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新算法用于辅助径路定位,侧重于筛查具有 Wolff-Parkinson-White 综合征的小儿患者中的间隔径路。

New algorithm for accessory pathway localization focused on screening septal pathways in pediatric patients with Wolff-Parkinson-White syndrome.

机构信息

Department of Pediatrics, Seoul National University Children's Hospital, Seoul National University College of Medicine, Seoul, South Korea.

Division of Cardiology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.

出版信息

Heart Rhythm. 2020 Dec;17(12):2172-2179. doi: 10.1016/j.hrthm.2020.07.016. Epub 2020 Jul 16.

Abstract

BACKGROUND

Published algorithms for accessory pathway localization in Wolff-Parkinson-White (WPW) syndrome are inaccurate in pediatric patients, especially for septal pathways.

OBJECTIVE

We aimed to develop a new algorithm that is sensitive for septal pathways and more applicable in pediatric patients.

METHODS

In 120 patients (mean age: 11.7 ± 3.9 years) who underwent catheter ablation for WPW syndrome, the candidate criteria for new algorithm were searched by comparing electrocardiography parameters and accessory pathway locations. A new algorithm was designed to increase the sensitivity for septal pathways. For validation, 142 patients (mean age: 15.8 ± 3.7 years) were additionally evaluated. New and published algorithms were applied to electrocardiography of 262 patients and the results were compared.

RESULTS

The new algorithm achieved its best discrimination by combining several parameters together in each step: (1) QRS polarity in V and QRS shape in lead I for left/right discrimination, and (2) delta wave polarity in V, QRS transition in precordial leads, and delta wave polarity in lead III for septal pathway screening. The new algorithm showed higher sensitivity for septal pathways (95.7%) than 7 published algorithms (average: 62.1%), with satisfactory positive predictive value (77.9%). Delta wave polarity in V among septal pathways and QRS axis among right anteroseptal pathway showed age-related trend; this could be the reason for the lower accuracy in localizing septal pathways in children.

CONCLUSION

The inaccuracy of published algorithms in pediatric patients is due to the age-related trend in the electrocardiography of septal pathways. The new algorithm was superior for localizing septal pathways in pediatric patients.

摘要

背景

发表的房室旁路定位算法在小儿沃-帕-怀(WPW)综合征中并不准确,尤其是对于间隔旁路。

目的

我们旨在开发一种新的算法,该算法对间隔旁路敏感,更适用于儿科患者。

方法

在 120 例(平均年龄:11.7 ± 3.9 岁)因 WPW 综合征而行导管消融的患者中,通过比较心电图参数和旁路位置来寻找新算法的候选标准。设计了一种新算法以提高对间隔旁路的敏感性。为了验证,另外评估了 142 例患者(平均年龄:15.8 ± 3.7 岁)。将新算法和已发表的算法应用于 262 例患者的心电图,并比较结果。

结果

新算法通过在每个步骤中结合多个参数来实现最佳区分:(1)V 导联的 QRS 极性和 I 导联的 QRS 形态用于左右区分,以及(2)V 导联的 delta 波极性、胸前导联的 QRS 过渡和 III 导联的 delta 波极性用于间隔旁路筛查。新算法对间隔旁路的敏感性(95.7%)高于 7 种已发表算法(平均:62.1%),阳性预测值令人满意(77.9%)。间隔旁路的 V 导联中的 delta 波极性和右前间隔旁路的 QRS 轴呈年龄相关趋势;这可能是小儿间隔旁路定位准确性较低的原因。

结论

发表的算法在儿科患者中不准确的原因是间隔旁路心电图存在年龄相关趋势。新算法更适用于儿科患者的间隔旁路定位。

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