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

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
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DOI:
10.1111/head.14339
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发表时间:
2022-06-08
期刊:
影响因子:
5
通讯作者:
Noseworthy, Peter A.
Noseworthy, Peter A.
中科院分区:
医学3区
文献类型:
--
作者:
Chiang, Chia-Chun;Chhabra, Nikita;Noseworthy, Peter A.

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目的比较有先兆偏头痛(MWA)和无先兆偏头痛(MwoA)患者人工智能心电(AI-ECG)心房颤动(AF)预测模型的优劣。背景:MWA与大约两倍的缺血性卒中风险相关。纵向队列研究表明,与MwoA患者相比,MWA患者发生房颤的几率更高。梅奥临床心脏病学团队开发了一种人工智能-心电算法,该算法可以计算正常窦性心律(NSR)的ECG中并发阵发性或即将发生房颤的可能性。方法对梅奥诊所近20年来确诊为MWA或MwoA且至少有一次NSR心电异常的成人患者进行分析。排除了心电确诊为房颤的患者。对于每个患者,使用房颤预测模型输出最高的心电作为索引心电。MWA和MWoA之间的比较是在整个群体(包括所有年龄段的男性和女性)中进行的,仅限女性,仅限各年龄段的男性(18至
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