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[Risk stratification in Brugada syndrome].
Pietro Delise1, Giuseppe Allocca, Elena Marras
1U.O.di Cardiologia, Ospedale di Conegliano (TV). pietro.delise@libero.it
Giornale Italiano Di Cardiologia (2006)
|June 22, 2011
Summary
Brugada syndrome management is complex. A combined approach using clinical data and electrophysiological study (EPS) results effectively identifies high-risk patients with spontaneous type 1 ECG and multiple risk factors.
Area of Science:
- Cardiology
- Electrophysiology
- Genetics
Context:
- Brugada syndrome, characterized by a type 1 electrocardiogram (ECG) pattern, poses a risk of malignant ventricular arrhythmias.
- Management strategies for patients with Brugada syndrome, particularly asymptomatic individuals or those without a history of cardiac arrest, remain controversial.
- The prognostic value of electrophysiological study (EPS) in risk stratification for Brugada syndrome is debated.
Purpose:
- To evaluate the effectiveness of a multiparametric approach combining clinical data and EPS results for risk stratification in patients with type 1 Brugada ECG.
- To identify clinical factors and EPS findings that predict major arrhythmic events (MAE) in this patient population.
Summary:
- A study of 320 patients with type 1 Brugada ECG found that neither clinical risk factors (syncope, family history) nor EPS alone reliably identified high-risk individuals.
- A multiparametric approach, incorporating spontaneous type 1 ECG, syncope, family history of sudden death, and positive EPS, effectively stratified risk.
- Patients with spontaneous type 1 ECG and two or more risk factors exhibited a significantly higher event rate (30%), while others were considered low risk.
Impact:
- This study highlights the importance of a comprehensive risk assessment strategy for Brugada syndrome.
- The findings provide a clearer framework for managing patients with type 1 Brugada ECG, guiding treatment decisions and potentially preventing sudden cardiac death.
- The multiparametric approach offers a more accurate method for identifying individuals who may benefit from closer monitoring or intervention.
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