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A Stepwise ECG Algorithm to Resolve Identical Precordial Transition in Idiopathic Outflow Tract Ventricular
Elena Krackhardt1, Angeliki Darma2, Alireza Sepehri Shamloo3
1Department of Internal Medicine III, University Hospital Halle (Saale), Martin-Luther University Halle-Wittenberg, Halle (Saale), Germany.
Background:
Accurate pre-procedural differentiation of right (RVOT) versus left ventricular outflow tract (LVOT) origin in idiopathic outflow tract ventricular arrhythmias may facilitate procedural planning and mapping strategy. However, existing 12-lead ECG criteria show variable performance and often fail to provide clear discrimination when the precordial transition during sinus rhythm and ventricular ectopy is identical.
Objective:
To develop and evaluate a pragmatic, stepwise 12-lead ECG algorithm integrating amplitude- and duration-based parameters to discriminate RVOT from LVOT origin, with specific focus on identical precordial transitional patterns.
Methods:
In this single-center retrospective study, consecutive patients undergoing successful catheter ablation for idiopathic outflow tract ventricular arrhythmias were included. The reference standard was the documented site of successful ablation (RVOT vs. LVOT). A stepwise ECG algorithm was developed, incorporating morphology-based criteria followed by a binary logistic regression model in patients with identical precordial transition. Diagnostic performance was assessed relative to the ablation site, and the regression model was internally validated using bootstrap resampling.
Results:
A total of 133 patients were included (RVOT n = 76; LVOT n = 57). The 4-step algorithm correctly classified 131 of 133 patients (98.5%). In the subgroup with identical transitions during sinus rhythm and PVCs (n = 48), Step 4 demonstrated complete apparent classification, with an optimism-corrected accuracy of 96.1% and an AUC of 0.958 after bootstrap validation. The estimated optimism-corrected overall algorithm accuracy was 97%.
Conclusion:
A probability-based, stepwise ECG algorithm enables accurate discrimination between RVOT and LVOT origin, particularly in diagnostically challenging transitional patterns. If confirmed in external cohorts, this structured approach may support pre-procedural localization and hypothesis-driven mapping strategies in patients with idiopathic outflow tract ventricular arrhythmias.
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