The use of signal analyses of ventricular tachycardia electrograms to predict the response of antitachycardia pacing in patients with implantable cardioverter-defibrillators.

Abstract

INTRODUCTION:

Antitachycardia pacing (ATP), a quick, painless, and effective therapy available in implantable cardioverter-defibrillators (ICDs), can terminate most, but not all, sustained ventricular tachycardias (VTs). This study investigated the possible ventricular electrogram (EGM) factors for predicting the effectiveness of ATP therapy from ICD recordings.

METHODS AND RESULTS:

In this study, we analyzed 113 EGMs of VT episodes acquired from 20 patients who received ATP or shock to terminate tachyarrhythmias during follow-up after ICD implantations. The relationship between the outcome of ATP and VT EGM features (such as voltage, width, cycle length, and beat-to-beat morphologic variation) was investigated. The divergence (beat-to-beat morphologic variation) of the VT EGMs was determined by calculating the total deviation of all EGMs away from the average template after all VT EMGs were aligned. In total, 72 (63.7%) successful (Group I) and 41 (36.3%) unsuccessful (Group II) ATP therapy episodes were analyzed. The mean amplitude, cycle length, and EGM width were similar between these 2 groups (P > 0.05). A multivariate analysis demonstrated that the only predictor of successful ATP was the divergence among the VT EGMs (0.56 ± 0.32 vs 1.07 ± 0.64, P < 0.001, for Groups 1 and 2, respectively). The optimal cutoff value for determining a successful ATP therapy was 0.73 (with an area under the curve of 0.769, sensitivity of 81.9% [95% CI = 71.1-90.0], and specificity of 65.9% [95% CI = 49.4-79.9], P < 0.0001).

CONCLUSION:

Signal analyses from stored EGMs of VT can predict the response of ATP therapy in patients with ICD implantations. A lesser ventricular beat-to-beat morphologic variation in the intracardiac recordings from ICDs correlated with a higher probability of a successful ATP.

• Authors: Ta-Chuan Tuan, Men-Tzung Lo, Yenn-Jiang Lin, Wan-Hsin Hsieh, Chen Lin, Norden E Huang, Li-Wei Lo, Tze-Fan Chao, Jo-Nan Liao, Yu-Cheng Hsieh, Tsu-Juey Wu, Shih-Ann Chen
• Journal: Journal of cardiovascular electrophysiology (J Cardiovasc Electrophysiol) Vol. 25 Issue 4 Pg. 411-417 (Apr 2014) ISSN: 1540-8167 [Electronic] United States
• PMID: 24320556 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
• Copyright: © 2013 Wiley Periodicals, Inc.

Topics

• Aged
• Aged, 80 and over
• Cardiac Pacing, Artificial (methods)
• Cohort Studies
• Defibrillators, Implantable
• Electrocardiography (instrumentation, methods)
• Female
• Humans
• Male
• Middle Aged
• Predictive Value of Tests
• Signal Processing, Computer-Assisted (instrumentation)
• Tachycardia, Ventricular (physiopathology, therapy)