Literature DB >> 18633593

Performance of the revised '175' Modification of Diet in Renal Disease equation in patients with type 2 diabetes.

R A Chudleigh1, R L Ollerton, G Dunseath, R Peter, J N Harvey, S Luzio, D R Owens.   

Abstract

AIMS/HYPOTHESIS: Estimation of GFR (eGFR) is recommended for the assessment of kidney function in all patients with diabetes. We studied performance of the traditional '186' Modification of Diet in Renal Disease (MDRD) equation, and the 2005 revised '175' MDRD equation in patients with type 2 diabetes.
METHODS: Two hundred and ninety-three mainly normoalbuminuric (267/293) patients were recruited. Patients were classified as having mild renal impairment (group 1, GFR <90 ml min(-1) 1.73 m(-2)) or normal renal function (group 2, GFR >or=90 ml min(-1) 1.73 m(-2)). eGFR was calculated by the traditional 186 MDRD equation using traditional creatinine values and the revised 175 MDRD equation using isotope dilution mass spectrometry-standardised creatinine values. Isotopic GFR was measured by the four-sample plasma clearance of (51)Cr-EDTA.
RESULTS: For patients in group 1, mean +/- SD isotopic (51)Cr-EDTA GFR (iGFR) was 83.8 +/- 4.3 ml min(-1) 1.73 m(-2), and eGFR was 73.2 +/- 11.9 and 75.8 +/- 13.7 ml min(-1) 1.73 m(-2) using the 186 and 175 MDRD equations, respectively. Method bias was -10.6 with the 186 MDRD and -7.9 ml min(-1) 1.73 m(-2) (p < 0.05) with the 175 MDRD equation. In group 2, iGFR was 119.4 +/- 20.2 ml min(-1) 1.73 m(-2), and eGFR was 92.3 +/- 18.6 and 97.5 +/- 21.6 ml min(-1) 1.73 m(-2) using the 186 and 175 MDRD equations, respectively. Method bias was -27.1 with the 186 MDRD equation and -21.9 ml min(-1) 1.73 m(-2) (p < 0.05) with the 175 MDRD equation. CONCLUSIONS/
INTERPRETATION: In patients newly diagnosed with type 2 diabetes, the revised 175 MDRD equation was less biased than the traditional 186 MDRD equation. Despite a continued tendency to underestimate isotopically measured GFR, use of standardised creatinine values is a positive step towards improved estimation of GFR.

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Year:  2008        PMID: 18633593     DOI: 10.1007/s00125-008-1086-9

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  8 in total

1.  Variation in the serum creatinine assay calibration: a practical application to glomerular filtration rate estimation.

Authors:  Kalyani Murthy; Lesley A Stevens; Paul C Stark; Andrew S Levey
Journal:  Kidney Int       Date:  2005-10       Impact factor: 10.612

2.  Monitoring kidney function in type 2 diabetic patients with incipient and overt diabetic nephropathy.

Authors:  Peter Rossing; Kasper Rossing; Peter Gaede; Oluf Pedersen; Hans-Henrik Parving
Journal:  Diabetes Care       Date:  2006-05       Impact factor: 19.112

3.  Predictive performance of the modification of diet in renal disease and Cockcroft-Gault equations for estimating renal function.

Authors:  Marc Froissart; Jerome Rossert; Christian Jacquot; Michel Paillard; Pascal Houillier
Journal:  J Am Soc Nephrol       Date:  2005-01-19       Impact factor: 10.121

Review 4.  Recommendations for improving serum creatinine measurement: a report from the Laboratory Working Group of the National Kidney Disease Education Program.

Authors:  Gary L Myers; W Greg Miller; Josef Coresh; James Fleming; Neil Greenberg; Tom Greene; Thomas Hostetter; Andrew S Levey; Mauro Panteghini; Michael Welch; John H Eckfeldt
Journal:  Clin Chem       Date:  2005-12-06       Impact factor: 8.327

5.  Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate.

Authors:  Andrew S Levey; Josef Coresh; Tom Greene; Lesley A Stevens; Yaping Lucy Zhang; Stephen Hendriksen; John W Kusek; Frederick Van Lente
Journal:  Ann Intern Med       Date:  2006-08-15       Impact factor: 25.391

6.  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
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

7.  Calibration and random variation of the serum creatinine assay as critical elements of using equations to estimate glomerular filtration rate.

Authors:  Josef Coresh; Brad C Astor; Geraldine McQuillan; John Kusek; Tom Greene; Frederick Van Lente; Andrew S Levey
Journal:  Am J Kidney Dis       Date:  2002-05       Impact factor: 8.860

8.  Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation.

Authors:  K G Alberti; P Z Zimmet
Journal:  Diabet Med       Date:  1998-07       Impact factor: 4.359

  8 in total
  5 in total

1.  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

2.  Glomerular filtration rate estimation in patients with type 2 diabetes: creatinine- or cystatin C-based equations?

Authors:  F Iliadis; T Didangelos; A Ntemka; A Makedou; E Moralidis; A Gotzamani-Psarakou; T Kouloukourgiotou; D Grekas
Journal:  Diabetologia       Date:  2011-09-23       Impact factor: 10.122

Review 3.  Advances in glomerular filtration rate-estimating equations.

Authors:  Lesley A Stevens; Smita Padala; Andrew S Levey
Journal:  Curr Opin Nephrol Hypertens       Date:  2010-05       Impact factor: 2.894

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.  Population Pharmacokinetic and Exposure-Response Analysis of Finerenone: Insights Based on Phase IIb Data and Simulations to Support Dose Selection for Pivotal Trials in Type 2 Diabetes with Chronic Kidney Disease.

Authors:  Nelleke Snelder; Roland Heinig; Henk-Jan Drenth; Amer Joseph; Peter Kolkhof; Jörg Lippert; Dirk Garmann; Bart Ploeger; Thomas Eissing
Journal:  Clin Pharmacokinet       Date:  2020-03       Impact factor: 6.447

  5 in total

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