The arrhythmic substrate of hypertrophic cardiomyopathy using ECG imaging

Introduction: Patients with hypertrophic cardiomyopathy (HCM) are at risk for lethal ventricular arrhythmia, but the electrophysiological substrate behind this is not well-understood. We used non-invasive electrocardiographic imaging to characterize patients with HCM, including cardiac arrest surviv...

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Main Authors: Chow, J, Leong, KMW, Shun-Shin, M, Jones, S, Guttmann, OP, Mohiddin, SA, Lambiase, P, Elliott, PM, Ormerod, JOM, Koa-Wing, M, Lefroy, D, Lim, PB, Linton, NWF, Ng, FS, Qureshi, NA, Whinnett, ZI, Peters, NS, Francis, DP, Varnava, AM, Kanagaratnam, P
Format: Journal article
Language:English
Published: Frontiers Media 2024
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author Chow, J
Leong, KMW
Shun-Shin, M
Jones, S
Guttmann, OP
Mohiddin, SA
Lambiase, P
Elliott, PM
Ormerod, JOM
Koa-Wing, M
Lefroy, D
Lim, PB
Linton, NWF
Ng, FS
Qureshi, NA
Whinnett, ZI
Peters, NS
Francis, DP
Varnava, AM
Kanagaratnam, P
author_facet Chow, J
Leong, KMW
Shun-Shin, M
Jones, S
Guttmann, OP
Mohiddin, SA
Lambiase, P
Elliott, PM
Ormerod, JOM
Koa-Wing, M
Lefroy, D
Lim, PB
Linton, NWF
Ng, FS
Qureshi, NA
Whinnett, ZI
Peters, NS
Francis, DP
Varnava, AM
Kanagaratnam, P
author_sort Chow, J
collection OXFORD
description Introduction: Patients with hypertrophic cardiomyopathy (HCM) are at risk for lethal ventricular arrhythmia, but the electrophysiological substrate behind this is not well-understood. We used non-invasive electrocardiographic imaging to characterize patients with HCM, including cardiac arrest survivors. Methods: HCM patients surviving ventricular fibrillation or hemodynamically unstable ventricular tachycardia (n = 17) were compared to HCM patients without a personal history of potentially lethal arrhythmia (n = 20) and a pooled control group with structurally normal hearts. Subjects underwent exercise testing by non-invasive electrocardiographic imaging to estimate epicardial electrophysiology. Results: Visual inspection of reconstructed epicardial HCM maps revealed isolated patches of late activation time (AT), prolonged activation-recovery intervals (ARIs), as well as reversal of apico-basal trends in T-wave inversion and ARI compared to controls (p < 0.005 for all). AT and ARI were compared between groups. The pooled HCM group had longer mean AT (60.1 ms vs. 52.2 ms, p < 0.001), activation dispersion (55.2 ms vs. 48.6 ms, p = 0.026), and mean ARI (227 ms vs. 217 ms, p = 0.016) than structurally normal heart controls. HCM ventricular arrhythmia survivors could be differentiated from HCM patients without a personal history of life-threatening arrhythmia by longer mean AT (63.2 ms vs. 57.4 ms, p = 0.007), steeper activation gradients (0.45 ms/mm vs. 0.36 ms/mm, p = 0.011), and longer mean ARI (234.0 ms vs. 221.4 ms, p = 0.026). A logistic regression model including whole heart mean activation time and activation recovery interval could identify ventricular arrhythmia survivors from the HCM cohort, producing a C statistic of 0.76 (95% confidence interval 0.72–0.81), with an optimal sensitivity of 78.6% and a specificity of 79.8%. Discussion: The HCM epicardial electrotype is characterized by delayed, dispersed conduction and prolonged, dispersed activation-recovery intervals. Combination of electrophysiologic measures with logistic regression can improve differentiation over single variables. Future studies could test such models prospectively for risk stratification of sudden death due to HCM.
