Literature DB >> 17855641

Evaluation of the modification of diet in renal disease study equation in a large diverse population.

Lesley A Stevens1, Josef Coresh, Harold I Feldman, Tom Greene, James P Lash, Robert G Nelson, Mahboob Rahman, Amy E Deysher, Yaping Lucy Zhang, Christopher H Schmid, Andrew S Levey.   

Abstract

Glomerular filtration rate (GFR) estimates facilitate detection of chronic kidney disease. Performance of the Modification of Diet in Renal Disease (MDRD) Study equation varies substantially among populations. To describe the performance of the equation in a large, diverse population, estimated GFR (eGFR) was compared to measured GFR (mGFR) in a cross-sectional analysis of 5504 participants in 10 studies that included measurements of standardized serum creatinine and urinary clearance of iothalamate. At eGFR <60 ml/min per 1.73 m(2), the MDRD Study equation had lower bias and higher precision than at eGFR > or =60 ml/min per 1.73 m(2). The accuracy of the equation, measured by the percent of estimates that fell within 30% of mGFR, was similar for eGFR values above or below 60 ml/min per 1.73 m(2) (82% and 84%, respectively). Differences in performance among subgroups defined by age, sex, race, diabetes, transplant status, and body mass index were small when eGFR was <60 ml/min per 1.73 m(2). The MDRD Study equation therefore provides unbiased and reasonably accurate estimates across a wide range of subgroups when eGFR is <60 ml/min per 1.73 m(2). In individual patients, interpretation of GFR estimates near 60 ml/min per 1.73 m(2) should be interpreted with caution to avoid misclassification of chronic kidney disease in the context of the clinical setting.

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Year:  2007        PMID: 17855641     DOI: 10.1681/ASN.2007020199

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  165 in total

1.  Imprecision of urinary iothalamate clearance as a gold-standard measure of GFR decreases the diagnostic accuracy of kidney function estimating equations.

Authors:  Yuen-Ting Diana Kwong; Lesley A Stevens; Elizabeth Selvin; Yaping Lucy Zhang; Tom Greene; Frederick Van Lente; Andrew S Levey; Josef Coresh
Journal:  Am J Kidney Dis       Date:  2010-07       Impact factor: 8.860

2.  A Case for Early Screening for Diabetic Kidney Disease.

Authors:  Adam Whaley-Connell; Kunal Chaudhary; Madhukar Misra; Ramesh Khanna
Journal:  Cardiorenal Med       Date:  2011-10-05       Impact factor: 2.041

3.  Risk of nephrogenic systemic fibrosis in patients with impaired renal function undergoing fixed-dose gadoxetic acid-enhanced magnetic resonance imaging.

Authors:  Ti-Yung Tseng; Jeng-Hwei Tseng; Bing-Shen Huang; Shen-Yen Lin; Chun-Bing Chen; Yi-Wen Fang; Gigin Lin; Ying-Chieh Lai
Journal:  Abdom Radiol (NY)       Date:  2021-03-20

4.  Performance of the Japanese GFR equation in potential kidney donors.

Authors:  Masaru Horio; Yoshinari Yasuda; Jyunya Kaimori; Naotsugu Ichimaru; Yoshitaka Isaka; Shiro Takahara; Shinichi Nishi; Kazuharu Uchida; Asami Takeda; Ryohei Hattori; Hidehisa Kitada; Kazuhiko Tsuruya; Enyu Imai; Kota Takahashi; Tsuyoshi Watanabe; Seiichi Matsuo
Journal:  Clin Exp Nephrol       Date:  2012-01-24       Impact factor: 2.801

5.  Prevalence of CKD and comorbid illness in elderly patients in the United States: results from the Kidney Early Evaluation Program (KEEP).

Authors:  Lesley A Stevens; Suying Li; Changchun Wang; Cindy Huang; Bryan N Becker; Andrew S Bomback; Wendy Weinstock Brown; Nilka Ríos Burrows; Claudine T Jurkovitz; Samy I McFarlane; Keith C Norris; Michael Shlipak; Adam T Whaley-Connell; Shu-Cheng Chen; George L Bakris; Peter A McCullough
Journal:  Am J Kidney Dis       Date:  2010-03       Impact factor: 8.860

6.  Estimating GFR using the CKD Epidemiology Collaboration (CKD-EPI) creatinine equation: more accurate GFR estimates, lower CKD prevalence estimates, and better risk predictions.

Authors:  Andrew S Levey; Lesley A Stevens
Journal:  Am J Kidney Dis       Date:  2010-04       Impact factor: 8.860

7.  Age-dependent error in creatinine clearance estimated by Cockcroft-Gault equation for the elderly patients in a Japanese hospital: a cross-sectional study.

Authors:  Mitsuhiro Matsuo; Fuminori Yamagishi
Journal:  J Anesth       Date:  2019-01-02       Impact factor: 2.078

8.  Prevalence of CKD in the United States: a sensitivity analysis using the National Health and Nutrition Examination Survey (NHANES) 1999-2004.

Authors:  Jon J Snyder; Robert N Foley; Allan J Collins
Journal:  Am J Kidney Dis       Date:  2008-10-31       Impact factor: 8.860

9.  eGFR: is it ready for early identification of CKD?

Authors:  Michal L Melamed; Carolyn Bauer; Thomas H Hostetter
Journal:  Clin J Am Soc Nephrol       Date:  2008-07-30       Impact factor: 8.237

10.  Screening for CKD with eGFR: doubts and dangers.

Authors:  Richard J Glassock; Christopher Winearls
Journal:  Clin J Am Soc Nephrol       Date:  2008-07-30       Impact factor: 8.237

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