Chronic kidney diseases in mixed ancestry South African populations : prevalence, determinants and concordance between kidney function estimators

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dc.contributor.authorMatsha, Tandi E.
dc.contributor.authorYako, Yandiswa Y.
dc.contributor.authorRensburg, Megan A.
dc.contributor.authorHassan, Mogamat S.
dc.contributor.authorKengne, Andre P.
dc.contributor.authorErasmus, Rajiv T.
dc.date.accessioned2013-06-26T14:04:19Z
dc.date.available2013-06-26T14:04:19Z
dc.date.issued2013-04
dc.date.updated2013-05-31T06:01:33Z
dc.descriptionThe original publication is available at http://www.biomedcentral.com/1471-2369/14/75en_ZA
dc.descriptionBibliography.
dc.description.abstractABSTRACT: Population-based data on the burden of chronic kidney disease (CKD) in sub-Saharan Africa is still very limited. We assessed the prevalence and determinants of CKD, and evaluated the concordance of commonly advocated estimators of glomerular filtration rate (eGFR) in a mixed ancestry population from South Africa. Methods Participants were a population-based sample of adults selected from the Bellville-South community in the metropolitan city of Cape Town. eGFR was based on the Cockroft-Gault (CG), Modification of Diet in Kidney Disease (MDRD) and CKD Epidemiology Collaboration (CKD-EPI) equations (with and without adjustment for ethnicity). Kidney function staging used the Kidney Disease Outcome Quality Initiative (KDOQI) classification. Logistic regressions and kappa statistic were used to investigate determinants of CKD and assess the agreement between different estimators. Results The crude prevalence of CKD stage 3–5 was 14.8% for Cockcroft-Gault, 7.6% and 23.9% respectively for the MDRD with and without ethnicity correction, and 7.4% and 17.3% for the CKD-EPI equations with and without ethnicity correction. The highest agreement between GFR estimators was between MDRD and CKD-EPI equations, both with ethnicity correction, Kappa 0.91 (95% CI: 0.86-0.95), correlation coefficient 0.95 (95% CI: 0.94-0.96). In multivariable logistic regression models, sex, age and known hypertension were consistently associated with CKD stage 3–5 across the 5 estimators. Conclusions The prevalence of CKD stages greater than 3 is the highest reported in Africa. This study provides evidence for support of the CKD-EPI equation for eGFR reporting and CKD classification.en_ZA
dc.description.versionPublishers' Versionen_ZA
dc.format.extent10 p. : ill.
dc.identifier.citationMatsha, T. E. et al. 2013. Chronic kidney diseases in mixed ancestry south African populations: prevalence, determinants and concordance between kidney function estimators. BMC Nephrology, 14(1):75, doi:10.1186/1471-2369-14-75.en_ZA
dc.identifier.issn1471-2369 (online)
dc.identifier.otherdoi.org/10.1186/1471-2369-14-75
dc.identifier.urihttp://hdl.handle.net/10019.1/80950
dc.language.isoen_ZAen_ZA
dc.language.rfc3066en
dc.publisherBioMed Centralen_ZA
dc.rights.holderTandi E Matsha et al.; licensee BioMed Central Ltd.en_ZA
dc.subjectChronic kidney disease -- South Africa -- Cape Town -- Researchen_ZA
dc.subjectChronic renal failure -- Racially mixed people -- South Africa -- Cape Townen_ZA
dc.subjectKidney -- Diseases -- Risk factors -- South Africa -- Researchen_ZA
dc.subjectChronic kidney disease -- Prevalence -- South Africa -- Cape Townen_ZA
dc.subjectChronic renal failure patients -- Risk factors -- South Africa -- Cape Townen_ZA
dc.titleChronic kidney diseases in mixed ancestry South African populations : prevalence, determinants and concordance between kidney function estimatorsen_ZA
dc.typeArticleen_ZA
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