Extreme Temperature Events, Fine Particulate Matter, and Myocardial Infarction Mortality

• Published in: Circulation (New York, N.Y.) Vol. 148; no. 4; pp. 312 - 323
• Main Authors: Xu, Ruijun, Huang, Suli, Shi, Chunxiang, Wang, Rui, Liu, Tingting, Li, Yingxin, Zheng, Yi, Lv, Ziquan, Wei, Jing, Sun, Hong, Liu, Yuewei
• Format: Journal Article
• Language: English
• Published: United States Lippincott Williams & Wilkins 25.07.2023
• Subjects: Aged; Air Pollutants - adverse effects; Air Pollutants - analysis; Air Pollution - adverse effects; Air Pollution - analysis; China - epidemiology; Cross-Over Studies; Environmental Exposure - adverse effects; Environmental Exposure - analysis; Female; Humans; Mortality; Myocardial Infarction; Particulate Matter - adverse effects; Particulate Matter - analysis; Temperature; China; mortality; particulate matter; cold temperature; death; hot temperature; myocardial infarction
• DOI: 10.1161/CIRCULATIONAHA.122.063504
• ISSN: 0009-7322; 1524-4539

Extreme temperature events (ETEs), including heat wave and cold spell, have been linked to myocardial infarction (MI) morbidity; however, their effects on MI mortality are less clear. Although ambient fine particulate matter (PM ) is suggested to act synergistically with extreme temperatures on cardiovascular mortality, it remains unknown if and how ETEs and PM interact to trigger MI deaths. A time-stratified case-crossover study of 202 678 MI deaths in Jiangsu province, China, from 2015 to 2020, was conducted to investigate the association of exposure to ETEs and PM with MI mortality and evaluate their interactive effects. On the basis of ambient apparent temperature, multiple temperature thresholds and durations were used to build 12 ETE definitions. Daily ETEs and PM exposures were assessed by extracting values from validated grid datasets at each subject's geocoded residential address. Conditional logistic regression models were applied to perform exposure-response analyses and estimate relative excess odds due to interaction, proportion attributable to interaction, and synergy index. Under different ETE definitions, the odds ratio of MI mortality associated with heat wave and cold spell ranged from 1.18 (95% CI, 1.14-1.21) to 1.74 (1.66-1.83), and 1.04 (1.02-1.06) to 1.12 (1.07-1.18), respectively. Lag 01-day exposure to PM was significantly associated with an increased odds of MI mortality, which attenuated at higher exposures. We observed a significant synergistic interaction of heat wave and PM on MI mortality (relative excess odds due to interaction >0, proportion attributable to interaction >0, and synergy index >1), which was higher, in general, for heat wave with greater intensities and longer durations. We estimated that up to 2.8% of the MI deaths were attributable to exposure to ETEs and PM at levels exceeding the interim target 3 value (37.5 μg/m ) of World Health Organization air quality guidelines. Women and older adults were more vulnerable to ETEs and PM . The interactive effects of ETEs or PM on MI mortality did not vary across sex, age, or socioeconomic status. This study provides consistent evidence that exposure to both ETEs and PM is significantly associated with an increased odds of MI mortality, especially for women and older adults, and that heat wave interacts synergistically with PM to trigger MI deaths but cold spell does not. Our findings suggest that mitigating both ETE and PM exposures may bring health cobenefits in preventing premature deaths from MI.