{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T08:21:07Z","timestamp":1768810867394,"version":"3.49.0"},"reference-count":49,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2011,6,28]],"date-time":"2011-06-28T00:00:00Z","timestamp":1309219200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Nephrology"],"published-print":{"date-parts":[[2011,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:p><jats:bold>Background:\u2003<\/jats:bold> Early identification of true renal disease (glomerular filtration rate (GFR)\u2003&lt;\u200360\u2003mL\/min) results in better patient outcomes. There is now routine reporting in Australia of estimated GFR (eGFR) in all patients over age 18 who have serum creatinine measured, calculated by the Modification of Diet in Renal Disease (MDRD) formula, which was validated in an American Caucasian cohort. Significant clinical decisions and prognosis are often made on the basis of this calculation.<\/jats:p><jats:p><jats:bold>Aim:\u2003<\/jats:bold> To assess the accuracy of three estimates of GFR in an Australian population by comparing eGFR obtained by the abbreviated MDRD (aMDRD), Cockcroft\u2013Gault corrected for body surface area (BSA) (CG) and Chronic Kidney Disease Epidemiology (CKD\u2010Epi) formulae with a gold standard, isotopic <jats:sup>51<\/jats:sup>Cr\u2010ethylenediaminetetra\u2010acetic acid (<jats:sup>51<\/jats:sup>Cr\u2010EDTA) GFR.<\/jats:p><jats:p><jats:bold>Methods:\u2003<\/jats:bold> Patients referred with an eGFR of &lt;60\u2003mL\/min reported by the aMDRD formula underwent isotopic measurement of GFR (over 4\u2003h) and had eGFR calculated using CG corrected for BSA, aMDRD and CKD\u2010Epi formulae. Data were analysed using Bland\u2013Altman plots and regression analysis to compare methods; bias, precision and the proportion of patients correctly stratified by stage of chronic kidney disease (CKD) were also compared according to the three estimates of GFR, using <jats:sup>51<\/jats:sup>Cr\u2010EDTA GFR as the gold standard.<\/jats:p><jats:p><jats:bold>Results:\u2003<\/jats:bold> A total of 139 patients were recruited (female 45%), mean age 64\u2003years and mean serum creatinine 212\u2003\u00b5mol\/L. The mean GFR (SD) (mL\/min per m<jats:sup>2<\/jats:sup>) for isotopic, CG, aMDRD and CKD\u2010Epi were 47 (28), 37 (20), 32 (17) and 33 (18) (<jats:italic>P<\/jats:italic>\u2003=\u20030.001). CG (57%) was more likely to correctly stage CKD than aMDRD (37%) or CKD\u2010Epi (37%), and absolute bias was significantly lower using CG than either other method (<jats:italic>P<\/jats:italic>\u2003=\u20030.001).<\/jats:p><jats:p><jats:bold>Conclusion:\u2003<\/jats:bold> In this small Australian population the CG formula corrected for BSA agreed more closely with isotopic GFR and correctly staged patients with CKD more often than the aMDRD or CKD\u2010Epi formulae. It is important that each renal Unit considers the accuracy of estimates of GFR according to their population demographics.<\/jats:p>","DOI":"10.1111\/j.1440-1797.2011.01453.x","type":"journal-article","created":{"date-parts":[[2011,2,26]],"date-time":"2011-02-26T15:57:41Z","timestamp":1298735861000},"page":"486-494","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Inaccuracies in estimated glomerular filtration rate in one Australian renal centre"],"prefix":"10.1111","volume":"16","author":[{"given":"MARK A","family":"BROWN","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"SAIYINI","family":"PIRABHAHAR","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"JOHN J","family":"KELLY","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"GEORGE J","family":"MANGOS","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"CALLIE","family":"MACKENZIE","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"PETER","family":"MCCONACHIE","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"JULIA","family":"JANSSEN","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"RICHARD C","family":"SMART","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2011,6,28]]},"reference":[{"key":"e_1_2_5_2_2","doi-asserted-by":"publisher","DOI":"10.1097\/01.ASN.0000070152.11927.4A"},{"key":"e_1_2_5_3_2","volume-title":"AusDiab 2005: The Australian Diabetes, Obesity and Lifestyle Study","author":"Barr ELM","year":"2006"},{"key":"e_1_2_5_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(00)04728-0"},{"key":"e_1_2_5_5_2","doi-asserted-by":"publisher","DOI":"10.1046\/j.1523-1755.2001.00792.x"},{"key":"e_1_2_5_6_2","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-137-6-200209170-00007"},{"key":"e_1_2_5_7_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1444-0903.2004.t01-6-.x"},{"key":"e_1_2_5_8_2","doi-asserted-by":"publisher","DOI":"10.1097\/01.mnm.0000136715.71820.4a"},{"key":"e_1_2_5_9_2","doi-asserted-by":"publisher","DOI":"10.3109\/00365516909081695"},{"key":"e_1_2_5_10_2","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-130-6-199903160-00002"},{"key":"e_1_2_5_11_2","doi-asserted-by":"publisher","DOI":"10.1681\/ASN.2004070549"},{"key":"e_1_2_5_12_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-6143.2005.00861.x"},{"key":"e_1_2_5_13_2","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-150-9-200905050-00006"},{"key":"e_1_2_5_14_2","doi-asserted-by":"publisher","DOI":"10.5694\/j.1326-5377.2009.tb02349.x"},{"key":"e_1_2_5_15_2","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1159\/000180580","article-title":"Prediction of creatinine clearance from serum creatinine","volume":"16","author":"Cockcroft DW","year":"1975","journal-title":"Nephron"},{"key":"e_1_2_5_16_2","doi-asserted-by":"publisher","DOI":"10.5694\/j.1326-5377.2006.tb00536.x"},{"key":"e_1_2_5_17_2","doi-asserted-by":"publisher","DOI":"10.1001\/archinte.1916.00080130010002"},{"key":"e_1_2_5_18_2","doi-asserted-by":"publisher","DOI":"10.5694\/j.1326-5377.2007.tb01357.x"},{"key":"e_1_2_5_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(86)90837-8"},{"key":"e_1_2_5_20_2","doi-asserted-by":"publisher","DOI":"10.1097\/01.ASN.0000070076.01798.0D"},{"key":"e_1_2_5_21_2","volume-title":"Comorbidity of Cardiovascular Disease, Diabetes and Chronic Kidney Disease in Australia","author":"AIHW (Australian Institute of Health and Welfare)","year":"2007"},{"key":"e_1_2_5_22_2","volume-title":"The Thirtieth ANZDATA Registry Report","author":"McDonald S","year":"2008"},{"key":"e_1_2_5_23_2","volume-title":"An Overview of Chronic Kidney Disease in Australia, 2009","author":"AIHW","year":"2009"},{"key":"e_1_2_5_24_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF02258429"},{"key":"e_1_2_5_25_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF00817277"},{"key":"e_1_2_5_26_2","doi-asserted-by":"publisher","DOI":"10.1038\/ki.1985.3"},{"key":"e_1_2_5_27_2","doi-asserted-by":"publisher","DOI":"10.1042\/cs0660613"},{"key":"e_1_2_5_28_2","doi-asserted-by":"publisher","DOI":"10.1097\/00004872-199917030-00002"},{"key":"e_1_2_5_29_2","first-page":"S1","article-title":"K\/DOQI Clinical practice guidelines to define chronic kidney disease: Evaluation, classification and stratification","volume":"39","author":"National Kidney Foundation","year":"2002","journal-title":"Am. 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