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Digital PCR for Quantifying Circulating MicroRNAs in Acute Myocardial Infarction and Cardiovascular Disease
Published on: July 3, 2018
[Cardiovascular risk factors in the circadian rhythm of acute myocardial infarction]
Juan B López Messa1, José R Garmendia Leiza, María D Aguilar García
1Unidad de Cuidados Intensivos, Hospital Río Carrión, Palencia, Spain. jlomessa@telefonica.net
Insights
Acute myocardial infarction onset follows a daily pattern, peaking in the late morning. Cardiovascular risk factors like diabetes, smoking, and reinfarction alter this natural circadian rhythm.
Area of Science:
- Cardiology
- Chronobiology
- Public Health
Background:
- Acute myocardial infarction (AMI) exhibits temporal patterns.
- Understanding the circadian rhythm of AMI is crucial for risk stratification and management.
Purpose of the Study:
- To investigate the influence of modifiable cardiovascular risk factors on the circadian rhythm of AMI onset.
- To analyze the temporal patterns of AMI symptom onset in a large patient cohort.
Main Methods:
- Retrospective analysis of 54,249 patients from the Spanish ARIAM study.
- Cosinor analysis with three sinusoids (24, 12, and 8 hours) to assess circadian rhythm.
- Examination of variables including age, sex, hypertension, diabetes, smoking, and reinfarction.
Main Results:
- AMI symptom onset demonstrated a significant circadian rhythm (P< .01), with a peak at 10:07 am and a trough at 4:46 am.
- All analyzed subgroups showed a circadian rhythm.
- Patients with diabetes, reinfarction, or smoking history exhibited a bimodal sinusoid curve, indicating altered rhythm.
Conclusions:
- The time of symptom onset in acute myocardial infarction patients follows a distinct circadian rhythm.
- Modifiable risk factors such as diabetes, smoking, and prior reinfarction significantly modify the standard circadian rhythm of AMI onset.
Introduction And Objectives:
The aim of this study was to analyze the influence of modifiable cardiovascular risk factors on the circadian rhythm of acute myocardial infarction.
Patients And Method:
We analyzed a retrospective cohort of 54,249 patients from a multicenter study of acute myocardial infarction (the Spanish ARIAM study). The variables were time of onset of symptoms, age, sex, previous ischemic heart disease, coronary unit discharge status, previous stroke, familial antecedents of ischemic heart disease, hypertension, diabetes, dyslipidemia, smoking, and reinfarction. To verify the presence of circadian rhythm, we developed a simple test of equality of time series based on cosinor analysis of multiple sinusoid curves. Three sinusoids (24, 12 and 8 hour periods) were used.
Results:
The time of onset of pain showed a circadian rhythm (P< .01), with a peak at 10:07 am and a trough at 4:46 am. All subgroups categorized according to the presence of the variables analyzed here showed a circadian rhythm, with a sinusoid curve after adjustment. In patients with diabetes or reinfarction or who were smokers, the sinusoid curve was bimodal.
Conclusions:
Time of onset of symptoms in patients with acute myocardial infarction follows a circadian rhythm. Diabetes, smoking and reinfarction can modify the standard circadian rhythm of onset of myocardial infarction.
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