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      Association between ambient air pollution and daily hospital admissions for ischemic stroke: A nationwide time-series analysis

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          Abstract

          Background

          Evidence of the short-term effects of ambient air pollution on the risk of ischemic stroke in low- and middle-income countries is limited and inconsistent. We aimed to examine the associations between air pollution and daily hospital admissions for ischemic stroke in China.

          Methods and findings

          We identified hospital admissions for ischemic stroke in 2014–2016 from the national database covering up to 0.28 billion people who received Urban Employee Basic Medical Insurance (UEBMI) in China. We examined the associations between air pollution and daily ischemic stroke admission using a two-stage method. Poisson time-series regression models were firstly fitted to estimate the effects of air pollution in each city. Random-effects meta-analyses were then conducted to combine the estimates. Meta-regression models were applied to explore potential effect modifiers. More than 2 million hospital admissions for ischemic stroke were identified in 172 cities in China. In single-pollutant models, increases of 10 μg/m 3 in particulate matter with aerodynamic diameter <2.5 μm (PM 2.5), sulfur dioxide (SO 2), nitrogen dioxide (NO 2), and ozone (O 3) and 1 mg/m 3 in carbon monoxide (CO) concentrations were associated with 0.34% (95% confidence interval [CI], 0.20%–0.48%), 1.37% (1.05%–1.70%), 1.82% (1.45%–2.19%), 0.01% (−0.14%–0.16%), and 3.24% (2.05%–4.43%) increases in hospital admissions for ischemic stroke on the same day, respectively. SO 2 and NO 2 associations remained significant in two-pollutant models, but not PM 2.5 and CO associations. The effect estimates were greater in cities with lower air pollutant levels and higher air temperatures, as well as in elderly subgroups. The main limitation of the present study was the unavailability of data on individual exposure to ambient air pollution.

          Conclusions

          As the first national study in China to systematically examine the associations between short-term exposure to ambient air pollution and ischemic stroke, our findings indicate that transient increase in air pollution levels may increase the risk of ischemic stroke, which may have significant public health implications for the reduction of ischemic stroke burden in China.

          Abstract

          Yonghua Hu and colleagues, in a large-scale analysis of 172 cities in China, reveal associations between short-term air pollution exposure and increased incidences of stroke.

          Author summary

          Why was this study done?
          • Epidemiological studies have reported associations between short-term exposure to ambient air pollution and mortality and morbidity from ischemic stroke.

          • Previous studies have been primarily conducted in high-income countries, and few research data at the country level have been generated in low- and middle-income countries, despite their much higher air pollution levels.

          What did the researchers do and find?
          • We conducted a national time-series study using data on more than 2 million hospital admissions for ischemic stroke in 172 cities in China from 2014 to 2016.

          • City-specific associations between ambient air pollution and hospital admissions for ischemic stroke were estimated with Poisson time-series regression models. Random-effects meta-analyses were used to obtain national and regional average associations.

          • Our results indicated that short-term exposures to PM 2.5, SO 2, NO 2, and CO were associated with increased hospital admissions for ischemic stroke. The associations were stronger in the elderly.

          What do these findings mean?
          • To our knowledge, this is the first national study in China to systematically examine the associations between short-term exposure to ambient air pollution and ischemic stroke.

          • Our findings strengthened the rationale for further limiting air pollution levels in low- and middle-income countries.

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          Most cited references40

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          Global Burden of Stroke.

          On the basis of the GBD (Global Burden of Disease) 2013 Study, this article provides an overview of the global, regional, and country-specific burden of stroke by sex and age groups, including trends in stroke burden from 1990 to 2013, and outlines recommended measures to reduce stroke burden. It shows that although stroke incidence, prevalence, mortality, and disability-adjusted life-years rates tend to decline from 1990 to 2013, the overall stroke burden in terms of absolute number of people affected by, or who remained disabled from, stroke has increased across the globe in both men and women of all ages. This provides a strong argument that "business as usual" for primary stroke prevention is not sufficiently effective. Although prevention of stroke is a complex medical and political issue, there is strong evidence that substantial prevention of stroke is feasible in practice. The need to scale-up the primary prevention actions is urgent.
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            Short term exposure to air pollution and stroke: systematic review and meta-analysis

