Literature DB >> 24598003

Performance of formulas for estimating glomerular filtration rate in Indigenous Australians with and without Type 2 diabetes: the eGFR Study.

L J Maple-Brown1, E I Ekinci, J T Hughes, M Chatfield, P D Lawton, G R D Jones, A G Ellis, A Sinha, A Cass, W E Hoy, K O'Dea, G Jerums, R J MacIsaac.   

Abstract

AIMS: It has been proposed that the Chronic Kidney Disease Epidemiology Collaboration formula estimates glomerular filtration rate more accurately than the Modification of Diet in Renal Disease formula. With the very high incidence of diabetes and end-stage kidney disease in Indigenous Australians, accurate estimation of glomerular filtration rate is vital in early detection of kidney disease. We aimed to assess the performance of the Chronic Kidney Disease Epidemiology Collaboration, Modification of Diet in Renal Disease and Cockcroft-Gault formulas in Indigenous Australians with and without diabetes.
METHODS: Indigenous Australians with (n = 224) or without (n = 340) Type 2 diabetes had a reference glomerular filtration rate measure using plasma disappearance of iohexol (measured glomerular filtration rate) over 4 h. Serum creatinine was measured by an enzymatic method. Performance was assessed by bias (measured glomerular filtration rate - estimated glomerular filtration rate) and accuracy (percentage of estimated glomerular filtration rate within 30% of measured glomerular filtration rate).
RESULTS: The median measured glomerular filtration rate (interquartile range) in participants with or without diabetes was 97 (68-119) and 108 (90-122) ml min(-1)  1.73 m(-2) , respectively. The Chronic Kidney Disease Epidemiology Collaboration formula had smaller bias and greater accuracy than the Modification of Diet in Renal Disease and Cockcroft-Gault formulas overall, for participants both with and without diabetes. However, for estimated glomerular filtration rate > 90 ml min(-1)  1.73 m(-2) , the Chronic Kidney Disease Epidemiology Collaboration formula had greater bias in participants with diabetes, underestimating measured glomerular filtration rate by 7.4 vs. 1.0 ml min(-1)  1.73 m(-2) in those without diabetes. The Chronic Kidney Disease Epidemiology Collaboration formula was less accurate across the whole range of estimated glomerular filtration rates in participants with vs. those without diabetes (87.1% vs. 93.3%).
CONCLUSIONS: The Chronic Kidney Disease Epidemiology Collaboration formula outperforms the Modification of Diet in Renal Disease and Cockcroft-Gault formulas overall in Indigenous Australians with and without diabetes. However, the Chronic Kidney Disease Epidemiology Collaboration formula has greater bias in people with diabetes compared with those without diabetes, especially in those with normal renal function.
© 2014 The Authors. Diabetic Medicine © 2014 Diabetes UK.

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Year:  2014        PMID: 24598003     DOI: 10.1111/dme.12426

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  10 in total

Review 1.  Methods of Estimating Kidney Function for Drug Dosing in Special Populations.

Authors:  Laura A Hart; Gail D Anderson
Journal:  Clin Pharmacokinet       Date:  2018-08       Impact factor: 6.447

2.  The Association between HbA1c and Cardiovascular Disease Markers in a Remote Indigenous Australian Community with and without Diagnosed Diabetes.

Authors:  Luke W Arnold; Wendy E Hoy; Suresh K Sharma; Zhiqiang Wang
Journal:  J Diabetes Res       Date:  2016-02-17       Impact factor: 4.011

3.  Diagnostic value of the Modification of Diet in Renal Disease and Chronic Kidney Disease Epidemiology Collaboration equations in diabetic patients: a systematic review and meta-analysis.

Authors:  Xie Lingli; Zhang Qing; Xia Wenfang
Journal:  J Int Med Res       Date:  2020-06       Impact factor: 1.671

4.  Baseline liver function tests and full blood count indices and their association with progression of chronic kidney disease and renal outcomes in Aboriginal and Torres Strait Islander people: the eGFR follow- up study.

Authors:  Sandawana William Majoni; Federica Barzi; Wendy Hoy; Richard J MacIsaac; Alan Cass; Louise Maple-Brown; Jaquelyne T Hughes
Journal:  BMC Nephrol       Date:  2020-12-01       Impact factor: 2.388

5.  Birthweight and the Prevalence, Progression, and Incidence of CKD in a Multideterminant Model in a High-Risk Australian Aboriginal Community.

Authors:  Wendy E Hoy; Cheryl E Swanson; Susan A Mott
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6.  Change of renal function after short-term use of cardioprotective agents in patients with type 2 diabetes is not accurately assessed by the change of estimated glomerular filtration rate: an observational study.

Authors:  Julie Kolwelter; Kristina Striepe; Agnes Bosch; Dennis Kannenkeril; Christian Ott; Mario Schiffer; Roland E Schmieder
Journal:  Diabetol Metab Syndr       Date:  2022-07-21       Impact factor: 5.395

Review 7.  Bedside-to-Bench Translational Research for Chronic Heart Failure: Creating an Agenda for Clients Who Do Not Meet Trial Enrollment Criteria.

Authors:  P Iyngkaran; M Thomas
Journal:  Clin Med Insights Cardiol       Date:  2015-08-05

8.  The Chronic Kidney Disease-Epidemiology Collaboration (CKD-EPI) equation does not improve the underestimation of Glomerular Filtration Rate (GFR) in people with diabetes and preserved renal function.

Authors:  Richard J MacIsaac; Elif I Ekinci; Erosha Premaratne; Zhong X Lu; Jas-Mine Seah; Yue Li; Ray Boston; Glenn M Ward; George Jerums
Journal:  BMC Nephrol       Date:  2015-12-03       Impact factor: 2.388

Review 9.  Clinical predictive factors in diabetic kidney disease progression.

Authors:  Nicholas J Radcliffe; Jas-Mine Seah; Michele Clarke; Richard J MacIsaac; George Jerums; Elif I Ekinci
Journal:  J Diabetes Investig       Date:  2016-06-08       Impact factor: 4.232

10.  Diagnostic performance of the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation at estimating glomerular filtration rate in adults with diabetes mellitus: a systematic review and meta-analysis protocol.

Authors:  Neda Zafari; Leonid Churilov; Richard J MacIsaac; Niloufar Torkamani; Helen Baxter; Katerina V Kiburg; Elif Ekinci
Journal:  BMJ Open       Date:  2019-08-30       Impact factor: 2.692

  10 in total

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