This review highlights the challenges in Brugada syndrome diagnosis and risk stratification, emphasizing the potential of novel risk scores incorporating clinical and genetic factors to predict sudden cardiac death.
This review summarizes current knowledge on Brugada syndrome, emphasizing the need for improved risk stratification models incorporating clinical, genetic, and environmental factors.
Brugada syndrome (BrS) is an inherited cardiac disorder, characterised by a typical ECG pattern and an increased risk of arrhythmias and sudden cardiac death (SCD). BrS is a challenging entity, in regard to diagnosis as well as arrhythmia risk prediction and management. Nowadays, asymptomatic patients represent the majority of newly diagnosed patients with BrS, and its incidence is expected to rise due to (genetic) family screening. Progress in our understanding of the genetic and molecular pathophysiology is limited by the absence of a true gold standard, with consensus on its clinical definition changing over time. Nevertheless, novel insights continue to arise from detailed and in-depth studies, including the complex genetic and molecular basis. This includes the increasingly recognised relevance of an underlying structural substrate. Risk stratification in patients with BrS remains challenging, particularly in those who are asymptomatic, but recent studies have demonstrated the potential usefulness of risk scores to identify patients at high risk of arrhythmia and SCD. Development and validation of a model that incorporates clinical and genetic factors, comorbidities, age and gender, and environmental aspects may facilitate improved prediction of disease expressivity and arrhythmia/SCD risk, and potentially guide patient management and therapy. This review provides an update of the diagnosis, pathophysiology and management of BrS, and discusses its future perspectives.
Marsman et al. (Thu,) conducted a review in Brugada syndrome. This review highlights the challenges in Brugada syndrome diagnosis and risk stratification, emphasizing the potential of novel risk scores incorporating clinical and genetic factors to predict sudden cardiac death.