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Prevalence of Acute Myocardial Infarction and Changing Meteorological Conditions in Iran: Fuzzy Clustering Approach

BACKGROUND: The prevalence of Acute Myocardial Infarction (AMI) varies from region to region caused by seasonal climate changes and temperature variation. This study aimed to assess the relationship between changing meteorological conditions and incidence of AMI in Iran. METHODS: This retrospective...

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Autores principales: SHARIF NIA, Hamid, GORGULU, Ozkan, PAHLEVAN SHARIF, Saeed, FROELICHER, Erika Sivarajan, HAGHDOOST, Ali Akbar, GOLSHANI, Samad, YAGHOOBZADEH, Ameneh, NOBLE, John Henry, NAZARI, Roghieh, GOUDARZIAN, Amir Hossein, AREFINIA, Farhad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475622/
https://www.ncbi.nlm.nih.gov/pubmed/32953680
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author SHARIF NIA, Hamid
GORGULU, Ozkan
PAHLEVAN SHARIF, Saeed
FROELICHER, Erika Sivarajan
HAGHDOOST, Ali Akbar
GOLSHANI, Samad
YAGHOOBZADEH, Ameneh
NOBLE, John Henry
NAZARI, Roghieh
GOUDARZIAN, Amir Hossein
AREFINIA, Farhad
author_facet SHARIF NIA, Hamid
GORGULU, Ozkan
PAHLEVAN SHARIF, Saeed
FROELICHER, Erika Sivarajan
HAGHDOOST, Ali Akbar
GOLSHANI, Samad
YAGHOOBZADEH, Ameneh
NOBLE, John Henry
NAZARI, Roghieh
GOUDARZIAN, Amir Hossein
AREFINIA, Farhad
author_sort SHARIF NIA, Hamid
collection PubMed
description BACKGROUND: The prevalence of Acute Myocardial Infarction (AMI) varies from region to region caused by seasonal climate changes and temperature variation. This study aimed to assess the relationship between changing meteorological conditions and incidence of AMI in Iran. METHODS: This retrospective prevalence study was based on medical records of the heart center of Mazandaran Province on all patients diagnosed with AMI in Mazandaran, northern Iran between 2013 and 2015. Patients’ sex and the day, month, year and time of hospital admission were extracted from patients’ records. Moreover, the meteorological reports were gathered. RESULTS: A statistically significant difference was found between the distributions of AMI cases across 12 months of the year (P < 0.01). Fuzzy clustering analysis using 16 different climatic variables showed that March, April, and May were in the same cluster together. The other 9 months were in different clusters. CONCLUSION: Significant increase in AMI was seen in March, April and May (cold to hot weather).
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spelling pubmed-74756222020-09-18 Prevalence of Acute Myocardial Infarction and Changing Meteorological Conditions in Iran: Fuzzy Clustering Approach SHARIF NIA, Hamid GORGULU, Ozkan PAHLEVAN SHARIF, Saeed FROELICHER, Erika Sivarajan HAGHDOOST, Ali Akbar GOLSHANI, Samad YAGHOOBZADEH, Ameneh NOBLE, John Henry NAZARI, Roghieh GOUDARZIAN, Amir Hossein AREFINIA, Farhad Iran J Public Health Original Article BACKGROUND: The prevalence of Acute Myocardial Infarction (AMI) varies from region to region caused by seasonal climate changes and temperature variation. This study aimed to assess the relationship between changing meteorological conditions and incidence of AMI in Iran. METHODS: This retrospective prevalence study was based on medical records of the heart center of Mazandaran Province on all patients diagnosed with AMI in Mazandaran, northern Iran between 2013 and 2015. Patients’ sex and the day, month, year and time of hospital admission were extracted from patients’ records. Moreover, the meteorological reports were gathered. RESULTS: A statistically significant difference was found between the distributions of AMI cases across 12 months of the year (P < 0.01). Fuzzy clustering analysis using 16 different climatic variables showed that March, April, and May were in the same cluster together. The other 9 months were in different clusters. CONCLUSION: Significant increase in AMI was seen in March, April and May (cold to hot weather). Tehran University of Medical Sciences 2020-05 /pmc/articles/PMC7475622/ /pubmed/32953680 Text en Copyright© Iranian Public Health Association & Tehran University of Medical Sciences http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
SHARIF NIA, Hamid
GORGULU, Ozkan
PAHLEVAN SHARIF, Saeed
FROELICHER, Erika Sivarajan
HAGHDOOST, Ali Akbar
GOLSHANI, Samad
YAGHOOBZADEH, Ameneh
NOBLE, John Henry
NAZARI, Roghieh
GOUDARZIAN, Amir Hossein
AREFINIA, Farhad
Prevalence of Acute Myocardial Infarction and Changing Meteorological Conditions in Iran: Fuzzy Clustering Approach
title Prevalence of Acute Myocardial Infarction and Changing Meteorological Conditions in Iran: Fuzzy Clustering Approach
title_full Prevalence of Acute Myocardial Infarction and Changing Meteorological Conditions in Iran: Fuzzy Clustering Approach
title_fullStr Prevalence of Acute Myocardial Infarction and Changing Meteorological Conditions in Iran: Fuzzy Clustering Approach
title_full_unstemmed Prevalence of Acute Myocardial Infarction and Changing Meteorological Conditions in Iran: Fuzzy Clustering Approach
title_short Prevalence of Acute Myocardial Infarction and Changing Meteorological Conditions in Iran: Fuzzy Clustering Approach
title_sort prevalence of acute myocardial infarction and changing meteorological conditions in iran: fuzzy clustering approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475622/
https://www.ncbi.nlm.nih.gov/pubmed/32953680
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