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.authorVan Rensburg, Megan
dc.contributor.authorHassan, Mogamat S.
dc.contributor.authorKengne, Andre P.
dc.contributor.authorErasmus, Rajiv T.
dc.date.accessioned2013-05-02T07:30:15Z
dc.date.available2013-05-02T07:30:15Z
dc.date.issued2013-04
dc.descriptionPublication of this article was funded by the Stellenbosch University Open Access Fund.en_ZA
dc.descriptionThe original publication is available at http://www.biomedcentral.com/bmcnephrolen_ZA
dc.description.abstractBackground: 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.sponsorshipStellenbosch University Open Access Funden_ZA
dc.description.versionPublishers' versionen_ZA
dc.format.extent16 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, 14:75, doi:10.1186/1471-2369-14-75.en_ZA
dc.identifier.issn1471-2369 (print)
dc.identifier.issn1471-2369 (online)
dc.identifier.otherdoi:10.1186/1471-2369-14-75
dc.identifier.urihttp://hdl.handle.net/10019.1/80714
dc.language.isoen_ZAen_ZA
dc.publisherBioMed Centralen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectCKD-EPI eGFRen_ZA
dc.subjectCockroft-Gault eGFRen_ZA
dc.subjectMDRD eGFRen_ZA
dc.subjectKidneys -- Diseases -- Africa, Sub-Saharanen_ZA
dc.subjectKidneys -- Diseases -- South Africaen_ZA
dc.subjectKidney -- Diseases -- Preventionen_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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