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The global and national burden of chronic kidney disease attributable to ambient fine particulate matter air pollution: a modelling study
INTRODUCTION: We aimed to integrate all available epidemiological evidence to characterise an exposure–response model of ambient fine particulate matter (PM(2.5)) and the risk of chronic kidney disease (CKD) across the spectrum of PM(2.5) concentrations experienced by humans. We then estimated the g...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7173767/ https://www.ncbi.nlm.nih.gov/pubmed/32341805 http://dx.doi.org/10.1136/bmjgh-2019-002063 |
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author | Bowe, Benjamin Artimovich, Elena Xie, Yan Yan, Yan Cai, Miao Al-Aly, Ziyad |
author_facet | Bowe, Benjamin Artimovich, Elena Xie, Yan Yan, Yan Cai, Miao Al-Aly, Ziyad |
author_sort | Bowe, Benjamin |
collection | PubMed |
description | INTRODUCTION: We aimed to integrate all available epidemiological evidence to characterise an exposure–response model of ambient fine particulate matter (PM(2.5)) and the risk of chronic kidney disease (CKD) across the spectrum of PM(2.5) concentrations experienced by humans. We then estimated the global and national burden of CKD attributable to PM(2.5). METHODS: We collected data from prior studies on the association of PM(2.5) with CKD and used an integrative meta-regression approach to build non-linear exposure–response models of the risk of CKD associated with PM(2.5) exposure. We then estimated the 2017 global and national incidence, prevalence, disability-adjusted life-years (DALYs) and deaths due to CKD attributable to PM(2.5) in 194 countries and territories. Burden estimates were generated by linkage of risk estimates to Global Burden of Disease study datasets. RESULTS: The exposure–response function exhibited evidence of an increase in risk with increasing PM(2.5) concentrations, where the rate of risk increase gradually attenuated at higher PM(2.5) concentrations. Globally, in 2017, there were 3 284 358.2 (95% UI 2 800 710.5 to 3 747 046.1) incident and 122 409 460.2 (108 142 312.2 to 136 424 137.9) prevalent cases of CKD attributable to PM(2.5), and 6 593 134.6 (5 705 180.4 to 7 479 818.4) DALYs and 211 019.2 (184 292.5 to 236 520.4) deaths due to CKD attributable to PM(2.5). The burden was disproportionately borne by low income and lower middle income countries and exhibited substantial geographic variability, even among countries with similar levels of sociodemographic development. Globally, 72.8% of prevalent cases of CKD attributable to PM(2.5) and 74.2% of DALYs due to CKD attributable to PM(2.5) were due to concentrations above 10 µg/m(3), the WHO air quality guidelines. CONCLUSION: The global burden of CKD attributable to PM(2.5) is substantial, varies by geography and is disproportionally borne by disadvantaged countries. Most of the burden is associated with PM(2.5) levels above the WHO guidelines, suggesting that achieving those targets may yield reduction in CKD burden. |
format | Online Article Text |
id | pubmed-7173767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-71737672020-04-27 The global and national burden of chronic kidney disease attributable to ambient fine particulate matter air pollution: a modelling study Bowe, Benjamin Artimovich, Elena Xie, Yan Yan, Yan Cai, Miao Al-Aly, Ziyad BMJ Glob Health Original Research INTRODUCTION: We aimed to integrate all available epidemiological evidence to characterise an exposure–response model of ambient fine particulate matter (PM(2.5)) and the risk of chronic kidney disease (CKD) across the spectrum of PM(2.5) concentrations experienced by humans. We then estimated the global and national burden of CKD attributable to PM(2.5). METHODS: We collected data from prior studies on the association of PM(2.5) with CKD and used an integrative meta-regression approach to build non-linear exposure–response models of the risk of CKD associated with PM(2.5) exposure. We then estimated the 2017 global and national incidence, prevalence, disability-adjusted life-years (DALYs) and deaths due to CKD attributable to PM(2.5) in 194 countries and territories. Burden estimates were generated by linkage of risk estimates to Global Burden of Disease study datasets. RESULTS: The exposure–response function exhibited evidence of an increase in risk with increasing PM(2.5) concentrations, where the rate of risk increase gradually attenuated at higher PM(2.5) concentrations. Globally, in 2017, there were 3 284 358.2 (95% UI 2 800 710.5 to 3 747 046.1) incident and 122 409 460.2 (108 142 312.2 to 136 424 137.9) prevalent cases of CKD attributable to PM(2.5), and 6 593 134.6 (5 705 180.4 to 7 479 818.4) DALYs and 211 019.2 (184 292.5 to 236 520.4) deaths due to CKD attributable to PM(2.5). The burden was disproportionately borne by low income and lower middle income countries and exhibited substantial geographic variability, even among countries with similar levels of sociodemographic development. Globally, 72.8% of prevalent cases of CKD attributable to PM(2.5) and 74.2% of DALYs due to CKD attributable to PM(2.5) were due to concentrations above 10 µg/m(3), the WHO air quality guidelines. CONCLUSION: The global burden of CKD attributable to PM(2.5) is substantial, varies by geography and is disproportionally borne by disadvantaged countries. Most of the burden is associated with PM(2.5) levels above the WHO guidelines, suggesting that achieving those targets may yield reduction in CKD burden. BMJ Publishing Group 2020-03-25 /pmc/articles/PMC7173767/ /pubmed/32341805 http://dx.doi.org/10.1136/bmjgh-2019-002063 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Original Research Bowe, Benjamin Artimovich, Elena Xie, Yan Yan, Yan Cai, Miao Al-Aly, Ziyad The global and national burden of chronic kidney disease attributable to ambient fine particulate matter air pollution: a modelling study |
title | The global and national burden of chronic kidney disease attributable to ambient fine particulate matter air pollution: a modelling study |
title_full | The global and national burden of chronic kidney disease attributable to ambient fine particulate matter air pollution: a modelling study |
title_fullStr | The global and national burden of chronic kidney disease attributable to ambient fine particulate matter air pollution: a modelling study |
title_full_unstemmed | The global and national burden of chronic kidney disease attributable to ambient fine particulate matter air pollution: a modelling study |
title_short | The global and national burden of chronic kidney disease attributable to ambient fine particulate matter air pollution: a modelling study |
title_sort | global and national burden of chronic kidney disease attributable to ambient fine particulate matter air pollution: a modelling study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7173767/ https://www.ncbi.nlm.nih.gov/pubmed/32341805 http://dx.doi.org/10.1136/bmjgh-2019-002063 |
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