Repolarization abnormalities unmasked with a 252-lead BSM system in patients with ARVC and healthy gene carriers.


Journal

Pacing and clinical electrophysiology : PACE
ISSN: 1540-8159
Titre abrégé: Pacing Clin Electrophysiol
Pays: United States
ID NLM: 7803944

Informations de publication

Date de publication:
04 2022
Historique:
revised: 26 10 2021
received: 26 08 2021
accepted: 23 01 2022
pubmed: 26 1 2022
medline: 8 4 2022
entrez: 25 1 2022
Statut: ppublish

Résumé

Diagnosing arrhythmogenic right ventricular cardiomyopathy (ARVC) at an early stage can be challenging even after ECG recording and a combination of several imaging techniques. The purpose of this study was to explore if a body surface mapping (BSM) system with 252-leads could identify repolarization abnormalities and thereby diagnose early stages of ARVC. ARVC patients, gene carriers without signs of ARVC and controls underwent a 12-lead resting ECG, signal-averaged ECG, echocardiography, 24-hours Holter monitoring, and BSM with electrocardiographic imaging (ECGI). All 252-leads, divided into four quadrants of the vest, were analyzed regarding concordances between T wave polarity and QRS main vector. Of 40 patients included there were 12 ARVC patients, 20 gene carriers, and 8 controls. The ARVC patients had two different repolarization patterns, one with more pronounced negative T waves at the lower left panel and another with mixed changes that clearly differed from the controls, all of whom had a normal 12 lead ECGs and consistent repolarization patterns on their BSM recordings. The patterns observed in ARVC patients were also present in 5/20 (25%) gene carriers, three of whom had normal resting ECG. A novel repolarization index successfully detected all ARVC patients and 88% of gene carriers with pathologic repolarization pattern. The finding that abnormal repolarization patterns could be unmasked by BSM in 25% of healthy gene carriers, suggests that it may potentially be a useful tool for identifying early manifestations of ARVC. Further and larger studies are warranted to assess its diagnostic accuracy.

Sections du résumé

BACKGROUND
Diagnosing arrhythmogenic right ventricular cardiomyopathy (ARVC) at an early stage can be challenging even after ECG recording and a combination of several imaging techniques. The purpose of this study was to explore if a body surface mapping (BSM) system with 252-leads could identify repolarization abnormalities and thereby diagnose early stages of ARVC.
METHODS
ARVC patients, gene carriers without signs of ARVC and controls underwent a 12-lead resting ECG, signal-averaged ECG, echocardiography, 24-hours Holter monitoring, and BSM with electrocardiographic imaging (ECGI). All 252-leads, divided into four quadrants of the vest, were analyzed regarding concordances between T wave polarity and QRS main vector.
RESULTS
Of 40 patients included there were 12 ARVC patients, 20 gene carriers, and 8 controls. The ARVC patients had two different repolarization patterns, one with more pronounced negative T waves at the lower left panel and another with mixed changes that clearly differed from the controls, all of whom had a normal 12 lead ECGs and consistent repolarization patterns on their BSM recordings. The patterns observed in ARVC patients were also present in 5/20 (25%) gene carriers, three of whom had normal resting ECG. A novel repolarization index successfully detected all ARVC patients and 88% of gene carriers with pathologic repolarization pattern.
CONCLUSIONS
The finding that abnormal repolarization patterns could be unmasked by BSM in 25% of healthy gene carriers, suggests that it may potentially be a useful tool for identifying early manifestations of ARVC. Further and larger studies are warranted to assess its diagnostic accuracy.

Identifiants

pubmed: 35077593
doi: 10.1111/pace.14456
pmc: PMC9314798
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

509-518

Informations de copyright

© 2022 The Authors. Pacing and Clinical Electrophysiology published by Wiley Periodicals LLC.

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Auteurs

Varvara Kommata (V)

Department of Cardiology and Medical Science, Uppsala University, Uppsala, Sweden.

Elena Sciaraffia (E)

Department of Cardiology and Medical Science, Uppsala University, Uppsala, Sweden.

Carina Blomström-Lundqvist (C)

Department of Cardiology and Medical Science, Uppsala University, Uppsala, Sweden.

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