Why the study?
Predicting the chamber of origin in patients with outflow tract ventricular arrhythmias remains challenging, prompting validation of a clinical score based on age, sex, and hypertension.
Does a clinical risk score based on age, sex, and hypertension accurately predict a left ventricular outflow tract origin in patients with idiopathic outflow tract ventricular arrhythmias?
Does a clinical risk score based on age, sex, and hypertension accurately predict a left ventricular outflow tract origin in patients with idiopathic outflow tract ventricular arrhythmias?
A clinical risk score based on age, sex, and hypertension has moderate predictive value for LVOT origin of ventricular arrhythmias, which can be improved by combining it with an existing ECG algorithm.
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 (V 2 S/V 3 R‐index) with the clinical score resulted in a sensitivity and specificity of 81% and 70% for PVCs with R/S transition at V 3 . Conclusion The published clinical score yielded a lower sensitivity and specificity in our cohort. However, for PVCs with R/S transition at V 3, the combination with an existing ECG algorithm can improve the predictability of LVOT origin.
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Bourquin et al. (2023) studied this question.
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