Abstract 13641: High Precordial Leads Increase the Detection of Brugada-Like Electrocardiographic Changes in Arrhythmogenic Right Ventricular Cardiomyopathy Patients and Healthy Controls

Autor: Lauren A Yee, Charles M Pearman, Zachary W Laksman, Brianna Davies, Andrew D Krahn
Rok vydání: 2021
Předmět:
Zdroj: Circulation. 144
ISSN: 1524-4539
0009-7322
Popis: Introduction: Diagnosis of Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC) relies on the 2010 Task Force Criteria (TFC), known to have high specificity and low sensitivity. Diagnosis is complicated by variable phenotypic expression, potentially fatal first presentation of disease, and modest yield of genetic testing. Phenotypic overlap has been described between ARVC and Brugada Syndrome (BrS), while high precordial lead positioning increases the sensitivity for BrS diagnosis. Purpose: To explore the scope and nature of ECG changes in high precordial leads in ARVC. Methods: Patients seen in the Inherited Arrhythmia Clinic in Vancouver, Canada between 2013-2020 had high precordial lead ECGs recorded and were enrolled in the Canadian ARVC/HiRO Registry (www.heartsinrhythm.ca). ECGs of cases and matched healthy controls were interpreted blinded to phenotype/genotype. We defined 10 ECG variables, including features of the TFC and novel markers. We compared standard vs. high leads within-patient, and cases vs. controls in standard and high lead positions. Results: There were 58 ARVC patients (age 41±14, 48% male, TFC 3.6±1.7) and 58 controls (age 47±15, 43% male) included. Brugada-like ECG changes were seen in 5 patients (4.3%), exclusively in high leads (p Conclusions: High precordial leads increase detection of Brugada-like ECG changes to a similar extent in ARVC patients and controls. Our study supports the finding that Type 3 pattern is a benign finding in healthy individuals. High precordial leads do not substantially increase the sensitivity for detection of epsilon waves. Further investigation is warranted into novel diagnostic methods that improve sensitivity for ARVC diagnosis.
Databáze: OpenAIRE