Cargando…

Prevalence and risk factors for chronic kidney disease of unknown cause in Malawi: a cross-sectional analysis in a rural and urban population

BACKGROUND: An epidemic of chronic kidney disease of unknown cause (CKDu) is occurring in rural communities in tropical regions of low-and middle-income countries in South America and India. Little information is available from Southern African countries which have similar climatic and occupational...

Descripción completa

Detalles Bibliográficos
Autores principales: Hamilton, Sophie A., Nakanga, Wisdom P., Prynn, Josephine E., Crampin, Amelia C., Fecht, Daniela, Vineis, Paolo, Caplin, Ben, Pearce, Neil, Nyirenda, Moffat J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487679/
https://www.ncbi.nlm.nih.gov/pubmed/32894093
http://dx.doi.org/10.1186/s12882-020-02034-x
_version_ 1783581537186349056
author Hamilton, Sophie A.
Nakanga, Wisdom P.
Prynn, Josephine E.
Crampin, Amelia C.
Fecht, Daniela
Vineis, Paolo
Caplin, Ben
Pearce, Neil
Nyirenda, Moffat J.
author_facet Hamilton, Sophie A.
Nakanga, Wisdom P.
Prynn, Josephine E.
Crampin, Amelia C.
Fecht, Daniela
Vineis, Paolo
Caplin, Ben
Pearce, Neil
Nyirenda, Moffat J.
author_sort Hamilton, Sophie A.
collection PubMed
description BACKGROUND: An epidemic of chronic kidney disease of unknown cause (CKDu) is occurring in rural communities in tropical regions of low-and middle-income countries in South America and India. Little information is available from Southern African countries which have similar climatic and occupational characteristics to CKDu-endemic countries. We investigated whether CKDu is prevalent in Malawi and identified its potential risk factors in this setting. METHODS: We conducted a cross-sectional study from January–August 2018 collecting bio samples and anthropometric data in two Malawian populations. The sample comprised adults > 18 years (n = 821) without diabetes, hypertension, and proteinuria. Estimates of glomerular filtration rate (eGFR) were calculated using the CKD-EPI equation. Linear and logistic regression models were applied with potential risk factors, to estimate risk of reduced eGFR. RESULTS: The mean eGFR was 117.1 ± 16.0 ml/min per 1.73m(2) and the mean participant age was 33.5 ± 12.7 years. The prevalence of eGFR< 60 was 0.2% (95% confidence interval (95% CI) 0.1, 0.9); the prevalence of eGFR< 90 was 5% (95% CI =3.2, 6.3). We observed a higher prevalence in the rural population (5% (3.6, 7.8)), versus urban (3% (1.4, 6.7)). Age and BMI were associated with reduced eGFR< 90 [Odds ratio (OR) (95%CI) =3.59 (2.58, 5.21) per ten-year increment]; [OR (95%CI) =2.01 (1.27, 3.43) per 5 kg/m(2) increment] respectively. No increased risk of eGFR < 90 was observed for rural participants [OR (95%CI) =1.75 (0.50, 6.30)]. CONCLUSIONS: Reduced kidney function consistent with the definition of CKDu is not common in the areas of Malawi sampled, compared to that observed in other tropical or sub-tropical countries in Central America and South Asia. Reduced eGFR< 90 was related to age, BMI, and was more common in rural areas. These findings are important as they contradict some current hypothesis that CKDu is endemic across tropical and sub-tropical countries. This study has enabled standardized comparisons of impaired kidney function between and within tropical/subtropical regions of the world and will help form the basis for further etiological research, surveillance strategies, and the implementation and evaluation of interventions.
format Online
Article
Text
id pubmed-7487679
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-74876792020-09-16 Prevalence and risk factors for chronic kidney disease of unknown cause in Malawi: a cross-sectional analysis in a rural and urban population Hamilton, Sophie A. Nakanga, Wisdom P. Prynn, Josephine E. Crampin, Amelia C. Fecht, Daniela Vineis, Paolo Caplin, Ben Pearce, Neil Nyirenda, Moffat J. BMC Nephrol Research Article BACKGROUND: An epidemic of chronic kidney disease of unknown cause (CKDu) is occurring in rural communities in tropical regions of low-and middle-income countries in South America and India. Little information is available from Southern African countries which have similar climatic and occupational characteristics to CKDu-endemic countries. We investigated whether CKDu is prevalent in Malawi and identified its potential risk factors in this setting. METHODS: We conducted a cross-sectional study from January–August 2018 collecting bio