Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/19126
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dc.contributor.authorBarr, Elizabeth Lm-
dc.contributor.authorMaple-Brown, Louise J-
dc.contributor.authorBarzi, Federica-
dc.contributor.authorHughes, Jaquelyne T-
dc.contributor.authorJerums, George-
dc.contributor.authorEkinci, Elif I-
dc.contributor.authorEllis, Andrew G-
dc.contributor.authorJones, Graham Rd-
dc.contributor.authorLawton, Paul D-
dc.contributor.authorSajiv, Cherian-
dc.contributor.authorMajoni, Sandawana W-
dc.contributor.authorBrown, Alex Dh-
dc.contributor.authorHoy, Wendy E-
dc.contributor.authorO'Dea, Kerin-
dc.contributor.authorCass, Alan-
dc.contributor.authorMacIsaac, Richard J-
dc.date2016-11-25-
dc.date.accessioned2018-09-13T00:21:05Z-
dc.date.available2018-09-13T00:21:05Z-
dc.date.issued2017-04-
dc.identifier.citationClinical Biochemistry 2017; 50(6): 301-308en_US
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/19126-
dc.description.abstractThe Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation that combines creatinine and cystatin C is superior to equations that include either measure alone in estimating glomerular filtration rate (GFR). However, whether cystatin C can provide any additional benefits in estimating GFR for Indigenous Australians, a population at high risk of end-stage kidney disease (ESKD) is unknown. Using a cross-sectional analysis from the eGFR Study of 654 Indigenous Australians at high risk of ESKD, eGFR was calculated using the CKD-EPI equations for serum creatinine (eGFRcr), cystatin C (eGFRcysC) and combined creatinine and cystatin C (eGFRcysC+cr). Reference GFR (mGFR) was determined using a non-isotopic iohexol plasma disappearance technique over 4h. Performance of each equation to mGFR was assessed by calculating bias, % bias, precision and accuracy for the total population, and according to age, sex, kidney disease, diabetes, obesity and c-reactive protein. Data were available for 542 participants (38% men, mean [sd] age 45 [14] years). Bias was significantly greater for eGFRcysC (15.0mL/min/1.73m2; 95% CI 13.3-16.4, p<0.001) and eGFRcysC+cr (10.3; 8.8-11.5, p<0.001) compared to eGFRcr (5.4; 3.0-7.2). Accuracy was lower for eGFRcysC (80.3%; 76.7-83.5, p<0.001) but not for eGFRcysC+cr (91.9; 89.3-94.0, p=0.29) compared to eGFRcr (90.0; 87.2-92.4). Precision was comparable for all equations. The performance of eGFRcysC deteriorated across increasing levels of c-reactive protein. Cystatin C based eGFR equations may not perform well in populations with high levels of chronic inflammation. CKD-EPI eGFR based on serum creatinine remains the preferred equation in Indigenous Australians.en_US
dc.language.isoeng-
dc.subjectCKD-EPI equationen_US
dc.subjectCreatinineen_US
dc.subjectCystatin Cen_US
dc.subjectGFRen_US
dc.subjectIndigenousen_US
dc.titleComparison of creatinine and cystatin C based eGFR in the estimation of glomerular filtration rate in Indigenous Australians: The eGFR Study.en_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleClinical Biochemistryen_US
dc.identifier.affiliationSouth Australian Health and Medical Research Institute, Adelaide, Australiaen_US
dc.identifier.affiliationBaker IDI Heart and Diabetes Institute, Melbourne, Australiaen_US
dc.identifier.affiliationMenzies School of Health Research, Darwin, Australiaen_US
dc.identifier.affiliationUniversity of Queensland, Brisbane, Australiaen_US
dc.identifier.affiliationUniversity of South Australia, Adelaide, Australiaen_US
dc.identifier.affiliationSt Vincent's Hospital Melbourne, Melbourne, Australiaen_US
dc.identifier.affiliationAustin Healthen_US
dc.identifier.affiliationUniversity of Melbourne, Melbourne, Australiaen_US
dc.identifier.affiliationSydPath, St Vincent's Hospital, Sydney, Australiaen_US
dc.identifier.affiliationUniversity of New South Wales, Sydney, Australiaen_US
dc.identifier.affiliationNorthern Territory Renal Services, Darwin, Australiaen_US
dc.identifier.affiliationNorthern Territory Department of Health, Darwin, Australiaen_US
dc.identifier.affiliationDivision of Medicine, Royal Darwin Hospital, Australiaen_US
dc.identifier.affiliationDivision of Nephrology, Royal Darwin Hospital, Australiaen_US
dc.identifier.doi10.1016/j.clinbiochem.2016.11.024en_US
dc.type.contentTexten_US
dc.identifier.orcid0000-0003-2372-395Xen_US
dc.identifier.pubmedid27894952-
dc.type.austinComparative Study-
dc.type.austinJournal Article-
local.name.researcherEkinci, Elif I
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.openairetypeJournal Article-
item.fulltextNo Fulltext-
crisitem.author.deptEndocrinology-
crisitem.author.deptEndocrinology-
crisitem.author.deptMedicine (University of Melbourne)-
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