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使用数字孪生评估纤维化基质的致心律失常倾向,以制定基于机制的心房颤动消融策略。

Assessing the arrhythmogenic propensity of fibrotic substrate using digital twins to inform a mechanisms-based atrial fibrillation ablation strategy.

作者信息

Sakata Kensuke, Bradley Ryan P, Prakosa Adityo, Yamamoto Carolyna A P, Ali Syed Yusuf, Loeffler Shane, Tice Brock M, Boyle Patrick M, Kholmovski Eugene G, Yadav Ritu, Sinha Sunil Kumar, Marine Joseph E, Calkins Hugh, Spragg David D, Trayanova Natalia A

机构信息

Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA.

Research Computing, Lehigh University, Bethlehem, PA, USA.

出版信息

Nat Cardiovasc Res. 2024 Jul;3(7):857-868. doi: 10.1038/s44161-024-00489-x. Epub 2024 Jun 18.

DOI:10.1038/s44161-024-00489-x
PMID:39157719
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11329066/
Abstract

Atrial fibrillation (AF), the most common heart rhythm disorder, may cause stroke and heart failure. For patients with persistent AF with fibrosis proliferation, the standard AF treatment-pulmonary vein isolation-has poor outcomes, necessitating redo procedures, owing to insufficient understanding of what constitutes good targets in fibrotic substrates. Here we present a prospective clinical and personalized digital twin study that characterizes the arrhythmogenic properties of persistent AF substrates and uncovers locations possessing rotor-attracting capabilities. Among these, a portion needs to be ablated to render the substrate not inducible for rotors, but the rest (37%) lose rotor-attracting capabilities when another location is ablated. Leveraging digital twin mechanistic insights, we suggest ablation targets that eliminate arrhythmia propensity with minimum lesions while also minimizing the risk of iatrogenic tachycardia and AF recurrence. Our findings provide further evidence regarding the appropriate substrate ablation targets in persistent AF, opening the door for effective strategies to mitigate patients' AF burden.

摘要

心房颤动(AF)是最常见的心律失常,可能导致中风和心力衰竭。对于伴有纤维化增殖的持续性AF患者,标准的AF治疗——肺静脉隔离——效果不佳,由于对纤维化基质中良好靶点的构成了解不足,需要进行再次手术。在此,我们开展了一项前瞻性临床和个性化数字孪生研究,该研究对持续性AF基质的致心律失常特性进行了表征,并揭示了具有吸引转子能力的部位。其中,一部分需要进行消融以使基质不再诱发转子,但其余部分(37%)在另一个部位消融后会失去吸引转子的能力。利用数字孪生的机制见解,我们提出了消融靶点,这些靶点能够以最少的损伤消除心律失常倾向,同时将医源性心动过速和AF复发的风险降至最低。我们的研究结果为持续性AF中合适的基质消融靶点提供了进一步证据,为减轻患者AF负担的有效策略打开了大门。

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