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Long-term exposure to fine particulate matter relates with incident myocardial infarction (MI) risks and post-MI mortality: A metaanalysis

期刊

CHEMOSPHERE
卷 267, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chemosphere.2020.128903

关键词

Fine particulate matter; PM2.5; Myocardial infarction; MI; Post-MI mortality; Meta-analysis

资金

  1. National Natural Science Foundation of China (NSFC) [81803271]
  2. China Postdoctoral Science Foundation [2018M642318, 2019T120458]
  3. Jiangsu Planned Projects for Postdoctoral Research Fund [2018K234C]
  4. Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)

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A meta-analysis showed a significant association between long-term exposure to PM2.5 and increased risks of myocardial infarction (MI) and post-MI mortality. There was no apparent publication bias, indicating the reliability of the results. These findings may have implications for improving public health and policy-making.
Background: Air pollution has become a global challenge, and a growing number of studies have suggested possible relationships between long-term exposure to fine particulate matter (PM2.5) and risks of cardiovascular events, specifically, myocardial infarction (MI). However, the recently reported results were inconsistent. We thus performed a meta-analysis and sought to assess whether long-term exposure to PM2.5 relates with incident MI risks and post-MI mortality. Methods: EMBASE, Web of Science and PubMed were searched for all potentially eligible studies published before August 2, 2020 using a combination of keywords related to PM2.5 exposure, its long-term effects and myocardial infarction. Key information was extracted, and calculated hazard ratio (HR) values were combined by selecting corresponding models according to heterogeneity test. A sensitivity analysis and a publication bias assessment were also performed to determine the reliability of the results. Results: Of the initially identified 2100 citations, 12 studies met our inclusion criteria and observed a total population of approximately 7.2 million. Pooled estimates (per 10 mu g/m(3) increase) indicated a statistically significant association between long-term PM 2 . 5 exposure and MI incidence (HR = 1.10, 95% CI: 1.02-1.18) or post-MI mortality (HR = 1.07, 95% CI: 1.04-1.09). Results for MI incidence from Egger's linear regression method (P = 0.515) and Begg's test (P = 0.711) showed no obvious publication bias. Conclusion: Our quantitative analysis reveals a significant link between long-term PM2. (5) exposure and greater MI incidence risks or higher post-MI mortality. Our findings may therefore have implications for individual protection and policy support to improve public health. (C) 2020 Elsevier Ltd. All rights reserved.

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