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基于 CT 的左心房容积指数、性别和年龄预测房颤患者左心房低电压区的存在和范围:ZAQ 评分。

Computed tomography-derived left atrial volume index, sex, and age to predict the presence and the extent of left atrial low-voltage zones in patients with atrial fibrillation: The ZAQ score.

机构信息

Arrhythmia Section, Division of Cardiology, Zentralklinik Bad Berka, Bad Berka, Germany.

Department of Life Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.

出版信息

J Cardiovasc Electrophysiol. 2020 Apr;31(4):895-902. doi: 10.1111/jce.14391. Epub 2020 Feb 20.

Abstract

BACKGROUND

Pulmonary vein isolation is the cornerstone of catheter ablation in patients with atrial fibrillation (AF). However, with advanced left atrial (LA) structural changes, additional targeted catheter ablation of low-voltage zones (LVZs) has produced favorable results. Therefore, with the advent of single-shot techniques, it would be helpful to predict the presence of LVZs before an ablation procedure.

OBJECTIVE

We hypothesized that computed tomography (CT)-derived left atrial volume index (LAVI), in combination with other objective parameters, could be used to develop a score able to predict the presence of LVZs.

METHODS

In a large cohort of patients undergoing their first AF ablations, comprehensive echocardiographic evaluations and cardiac CT were performed. During the electrophysiological studies, LA geometry and electroanatomic voltage maps were created. LVZs were defined as areas ≥1 cm with bipolar peak-to-peak voltage amplitudes ≤0.5 mV.

RESULTS

In a derivation cohort of 374 patients, predictors of LVZs were identified by regression analysis and used to build the Zentralklinik Bad Berka and University of L'Aquila (ZAQ) score (age ≥65 years; female sex; and CT-LAVI ≥57 mL/m ). The ZAQ score of 2 points accurately identified the presence and the extent of LVZs (area under the curve [AUC], 0.809; 95% confidence interval [CI], 0.758-0.861; P < .001 and 3 [interquartile range, IQR, 1.5-4.5] vs 7 cm [IQR 4-9]; P = .001). In a validation cohort of 103 patients, the predictive value of the score was confirmed (AUC, 0.793; 95% CI, 0.709-0.878; P < .001 and 4 [IQR, 2-7] vs 11.5 cm [IQR, 8-16.5]; P = .001).

CONCLUSIONS

The ZAQ score identifies LVZs and may be useful for planning the ablation strategy ahead of time.

摘要

背景

肺静脉隔离是心房颤动(AF)患者导管消融的基石。然而,随着左心房(LA)结构的改变,对低电压区(LVZ)进行额外的靶向导管消融已经产生了良好的效果。因此,随着单次拍摄技术的出现,在消融手术前预测 LVZ 的存在将有所帮助。

目的

我们假设 CT 衍生的左心房容积指数(LAVI)与其他客观参数结合使用,可以开发一种能够预测 LVZ 存在的评分。

方法

在接受首次 AF 消融的大量患者队列中,进行了全面的超声心动图评估和心脏 CT。在电生理研究期间,创建了 LA 几何形状和电解剖电压图。LVZ 定义为面积≥1cm,双极峰峰值电压幅度≤0.5mV。

结果

在 374 例患者的推导队列中,通过回归分析确定了 LVZ 的预测因子,并用于构建 Zentralklinik Bad Berka 和 University of L'Aquila(ZAQ)评分(年龄≥65 岁;女性;CT-LAVI≥57ml/m)。ZAQ 评分 2 分准确地识别了 LVZ 的存在和范围(曲线下面积[AUC],0.809;95%置信区间[CI],0.758-0.861;P<0.001 和 3[四分位距,IQR,1.5-4.5]vs7cm[IQR4-9];P=0.001)。在 103 例验证队列中,该评分的预测价值得到了证实(AUC,0.793;95%CI,0.709-0.878;P<0.001 和 4[IQR,2-7]vs11.5cm[IQR,8-16.5];P=0.001)。

结论

ZAQ 评分可识别 LVZ,有助于提前规划消融策略。

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