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用于优化除颤时机的信号积分。

Signal integral for optimizing the timing of defibrillation.

机构信息

Weil Institute of Critical Care Medicine, Rancho Mirage, CA, United States.

出版信息

Resuscitation. 2013 Dec;84(12):1704-7. doi: 10.1016/j.resuscitation.2013.08.005. Epub 2013 Aug 19.

Abstract

OBJECTIVE

The possibility of successful defibrillation decreases with an increased duration of ventricular fibrillation (VF). Futile electrical shocks are inversely correlated with myocardial contractile function and long-term survival. Previous studies have demonstrated that various ECG waveform analyses predict the success of defibrillation. This study investigated whether the absolute amplitude of pre-shock VF waveform is likely to predict the success of defibrillation.

METHODS

ECG recordings of 350 out-of-hospital cardiac arrest (OOHCA) patients were obtained from the automated external defibrillator (AED) and analyzed by the method of signal integral. Successful defibrillation was defined as organized rhythm with heart rate ≥40beat/min commencing within one min of post-shock period and persisting for a minimum of 30s.

RESULTS

Signal integral was significantly greater in successful defibrillation than unsuccessful defibrillation (81.76±32.3mV vs. 34.9±15.33mV, p<0.001). The intersection of the sensitivity and specificity curve provided a threshold value of 51mV. The corresponding values of sensitivity, specificity, positive predictive and negative predictive values for successful defibrillation were 90%, 86%, 80% and 93%, respectively. The receiver operator curve further revealed that signal integral predicted the likelihood of successful defibrillation (area under the curve=0.949).

CONCLUSIONS

Signal integral predicted successful electrical shocks on patients with ventricular fibrillation and have potential to optimize the timing of defibrillation and reduce the number of electrical shocks.

摘要

目的

室颤(VF)持续时间的增加会降低除颤成功的可能性。无效电击与心肌收缩功能和长期生存呈反比。先前的研究表明,各种心电图(ECG)波形分析可预测除颤的成功。本研究旨在探讨预激VF 波形的绝对幅度是否可能预测除颤的成功。

方法

从自动体外除颤器(AED)获取 350 例院外心脏骤停(OOHCA)患者的 ECG 记录,并通过信号积分法进行分析。成功除颤定义为电击后 1 分钟内出现有组织节律,心率≥40 次/分,并持续至少 30 秒。

结果

成功除颤的信号积分明显大于未成功除颤(81.76±32.3mV 与 34.9±15.33mV,p<0.001)。灵敏度和特异性曲线的交点提供了 51mV 的阈值。成功除颤的灵敏度、特异性、阳性预测值和阴性预测值分别为 90%、86%、80%和 93%。受试者工作特征曲线进一步表明,信号积分预测了成功除颤的可能性(曲线下面积=0.949)。

结论

信号积分可预测 VF 患者电击的成功,并有可能优化除颤时机,减少电击次数。

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