Fig 1 - available via license: CC BY-NC-ND
Content may be subject to copyright.
Source publication
Brugada syndrome (BrS) is a rare, autosomal dominant genetic disorder with mutation in the SCN5A gene. It is associated with an increased risk of arrhythmias and sudden cardiac death. BrS can be diagnosed by characteristic electrocardiogram (ECG) findings and significant events, such as syncope, palpitations, nocturnal respiratory agonia, and famil...
Context in source publication
Context 1
... 12-lead ECG on arrival showed normal sinus rhythm with the presence of saddle back ST-T wave configuration in V2, which was consistent with type 2 BrS pattern as well as incomplete right bundle branch block (Fig. 1). Complete blood count revealed microcytic hypochromic red blood cells with hemoglobin of 14.9 g/ dL, white blood cell count of 7.9 × 10 3 /μL, and platelets of 209 × 10 3 /μL. Electrolytes, thyroid function tests, random blood glucose, HbA1c, urea, creatinine, creatine kinase isoenzyme MB, NT-pro-BNP, and troponin T values were within ...
Similar publications
Idiopathic ventricular fibrillation (IVF) is diagnosed in out-of-hospital VF survivors after comprehensive investigations have excluded structural heart disease or inherited channelopathies. Current guidelines recommend clinical screening of first-degree relatives of IVF survivors, but this approach has not been validated in children. This study ai...
Citations
... Brugada syndrome (BrS) is a rare disorder characterized by coved or saddle-shaped ST-segment elevation in the right precordial leads on the electrocardiogram (ECG) (1). It is associated with increased risks of ventricular arrhythmias (VAs) such as ventricular tachycardia/ventricular fibrillation (VT/VF), which can lead to sudden cardiac death (SCD) (2). The global prevalence of BrS is estimated to be 0.5 per 1000, with a higher prevalence in Southeast Asia (3). ...
Brugada syndrome (BrS) is a rare disorder characterized by coved or saddle-shaped ST-segment elevation in the right precordial leads on the electrocardiogram. Risk stratification in BrS remains challenging. A number of clinical, electrocardiographic, programmed ventricular stimulation and genetic risk factors have been identified as important predictors of future major arrhythmic events. There is a positive association between the number of risk factors and arrhythmic events. Hence, a multi-parametric approach would provide comprehensive risk assessment and more accurate risk stratification, assisting in therapeutic decisions making, including implantable cardioverter-defibrillator placement or identification of low-risk individuals. However, the extent to which each variable influences the risk and non-linear interactions between the different risk variables make risk stratification challenging. This paper aims to provide a focused review of the multi-parametric risk models for BrS risk stratification published in the literature.
