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Comparing the performance of published risk scores in Brugada syndrome: a multi-center cohort study

Lee, Sharen, Zhou, Jiandong, Chung, Cheuk To, Lee, Rebecca On Yu, Bazoukis, George, Letsas, Konstantinos P, Wong, Wing Tak, Wong, Ian Chi Kei, Mok, Ngai Shing, Liu, Tong, and others. (2022) Comparing the performance of published risk scores in Brugada syndrome: a multi-center cohort study. Current Problems in Cardiology, . Article Number 101381. ISSN 0146-2806. (doi:10.1016/j.cpcardiol.2022.101381) (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:96730)

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.cpcardiol.2022.101381

Abstract

The management of Brugada Syndrome (BrS) patients at intermediate risk of arrhythmic events remains controversial. This study evaluated the predictive performance of published risk scores in a cohort of BrS patients from Hong Kong (N=548) and its intermediate risk subgroup (N=274). A novel risk score developed by modifying the best performing existing score (by. Sieira et al.) showed an area under the curve of 0.855 and 0.760 for the whole BrS cohort and the intermediate risk subgroup, respectively. The performance of the different scores was significantly improved machine learning-based methods, such as random survival forests and gradient boosting classifier.

Item Type: Article
DOI/Identification number: 10.1016/j.cpcardiol.2022.101381
Additional information: ** Article version: AM ** From Elsevier via Jisc Publications Router ** History: issued 02-09-2022. ** Licence for AM version of this article starting on 27-08-2022: http://creativecommons.org/licenses/by/4.0/
Uncontrolled keywords: Brugada syndromeris; riskstratification;risk score;ventricular arrhythmias
Subjects: R Medicine
Divisions: Divisions > Division of Natural Sciences > Kent and Medway Medical School
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 16 Sep 2022 16:04 UTC
Last Modified: 16 Sep 2022 16:04 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/96730 (The current URI for this page, for reference purposes)
Tse, Gary: https://orcid.org/0000-0001-5510-1253
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