samples and anthropometric data in two Malawian populations. The sample comprised adults > 18 years (n = 821) without diabetes, hypertension, and proteinuria. Estimates of glomerular filtration rate (eGFR) were calculated using the CKD-EPI equation. Linear and logistic regression models were applied with potential risk factors, to estimate risk of reduced eGFR. RESULTS: The mean eGFR was 117.1 ± 16.0 ml/min per 1.73m(2) and the mean participant age was 33.5 ± 12.7 years. The prevalence of eGFR< 60 was 0.2% (95% confidence interval (95% CI) 0.1, 0.9); the prevalence of eGFR< 90 was 5% (95% CI =3.2, 6.3). We observed a higher prevalence in the rural population (5% (3.6, 7.8)), versus urban (3% (1.4, 6.7)). Age and BMI were associated with reduced eGFR< 90 [Odds ratio (OR) (95%CI) =3.59 (2.58, 5.21) per ten-year increment]; [OR (95%CI) =2.01 (1.27, 3.43) per 5 kg/m(2) increment] respectively. No increased risk of eGFR < 90 was observed for rural participants [OR (95%CI) =1.75 (0.50, 6.30)]. CONCLUSIONS: Reduced kidney function consistent with the definition of CKDu is not common in the areas of Malawi sampled, compared to that observed in other tropical or sub-tropical countries in Central America and South Asia. Reduced eGFR< 90 was related to age, BMI, and was more common in rural areas. These findings are important as they contradict some current hypothesis that CKDu is endemic across tropical and sub-tropical countries. This study has enabled standardized comparisons of impaired kidney function between and within tropical/subtropical regions of the world and will help form the basis for further etiological research, surveillance strategies, and the implementation and evaluation of interventions. BioMed Central 2020-09-07 /pmc/articles/PMC7487679/ /pubmed/32894093 http://dx.doi.org/10.1186/s12882-020-02034-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
Hamilton, Sophie A.
Nakanga, Wisdom P.
Prynn, Josephine E.
Crampin, Amelia C.
Fecht, Daniela
Vineis, Paolo
Caplin, Ben
Pearce, Neil
Nyirenda, Moffat J.
Prevalence and risk factors for chronic kidney disease of unknown cause in Malawi: a cross-sectional analysis in a rural and urban population
title Prevalence and risk factors for chronic kidney disease of unknown cause in Malawi: a cross-sectional analysis in a rural and urban population
title_full Prevalence and risk factors for chronic kidney disease of unknown cause in Malawi: a cross-sectional analysis in a rural and urban population
title_fullStr Prevalence and risk factors for chronic kidney disease of unknown cause in Malawi: a cross-sectional analysis in a rural and urban population
title_full_unstemmed Prevalence and risk factors for chronic kidney disease of unknown cause in Malawi: a cross-sectional analysis in a rural and urban population
title_short Prevalence and risk factors for chronic kidney disease of unknown cause in Malawi: a cross-sectional analysis in a rural and urban population
title_sort prevalence and risk factors for chronic kidney disease of unknown cause in malawi: a cross-sectional analysis in a rural and urban population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487679/
https://www.ncbi.nlm.nih.gov/pubmed/32894093
http://dx.doi.org/10.1186/s12882-020-02034-x
work_keys_str_mv AT hamiltonsophiea prevalenceandriskfactorsforchronickidneydiseaseofunknowncauseinmalawiacrosssectionalanalysisinaruralandurbanpopulation
AT nakangawisdomp prevalenceandriskfactorsforchronickidneydiseaseofunknowncauseinmalawiacrosssectionalanalysisinaruralandurbanpopulation
AT prynnjosephinee prevalenceandriskfactorsforchronickidneydiseaseofunknowncauseinmalawiacrosssectionalanalysisinaruralandurbanpopulation
AT crampinameliac prevalenceandriskfactorsforchronickidneydiseaseofunknowncauseinmalawiacrosssectionalanalysisinaruralandurbanpopulation
AT fechtdaniela prevalenceandriskfactorsforchronickidneydiseaseofunknowncauseinmalawiacrosssectionalanalysisinaruralandurbanpopulation
AT vineispaolo prevalenceandriskfactorsforchronickidneydiseaseofunknowncauseinmalawiacrosssectionalanalysisinaruralandurbanpopulation
AT caplinben prevalenceandriskfactorsforchronickidneydiseaseofunknowncauseinmalawiacrosssectionalanalysisinaruralandurbanpopulation
AT pearceneil prevalenceandriskfactorsforchronickidneydiseaseofunknowncauseinmalawiacrosssectionalanalysisinaruralandurbanpopulation
AT nyirendamoffatj prevalenceandriskfactorsforchronickidneydiseaseofunknowncauseinmalawiacrosssectionalanalysisinaruralandurbanpopulation