Literature DB >> 21652537

Estimating glomerular filtration rate: comparison of the CKD-EPI and MDRD equations in a large UK cohort with particular emphasis on the effect of age.

J L Carter1, P E Stevens, J E Irving, E J Lamb.   

Abstract

BACKGROUND: The chronic kidney disease (CKD)-Epidemiology Collaboration (CKD-EPI) equation was developed to address the underestimation of measured glomerular filtration rate (GFR) by the Modification of Diet in Renal Disease (MDRD) equation at levels >60 mL/min/1.73 m(2). AIM: To assess the impact of the CKD-EPI equation on the estimation of GFR in a large adult UK population (n = 561,400), particularly looking at the effect of age.
DESIGN: Serum creatinine results (ID-MS-aligned enzymatic assay) were extracted from the pathology database during 1 year on adult (≥ 18 years) patients from primary care.
METHODS: The first available creatinine result from 174,448 people was used to estimate GFR using both equations and agreement assessed.
RESULTS: Median CKD-EPI GFR was significantly higher than median MDRD GFR (82 vs. 76 mL/min/1.73 m(2), P < 0.0001). Overall mean bias between CKD-EPI and MDRD GFR was 5.0%, ranging from 13.0% in the 18-29 years age group down to -7.5% in those aged ≥ 90 years. Although statistically significant at all age groups the difference diminished with age and the agreement in GFR category assignment increased. Age-adjusted population prevalence of CKD Stages 3-5 was lower by CKD-EPI than by MDRD (4.4% vs. 4.9%).
CONCLUSION: CKD-EPI produces higher GFR and lower CKD estimates, particularly among 18-59 year age groups with MDRD estimated GFRs of 45-59 mL/min/1.73 m(2) (Stage 3A). However, at ages >70 years there is very little difference between the equations, and among the very elderly CKD-EPI may actually increase CKD prevalence estimates.

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Year:  2011        PMID: 21652537     DOI: 10.1093/qjmed/hcr077

Source DB:  PubMed          Journal:  QJM        ISSN: 1460-2393


  32 in total

1.  Estimating glomerular filtration rate in centenarians: comparison of the chronic kidney disease epidemiology collaboration (CKD-EPI) and modification of diet in renal disease (MDRD) study equations.

Authors:  Giorgio Basile; Andrea Crucitti; Sergio Fusco; Maria D Cucinotta; Giuseppe Maltese; Antonino Catalano; Antonino Lasco
Journal:  Int Urol Nephrol       Date:  2013-08-10       Impact factor: 2.370

2.  Estimated Glomerular Filtration rate (eGFR): A Serum Creatinine-based Test for the Detection of Chronic Kidney Disease and its Impact on Clinical Practice.

Authors:  Waad-Allah S Mula-Abed
Journal:  Oman Med J       Date:  2012-07

3.  Combined application of eGFR and albuminuria for the precise diagnosis of stage 2 and 3a CKD in the elderly.

Authors:  Conghui Liu; Haiping Chen; Cuiyun Liu; Chen Fu; Hui Zhang; Huayu Yang; Peng Wang; Fan Wang; Shujun Chen; Qing Ma
Journal:  J Nephrol       Date:  2014-03-08       Impact factor: 3.902

4.  Comparison between Three Different Equations for the Estimation of Glomerular Filtration Rate in Omani Patients with Type 2 Diabetes Mellitus.

Authors:  Salima R S Al-Maqbali; Waad-Allah S Mula-Abed
Journal:  Sultan Qaboos Univ Med J       Date:  2014-04-07

5.  Comparing GFR Estimating Equations Using Cystatin C and Creatinine in Elderly Individuals.

Authors:  Li Fan; Andrew S Levey; Vilmundur Gudnason; Gudny Eiriksdottir; Margret B Andresdottir; Hrefna Gudmundsdottir; Olafur S Indridason; Runolfur Palsson; Gary Mitchell; Lesley A Inker
Journal:  J Am Soc Nephrol       Date:  2014-12-19       Impact factor: 10.121

6.  Estimated Glomerular Filtration Rate (eGFR): A Serum Creatinine-Based Test for the Detection of Chronic Kidney Disease and its Impact on Clinical Practice.

Authors:  Waad-Allah S Mula-Abed; Khalid Al Rasadi; Dawood Al-Riyami
Journal:  Oman Med J       Date:  2012-03

7.  Renal functional impairment in the elderly, the importance of fasting plasma glucose: the Northern Shanghai Study.

Authors:  Ximin Fan; Jiadela Teliewubai; Jing Xiong; Chen Chi; Yuyan Lu; Mengyun Zhu; Yi Zhang; Yawei Xu
Journal:  Aging Clin Exp Res       Date:  2020-03-21       Impact factor: 3.636

8.  Relationship between kidney findings and systemic vascular damage in elderly hypertensive patients without overt cardiovascular disease.

Authors:  Giulio Geraci; Giuseppe Mulè; Gabriella Paladino; Marta Maria Zammuto; Antonella Castiglia; Emilia Scaduto; Federica Zotta; Calogero Geraci; Antonio Granata; Pasquale Mansueto; Santina Cottone
Journal:  J Clin Hypertens (Greenwich)       Date:  2017-11-29       Impact factor: 3.738

9.  Risk stratification by 24-hour ambulatory blood pressure and estimated glomerular filtration rate in 5322 subjects from 11 populations.

Authors:  José Boggia; Lutgarde Thijs; Yan Li; Tine W Hansen; Masahiro Kikuya; Kristina Björklund-Bodegård; Takayoshi Ohkubo; Jørgen Jeppesen; Christian Torp-Pedersen; Eamon Dolan; Tatiana Kuznetsova; Katarzyna Stolarz-Skrzypek; Valérie Tikhonoff; Sofia Malyutina; Edoardo Casiglia; Yuri Nikitin; Lars Lind; Emma Schwedt; Edgardo Sandoya; Kalina Kawecka-Jaszcz; Jan Filipovsky; Yutaka Imai; Jiguang Wang; Hans Ibsen; Eoin O'Brien; Jan A Staessen
Journal:  Hypertension       Date:  2012-11-19       Impact factor: 10.190

10.  Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate.

Authors:  Kunihiro Matsushita; Bakhtawar K Mahmoodi; Mark Woodward; Jonathan R Emberson; Tazeen H Jafar; Sun Ha Jee; Kevan R Polkinghorne; Anoop Shankar; David H Smith; Marcello Tonelli; David G Warnock; Chi-Pang Wen; Josef Coresh; Ron T Gansevoort; Brenda R Hemmelgarn; Andrew S Levey
Journal:  JAMA       Date:  2012-05-09       Impact factor: 56.272

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