Elizabeth Lm Barr1, Louise J Maple-Brown2, Federica Barzi3, Jaquelyne T Hughes2, George Jerums4, Elif I Ekinci5, Andrew G Ellis4, Graham Rd Jones6, Paul D Lawton3, Cherian Sajiv7, Sandawana W Majoni8, Alex Dh Brown9, Wendy E Hoy10, Kerin O'Dea11, Alan Cass3, Richard J MacIsaac12. 1. Menzies School of Health Research, Darwin, Australia; Baker IDI Heart and Diabetes Institute, Melbourne, Australia. Electronic address: Elizabeth.Barr@menzies.edu.au. 2. Menzies School of Health Research, Darwin, Australia; Division of Medicine, Royal Darwin Hospital, Australia. 3. Menzies School of Health Research, Darwin, Australia. 4. Austin Health, Melbourne, Australia; University of Melbourne, Melbourne, Australia. 5. Menzies School of Health Research, Darwin, Australia; Austin Health, Melbourne, Australia; University of Melbourne, Melbourne, Australia. 6. SydPath, St Vincent's Hospital, Sydney, Australia; University of New South Wales, Sydney, Australia. 7. Northern Territory Renal Services, Darwin, Australia; Northern Territory Department of Health, Darwin, Australia. 8. Division of Medicine, Royal Darwin Hospital, Australia; Division of Nephrology, Royal Darwin Hospital, Australia. 9. South Australian Health and Medical Research Institute, Adelaide, Australia; University of South Australia, Adelaide, Australia. 10. University of Queensland, Brisbane, Australia. 11. University of South Australia, Adelaide, Australia. 12. St Vincent's Hospital Melbourne, Melbourne, Australia.
Abstract
BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.
BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSION: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.
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