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Development and validation of a novel algorithm based on the ECG magnet response for rapid identification of any unknown pacemaker

机译:基于ECG磁铁响应的新算法的开发和验证,以快速识别任何未知的起搏器

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Background Pacemaker (PM) interrogation requires correct manufacturer identification. However, an unidentified PM is a frequent occurrence, requiring time-consuming steps to identify the device. Objective The purpose of this study was to develop and validate a novel algorithm for PM manufacturer identification, using the ECG response to magnet application. Methods Data on the magnet responses of all recent PM models (15 years) from the 5 major manufacturers were collected. An algorithm based on the ECG response to magnet application to identify the PM manufacturer was subsequently developed. Patients undergoing ECG during magnet application in various clinical situations were prospectively recruited in 7 centers. The algorithm was applied in the analysis of every ECG by a cardiologist blinded to PM information. A second blinded cardiologist analyzed a sample of randomly selected ECGs in order to assess the reproducibility of the results. Results A total of 250 ECGs were analyzed during magnet application. The algorithm led to the correct single manufacturer choice in 242 ECGs (96.8%), whereas 7 (2.8%) could only be narrowed to either 1 of 2 manufacturer possibilities. Only 2 (0.4%) incorrect manufacturer identifications occurred. The algorithm identified Medtronic and Sorin Group PMs with 100% sensitivity and specificity, Biotronik PMs with 100% sensitivity and 99.5% specificity, and St. Jude and Boston Scientific PMs with 92% sensitivity and 100% specificity. The results were reproducible between the 2 blinded cardiologists with 92% concordant findings. Conclusion Unknown PM manufacturers can be accurately identified by analyzing the ECG magnet response using this newly developed algorithm.
机译:背景起搏器(PM)审讯需要正确的制造商识别。但是,未识别的PM经常出现,需要耗时的步骤来识别设备。目的,本研究的目的是使用对磁铁应用的ECG响应来开发和验证PM制造商识别的新算法。收集了5个主要制造商的所有最近PM模型(15年)的磁铁响应的方法数据。随后开发了基于对磁铁应用的ECG响应以识别PM制造商的算法。在7个中心招募了在各种临床情况下使用ECG的患者。该算法被对PM信息视而不见的心脏病专家对每位心电图的分析进行了应用。第二位盲人心脏病专家分析了随机选择的心电图的样本,以评估结果的可重复性。结果在磁铁应用过程中总共分析了250个心电图。该算法导致了242个心电图(96.8%)的正确单制造商选择,而7(2.8%)只能缩小到2个制造商的可能性中的任何一个。仅发生2(0.4%)不正确的制造商识别。该算法确定了具有100%敏感性和特异性的Medtronic和Sorin组PM,具有100%敏感性和99.5%特异性的Biotronik PM,以及具有92%敏感性和100%特异性的St. Jude和Boston Scientific PMS。两位盲人心脏病专家之间的结果可再现,并有92%的一致性发现。结论未知的PM制造商可以通过使用该新开发的算法来准确地识别ECG磁铁响应。

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