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[基于熵的神经监测在心脏手术中的作用]

[Role of entropy-based neuromonitoring during cardiac surgery].

作者信息

Arutiunian O M, Iavorovskiĭ A G, Guleshov V A, Dutikova E F, Buniatian A A

出版信息

Anesteziol Reanimatol. 2010 Sep-Oct(5):78-82.

Abstract

The paper deals with a role of spectral entropy-based neuromonitoring at cardiac surgery. Eighty cardiosurgical patients were examined. The depth of entropy-based anesthesia was monitored in all the patients. The patients enrolled into the study were divided into 2 groups. Anesthesia was carried out in the study group (n=40), by taking into account entropic parameters, and in the control group (n=40) on clinical grounds. Information on entropic parameters in this group was accessible only to an investigator and inaccessible to an anesthesiologist who had made anesthesia. The results of the study indicated that entropy-based neuromonitoring permits more controllable and predictable anesthesia to be achieved, makes an individual adjustment of the doses of sedatives easier for each patient, at the induction of anesthesia particularly, enables hypo- and hyperhypnotic episodes to be timely revealed, thus reducing the frequency of hypo- and hyperdynamic reactions by 2.4 times.

摘要

本文探讨了基于频谱熵的神经监测在心脏手术中的作用。对80例心脏手术患者进行了检查。所有患者均监测基于熵的麻醉深度。纳入研究的患者分为2组。研究组(n = 40)根据熵参数进行麻醉,对照组(n = 40)根据临床情况进行麻醉。该组中关于熵参数的信息仅研究者可获取,实施麻醉的麻醉医生无法获取。研究结果表明,基于熵的神经监测能够实现更可控、可预测的麻醉,使针对每位患者更容易进行镇静剂剂量的个体化调整,尤其是在麻醉诱导时,能够及时发现催眠不足和催眠过度的情况,从而使低动力和高动力反应的频率降低2.4倍。

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