A novel ECG algorithm to differentiate between ventricular arrhythmia from right versus left ventricular outflow...

Area of Science:

• Cardiology
• Electrophysiology
• Medical Diagnostics

Background:

• Outflow tract ventricular arrhythmia (OTVA) is a common cause of ventricular arrhythmias.
• Accurate determination of OTVA origin is crucial for effective treatment, particularly ablation.
• Existing diagnostic criteria may have limitations in reliably predicting OTVA origin.

Purpose of the Study:

• To evaluate the diagnostic accuracy of criteria for determining OTVA origin.
• To develop and validate a novel electrocardiogram (ECG) algorithm for predicting OTVA origin.

Main Methods:

• Retrospective analysis of ECGs from 100 patients with successful OTVA ablation.
• Measurement of QRS complex parameters during sinus rhythm and ventricular arrhythmia.
• Development of an ECG algorithm and validation in an independent cohort of 100 patients.

Main Results:

• The V2S/V3R index effectively predicted right ventricular outflow tract (RVOT) origin (AUC=0.96).
• Larger initial r wave surface area (ISA) in V1 and V2 predicted left ventricular outflow tract (LVOT) origin (AUC=0.06).
• The combined algorithm achieved 95% accuracy, 87% sensitivity, and 100% specificity in predicting OTVA origin, validated with 95% accuracy.

Conclusions:

• A novel ECG algorithm reliably predicts the origin of outflow tract ventricular arrhythmias.
• The algorithm demonstrates high accuracy and reliability, applicable without transition lead restrictions.
• This tool can aid clinicians in diagnosing and managing patients with OTVA.