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 (PM2.5) and the risk of chronic kidney disease (CKD) across the spectrum of PM2.5 concentrations experienced by humans. We then estimated the global...

Full description

Bibliographic Details
Main Authors: Yan Yan, Benjamin Bowe, Yan Xie, Ziyad Al-Aly, Elena Artimovich, Miao Cai
Format: Article
Language:English
Published: BMJ Publishing Group 2020-03-01
Series:BMJ Global Health
Online Access:https://gh.bmj.com/content/5/3/e002063.full
_version_ 1826937552192405504
author Yan Yan
Benjamin Bowe
Yan Xie
Ziyad Al-Aly
Elena Artimovich
Miao Cai
author_facet Yan Yan
Benjamin Bowe
Yan Xie
Ziyad Al-Aly
Elena Artimovich
Miao Cai
author_sort Yan Yan
collection DOAJ
description Introduction We aimed to integrate all available epidemiological evidence to characterise an exposure–response model of ambient fine particulate matter (PM2.5) and the risk of chronic kidney disease (CKD) across the spectrum of PM2.5 concentrations experienced by humans. We then estimated the global and national burden of CKD attributable to PM2.5.Methods We collected data from prior studies on the association of PM2.5 with CKD and used an integrative meta-regression approach to build non-linear exposure–response models of the risk of CKD associated with PM2.5 exposure. We then estimated the 2017 global and national incidence, prevalence, disability-adjusted life-years (DALYs) and deaths due to CKD attributable to PM2.5 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 PM2.5 concentrations, where the rate of risk increase gradually attenuated at higher PM2.5 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 PM2.5, 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 PM2.5. 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 PM2.5 and 74.2% of DALYs due to CKD attributable to PM2.5 were due to concentrations above 10 µg/m3, the WHO air quality guidelines.Conclusion The global burden of CKD attributable to PM2.5 is substantial, varies by geography and is disproportionally borne by disadvantaged countries. Most of the burden is associated with PM2.5 levels above the WHO guidelines, suggesting that achieving those targets may yield reduction in CKD burden.
first_indexed 2024-12-20T15:56:53Z
format Article
id doaj.art-c817a402bfb540c7b8a3ec5daff043f1
institution Directory Open Access Journal
issn 2059-7908
language English
last_indexed 2025-02-17T18:42:14Z
publishDate 2020-03-01
publisher BMJ Publishing Group
record_format Article
series BMJ Global Health
spelling doaj.art-c817a402bfb540c7b8a3ec5daff043f12024-12-11T21:05:09ZengBMJ Publishing GroupBMJ Global Health2059-79082020-03-015310.1136/bmjgh-2019-002063The global and national burden of chronic kidney disease attributable to ambient fine particulate matter air pollution: a modelling studyYan Yan0Benjamin Bowe1Yan Xie2Ziyad Al-Aly3Elena Artimovich4Miao Cai5Division of Public Health Sciences, Department of Surgery, Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USAClinical Epidemiology Center, Research and Development Service, VA Saint Louis Health Care System, Saint Louis, Missouri, USAVeterans Research and Education Foundation of Saint Louis, Saint Louis, Missouri, USANephrology Section, Medicine Service, VA Saint Louis Health Care System, Saint Louis, Missouri, USAClinical Epidemiology Center, VA Saint Louis Health Care System, Saint Louis, Missouri, USADepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, ChinaIntroduction We aimed to integrate all available epidemiological evidence to characterise an exposure–response model of ambient fine particulate matter (PM2.5) and the risk of chronic kidney disease (CKD) across the spectrum of PM2.5 concentrations experienced by humans. We then estimated the global and national burden of CKD attributable to PM2.5.Methods We collected data from prior studies on the association of PM2.5 with CKD and used an integrative meta-regression approach to build non-linear exposure–response models of the risk of CKD associated with PM2.5 exposure. We then estimated the 2017 global and national incidence, prevalence, disability-adjusted life-years (DALYs) and deaths due to CKD attributable to PM2.5 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 PM2.5 concentrations, where the rate of risk increase gradually attenuated at higher PM2.5 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 PM2.5, 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 PM2.5. 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 PM2.5 and 74.2% of DALYs due to CKD attributable to PM2.5 were due to concentrations above 10 µg/m3, the WHO air quality guidelines.Conclusion The global burden of CKD attributable to PM2.5 is substantial, varies by geography and is disproportionally borne by disadvantaged countries. Most of the burden is associated with PM2.5 levels above the WHO guidelines, suggesting that achieving those targets may yield reduction in CKD burden.https://gh.bmj.com/content/5/3/e002063.full
spellingShingle Yan Yan
Benjamin Bowe
Yan Xie
Ziyad Al-Aly
Elena Artimovich
Miao Cai
The global and national burden of chronic kidney disease attributable to ambient fine particulate matter air pollution: a modelling study
BMJ Global Health
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
url https://gh.bmj.com/content/5/3/e002063.full
work_keys_str_mv AT yanyan theglobalandnationalburdenofchronickidneydiseaseattributabletoambientfineparticulatematterairpollutionamodellingstudy
AT benjaminbowe theglobalandnationalburdenofchronickidneydiseaseattributabletoambientfineparticulatematterairpollutionamodellingstudy
AT yanxie theglobalandnationalburdenofchronickidneydiseaseattributabletoambientfineparticulatematterairpollutionamodellingstudy
AT ziyadalaly theglobalandnationalburdenofchronickidneydiseaseattributabletoambientfineparticulatematterairpollutionamodellingstudy
AT elenaartimovich theglobalandnationalburdenofchronickidneydiseaseattributabletoambientfineparticulatematterairpollutionamodellingstudy
AT miaocai theglobalandnationalburdenofchronickidneydiseaseattributabletoambientfineparticulatematterairpollutionamodellingstudy
AT yanyan globalandnationalburdenofchronickidneydiseaseattributabletoambientfineparticulatematterairpollutionamodellingstudy
AT benjaminbowe globalandnationalburdenofchronickidneydiseaseattributabletoambientfineparticulatematterairpollutionamodellingstudy
AT yanxie globalandnationalburdenofchronickidneydiseaseattributabletoambientfineparticulatematterairpollutionamodellingstudy
AT ziyadalaly globalandnationalburdenofchronickidneydiseaseattributabletoambientfineparticulatematterairpollutionamodellingstudy
AT elenaartimovich globalandnationalburdenofchronickidneydiseaseattributabletoambientfineparticulatematterairpollutionamodellingstudy
AT miaocai globalandnationalburdenofchronickidneydiseaseattributabletoambientfineparticulatematterairpollutionamodellingstudy