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Meta-Analysis of Risk Stratification of SCN5A With Brugada Syndrome: Is SCN5A Always a Marker of Low Risk?

ABSTRACT: Background: SCN5A with Brugada syndrome (BrS) is not commonly considered as an independent risk marker for subsequent cardiac events. However, the risk of SCN5A combined with other clinical characteristics has not been fully investigated. Objectives: The aim of this study is to investigate and evaluate risk stratification and related risk factors of SCN5A in BrS. Methods: The databases of PubMed, EMBASE, Cochrane Library, MEDLINE, Chinese National Knowledge Infrastructure (CNKI) and Wanfang Data were searched for related studies published from January 2002 to May 2018 followed by meta-analysis. The BrS patients who underwent SCN5A gene tests were included. The prognosis and risk stratification of SCN5A combined with symptoms and asymptoms diagnosis in BrS, electrophysiology study (EPS) were then investigated and evaluated. Outcomes were defined as ventricular tachycardia/fibrillation (VT/VF), sudden cardiac death (SCD). Results: Eleven suitable studies involving 1892 BrS patients who underwent SCN5A gene tests were identified. SCN5A (+) was not considered to be a significant predictor of future cardiac events (95% CI: 0.89-2.11; P = 0.15; I 2 = 0%). However, SCN5A (+) patients with symptoms at diagnosis revealed a higher prevalence of future VT/VF, SCD compared to SCN5A (-) patients with symptoms at diagnosis. (95% CI: 1.06-3.70; P = 0.03 I 2 = 0%) Among asymptomatic patients, the risk did not significantly differ between SCN5A (+) patients and SCN5A (-) patients. (95% CI: 0.51-4.72; P = 0.45 I 2 = 0 %). In an investigation involving patients in EPS (-) BrS electrocardiogram (ECG), the risk of SCN5A (+) is higher than that of SCN5A (-) (P < 0.001). Conclusions: In BrS patients with symptoms at diagnosis or EPS (-), the meta-analysis suggests that SCN5A (+) are at a higher risk of arrhythmic events than SCN5A (-).

SUBMITTER: Yang Y

PROVIDER: S-EPMC6389868 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Meta-Analysis of Risk Stratification of SCN5A With Brugada Syndrome: Is SCN5A Always a Marker of Low Risk?

Yang Yihan Y Hu Dan D Sacher Frederic F Kusano Kengo F KF Li Xinye X Barajas-Martinez Hector H Hocini Mélèze M Li Yanda Y Gao Yonghong Y Shang Hongcai H Xing Yanwei Y

Frontiers in physiology 20190219

Background: SCN5A with Brugada syndrome (BrS) is not commonly considered as an independent risk marker for subsequent cardiac events. However, the risk of SCN5A combined with other clinical characteristics has not been fully investigated. Objectives: The aim of this study is to investigate and evaluate risk stratification and related risk factors of SCN5A in BrS. Methods: The databases of PubMed, EMBASE, Cochrane Library, MEDLINE, Chinese National Knowle ...[more]

PMID: 30837887

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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.

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Meta-Analysis of Risk Stratification of SCN5A With Brugada Syndrome: Is SCN5A Always a Marker of Low Risk?

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Meta-Analysis of Risk Stratification of SCN5A With Brugada Syndrome: Is SCN5A Always a Marker of Low Risk?

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