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Weather fluctuations: predictive factors in the prevalence of acute coronary syndrome

Background: Meteorological parameters and seasonal changes can play an important role in the occurrence of acute coronary syndrome (ACS). However, there is almost no evidence on a national level to suggest the associations between these variables and ACS in Iran. We aim to identify the meteorologica...

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Autores principales: Sharif Nia, Hamid, Chan, Yiong Huak, Froelicher, Erika Sivarajan, Pahlevan Sharif, Saeed, Yaghoobzadeh, Ameneh, Jafari, Azar, Goudarzian, Amir Hossein, Pourkia, Roghiyeh, Haghdoost, Ali Akbar, Arefinia, Farhad, Nazari, Roghieh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tabriz University of Medical Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6588813/
https://www.ncbi.nlm.nih.gov/pubmed/31249799
http://dx.doi.org/10.15171/hpp.2019.17
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author Sharif Nia, Hamid
Chan, Yiong Huak
Froelicher, Erika Sivarajan
Pahlevan Sharif, Saeed
Yaghoobzadeh, Ameneh
Jafari, Azar
Goudarzian, Amir Hossein
Pourkia, Roghiyeh
Haghdoost, Ali Akbar
Arefinia, Farhad
Nazari, Roghieh
author_facet Sharif Nia, Hamid
Chan, Yiong Huak
Froelicher, Erika Sivarajan
Pahlevan Sharif, Saeed
Yaghoobzadeh, Ameneh
Jafari, Azar
Goudarzian, Amir Hossein
Pourkia, Roghiyeh
Haghdoost, Ali Akbar
Arefinia, Farhad
Nazari, Roghieh
author_sort Sharif Nia, Hamid
collection PubMed
description Background: Meteorological parameters and seasonal changes can play an important role in the occurrence of acute coronary syndrome (ACS). However, there is almost no evidence on a national level to suggest the associations between these variables and ACS in Iran. We aim to identify the meteorological parameters and seasonal changes in relationship to ACS. Methods: This retrospective cross-sectional study was conducted between 03/19/2015 to 03/18/2016 and used documents and records of patients with ACS in Mazandaran ProvinceHeart Center, Iran. The following definitive diagnostic criteria for ACS were used: (1) existence of cardiac enzymes (CK or CK-MB) above the normal range; (2) Greater than 1 mm ST-segment elevation or depression; (3) abnormal Q waves; and (4) manifestation of troponin enzyme in the blood. Data were collected daily, such as temperature (Celsius) changes, wind speed and its direction, rainfall, daily evaporation rate; number of sunny days, and relative humidity were provided by the Meteorological Organization of Iran. Results: A sample of 2,054 patients with ACS were recruited. The results indicated the highest ACS events from March to May. Generally, wind speed (18 PM) [IRR = 1.051 (95% CI: 1.019 to1.083), P=0.001], daily evaporation [IRR = 1.039 (95% CI: 1.003 to 1.077), P=0.032], daily maximum (P<0.001) and minimum (P=0.003) relative humidity was positively correlated withACS events. Also, negatively correlated variables were daily relative humidity (18 PM) [IRR =0.985 (95% CI: 0.978 to 0.992), P<0.001], and daily minimum temperature [IRR = 0.942 (95%CI: 0.927 to 0.958), P<0.001]. Conclusion: Climate changes were found to be significantly associated with ACS; especially from cold weather to hot weather in March, April and May. Further research is needed to fully understand the specific conditions and cold exposures.
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spelling pubmed-65888132019-06-27 Weather fluctuations: predictive factors in the prevalence of acute coronary syndrome Sharif Nia, Hamid Chan, Yiong Huak Froelicher, Erika Sivarajan Pahlevan Sharif, Saeed Yaghoobzadeh, Ameneh Jafari, Azar Goudarzian, Amir Hossein Pourkia, Roghiyeh Haghdoost, Ali Akbar Arefinia, Farhad Nazari, Roghieh Health Promot Perspect Original Article Background: Meteorological parameters and seasonal changes can play an important role in the occurrence of acute coronary syndrome (ACS). However, there is almost no evidence on a national level to suggest the associations between these variables and ACS in Iran. We aim to identify the meteorological parameters and seasonal changes in relationship to ACS. Methods: This retrospective cross-sectional study was conducted between 03/19/2015 to 03/18/2016 and used documents and records of patients with ACS in Mazandaran ProvinceHeart Center, Iran. The following definitive diagnostic criteria for ACS were used: (1) existence of cardiac enzymes (CK or CK-MB) above the normal range; (2) Greater than 1 mm ST-segment elevation or depression; (3) abnormal Q waves; and (4) manifestation of troponin enzyme in the blood. Data were collected daily, such as temperature (Celsius) changes, wind speed and its direction, rainfall, daily evaporation rate; number of sunny days, and relative humidity were provided by the Meteorological Organization of Iran. Results: A sample of 2,054 patients with ACS were recruited. The results indicated the highest ACS events from March to May. Generally, wind speed (18 PM) [IRR = 1.051 (95% CI: 1.019 to1.083), P=0.001], daily evaporation [IRR = 1.039 (95% CI: 1.003 to 1.077), P=0.032], daily maximum (P<0.001) and minimum (P=0.003) relative humidity was positively correlated withACS events. Also, negatively correlated variables were daily relative humidity (18 PM) [IRR =0.985 (95% CI: 0.978 to 0.992), P<0.001], and daily minimum temperature [IRR = 0.942 (95%CI: 0.927 to 0.958), P<0.001]. Conclusion: Climate changes were found to be significantly associated with ACS; especially from cold weather to hot weather in March, April and May. Further research is needed to fully understand the specific conditions and cold exposures. Tabriz University of Medical Sciences 2019-05-25 /pmc/articles/PMC6588813/ /pubmed/31249799 http://dx.doi.org/10.15171/hpp.2019.17 Text en © 2019 The Author(s). http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Sharif Nia, Hamid
Chan, Yiong Huak
Froelicher, Erika Sivarajan
Pahlevan Sharif, Saeed
Yaghoobzadeh, Ameneh
Jafari, Azar
Goudarzian, Amir Hossein
Pourkia, Roghiyeh
Haghdoost, Ali Akbar
Arefinia, Farhad
Nazari, Roghieh
Weather fluctuations: predictive factors in the prevalence of acute coronary syndrome
title Weather fluctuations: predictive factors in the prevalence of acute coronary syndrome
title_full Weather fluctuations: predictive factors in the prevalence of acute coronary syndrome
title_fullStr Weather fluctuations: predictive factors in the prevalence of acute coronary syndrome
title_full_unstemmed Weather fluctuations: predictive factors in the prevalence of acute coronary syndrome
title_short Weather fluctuations: predictive factors in the prevalence of acute coronary syndrome
title_sort weather fluctuations: predictive factors in the prevalence of acute coronary syndrome
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6588813/
https://www.ncbi.nlm.nih.gov/pubmed/31249799
http://dx.doi.org/10.15171/hpp.2019.17
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