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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 […]

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40/Three-dimensional 12-lead ECG-based electrocardiographic imaging in cardiac resynchronisation therapy recipients – Validation against non-contact electroanatomical mapping

O Okafor (Presenting Author) – Aston University, Birmingham, UK; F Umar – University of Birmingham, Birmingham, UK; P M van Dam – University Medical Centre, Utrecht, The Netherlands; J Walton – Queen Elizabeth Hospital, Birmingham, UK; B Stegemann – Aston University, Birmingham, UK; A Zegard – Aston University, Birmingham, UK; M Kalla – Queen Elizabeth Hospital, Birmingham, UK; M Lencioni – Queen Elizabeth Hospital, Birmingham, UK; J de Bono – Queen Elizabeth Hospital, Birmingham, UK; H Marshall – Queen Elizabeth Hospital, Birmingham, UK; T Qiu – Queen Elizabeth Hospital, Birmingham, UK; Leyva – Aston University, Birmingham, UK
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Published Online: Oct 4th 2008 European Journal of Arrhythmia & Electrophysiology. 2019;5(Suppl. 1):abstr40
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Background: The cardiac isochrone positioning system (CIPS) is a novel electrocardiographic imaging (ECGi) modality that integrates 12-lead ECG, body surface imaging and cardiac magnetic resonance (CMR).

Objective: To validate CIPS against non-contact electroanatomical mapping (EAM) with respect to left ventricular (LV) activation patterns in patients undergoing cardiac resynchronisation therapy (CRT).

Methods: CRT recipients (n=16; LBBB in 12, nonspecific intraventricular conduction delay [NICD] in 4) underwent ECGi (CIPS) and EAM (Ensite, Abbott) during intrinsic and right ventricular (RV) pacing. Three independent electrophysiologists were asked to score the accuracy of early and late LV activation using CIPS against EAM (62 maps).

Results: The latest activated segment on EAM were lateral, posterior or anterior LV segments (50%, 44% and 6%, respectively). Using expert adjudication, CIPS correctly identified late LV activation during intrinsic rhythm in 13/16 (81.3%) patients (kappa coefficient: 0.88 (95% confidence intervals [CI]: 0.73–1, p<0.0001). In RV-paced rhythms, CIPS accurately identified early (95.6%) and late (97.8%) activation (kappa coefficients 0.91 (95% confidence intervals [CI] 0.78–1.00); 0.96 [95% 0.86–1.00], respectively).

Conclusion: CIPS, which is based on a 12-lead ECG, reliably identifies LV activation patterns compared to EAM. This has implications for tailoring LV lead deployment and vector selection during CRT.

 

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