Predictive risk models for forecasting arrhythmic outcomes in Brugada syndrome: A focused review
Journal article
Chung, Cheuk To, Bazoukis, George, Radford, Danny, Coakley-Youngs, Emma, Rajan, Rajesh, Matusik, Paweł T, Liu, Tong, Letsas, Konstantinos P, Lee, Sharen and Tse, Gary 2022. Predictive risk models for forecasting arrhythmic outcomes in Brugada syndrome: A focused review. Journal of Electrocardiology. 72, pp. 28-34. https://doi.org/10.1016/j.jelectrocard.2022.02.009
Authors | Chung, Cheuk To, Bazoukis, George, Radford, Danny, Coakley-Youngs, Emma, Rajan, Rajesh, Matusik, Paweł T, Liu, Tong, Letsas, Konstantinos P, Lee, Sharen and Tse, Gary |
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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. [Abstract copyright: Copyright © 2022 Elsevier Inc. All rights reserved.] |
Keywords | Risk stratification; Brugada syndrome; Repolarization; Depolarization |
Year | 2022 |
Journal | Journal of Electrocardiology |
Journal citation | 72, pp. 28-34 |
Publisher | Elsevier |
ISSN | 0022-0736 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.jelectrocard.2022.02.009 |
Official URL | https://www.sciencedirect.com/science/article/abs/pii/S0022073622000310?via%3Dihub |
Publication dates | |
Online | 02 Mar 2022 |
Publication process dates | |
Accepted | 20 Feb 2022 |
Deposited | 30 Mar 2022 |
Accepted author manuscript | License File Access Level Open |
Output status | Published |
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https://repository.canterbury.ac.uk/item/90w60/predictive-risk-models-for-forecasting-arrhythmic-outcomes-in-brugada-syndrome-a-focused-review
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Accepted author manuscript
BrS Risk stratification review 20220220 - GT.pdf | ||
License: CC BY-NC-ND 4.0 | ||
File access level: Open |
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