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Localizing the accessory pathway in ventricular preexcitation patients using a score based algorithm

机译:使用基于评分的算法在心室预激患者中定位辅助途径

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Objectives: Clinical data was analyzed to find an efficient way to localize the accessory pathway in patients with ventricular preexcitation. Methods: The delta wave morphologies and ablation sites of 186 patients who underwent catheter ablation were analyzed and an algorithm ("locAP") to localize the accessory pathway was developed from the 84 data sets with a PQ interval ≤0.12 s and a QRS width ≥0.12 s. Fifty additional patients were included for a prospective validation. The locAP algorithm ranks 13 locations according to the likelihood that the accessory pathway is local-ized there. The algorithm is based on the locAP score which uses the standardized residuals of the available data sets. Results: The locAP algorithm's accuracy is 0.54 for 13 locations, with a sensitivity of 0.84, a specificity of 0.97, and a positive likelihood ratio of 24.94. If the two most likely locations are regarded, the accuracy rises to 0.79, for the three most likely locations combined the accuracy is 0.82. This new algorithm performs better than Milstein's, Fitzpatrick's, and Arruda's algorithm both in the original study population as well as in a prospective study. Conclusions: The locAP algorithm is a valid and valuable tool for clinical practice in a cardiac electrophysiology laboratory. It could be shown that use of the locAP algorithm is favorable over the localizing algorithms that are in clinical use today.
机译:目的:分析临床数据以寻找一种有效的方法来定位心室预激患者的辅助途径。方法:分析了186例接受导管消融的患者的三角波形态和消融部位,并从PQ间隔≤0.12s且QRS宽度≥的84个数据集中开发了一种定位辅助途径的算法(“ locAP”) 0.12秒包括另外50名患者以进行前瞻性验证。 locAP算法根据附件路径被本地化的可能性对13个位置进行排名。该算法基于locAP分数,该分数使用了可用数据集的标准化残差。结果:locAP算法在13个位置的准确度为0.54,灵敏度为0.84,特异性为0.97,正似然比为24.94。如果考虑两个最可能的位置,则精度提高到0.79,对于三个最可能的位置的总精度为0.82。在原始研究人群和前瞻性研究人群中,该新算法的性能均优于Milstein,Fitzpatrick和Arruda的算法。结论:locAP算法是在心脏电生理实验室进行临床实践的有效且有价值的工具。可以证明,locAP算法的使用优于当今临床使用的定位算法。

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