ArticleJournal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing2018
Predicting value of coupling interval variability in determining the origin of ventricular premature contractions with V3 transition.
Article in Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Diagnostic accuracy of electrocardiogram algorithms for differentiating left from right outflow tract ventricular arrhythmia: a systematic review and network meta-analysis.Heart (British Cardiac Society) · 2026Pooled it
- A "two-step classification" machine learning method for non-invasive localization of premature ventricular contraction origins based on 12-lead ECG.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2024Article
- Unlocking the enigma: decoding premature ventricular complexes for effective clinical assessment and risk management.European heart journal supplements : journal of the European Society of Cardiology · 2024Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeWe aimed to investigate the predictive value of coupling interval variability (ΔCI) in determining the origin of idiopathic outflow tract ventricular tachycardia (OTVT) with V3 transition.
methodsWe reviewed data from 126 patients who underwent catheter ablation of OTVT between 2015 and 2018 at our institution. We identified 32 patients of successful OTVT ablation with a precordial transition at V3 derivation. The ΔCI (maximum - minimum CI) was measured.
resultsCI variability was significantly smaller for right ventricular (RV) OT than left ventricular (LV) OT premature ventricular contractions (PVCs) (p = 0.004). In multivariate analysis, including QRS duration, R-wave duration in lead V1, R-wave amplitude in V1, PVC burden, and ΔCI, ΔCI was the only independent predictor of PVC origin (OR 0.963, 95% CI, 0.939-0.988, p < 0.001). A CI variability ≥ 30 predicted a PVC from LVOT origin with a sensitivity of 83% and specificity of 89%. ΔCI was compared with other previously proposed ECG criteria used to differentiate LVOT from RVOT PVCs. ΔCI exhibited a greater area under the curve (AUC) (0.867) than the other ECG criteria. A ΔCI ≥ 30 ms exhibited a high sensitivity of 89% and a specificity of 83%.
conclusionsΔCI is outperformed other ECG criteria to differentiate LVOT from RVOT PVCs, and this parameter may be useful for planning the ablation strategy.
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