Patients with migraine with aura (MwA) have significantly higher artificial intelligence-enabled ECG (AI-ECG) atrial fibrillation (AF) prediction model output, according to a study published in Headache. Chia-Chun Chiang, MD, and colleagues compared AI-ECG AF prediction model output in adults with MwA or migraine without aura (MwoA) and at least one ECG with normal sinus rhythm in 40,002 patients (17,840 with MwA and 22,162 with MwoA). Compared with the MwoA group, the MwA group had significantly higher AF prediction model output (mean, 7.3% vs 5.6%). This difference remained significant after adjustment for vascular comorbidities in the overall group and among those aged 18-34 and 35-54; all women; all men; women aged 35-54; and men aged 18-34. “Our results suggest MwA is an independent risk factor for AF, especially in patients younger than 55, and that AFmediated cardioembolism may play an important role in the migraine-stroke association,” Dr. Chiang and colleagues wrote.
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