Utilidad Y Rendimiento De Los Algoritmos De Brugada Y Vereckei-2 En El Diagnóstico De La Taquicardia Ventricular Idiopática Usefulness and Performance of the Brugada and Vereckei-2 Algorithms in the Diagnosis of Idiopathic Ventricular Tachycardia
Year: 2012
Type: article
Study design: Observational Study
Abstract: Introduction and Objectives: There are algorithms such as Brugada and Vereckei-2 for diagnosis of ventricular tachycardia, but they have not been explored in specific series of patients with idiopathic ventricular tachycardia. The purpose of this research was to identify in our series, by simple analysis, the scheme of greater diagnostic performance of the Brugada and Vereckei-2 algorithms. Method: Retrospective and descriptive study in 15 consecutive patients presenting with idiopathic ventricular tachycardia, confirmed by electrophysiological study and other tests at the Cardiac Electrophysiology Service of Cardiocentro "Ernesto Che Guevara" in Santa Clara, Cuba, between January 2004 - December 2007. Results: Both algorithms diagnosed 100% of cases. In patients with right ventricle outflow tract ventricular tachycardia, the Brugada algorithm diagnosed 50% of cases in step 1, and 83.3% combined with Step 3. The Vereckei-2 algorithm in the first two steps did not diagnose any right ventricle outflow tract ventricular tachycardia. In fascicular right ventricle outflow tract ventricular tachycardia, the Brugada algorithm step 1 only diagnosed 11.1% of cases and none in step 2. The Vereckei-2 algorithm, step 2, has a high diagnostic performance for fascicular ventricular tachycardia: 88.9% of cases. Conclusions: The Vereckei-2 algorithm has greater usefulness in fascicular ventricular tachycardia, with a high diagnostic performance in a single step (step 2). Brugada algorithm, despite having lower diagnostic performance in a single step, has greater usefulness in the diagnosis of right ventricle outflow tract ventricular tachycardia by combining steps 1 and 3.
Source: CorSalud
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W1491018338