            Objective To review the evidence for the short term association between air pollution and stroke. Design Systematic review and meta-analysis of observational studies Data sources Medline, Embase, Global Health, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Web of Science searched to January 2014 with no language restrictions. Eligibility criteria Studies investigating the short term associations (up to lag of seven days) between daily increases in gaseous pollutants (carbon monoxide, sulphur dioxide, nitrogen dioxide, ozone) and particulate matter (<2.5 µm or <10 µm diameter (PM2.5 and PM10)), and admission to hospital for stroke or mortality. Main outcome measures Admission to hospital and mortality from stroke. Results From 2748 articles, 238 were reviewed in depth with 103 satisfying our inclusion criteria and 94 contributing to our meta-estimates. This provided a total of 6.2 million events across 28 countries. Admission to hospital for stroke or mortality from stroke was associated with an increase in concentrations of carbon monoxide (relative risk 1.015 per 1 ppm, 95% confidence interval 1.004 to 1.026), sulphur dioxide (1.019 per 10 ppb, 1.011 to 1.027), and nitrogen dioxide (1.014 per 10 ppb, 1.009 to 1.019). Increases in PM2.5 and PM10 concentration were also associated with admission and mortality (1.011 per 10 μg/m3 (1.011 to 1.012) and 1.003 per 10 µg/m3 (1.002 to 1.004), respectively). The weakest association was seen with ozone (1.001 per 10 ppb, 1.000 to 1.002). Strongest associations were observed on the day of exposure with more persistent effects observed for PM2·5. Conclusion Gaseous and particulate air pollutants have a marked and close temporal association with admissions to hospital for stroke or mortality from stroke. Public and environmental health policies to reduce air pollution could reduce the burden of stroke. Systematic review registration PROSPERO-CRD42014009225.
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              Health effects of fine particulate air pollution: lines that connect.

              Efforts to understand and mitigate thehealth effects of particulate matter (PM) air pollutionhave a rich and interesting history. This review focuseson six substantial lines of research that have been pursued since 1997 that have helped elucidate our understanding about the effects of PM on human health. There hasbeen substantial progress in the evaluation of PM health effects at different time-scales of exposure and in the exploration of the shape of the concentration-response function. There has also been emerging evidence of PM-related cardiovascular health effects and growing knowledge regarding interconnected general pathophysiological pathways that link PM exposure with cardiopulmonary morbidiity and mortality. Despite important gaps in scientific knowledge and continued reasons for some skepticism, a comprehensive evaluation of the research findings provides persuasive evidence that exposure to fine particulate air pollution has adverse effects on cardiopulmonaryhealth. Although much of this research has been motivated by environmental public health policy, these results have important scientific, medical, and public health implications that are broader than debates over legally mandated air quality standards.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: VisualizationRole: Writing – original draft
                Role: Data curationRole: InvestigationRole: SoftwareRole: Writing – review & editing
                Role: Formal analysisRole: Writing – review & editing
                Role: Formal analysisRole: Writing – review & editing
                Role: Formal analysisRole: Writing – original draft
                Role: Formal analysisRole: Writing – review & editing
                Role: Formal analysisRole: Writing – review & editing
                Role: Formal analysisRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: SoftwareRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: SoftwareRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                4 October 2018
                October 2018
                : 15
                : 10
                : e1002668
                Affiliations
                [1 ] Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
                [2 ] Medical Informatics Center, Peking University, Beijing, China
                [3 ] Beijing HealthCom Data Technology Co. Ltd, Beijing, China
                University of Wisconsin, Madison, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-3773-1339
                http://orcid.org/0000-0002-5024-2652
                http://orcid.org/0000-0003-1631-3952
                http://orcid.org/0000-0001-8649-1290
                Article
                PMEDICINE-D-18-01001
                10.1371/journal.pmed.1002668
                6171821
                30286080
                7fe815d2-d224-49e6-a50f-ba1578150c75
                © 2018 Tian et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 15 March 2018
                : 7 September 2018
                Page count
                Figures: 3, Tables: 5, Pages: 16
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 91546120
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 81473043
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 71402003
                Award Recipient :
                Funded by: National Thousand Talents Program for Distinguished Young Scholars
                Award ID: QNQR201501
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 81230006
                Award Recipient :
                YH is funded by the China National Natural Science Foundation (81230006, 81473043; http://www.nsfc.gov.cn). PG is funded by the China National Natural Science Foundation (91546120, 71402003; http://www.nsfc.gov.cn) and the National Thousand Talents Program for Distinguished Young Scholars, China (QNQR201501, http://www.nsfc.gov.cn). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Engineering and Technology
                Environmental Engineering
                Pollution
                Air Pollution
                Medicine and Health Sciences
                Neurology
                Cerebrovascular Diseases
                Stroke
                Ischemic Stroke
                Medicine and Health Sciences
                Vascular Medicine
                Stroke
                Ischemic Stroke
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Hospitals
                People and Places
                Geographical Locations
                Asia
                China
                Earth Sciences
                Atmospheric Science
                Meteorology
                Humidity
                Social Sciences
                Economics
                Economic Analysis
                Medicine and Health Sciences
                Geriatrics
                Social Sciences
                Economics
                Health Economics
                Health Insurance
                Medicine and Health Sciences
                Health Care
                Health Economics
                Health Insurance
                Custom metadata
                Air pollution data used in this study can be obtained from the China Environmental Monitoring Center ( http://106.37.208.233:20035). Meteorological data can be accessed from the China Meteorological Data Sharing Service System ( http://data.cma.cn/). Summarized health data can be accessed by contacting the National Insurance Claims for Epidemiological Research (NICER) Group, School of Public Health, Peking University. Contact email: 0016156078@ 123456bjmu.edu.cn .

                Medicine
                Medicine

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