Literature DB >> 29091329

Repolarization abnormalities unmasked with exercise in sudden cardiac death survivors with structurally normal hearts.

Kevin M W Leong1,2, Fu Siong Ng1,2, Caroline Roney1, Christopher Cantwell1, Matthew J Shun-Shin1, Nicholas W F Linton1, Zachary I Whinnett1,2, David C Lefroy2, D Wyn Davies2, Sian E Harding1, Phang Boon Lim1,2, Darrel Francis1, Nicholas S Peters1,2, Amanda M Varnava2, Prapa Kanagaratnam1,2.   

Abstract

BACKGROUND: Models of cardiac arrhythmogenesis predict that nonuniformity in repolarization and/or depolarization promotes ventricular fibrillation and is modulated by autonomic tone, but this is difficult to evaluate in patients. We hypothesize that such spatial heterogeneities would be detected by noninvasive ECG imaging (ECGi) in sudden cardiac death (SCD) survivors with structurally normal hearts under physiological stress.
METHODS: ECGi was applied to 11 SCD survivors, 10 low-risk Brugada syndrome patients (BrS), and 10 controls undergoing exercise treadmill testing. ECGi provides whole heart activation maps and >1,200 unipolar electrograms over the ventricular surface from which global dispersion of activation recovery interval (ARI) and regional delay in conduction were determined. These were used as surrogates for spatial heterogeneities in repolarization and depolarization. Surface ECG markers of dispersion (QT and Tpeak-end intervals) were also calculated for all patients for comparison.
RESULTS: Following exertion, the SCD group demonstrated the largest increase in ARI dispersion compared to BrS and control groups (13 ± 8 ms vs. 4 ± 7 ms vs. 4 ± 5 ms; P = 0.009), with baseline dispersion being similar in all groups. In comparison, surface ECG markers of dispersion of repolarization were unable to discriminate between the groups at baseline or following exertion. Spatial heterogeneities in conduction were also present following exercise but were not significantly different between SCD survivors and the other groups.
CONCLUSION: Increased dispersion of repolarization is apparent during physiological stress in SCD survivors and is detectable with ECGi but not with standard ECG parameters. The electrophysiological substrate revealed by ECGi could be the basis of alternative risk-stratification techniques.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  ECGi; channelopathies; exercise; noninvasive electrocardiographic imaging; repolarization; sudden cardiac death

Mesh:

Year:  2017        PMID: 29091329     DOI: 10.1111/jce.13375

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  8 in total

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Authors:  Gary Tse; Sharen Lee; Mengqi Gong; Panagiotis Mililis; Dimitrios Asvestas; George Bazoukis; Leonardo Roever; Kamalan Jeevaratnam; Sandeep S Hothi; Ka Hou Christien Li; Tong Liu; Konstantinos P Letsas
Journal:  J Interv Card Electrophysiol       Date:  2019-12-14       Impact factor: 1.900

Review 2.  High risk electrocardiographic markers in Brugada syndrome.

Authors:  Dimitrios Asvestas; Gary Tse; Adrian Baranchuk; George Bazoukis; Tong Liu; Athanasios Saplaouras; Panagiotis Korantzopoulos; Christina Goga; Michael Efremidis; Antonios Sideris; Konstantinos P Letsas
Journal:  Int J Cardiol Heart Vasc       Date:  2018-03-08

3.  Tpeak-Tend, Tpeak-Tend/QT ratio and Tpeak-Tend dispersion for risk stratification in Brugada Syndrome: A systematic review and meta-analysis.

Authors:  Gary Tse; Mengqi Gong; Christien Ka Hou Li; Keith Sai Kit Leung; Stamatis Georgopoulos; George Bazoukis; Konstantinos P Letsas; Abhishek C Sawant; Giacomo Mugnai; Martin C S Wong; Gan Xin Yan; Pedro Brugada; Gian-Battista Chierchia; Carlo de Asmundis; Adrian Baranchuk; Tong Liu
Journal:  J Arrhythm       Date:  2018-09-10

4.  Effects of Heart Rate and Ventricular Wall Thickness on Non-invasive Mapping: An in silico Study.

Authors:  Erick Andres Perez Alday; Dominic G Whittaker; Alan P Benson; Michael A Colman
Journal:  Front Physiol       Date:  2019-04-05       Impact factor: 4.566

5.  Different habitus but similar electrocardiogram: Cardiac repolarization parameters in children - Comparison of elite athletes to obese children.

Authors:  Christian Paech; Janina Moser; Ingo Dähnert; Franziska Wagner; Roman Antonin Gebauer; Toralf Kirsten; Mandy Vogel; Wieland Kiess; Antje Körner; Bernd Wolfarth; Jan Wüstenfeld
Journal:  Ann Pediatr Cardiol       Date:  2019 Sep-Dec

6.  Non-invasive detection of exercise-induced cardiac conduction abnormalities in sudden cardiac death survivors in the inherited cardiac conditions.

Authors:  Kevin Ming Wei Leong; Fu Siong Ng; Matthew J Shun-Shin; Michael Koa-Wing; Norman Qureshi; Zachary I Whinnett; Nick F Linton; David Lefroy; Darrel P Francis; Sian E Harding; D Wyn Davies; Nicholas S Peter; Phang Boon Lim; Elijah Behr; Pier D Lambiase; Amanda Varnava; Prapa Kanagaratnam
Journal:  Europace       Date:  2021-02-05       Impact factor: 5.214

7.  Ventricular Tachyarrhythmia Risk in Paediatric/Young vs. Adult Brugada Syndrome Patients: A Territory-Wide Study.

Authors:  Sharen Lee; Wing Tak Wong; Ian Chi Kei Wong; Chloe Mak; Ngai Shing Mok; Tong Liu; Gary Tse
Journal:  Front Cardiovasc Med       Date:  2021-06-11

8.  Incorporating Latent Variables Using Nonnegative Matrix Factorization Improves Risk Stratification in Brugada Syndrome.

Authors:  Gary Tse; Jiandong Zhou; Sharen Lee; Tong Liu; George Bazoukis; Panagiotis Mililis; Ian C K Wong; Cheng Chen; Yunlong Xia; Tsukasa Kamakura; Takeshi Aiba; Kengo Kusano; Qingpeng Zhang; Konstantinos P Letsas
Journal:  J Am Heart Assoc       Date:  2020-11-10       Impact factor: 5.501

  8 in total

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