Key result
Device-based AV delay optimization in CRT is linked to ~20% higher absolute survival.
Why the study?
Sub-optimal atrioventricular delay causes non-response to CRT, but the long-term effectiveness of device-based algorithms for optimizing atrioventricular delay is unknown.
Does long-term optimization of atrioventricular delay using device-based algorithms improve survival and responder rates in patients undergoing cardiac resynchronization therapy?
Cohort (n=118)
No
Does long-term optimization of atrioventricular delay using device-based algorithms improve survival and responder rates in patients undergoing cardiac resynchronization therapy?
Absolute Event Rate: 85.2% vs 64.9%
p-value: p=0.02
Long-term optimization of atrioventricular delay using device-based algorithms improves survival in patients undergoing cardiac resynchronization therapy, including those who are initial non-responders.
AV delay optimization may improve CRT survival; hypothesis-generating without randomized confirmation.
Sub-optimal atrioventricular delay (AVD) is one of the main causes of non-responder for cardiac resynchronization therapy (CRT). Recently, device-based algorithms (DBAs) that provide optimal AVD based on intracardiac electrograms, have been developed. However, their long-term effectiveness is still unknown. This study aims to investigate the effect of optimizing AVD using DBAs over a long period, on the prognosis of patients undergoing CRT. A total of 118 patients who underwent CRT at our hospital between April 2008 and March 2018, were retrospectively reviewed; 61 of them with optimizing AVD using DBAs were classified into the treated group (group 1), and the remaining 57 were classified into the control group (group 2). The median follow-up period was 46.0 months. The responder and survival rate in group 1 were significantly better than those in group 2 (group 1 vs. group 2: responder rate = 64% vs. 46%, p = 0.046; survival rate: 85.2% vs. 64.9%, p = 0.02). Moreover, investigating only the non-responder population showed that group 1 had an improved survival rate compared to group 2 (group 1 vs. group 2 = 72.7% vs. 45.1%, p = 0.02). Optimizing AVD using DBAs was a significant contributor to the improved survival rate in CRT non-responders in multivariate analysis (HR 3.6, p = 0.01). In conclusion, the long-term optimizing AVD using DBAs improved the survival rate in CRT and the prognosis of CRT non-responders, as well.
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Ikeda et al. (2022) conducted a cohort in Heart failure undergoing cardiac resynchronization therapy (n=118). Optimizing atrioventricular delay using device-based algorithms vs. Non-optimizing atrioventricular delay was evaluated on Survival rate (p=0.02). Long-term optimization of atrioventricular delay using device-based algorithms significantly improved the survival rate to 85.2% compared to 64.9% in the control group among patients undergoing CRT.
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