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基于心电图的系统评估结构性心脏病患者室性心律失常的定位。

Assessment of an ECG-Based System for Localizing Ventricular Arrhythmias in Patients With Structural Heart Disease.

机构信息

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

Department of Medicine Queen Elizabeth II Health Sciences Centre Halifax NS Canada.

出版信息

J Am Heart Assoc. 2021 Oct 19;10(20):e022217. doi: 10.1161/JAHA.121.022217. Epub 2021 Oct 6.

Abstract

Background We have previously developed an intraprocedural automatic arrhythmia-origin localization (AAOL) system to identify idiopathic ventricular arrhythmia origins in real time using a 3-lead ECG. The objective was to assess the localization accuracy of ventricular tachycardia (VT) exit and premature ventricular contraction (PVC) origin sites in patients with structural heart disease using the AAOL system. Methods and Results In retrospective and prospective case series studies, a total of 42 patients who underwent VT/PVC ablation in the setting of structural heart disease were recruited at 2 different centers. The AAOL system combines 120-ms QRS integrals of 3 leads (III, V2, V6) with pace mapping to predict VT exit/PVC origin site and projects that site onto the patient-specific electroanatomic mapping surface. VT exit/PVC origin sites were clinically identified by activation mapping and/or pace mapping. The localization error of the VT exit/PVC origin site was assessed by the distance between the clinically identified site and the estimated site. In the retrospective study of 19 patients with structural heart disease, the AAOL system achieved a mean localization accuracy of 6.5±2.6 mm for 25 induced VTs. In the prospective study with 23 patients, mean localization accuracy was 5.9±2.6 mm for 26 VT exit and PVC origin sites. There was no difference in mean localization error in epicardial sites compared with endocardial sites using the AAOL system (6.0 versus 5.8 mm, =0.895). Conclusions The AAOL system achieved accurate localization of VT exit/PVC origin sites in patients with structural heart disease; its performance is superior to current systems, and thus, it promises to have potential clinical utility.

摘要

背景

我们之前开发了一种术中自动心律失常起源定位(AAOL)系统,该系统使用 3 导联心电图实时识别特发性室性心律失常起源。目的是使用 AAOL 系统评估结构性心脏病患者室性心动过速(VT)出口和室性期前收缩(PVC)起源部位的定位准确性。

方法和结果

在回顾性和前瞻性病例系列研究中,共招募了 2 家中心的 42 例结构性心脏病患者进行 VT/PVC 消融。AAOL 系统结合了 3 导联(III、V2、V6)的 120-ms QRS 积分和起搏图,以预测 VT 出口/PVC 起源部位,并将该部位投射到患者特异性电解剖图表面。VT 出口/PVC 起源部位通过激动标测和/或起搏标测临床确定。VT 出口/PVC 起源部位的定位误差通过临床确定部位与估计部位之间的距离来评估。在回顾性研究中,19 例结构性心脏病患者共发生 25 次诱发性 VT,AAOL 系统的平均定位精度为 6.5±2.6mm。在前瞻性研究中,23 例患者共发生 26 个 VT 出口和 PVC 起源部位,平均定位精度为 5.9±2.6mm。使用 AAOL 系统,心外膜部位与心内膜部位的平均定位误差无差异(6.0 与 5.8mm,=0.895)。

结论

AAOL 系统能够准确定位结构性心脏病患者的 VT 出口/PVC 起源部位;其性能优于目前的系统,因此具有潜在的临床应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926e/8751877/1a046cca0975/JAH3-10-e022217-g001.jpg

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