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Estimates of the 2016 global burden of kidney disease attributable to ambient fine particulate matter air pollution

OBJECTIVE: To quantitate the 2016 global and national burden of chronic kidney disease (CKD) attributable to ambient fine particulate matter air pollution ≤ 2.5 μm in aerodynamic diameter (PM(2.5)). DESIGN: We used the Global Burden of Disease (GBD) study data and methodologies to estimate the 2016...

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Autores principales: Bowe, Benjamin, Xie, Yan, Li, Tingting, Yan, Yan, Xian, Hong, Al-Aly, Ziyad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528010/
https://www.ncbi.nlm.nih.gov/pubmed/31072847
http://dx.doi.org/10.1136/bmjopen-2018-022450
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author Bowe, Benjamin
Xie, Yan
Li, Tingting
Yan, Yan
Xian, Hong
Al-Aly, Ziyad
author_facet Bowe, Benjamin
Xie, Yan
Li, Tingting
Yan, Yan
Xian, Hong
Al-Aly, Ziyad
author_sort Bowe, Benjamin
collection PubMed
description OBJECTIVE: To quantitate the 2016 global and national burden of chronic kidney disease (CKD) attributable to ambient fine particulate matter air pollution ≤ 2.5 μm in aerodynamic diameter (PM(2.5)). DESIGN: We used the Global Burden of Disease (GBD) study data and methodologies to estimate the 2016 burden of CKD attributable to PM(2.5) in 194 countries and territories. Population-weighted PM(2.5) levels and incident rates of CKD for each country were curated from the GBD study publicly available data sources. SETTING: GBD global and national data on PM(2.5) and CKD. PARTICIPANTS: 194 countries and territories. MAIN OUTCOME MEASURES: We estimated the attributable burden of disease (ABD), years living with disability (YLD), years of life lost (YLL) and disability-adjusted life-years (DALYs). RESULTS: The 2016 global burden of incident CKD attributable to PM(2.5) was 6 950 514 (95% uncertainty interval: 5 061 533–8 914 745). Global YLD, YLL and DALYs of CKD attributable to PM(2.5) were 2 849 311 (1 875 219–3 983 941), 8 587 735 (6 355 784–10 772 239) and 11 445 397 (8 380 246–14 554 091), respectively. Age-standardised ABD, YLL, YLD and DALY rates varied substantially among geographies. Populations in Mesoamerica, Northern Africa, several countries in the Eastern Mediterranean region, Afghanistan, Pakistan, India and several countries in Southeast Asia were among those with highest age-standardised DALY rates. For example, age-standardised DALYs per 100 000 were 543.35 (391.16–707.96) in El Salvador, 455.29 (332.51–577.97) in Mexico, 408.41 (283.82–551.84) in Guatemala, 238.25 (173.90–303.98) in India and 178.26 (125.31–238.47) in Sri Lanka, compared with 5.52 (0.82–11.48) in Sweden, 6.46 (0.00–14.49) in Australia and 12.13 (4.95–21.82) in Canada. Frontier analyses showed that Mesoamerican countries had significantly higher CKD DALY rates relative to other countries with comparable sociodemographic development. CONCLUSIONS: Our results demonstrate that the global toll of CKD attributable to ambient air pollution is significant and identify several endemic geographies where air pollution may be a significant driver of CKD burden. Air pollution may need to be considered in the discussion of the global epidemiology of CKD.
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spelling pubmed-65280102019-06-05 Estimates of the 2016 global burden of kidney disease attributable to ambient fine particulate matter air pollution Bowe, Benjamin Xie, Yan Li, Tingting Yan, Yan Xian, Hong Al-Aly, Ziyad BMJ Open Global Health OBJECTIVE: To quantitate the 2016 global and national burden of chronic kidney disease (CKD) attributable to ambient fine particulate matter air pollution ≤ 2.5 μm in aerodynamic diameter (PM(2.5)). DESIGN: We used the Global Burden of Disease (GBD) study data and methodologies to estimate the 2016 burden of CKD attributable to PM(2.5) in 194 countries and territories. Population-weighted PM(2.5) levels and incident rates of CKD for each country were curated from the GBD study publicly available data sources. SETTING: GBD global and national data on PM(2.5) and CKD. PARTICIPANTS: 194 countries and territories. MAIN OUTCOME MEASURES: We estimated the attributable burden of disease (ABD), years living with disability (YLD), years of life lost (YLL) and disability-adjusted life-years (DALYs). RESULTS: The 2016 global burden of incident CKD attributable to PM(2.5) was 6 950 514 (95% uncertainty interval: 5 061 533–8 914 745). Global YLD, YLL and DALYs of CKD attributable to PM(2.5) were 2 849 311 (1 875 219–3 983 941), 8 587 735 (6 355 784–10 772 239) and 11 445 397 (8 380 246–14 554 091), respectively. Age-standardised ABD, YLL, YLD and DALY rates varied substantially among geographies. Populations in Mesoamerica, Northern Africa, several countries in the Eastern Mediterranean region, Afghanistan, Pakistan, India and several countries in Southeast Asia were among those with highest age-standardised DALY rates. For example, age-standardised DALYs per 100 000 were 543.35 (391.16–707.96) in El Salvador, 455.29 (332.51–577.97) in Mexico, 408.41 (283.82–551.84) in Guatemala, 238.25 (173.90–303.98) in India and 178.26 (125.31–238.47) in Sri Lanka, compared with 5.52 (0.82–11.48) in Sweden, 6.46 (0.00–14.49) in Australia and 12.13 (4.95–21.82) in Canada. Frontier analyses showed that Mesoamerican countries had significantly higher CKD DALY rates relative to other countries with comparable sociodemographic development. CONCLUSIONS: Our results demonstrate that the global toll of CKD attributable to ambient air pollution is significant and identify several endemic geographies where air pollution may be a significant driver of CKD burden. Air pollution may need to be considered in the discussion of the global epidemiology of CKD. BMJ Publishing Group 2019-05-09 /pmc/articles/PMC6528010/ /pubmed/31072847 http://dx.doi.org/10.1136/bmjopen-2018-022450 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 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 Global Health
Bowe, Benjamin
Xie, Yan
Li, Tingting
Yan, Yan
Xian, Hong
Al-Aly, Ziyad
Estimates of the 2016 global burden of kidney disease attributable to ambient fine particulate matter air pollution
title Estimates of the 2016 global burden of kidney disease attributable to ambient fine particulate matter air pollution
title_full Estimates of the 2016 global burden of kidney disease attributable to ambient fine particulate matter air pollution
title_fullStr Estimates of the 2016 global burden of kidney disease attributable to ambient fine particulate matter air pollution
title_full_unstemmed Estimates of the 2016 global burden of kidney disease attributable to ambient fine particulate matter air pollution
title_short Estimates of the 2016 global burden of kidney disease attributable to ambient fine particulate matter air pollution
title_sort estimates of the 2016 global burden of kidney disease attributable to ambient fine particulate matter air pollution
topic Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528010/
https://www.ncbi.nlm.nih.gov/pubmed/31072847
http://dx.doi.org/10.1136/bmjopen-2018-022450
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