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 Field | Value | Language |
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dc.contributor.author | Barr, Elizabeth Lm | - |
dc.contributor.author | Maple-Brown, Louise J | - |
dc.contributor.author | Barzi, Federica | - |
dc.contributor.author | Hughes, Jaquelyne T | - |
dc.contributor.author | Jerums, George | - |
dc.contributor.author | Ekinci, Elif I | - |
dc.contributor.author | Ellis, Andrew G | - |
dc.contributor.author | Jones, Graham Rd | - |
dc.contributor.author | Lawton, Paul D | - |
dc.contributor.author | Sajiv, Cherian | - |
dc.contributor.author | Majoni, Sandawana W | - |
dc.contributor.author | Brown, Alex Dh | - |
dc.contributor.author | Hoy, Wendy E | - |
dc.contributor.author | O'Dea, Kerin | - |
dc.contributor.author | Cass, Alan | - |
dc.contributor.author | MacIsaac, Richard J | - |
dc.date | 2016-11-25 | - |
dc.date.accessioned | 2018-09-13T00:21:05Z | - |
dc.date.available | 2018-09-13T00:21:05Z | - |
dc.date.issued | 2017-04 | - |
dc.identifier.citation | Clinical Biochemistry 2017; 50(6): 301-308 | en_US |
dc.identifier.uri | https://ahro.austin.org.au/austinjspui/handle/1/19126 | - |
dc.description.abstract | The 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.iso | eng | - |
dc.subject | CKD-EPI equation | en_US |
dc.subject | Creatinine | en_US |
dc.subject | Cystatin C | en_US |
dc.subject | GFR | en_US |
dc.subject | Indigenous | en_US |
dc.title | Comparison of creatinine and cystatin C based eGFR in the estimation of glomerular filtration rate in Indigenous Australians: The eGFR Study. | en_US |
dc.type | Journal Article | en_US |
dc.identifier.journaltitle | Clinical Biochemistry | en_US |
dc.identifier.affiliation | South Australian Health and Medical Research Institute, Adelaide, Australia | en_US |
dc.identifier.affiliation | Baker IDI Heart and Diabetes Institute, Melbourne, Australia | en_US |
dc.identifier.affiliation | Menzies School of Health Research, Darwin, Australia | en_US |
dc.identifier.affiliation | University of Queensland, Brisbane, Australia | en_US |
dc.identifier.affiliation | University of South Australia, Adelaide, Australia | en_US |
dc.identifier.affiliation | St Vincent's Hospital Melbourne, Melbourne, Australia | en_US |
dc.identifier.affiliation | Austin Health | en_US |
dc.identifier.affiliation | University of Melbourne, Melbourne, Australia | en_US |
dc.identifier.affiliation | SydPath, St Vincent's Hospital, Sydney, Australia | en_US |
dc.identifier.affiliation | University of New South Wales, Sydney, Australia | en_US |
dc.identifier.affiliation | Northern Territory Renal Services, Darwin, Australia | en_US |
dc.identifier.affiliation | Northern Territory Department of Health, Darwin, Australia | en_US |
dc.identifier.affiliation | Division of Medicine, Royal Darwin Hospital, Australia | en_US |
dc.identifier.affiliation | Division of Nephrology, Royal Darwin Hospital, Australia | en_US |
dc.identifier.doi | 10.1016/j.clinbiochem.2016.11.024 | en_US |
dc.type.content | Text | en_US |
dc.identifier.orcid | 0000-0003-2372-395X | en_US |
dc.identifier.pubmedid | 27894952 | - |
dc.type.austin | Comparative Study | - |
dc.type.austin | Journal Article | - |
local.name.researcher | Ekinci, Elif I | |
item.openairetype | Journal Article | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Endocrinology | - |
crisitem.author.dept | Endocrinology | - |
crisitem.author.dept | Medicine (University of Melbourne) | - |
Appears in Collections: | Journal articles |
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