Literature DB >> 15752395

Acceleromyography vs. electromyography: an ipsilateral comparison of the indirectly evoked neuromuscular response to train-of-four stimulation.

A F Kopman1, W Chin, J Cyriac.   

Abstract

BACKGROUND: There is a considerable body of evidence which suggests that data obtained using acceleromyography (AMG) cannot be used interchangeably with observations obtained by mechanomyographic (MMG) or electromyograhic (EMG) methods. All previous such studies evaluated the responses from contralateral limbs. This investigation was undertaken to determine if these previously described differences were in part a function of observing the responses from opposing limbs.
METHODS: We compared the ipsilateral EMG and AMG response to an ED(95) bolus of atracurium in 50 subjects. In half of the individuals the thumb was free to move freely; in half, a small elastic preload was applied to the thumb. Train-of-four (TOF) recovery was followed until a TOF ratio >0.90 was recorded by both monitors. Acceleromyography vs. EMG differences and the resultant 95% confidence limits for twitch height (T1) and the TOF ratio were determined.
RESULTS: When the AMG TOF value had recovered to a value of 0.72 +/- 0.03; the simultaneously evoked EMG value averaged only 0.59 +/- 0.08. This difference was statistically significant (P < 0.001). Although the mean difference AMG vs. EMG was little more than 0.10, differences in an individual might be twice that amount. When the AMG TOF value had recovered to 0.90, the simultaneously evoked EMG value averaged 0.85. Again the 95% confidence limits for individual observations was very wide. With EMG, once the TOF ratio returns to a value of 0.70, T1 has returned to 95% of control. In contrast with AMG, return of T1 -95% of control requires a TOF ratio of almost 0.90. Addition of an elastic preload to the thumb decreased control TOF variability without effecting the relationship between twitch height and the TOF ratio.
CONCLUSION: Acceleromyographic TOF values tend to overestimate the extent of EMG recovery. Acceleromyographic TOF values <0.90 are indicative of incomplete neuromuscular recovery.

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Year:  2005        PMID: 15752395     DOI: 10.1111/j.1399-6576.2005.00643.x

Source DB:  PubMed          Journal:  Acta Anaesthesiol Scand        ISSN: 0001-5172            Impact factor:   2.105


  9 in total

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2.  Train-of-Four monitoring: overestimation.

Authors:  Jeong Uk Han
Journal:  Korean J Anesthesiol       Date:  2011-05-31

3.  Philips Intellivue NMT module: precision and performance improvements to meet the clinical requirements of neuromuscular block management.

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Journal:  J Clin Monit Comput       Date:  2019-02-26       Impact factor: 2.502

4.  Fading Sugammadex, or Just Cautiously (re) Considered?!

Authors:  Sanda-Maria Copotoiu
Journal:  J Crit Care Med (Targu Mures)       Date:  2015-06-05

5.  A comparison of a prototype electromyograph vs. a mechanomyograph and an acceleromyograph for assessment of neuromuscular blockade.

Authors:  A Bowdle; L Bussey; K Michaelsen; S Jelacic; B Nair; K Togashi; J Hulvershorn
Journal:  Anaesthesia       Date:  2019-10-16       Impact factor: 6.955

6.  Assessment of the New Acceleromyograph TOF 3D Compared with the Established TOF Watch SX: Bland-Altman Analysis of the Precision and Limits of Agreement between Both Devices-A Randomized Clinical Comparison.

Authors:  Stefan Soltesz; Jan Thomas; Michael Anapolski; Guenter Karl Noé
Journal:  J Clin Med       Date:  2022-08-05       Impact factor: 4.964

7.  Comparison of clinical validation of acceleromyography and electromyography in children who were administered rocuronium during general anesthesia: a prospective double-blinded randomized study.

Authors:  Woojun Jung; Minho Hwang; Young Ju Won; Byung Gun Lim; Myoung-Hoon Kong; Il-Ok Lee
Journal:  Korean J Anesthesiol       Date:  2016-01-28

8.  Effect of sevoflurane anesthesia on neuromuscular blockade produced by rocuronium infusion in dogs.

Authors:  Hisashi Sakata; Yushun Ishikawa; Genki Ishihara; Norihiko Oyama; Takaharu Itami; Mohammed Ahmed Umar; Tadashi Sano; Kazuto Yamashita
Journal:  J Vet Med Sci       Date:  2019-01-30       Impact factor: 1.267

9.  Exploratory Outlier Detection for Acceleromyographic Neuromuscular Monitoring: Machine Learning Approach.

Authors:  Michaël Verdonck; Hugo Carvalho; Johan Berghmans; Patrice Forget; Jan Poelaert
Journal:  J Med Internet Res       Date:  2021-05-31       Impact factor: 5.428

  9 in total

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