Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/16474
Title: Estimating glomerular filtration rate: performance of the CKD-EPI equation over time in patients with type 2 diabetes
Austin Authors: Wood, Anna J;Churilov, Leonid ;Perera, Nayomi;Thomas, David;Poon, Aurora M T ;MacIsaac, Richard J;Jerums, George ;Ekinci, Elif I 
Affiliation: Austin Health Endocrine Centre, Heidelberg, Victoria, Australia
Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia
RMIT University, Melbourne, Victoria, Australia
Department of Nuclear Medicine, Austin Health, Heidelberg, Victoria, Australia
Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia
Department of Endocrinology and Diabetes, St Vincent’s Hospital, The University of Melbourne, Melbourne, Victoria, Australia
Menzies School of Health Research, Darwin, Northern Territory, Australia
Issue Date: Jan-2016
metadata.dc.date: 2015-09-08
Publication information: Journal of Diabetes and its Complications 2016; 30(1): 49-54
Abstract: AIMS: To assess the performance of the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation at baseline and longitudinally in people with type 2 diabetes. METHODS: Adults with type 2 diabetes attending Austin Health, Melbourne, with≥3 prospective GFR measurements were included in this retrospective study. Plasma disappearance rate of DTPA (diethylene-triamine-penta-acetic acid) was used to calculate measured GFR (mGFR) and compared to estimated GFR (eGFR). The agreement between mGFR and eGFR was estimated using Intraclass Correlation Coefficient (ICC). RESULTS: 152 patients had a median of 4 (IQR: 3, 5) mGFR measurements over a period of 11years (IQR: 9, 12). The difference between mGFR and eGFR increased proportionally to the magnitude of the GFR, increasing by 0.2ml/min/1.73m(2) for every 1ml/min/1.73m(2) increase in mGFR, indicative of proportional bias. At lower mGFR levels, eGFR overestimated mGFR, and at higher mGFR levels, eGFR underestimated mGFR. There was a significant association between LDL cholesterol, triglycerides, HbA1c, diastolic blood pressure and the difference between mGFR and eGFR. CONCLUSIONS: The CKD-EPI formula underestimates mGFR and the rate of decline of mGFR in patients with type 2 diabetes with an mGFR greater than 60ml/min/1.73m(2). The association between LDL cholesterol, triglycerides, HbA1c, diastolic blood pressure and the difference between mGFR and eGFR warrants further study.
URI: http://ahro.austin.org.au/austinjspui/handle/1/16474
DOI: 10.1016/j.jdiacomp.2015.08.025
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/26597601
Type: Journal Article
Subjects: Type 2 diabetes
Renal function
Estimated GFR
CKD-EPI
Measured GFR
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