Ebert Thomas J, Vogt Julia A, Kaur Roopvir, Iqbal Zafar, Peters Douglas J, Cummings Craig E, Stekiel Thomas A
Department of Anesthesiology, Medical College of Wisconsin, Milwaukee, WI, USA.
Department of Anesthesiology, CJ Zablocki VA Medical Center, Milwaukee, WI, 53295, USA.
J Clin Monit Comput. 2025 Feb;39(1):149-156. doi: 10.1007/s10877-024-01225-3. Epub 2024 Oct 18.
Automated EMG devices to detect compound muscle action potentials from the adductor pollicis muscle in response to ulnar nerve stimulation, regardless of hand and thumb position, may serve as a better reference ("gold standard") for clinical assessment of neuromuscular function than traditional mechanomyography (MMG) systems that need custom design and validation in lab settings. This evaluation compared the TetraGraph EMG system against a validated MMG device to investigate the accuracy and repeatability of this quantitative EMG monitor for detecting onset, offset and deep neuromuscular block. Simultaneous muscle action potential recordings from the EMG neuromuscular monitor and muscle contractions from an in-house developed MMG monitor in response to ulnar nerve stimulation were obtained from patients having elective surgery requiring neuromuscular block. Train-of-four (TOF) ratios, TOF counts, and post-tetanic counts (PTCs) were recorded simultaneously from the same hand muscle and compared. In total, 685 pairs of simultaneous TOF ratios were evaluated. The mean difference (bias) of TOF ratios between devices was small (- 2.1%). TOF counts from 285 data pairs were within a count of 2 or less 96% of the time. During deep block, PTC comparisons from 215 data pairs were within a count of 2 or less 95% of the time. These findings, along with prior EMG device evaluations, indicate that real-time EMG neuromuscular monitoring technology to detect muscle action potentials from the adductor pollicis in the clinical setting is closely aligned with the force of thumb contraction determined from MMG. The accuracy of quantitative EMG technology of the TetraGraph EMG system lends strong support for this monitor, along with other similarly validated EMG monitors, to become a clinical standard for all phases (onset, depth and reversal) of neuromuscular block in clinical practice.
自动化肌电图设备可检测拇收肌在尺神经刺激下产生的复合肌肉动作电位,无论手和拇指的位置如何,与传统的机械肌电图(MMG)系统相比,它可能是神经肌肉功能临床评估的更好参考(“金标准”),传统的MMG系统需要在实验室环境中进行定制设计和验证。本评估将TetraGraph肌电图系统与经过验证的MMG设备进行比较,以研究这种定量肌电图监测仪检测起始、偏移和深度神经肌肉阻滞的准确性和可重复性。从需要进行神经肌肉阻滞的择期手术患者中,同时获取肌电图神经肌肉监测仪记录的肌肉动作电位和内部开发的MMG监测仪记录的肌肉收缩情况,这些记录是在尺神经刺激下获得的。同时记录同一只手部肌肉的四个成串刺激(TOF)比率、TOF计数和强直后计数(PTC)并进行比较。总共评估了685对同时出现的TOF比率。两种设备之间TOF比率的平均差异(偏差)很小(-2.1%)。285个数据对的TOF计数在96%的时间内相差2个计数或更少。在深度阻滞期间,215个数据对的PTC比较在95%的时间内相差2个计数或更少。这些发现以及之前对肌电图设备的评估表明,在临床环境中检测拇收肌肌肉动作电位的实时肌电图神经肌肉监测技术与通过MMG确定的拇指收缩力密切相关。TetraGraph肌电图系统的定量肌电图技术的准确性有力地支持了该监测仪以及其他经过类似验证的肌电图监测仪成为临床实践中神经肌肉阻滞所有阶段(起始、深度和逆转)的临床标准。