Key result
Automated dynamic CRT optimization showed comparable efficacy to conventional non-adaptive methods for the primary composite clinical outcome (0% for adaptive LV, 36.4% for adaptive BiV, and 26.4% for non-adaptive BiV; P=0.14).
Why the study?
Few real-world data support clinical trials demonstrating the efficacy of automatic optimization algorithms over conventional optimization methods in CRT.
Does an adaptive CRT algorithm (automated dynamic optimization and LV-only pacing) improve clinical outcomes and electromechanical reverse remodeling compared to conventional non-adaptive BiV pacing in patients with advanced heart failure?
Observational (n=155)
No
Does an adaptive CRT algorithm (automated dynamic optimization and LV-only pacing) improve clinical outcomes and electromechanical reverse remodeling compared to conventional non-adaptive BiV pacing in patients with advanced heart failure?
p-value: p=0.14
Automated dynamic CRT optimization using the aCRT algorithm provides comparable clinical outcomes and electromechanical reverse remodeling to conventional echocardiogram- or ECG-based optimization in real-world practice.
BACKGROUND: Although device-based optimization has been developed to overcome the limitations of conventional optimization methods in cardiac resynchronization therapy (CRT), few real-world data supports the results of clinical trials that showed the efficacy of automatic optimization algorithms. We investigated whether CRT using the adaptive CRT algorithm is comparable to non-adaptive biventricular (BiV) pacing optimized with electrocardiogram or echocardiography-based methods. METHODS: Consecutive 155 CRT patients were categorized into 3 groups according to the optimization methods: non-adaptive BiV (n = 129), adaptive BiV (n = 11), and adaptive left ventricular (LV) pacing (n = 15) groups. Additionally, a subgroup of patients (n = 59) with normal PR interval and left bundle branch block (LBBB) was selected from the non-adaptive BiV group. The primary outcomes included cardiac death, heart transplantation, LV assist device implantation, and heart failure admission. Secondary outcomes were electromechanical reverse remodeling and responder rates at 6 months after CRT. RESULTS: During a median 27.5-month follow-up, there was no significant difference in primary outcomes among the 3 groups. However, there was a trend toward better outcomes in the adaptive LV group compared to the other groups. In a more rigorous comparisons among the patients with normal PR interval and LBBB, similar patterns were still observed. CONCLUSION: In our first Asian-Pacific real-world data, automated dynamic CRT optimization showed comparable efficacy to conventional methods regarding clinical outcomes and electromechanical remodeling.
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Gwag et al. (2019) conducted an observational in Advanced heart failure with electrical dyssynchrony (n=155). Automated dynamic optimization (aCRT algorithm) vs. Conventional non-adaptive biventricular (BiV) pacing was evaluated on Composite of cardiac death, heart transplantation, LV assist device implantation, and HF-related hospitalization (p=0.14). Automated dynamic CRT optimization showed comparable efficacy to conventional non-adaptive methods for the primary composite clinical outcome (0% for adaptive LV, 36.4% for adaptive BiV, and 26.4% for non-adaptive BiV; P=0.14).
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