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Migraine with aura associates with a higher artificial intelligence: ECG atrial fibrillation prediction model output compared to migraine without aura in both women and men

Objective To compare the artificial intelligence‐enabled electrocardiogram (AI‐ECG) atrial fibrillation (AF) prediction model output in patients with migraine with aura (MwA) and migraine without aura (MwoA). Background MwA is associated with an approximately twofold risk of ischemic stroke. Longitu...

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Bibliographic Details
Published in:Headache 2022-09, Vol.62 (8), p.939-951
Main Authors: Chiang, Chia‐Chun, Chhabra, Nikita, Chao, Chieh‐Ju, Wang, Han, Zhang, Nan, Lim, Elisabeth, Baez‐Suarez, Abraham, Attia, Zachi I., Schwedt, Todd J., Dodick, David W., Cutrer, Fred M., Friedman, Paul A., Noseworthy, Peter A.
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Language:English
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Summary:Objective To compare the artificial intelligence‐enabled electrocardiogram (AI‐ECG) atrial fibrillation (AF) prediction model output in patients with migraine with aura (MwA) and migraine without aura (MwoA). Background MwA is associated with an approximately twofold risk of ischemic stroke. Longitudinal cohort studies showed that patients with MwA have a higher incidence of developing AF compared to those with MwoA. The Mayo Clinic Cardiology team developed an AI‐ECG algorithm that calculates the probability of concurrent paroxysmal or impending AF in ECGs with normal sinus rhythm (NSR). Methods Adult patients with an MwA or MwoA diagnosis and at least one NSR ECG within the past 20 years at Mayo Clinic were identified. Patients with an ECG‐confirmed diagnosis of AF were excluded. For each patient, the ECG with the highest AF prediction model output was used as the index ECG. Comparisons between MwA and MwoA were conducted in the overall group (including men and women of all ages), women only, and men only in each age range (18 to
ISSN:0017-8748
1526-4610
DOI:10.1111/head.14339