scholarly journals Regional air pollution severity affects the incidence of acute myocardial infarction triggered by short-term pollutant exposure: A time-stratified case-crossover analysis

2021 ◽  
Author(s):  
Chih-Chien Yen ◽  
Ping-Ling Chen
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Air Pollution ◽  
Short Term ◽  
Case Crossover ◽  
Short Term Exposure ◽  
High Incidence ◽  
Crossover Analysis ◽  
Pollution Area ◽  
Regional Air Pollution

Abstract Background Long-term exposure to air pollution results in a high incidence of cardiovascular disease. Whether acute myocardial infarction is triggered by short-term exposure to air pollution is related to the average severity of air pollution in the area.DesignCase-crossover analysis.MethodsThis was a retrospective study based on hospital medical records. The study period was 2017-2018. Research data were collected from Taoyuan Hospital, which is located in a low-severity pollution area, and Taichung Hospital, which is in a high-severity pollution area, and the correlation between short-term air pollution exposure and acute myocardial infarction was analyzed.ResultsThe correlation between short-term exposure to ambient air pollutants and acute myocardial infarction was not significant for the cases collected from Taoyuan Hospital (PM2.5 OR: 1.006 & 95% CI: 0.995-1.017; PM10 OR: 0.996 & 95% CI: 0.988-1.003). However, for the cases collected from Taichung Hospital, short-term exposure to ambient PM2.5 (odds ratio: 1.021; 95% confidence interval: 1.002-1.040) and PM10 (odds ratio: 1.010; 95% confidence interval: 1.001-1.020) resulted in high incidence of acute myocardial infarction.ConclusionsShort-term pollutant exposure will increase the incidence of acute myocardial infarction based on the severity of regional air pollution. In addition to addressing traditional cardiovascular disease risk factors, the government must formulate relevant policies for reducing air pollution and thus the hazards to national health.

Association of short-term exposure to air pollution with myocardial infarction with and without obstructive coronary artery disease

2020 ◽  
pp. 204748732090464 ◽  
Author(s):  
Masanobu Ishii ◽  
Tomotsugu Seki ◽  
Koichi Kaikita ◽  
Kenji Sakamoto ◽  
Michikazu Nakai ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Coronary Artery Disease ◽  
Acute Myocardial Infarction ◽  
Air Pollution ◽  
Coronary Artery ◽  
Coronary Arteries ◽  
Odds Ratio ◽  
Short Term ◽  
Short Term Exposure ◽  
Artery Disease

Background Air pollution including particulate matter with an aerodynamic diameter ≤2.5 µm (PM2.5) increases the risk of acute myocardial infarction. However, whether short-term exposure to PM2.5 triggers the onset of myocardial infarction with nonobstructive coronary arteries, compared with myocardial infarction with coronary artery disease, has not been elucidated. This study aimed to estimate the association between short-term exposure to PM2.5 and admission for acute myocardial infarction, myocardial infarction with coronary artery disease, and myocardial infarction with nonobstructive coronary arteries. Design This was a time-stratified case-crossover study and multicenter validation study. Methods This study used a nationwide administrative database in Japan between April 2012–March 2016. Of 137,678 acute myocardial infarction cases, 123,633 myocardial infarction with coronary artery disease and 14,045 myocardial infarction with nonobstructive coronary arteries were identified by a validated algorithm combined with International Classification of Disease (10th revision), diagnostic, and procedure codes. Air pollutants and meteorological data were obtained from the monitoring station nearest to the admitting hospital. Results In spring (March–May), the short-term increase of 10 µg/m3 in PM2.5 2 days before admission was significantly associated with admission for acute myocardial infarction, myocardial infarction with nonobstructive coronary arteries, and myocardial infarction with coronary artery disease after adjustment for meteorological variables (odds ratio 1.060, 95% confidence interval 1.038–1.082; odds ratio 1.151, 1.079–1.227; odds ratio 1.049, 1.026–1.073, respectively), while the association was not significant in other variables. These associations were also observed after adjustment for other co-pollutants. The risk for myocardial infarction with nonobstructive coronary arteries (vs myocardial infarction with coronary artery disease) was associated with an even lower concentration of PM2.5 under the current environmental standards. Conclusions This study showed the seasonal difference of acute myocardial infarction risk attributable to PM2.5 and the difference in the threshold of triggering the onset of acute myocardial infarction subtype.

