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Chow JJ, 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. Front Physiol 2024; 15:1428709. [PMID: 39206383 PMCID: PMC11350108 DOI: 10.3389/fphys.2024.1428709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Accepted: 07/17/2024] [Indexed: 09/04/2024] Open
Abstract
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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Affiliation(s)
- Ji-Jian Chow
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Kevin M. W. Leong
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Matthew Shun-Shin
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Sian Jones
- Cardiology Department, Imperial College Healthcare NHS Trust, London, United Kingdom
| | | | - Saidi A. Mohiddin
- Cardiology Department, Barts Heart Centre, London, United Kingdom
- Cardiology Department, Queen Mary, University of London, London, United Kingdom
| | - Pier Lambiase
- Cardiology Department, Barts Heart Centre, London, United Kingdom
| | - Perry M. Elliott
- Cardiology Department, Barts Heart Centre, London, United Kingdom
| | - Julian O. M. Ormerod
- Cardiology Department, Oxford University Hospitals NHS Trust, Oxford, United Kingdom
| | - Michael Koa-Wing
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - David Lefroy
- Cardiology Department, Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Phang Boon Lim
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | | | - Fu Siong Ng
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Norman A. Qureshi
- Cardiology Department, Imperial College Healthcare NHS Trust, London, United Kingdom
| | | | - Nicholas S. Peters
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Darrel P. Francis
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Amanda M. Varnava
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Prapa Kanagaratnam
- National Heart and Lung Institute, Imperial College, London, United Kingdom
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Syncope in hypertrophic cardiomyopathy (part I): An updated systematic review and meta-analysis. Int J Cardiol 2022; 357:88-94. [PMID: 35304190 DOI: 10.1016/j.ijcard.2022.03.028] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 03/02/2022] [Accepted: 03/11/2022] [Indexed: 12/30/2022]
Abstract
AIMS To describe the proportion of patients with syncope among those affected by hypertrophic cardiomyopathy (HCM) and the relevance of syncope as risk factor for sudden cardiac death and life-threatening arrhythmic events. METHOD AND RESULTS Systematic review of original articles that assessed syncope in HCM patients. Literature search of PubMed including all English publications from 1973 to 2021.We found 57 articles for a total of 21.791 patients; of these, 14 studies reported on arrhythmic events in the follow-up. Syncope was reported in 15.8% (3.452 of 21.791) patients. It was considered unexplained in 91% of cases. Life-threatening arrhythmic events occurred in 3.6% of non-syncopal patients and in 7.7% of syncopal patients during a mean follow-up of 5.6 years. A relative risk of 1.99 (95%CI 1.39 to 2.86) was estimated for syncope patients by the random effect model using Haldane continuity correction for 0 events. CONCLUSIONS In the current practice, the cause of syncope remained unexplained in most patients affected by HCM. The management of patients seems mainly driven by risk stratification rather than identification of the aetiology of syncope. There is a need of precise instructions how to apply the recommendations of current guidelines to this disease, which tests are indicated and how to interpret their findings. The protocol was registered in Prospero (ID: 275963).
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Yuki H, Utsunomiya D, Shiraishi S, Takashio S, Sakamoto F, Tsuda N, Oda S, Kidoh M, Nakaura T, Tsujita K, Yamashita Y. Correlation of left ventricular dyssynchrony on gated myocardial perfusion SPECT analysis with extent of late gadolinium enhancement on cardiac magnetic resonance imaging in hypertrophic cardiomyopathy. Heart Vessels 2017; 33:623-629. [DOI: 10.1007/s00380-017-1104-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Accepted: 12/08/2017] [Indexed: 10/18/2022]
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Quinteiro RA, Biagetti MO, Fernandez A, Borzone FR, Gargano A, Casabe HJ. Can QT/RR relationship differentiate between low- and high-risk patients with hypertrophic cardiomyopathy? Ann Noninvasive Electrocardiol 2015; 20:386-93. [PMID: 25639818 DOI: 10.1111/anec.12230] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Abnormal dynamicity of repolarization is considered to be a marker of myocardial vulnerability contributing to increased risk of arrhythmic events and sudden death. However, little is known about QT dynamics in hypertrophic cardiomyopathy (HCM). In this study, we aimed to evaluate ventricular repolarization by QT dynamicity in patients with HCM, focusing on its value to define if it is able to differentiate among low- and high-risk HCM patients. METHODS The linear regression slopes of the QT interval, measured to the apex and to the end of the T wave plotted against RR intervals (QTapex/RR and QTend/RR slopes, respectively) were calculated from 24-hour Holter recordings using a standard algorithm in 36 HCM patients and 64 control subjects. RESULTS QTapex/RR and QTend/RR slopes were significantly steeper in the HCM patients in contrary to healthy control subjects (QTapex/RR = 0.22 + 0.08 vs 0.20 + 0.05, P = 0.0367; QTend/RR = 0.25 + 0.10 vs 0.20 + 0.06, P = 0.023). Moreover, the slopes of QTend/RR and QTapex/RR of high-risk patients were significantly steeper than those of control subjects while no significant differences were found among low-risk HCM patients and control subjects and only QTe/RR of high-risk patients was significantly different between low- and high-risk HCM patients. CONCLUSIONS Our study results suggest that QT dynamicity is impaired in patients with HCM and may help to differentiate among low- and high-risk patients. Further studies are needed to elucidate the prognostic significance and clinical implications of impaired ventricular repolarization in patients with HCM.
