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Impact of the estimation equation for GFR on population-based prevalence estimates of kidney dysfunction
BACKGROUND: Estimating equations are recommended by clinical guidelines as the preferred method for assessment of glomerular filtration rate (GFR). The aim of the study was to compare population-based prevalence estimates of decreased kidney function in Germany defined by an estimated GFR (eGFR) <...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706394/ https://www.ncbi.nlm.nih.gov/pubmed/29183273 http://dx.doi.org/10.1186/s12882-017-0749-5 |
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author | Trocchi, Pietro Girndt, Matthias Scheidt-Nave, Christa Markau, Silke Stang, Andreas |
author_facet | Trocchi, Pietro Girndt, Matthias Scheidt-Nave, Christa Markau, Silke Stang, Andreas |
author_sort | Trocchi, Pietro |
collection | PubMed |
description | BACKGROUND: Estimating equations are recommended by clinical guidelines as the preferred method for assessment of glomerular filtration rate (GFR). The aim of the study was to compare population-based prevalence estimates of decreased kidney function in Germany defined by an estimated GFR (eGFR) <60 ml/min/1.73m(2) using different equations. METHODS: The study included 7001 participants of the German Health Interview and Examination Survey for Adults 2008–2011 (DEGS1) for whom GFR was estimated using the Modification of Diet in Renal Disease study equation (MDRD), the revised Lund-Malmö equation (LM), the Full Age Spectrum creatinine equation (FAScre), the Chronic Kidney Disease Epidemiology Collaboration equations with creatinine and cystatin C (CKD-EPIcrecys), with creatinine (CKD-EPIcre) and with cystatin C (CKD-EPIcys). Bland-Altman plots were used to evaluate the agreement between the equations. RESULTS: Prevalence estimates of decreased kidney function were: 2.1% (CKD-EPIcys), 2.3% (CKD-EPIcrecys), 3.8% (CKD-EPIcre), 5.0% (MDRD), 6.0% (LM) and 6.9% (FAScre). The systematic differences between the equations were smaller by comparing either equations that include serum cystatin C or equations that include serum creatinine alone and increased considerably by increasing eGFR. CONCLUSIONS: Prevalence estimates of decreased kidney function vary considerably according to the equation used for estimating GFR. Equations that include serum cystatin C provide lower prevalence estimates if compared with equations based on serum creatinine alone. However, the analysis of the agreement between the equations according to eGFR provides evidence that the equations may be used interchangeably among persons with pronounced decreased kidney function. The study illustrates the implications of the choice of the estimating equation in an epidemiological setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12882-017-0749-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5706394 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57063942017-12-05 Impact of the estimation equation for GFR on population-based prevalence estimates of kidney dysfunction Trocchi, Pietro Girndt, Matthias Scheidt-Nave, Christa Markau, Silke Stang, Andreas BMC Nephrol Research Article BACKGROUND: Estimating equations are recommended by clinical guidelines as the preferred method for assessment of glomerular filtration rate (GFR). The aim of the study was to compare population-based prevalence estimates of decreased kidney function in Germany defined by an estimated GFR (eGFR) <60 ml/min/1.73m(2) using different equations. METHODS: The study included 7001 participants of the German Health Interview and Examination Survey for Adults 2008–2011 (DEGS1) for whom GFR was estimated using the Modification of Diet in Renal Disease study equation (MDRD), the revised Lund-Malmö equation (LM), the Full Age Spectrum creatinine equation (FAScre), the Chronic Kidney Disease Epidemiology Collaboration equations with creatinine and cystatin C (CKD-EPIcrecys), with creatinine (CKD-EPIcre) and with cystatin C (CKD-EPIcys). Bland-Altman plots were used to evaluate the agreement between the equations. RESULTS: Prevalence estimates of decreased kidney function were: 2.1% (CKD-EPIcys), 2.3% (CKD-EPIcrecys), 3.8% (CKD-EPIcre), 5.0% (MDRD), 6.0% (LM) and 6.9% (FAScre). The systematic differences between the equations were smaller by comparing either equations that include serum cystatin C or equations that include serum creatinine alone and increased considerably by increasing eGFR. CONCLUSIONS: Prevalence estimates of decreased kidney function vary considerably according to the equation used for estimating GFR. Equations that include serum cystatin C provide lower prevalence estimates if compared with equations based on serum creatinine alone. However, the analysis of the agreement between the equations according to eGFR provides evidence that the equations may be used interchangeably among persons with pronounced decreased kidney function. The study illustrates the implications of the choice of the estimating equation in an epidemiological setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12882-017-0749-5) contains supplementary material, which is available to authorized users. BioMed Central 2017-11-28 /pmc/articles/PMC5706394/ /pubmed/29183273 http://dx.doi.org/10.1186/s12882-017-0749-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Trocchi, Pietro Girndt, Matthias Scheidt-Nave, Christa Markau, Silke Stang, Andreas Impact of the estimation equation for GFR on population-based prevalence estimates of kidney dysfunction |
title | Impact of the estimation equation for GFR on population-based prevalence estimates of kidney dysfunction |
title_full | Impact of the estimation equation for GFR on population-based prevalence estimates of kidney dysfunction |
title_fullStr | Impact of the estimation equation for GFR on population-based prevalence estimates of kidney dysfunction |
title_full_unstemmed | Impact of the estimation equation for GFR on population-based prevalence estimates of kidney dysfunction |
title_short | Impact of the estimation equation for GFR on population-based prevalence estimates of kidney dysfunction |
title_sort | impact of the estimation equation for gfr on population-based prevalence estimates of kidney dysfunction |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706394/ https://www.ncbi.nlm.nih.gov/pubmed/29183273 http://dx.doi.org/10.1186/s12882-017-0749-5 |
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