Key result
Advanced cardiac imaging accurately characterizes atrial fibrosis and structural changes in Bayes syndrome.
Bayes syndrome (advanced interatrial block) predicts atrial fibrillation, and advanced imaging modalities are crucial for detecting the underlying structural atrial fibrosis.
Advanced imaging may identify atrial fibrosis in Bayes syndrome; leaves open its clinical utility pending prospective validation.
Background: Interatrial block (IAB) is due to disruption in the Bachmann region (BR). According to whether interatrial electrical conduction is delayed or completely blocked through the BR, it can be classified as IAB of first, second or third degree. On the surface electrocardiogram, a P wave ≥ 120 ms (partial IAB) is observed or associated to the prolongation of the P wave with a biphasic (positive / negative) morphology in the inferior leads (advanced IAB). Bayes syndrome is defined as an advanced IAB associated with atrial arrhythmia, more specifically atrial fibrillation. Objective and Conclusion: The purpose of this review is to describe the latest evidence about an entity considered an anatomical and electrical substrate with its own name, which may be a predictor of supraventricular arrhythmia and cardioembolic cerebrovascular accidents, as well as the role of new imaging techniques, such as echocardiographic strain and cardiac magnetic resonance imaging, in characterizing atrial alterations associated with this syndrome and generally in the study of anatomy and atrial function.
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Hernández-Betancor et al. (2017) conducted a review in Bayes Syndrome (Interatrial Block). Imaging techniques (echocardiography, speckle-tracking, cardiac magnetic resonance) was evaluated. Imaging techniques such as speckle-tracking echocardiography and cardiac magnetic resonance accurately characterize atrial fibrosis and structural alterations associated with Bayes syndrome.
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