Brown C G, Dzwonczyk R, Martin D R
Department of Emergency Medicine, Ohio State University, Columbus.
Ann Emerg Med. 1993 Jan;22(1):70-4. doi: 10.1016/s0196-0644(05)80253-7.
Estimating the duration of ventricular fibrillation may help determine the best initial therapy and provide estimates of the most appropriate dose of epinephrine to administer during cardiac arrest and resuscitation. In addition, estimating this time can provide a more sound methodologic approach to stratifying patients in the analysis of cardiac arrest studies. In an initial series of studies in swine, we attempted to determine whether changes in the frequency or amplitude (power) of the ventricular fibrillation ECG signal during cardiac arrest could be used to estimate this time. These studies characterized the dynamics of both the total power and the frequency distribution of the power in the ECG over time during ventricular fibrillation in swine. Our purpose was to determine whether sufficient information existed in either parameter to estimate the duration of ventricular fibrillation. The median frequency of the power spectrum was used to track power distribution. Both parameters followed a dynamic and repeatable pattern. A mathematical model of median frequency was developed and used with data obtained from additional swine to estimate the duration of ventricular fibrillation. The model estimated the duration of ventricular fibrillation to within +/- 1.3 minutes of the actual duration from one to ten minutes after the onset of ventricular fibrillation. We recently characterized the time course of the median frequency during ventricular fibrillation in human beings. The median frequency was extracted from each four-second segment of the ventricular fibrillation ECG recordings and plotted versus time from the onset of cardiac arrest. The median frequency in human beings followed a repeatable time course during ventricular fibrillation.(ABSTRACT TRUNCATED AT 250 WORDS)
估计室颤持续时间有助于确定最佳初始治疗方案,并为心脏骤停和复苏期间肾上腺素的最适给药剂量提供估计。此外,估计这段时间可为心脏骤停研究分析中的患者分层提供更合理的方法。在最初一系列针对猪的研究中,我们试图确定心脏骤停期间室颤心电图信号的频率或幅度(功率)变化是否可用于估计这段时间。这些研究描述了猪室颤期间心电图总功率和功率频率分布随时间的动态变化。我们的目的是确定任一参数中是否存在足够信息来估计室颤持续时间。功率谱的中位数频率用于追踪功率分布。两个参数均呈现出动态且可重复的模式。我们开发了一个中位数频率数学模型,并将其与从其他猪身上获得的数据一起用于估计室颤持续时间。该模型估计的室颤持续时间与实际持续时间相差在室颤发作后1至10分钟内的±1.3分钟范围内。我们最近描述了人类室颤期间中位数频率的时间进程。从室颤心电图记录的每四秒片段中提取中位数频率,并绘制其与心脏骤停发作后的时间关系图。人类室颤期间的中位数频率呈现出可重复的时间进程。(摘要截断于250字)