleksandar Denic; Andrew D Rule
Journal:  J Nephrol       Date:  2016-11-25       Impact factor: 3.902

8.  Cisplatin dose adjustment in patients with renal impairment, which recommendations should we follow?

Authors:  Youssef Bennis; Amandine Savry; Magali Rocca; Laurence Gauthier-Villano; Pascale Pisano; Bertrand Pourroy
Journal:  Int J Clin Pharm       Date:  2014-01-17

Review 9.  The global burden of chronic kidney disease: estimates, variability and pitfalls.

Authors:  Richard J Glassock; David G Warnock; Pierre Delanaye
Journal:  Nat Rev Nephrol       Date:  2016-12-12       Impact factor: 28.314

Review 10.  Key to Opening Kidney for In Vitro-In Vivo Extrapolation Entrance in Health and Disease: Part II: Mechanistic Models and In Vitro-In Vivo Extrapolation.

Authors:  Daniel Scotcher; Christopher Jones; Maria Posada; Aleksandra Galetin; Amin Rostami-Hodjegan
Journal:  AAPS J       Date:  2016-08-09       Impact factor: 4.009

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