Key result
Bayés' syndrome is associated with higher risks of supraventricular arrhythmias and cardioembolic events.
Why the study?
Prediction and early detection of atrial fibrillation remain challenging, necessitating improved identification methods for AF risk to prevent cardioembolic events.
Prediction and early detection of atrial fibrillation (AF) remain a permanent challenge in everyday practice. Timely identification of an increased risk for AF episodes (which are frequently asymptomatic) is essential in the primary and secondary prevention of cardioembolic events. One of the noninvasive modalities of AF prediction is represented by the electrocardiographic P-wave analysis. This includes the study and diagnosis of interatrial conduction block (Bachmann`s bundle block). Bayés’ Syndrome (named after its first descriptor) denotes the association between interatrial conduction defect and supraventricular arrhythmias (mainly AF) predisposing to cardioembolic events. Our short review presents an update of the most important data concerning this syndrome: brief history, main ECG features, pathophysiological background and clinical implications.
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Murariu et al. (2020) conducted a review in Bayés' Syndrome. Interatrial conduction block was evaluated. Bayés' Syndrome, characterized by interatrial conduction block, is associated with supraventricular arrhythmias and an increased risk of cardioembolic events.
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