Ambient particulate matter and in-hospital case fatality of acute myocardial infarction: A multi-province cross-sectional study in China
The acute myocardial infarction (AMI) outcomes have been extensively linked with ambient particulate matter (PM). However, whether a smaller particle has greater impact and the consequent attributable burden associated with PM of different sizes remain unclear. We conducted a multi-province cross-se...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
|
| Series: | Ecotoxicology and Environmental Safety |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0147651323012356 |
| _version_ | 1797435812317495296 |
|---|---|
| author | Xiaojun Lin Miao Cai Kun Tan Echu Liu Xiuli Wang Chao Song Jing Wei Hualiang Lin Jay Pan |
| author_facet | Xiaojun Lin Miao Cai Kun Tan Echu Liu Xiuli Wang Chao Song Jing Wei Hualiang Lin Jay Pan |
| author_sort | Xiaojun Lin |
| collection | DOAJ |
| description | The acute myocardial infarction (AMI) outcomes have been extensively linked with ambient particulate matter (PM). However, whether a smaller particle has greater impact and the consequent attributable burden associated with PM of different sizes remain unclear. We conducted a multi-province cross-sectional study among AMI patients using the inpatient discharge datasets from four Chinese provinces (Shanxi, Sichuan, Guangxi, and Guangdong) from 2014 to 2019. Ambient PM exposure for each patient was assessed using the ChinaHighAirPollutants dataset. We employed the mixed-effects logistic regression models to evaluate the association of PM of different sizes (PM1, PM2.5, PM10) on in-hospital case fatality. The potential reducible fractions in in-hospital case fatality were estimated through counterfactual analyses. Of 177,749 participants, 125,501 (70.6 %) were male and the in-hospital case fatality rate was 4.9%. For short-term (7-day average) exposure, the odds ratios (ORs) for PM1, PM2.5, and PM10 (per 10 µg/m3) were 1.052 (95 % confidence interval [CI], 1.032–1.071), 1.026 (95 % CI, 1.014–1.037), and 1.016 (95% CI, 1.008–1.024), respectively. The estimated ORs for long-term exposure (annual average) were 1.303 (95 % CI, 1.252–1.356) for PM1, 1.209 (95 % CI, 1.178–1.241) for PM2.5, 1.157 (95 % CI, 1.134–1.181) for PM10. Short-term exposure to PM1 showed the highest potential reducible fraction (8.5 %, 95 % CI, 5.0–11.7 %), followed by PM2.5 and PM10, while the greatest potential reducible fraction of long-term exposure was observed in PM10 (30.9 %, 95 % CI, 27.2–34.4%), followed by PM2.5 and PM1. In summary, PM with smaller size had a more pronounced impact on in-hospital AMI case fatality, with PM1 exhibiting greater effects than PM2.5 and PM10. Substantial health benefits for AMI patients could be achieved by mitigating ambient PM exposure. |
| first_indexed | 2024-03-09T10:53:32Z |
| format | Article |
| id | doaj.art-9bc72363244d41feae73d2271b6ce19c |
| institution | Directory Open Access Journal |
| issn | 0147-6513 |
| language | English |
| last_indexed | 2024-03-09T10:53:32Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecotoxicology and Environmental Safety |
| spelling | doaj.art-9bc72363244d41feae73d2271b6ce19c2023-12-01T05:00:37ZengElsevierEcotoxicology and Environmental Safety0147-65132023-12-01268115731Ambient particulate matter and in-hospital case fatality of acute myocardial infarction: A multi-province cross-sectional study in ChinaXiaojun Lin0Miao Cai1Kun Tan2Echu Liu3Xiuli Wang4Chao Song5Jing Wei6Hualiang Lin7Jay Pan8HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Ren Min Nan Road, Chengdu, Sichuan 610041, China; Institute for Healthy Cities and West China Research Center for Rural Health Development, Sichuan University, No. 16, Section 3, Ren Min Nan Road, Chengdu, Sichuan 610041, China; West China-PUMC C.C. Chen Institute of Health, Sichuan University, No. 16, Section 3, Ren Min Nan Road, Chengdu, Sichuan 610041, ChinaDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, No. 74, Zhongshan 2nd road, Yuexiu District, Guangzhou, Guangdong 510080, ChinaHealth Information Center of Sichuan Province, No. 39, Wangjiaguai Street, Chengdu, Sichuan 610041, ChinaDepartment of Health Management and Policy, College for Public Health and Social Justice, Saint Louis University, St. Louis, MO 63103, USAHEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Ren Min Nan Road, Chengdu, Sichuan 610041, China; Institute for Healthy Cities and West China Research Center for Rural Health Development, Sichuan University, No. 16, Section 3, Ren Min Nan Road, Chengdu, Sichuan 610041, China; West China-PUMC C.C. Chen Institute of Health, Sichuan University, No. 16, Section 3, Ren Min Nan Road, Chengdu, Sichuan 610041, ChinaHEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Ren Min Nan Road, Chengdu, Sichuan 610041, China; Institute for Healthy Cities and West China Research Center for Rural Health Development, Sichuan University, No. 16, Section 3, Ren Min Nan Road, Chengdu, Sichuan 610041, China; West China-PUMC C.C. Chen Institute of Health, Sichuan University, No. 16, Section 3, Ren Min Nan Road, Chengdu, Sichuan 610041, ChinaDepartment of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA; Corresponding author.Department of