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不同深度琥珀酰胆碱肌松阻滞下监测面神经在腮腺肿瘤手术中的应用。

Facial Nerve Monitoring under Different Levels of Neuromuscular Blockade with Cisatracurium Besilate in Parotid Tumour Surgery.

机构信息

Department of Anesthesiology, Shanghai 9th People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

出版信息

Biomed Res Int. 2021 Jul 13;2021:5655061. doi: 10.1155/2021/5655061. eCollection 2021.

Abstract

BACKGROUND

Anaesthesia can alter neuronal excitability and vascular reactivity and ultimately lead to neurovascular coupling. Precise control of the skeletal muscle relaxant doses is the key in reducing anaesthetic damage.

METHODS

A total of 102 patients with the normal functioning preoperative facial nerve who required parotid tumour resection were included in this study. Facial nerve monitoring was conducted intraoperatively. The surgeon stimulated the facial nerve at different myorelaxation intervals at TOF% (T4/T1) and T1% (T1/T0) and recorded the responses and the amplitude of electromyogram (EMG). Body movements (BM) or patient-ventilator asynchrony (PVA) was recorded intraoperatively.

RESULTS

In parotid tumour resection, T1% should be maintained at a range of 30 to 60% while TOF% should be maintained at a range of 20 to 30%. Analysis of the decision tree model for facial nerve monitoring suggests a partial muscle relaxation level of 30% < T1% ≤ 50% and TOF ≤ 60%. A nomogram prediction model, while incorporating factors such as sex, age, BMI, TOF%, and T1%, was constructed to predict the risk of BM/PVA during surgery, showing good predictive performance.

CONCLUSIONS

This study revealed an adequate level of neuromuscular blockade in intraoperative parotid tumour resection while conducting facial nerve monitoring. A visual nomogram prediction model was constructed to guide anaesthetists in improving the anaesthetic plan.

摘要

背景

麻醉可以改变神经元的兴奋性和血管反应性,最终导致神经血管耦合。精确控制骨骼肌松弛剂的剂量是减少麻醉损伤的关键。

方法

本研究共纳入 102 例术前面神经功能正常、需行腮腺肿瘤切除术的患者。术中进行面神经监测。术者在不同的肌松间隔(TOF% [T4/T1] 和 T1% [T1/T0])刺激面神经,并记录反应和肌电图(EMG)的振幅。术中记录体动(BM)或人机不同步(PVA)。

结果

在腮腺肿瘤切除术中,T1%应维持在 30%至 60%之间,而 TOF%应维持在 20%至 30%之间。对面神经监测决策树模型的分析表明,部分肌肉松弛水平为 30%<T1%≤50%,TOF≤60%。构建了一个包含性别、年龄、BMI、TOF%和 T1%等因素的列线图预测模型,以预测手术中 BM/PVA 的风险,具有良好的预测性能。

结论

本研究揭示了在术中腮腺肿瘤切除时进行面神经监测时的适当神经肌肉阻滞水平。构建了一个可视化列线图预测模型,以指导麻醉师改进麻醉计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57c3/8298146/24ad072556bb/BMRI2021-5655061.001.jpg

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