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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Chronic kidney diseases in mixed ancestry south African populations: Prevalence, determinants and concordance between kidney function estimators
BMC Nephrology, Volume 14, No. 1, Article 75, Year 2013
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Description
Abstract. Background: 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. © 2013 Matsha et al.; licensee BioMed Central Ltd.
Authors & Co-Authors
Matsha, Tandi Edith
South Africa, Bellville
Cape Peninsula University of Technology
Yako, Yandiswa Yolanda
South Africa, Bellville
Cape Peninsula University of Technology
Rensburg, Megan Amelia
South Africa, Cape Town
Stellenbosch University, Faculty of Medicine and Health Sciences
Hassan, Mogamat Shafick
South Africa, Bellville
Cape Peninsula University of Technology
Kengne, Andre-Pascal Pascal
South Africa, Tygerberg
South African Medical Research Council
Erasmus, Rajiv Timothy
South Africa, Cape Town
Stellenbosch University, Faculty of Medicine and Health Sciences
Statistics
Citations: 63
Authors: 6
Affiliations: 3
Identifiers
Doi:
10.1186/1471-2369-14-75
e-ISSN:
14712369
Research Areas
Noncommunicable Diseases
Study Design
Cross Sectional Study
Study Locations
South Africa