Quantitative neuromuscular monitoring with train-of-four ratio using sonomechanomyography (SMMG): Toward more sensitive evaluation of neuromuscular blockade.

IF 1.7 4区 工程技术 Q3 INSTRUMENTS & INSTRUMENTATION Review of Scientific Instruments Pub Date : 2024-12-01 DOI:10.1063/5.0243459
Pancheng Zhu, Zhen Song, Stanley Sau-Ching Wong, Yongping Zheng
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Abstract

In the post-anesthesia care unit, there is a high occurrence of residual neuromuscular blockade, which puts patients at risk of negative consequences such as hypoxia. Assessment based on the train-of-four ratio (TOFR) has been used to avoid residual neuromuscular blockade when the TOFR is greater than 0.9, measured at the adductor pollicis muscle (APM). The most commonly used quantitative neuromuscular monitoring (QNM) modalities include acceleromyography (AMG) and electromyography (EMG). However, the poor user-friendliness of current QNM methods hinders their widespread adoption. To overcome this, we developed a new monitoring method using ultra-fast ultrasound imaging to generate a two-dimensional map of muscle transient motion, i.e., sonomechanomyography (SMMG). SMMG of the APM and AMG of the thumb were used to get the TOFR of 20 normal adults. The results showed no significant difference between the left and right hands for both AMG and SMMG TOFR, with p-values larger than 0.05. In addition, the mean accuracy of SMMG TOFR (0.6% relative error) was higher than AMG (1.4% relative error). Moreover, the Bland-Altman plot showed that all the difference values were within the limits of agreement and the mean bias was 0.02, indicating that the two methods had a very good agreement. In particular, using SMMG did not require additional calibration before testing. Overall, the results demonstrated that the method has the potential as a new QNM approach for further clinical studies to benefit patients in need. To demonstrate its clinical potential, further studies are required to evaluate this method in patients during and post-anesthesia.

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定量神经肌肉监测与训练-四比率使用超声肌力图(SMMG):更敏感的评估神经肌肉阻滞。
在麻醉后护理单元,残留神经肌肉阻滞的发生率很高,这使患者面临缺氧等不良后果的风险。当在拇内收肌(APM)测量的TOFR大于0.9时,使用基于四列比率(TOFR)的评估来避免残留的神经肌肉阻断。最常用的定量神经肌肉监测(QNM)方式包括加速肌图(AMG)和肌电图(EMG)。然而,当前QNM方法的用户友好性差阻碍了它们的广泛采用。为了克服这一问题,我们开发了一种新的监测方法,使用超快速超声成像来生成肌肉瞬态运动的二维图,即声速肌学(SMMG)。采用APM的SMMG和拇指的AMG计算20例正常成人的tfr。结果显示,AMG和SMMG的TOFR在左手和右手之间没有显著差异,p值大于0.05。此外,SMMG TOFR的平均准确度(相对误差为0.6%)高于AMG(相对误差为1.4%)。此外,Bland-Altman图显示,所有的差值都在一致的范围内,平均偏差为0.02,表明两种方法具有很好的一致性。特别是,使用SMMG在测试前不需要额外的校准。总的来说,结果表明该方法有潜力作为一种新的QNM方法进行进一步的临床研究,使有需要的患者受益。为了证明其临床潜力,需要进一步的研究来评估该方法在麻醉期间和麻醉后的患者。
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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来源期刊
Review of Scientific Instruments
Review of Scientific Instruments 工程技术-物理:应用
CiteScore
3.00
自引率
12.50%
发文量
758
审稿时长
2.6 months
期刊介绍: Review of Scientific Instruments, is committed to the publication of advances in scientific instruments, apparatuses, and techniques. RSI seeks to meet the needs of engineers and scientists in physics, chemistry, and the life sciences.
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