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Validation of a clinical model for predicting left versus right ventricular outflow tract origin of idiopathic ventricular arrhythmias.

Authors :
Bourquin, Luc
Küffer, Thomas
Asatryan, Babken
Badertscher, Patrick
Baldinger, Samuel H.
Knecht, Sven
Seiler, Jens
Spies, Florian
Servatius, Helge
Kühne, Michael
Noti, Fabian
Osswald, Stefan
Haeberlin, Andreas
Tanner, Hildegard
Roten, Laurent
Reichlin, Tobias
Sticherling, Christian
Source :
Pacing & Clinical Electrophysiology. Oct2023, Vol. 46 Issue 10, p1186-1196. 11p.
Publication Year :
2023

Abstract

Background: Prediction of the chamber of origin in patients with outflow tract ventricular arrhythmias (OTVA) remains challenging. A clinical risk score based on age, sex and presence of hypertension was associated with a left ventricular outflow tract (LVOT) origin. We aimed to validate this clinical score to predict an LVOT origin in patients with OTVA. Methods: In a two‐center observational cohort study, unselected patients undergoing catheter ablation (CA) for OTVA were enrolled. All procedures were performed using an electroanatomical mapping system. Successful ablation was defined as a ≥80% reduction of the initial overall PVC burden after 3 months of follow‐up. Patients with unsuccessful ablation were excluded from this analysis. Results: We included 187 consecutive patients with successful CA of idiopathic OTVA. Mean age was 52 ± 15 years, 102 patients (55%) were female, and 74 (40%) suffered from hypertension. A LVOT origin was found in 64 patients (34%). A score incorporating age, sex and presence of hypertension reached 73% sensitivity and 67% specificity for a low (0–1) and high (2–3) score, to predict an LVOT origin. The combination of one ECG algorithm (V2S/V3R‐index) with the clinical score resulted in a sensitivity and specificity of 81% and 70% for PVCs with R/S transition at V3. Conclusion: The published clinical score yielded a lower sensitivity and specificity in our cohort. However, for PVCs with R/S transition at V3, the combination with an existing ECG algorithm can improve the predictability of LVOT origin. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01478389
Volume :
46
Issue :
10
Database :
Academic Search Index
Journal :
Pacing & Clinical Electrophysiology
Publication Type :
Academic Journal
Accession number :
172893909
Full Text :
https://doi.org/10.1111/pace.14809