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This corrects the article: “Ioannou A. Evolution of Disease-modifying Therapy for Transthyretin Cardiac Amyloidosis. Heart International. 2024;18(1):30-37”. Two typography errors were included incorrectly due to an editorial error. In Table 1, “eplontersen” was incorrectly written as “eplomtersen”. This has been corrected in the text. In the section “Eplontersen”, the administration schedule should be written as […]

1/Optimization of Ablation Outcome with Ventricular Tachycardia Ablation Pathway: The VITALITY Study

SH Man (Presenting Author) - Glenfield Hospital, Leicester, Leicester, UK; A Mavilakandy - Glenfield Hospital, Leicester, Leicester, UK; JO Ajagu - Glenfield Hospital, Leicester, Leicester, UK; R Chintalapati - Glenfield Hospital, Leicester, Leicester, UK; N Chan - Glenfield Hospital, Leicester, Leicester, UK; I Antoun - Glenfield Hospital, Leicester, Leicester, UK; M Ibrahim - Glenfield Hospital, Leicester, Leicester, UK; M Lazdam - Glenfield Hospital, Leicester, Leicester, UK; AJ Sandilands – Glenfield Hospital, Leicester, Leicester, UK; R Somani – Glenfield Hospital, Leicester, Leicester, UK; GA Ng - Glenfield Hospital, Leicester, Leicester, UK; SH Chin - Glenfield Hospital, Leicester, Leicester, UK
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Published Online: Oct 8th 2020 European Journal of Arrhythmia & Electrophysiology. 2023;9(Suppl. 1):abstr1
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BackgroundCatheter ablation (CA) of ventricular tachycardia (VT) reduces ICD therapies in patients with VT due to structural heart disease (SHD). A structured ablation pathway may guide pre-ablation optimization of antiarrhythmic drugs (AAD) and ICD programming. We aimed to investigate impact of an ablation pathway on VT ablation outcome.

MethodsThe study recruited consecutive patients with SHD undergoing VT ablation before (Cohort 1, 2015–2020) and after (Cohort 2, 2020–2022) the introduction of a VT ablation pathway. Cohort 2 had beta-blocker up-titration following first anti-tachycardia pacing. After first ICD shock, patients were started on class III AADs. Patients with ischaemic cardiomyopathy (ICM) were offered CA. Patients with non-ICM (NICM) had CA after second ICD shock. Potential demographic and clinical predictors of hospitalization for VT or heart failure (HF) were assessed. Cox regression and Kaplan-Meier analyses were performed.

ResultsDemographics were similar between Cohorts 1 and 2 (n=76 versus 43; age 60.5 ± 15.0 versus 59.3 ± 14.3 years; EF 39.2 ± 12.3% versus 38.5 ± 10.1%; NICM 57% versus 49%; PAAINESD 12.7 ± 6.5 versus 13.5 ± 7.1). Prior to CA, Cohort 2 received fewer ICD shocks (0.75 ± 0.87 versus 7.0 ± 8.9, p<0.01). Following ablation, fewer patients in Cohort 2 remained on ≥1 AAD (3.6% versus 42.5%, p<0.01), experienced VT (34.6% versus 51.4%, p<0.05) and ICD shocks (6.9% versus 21.6%, p<0.05). At 18 months, 93.5% of Cohort 2 versus 72.5% Cohort 1 were free of hospitalization from VT or heart failure (p<0.05). Cohort 2 (HR=0.01, p<0.05) and mappable VT (HR=0.31, p<0.05) independently predicts freedom from hospitalization for VT or HF.

ConclusionPre-ablation optimization of AAD and ICD programming through a VT ablation pathway improves VT ablation outcomes in patients with SHD. Future mechanistic studies to investigate upstream optimization of VT ablations are required. 

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