Short-term exposure to ambient air pollution and acute myocardial infarction attack risk

2019 ◽  
Vol 28 (4) ◽  
pp. 367-374 ◽  
Author(s):  
Murui Zheng ◽  
Yanhong Zhang ◽  
Wenru Feng ◽  
Yuliang Chen ◽  
Lin Huan ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Air Pollution ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Short Term ◽  
Short Term Exposure

Effects of Short-Term Exposure to Ambient Air Pollution on Hospital Admissions for Acute Myocardial Infarction in Bangkok, Thailand

2018 ◽  
Vol 2017 (1) ◽  
pp. 208
Author(s):  
Arthit Phosri ◽  
Kayo Ueda ◽  
Vera Ling Hui Phung ◽  
Shusuke Yasukouchi ◽  
Taichi Sugiyama ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Air Pollution ◽  
Hospital Admissions ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Short Term ◽  
Short Term Exposure

Short-Term Exposure to Air Pollution and Incidence of Stroke and Acute Myocardial Infarction in a Japanese Population

2012 ◽  
Vol 38 (2) ◽  
pp. 84-92 ◽  
Author(s):  
Tanvir Chowdhury Turin ◽  
Yoshikuni Kita ◽  
Nahid Rumana ◽  
Yasuyuki Nakamura ◽  
Kayo Ueda ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Air Pollution ◽  
Japanese Population ◽  
Short Term ◽  
Short Term Exposure

scholarly journals The effects of hourly differences in air pollution on the risk of myocardial infarction: case crossover analysis of the MINAP database

BMJ ◽  
2011 ◽  
Vol 343 (sep20 1) ◽  
pp. d5531-d5531 ◽  
Author(s):  
K. Bhaskaran ◽  
S. Hajat ◽  
B. Armstrong ◽  
A. Haines ◽  
E. Herrett ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Air Pollution ◽  
Case Crossover ◽  
Crossover Analysis

scholarly journals Short-Term Exposure to Ambient Air Pollution and Mortality From Myocardial Infarction

2021 ◽  
Vol 77 (3) ◽  
pp. 271-281 ◽  
Author(s):  
Yuewei Liu ◽  
Jingju Pan ◽  
Chuangang Fan ◽  
Ruijun Xu ◽  
Yaqi Wang ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Air Pollution ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Short Term ◽  
Short Term Exposure

scholarly journals Effect of Short-Term Exposure to Fine Particulate Matter and Temperature on Acute Myocardial Infarction in Korea

2021 ◽  
Vol 18 (9) ◽  
pp. 4822
Author(s):  
Jiyoung Shin ◽  
Jongmin Oh ◽  
In Sook Kang ◽  
Eunhee Ha ◽  
Wook Bum Pyun
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Ambient Air ◽  
Cold Season ◽  
Short Term ◽  
Fine Particulate ◽  
Short Term Exposure ◽  
The Impact

Background/Aim: Previous studies have suggested that the short-term ambient air pollution and temperature are associated with myocardial infarction. In this study, we aimed to conduct a time-series analysis to assess the impact of fine particulate matter (PM2.5) and temperature on acute myocardial infarction (AMI) among adults over 20 years of age in Korea by using the data from the Korean National Health Information Database (KNHID). Methods: The daily data of 192,567 AMI cases in Seoul were collected from the nationwide, population-based KNHID from 2005 to 2014. The monitoring data of ambient PM2.5 from the Seoul Research Institute of Public Health and Environment were also collected. A generalized additive model (GAM) that allowed for a quasi-Poisson distribution was used to analyze the effects of PM2.5 and temperature on the incidence of AMI. Results: The models with PM2.5 lag structures of lag 0 and 2-day averages of lag 0 and 1 (lag 01) showed significant associations with AMI (Relative risk [RR]: 1.011, CI: 1.003–1.020 for lag 0, RR: 1.010, CI: 1.000–1.020 for lag 01) after adjusting the covariates. Stratification analysis conducted in the cold season (October–April) and the warm season (May–September) showed a significant lag 0 effect for AMI cases in the cold season only. Conclusions: In conclusion, acute exposure to PM2.5 was significantly associated with AMI morbidity at lag 0 in Seoul, Korea. This increased risk was also observed at low temperatures.

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