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Prevalence, concordance and associations of chronic kidney disease by five estimators in South Africa

BACKGROUND: To determine the prevalence, distribution, concordance and associations of chronic kidney disease (CKD) determined by five glomerular filtration rate (GFR) formulae in urban black residents of Cape Town. METHODS: Data collection in this cross-sectional study included interviews, clinical...

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Autores principales: Peer, Nasheeta, George, Jaya, Lombard, Carl, Steyn, Krisela, Levitt, Naomi, Kengne, Andre-Pascal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451105/
https://www.ncbi.nlm.nih.gov/pubmed/32854641
http://dx.doi.org/10.1186/s12882-020-02018-x
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author Peer, Nasheeta
George, Jaya
Lombard, Carl
Steyn, Krisela
Levitt, Naomi
Kengne, Andre-Pascal
author_facet Peer, Nasheeta
George, Jaya
Lombard, Carl
Steyn, Krisela
Levitt, Naomi
Kengne, Andre-Pascal
author_sort Peer, Nasheeta
collection PubMed
description BACKGROUND: To determine the prevalence, distribution, concordance and associations of chronic kidney disease (CKD) determined by five glomerular filtration rate (GFR) formulae in urban black residents of Cape Town. METHODS: Data collection in this cross-sectional study included interviews, clinical measurements and biochemical analyses, including serum creatinine and cystatin C levels. GFR was based on the CKD Epidemiology Collaboration (CKD-EPI) equations (CKD-EPI creatinine (CKD-EPIcr), CKD-EPI cystatin C (CKD-EPIcys), CKD-EPI creatinine-cystatins (CKD-EPIcr-cys)), Modification of Diet in Renal Disease (MDRD) and Cockcroft-Gault formula (CGF). GFR < 60 mL/min/1.73 m(2) defined CKD. RESULTS: Among 392 men and 700 women, mean GFR, was between 114.0 (CKD-EPIcr) and 135.4 mL/min/1.73 m(2) (CGF) in men, and between 107.5 (CKD-EPIcr-cys) and 173.4 mL/min/1.73 m(2) (CGF) in women. CKD prevalence ranged from 2.3% (CKD-EPIcr and MDRD) to 5.1% (CKD-EPIcys) in men and 1.6% (CGF) to 6.7% (CKD-EPIcr-cys) in women. The kappa statistic was high between CKD-EPIcr and MDRD (0.934), and CKD-EPIcys and CKD-EPIcr-cys (0.815), but fair-to-moderate between the other eqs. (0.353–0.565). In the basic regressions, older age and body mass index ≥30 kg/m(2), but not gender, were significantly associated with CKD-EPIcr-defined CKD. In the presence of these three variables, hypertension, heart rate ≥ 90 beats/minute, diabetes and low-density lipoprotein cholesterol were significant predictors of prevalent CKD. CONCLUSIONS: Varying CKD prevalence estimates, because of different GFR equations used, underscores the need to improve accuracy of CKD diagnoses. Furthermore, screening for CKD should be incorporated into the routine assessment of high-risk patients such as those with hypertension or diabetes.
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spelling pubmed-74511052020-08-28 Prevalence, concordance and associations of chronic kidney disease by five estimators in South Africa Peer, Nasheeta George, Jaya Lombard, Carl Steyn, Krisela Levitt, Naomi Kengne, Andre-Pascal BMC Nephrol Research Article BACKGROUND: To determine the prevalence, distribution, concordance and associations of chronic kidney disease (CKD) determined by five glomerular filtration rate (GFR) formulae in urban black residents of Cape Town. METHODS: Data collection in this cross-sectional study included interviews, clinical measurements and biochemical analyses, including serum creatinine and cystatin C levels. GFR was based on the CKD Epidemiology Collaboration (CKD-EPI) equations (CKD-EPI creatinine (CKD-EPIcr), CKD-EPI cystatin C (CKD-EPIcys), CKD-EPI creatinine-cystatins (CKD-EPIcr-cys)), Modification of Diet in Renal Disease (MDRD) and Cockcroft-Gault formula (CGF). GFR < 60 mL/min/1.73 m(2) defined CKD. RESULTS: Among 392 men and 700 women, mean GFR, was between 114.0 (CKD-EPIcr) and 135.4 mL/min/1.73 m(2) (CGF) in men, and between 107.5 (CKD-EPIcr-cys) and 173.4 mL/min/1.73 m(2) (CGF) in women. CKD prevalence ranged from 2.3% (CKD-EPIcr and MDRD) to 5.1% (CKD-EPIcys) in men and 1.6% (CGF) to 6.7% (CKD-EPIcr-cys) in women. The kappa statistic was high between CKD-EPIcr and MDRD (0.934), and CKD-EPIcys and CKD-EPIcr-cys (0.815), but fair-to-moderate between the other eqs. (0.353–0.565). In the basic regressions, older age and body mass index ≥30 kg/m(2), but not gender, were significantly associated with CKD-EPIcr-defined CKD. In the presence of these three variables, hypertension, heart rate ≥ 90 beats/minute, diabetes and low-density lipoprotein cholesterol were significant predictors of prevalent CKD. CONCLUSIONS: Varying CKD prevalence estimates, because of different GFR equations used, underscores the need to improve accuracy of CKD diagnoses. Furthermore, screening for CKD should be incorporated into the routine assessment of high-risk patients such as those with hypertension or diabetes. BioMed Central 2020-08-27 /pmc/articles/PMC7451105/ /pubmed/32854641 http://dx.doi.org/10.1186/s12882-020-02018-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Peer, Nasheeta
George, Jaya
Lombard, Carl
Steyn, Krisela
Levitt, Naomi
Kengne, Andre-Pascal
Prevalence, concordance and associations of chronic kidney disease by five estimators in South Africa
title Prevalence, concordance and associations of chronic kidney disease by five estimators in South Africa
title_full Prevalence, concordance and associations of chronic kidney disease by five estimators in South Africa
title_fullStr Prevalence, concordance and associations of chronic kidney disease by five estimators in South Africa
title_full_unstemmed Prevalence, concordance and associations of chronic kidney disease by five estimators in South Africa
title_short Prevalence, concordance and associations of chronic kidney disease by five estimators in South Africa
title_sort prevalence, concordance and associations of chronic kidney disease by five estimators in south africa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451105/
https://www.ncbi.nlm.nih.gov/pubmed/32854641
http://dx.doi.org/10.1186/s12882-020-02018-x
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