Validation of a novel automated signal analysis tool for ablation of Wolff-Parkinson-White Syndrome.

ABSTRACT:

Background

In previous pilot work we demonstrated that a novel automated signal analysis tool could accurately identify successful ablation sites during Wolff-Parkinson-White (WPW) ablation at a single center.

Objective

We sought to validate and refine this signal analysis tool in a larger multi-center cohort of children with WPW.

Methods

A retrospective review was performed of signal data from children with WPW who underwent ablation at two pediatric arrhythmia centers from 2008-2015. All patients with WPW ≤ 21 years who underwent invasive electrophysiology study and ablation with ablation signals available for review were included. Signals were excluded if temperature or power delivery was inadequate or lesion time was < 5 seconds. Ablation lesions were reviewed for

SUBMITTER: Ceresnak SR 

PROVIDER: S-EPMC6594583 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature