Feasibility Study of an Indicator of Equivalent Potency of Multiple Anesthetics Normalized by Minimum Alveolar Concentration Derived From Response Surface Models.

Haopeng Zhang,Jiuxiang Zhang,Xin Li,Shan He,Zhuomin Deng,Li Wang,Yi Wang,Xiaohui Wang,Congying Wan,Fan Huang,Zhenghua Zhu,Hailong Dong
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Abstract

BACKGROUND Minimum alveolar concentration (MAC) is used as the standard measure of potency for volatile anesthetic agents. However, there is a lack of effective and quantitative indicator of the combined potency of multiple coadministered inhalation and intravenous anesthetics. We hypothesized that an indicator of equivalent potency of multiple anesthetics, normalized by MAC and derived from response surface models as a fraction (abbreviated as eMAC fraction), can reflect the total potency of multiple anesthetics. METHOD Fifty-three patients receiving general anesthesia were enrolled. A random dose combination of propofol and remifentanil was administrated before a tetanic electric stimulus which was used to simulate incision. The vital signals and responses of patients were recorded to tetanic stimulus and in turn used to calculate the prediction probability (Pk) of the response, using the eMAC fraction and the bispectral index (BIS). After induction, the doses administered during anesthesia maintenance were entirely determined by anesthesiologists. During emergence, the anesthesiologists facilitated the awakening of patients through a combination of auditory and tactile stimuli at eMAC fraction levels of 0.8, 0.6, 0.4, and 0.2, or every 2 minutes after the certain level was reached, whichever arrived first. RESULTS The eMAC fraction for predicting the loss of movement response to tetanic electric stimulus yielded a mean ± standard deviation (SD) Pk of 0. 80 ± 0.06, which was higher than the Pk of the BIS value for predicting the loss of movement response to tetanic electric stimulus (0.71 ± 0.07, P < .001). During maintenance of anesthesia, the eMAC fraction showed changes related to anesthetic dose and surgical phase. In all patients, approximately 71.9% of eMAC fraction values were within the range of 1.3 to 2.6. During emergence, the mean eMAC fraction values at awakening were 0. 30 ± 0.15. CONCLUSIONS The eMAC fraction showed a superior performance in indicating the loss of response to electric stimulus compared to BIS. Anesthesiologists are familiar with the clinical use range of MAC fraction, and the distribution of eMAC fraction values during maintenance is similar to this range. This similarity allows anesthesiologists to easily use eMAC fraction in practice. These results indicate that the eMAC fraction has the potential to assist anesthesiologists in titrating multiple anesthetics to estimate the depth of anesthesia during general anesthesia, and should further be evaluated in clinical studies.
反应面模型中以最小肺泡浓度归一化的多种麻醉药等效效价指标的可行性研究。
背景最小肺泡浓度(MAC)是衡量挥发性麻醉剂效力的标准指标。然而,目前还缺乏有效的定量指标来衡量多种吸入和静脉麻醉剂的综合效力。我们假设,以 MAC 归一化并从响应面模型得出的多种麻醉剂等效效力指标(简称为 eMAC 分数)可以反映多种麻醉剂的总效力。在模拟切口的四肢电刺激前,随机给药丙泊酚和瑞芬太尼。记录患者对四肢电刺激的生命信号和反应,然后利用 eMAC 分数和双谱指数(BIS)计算反应的预测概率(Pk)。诱导后,麻醉维持期间的用药剂量完全由麻醉师决定。在苏醒过程中,麻醉师在 eMAC 分数水平为 0.8、0.6、0.4 和 0.2 时,或在达到一定水平后每隔 2 分钟(以先到者为准),通过结合使用听觉和触觉刺激来促进患者苏醒。结果预测对四肢电刺激失去运动反应的 eMAC 分数的平均值(± 标准差 (SD))Pk 为 0.80 ± 0.06,高于预测对四肢电刺激失去运动反应的 BIS 值的 Pk(0.71 ± 0.07,P < .001)。在麻醉维持期间,eMAC 分数的变化与麻醉剂量和手术阶段有关。在所有患者中,约 71.9% 的 eMAC 分数值在 1.3 至 2.6 之间。结论与 BIS 相比,eMAC 分数在显示对电刺激失去反应方面表现更佳。麻醉医师熟悉 MAC 分数的临床使用范围,而 eMAC 分数值在维持期间的分布与此范围相似。这种相似性使麻醉医生在实践中可以轻松使用 eMAC 分数。这些结果表明,eMAC 分数有可能帮助麻醉医生在全身麻醉期间滴定多种麻醉剂以估计麻醉深度,因此应在临床研究中进一步评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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