A Single‐lead ECG algorithm to differentiate right from left manifest accessory pathways: A reappraisal of the P‐Delta interval

Faculty of Medicine

Assiut University

A Single‐lead ECG algorithm to differentiate right from left manifest accessory pathways: A reappraisal of the P‐Delta interval

Research Authors
Hussam Ali, Carmine De Lucia, Ernesto Cristiano, Pierpaolo Lupo, Sara Foresti, Guido De Ambroggi, Dario Turturiello, Edoardo Maria Paganini, Riccardo Bessi, Ahmad Abdelrady Abdelsalam Farghaly, Pietro Francia, Riccardo Cappato
Research Date
Research Department
Department of Cardiology
Research Journal
Journal of Cardiovascular Electrophysiology
Research Member
Ahmed Abdel-Radi Abdel-Salam Farghali
Research Publisher
Journal of Cardiovascular Electrophysiology
Research Vol
Volume 34, Issue 3
Research Website
https://scholar.google.com.eg/scholar?oi=bibs&cluster=1513821872444229872&btnI=1&hl=en
Research Year
2023
Research_Pages
598-606
Research Abstract

Despite numerous ECG algorithms being developed to localize the site of manifest accessory pathways (AP), they often require stepwise multiple‐lead analysis with variable accuracy, limitations, and reproducibility. The study aimed to develop a single‐lead ECG algorithm incorporating the P‐Delta interval (PDI) as an adjunct criterion to discriminate between right and left manifest AP.

Methods

Consecutive WPW patients undergoing electrophysiological study (EPS) were retrospectively recruited and split into a derivation and validation group (1:1 ratio). Sinus rhythm ECG analysis in lead V1 was performed by three independent investigators blinded to the EPS results. Conventional ECG parameters and PDI were assessed through the global cohort.

Results

A total of 140 WPW patients were included (70 for each group). A score‐based, single‐lead ECG algorithm was developed through derivation …