Direct comparison of a novel antitachycardia pacing algorithm against present methods using virtual patient modeling

Area of Science:

• Cardiovascular Electrophysiology
• Medical Device Technology
• Computational Biology

Background:

• Antitachycardia pacing (ATP) has variable success rates for fast ventricular tachycardias (VTs), often below 50%, indicating a need for improved pacing strategies to reduce shocks.
• Current ATP methods present opportunities for enhancement to improve efficacy in terminating life-threatening arrhythmias.

Purpose of the Study:

• To evaluate the performance of a novel automated antitachycardia pacing (AATP) therapy against traditional burst ATP.
• To utilize computer modeling for a virtual study comparing the effectiveness of AATP and burst ATP in terminating ventricular tachycardia.

Main Methods:

• Virtual patient scenarios were created using magnetic resonance imaging and electrophysiological data.
• Cardiac EP simulation software (CARPEntry) generated reentrant VT, with simulated VT exit sites adjudicated against clinical 12-lead ECGs.
• Burst ATP used fixed sequences, while AATP adapted sequences based on previous iterations to optimize VT termination.

Main Results:

• AATP terminated 73% (189/259) of simulated VTs, outperforming burst ATP's 56% (145/259) success rate.
• Both therapies showed a 2.0% acceleration rate, with AATP reducing dominant ATP failure mechanisms by 44% (from 101 to 63 instances).
• Key failure modes addressed by AATP included insufficient prematurity and failure to reach the critical VT isthmus.

Conclusions:

• Automated antitachycardia pacing (AATP) effectively terminated VT episodes that traditional burst ATP could not.
• AATP demonstrated success in complex cardiac scar geometries and electrophysiological heterogeneity, mirroring real-world patient conditions.
• The findings support AATP as a promising advancement for improving VT management and reducing patient shock burden.