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首页> 外文期刊>PACE: Pacing and clinical electrophysiology >Atrial pacing in the prevention of paroxysmal atrial fibrillation: first results of a new combined algorithm.
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Atrial pacing in the prevention of paroxysmal atrial fibrillation: first results of a new combined algorithm.

机译：在预防阵发性心房颤动的心房起搏：一种新的组合算法的第一结果。

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Pacing algorithms for prevention of atrial tachyarrhythmia (AT) are under clinical evaluation. The present study prospectively evaluated the efficacy of three simultaneously active algorithms for AT prevention and aimed at identifying patients in whom atrial preventive pacing (APP) may be particularly successful. METHODS: In 31 patients with conventional pacing indications and paroxysmal AT, a DDDRP pacing system was implanted, which stores 35 AT episodes with atrial electrograms and marker annotations. Counters and stored AT episodes were retrieved 30 days after implant. APP algorithms (atrial preference pacing, atrial rate stabilization, postmode switching overdrive) were activated. Counters and stored AT episodes were again retrieved 60 days later. The number and duration of AT episodes was measured. Several clinical variables were examined with respect to their ability to identify candidates for APP. RESULTS: During APP, the mean number of AT episodes/patient/day decreased from 7.67 to 1.68 (P = 0.04). However, time in AT was not significantly reduced (9.45% versus 10.41%). APP decreased the number of episodes/day in 11 patients and increased it in 9 patients. No clinical parameters predicting APP success was identified. CONCLUSIONS: APP using three algorithms significantly reduced the mean number of AT episodes/patient/day. However, the time during which patients were in AT was not reduced. No clinical variable predicted the success or failure of APP.
机译：用于预防心房Tachyarrhalthmia（AT）的起搏算法在临床评价下。本研究预期评估了三种同时活性算法在预防下的疗效，旨在鉴定心房预防起搏（APP）可能特别成功的患者。方法：在31例常规起搏指示和阵发性患者中，植入DDDRP起搏系统，在具有心房电视图和标记注释的发作中储存35。在植入物后30天检索次数并在剧集中储存。激活了APP算法（心房偏好PAP，心房速率稳定，后模开关过驱动）。 60天后再次检索剧集并在剧集中储存。测量剧集的数量和持续时间。在识别应用程序候选人的能力方面检查了几种临床变量。结果：在APP期间，剧集/患者/日的平均数量从7.67降至1.68（P = 0.04）。然而，在AT的时间没有显着降低（9.45％，而10.41％）。应用程序减少了11名患者的发作/日的数量，并在9名患者中增加。没有确定预测应用程序成功的临床参数。结论：应用三种算法的应用显着降低了剧集/患者/日的平均数量。然而，患者处于患者的时间不会减少。没有临床变量预测应用程序的成功或失败。

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