Hourly air pollution exposure and emergency department visit for acute myocardial infarction: Vulnerable populations and susceptible time window☆

被引:26
作者
Cheng, Jian [1 ,2 ]
Tong, Shilu [3 ,4 ,5 ]
Su, Hong [1 ,2 ]
Xu, Zhiwei [6 ]
机构
[1] Anhui Med Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, Hefei, Peoples R China
[2] Anhui Prov Key Lab Major Autoimmune Dis, Hefei, Peoples R China
[3] Shanghai Jiao Tong Univ, Sch Med, Shanghai Childrens Med Ctr, Dept Clin Epidemiol & Biostat, Shanghai, Peoples R China
[4] Anhui Med Univ, Inst Environm & Populat Hlth, Sch Publ Hlth, Hefei, Peoples R China
[5] Queensland Univ Technol, Sch Publ Hlth & Social Work, Brisbane, Qld, Australia
[6] Univ Queensland, Sch Publ Hlth, Fac Med, 288 Herston Rd, Herston, Qld 4006, Australia
基金
澳大利亚研究理事会;
关键词
Acute myocardial infarction; Particulate matter; Gaseous pollutant; Hourly exposure; CASE-CROSSOVER; ASSOCIATION; MORTALITY; CLIMATE; ONSET; PM2.5; RISK;
D O I
10.1016/j.envpol.2021.117806
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Although short-term exposure to air pollution can trigger sudden heart attacks, evidence is scarce regarding the relationship between sub-daily changes in air pollution level and the risk of acute myocardial infarction (AMI). Here we assessed the intraday effect of air pollution on AMI risk and potential effect modification by pre-existing cardiac risk factors. Hourly data on emergency department visits (EDVs) for AMI and air pollutants in Brisbane, Australia during 2013-2015 were acquired from pertinent government departments. A time-stratified casecrossover analysis was adopted to examine relationships of AMI risk with hourly changes in particulate matters (aerodynamic diameter < 2.5 mu m (PM2.5) and <10 mu m (PM10)) and gaseous pollutants (ozone and nitrogen dioxide) after adjusting for potential confounders. We also conducted stratified analyses according to age, gender, disease history, season, and day/night time exposure. Excess risk of AMI per 10 mu g/m3 increase in air pollutant concentration was reported at four time windows: within 1, 2-6, 7-12, and 13-24 h. Both single- and multipollutant models found an elevated risk of AMI within 2-6 h after exposure to PM2.5 (excessive risk: 12.34%, 95% confidence interval (CI): 1.44%-24.42% in single-pollutant model) and PM10 within 1 h (excessive risk: 5.21%, 95% CI: 0.26%-10.40% in single-pollutant model). We did not find modification effect by age, gender, season or day/night time, except that PM2.5 had a greater effect on EDVs for AMI during night-time than daytime. Our findings suggest that AMI risk could increase within hours after exposure to particulate matters.
引用
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页数:8
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