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Association between ambient fine particulate pollution and hospital admissions for cause specific cardiovascular disease: time series study in 184 major Chinese cities
OBJECTIVE: To estimate the risks of daily hospital admissions for cause specific major cardiovascular diseases associated with short term exposure to ambient fine particulate matter (aerodynamic diameter ≤2.5 μm; PM(2.5)) pollution in China. DESIGN: National time series study. SETTING: 184 major cit...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group Ltd.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190041/ https://www.ncbi.nlm.nih.gov/pubmed/31888884 http://dx.doi.org/10.1136/bmj.l6572 |
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author | Tian, Yaohua Liu, Hui Wu, Yiqun Si, Yaqin Song, Jing Cao, Yaying Li, Man Wu, Yao Wang, Xiaowen Chen, Libo Wei, Chen Gao, Pei Hu, Yonghua |
author_facet | Tian, Yaohua Liu, Hui Wu, Yiqun Si, Yaqin Song, Jing Cao, Yaying Li, Man Wu, Yao Wang, Xiaowen Chen, Libo Wei, Chen Gao, Pei Hu, Yonghua |
author_sort | Tian, Yaohua |
collection | PubMed |
description | OBJECTIVE: To estimate the risks of daily hospital admissions for cause specific major cardiovascular diseases associated with short term exposure to ambient fine particulate matter (aerodynamic diameter ≤2.5 μm; PM(2.5)) pollution in China. DESIGN: National time series study. SETTING: 184 major cities in China. POPULATION: 8 834 533 hospital admissions for cardiovascular causes in 184 Chinese cities recorded by the national database of Urban Employee Basic Medical Insurance from 1 January 2014 to 31 December 2017. MAIN OUTCOME MEASURES: Daily counts of city specific hospital admissions for primary diagnoses of ischaemic heart disease, heart failure, heart rhythm disturbances, ischaemic stroke, and haemorrhagic stroke among different demographic groups were used to estimate the associations between PM(2.5) and morbidity. An overdispersed generalised additive model was used to estimate city specific associations between PM(2.5) and cardiovascular admissions, and random effects meta-analysis used to combine the city specific estimates. RESULTS: Over the study period, a mean of 47 hospital admissions per day (standard deviation 74) occurred for cardiovascular disease, 26 (53) for ischaemic heart disease, one (five) for heart failure, two (four) for heart rhythm disturbances, 14 (28) for ischaemic stroke, and two (four) for haemorrhagic stroke. At the national average level, an increase of 10 μg/m(3) in PM(2.5) was associated with a 0.26% (95% confidence interval 0.17% to 0.35%) increase in hospital admissions on the same day for cardiovascular disease, 0.31% (0.22% to 0.40%) for ischaemic heart disease, 0.27% (0.04% to 0.51%) for heart failure, 0.29% (0.12% to 0.46%) for heart rhythm disturbances, and 0.29% (0.18% to 0.40%) for ischaemic stroke, but not with haemorrhagic stroke (−0.02% (−0.23% to 0.19%)). The national average association of PM(2.5) with cardiovascular disease was slightly non-linear, with a sharp slope at PM(2.5) levels below 50 μg/m(3), a moderate slope at 50-250 μg/m(3), and a plateau at concentrations higher than 250 μg/m(3). Compared with days with PM(2.5) up to 15 μg/m(3), days with PM(2.5) of 15-25, 25-35, 35-75, and 75 μg/m(3) or more were significantly associated with increases in cardiovascular admissions of 1.1% (0 to 2.2%), 1.9% (0.6% to 3.2%), 2.6% (1.3% to 3.9%), and 3.8% (2.1% to 5.5%), respectively.According to projections, achieving the Chinese grade 2 (35 μg/m(3)), Chinese grade 1 (15 μg/m(3)), and World Health Organization (10 μg/m(3)) regulatory limits for annual mean PM(2.5) concentrations would reduce the annual number of admissions for cardiovascular disease in China. Assuming causality, which should be done with caution, this reduction would translate into an estimated 36 448 (95% confidence interval 24 441 to 48 471), 85 270 (57 129 to 113 494), and 97 516 (65 320 to 129 820), respectively. CONCLUSIONS: These data suggest that in China, short term exposure to PM(2.5) is associated with increased hospital admissions for all major cardiovascular diseases except for haemorrhagic stroke, even for exposure levels not exceeding the current regulatory limits. |
format | Online Article Text |
