Abstract 17016: T Wave Variability and T Wave Morphology Predict Ventricular Tachyarrhythmias in Arvc Patients

Introduction: Predicting episodes of ventricular tachyarrhythmia (VT) and especially fast VT events in arrhythmogenic right ventricular cardiomyopathy (ARVC) patients could be useful for identification of patients for early ICD implantations. This study investigates parameters acquired from Holter Recordings and their value in predicting VT and fast VT events in patients with ARVC. Methods: We studied 63 probands diagnosed with ARVC according to the 2010 Task Force criteria. Three orthogonal (X,Y, and Z) lead ECG from Digital Holter were acquired at enrollment. The following parameters were calculated HRV time -domain from 24-hours, HRV frequency-domain from supine 5-minute recordings; QT variability from 20-minute supine; TWA from 20-minute supine and QT/RR slope. Best-subsets proportional-hazards regression analysis involving variables were used to identify the best set of continue parameters from Holters recordings predicting the VT events. Separate models were developed and tested for each of the endp...