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首页> 外文期刊>Journal of arrhythmia. >Automatic atrial capture device control in real-life practice: A multicenter experience
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Automatic atrial capture device control in real-life practice: A multicenter experience

机译:现实生活中的自动心房捕获设备控制:多中心体验

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Background: Device-based fully automatic pacing capture detection is useful in clinical practice and important in the era of remote care management. The main objective of this study was to verify the effectiveness of the new ACAP Confirm(R) algorithm in managing atrial capture in the medium term in comparison with early post-implantation testing. Methods: Data were collected from 318 patients (66% male; mean age, 73+/-10 years); 237 of these patients underwent device implantation and 81 box changes in 31 Italian hospitals. Atrial threshold measurements were taken manually and automatically at different pulse widths before discharge and during follow-up (7+/-2 months) examination. Results: The algorithm worked as expected in 73% of cases, considering all performed tests. The success rate was 65% and 88% pre-discharge and during follow-up examination (p<0.001), respectively, in patients who had undergone implantation. We did not detect any difference in the performance of the algorithm as a result of the type of atrial lead used. The success rate was 70% during pre-discharge testing in patients undergoing device replacement. Considering all examination types, manual and automatic measurements yielded threshold values of 1.07+/-0.47V and 1.03+/-0.47V at 0.2-ms pulse duration (p=0.37); 0.66+/-0.37V and 0.67+/-0.36V at 0.4ms (p=0.42); and 0.5+/-0.28V and 0.5+/-0.29V at 1ms (p=0.32). Conclusions: The results show that the algorithm works before discharge, and its reliability increases over the medium term. The algorithm also proved accurate in detecting the atrial threshold automatically. The possibility of activating it does not seem to be influenced by the lead type used, but by the time from implantation.
机译:背景:基于设备的全自动起搏捕获检测在临床实践中很有用,并且在远程护理管理时代也很重要。这项研究的主要目的是,与植入后的早期测试相比,在中期验证新的ACAP Confirm(R)算法在管理心房捕获方面的有效性。方法:收集了318例患者的数据(66%为男性;平均年龄为73 +/- 10岁)。在意大利的31家医院中,其中237位患者进行了设备植入,并更换了81个盒子。在出院前和随访(7 +/- 2个月)检查期间,以不同的脉宽手动并自动进行心房阈值测量。结果:考虑到所有执行的测试,该算法在73%的情况下均按预期工作。植入患者的出院前和随访检查中的成功率分别为65%和88%(p <0.001)。由于使用的心房导联类型,我们没有发现算法性能的任何差异。在进行设备更换的患者的出院前测试中,成功率为70%。考虑到所有检查类型,在0.2毫秒脉冲持续时间内,手动和自动测量的阈值分别为1.07 +/- 0.47V和1.03 +/- 0.47V(p = 0.37); 0.4ms时为0.66 +/- 0.37V和0.67 +/- 0.36V(p = 0.42); 1ms时为0.5 +/- 0.28V和0.5 +/- 0.29V(p = 0.32)。结论:结果表明,该算法在放电前有效,其可靠性在中期提高。该算法还被证明在自动检测心房阈值方面是准确的。激活它的可能性似乎不受所用引线类型的影响,但受植入时间的影响。

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