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spelling oxford-uuid:77f3ccd3-e30d-473a-a7db-63a355f8f49a2024-09-13T20:03:58ZThe arrhythmic substrate of hypertrophic cardiomyopathy using ECG imagingJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:77f3ccd3-e30d-473a-a7db-63a355f8f49aEnglishJisc Publications RouterFrontiers Media2024Chow, JLeong, KMWShun-Shin, MJones, SGuttmann, OPMohiddin, SALambiase, PElliott, PMOrmerod, JOMKoa-Wing, MLefroy, DLim, PBLinton, NWFNg, FSQureshi, NAWhinnett, ZIPeters, NSFrancis, DPVarnava, AMKanagaratnam, PIntroduction: Patients with hypertrophic cardiomyopathy (HCM) are at risk for lethal ventricular arrhythmia, but the electrophysiological substrate behind this is not well-understood. We used non-invasive electrocardiographic imaging to characterize patients with HCM, including cardiac arrest survivors. Methods: HCM patients surviving ventricular fibrillation or hemodynamically unstable ventricular tachycardia (n = 17) were compared to HCM patients without a personal history of potentially lethal arrhythmia (n = 20) and a pooled control group with structurally normal hearts. Subjects underwent exercise testing by non-invasive electrocardiographic imaging to estimate epicardial electrophysiology. Results: Visual inspection of reconstructed epicardial HCM maps revealed isolated patches of late activation time (AT), prolonged activation-recovery intervals (ARIs), as well as reversal of apico-basal trends in T-wave inversion and ARI compared to controls (p < 0.005 for all). AT and ARI were compared between groups. The pooled HCM group had longer mean AT (60.1 ms vs. 52.2 ms, p < 0.001), activation dispersion (55.2 ms vs. 48.6 ms, p = 0.026), and mean ARI (227 ms vs. 217 ms, p = 0.016) than structurally normal heart controls. HCM ventricular arrhythmia survivors could be differentiated from HCM patients without a personal history of life-threatening arrhythmia by longer mean AT (63.2 ms vs. 57.4 ms, p = 0.007), steeper activation gradients (0.45 ms/mm vs. 0.36 ms/mm, p = 0.011), and longer mean ARI (234.0 ms vs. 221.4 ms, p = 0.026). A logistic regression model including whole heart mean activation time and activation recovery interval could identify ventricular arrhythmia survivors from the HCM cohort, producing a C statistic of 0.76 (95% confidence interval 0.72–0.81), with an optimal sensitivity of 78.6% and a specificity of 79.8%. Discussion: The HCM epicardial electrotype is characterized by delayed, dispersed conduction and prolonged, dispersed activation-recovery intervals. Combination of electrophysiologic measures with logistic regression can improve differentiation over single variables. Future studies could test such models prospectively for risk stratification of sudden death due to HCM.
spellingShingle Chow, J
Leong, KMW
Shun-Shin, M
Jones, S
Guttmann, OP
Mohiddin, SA
Lambiase, P
Elliott, PM
Ormerod, JOM
Koa-Wing, M
Lefroy, D
Lim, PB
Linton, NWF
Ng, FS
Qureshi, NA
Whinnett, ZI
Peters, NS
Francis, DP
Varnava, AM
Kanagaratnam, P
The arrhythmic substrate of hypertrophic cardiomyopathy using ECG imaging
title The arrhythmic substrate of hypertrophic cardiomyopathy using ECG imaging
title_full The arrhythmic substrate of hypertrophic cardiomyopathy using ECG imaging
title_fullStr The arrhythmic substrate of hypertrophic cardiomyopathy using ECG imaging
title_full_unstemmed The arrhythmic substrate of hypertrophic cardiomyopathy using ECG imaging
title_short The arrhythmic substrate of hypertrophic cardiomyopathy using ECG imaging
title_sort arrhythmic substrate of hypertrophic cardiomyopathy using ecg imaging
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