Autothreshold algorithm feasibility and safety in left bundle branch pacing.
Elena Sola-García1,2, Manuel Molina-Lerma2,3, Juan Jiménez-Jáimez2,3
1Cardiology Department, Virgen de las Nieves University Hospital, Avenida de las Fuerzas Armadas n° 2, Granada 18014, Spain.
Summary
The autothreshold algorithm is feasible for left bundle branch pacing (LBBP), showing stable performance comparable to manual thresholds. This facilitates remote monitoring in patients with LBBP.
Area of Science:
- Cardiology
- Biomedical Engineering
- Medical Device Technology
Background:
- Autothreshold algorithms are crucial for remote patient monitoring in conventional pacing.
- Limited data exists on the efficacy of autothreshold algorithms specifically in left bundle branch pacing (LBBP).
- This study aimed to evaluate the autothreshold algorithm's performance in LBBP compared to conventional pacing.
Discussion:
- The autothreshold algorithm demonstrated feasibility in LBBP, with a trend towards bipolar pacing configurations.
- Activation failures were mainly due to insufficient safety margins, atrial tachyarrhythmias, or electrical noise.
- The algorithm's performance was assessed across acute, subacute, and chronic phases post-implantation.
Key Insights:
- Automatic pacing thresholds in LBBP were comparable to manual thresholds.
- Pacing thresholds remained stable throughout the follow-up period in the LBBP group.
- The autothreshold algorithm shows promise for simplifying device programming and enhancing remote monitoring in LBBP patients.
Outlook:
- Further research could explore optimizing algorithm parameters for LBBP to minimize activation failures.
- Investigating the long-term clinical benefits and cost-effectiveness of autothreshold algorithms in LBBP is warranted.
- Expanded studies across multiple centers will validate these findings in diverse patient populations.
