Association between ambient particulate matter air pollution and ST-elevation myocardial infarction: A case-crossover study in a Chinese city

Li, Jiading; Liu, Cong; Cheng, Yuexin; Guo, Shutao; Sun, Qian; Kan, Lena; Chen, Renjie; Kan, Haidong; Bai, Hongjian; Cao, Jingyan

doi:10.1016/j.chemosphere.2018.12.094

Cited by 46 publications

(29 citation statements)

References 34 publications

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“…Linear relationships were first assumed, which were consistent with the broad literature on air pollutants and cardiovascular health. 10,21 The polynomial distributed lag model was applied to account for linear associations and collinearity across different lag hours when constructing the cross-basis functions. A maximum of 72 lag hours was selected a priori as most previous studies reported that short-term effects of air pollution on myocardial infarction are within 72 hours.…”

Section: Methodsmentioning

confidence: 99%

Hourly Air Pollutants and Acute Coronary Syndrome Onset in 1.29 Million Patients

Chen

Jiang

et al. 2022

Circulation

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Background: Short-term exposure to ambient air pollution has been linked with daily hospitalization and mortality of acute coronary syndrome (ACS); however, the associations of sub-daily (hourly) levels of criteria air pollutants with the onset of ACS and its subtypes have rarely been evaluated. Methods: We conducted a time-stratified case-crossover study among 1,292,880 ACS patients from 2,239 hospitals in 318 Chinese cities between January 1, 2015, and September 30, 2020. Hourly concentrations of fine particulate matter (PM 2.5 ), coarse particulate matter (PM 2.5-10 ), nitrogen dioxide (NO 2 ), sulfur dioxide (SO 2 ), carbon monoxide (CO), and ozone (O 3 ) were collected. Hourly onset data of ACS and its subtypes, including ST-segment-elevation myocardial infarction, non-ST-segment-elevation myocardial infarction, and unstable angina, were also obtained. Conditional logistic regressions combined with polynomial distributed lag models were applied. Results: Acute exposures to PM 2.5 , NO 2 , SO 2 , and CO were each associated with the onset of ACS and its subtype. These associations were strongest in the concurrent hour of exposure and were attenuated thereafter, with the weakest effects observed after 15-29 hours. There were no apparent thresholds in the concentration-response curves. An interquartile range increase in concentrations of PM 2.5 (36.0 μg/m 3 ), NO 2 (29.0 μg/m 3 ), SO 2 (9.0 μg/m 3 ), and CO (0.6 mg/m 3 ) over the 0-24 hours preceding onset was significantly associated with 1.32%, 3.89%, 0.67%, and 1.55% higher risks of ACS onset, respectively. For a given pollutant, the associations were comparable in magnitude across different subtypes of ACS. Generally, NO 2 showed the strongest associations with all three subtypes, followed by PM 2.5 , CO, and SO 2 . Greater magnitude of associations was observed among patients older than 65, without a history of smoking or chronic cardiorespiratory diseases, and in the cold season. Null associations of exposure to either PM 2.5-10 or O 3 with ACS onset were observed. Conclusions: The results suggest that transient exposure to the air pollutants of PM 2.5 , NO 2 , SO 2 , CO, but not PM 2.5-10 or O 3 , may trigger the onset of ACS, even at concentrations below the World Health Organization air-quality guidelines.

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Section: Methodsmentioning

confidence: 99%

Hourly Air Pollutants and Acute Coronary Syndrome Onset in 1.29 Million Patients

Chen

Jiang

et al. 2022

Circulation

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“…Among these pollutants, atmospheric fine particulate matter (PM 2.5 ) is recognized as the main air pollutant problem, which is emitted mainly by combustion processes, road dust suspension, electricity generation and industrial processes, besides secondary formation ( Smith, 1993 ; Szybist et al, 2007 ). Several studies show its effect on climate ( Lashof and Ahuja, 1990 ; Stohl et al, 2015 ; Zhang et al, 2010 ) and human health, being mainly associated with respiratory ( Bakonyi et al, 2004 ; Lin, 2005 ; Luginaah et al, 2005 ; Reid et al, 2019 ) and circulatory diseases ( Ardiles et al, 2017 ; Li et al, 2019a ; Maté et al, 2010 ), as well as mental disorders ( Almendra et al, 2019 ; Peng et al, 2017 ; Song et al, 2018 ; Silva et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Biodegradable CA/CPB electrospun nanofibers for efficient retention of airborne nanoparticles

Almeida

Martins

Muniz

et al. 2020

Process Safety and Environmental Protection

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Highlights CA/CPB nanofibers have a filtration efficiency of 99.9 % for aerosol (7−300 nm). The Ergun’s porosity of the nanofibers is 98 % and the permeability about 10 −11 m 2 . CA/CPB nanofibers are biodegradable and sustainable novel air filters. The nanofibers are able to retention environmental PM 2.5 , BC and also virus.

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“…However, a research study from Changzhou observed a negative association between ambient NO 2 concentrations and AMI hospitalizations [15]. In addition, several other studies in China found no association between CO, SO 2, and AMI risk [24][25][26].…”

Section: Discussionmentioning

confidence: 95%

Ambient Air Pollution and Hospitalization for Acute Myocardial Infarction in Chongqing, China: A Time-Stratified Case Crossover Analysis

et al. 2022

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Previous studies have demonstrated that short-term exposure to ambient air pollution was associated with hospital admissions for cardiovascular diseases, but the evidence of its effects on acute myocardial infarction (AMI) in East Asian countries is limited and inconsistent. We aimed to investigate the association between air pollution and AMI hospitalizations in Chongqing, China. This time-stratified case-crossover study included 872 patients with AMI from three hospitals in Chongqing from January 2015 to December 2016. Exposures were compared between days with AMI (case days) and days without AMI (control days). Spearman’s correlation coefficient was applied to explore the correlation between air pollutants and meteorological conditions. Conditional logistic regression was used to assess the associations between air pollution exposure with different lag periods and AMI hospitalizations. Stratification analysis was further implemented by sex, age, and season. Hospitalizations for AMI were signifficantly associated with air pollution. All analyzed air pollutants showed lag-specific at lag 0 day and lag 01 day, whereas a 10 μg/m3 increase of average concentrations in PM2.5, PM10, SO2, NO2, and CO was associated with 1.034% (95% CI: 1.003–1.067%), 1.035% (95% CI:1.015–1.056%), 1.231% (95% CI: 1.053–1.438%), 1.062% (95% CI: 1.018–1.107%), and 1.406% (95% CI: 1.059–1.866%) increase in hospitalizations for AMI, respectively. No effect modifications were detected for sex, age, and season. Our findings suggest that short-term exposure to PM2.5, PM10, SO2, NO2, and CO contributes to increase AMI hospitalizations, which have public health implications for primary prevention and emergency health services.

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Association between ambient particulate matter air pollution and ST-elevation myocardial infarction: A case-crossover study in a Chinese city

Cited by 46 publications

References 34 publications

Hourly Air Pollutants and Acute Coronary Syndrome Onset in 1.29 Million Patients

Hourly Air Pollutants and Acute Coronary Syndrome Onset in 1.29 Million Patients

Biodegradable CA/CPB electrospun nanofibers for efficient retention of airborne nanoparticles

Ambient Air Pollution and Hospitalization for Acute Myocardial Infarction in Chongqing, China: A Time-Stratified Case Crossover Analysis

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