Automatic Verification of Ventricular Stimulation: Fusion Management Algorithm
Key result
Programming a long AV delay (>150 ms) significantly improved the accuracy of the Fusion Management Algorithm in detecting true fusion beats compared to a short AV delay (P < 0.001).
Why the study?
Does programming a long AV delay improve the accuracy of the Fusion Management Algorithm in patients with a DDD/R pacemaker?
Population
45 patients implanted with an Insignia Ultra DR pacemaker (analyzed via 45 Holter registrations)
Comparison
Fusion Management Algorithm with long… vs Fusion Management Algorithm with short…
Design
Cohort
Authors
Discussion
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Implication
May support long AV delay for better fusion detection in DDD/R pacemakers; hypothesis-generating and requires randomized confirmation before practice change.
Study Design
Type
Observational (n=45)
Structured PICO
Does programming a long AV delay improve the accuracy of the Fusion Management Algorithm in patients with a DDD/R pacemaker?
P
Population
45 patients implanted with an Insignia Ultra DR pacemaker who underwent Holter monitoring to evaluate a fusion beat management algorithm.
E
Exposure
Fusion Management Algorithm with long atrioventricular (AV) delay (>150 ms)
C
Comparator
Fusion Management Algorithm with short atrioventricular (AV) delay (≤150 ms)
O
Outcome
Accuracy of fusion beat classification by the Fusion Management Algorithm compared to visual inspectionsurrogate
Main Result
p-value: p=<0.001
Programming a long AV interval improves the accuracy of the Fusion Management Algorithm in detecting true fusion beats in patients with DDD/R pacemakers.
Cite This Study
Bertini et al. (2007) conducted an observational in Patients implanted with an Insignia Ultra DR pacemaker (n=45). Long AV delay (>150 ms) vs. Short AV delay (≤150 ms) was evaluated on Accuracy in detecting true fusion (p=<0.001). Programming a long AV delay (>150 ms) significantly improved the accuracy of the Fusion Management Algorithm in detecting true fusion beats compared to a short AV delay (P < 0.001).