Epidemiology, School of Public Health, Sun Yat-sen University, No. 74, Zhongshan 2nd road, Yuexiu District, Guangzhou, Guangdong 510080, China; Corresponding author.HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Ren Min Nan Road, Chengdu, Sichuan 610041, China; West China-PUMC C.C. Chen Institute of Health, Sichuan University, No. 16, Section 3, Ren Min Nan Road, Chengdu, Sichuan 610041, China; China Center for South Asian Studies, Sichuan University, No.24 South Section I, Yihuan Road, Chengdu, Sichuan 610065, China; Correspondence to: West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China.The acute myocardial infarction (AMI) outcomes have been extensively linked with ambient particulate matter (PM). However, whether a smaller particle has greater impact and the consequent attributable burden associated with PM of different sizes remain unclear. We conducted a multi-province cross-sectional study among AMI patients using the inpatient discharge datasets from four Chinese provinces (Shanxi, Sichuan, Guangxi, and Guangdong) from 2014 to 2019. Ambient PM exposure for each patient was assessed using the ChinaHighAirPollutants dataset. We employed the mixed-effects logistic regression models to evaluate the association of PM of different sizes (PM1, PM2.5, PM10) on in-hospital case fatality. The potential reducible fractions in in-hospital case fatality were estimated through counterfactual analyses. Of 177,749 participants, 125,501 (70.6 %) were male and the in-hospital case fatality rate was 4.9%. For short-term (7-day average) exposure, the odds ratios (ORs) for PM1, PM2.5, and PM10 (per 10 µg/m3) were 1.052 (95 % confidence interval [CI], 1.032–1.071), 1.026 (95 % CI, 1.014–1.037), and 1.016 (95% CI, 1.008–1.024), respectively. The estimated ORs for long-term exposure (annual average) were 1.303 (95 % CI, 1.252–1.356) for PM1, 1.209 (95 % CI, 1.178–1.241) for PM2.5, 1.157 (95 % CI, 1.134–1.181) for PM10. Short-term exposure to PM1 showed the highest potential reducible fraction (8.5 %, 95 % CI, 5.0–11.7 %), followed by PM2.5 and PM10, while the greatest potential reducible fraction of long-term exposure was observed in PM10 (30.9 %, 95 % CI, 27.2–34.4%), followed by PM2.5 and PM1. In summary, PM with smaller size had a more pronounced impact on in-hospital AMI case fatality, with PM1 exhibiting greater effects than PM2.5 and PM10. Substantial health benefits for AMI patients could be achieved by mitigating ambient PM exposure.http://www.sciencedirect.com/science/article/pii/S0147651323012356Air pollutionParticulate matterAcute myocardial infarctionCase fatalityChina |
| spellingShingle | Xiaojun Lin Miao Cai Kun Tan Echu Liu Xiuli Wang Chao Song Jing Wei Hualiang Lin Jay Pan Ambient particulate matter and in-hospital case fatality of acute myocardial infarction: A multi-province cross-sectional study in China Ecotoxicology and Environmental Safety Air pollution Particulate matter Acute myocardial infarction Case fatality China |
| title | Ambient particulate matter and in-hospital case fatality of acute myocardial infarction: A multi-province cross-sectional study in China |
| title_full | Ambient particulate matter and in-hospital case fatality of acute myocardial infarction: A multi-province cross-sectional study in China |
| title_fullStr | Ambient particulate matter and in-hospital case fatality of acute myocardial infarction: A multi-province cross-sectional study in China |
| title_full_unstemmed | Ambient particulate matter and in-hospital case fatality of acute myocardial infarction: A multi-province cross-sectional study in China |
| title_short | Ambient particulate matter and in-hospital case fatality of acute myocardial infarction: A multi-province cross-sectional study in China |
| title_sort | ambient particulate matter and in hospital case fatality of acute myocardial infarction a multi province cross sectional study in china |
| topic | Air pollution Particulate matter Acute myocardial infarction Case fatality China |
| url | http://www.sciencedirect.com/science/article/pii/S0147651323012356 |
| work_keys_str_mv | AT xiaojunlin ambientparticulatematterandinhospitalcasefatalityofacutemyocardialinfarctionamultiprovincecrosssectionalstudyinchina AT miaocai ambientparticulatematterandinhospitalcasefatalityofacutemyocardialinfarctionamultiprovincecrosssectionalstudyinchina AT kuntan ambientparticulatematterandinhospitalcasefatalityofacutemyocardialinfarctionamultiprovincecrosssectionalstudyinchina AT echuliu ambientparticulatematterandinhospitalcasefatalityofacutemyocardialinfarctionamultiprovincecrosssectionalstudyinchina AT xiuliwang ambientparticulatematterandinhospitalcasefatalityofacutemyocardialinfarctionamultiprovincecrosssectionalstudyinchina AT chaosong ambientparticulatematterandinhospitalcasefatalityofacutemyocardialinfarctionamultiprovincecrosssectionalstudyinchina AT jingwei ambientparticulatematterandinhospitalcasefatalityofacutemyocardialinfarctionamultiprovincecrosssectionalstudyinchina AT hualianglin ambientparticulatematterandinhospitalcasefatalityofacutemyocardialinfarctionamultiprovincecrosssectionalstudyinchina AT jaypan ambientparticulatematterandinhospitalcasefatalityofacutemyocardialinfarctionamultiprovincecrosssectionalstudyinchina |