Mekhael Mario, Feng Han, Younes Hadi, Chouman Nour, Assaf Ala, Lim Chanho, Huang Chao, Donnellan Eoin, Rao Swati, Marrouche Nassir, Kreidieh Omar
Department of Cardiology-Cardiac Electrophysiology, Tulane Research and Innovation for Arrhythmia Discoveries-TRIAD Center, Tulane University School of Medicine, New Orleans, Louisiana, USA.
J Cardiovasc Electrophysiol. 2024 Dec;35(12):2414-2422. doi: 10.1111/jce.16438. Epub 2024 Oct 14.
The formation of transmural lesions is necessary for the ablation of persistent atrial fibrillation (prAF). Ablation index (AI) and generator impedance drop (ID) predict lesion size but their correlation with long-term outcomes in prAF is not known. Furthermore, we proposed a new parameter, efficacy ratio (ER) calculated as ID/AI, to gain indirect insight into the role of factors affecting ID but not considered by AI.
We included ablations performed during the DECAAF II trial if they had uploaded lesion-by-lesion summary data and were performed with radiofrequency catheters on the CARTO system. Average patient-level parameters were calculated from all generated Vizitags.
A total of 427 ablations met inclusion criteria and 166 utilized AI. Analyzed as continuous variables, ID and ER predicted long-term arrhythmia-free survival but not AI. The ideal cut-off for ID was ID ≥ 10.4 ohms and had a C-index of 0.55. It predicted reduced risk of arrhythmia: hazard ratio 0.56 [0.36-0.88], p = .013 (arrhythmia-free survival of 67% vs. 52%). Similarly, an ER of 1.7 ohms/100AI had a C-index of 0.58 and predicted reduced arrhythmia recurrence: HR 0.39 [0.22-0.69], p = .001. ER < 1.7 ohms/100AI was related to just 32% arrhythmia-free survival. ER improved prognostication as compared to ID alone and identified a subset of low ID patients with even worse outcomes.
Average ID was predictive of improved outcomes following ablation of prAF. The ratio of ID/AI (ER) was postulated as a measure to summarize the overall impact of factors not considered in the AI formula and provided improved prognostication.
透壁性损伤的形成对于持续性房颤(prAF)的消融至关重要。消融指数(AI)和发生器阻抗下降(ID)可预测损伤大小,但它们与prAF长期预后的相关性尚不清楚。此外,我们提出了一个新参数,即效能比(ER),计算方法为ID/AI,以间接了解影响ID但未被AI考虑的因素的作用。
如果在DECAAF II试验期间进行的消融上传了逐个损伤的汇总数据,并且是在CARTO系统上使用射频导管进行的,我们将其纳入研究。平均患者水平参数由所有生成的Vizitag计算得出。
共有427例消融符合纳入标准,166例使用了AI。作为连续变量分析,ID和ER可预测长期无心律失常生存,但AI不能。ID的理想截断值为ID≥10.4欧姆,C指数为0.55。它预测心律失常风险降低:风险比为0.56[0.36-0.88],p=0.013(无心律失常生存率分别为67%和52%)。同样,ER为1.7欧姆/100AI时,C指数为0.58,预测心律失常复发降低:HR为0.39[0.22-0.69],p=0.001。ER<1.7欧姆/100AI时,无心律失常生存率仅为32%。与单独的ID相比,ER改善了预后,并识别出一组ID较低但预后更差的患者。
平均ID可预测prAF消融后的预后改善。ID/AI比值(ER)被假定为一种衡量方法,用于总结AI公式中未考虑的因素的总体影响,并提供了更好的预后。