Circadian variation of acute myocardial infarction in young people

Chia-Meng Chan1, Wei-Lung Chen, Hung-Yi Kuo

  • 1Department of Emergency Medicine, Cathay General Hospital, Taipei 106, Taiwan.

Insights

Young patients with acute myocardial infarction (AMI) show a significant circadian variation, peaking between 00:01 and 06:00. No weekly variation was observed, suggesting potential for targeted prevention and treatment strategies.

Area of Science:

  • Cardiology
  • Circadian Biology
  • Epidemiology

Background:

  • Acute myocardial infarction (AMI) affects young individuals, with temporal patterns potentially influencing outcomes.
  • Understanding circadian and weekly variations in AMI onset is crucial for preventative strategies.

Purpose of the Study:

  • To investigate the circadian and weekly variation in the occurrence of first-time acute myocardial infarction (AMI) among young Chinese patients.
  • To identify specific time intervals with a higher incidence of AMI in this demographic.

Main Methods:

  • A 10-year retrospective cohort study analyzed data from 505 young patients (<45 years) with a first AMI diagnosis.
  • Patients were grouped into 6-hour intervals across a 24-hour cycle (00:01-06:00, 06:01-12:00, 12:01-18:00, 18:01-24:00).
  • Statistical analysis was performed to assess circadian and weekly patterns of AMI occurrence.

Main Results:

  • A significant circadian variation in AMI incidence was observed, with a peak occurring between 00:01 and 06:00 (30.9% of cases).
  • The incidence during 00:01-06:00 was significantly higher compared to other 6-hour intervals (P < .001).
  • No statistically significant weekly variation in AMI occurrence was found.

Conclusions:

  • Young Chinese patients experiencing AMI exhibit a distinct circadian rhythm, with a pronounced peak in the early morning hours.
  • The absence of significant weekly variation suggests that daily biological rhythms are more influential than weekly cycles for AMI onset in this group.
  • Identified circadian patterns may inform novel approaches to disease prevention and optimize medication timing for young AMI patients.
Abstract

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