Chen Wei-Ting, Tsai Min-Shan, Tsai Shang-Ho, Jiang Yu-Chen Fang, Yang Teck-Jin, Huang Chien-Hua, Chang Wei-Tien, Chen Wen-Jone
National Taiwan University Medical College and Hospital Department of Emergency Medicine Taipei Taiwan.
National Taiwan University Hospital Hsin-Chu Branch Department of Emergency Medicine Hsinchu Taiwan.
J Acute Med. 2019 Jun 1;9(2):49-58. doi: 10.6705/j.jacme.201906_9(2).0002.
To evaluate whether the frequency variation of ventricular fibrillation (VF) helps to predict successful defibrillation in a rat model of cardiac arrest.
VF was induced in rats followed by cardiopulmonary resuscitation and then defibrillation. The electrocardiographic signals of 30 rats with first-shock success were obtained from our previous animal experiments, and 300 rats without first-shock success were selected as control. The VF waveform immediately before the first defibrillation was analyzed.
Eighty-eight percentages of the frequency variations of an electrocardiogram (ECG) record falling in the range -9.5-9.5 Hz was selected with sensitivity of 0.8, specificity of 0.583, and area under curve (AUC) of 0.708. Compared with amplitude spectrum area (AMSA) (sensitivity = 0.767, specificity= 0.547, and AUC = 0.678), combining frequency variation and AMSA significantly increases the predictability with sensitivity of 0.933, specificity of 0.493, and AUC of 0.732 ( = 0.005).
The frequency variation of VF may serve a useful parameter to predict defibrillation success.
评估室颤(VF)频率变化是否有助于预测心脏骤停大鼠模型中的除颤成功率。
诱导大鼠发生室颤,随后进行心肺复苏及除颤。从我们之前的动物实验中获取30只首次除颤成功大鼠的心电图信号,并选取300只首次除颤未成功的大鼠作为对照。分析首次除颤前即刻的室颤波形。
选择心电图(ECG)记录中88%的频率变化落在-9.5至9.5 Hz范围内,其敏感性为0.8,特异性为0.583,曲线下面积(AUC)为0.708。与振幅谱面积(AMSA)(敏感性=0.767,特异性=0.547,AUC = 0.678)相比,将频率变化与AMSA相结合可显著提高预测能力,敏感性为0.933,特异性为0.493,AUC为0.732(P = 0.005)。
室颤频率变化可能是预测除颤成功的一个有用参数。