Haarmann Helge, Hasan Besir, Soubh Nibras, Rasenack Eva, Schlögl Simon, Zabel Markus, Bergau Leonard
Clinic for Cardiology and Pneumology, University Medical Center Göttingen, Göttingen, Germany.
Future Cardiol. 2025 Apr;21(5):265-268. doi: 10.1080/14796678.2025.2476313. Epub 2025 Mar 9.
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.
心脏神经消融术是复发性血管迷走性晕厥(VVS)患者的一种治疗选择。可通过解剖定位以及对碎裂电图信号进行心内标测来识别左右心房壁附近的副交感神经节丛(GP)及其远端心内膜输入作为消融靶点。在这位患有复发性VVS的22岁患者成功进行心脏神经消融术的病例中,一种用于自动标测碎裂信号的新算法(CARTO Elevate模块,Biosense Webster公司)被用于识别GP区域。在这首次经验中,碎裂信号的自动标记与解剖学引导的消融点匹配良好。这种自动识别碎裂信号的新工具可能会促进并改善心脏神经消融术的操作。