Association between ambient air pollution exposure levels and the risk of developing pulmonary embolism in the Chinese population: findings from the Chinese Cardiovascular Association (CCA) Database-Chest Pain Centre

中国人群环境空气污染暴露水平与肺栓塞发生风险之间的关联:来自中国心血管病学会(CCA)数据库-胸痛中心的研究结果

阅读:2

Abstract

OBJECTIVE: To analyse the associations between exposure to different air pollutants and the morbidity of pulmonary embolism (PE). DESIGN: Time series study with a distribution lag non-linear model. SETTING: 275 cities in China, 1 January 2015 to 31 March 2022. PARTICIPANTS: 27 369 cases of PE. MAIN OUTCOME MEASURES: The associations between exposure to different air pollutants and the morbidity of PE. RESULTS: During the study period, 27 369 cases of PE were recorded. PM(2.5)(Particulate Matter 2.5), PM(10)(Particulate Matter 10) and NO(2)(Nitrogen Dioxide) exposure levels were associated with an increased risk of developing PE in the single-pollutant model. PM(2.5) exposure caused the greatest risk of developing PE at lag 1 in the single-day lag model, with a relative risk (RR) value of 1.033 (95% CI 1.007 to 1.058). PM(10) and NO(2) exposure had the greatest effects at lag 0, with RR values of 1.038 (95% CI 1.016 to 1.059) and 1.039 (95% CI 1.009 to 1.068), respectively. No associations were found between CO(Carbon Monoxide), O(3)(Ozone) or SO(2)(Sulfur Dioxide) exposure levels and the risk of developing PE. PM(2.5), PM(10) and NO(2) exposure levels were most strongly associated with the development of PE at lag 01 in the cumulative lag model, with RR values of 1.052 (95% CI 1.009 to 1.095), 1.053 (95% CI 1.020 to 1.086) and 1.058 (95% CI 1.005 to 1.111), respectively. CONCLUSIONS: Short-term exposure to PM(2.5), PM(10) and NO(2) can increase the risk of developing PE, especially in females. The effects of PM(2.5) and PM(10) exposure were more significant in cold seasons and in North China.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。