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Risk Stratification in Brugada Syndrome: Current Status and Emerging Approaches.

ABSTRACT: Brugada syndrome (BrS) is one of the most common inherited channelopathies associated with an increased risk of sudden cardiac death. Appropriate use of an ICD in high-risk patients is life-saving. However, there remains a lack of consensus on risk stratification, and even on the diagnosis of BrS itself. Some argue that people with a type 1 Brugada ECG pattern but no symptoms should not be diagnosed with BrS, and guidelines recommend observation without therapy in these patients. Others argue that the presence of a spontaneous (rather than drug-induced) type 1 ECG pattern alone is enough to label them as high-risk for arrhythmic events, particularly if syncope is also present. Syncope and a spontaneous type 1 ECG pattern are the only factors that have consistently been shown to predict ventricular arrhythmic events and sudden cardiac death. Other markers have yielded conflicting data. However, in combination they may have roles in risk scoring models. Epicardial catheter ablation in the right ventricular outflow tract has shown promise in studies as an alternative management option to an ICD, but longer follow-up is required to ensure that the ablation effect is permanent.

SUBMITTER: Honarbakhsh S

PROVIDER: S-EPMC6020188 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Risk Stratification in Brugada Syndrome: Current Status and Emerging Approaches.

Honarbakhsh Shohreh S Providencia Rui R Lambiase Pier D PD

Arrhythmia & electrophysiology review 20180601 2

Brugada syndrome (BrS) is one of the most common inherited channelopathies associated with an increased risk of sudden cardiac death. Appropriate use of an ICD in high-risk patients is life-saving. However, there remains a lack of consensus on risk stratification, and even on the diagnosis of BrS itself. Some argue that people with a type 1 Brugada ECG pattern but no symptoms should not be diagnosed with BrS, and guidelines recommend observation without therapy in these patients. Others argue th ...[more]

PMID: 29967678

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Project description:Background A combination of clinical and electrocardiographic risk factors is used for risk stratification in Brugada syndrome. In this study, we tested the hypothesis that the incorporation of latent variables between variables using nonnegative matrix factorization can improve risk stratification compared with logistic regression. Methods and Results This was a retrospective cohort study of patients presented with Brugada electrocardiographic patterns between 2000 and 2016 from Hong Kong, China. The primary outcome was spontaneous ventricular tachycardia/ventricular fibrillation. The external validation cohort included patients from 3 countries. A total of 149 patients with Brugada syndrome (84% males, median age of presentation 50 [38-61] years) were included. Compared with the nonarrhythmic group (n=117, 79%), the spontaneous ventricular tachycardia/ ventricular fibrillation group (n=32, 21%) were more likely to suffer from syncope (69% versus 37%, P=0.001) and atrial fibrillation (16% versus 4%, P=0.023) as well as displayed longer QTc intervals (424 [399-449] versus 408 [386-425]; P=0.020). No difference in QRS interval was observed (108 [98-114] versus 102 [95-110], P=0.104). Logistic regression found that syncope (odds ratio, 3.79; 95% CI, 1.64-8.74; P=0.002), atrial fibrillation (odds ratio, 4.15; 95% CI, 1.12-15.36; P=0.033), QRS duration (odds ratio, 1.03; 95% CI, 1.002-1.06; P=0.037) and QTc interval (odds ratio, 1.02; 95% CI, 1.01-1.03; P=0.009) were significant predictors of spontaneous ventricular tachycardia/ventricular fibrillation. Increasing the number of latent variables of these electrocardiographic indices incorporated from n=0 (logistic regression) to n=6 by nonnegative matrix factorization improved the area under the curve of the receiving operating characteristics curve from 0.71 to 0.80. The model improves area under the curve of external validation cohort (n=227) from 0.64 to 0.71. Conclusions Nonnegative matrix factorization improves the predictive performance of arrhythmic outcomes by extracting latent features between different variables.

Dataset Information

Risk Stratification in Brugada Syndrome: Current Status and Emerging Approaches.

Publications

Risk Stratification in Brugada Syndrome: Current Status and Emerging Approaches.

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