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Modeling of the relationship between the environmental air pollution, clinical risk factors, and hospital mortality due to myocardial infarction in Isfahan, Iran

BACKGROUND: This study aimed to determine the relationship between the environmental factor, clinical risk factors, and individual variables with mortality due to acute myocardial infarction (MI) in Isfahan. MATERIALS AND METHODS: This cross-sectional study was performed between April 2012 and March...

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Autores principales: Sadeghi, Mehraban, Ahmadi, Ali, Baradaran, Azar, Masoudipoor, Neda, Frouzandeh, Soleiman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4652309/
https://www.ncbi.nlm.nih.gov/pubmed/26664423
http://dx.doi.org/10.4103/1735-1995.168382
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author Sadeghi, Mehraban
Ahmadi, Ali
Baradaran, Azar
Masoudipoor, Neda
Frouzandeh, Soleiman
author_facet Sadeghi, Mehraban
Ahmadi, Ali
Baradaran, Azar
Masoudipoor, Neda
Frouzandeh, Soleiman
author_sort Sadeghi, Mehraban
collection PubMed
description BACKGROUND: This study aimed to determine the relationship between the environmental factor, clinical risk factors, and individual variables with mortality due to acute myocardial infarction (MI) in Isfahan. MATERIALS AND METHODS: This cross-sectional study was performed between April 2012 and March 2013. The data on the patients’ mortality due to MI in Isfahan were obtained from the MI National Registry. The international classification system (ICD10: I21-I22) was used to diagnose MI. The air quality indicators and environmental variables were used to measure the air pollution. Multilevel logistic regression in the Stata software was used to determine the factors associated with mortality in patients and odds ratios (ORs) were calculated. RESULTS: Six hundred eleven patients with MI were studied during 1-year. 444 (72.2%) patients were male and the rest were female. 4.7% of the patients died due to MI. The mean age at MI incidence was 62.2 ± 13 years. Of the air pollution parameters, PM(10) had the maximum mean concentration (49.113 ppm), followed by NO(X), NO, NO(2), CO, SO(2), and O(3). The adjusted OR of mortality was derived 2.07 (95% CI: 1.5-2.85) for right bundle branch block, 1.5 (95% CI: 1.3-1.7) for ST-segment elevation MI, 1.84 (95% CI: 1.13-3) for age, 1.06 (95% CI: 1.01-1.20) for CO, 1.1 (95% CI: 1.03-1.30) for O(3), and 1.04 (95% CI: 1.01-1.4) for SO(2), all of which were considered as the risk factors of mortality. However, OR of mortality was 0.79 for precipitation (95% CI: 0.74-0.84) and 0.52 for angioplasty (95% CI: 0.4-0.68) were considered as protective factors of mortality. The individual characteristics including age, history of MI in the immediate family, hypertension, and diabetes were significantly associated with mortality from MI. The indices of air pollution including SO(2), CO, O(3), and environmental factors such as the precipitation and temperature were the determinants of mortality in patients with MI. CONCLUSION: With regards to the factors associated with mortality from MI reported in this study, air pollution and environmental factors, in addition to the risk factors and predictive factors, should be particularly addressed to control the mortality from MI.
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spelling pubmed-46523092015-12-09 Modeling of the relationship between the environmental air pollution, clinical risk factors, and hospital mortality due to myocardial infarction in Isfahan, Iran Sadeghi, Mehraban Ahmadi, Ali Baradaran, Azar Masoudipoor, Neda Frouzandeh, Soleiman J Res Med Sci Original Article BACKGROUND: This study aimed to determine the relationship between the environmental factor, clinical risk factors, and individual variables with mortality due to acute myocardial infarction (MI) in Isfahan. MATERIALS AND METHODS: This cross-sectional study was performed between April 2012 and March 2013. The data on the patients’ mortality due to MI in Isfahan were obtained from the MI National Registry. The international classification system (ICD10: I21-I22) was used to diagnose MI. The air quality indicators and environmental variables were used to measure the air pollution. Multilevel logistic regression in the Stata software was used to determine the factors associated with mortality in patients and odds ratios (ORs) were calculated. RESULTS: Six hundred eleven patients with MI were studied during 1-year. 444 (72.2%) patients were male and the rest were female. 4.7% of the patients died due to MI. The mean age at MI incidence was 62.2 ± 13 years. Of the air pollution parameters, PM(10) had the maximum mean concentration (49.113 ppm), followed by NO(X), NO, NO(2), CO, SO(2), and O(3). The adjusted OR of mortality was derived 2.07 (95% CI: 1.5-2.85) for right bundle branch block, 1.5 (95% CI: 1.3-1.7) for ST-segment elevation MI, 1.84 (95% CI: 1.13-3) for age, 1.06 (95% CI: 1.01-1.20) for CO, 1.1 (95% CI: 1.03-1.30) for O(3), and 1.04 (95% CI: 1.01-1.4) for SO(2), all of which were considered as the risk factors of mortality. However, OR of mortality was 0.79 for precipitation (95% CI: 0.74-0.84) and 0.52 for angioplasty (95% CI: 0.4-0.68) were considered as protective factors of mortality. The individual characteristics including age, history of MI in the immediate family, hypertension, and diabetes were significantly associated with mortality from MI. The indices of air pollution including SO(2), CO, O(3), and environmental factors such as the precipitation and temperature were the determinants of mortality in patients with MI. CONCLUSION: With regards to the factors associated with mortality from MI reported in this study, air pollution and environmental factors, in addition to the risk factors and predictive factors, should be particularly addressed to control the mortality from MI. Medknow Publications & Media Pvt Ltd 2015-08 /pmc/articles/PMC4652309/ /pubmed/26664423 http://dx.doi.org/10.4103/1735-1995.168382 Text en Copyright: © 2015 Journal of Research in Medical Sciences http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Sadeghi, Mehraban
Ahmadi, Ali
Baradaran, Azar
Masoudipoor, Neda
Frouzandeh, Soleiman
Modeling of the relationship between the environmental air pollution, clinical risk factors, and hospital mortality due to myocardial infarction in Isfahan, Iran
title Modeling of the relationship between the environmental air pollution, clinical risk factors, and hospital mortality due to myocardial infarction in Isfahan, Iran
title_full Modeling of the relationship between the environmental air pollution, clinical risk factors, and hospital mortality due to myocardial infarction in Isfahan, Iran
title_fullStr Modeling of the relationship between the environmental air pollution, clinical risk factors, and hospital mortality due to myocardial infarction in Isfahan, Iran
title_full_unstemmed Modeling of the relationship between the environmental air pollution, clinical risk factors, and hospital mortality due to myocardial infarction in Isfahan, Iran
title_short Modeling of the relationship between the environmental air pollution, clinical risk factors, and hospital mortality due to myocardial infarction in Isfahan, Iran
title_sort modeling of the relationship between the environmental air pollution, clinical risk factors, and hospital mortality due to myocardial infarction in isfahan, iran
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4652309/
https://www.ncbi.nlm.nih.gov/pubmed/26664423
http://dx.doi.org/10.4103/1735-1995.168382
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