Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia encountered in clinical practice and is associated with increased risk of stroke, heart failure, and all-cause mortality. Early identification of individuals at risk is crucial for timely intervention and prevention of complications. Electrocardiography (ECG), being a widely available, non-invasive, and cost-effective tool, provides valuable markers that may predict the development of AF. Several ECG parameters such as P-wave duration, dispersion, morphology, and axis deviation, as well as PR interval variability, atrial premature complexes, and abnormalities in interatrial conduction, have been linked to AF risk. Understanding these electrocardiographic predictors not only enhances risk stratification but also contributes to improved patient management, surveillance strategies, and the design of preventive therapies.
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Ali et al. (2024) studied this question.
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