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脊柱手术中的多模式术中神经生理监测:一家脊柱中心多年来的经验

Multimodal Intraoperative Neurophysiological Monitoring in Spine Surgeries: The Experience at a Spine Centre through Years.

作者信息

Rajappa Deepak, Khan Mohd Mazhar, Masapu Dheeraj, Manchala Ravi, Rudrappa Satish, Gopal Swaroop, Govindasamy Ramachandran, Horasuku Sunil Kumar

机构信息

Department of Anaesthesia, Sakra World Hospital, Bengaluru, India.

Institute of Neurosciences, Sakra World Hospital, Bengaluru, India.

出版信息

Asian Spine J. 2021 Dec;15(6):728-738. doi: 10.31616/asj.2020.0400. Epub 2020 Dec 30.

Abstract

STUDY DESIGN

Retrospective observational study.

PURPOSE

To share our experience of multimodal intraoperative neurophysiological monitoring (IONM) used in Sakra World Hospital, Bengaluru in various spine surgeries.

OVERVIEW OF LITERATURE

The development of new onset postoperative neurological deficits can be completely avoided. In order to avoid these, IONM has become a standard of care in recent times for early detection and manipulation of the surgical procedure to prevent postoperative neurological deficits.

METHODS

This retrospective study was performed on 408 patients who had undergone spine surgeries with IONM during April 2014 to March 2020 at a single center. The operative report, anesthesia record, and IONM were reviewed. All the patients were reassessed for postoperative neurological deficits in the postoperative period and followed up based on the intraoperative findings and neurological deficits for 4 weeks. Signal changes in IONM were reviewed, and the obtained results were further categorized into true positive, true negative, false positive, or false negative. If changes were observed during the IONM, the patients were managed as per the algorithm.

RESULTS

Of the 408 patients being monitored continuously during the intraoperative period, 38 showed changes in recordings, 28 developed postoperative neurological deficits, and one developed neurological deficit without any change in the IONM. Nine patients had transient neurological deficits, and the other 20 had permanent neurological deficits. Overall, the multimodal IONM used in our study had a sensitivity of 96.6%, specificity of 97.4%, a positive predictive value of 73.7%, and a negative predictive value of 99.7%.

CONCLUSIONS

Use of decision algorithm and multimodal neuromonitoring consisting of motor evoked potentials, somatosensory evoked potentials, and electromyography complement each other in the detection of neurological injury during the course the surgery, improve intraoperative care, and prevent further damage and morbidity in patients.

摘要

研究设计

回顾性观察研究。

目的

分享我们在班加罗尔萨克拉世界医院用于各类脊柱手术的多模式术中神经生理监测(IONM)经验。

文献综述

新发术后神经功能缺损的发生可完全避免。为避免此类情况,IONM近来已成为早期检测和调整手术操作以预防术后神经功能缺损的护理标准。

方法

本回顾性研究针对2014年4月至2020年3月期间在单一中心接受IONM脊柱手术的408例患者进行。回顾了手术报告、麻醉记录和IONM情况。对所有患者在术后重新评估神经功能缺损情况,并根据术中发现和神经功能缺损情况进行4周的随访。回顾IONM中的信号变化,将所得结果进一步分为真阳性、真阴性、假阳性或假阴性。若IONM期间观察到变化,则根据算法对患者进行处理。

结果

在术中持续监测的408例患者中,38例记录有变化,28例出现术后神经功能缺损,1例出现神经功能缺损但IONM无任何变化。9例患者有短暂性神经功能缺损,另外20例有永久性神经功能缺损。总体而言,我们研究中使用的多模式IONM敏感性为96.6%,特异性为97.4%,阳性预测值为73.7%,阴性预测值为99.7%。

结论

在手术过程中,决策算法与由运动诱发电位、体感诱发电位和肌电图组成的多模式神经监测相结合,在检测神经损伤方面相辅相成,改善术中护理,并预防患者进一步损伤和发病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72fb/8696063/09dc489d5099/asj-2020-0400f1.jpg

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