Suppr超能文献

一项通过自动标测算法识别心房颤动(AF)期间消融碎裂电位(CFEs)的前瞻性多中心评估:对AF的急性影响及作为辅助策略的疗效。

A prospective, multicenter evaluation of ablating complex fractionated electrograms (CFEs) during atrial fibrillation (AF) identified by an automated mapping algorithm: acute effects on AF and efficacy as an adjuvant strategy.

作者信息

Verma Atul, Novak Paul, Macle Laurent, Whaley Bonnie, Beardsall Marianne, Wulffhart Zaev, Khaykin Yaariv

机构信息

Southlake Regional Health Centre, Newmarket, Ontario, Canada.

出版信息

Heart Rhythm. 2008 Feb;5(2):198-205. doi: 10.1016/j.hrthm.2007.09.027. Epub 2007 Oct 3.

Abstract

BACKGROUND

Complex fractionated electrograms (CFEs) are continuous electrograms (EGMs) of very short cycle length (CL) representing substrate for atrial fibrillation (AF) perpetuation. Ablation of CFEs may result in AF slowing, termination, and prevention, but identifying them can be subjective.

OBJECTIVE

The purpose of this study was to prospectively assess (1) whether an automated algorithm can identify CFE regions, (2) the acute effects of ablating these regions on AF, and (3) the long-term efficacy as an adjuvant strategy to pulmonary vein antrum isolation (PVAI).

METHODS

Thirty-five patients (three centers, 61 +/- 9 years, left atrium [LA] 43 +/- 9 mm, ejection fraction 53% +/- 7%) with symptomatic paroxysmal (n = 21) or persistent (n = 14) AF were studied. A decapolar lasso (2-mm spacing) was used for mapping. A three-dimensional shell of the LA and pulmonary veins (PVs) was created. If not already in AF, AF was induced by burst pacing (with or without isoproterenol). Atrial EGMs during AF were mapped/analyzed using an automated CFE algorithm. The algorithm measures the time between discrete deflections in a local EGM over 5 seconds (based on selectable width and peak-to-peak [>0.03 mV] criteria). The mean CL of the local EGM is projected onto the LA shell as a color-coded display. Regions of CL <120 ms (published criteria) were targeted for ablation/elimination. Atrial fibrillation cycle length (AFCL) and regularity were measured from the CS. After CFE ablation, further ablation was done to achieve complete PVAI.

RESULTS

AF was spontaneous (n = 20) or induced (n = 15) in all patients. CFEs were most commonly found along the septum (97%), anterior LA (97%), PV antra (83%), base of appendage (83%), and annulus (71%). CFE ablation alone prolonged the AFCL (171 +/- 27 vs. 304 +/- 41 ms; P = .03) and regularized AF to left/right flutter (AFL) in 74% of patients. CFE ablation terminated AF/AFL in 19 patients (54%)-the other 16 were cardioverted-and AF became noninducible in 77%. CFE ablation alone did not cause PV isolation (0.1 +/- 0.3 PV isolated/patient). After combined CFE and PVAI ablation, the single-procedure, off-drug success rate was 83% (follow-up 13 +/- 4 months) versus 71% in matched controls who had PVAI alone (P = .045).

CONCLUSIONS

CFE ablation guided by an automated algorithm resulted in AFCL prolongation, regularization, and noninducibility in most patients. AF terminated in 54% of cases. PVAI with adjuvant CFE ablation has a high efficacy and may be superior to PVAI alone.

摘要

背景

复杂碎裂电图(CFEs)是周期长度(CL)非常短的连续电图(EGMs),代表心房颤动(AF)持续存在的基质。CFEs消融可能导致AF减慢、终止和预防,但识别它们可能具有主观性。

目的

本研究的目的是前瞻性评估(1)自动算法能否识别CFE区域,(2)消融这些区域对AF的急性影响,以及(3)作为肺静脉前庭隔离(PVAI)辅助策略的长期疗效。

方法

研究了35例有症状的阵发性(n = 21)或持续性(n = 14)AF患者(三个中心,年龄61±9岁,左心房[LA] 43±9 mm,射血分数53%±7%)。使用十极套索导管(间距2 mm)进行标测。构建了LA和肺静脉(PVs)的三维外壳。如果患者未处于AF状态,则通过短阵猝发起搏(有或无异丙肾上腺素)诱发AF。使用自动CFE算法对AF期间的心房EGMs进行标测/分析。该算法测量局部EGM中离散偏转之间5秒内的时间(基于可选择的宽度和峰峰值[>0.03 mV]标准)。局部EGM的平均CL以彩色编码显示投影到LA外壳上。CL<120 ms的区域(已发表的标准)作为消融/消除的靶点。从冠状窦测量心房颤动周期长度(AFCL)和规律性。在CFE消融后,进一步进行消融以实现完全PVAI。

结果

所有患者的AF均为自发(n = 20)或诱发(n = 15)。CFEs最常见于沿房间隔(97%)、LA前部(97%)、PV前庭(83%)、心耳基部(83%)和瓣环(71%)。单纯CFE消融可延长AFCL(171±27 vs. 304±41 ms;P = 0.03),并使74%的患者的AF规则化为左/右心房扑动(AFL)。CFE消融使19例患者(54%)的AF/AFL终止,其余16例患者被转复,77%的患者AF变得不可诱发。单纯CFE消融未导致PV隔离(0.1±0.3条PV被隔离/患者)。在CFE和PVAI联合消融后,单次手术、停药后的成功率为83%(随访13±4个月),而单纯接受PVAI的匹配对照组为71%(P = 0.045)。

结论

由自动算法引导的CFE消融在大多数患者中导致AFCL延长、规则化和不可诱发。54%的病例中AF终止。PVAI联合辅助CFE消融具有高疗效,可能优于单纯PVAI。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验