ArticleActa Cardiologica Sinica2019
A Novel and Simple Algorithm Using Surface Electrocardiogram That Localizes Accessory Conduction Pathway in Wolff-Parkinson-White Syndrome in Pediatric Patients.
Article in Acta Cardiologica Sinica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 15 citations in OpenAlex.
- The Wolff-Parkinson-White pattern in neonates: results from a large population-based cohort study.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023Trial
- Risk stratification and management of arrhythmias in patients with Wolff-Parkinson-White syndrome.Annals of medicine and surgery (2012) · 2025Review
- Wolf-Parkinson-White Syndrome: Diagnosis, Risk Assessment, and Therapy-An Update.Diagnostics (Basel, Switzerland) · 2024Review
- Acute Myocardial Infarction in a Patient with Wolff-Parkinson-White Pattern ECG.Acta Cardiologica Sinica · 2023Article
- EASY-WPW: a novel ECG-algorithm for easy and reliable localization of manifest accessory pathways in children and adults.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023Article
- Accuracy of Algorithms Predicting Accessory Pathway Localization in Pediatric Patients with Wolff-Parkinson-White Syndrome.Children (Basel, Switzerland) · 2022Article
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe location of the accessory pathway (AP) can be precisely identified on surface electrocardiography (ECG) in adults with Wolff-Parkinson-White (WPW) syndrome. However, current algorithms to locate the AP in pediatric patients with WPW syndrome are limited.
objectiveTo propose an optimal algorithm that localizes the AP in pediatric patients with WPW syndrome.
methodsFrom 1992 to 2016, 180 consecutive patients aged below 18 years with symptomatic WPW syndrome were included. After the exclusion of patients with non-descriptive electrocardiography (ECG), multiple APs, congenital heart diseases, non-inducible tachycardia, and those who received a second ablation, 104 patients were analyzed retrospectively. Surface ECG was obtained before ablation and evaluated by using previously documented algorithms, from which a new pediatric algorithm was developed.
resultsPrevious algorithms were not highly accurate when used in pediatric patients with WPW syndrome. In the new algorithm, the R/S ratio of V1 and the polarity of the delta wave in lead I could distinguish right from the left side AP with 100% accuracy. The polarity of the delta wave of lead V1 could distinguish free wall AP from septal AP with an accuracy of 100% in left-side AP, compared to 88.6% in leads III and V1 for right-side AP. The overall accuracy was 92.3%.
conclusionsThis simple, novel algorithm could differentiate left from right AP and septal from free wall AP in pediatric patients with WPW syndrome.
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