Suppr超能文献

应用无创性标测技术预测流出道心律失常起源部位的表面单极电图特征。

Surface unipolar electrogram characteristics to predict site of origin of outflow tract arrhythmias using noninvasive mapping.

机构信息

Department of Cardiac Electrophysiology, Northwell Health-Lenox Hill Heart and Lung, New York, New York, USA.

出版信息

J Cardiovasc Electrophysiol. 2021 Feb;32(2):391-399. doi: 10.1111/jce.14857. Epub 2021 Jan 6.

Abstract

BACKGROUND

Noninvasive electroanatomic mapping (NIEAM) demonstrate patterns of depolarization that are useful in identifying the chamber of origin (COO) in outflow tract ventricular arrhythmias (OTVA). However, its use in predicting exact site of origin (SOO) has not yet been validated.

METHODS

NIEAMs (CardioInsight, Medtronic) from 40 patients (age 62.5 ± 2.6) undergoing ablation for OTVA were reviewed for diagnostic accuracy in predicting the SOO. Earliest arrhythmia breakout and directionality of earliest instantaneous unipolar electrograms (uEGMs) on NIEAMs were evaluated subjectively by two observers for quality and amplitude. Sites with most negative earliest uEGMs on right and left ventricular outflow tracts, as well as epicardial surface were manually identified. Using NIEAM-based activation timing of the lateral mitral annulus and basal septum COO was identified for each OTVA. Predictions of SOO using NIEAMs was compared with true SOO from invasive study. NIEAMs SOO predictions were compared with subjective 12 lead electrocardiogram (ECG) review by two observers.

RESULTS

Review of arrhythmia breakout and signal directionality had poor diagnostic value in predicting SOO in OTVA (50.6% and 49.4%, 56.6% and 43.4%, respectively) and underperformed compared with ECG interpretation (59.1% and 80.5%). After excluding uEGMs with poor characteristics, the uEGM with most negative amplitude at the COO was predictive of the true SOO with 96.4% sensitivity and specificity.

CONCLUSION

We propose a stepwise approach when interpreting NIEAMs for OTVA where patterns of activation are evaluated first to determine the COO, followed by identification of the site with most negative amplitude instantaneous uEGM to determine SOO.

摘要

背景

非侵入性电解剖图(NIEAM)显示去极化模式,有助于识别流出道室性心律失常(OTVA)的起源腔室(COO)。然而,其在预测确切起源部位(SOO)中的应用尚未得到验证。

方法

回顾了 40 名(年龄 62.5±2.6)接受 OTVA 消融治疗的患者的 NIEAM,评估其在预测 SOO 中的诊断准确性。两位观察者主观评估 NIEAM 上最早心律失常突破和最早瞬时单极电图(uEGM)的方向,以评估质量和振幅。手动识别右和左心室流出道以及心外膜表面上最早 uEGM 最负的部位。使用基于 NIEAM 的外侧二尖瓣环和基底间隔 COO 的激活时间来识别每个 OTVA 的 COO。将 NIEAM 预测的 SOO 与侵入性研究的真实 SOO 进行比较。将 NIEAM 的 SOO 预测与两位观察者的主观 12 导联心电图(ECG)回顾进行比较。

结果

心律失常突破和信号方向的评估在预测 OTVA 的 SOO 方面具有较差的诊断价值(分别为 50.6%和 49.4%,56.6%和 43.4%),并且表现不如 ECG 解释(59.1%和 80.5%)。在排除具有较差特征的 uEGM 后,COO 处具有最大负振幅的 uEGM 对真 SOO 的预测具有 96.4%的敏感性和特异性。

结论

我们提出了一种在解释 OTVA 的 NIEAM 时的逐步方法,首先评估激活模式以确定 COO,然后确定具有最大负振幅瞬时 uEGM 的部位以确定 SOO。

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