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通过一组从心电图得出的六个参数对除颤电击成功进行评估。

Defibrillation shock success estimation by a set of six parameters derived from the electrocardiogram.

作者信息

Jekova Irena, Mougeolle François, Valance Aude

机构信息

Centre of Biomedical Engineering, Bulgarian Academy of Science, Sofia, Bulgaria.

出版信息

Physiol Meas. 2004 Oct;25(5):1179-88. doi: 10.1088/0967-3334/25/5/008.

Abstract

It is well known that in some cases defibrillator shocks cannot terminate ventricular fibrillation (VF). Repeated failed shocks often may worsen subsequent response to therapy. This study assesses the ability of six parameters derived from the surface electrocardiogram (ECG) to predict defibrillation shock outcome. Using stepwise discriminant analysis, we obtained several discriminant functions, yielding different combinations of sensitivity and specificity for detection of pre-shock ECG segments corresponding to successful versus unsuccessful shocks. The study was performed consecutively for 3, 4 and 5 s ECG time intervals. The prediction accuracy of 72.3% (61.8% sensitivity and 79.6% specificity) with five parameters and 3 s VF segment analysis prior to defibrillation shock could be considered acceptable for possible practical application in automatic external defibrillators.

摘要

众所周知,在某些情况下,除颤电击不能终止心室颤动(VF)。多次电击失败往往会使后续治疗反应恶化。本研究评估了从体表心电图(ECG)得出的六个参数预测除颤电击结果的能力。使用逐步判别分析,我们获得了几个判别函数,针对成功与失败电击对应的电击前ECG节段检测产生了不同的敏感性和特异性组合。该研究针对3、4和5秒的ECG时间间隔连续进行。对于自动体外除颤器的可能实际应用而言,在除颤电击前对5个参数和3秒VF节段进行分析,预测准确率为72.3%(敏感性为61.8%,特异性为79.6%)可被认为是可接受的。

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