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Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort study

Background: In Africa, true prevalence of chronic kidney disease (CKD) is unknown, and associated clinical and genetic risk factors remain understudied. This population-based cohort study aimed to investigate CKD prevalence and associated risk factors in rural South Africa. Methods: A total 2021 adu...

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Autores principales: Fabian, June, Gondwe, Mwawi, Mayindi, Nokthula, Chipungu, Shingirai, Khoza, Bongekile, Gaylard, Petra, Wade, Alisha N, Gómez-Olivé, F. Xavier, Tomlinson, Laurie A, Ramsay, Michele, Tollman, Stephen, Winkler, Cheryl, George, Jaya A, Naicker, Saraladevi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674890/
https://www.ncbi.nlm.nih.gov/pubmed/36457874
http://dx.doi.org/10.12688/wellcomeopenres.18016.2
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author Fabian, June
Gondwe, Mwawi
Mayindi, Nokthula
Chipungu, Shingirai
Khoza, Bongekile
Gaylard, Petra
Wade, Alisha N
Gómez-Olivé, F. Xavier
Tomlinson, Laurie A
Ramsay, Michele
Tollman, Stephen
Winkler, Cheryl
George, Jaya A
Naicker, Saraladevi
author_facet Fabian, June
Gondwe, Mwawi
Mayindi, Nokthula
Chipungu, Shingirai
Khoza, Bongekile
Gaylard, Petra
Wade, Alisha N
Gómez-Olivé, F. Xavier
Tomlinson, Laurie A
Ramsay, Michele
Tollman, Stephen
Winkler, Cheryl
George, Jaya A
Naicker, Saraladevi
author_sort Fabian, June
collection PubMed
description Background: In Africa, true prevalence of chronic kidney disease (CKD) is unknown, and associated clinical and genetic risk factors remain understudied. This population-based cohort study aimed to investigate CKD prevalence and associated risk factors in rural South Africa. Methods: A total 2021 adults aged 20-79 years were recruited between 2017-2018 from the Agincourt Health and Socio-Demographic Surveillance System in Bushbuckridge, Mpumalanga, South Africa. The following were collected: sociodemographic, anthropometric, and clinical data; venous blood samples for creatinine, hepatitis B serology; DNA extraction; spot urine samples for dipstick testing and urine albumin: creatinine ratio (UACR) measurement. Point-of-care screening determined prevalent HIV infection, diabetes, and hypercholesterolemia. DNA was used to test for apolipoprotein L1 ( APOL1) kidney risk variants. Kidney Disease Improving Global Outcomes (KDIGO) criteria were used to diagnose CKD as low eGFR (<60mL/min/1.73m (2)) and /or albuminuria (UACR ≥ 3.0mg/mmol) confirmed with follow up screening after at least three months. eGFR was calculated using the CKD-EPI ((creatinine)) equation 2009 with no ethnicity adjustment. Multivariable logistic regression was used to model CKD risk. Results: The WHO age-adjusted population prevalence of CKD was 6.7% (95% CI 5.4 - 7.9), mostly from persistent albuminuria. In the fully adjusted model, APOL1 high-risk genotypes (OR 2.1; 95% CI 1.3 - 3.4); HIV infection (OR 1.8; 1.1 - 2.8); hypertension (OR 2.8; 95% CI 1.8 - 4.3), and diabetes (OR 4.1; 95% CI 2.0 - 8.4) were risk factors. There was no association with age, sex, level of education, obesity, hypercholesterolemia, or hepatitis B infection. Sensitivity analyses showed that CKD risk factor associations were driven by persistent albuminuria, and not low eGFR. One third of those with CKD did not have any of these risk factors. Conclusions:  In rural South Africa, CKD is prevalent, dominated by persistent albuminuria, and associated with APOL1 high-risk genotypes, hypertension, diabetes, and HIV infection.
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spelling pubmed-96748902022-11-30 Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort study Fabian, June Gondwe, Mwawi Mayindi, Nokthula Chipungu, Shingirai Khoza, Bongekile Gaylard, Petra Wade, Alisha N Gómez-Olivé, F. Xavier Tomlinson, Laurie A Ramsay, Michele Tollman, Stephen Winkler, Cheryl George, Jaya A Naicker, Saraladevi Wellcome Open Res Research Article Background: In Africa, true prevalence of chronic kidney disease (CKD) is unknown, and associated clinical and genetic risk factors remain understudied. This population-based cohort study aimed to investigate CKD prevalence and associated risk factors in rural South Africa. Methods: A total 2021 adults aged 20-79 years were recruited between 2017-2018 from the Agincourt Health and Socio-Demographic Surveillance System in Bushbuckridge, Mpumalanga, South Africa. The following were collected: sociodemographic, anthropometric, and clinical data; venous blood samples for creatinine, hepatitis B serology; DNA extraction; spot urine samples for dipstick testing and urine albumin: creatinine ratio (UACR) measurement. Point-of-care screening determined prevalent HIV infection, diabetes, and hypercholesterolemia. DNA was used to test for apolipoprotein L1 ( APOL1) kidney risk variants. Kidney Disease Improving Global Outcomes (KDIGO) criteria were used to diagnose CKD as low eGFR (<60mL/min/1.73m (2)) and /or albuminuria (UACR ≥ 3.0mg/mmol) confirmed with follow up screening after at least three months. eGFR was calculated using the CKD-EPI ((creatinine)) equation 2009 with no ethnicity adjustment. Multivariable logistic regression was used to model CKD risk. Results: The WHO age-adjusted population prevalence of CKD was 6.7% (95% CI 5.4 - 7.9), mostly from persistent albuminuria. In the fully adjusted model, APOL1 high-risk genotypes (OR 2.1; 95% CI 1.3 - 3.4); HIV infection (OR 1.8; 1.1 - 2.8); hypertension (OR 2.8; 95% CI 1.8 - 4.3), and diabetes (OR 4.1; 95% CI 2.0 - 8.4) were risk factors. There was no association with age, sex, level of education, obesity, hypercholesterolemia, or hepatitis B infection. Sensitivity analyses showed that CKD risk factor associations were driven by persistent albuminuria, and not low eGFR. One third of those with CKD did not have any of these risk factors. Conclusions:  In rural South Africa, CKD is prevalent, dominated by persistent albuminuria, and associated with APOL1 high-risk genotypes, hypertension, diabetes, and HIV infection. F1000 Research Limited 2022-11-03 /pmc/articles/PMC9674890/ /pubmed/36457874 http://dx.doi.org/10.12688/wellcomeopenres.18016.2 Text en Copyright: © 2022 Fabian J et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Fabian, June
Gondwe, Mwawi
Mayindi, Nokthula
Chipungu, Shingirai
Khoza, Bongekile
Gaylard, Petra
Wade, Alisha N
Gómez-Olivé, F. Xavier
Tomlinson, Laurie A
Ramsay, Michele
Tollman, Stephen
Winkler, Cheryl
George, Jaya A
Naicker, Saraladevi
Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort study
title Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort study
title_full Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort study
title_fullStr Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort study
title_full_unstemmed Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort study
title_short Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort study
title_sort chronic kidney disease (ckd) and associated risk in rural south africa: a population-based cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674890/
https://www.ncbi.nlm.nih.gov/pubmed/36457874
http://dx.doi.org/10.12688/wellcomeopenres.18016.2
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