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Title: | Comparison of creatinine and cystatin C based eGFR in the estimation of glomerular filtration rate in Indigenous Australians: The eGFR Study. | Austin Authors: | Barr, Elizabeth Lm;Maple-Brown, Louise J;Barzi, Federica;Hughes, Jaquelyne T;Jerums, George ;Ekinci, Elif I ;Ellis, Andrew G ;Jones, Graham Rd;Lawton, Paul D;Sajiv, Cherian;Majoni, Sandawana W;Brown, Alex Dh;Hoy, Wendy E;O'Dea, Kerin;Cass, Alan;MacIsaac, Richard J | Affiliation: | South Australian Health and Medical Research Institute, Adelaide, Australia Baker IDI Heart and Diabetes Institute, Melbourne, Australia Menzies School of Health Research, Darwin, Australia University of Queensland, Brisbane, Australia University of South Australia, Adelaide, Australia St Vincent's Hospital Melbourne, Melbourne, Australia Austin Health University of Melbourne, Melbourne, Australia SydPath, St Vincent's Hospital, Sydney, Australia University of New South Wales, Sydney, Australia Northern Territory Renal Services, Darwin, Australia Northern Territory Department of Health, Darwin, Australia Division of Medicine, Royal Darwin Hospital, Australia Division of Nephrology, Royal Darwin Hospital, Australia |
Issue Date: | Apr-2017 | Date: | 2016-11-25 | Publication information: | Clinical Biochemistry 2017; 50(6): 301-308 | 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. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/19126 | DOI: | 10.1016/j.clinbiochem.2016.11.024 | ORCID: | 0000-0003-2372-395X |
Journal: | Clinical Biochemistry | PubMed URL: | 27894952 | Type: | Journal Article | Subjects: | CKD-EPI equation Creatinine Cystatin C GFR Indigenous |
Appears in Collections: | Journal articles |
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