Acute hemodynamic effects of a novel algorithm for cardiac resynchronization therapy optimization: Results from the
Francisco Javier Garcia-Fernandez1, Kenji Ando2, Ritsushi Kato3
1Unidad de Arritmias, Servicio de Cardiología, Hospital Universitario de Burgos, Burgos, Spain.
Background:
A considerable proportion of patients with heart failure with reduced left ventricular ejection fraction (LVEF) and prolonged QRS duration fail to respond adequately to cardiac resynchronization therapy (CRT). Suboptimal atrioventricular (AV) delay programming is a key factor leading to diminished response.
Objective:
This study aimed to acutely correlate aortic velocity time integral, LVEF, and QRS duration with 3 programming strategies in the postimplantation setting: AV delay automatically set by a novel CRT AutoAdapt algorithm, AV delay optimized by echocardiography, and standard ("in-box") programming.
Methods:
Under normal intrinsic AV conduction (<250 ms after atrial pacing), the CRT AutoAdapt algorithm automatically switches to left ventricular-only pacing and adapts the AV delay to 50%, 70% (default), or 90% of intrinsic AV conduction. In our study, 163 CRT-defibrillator recipients (mean age 69.2 ± 9.2 years; 32% female; LVEF 27.7% ± 6.6%; 76% with left bundle branch block) underwent echocardiographic and electrocardiographic assessments at prehospital discharge.
Results:
With the default 70% AV adaptation, the CRT AutoAdapt automatically set a similar AV delay (117.1 ± 23.9 ms) compared with echocardiography-guided optimization (118.3 ± 30.2 ms; P = .94). Strong concordance was observed between the algorithm and echocardiography-guided optimization for aortic velocity time integral (concordance correlation coefficient 0.96) and LVEF (0.93). Both optimization methods significantly outperformed standard AV programming for LVEF improvement (P < .001) and QRS-width reduction (P < .01), with no significant differences between optimization approaches.
Conclusion:
Acute hemodynamic effects of CRT AutoAdapt and echocardiography-guided AV-delay optimization were similar, with equivalent cardiac performance. This device-based approach offers the potential advantage of continuous adaptation to changing physiological conditions without requiring resource-intensive in-office optimization procedures.
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