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Electrocardiogram prediction of atrial fibrillation risk after stroke: A protocol for systematic review and
1Medical Imaging Department II, Shaanxi Kangfu Hospital, Xi'an, Shaanxi Province, China.
Medicine
|April 12, 2024
Summary
Electrocardiogram (ECG) abnormalities can predict atrial fibrillation (AF) risk after stroke. Specific ECG patterns, like advanced interatrial block (alAB), significantly increase the likelihood of developing AF.
Area of Science:
- Cardiology
- Electrophysiology
- Stroke Medicine
Background:
- Atrial fibrillation (AF) is a prevalent clinical arrhythmia.
- Predicting post-stroke AF risk is crucial for patient management.
- Electrocardiographic (ECG) changes during sinus rhythm may offer predictive insights.
Purpose of the Study:
- To evaluate the association between specific ECG patterns in sinus rhythm and the risk of developing AF post-stroke.
- To identify ECG markers that can serve as screening tools for high-risk individuals.
Main Methods:
- A systematic literature search was conducted on MEDLINE (PubMed) and EMBASE up to August 2023.
- Data from relevant studies, including meta-analyses and systematic reviews, were screened and extracted.
- A random-effects meta-analysis was performed to synthesize the data on AF detection rates.
Main Results:
- 32 studies with 330,284 participants were analyzed.
- Individuals with abnormal ECGs had a significantly higher risk of developing AF (Risk Ratio = 2.45).
- Advanced interatrial block (alAB) showed the highest predictability (Risk Ratio = 4.12).
Conclusions:
- Specific ECG patterns are significantly correlated with AF occurrence.
- ECG findings, particularly alAB, can identify individuals at high risk for AF.
- These ECG markers can guide further investigations and treatment decisions, including anticoagulation therapy.