id | pubmed-7190041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71900412020-05-01 Association between ambient fine particulate pollution and hospital admissions for cause specific cardiovascular disease: time series study in 184 major Chinese cities Tian, Yaohua Liu, Hui Wu, Yiqun Si, Yaqin Song, Jing Cao, Yaying Li, Man Wu, Yao Wang, Xiaowen Chen, Libo Wei, Chen Gao, Pei Hu, Yonghua BMJ Research OBJECTIVE: To estimate the risks of daily hospital admissions for cause specific major cardiovascular diseases associated with short term exposure to ambient fine particulate matter (aerodynamic diameter ≤2.5 μm; PM(2.5)) pollution in China. DESIGN: National time series study. SETTING: 184 major cities in China. POPULATION: 8 834 533 hospital admissions for cardiovascular causes in 184 Chinese cities recorded by the national database of Urban Employee Basic Medical Insurance from 1 January 2014 to 31 December 2017. MAIN OUTCOME MEASURES: Daily counts of city specific hospital admissions for primary diagnoses of ischaemic heart disease, heart failure, heart rhythm disturbances, ischaemic stroke, and haemorrhagic stroke among different demographic groups were used to estimate the associations between PM(2.5) and morbidity. An overdispersed generalised additive model was used to estimate city specific associations between PM(2.5) and cardiovascular admissions, and random effects meta-analysis used to combine the city specific estimates. RESULTS: Over the study period, a mean of 47 hospital admissions per day (standard deviation 74) occurred for cardiovascular disease, 26 (53) for ischaemic heart disease, one (five) for heart failure, two (four) for heart rhythm disturbances, 14 (28) for ischaemic stroke, and two (four) for haemorrhagic stroke. At the national average level, an increase of 10 μg/m(3) in PM(2.5) was associated with a 0.26% (95% confidence interval 0.17% to 0.35%) increase in hospital admissions on the same day for cardiovascular disease, 0.31% (0.22% to 0.40%) for ischaemic heart disease, 0.27% (0.04% to 0.51%) for heart failure, 0.29% (0.12% to 0.46%) for heart rhythm disturbances, and 0.29% (0.18% to 0.40%) for ischaemic stroke, but not with haemorrhagic stroke (−0.02% (−0.23% to 0.19%)). The national average association of PM(2.5) with cardiovascular disease was slightly non-linear, with a sharp slope at PM(2.5) levels below 50 μg/m(3), a moderate slope at 50-250 μg/m(3), and a plateau at concentrations higher than 250 μg/m(3). Compared with days with PM(2.5) up to 15 μg/m(3), days with PM(2.5) of 15-25, 25-35, 35-75, and 75 μg/m(3) or more were significantly associated with increases in cardiovascular admissions of 1.1% (0 to 2.2%), 1.9% (0.6% to 3.2%), 2.6% (1.3% to 3.9%), and 3.8% (2.1% to 5.5%), respectively.According to projections, achieving the Chinese grade 2 (35 μg/m(3)), Chinese grade 1 (15 μg/m(3)), and World Health Organization (10 μg/m(3)) regulatory limits for annual mean PM(2.5) concentrations would reduce the annual number of admissions for cardiovascular disease in China. Assuming causality, which should be done with caution, this reduction would translate into an estimated 36 448 (95% confidence interval 24 441 to 48 471), 85 270 (57 129 to 113 494), and 97 516 (65 320 to 129 820), respectively. CONCLUSIONS: These data suggest that in China, short term exposure to PM(2.5) is associated with increased hospital admissions for all major cardiovascular diseases except for haemorrhagic stroke, even for exposure levels not exceeding the current regulatory limits. BMJ Publishing Group Ltd. 2019-12-30 /pmc/articles/PMC7190041/ /pubmed/31888884 http://dx.doi.org/10.1136/bmj.l6572 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. 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Research Tian, Yaohua Liu, Hui Wu, Yiqun Si, Yaqin Song, Jing Cao, Yaying Li, Man Wu, Yao Wang, Xiaowen Chen, Libo Wei, Chen Gao, Pei Hu, Yonghua Association between ambient fine particulate pollution and hospital admissions for cause specific cardiovascular disease: time series study in 184 major Chinese cities |
title | Association between ambient fine particulate pollution and hospital admissions for cause specific cardiovascular disease: time series study in 184 major Chinese cities |
title_full | Association between ambient fine particulate pollution and hospital admissions for cause specific cardiovascular disease: time series study in 184 major Chinese cities |
title_fullStr | Association between ambient fine particulate pollution and hospital admissions for cause specific cardiovascular disease: time series study in 184 major Chinese cities |
title_full_unstemmed | Association between ambient fine particulate pollution and hospital admissions for cause specific cardiovascular disease: time series study in 184 major Chinese cities |
title_short | Association between ambient fine particulate pollution and hospital admissions for cause specific cardiovascular disease: time series study in 184 major Chinese cities |
title_sort | association between ambient fine particulate pollution and hospital admissions for cause specific cardiovascular disease: time series study in 184 major chinese cities |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190041/ https://www.ncbi.nlm.nih.gov/pubmed/31888884 http://dx.doi.org/10.1136/bmj.l6572 |
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