Literature DB >> 21941179

Creatinine-based formulae for estimating glomerular filtration rate: is it time to change to chronic kidney disease epidemiology collaboration equation?

Magdalena Madero1, Mark J Sarnak.   

Abstract

PURPOSE OF REVIEW: To discuss the most commonly used creatinine-based glomerular filtration rate (GFR) estimating equations, focus on the modification of diet in renal disease (MDRD) equation and the chronic kidney disease epidemiology collaboration (CKD-EPI) equation, and review studies that have directly compared their performance, estimated the prevalence of chronic kidney disease (CKD), and assessed prognosis related to each equation. RECENT
FINDINGS: The CKD-EPI equation was published in 2009 and appears to be more generalizable and accurate for estimating GFR in comparison with the MDRD equation. Compared with the MDRD study equation, the CKD-EPI equation results in a lower prevalence of CKD and a more accurate assessment of prognosis, particularly when estimated GFR is greater than 60 ml/min/1.73 m(2).
SUMMARY: The CKD-EPI equation appears to be a more generalizable and accurate equation for estimating GFR in comparison with the MDRD equation. Additional studies in subgroups such as the elderly, in the general population where individuals are not selected for being at high risk of CKD, and across different race/ethnic populations are needed in order to further generalize these findings. In the meantime, there is accumulating evidence to support the recommendation that the CKD-EPI equation should replace the MDRD equation.

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Year:  2011        PMID: 21941179     DOI: 10.1097/MNH.0b013e32834ba210

Source DB:  PubMed          Journal:  Curr Opin Nephrol Hypertens        ISSN: 1062-4821            Impact factor:   2.894


  18 in total

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Authors:  Don Kyoung Choi; See Min Choi; Bong Hee Park; Byong Chang Jeong; Seong Il Seo; Seong Soo Jeon; Hyun Moo Lee; Han-Yong Choi; Hwang Gyun Jeon
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2.  Underlying renal insufficiency: the pivotal risk factor for Pneumocystis jirovecii pneumonia in immunosuppressed patients with non-transplant glomerular disease.

Authors:  Wen-Ling Ye; Nan Tang; Yu-Bing Wen; Hang Li; Min-Xi Li; Bin Du; Xue-Mei Li
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3.  Association between renal function and chemotherapy-related toxicity in older adults with cancer.

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Journal:  J Geriatr Oncol       Date:  2016-11-14       Impact factor: 3.599

4.  Evaluation of the serum cystatin C values in prediction of indications for hemodialysis in patients with chronic renal failure.

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Review 5.  Methods of Estimating Kidney Function for Drug Dosing in Special Populations.

Authors:  Laura A Hart; Gail D Anderson
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6.  Assessment of adult formulas for glomerular filtration rate estimation in children.

Authors:  Hassib Chehade; Eric Girardin; Katia Iglesias; Pascal Ramseyer; Peter Frey; Daniel Bardy; Dolores Mosig; Francois Cachat
Journal:  Pediatr Nephrol       Date:  2012-09-13       Impact factor: 3.714

7.  Impact on cardiovascular risk follow-up from a shift to the CKD-EPI formula for eGFR reporting: a cross-sectional population-based primary care study.

Authors:  Vincent A van Gelder; Nynke D Scherpbier-de Haan; Wim J C de Grauw; Christopher A O'Callaghan; Jack F M Wetzels; Daniel S Lasserson
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8.  Prognostic Values of Three Equations in Estimating Glomerular Filtration Rates of Patients Undergoing Off-Pump Coronary Artery Bypass Grafting.

Authors:  Zhi Li; Wen Ge; Chunyan Han; Mengwei Lv; Yanzhong He; Juntao Su; Ban Liu; Yangyang Zhang
Journal:  Ther Clin Risk Manag       Date:  2020-05-21       Impact factor: 2.423

9.  Performance of Cockcroft-Gault, MDRD, and CKD-EPI in estimating prevalence of renal function and predicting survival in the oldest old.

Authors:  Jorien M Willems; Tom Vlasveld; Wendy P J den Elzen; Rudi G J Westendorp; Ton J Rabelink; Anton J M de Craen; Gerard J Blauw
Journal:  BMC Geriatr       Date:  2013-10-25       Impact factor: 3.921

10.  Integrative analyses of hepatic differentially expressed genes and blood biomarkers during the peripartal period between dairy cows overfed or restricted-fed energy prepartum.

Authors:  Khuram Shahzad; Massimo Bionaz; Erminio Trevisi; Giuseppe Bertoni; Sandra L Rodriguez-Zas; Juan J Loor
Journal:  PLoS One       Date:  2014-06-10       Impact factor: 3.240

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