Performance of automatic capture confirmation algorithm in a large cohort of pacemaker patients with left bundle branch area pacing
摘要
Automatic capture confirmation algorithms regularly evaluate pacing capture threshold (PCT) and adjust energy output to deliver a tailored safety margin over the PCT. Abbott AutoCapture™ Algorithm provides beat-by-beat capture confirmation and delivers a high-output backup safety pulse in the event of non-capture. Our objective was to evaluate the longitudinal performance and stability of the Abbott AutoCapture™ algorithm in patients with LBBAP.
MethodsDe-identified remote device data were retrospectively analyzed from consecutive patients in our hospital who received AutoCapture enabled Abbott pacemakers with LBBAP from June 2021 to August 2023. Device stored AutoCapture PCT measurements were then evaluated incrementally over an approximate 2-year period, to evaluate longer-term trends and performance, and also compared with the in-clinic manual PCT.
ResultsA total of 619 patients with either single chamber (n = 89) or dual-chamber Abbott devices (n = 530) were identified. AutoCapture and manually measured PCTs in-clinic were within 0.25 V in 600/615 (97.6%) patients, with average PCTs of 0.76 V ± 0.28 and 0.80 V ± 0.26 respectively. At 1, 3, 6, 12, and 24-month remote follow-up, average AutoCapture PCTs were 0.67 V ± 0.29 (n = 594), 0.66 V ± 0.25 (n = 560), 0.71 V ± 0.29 (n = 543), 0.77 V ± 0.29 (n = 447) and 0.81 V ± 0.28 (n = 112), respectively. AutoCapture was found to be effective in assessing PCT and was activated in the majority of patients (619/644, 97%) with no clinical complications related to its usage.
ConclusionThe AutoCapture algorithm measured accurate PCTs compared to manual in-clinic and showed stable trend during follow-up of 2 years in patients with LBBAP.