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Time Distribution of the Onset of Chest Pain in Subjects with Acute ST-Elevation Myocardial Infarction: An Eight-Year, Single-Center Study in China

OBJECTIVE: The objective of this study was to explore the time distribution patterns of the onset of chest pain in subjects with acute ST-elevation myocardial infarction in a Chinese population. METHODS: A total of 1467 patients with acute ST-elevation myocardial infarction were enrolled from 2003 t...

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Detalles Bibliográficos
Autores principales: Jia, En-Zhi, Xu, Zhen-Xia, Cai, Hong-Zhou, Guo, Chang–Yan, Li, Li, Zhu, Tie-Bing, Wang, Lian-Sheng, Cao, Ke-Jiang, Ma, Wen-Zhu, Yang, Zhi-Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3299668/
https://www.ncbi.nlm.nih.gov/pubmed/22427844
http://dx.doi.org/10.1371/journal.pone.0032478
Descripción
Sumario:OBJECTIVE: The objective of this study was to explore the time distribution patterns of the onset of chest pain in subjects with acute ST-elevation myocardial infarction in a Chinese population. METHODS: A total of 1467 patients with acute ST-elevation myocardial infarction were enrolled from 2003 to 2010. The hourly, daily, monthly, seasonal and day-of-week fluctuations in the prevalence of acute ST-elevation myocardial infarction were analyzed. RESULTS: A peak was found between the morning hours of 07:31 and 08:30. A second peak was observed between 14:31 and 15:30, and a third peak was found between 23:31 and 00:30 (p<0.001). The monthly maximum was recorded in November and the minimum was in April (p<0.001). The number of daily cases was greatest in autumn and lowest in the spring (p = 0.001). Day-of-the-week variations of ST-elevation acute myocardial infarction were not found, except in patients more than 75-years-old. CONCLUSIONS: Periodic variations in the frequency of ST-elevation acute myocardial infarction in Chinese patients showed significant differences with regard to diurnal, monthly and seasonal patterns. The exact mechanisms underlying these circadian variations require further study.