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



Sharif Nia H1 ; Gorgulu O2 ; Pahlevan Sharif S3 ; Froelicher ES4, 5 ; Haghdoost AA6 ; Golshani S7 ; Yaghoobzadeh A8 ; Noble JH9 ; Nazari R1 ; Goudarzian AH10 ; Arefinia F11
Authors

Source: Iranian Journal of Public Health Published:2020


Abstract

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). © 2020, Iranian Journal of Public Health. All rights reserved.
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