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Predictive risk models for forecasting arrhythmic outcomes in Brugada syndrome: A focused review

Chung, Cheuk To, Bazoukis, George, Radford, Danny, Coakley-Youngs, Emma, Rajan, Rajesh, Matusik, Paweł T, Liu, Tong, Letsas, Konstantinos P, Lee, Sharen, Tse, Gary and others. (2022) Predictive risk models for forecasting arrhythmic outcomes in Brugada syndrome: A focused review. Journal of Electrocardiology, 72 . pp. 28-34. ISSN 1532-8430. (doi:10.1016/j.jelectrocard.2022.02.009) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:93759)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
https://doi.org/10.1016/j.jelectrocard.2022.02.009

Abstract

Brugada syndrome (BrS) is a rare disorder characterized by coved or saddle-shaped ST-segment elevation in the right precordial leads on the electrocardiogram. Risk stratification in BrS remains challenging. A number of clinical, electrocardiographic, programmed ventricular stimulation and genetic risk factors have been identified as important predictors of future major arrhythmic events. There is a positive association between the number of risk factors and arrhythmic events. Hence, a multi-parametric approach would provide comprehensive risk assessment and more accurate risk stratification, assisting in therapeutic decisions making, including implantable cardioverter-defibrillator placement or identification of low-risk individuals. However, the extent to which each variable influences the risk and non-linear interactions between the different risk variables make risk stratification challenging. This paper aims to provide a focused review of the multi-parametric risk models for BrS risk stratification published in the literature.

Item Type: Article
DOI/Identification number: 10.1016/j.jelectrocard.2022.02.009
Additional information: ** From PubMed via Jisc Publications Router ** History: received 09-01-2022; revised 19-02-2022; accepted 20-02-2022.
Uncontrolled keywords: Risk stratification, Brugada syndrome, Repolarization, Depolarization
Subjects: R Medicine
Divisions: Divisions > Division of Natural Sciences > Medway School of Pharmacy
Funders: University of Kent (https://ror.org/00xkeyj56)
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 22 Nov 2022 15:38 UTC
Last Modified: 23 Nov 2022 16:03 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/93759 (The current URI for this page, for reference purposes)
Tse, Gary: https://orcid.org/0000-0001-5510-1253
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