About
Migraine is a severe headache disorder that significantly affects quality of life, particularly in women under 50 years old. It is one of the leading causes of disability due to the high number of years lived with disability. Previous studies have shown that migraines, especially those with aura, are associated with an increased risk of cardiovascular diseases. However, the relationship between migraines and cardiac arrhythmias, such as atrial fibrillation, bradyarrhythmias, and ventricular arrhythmias, is not well understood.
Our study aims to investigate whether individuals with migraines are at a higher risk of developing cardiac arrhythmias compared to those without migraines. We will also examine if genetic susceptibility and commonly used migraine medications influence this risk. Participants will be classified as having migraine based on a clinical diagnosis or self-reporting of migraine. Those with pre-existing cardiovascular diseases at baseline or insufficient data on key covariates will be excluded from the study.
To analyze the data, we will calculate the cumulative incidence of cardiac arrhythmias using the Kaplan-Meier method and compare differences between individuals with and without migraines using the log-rank test. Cox proportional hazards regression models will be used to assess the association between migraines and the risk of cardiac arrhythmias. Sensitivity analyses, including excluding participants with relevant comorbidities and using propensity score matching, will be conducted to ensure the robustness of our findings.
Additionally, we will calculate polygenic risk scores for cardiac arrhythmias to evaluate the role of genetic susceptibility in the migraine-arrhythmia relationship. We will also perform a summary data-based Mendelian randomization analysis to explore the effect of migraine medications on the risk of cardiac arrhythmias.
The project will last for approximately three years. The results of this research could lead to improved screening and management strategies for cardiac arrhythmias in individuals with migraines, ultimately reducing morbidity and healthcare costs, and improving public health outcomes.