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Comparison of Various Equations for Estimating GFR in Malawi: How to Determine Renal Function in Resource Limited Settings?
BACKGROUND: Chronic kidney disease (CKD) is a probably underrated public health problem in Sub-Saharan-Africa, in particular in combination with HIV-infection. Knowledge about the CKD prevalence is scarce and in the available literature different methods to classify CKD are used impeding comparison...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4470826/ https://www.ncbi.nlm.nih.gov/pubmed/26083345 http://dx.doi.org/10.1371/journal.pone.0130453 |
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author | Glaser, Nicola Deckert, Andreas Phiri, Sam Rothenbacher, Dietrich Neuhann, Florian |
author_facet | Glaser, Nicola Deckert, Andreas Phiri, Sam Rothenbacher, Dietrich Neuhann, Florian |
author_sort | Glaser, Nicola |
collection | PubMed |
description | BACKGROUND: Chronic kidney disease (CKD) is a probably underrated public health problem in Sub-Saharan-Africa, in particular in combination with HIV-infection. Knowledge about the CKD prevalence is scarce and in the available literature different methods to classify CKD are used impeding comparison and general prevalence estimates. METHODS: This study assessed different serum-creatinine based equations for glomerular filtration rates (eGFR) and compared them to a cystatin C based equation. The study was conducted in Lilongwe, Malawi enrolling a population of 363 adults of which 32% were HIV-positive. RESULTS: Comparison of formulae based on Bland-Altman-plots and accuracy revealed best performance for the CKD-EPI equation without the correction factor for black Americans. Analyzing the differences between HIV-positive and –negative individuals CKD-EPI systematically overestimated eGFR in comparison to cystatin C and therefore lead to underestimation of CKD in HIV-positives. CONCLUSIONS: Our findings underline the importance for standardization of eGFR calculation in a Sub-Saharan African setting, to further investigate the differences with regard to HIV status and to develop potential correction factors as established for age and sex. |
format | Online Article Text |
id | pubmed-4470826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44708262015-06-29 Comparison of Various Equations for Estimating GFR in Malawi: How to Determine Renal Function in Resource Limited Settings? Glaser, Nicola Deckert, Andreas Phiri, Sam Rothenbacher, Dietrich Neuhann, Florian PLoS One Research Article BACKGROUND: Chronic kidney disease (CKD) is a probably underrated public health problem in Sub-Saharan-Africa, in particular in combination with HIV-infection. Knowledge about the CKD prevalence is scarce and in the available literature different methods to classify CKD are used impeding comparison and general prevalence estimates. METHODS: This study assessed different serum-creatinine based equations for glomerular filtration rates (eGFR) and compared them to a cystatin C based equation. The study was conducted in Lilongwe, Malawi enrolling a population of 363 adults of which 32% were HIV-positive. RESULTS: Comparison of formulae based on Bland-Altman-plots and accuracy revealed best performance for the CKD-EPI equation without the correction factor for black Americans. Analyzing the differences between HIV-positive and –negative individuals CKD-EPI systematically overestimated eGFR in comparison to cystatin C and therefore lead to underestimation of CKD in HIV-positives. CONCLUSIONS: Our findings underline the importance for standardization of eGFR calculation in a Sub-Saharan African setting, to further investigate the differences with regard to HIV status and to develop potential correction factors as established for age and sex. Public Library of Science 2015-06-17 /pmc/articles/PMC4470826/ /pubmed/26083345 http://dx.doi.org/10.1371/journal.pone.0130453 Text en © 2015 Glaser et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Glaser, Nicola Deckert, Andreas Phiri, Sam Rothenbacher, Dietrich Neuhann, Florian Comparison of Various Equations for Estimating GFR in Malawi: How to Determine Renal Function in Resource Limited Settings? |
title | Comparison of Various Equations for Estimating GFR in Malawi: How to Determine Renal Function in Resource Limited Settings? |
title_full | Comparison of Various Equations for Estimating GFR in Malawi: How to Determine Renal Function in Resource Limited Settings? |
title_fullStr | Comparison of Various Equations for Estimating GFR in Malawi: How to Determine Renal Function in Resource Limited Settings? |
title_full_unstemmed | Comparison of Various Equations for Estimating GFR in Malawi: How to Determine Renal Function in Resource Limited Settings? |
title_short | Comparison of Various Equations for Estimating GFR in Malawi: How to Determine Renal Function in Resource Limited Settings? |
title_sort | comparison of various equations for estimating gfr in malawi: how to determine renal function in resource limited settings? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4470826/ https://www.ncbi.nlm.nih.gov/pubmed/26083345 http://dx.doi.org/10.1371/journal.pone.0130453 |
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