Key result
History of VA, syncope, and spontaneous type 1 ECG predict arrhythmic events in Brugada syndrome.
Why the study?
What are the predictors of arrhythmic events in patients with Brugada syndrome?
What are the predictors of arrhythmic events in patients with Brugada syndrome?
Multiparametric approaches evaluating specific clinical factors and ECG features may improve risk stratification in Brugada syndrome patients without previous cardiac arrest.
Supports multiparametric risk stratification using history and ECG in Brugada syndrome; leaves open roles of family history, SCN5A, and PES.
Brugada syndrome is an arrhythmogenic disease associated with sudden cardiac death due to ventricular arrhythmias. The risk stratification of patients without previous cardiac arrest remains the most controversial issue, especially for asymptomatic individuals, in Brugada syndrome. We review the recent data of several clinical, electrocardiographic, and electrophysiological parameters proposed for risk stratification. A history of documented fatal ventricular arrhythmias or aborted sudden cardiac death and/or arrhythmogenic syncope is a predictor of arrhythmic events, whereas the prognostic value of a familial history of sudden cardiac death and the presence of an SCN5A mutation are not well defined. On the electrocardiographic features, the spontaneous type 1 electrocardiogram (ECG) is associated with the risk for arrhythmic events in most of the studies, whereas early repolarization and fragmented QRS increases the risk in some studies. Late potentials using signal-averaged ECG and microscopic T-wave alternans indicate some available results in small studies that should be validated. The prognostic value of programmed electrical stimulation during electrophysiological study as a risk marker also remains controversial. A less aggressive protocol of programmed electrical stimulation may be preferable for risk stratification in the Brugada syndrome patients without previous cardiac arrest. Multiparametric approaches evaluating specific clinical factors and ECG may improve risk stratification.
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Takagi et al. (2018) conducted a review in Brugada syndrome. Risk stratification parameters was evaluated on Arrhythmic events. History of ventricular arrhythmias or syncope and spontaneous type 1 ECG predict arrhythmic events in Brugada syndrome, while the value of family history, SCN5A mutation, and PES remain controversial.
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