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自动化电压分析确定的左心房病变组织负荷分类可预测房颤消融后的结局。

Classification of Left Atrial Diseased Tissue Burden Determined by Automated Voltage Analysis Predicts Outcomes after Ablation for Atrial Fibrillation.

机构信息

Heart and Vascular Centre, Semmelweis University, 68 Varosmajor Street, Budapest, Hungary.

Atrial Fibrillation Institute, Mater Private Hospital, Eccles Street, Dublin 7, Ireland.

出版信息

Dis Markers. 2021 Jun 22;2021:5511267. doi: 10.1155/2021/5511267. eCollection 2021.

Abstract

BACKGROUND

The burden and persistence of atrial fibrillation (AF) have been associated with the presence and extent of left atrial (LA) fibrosis. Recent reports have implicated an association between the extent of LA fibrosis and the outcome of pulmonary vein isolation (PVI). We aimed to analyse the value of an automated scar quantification method in the prediction of success following PVI.

METHODS

One hundred and nine consecutive patients undergoing PVI for paroxysmal or persistent AF were included in our observational study with a 2-year follow-up. Prior to PVI, patients underwent high-definition LA electroanatomical mapping, and scar burden was quantified by automated software (Voltage Histogram Analysis, CARTO 3, Biosense Webster), then classified into 4 subgroups (Dublin Classes I-IV). Recurrence rates were analysed on and off antiarrhythmic drug therapy (AAD), respectively.

RESULTS

The overall success rate was 74% and 67% off AAD at 1- and 2-year follow-up, respectively. Patients with Dublin Class IV had significantly lower success rates ( = 0.008, off AAD). Dublin Class IV (OR = 2.27, = 0.022, off AAD) and the presence of arrhythmia in the blanking period (OR = 3.28, = 0.001, off AAD) were the only significant predictors of recurrence. The use of AAD did not affect these results.

CONCLUSIONS

We propose a classification of low voltage areas based on automated quantification by software during 3D mapping prior to PVI. Patients with high burden of low voltage areas (>31% of <0.5 mV, Dublin Class IV) have a higher risk of recurrence following PVI. Information gathered during electroanatomical mapping may have important prognostic value.

摘要

背景

心房颤动(AF)的负担和持续性与左心房(LA)纤维化的存在和程度有关。最近的报告表明,LA 纤维化的程度与肺静脉隔离(PVI)的结果之间存在关联。我们旨在分析一种自动瘢痕量化方法在预测 PVI 后成功的价值。

方法

我们对 109 例接受阵发性或持续性 AF 的 PVI 的连续患者进行了观察性研究,随访时间为 2 年。在进行 PVI 之前,患者接受了高清 LA 电解剖图谱,并通过自动软件(Voltage Histogram Analysis,CARTO 3,Biosense Webster)对瘢痕负担进行量化,然后将其分为 4 个亚组(都柏林分类 I-IV)。分别分析抗心律失常药物(AAD)治疗前后的复发率。

结果

总的成功率为 74%和 67%,在 1 年和 2 年随访时分别停药。都柏林分类 IV 组的成功率明显较低( = 0.008,停药)。都柏林分类 IV(OR = 2.27, = 0.022,停药)和空白期心律失常的存在(OR = 3.28, = 0.001,停药)是唯一显著的复发预测因素。AAD 的使用并不影响这些结果。

结论

我们提出了一种基于 3D 标测前软件自动量化的低电压区分类方法。低电压区(<0.5 mV 时>31%,都柏林分类 IV)负荷较高的患者在接受 PVI 后复发的风险较高。电解剖标测期间收集的信息可能具有重要的预后价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a96/8245248/1f457dc50eab/DM2021-5511267.001.jpg

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