Literature DB >> 31151711

The Effects of Acute Atmospheric Pressure Changes on the Occurrence of ST-Elevation Myocardial Infarction: A Case-Crossover Study.

Yongzhe Hong1, Michelle M Graham2, Rhonda J Rosychuk3, Danielle Southern4, Michael Sean McMurtry5.   

Abstract

BACKGROUND: Few studies have explored the influence of short-term exposure to atmospheric pressure changes on the abrupt onset of ST-elevation myocardial infarction (STEMI). We sought to evaluate the association between acute atmospheric pressure changes and the occurrence of STEMI.
METHODS: We studied STEMI patients from the Alberta Provincial Project for Outcomes Assessment in Coronary Heart Disease (APPROACH) from March 1, 2002 to December 31, 2016 in a case-crossover study design. Each case was matched with control intervals according to the same day of week, month, and year. All STEMI patients were linked with the nearest weather station within a 40-km radius according to residential postal code. The effect of exposure to air pressure changes, rate of air pressure changes, acute air pressure increase, and acute air pressure decrease 1 day to 7 days earlier on the onset of STEMI were analyzed with conditional logistic regression. All models were adjusted with daily average temperature, relative humidity, and average levels of 5 air pollutants.
RESULTS: In 11,379 STEMI patients, positive associations with the onset of STEMI were only found at 7 days after exposure to acute air pressure decrease (odds ratio, 1.12; 95% confidence interval, 1.03-1.21), which was consistent in sensitivity and subgroup analyses. All the other models showed no evidence of statistically significant associations.
CONCLUSIONS: Acute air pressure decrease is associated with higher odds of a STEMI event 7 days after exposure. Weather advisories might be issued when atmospheric pressure decrease occurs.
Copyright © 2019 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 31151711     DOI: 10.1016/j.cjca.2019.02.015

Source DB:  PubMed          Journal:  Can J Cardiol        ISSN: 0828-282X            Impact factor:   5.223


  3 in total

1.  Machine Learning Analyzed Weather Conditions as an Effective Means in the Predicting of Acute Coronary Syndrome Prevalence.

Authors:  Aleksandra Wlodarczyk; Patrycja Molek; Bogdan Bochenek; Agnieszka Wypych; Jadwiga Nessler; Jaroslaw Zalewski
Journal:  Front Cardiovasc Med       Date:  2022-04-08

Review 2.  The Impact of Meteorological Factors and Air Pollutants on Acute Coronary Syndrome.

Authors:  Andreea-Alexandra Rus; Cristian Mornoş
Journal:  Curr Cardiol Rep       Date:  2022-08-06       Impact factor: 3.955

3.  Associations of apparent temperature with acute cardiac events and subtypes of acute coronary syndromes in Beijing, China.

Authors:  Zhi-Jie Zheng; Na Li; Junxiong Ma; Fangjing Liu; Yan Zhang; Pengkun Ma; Yinzi Jin
Journal:  Sci Rep       Date:  2021-07-27       Impact factor: 4.996

  3 in total

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