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Performance of the Chronic Kidney Disease Epidemiology Collaboration Equation to Estimate Glomerular Filtration Rate in Diabetic Patients
OBJECTIVE: The best method to estimate glomerular filtration rate (GFR) in diabetic patients is still largely debated. We compared the performance of creatinine-based formulas in a European diabetic population. RESEARCH DESIGN AND METHODS: We compared the performance of Cockcroft and Gault, simplifi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Diabetes Association
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3114318/ https://www.ncbi.nlm.nih.gov/pubmed/21540431 http://dx.doi.org/10.2337/dc11-0203 |
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author | Rognant, Nicolas Lemoine, Sandrine Laville, Martine Hadj-Aïssa, Aoumeur Dubourg, Laurence |
author_facet | Rognant, Nicolas Lemoine, Sandrine Laville, Martine Hadj-Aïssa, Aoumeur Dubourg, Laurence |
author_sort | Rognant, Nicolas |
collection | PubMed |
description | OBJECTIVE: The best method to estimate glomerular filtration rate (GFR) in diabetic patients is still largely debated. We compared the performance of creatinine-based formulas in a European diabetic population. RESEARCH DESIGN AND METHODS: We compared the performance of Cockcroft and Gault, simplified Modification of Diet in Renal Disease (MDRD), and Chronic Kidney Disease Epidemiology (CKD-EPI) Collaboration equations in 246 diabetic patients by calculating the mean bias and the interquartile range (IQR) of the bias, 10% (P10) and 30% (P30) accuracies, and Bland-Altman plots. GFR was measured by inulin clearance. RESULTS: For the whole population, the IQR was slightly lower for CKD-EPI, but the mean bias was lower and P10 and P30 were higher for MDRD. Similar results were observed in specific subgroups, including patients with mild renal insufficiency, obese patients, or type 2 diabetic patients. CONCLUSIONS: In our population, the CKD-EPI formula does not exhibit better performance than the simplified MDRD formula for estimating GFR. |
format | Online Article Text |
id | pubmed-3114318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | American Diabetes Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-31143182012-06-01 Performance of the Chronic Kidney Disease Epidemiology Collaboration Equation to Estimate Glomerular Filtration Rate in Diabetic Patients Rognant, Nicolas Lemoine, Sandrine Laville, Martine Hadj-Aïssa, Aoumeur Dubourg, Laurence Diabetes Care Original Research OBJECTIVE: The best method to estimate glomerular filtration rate (GFR) in diabetic patients is still largely debated. We compared the performance of creatinine-based formulas in a European diabetic population. RESEARCH DESIGN AND METHODS: We compared the performance of Cockcroft and Gault, simplified Modification of Diet in Renal Disease (MDRD), and Chronic Kidney Disease Epidemiology (CKD-EPI) Collaboration equations in 246 diabetic patients by calculating the mean bias and the interquartile range (IQR) of the bias, 10% (P10) and 30% (P30) accuracies, and Bland-Altman plots. GFR was measured by inulin clearance. RESULTS: For the whole population, the IQR was slightly lower for CKD-EPI, but the mean bias was lower and P10 and P30 were higher for MDRD. Similar results were observed in specific subgroups, including patients with mild renal insufficiency, obese patients, or type 2 diabetic patients. CONCLUSIONS: In our population, the CKD-EPI formula does not exhibit better performance than the simplified MDRD formula for estimating GFR. American Diabetes Association 2011-06 2011-05-20 /pmc/articles/PMC3114318/ /pubmed/21540431 http://dx.doi.org/10.2337/dc11-0203 Text en © 2011 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details. |
spellingShingle | Original Research Rognant, Nicolas Lemoine, Sandrine Laville, Martine Hadj-Aïssa, Aoumeur Dubourg, Laurence Performance of the Chronic Kidney Disease Epidemiology Collaboration Equation to Estimate Glomerular Filtration Rate in Diabetic Patients |
title | Performance of the Chronic Kidney Disease Epidemiology Collaboration Equation to Estimate Glomerular Filtration Rate in Diabetic Patients |
title_full | Performance of the Chronic Kidney Disease Epidemiology Collaboration Equation to Estimate Glomerular Filtration Rate in Diabetic Patients |
title_fullStr | Performance of the Chronic Kidney Disease Epidemiology Collaboration Equation to Estimate Glomerular Filtration Rate in Diabetic Patients |
title_full_unstemmed | Performance of the Chronic Kidney Disease Epidemiology Collaboration Equation to Estimate Glomerular Filtration Rate in Diabetic Patients |
title_short | Performance of the Chronic Kidney Disease Epidemiology Collaboration Equation to Estimate Glomerular Filtration Rate in Diabetic Patients |
title_sort | performance of the chronic kidney disease epidemiology collaboration equation to estimate glomerular filtration rate in diabetic patients |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3114318/ https://www.ncbi.nlm.nih.gov/pubmed/21540431 http://dx.doi.org/10.2337/dc11-0203 |
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