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Affiliation(s)
- Ricardo A Quinteiro
- Cardiac Electrophysiology Laboratory, Favaloro University, Buenos Aires, Argentina
| | - Marcelo O Biagetti
- Cardiac Electrophysiology Laboratory, Favaloro University, Buenos Aires, Argentina
| | - Adrian Fernandez
- the Cardiology Division of the University Hospital, Favaloro University, Buenos Aires, Argentina
| | - Francisco R Borzone
- Cardiac Electrophysiology Laboratory, Favaloro University, Buenos Aires, Argentina
| | - Agustina Gargano
- the Cardiology Division of the University Hospital, Favaloro University, Buenos Aires, Argentina
| | - Horacio J Casabe
- the Cardiology Division of the University Hospital, Favaloro University, Buenos Aires, Argentina
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Kaya CT, Gurlek A, Altin T, Kilickap M, Karabulut HG, Turhan S, Ozcan O, Bokesoy I, Oral D, Erol C. The relationship between angiotensin converting enzyme gene I/D polymorphism and QT dispersion in patients with hypertrophic cardiomyopathy. J Renin Angiotensin Aldosterone Syst 2010; 11:192-7. [PMID: 20478904 DOI: 10.1177/1470320310368190] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION Hypertrophic cardiomyopathy (HCM) is characterized by disorganized myocardial architecture, and may cause ventricular arrhythmias and sudden death. The angiotensin-converting enzyme (ACE) with two deletion alleles (DD genotype) has been proposed to be associated with increased myocardial collagen content. We evaluated QT dispersion (QTd), which reflects regional differences in ventricular repolarization, in HCM patient and controls among the three different ACE genotypes. MATERIALS AND METHODS Sixty-three patients with HCM and 20 healthy subjects were included in the study. QT parameters were measured from 12 lead electrocardiograms. ACE genotypes were determined from the DNA extracted from peripheral blood by a polymerase chain reaction (PCR) method. QT parameters were compared among the three ACE genotypes both in HCM patients and controls. RESULTS Median ages were similar in HCM and control groups. QTd and corrected QTd (QTcd) were significantly greater in the HCM group compared with the controls. The frequencies of each genotype were similar in both groups. Although QTd and QTcd did not differ among the three genotypes in the control subjects, they were significantly greater in patients with DD genotype compared with other genotypes in the HCM group. CONCLUSION QTd and QTcd are increased in patients with HCM, especially in those with the DD genotype.
