Electrocardiographic predictors of atrial fibrillation in patients with cryptogenic stroke

Area of Science:

• Cardiology
• Neurology
• Medical Diagnostics

Background:

• Cryptogenic stroke patients without diagnosed atrial fibrillation (AF) often do not receive anticoagulation.
• Identifying individuals at high risk for AF in this population is crucial for stroke prevention.
• Implantable cardiac monitors (ICMs) are used to detect occult arrhythmias like AF.

Purpose of the Study:

• To identify electrocardiogram (ECG) predictors of AF in patients diagnosed with cryptogenic stroke or transient ischemic attack (TIA).
• To evaluate the utility of p-wave duration and a novel MVP score in predicting AF.
• To assess the association between ECG findings and AF detection via ICM.

Main Methods:

• A single-center study involving 48 patients with cryptogenic stroke or TIA who received an ICM.
• Comparison of ECG parameters, including p-wave duration and MVP score, between patients with and without detected AF.
• Analysis of follow-up data for AF detection over a mean period of 16 months.

Main Results:

• AF was detected in 15% of patients during follow-up, with diagnosis occurring at a mean of 10 months post-ICM implantation.
• Patients with AF exhibited significantly longer p-wave duration (136 ms vs. 116 ms) and higher MVP scores (4.5 vs. 2.0) compared to those without AF.
• Advanced interatrial block (IAB) was present in 43% of patients with AF, but in none of the patients without AF (p = .002).

Conclusions:

• Increased p-wave duration, advanced IAB, and a high MVP score are significant predictors of AF in cryptogenic stroke patients.
• These ECG markers can help identify patients who may benefit from more intensive and prolonged cardiac monitoring.
• Early identification of AF through these predictors can potentially guide therapeutic strategies and improve stroke outcomes.