Key result
Automatic mapping of fragmented signals via CARTO Elevate identifies ganglionated plexi matching anatomical ablation points.
Why the study?
Does automatic mapping of fragmented signals improve identification of ganglionated plexi during cardioneuroablation in patients with recurrent vasovagal syncope?
Case Report (n=1)
Does automatic mapping of fragmented signals improve identification of ganglionated plexi during cardioneuroablation in patients with recurrent vasovagal syncope?
The use of a new algorithm for automatic identification of fragmented signals may facilitate and improve cardioneuroablation procedures for vasovagal syncope.
May facilitate cardioneuroablation for vasovagal syncope; hypothesis-generating and requires prospective validation.
Cardioneuroablation is a treatment option for patients with recurrent vasovagal syncope (VVS). Ablation targets of parasympathetic ganglionated plexi (GP) adjacent to the right and left atrial walls and distal endocardial inputs of these GP can be identified both by their anatomical localization and by intracardiac mapping of fragmented electrogram signals. In this case of a successful cardioneuroablation of a 22-year-old patient suffering from recurrent VVS, a new algorithm for automatic mapping of fragmented signals (CARTO Elevate Module, Biosense Webster) was used to identify areas of GP. In this first experience, automatic tags of fragmented signals were matching well with anatomically guided ablation points. This new tool for automatic identification of fragmented signals may facilitate and improve cardioneuroablation procedures.
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Haarmann et al. (2025) conducted a case report in recurrent vasovagal syncope (VVS) (n=1). CARTO Elevate Module for automatic mapping of fragmented signals was evaluated on Matching of automatic tags of fragmented signals with anatomically guided ablation points. Automatic mapping of fragmented signals using the CARTO Elevate Module successfully identified areas of ganglionated plexi, matching well with anatomically guided ablation points.
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