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Affiliation(s)
- Cansin Tulunay Kaya
- Departments of Cardiology, Ankara University School of Medicine, Ankara, Turkey
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Diagnostic accuracy of extended-length electrocardiogram in differentiating between athlete's heart and hypertrophic cardiomyopathy. J Electrocardiol 2009; 42:636-41. [DOI: 10.1016/j.jelectrocard.2009.06.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2009] [Indexed: 11/21/2022]
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Giaccardi M, Camilli G, Colella A, Giannotti F, Koffi E, Lova RM, Macchi C, Gensini GF, Padeletti L, Michelucci A. XL-ECG in athlete's physiological heart hypertrophy: A time saving procedure. Int J Cardiol 2008; 124:112-4. [PMID: 17412437 DOI: 10.1016/j.ijcard.2006.11.201] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2006] [Accepted: 11/18/2006] [Indexed: 11/16/2022]
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Schirdewan A, Gapelyuk A, Fischer R, Koch L, Schütt H, Zacharzowsky U, Dietz R, Thierfelder L, Wessel N. Cardiac magnetic field map topology quantified by Kullback-Leibler entropy identifies patients with hypertrophic cardiomyopathy. CHAOS (WOODBURY, N.Y.) 2007; 17:015118. [PMID: 17411275 DOI: 10.1063/1.2432059] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Hypertrophic cardiomyopathy (HCM) is a common primary inherited cardiac muscle disorder, defined clinically by the presence of unexplained left ventricular hypertrophy. The detection of affected patients remains challenging. Genetic testing is limited because only in 50%-60% of all HCM diagnoses an underlying mutation can be found. Furthermore, the disease has a varied clinical course and outcome, with many patients having little or no discernible cardiovascular symptoms, whereas others develop profound exercise limitation and recurrent arrhythmias or sudden cardiac death. Therefore prospective screening of HCM family members is strongly recommended. According to the current guidelines this includes serial echocardiographic and electrocardiographic examinations. In this study we investigated the capability of cardiac magnetic field mapping (CMFM) to detect patients suffering from HCM. We introduce for the first time a combined diagnostic approach based on map topology quantification using Kullback-Leibler (KL) entropy and regional magnetic field strength parameters. The cardiac magnetic field was recorded over the anterior chest wall using a multichannel-LT-SQUID system. CMFM was calculated based on a regular 36 point grid. We analyzed CMFM in patients with confirmed diagnosis of HCM (HCM, n=33, 43.8+/-13 years, 13 women, 20 men), a control group of healthy subjects (NORMAL, n=57, 39.6+/-8.9 years; 22 women and 35 men), and patients with confirmed cardiac hypertrophy due to arterial hypertension (HYP, n=42, 49.7+/-7.9 years, 15 women and 27 men). A subgroup analysis was performed between HCM patients suffering from the obstructive (HOCM, n=19) and nonobstructive (HNCM, n=14) form of the disease. KL entropy based map topology quantification alone identified HCM patients with a sensitivity of 78.8% and specificity of 86.9% (overall classification rate 84.8%). The combination of the KL parameters with a regional field strength parameter improved the overall classification rate to 87.9% (sensitivity: 84.8%, specificity: 88.9%, area under ROC curve: 0.94). KL measures applied to discriminate between HOCM and HNCM patients showed a correct classification of 78.8%. The combination of one KL and one regional parameter again improved the overall classification rate to 97%. A preliminary prospective analysis in two HCM families showed the feasibility of this diagnostic approach with a correct diagnosis of all 22 screened family members (1 HOCM, 4 HNCM, 17 normal). In conclusion, Cardiac Magnetic Field Mapping including KL entropy based topology quantifications is a suitable tool for HCM screening.
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Affiliation(s)
- A Schirdewan
- Medical Faculty of the Charité, Franz-Volhard-Klinik, Helios Klinikum-Berlin, Wiltbergstr. 50, D-13125 Berlin, Germany.
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Kamei K, Maehara K, Kimura J, Ishibashi T, Maruyama Y. Comprehensive Analyses of Arrhythmogenic Substrates and Vulnerability to Ventricular Tachycardia in Left Ventricular Hypertrophy in Salt-Sensitive Hypertensive Rats. Circ J 2007; 71:390-6. [PMID: 17322641 DOI: 10.1253/circj.71.390] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND The contribution of conduction disturbances to susceptibility to ventricular tachycardia (VT) has not been directly examined in the process of left ventricular hypertrophy (LVH). METHODS AND RESULTS Dahl salt-sensitive (S) and -resistant rats were raised on a high-salt diet. After echocardiography, a fractionation study was conducted using wavelet transform analysis, which reflects conduction disturbances, recording of monophasic action potential (MAP), measurement of conduction velocity, and programmed extrastimuli for the induction of VT, as well as patch-clamp analysis at 10, 13 and 16 weeks (W) (n=7, each). Systolic blood pressure, wall thickness and MAP duration significantly increased at 10W in S rats, whereas conduction velocity decreased and MAP duration and the power of wavelet transform increased at 13W and 16W. Paired extrastimuli induced polymorphic VT only at 13W and 16W in S rats. VT frequency correlated inversely with conduction velocity and positively with MAP duration. Power of wavelet transform correlated negatively with conduction velocity and positively with VT vulnerability. The patch-clamp study revealed that the action potential duration significantly increased in S rats with aging, and correlated with MAP duration. CONCLUSIONS Latently progressing slow and inhomogeneous conduction, as well as a repolarization abnormality, may contribute to VT vulnerability in hypertensive LVH.
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Affiliation(s)
- Kenichi Kamei
- First Department of Internal Medicine, Fukushima Medical University, Fukushima, Japan
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