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Repolarisation abnormalities unmasked with a 252-lead BSM system in patients with ARVC and healthy Gene Carriers

Authors :
Kommata, Varvara
Sciaraffia, Elena
Blomström-Lundqvist, Carina
Kommata, Varvara
Sciaraffia, Elena
Blomström-Lundqvist, Carina
Publication Year :
2022

Abstract

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.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1349215796
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1111.pace.14456