Skip to main content
Log in

Train-of-four monitoring with the twitchview monitor electctromyograph compared to the GE NMT electromyograph and manual palpation

  • Original Research
  • Published:
Journal of Clinical Monitoring and Computing Aims and scope Submit manuscript

Abstract

The purpose of this study was to compare train-of-four count and ratio measurements with the GE electromyograph to the TwitchView electromyograph, that was previously validated against mechanomography, and to palpation of train-of-four count. Electrodes for both monitors were applied to the same arm of patients undergoing an unrestricted general anesthetic. Train-of-four measurements were performed with both monitors approximately every 5 min. In a subset of patients, thumb twitch was palpated by one of the investigators. Eleven patients contributed 807 pairs of train-of-four counts or ratios. A subset of 5 patients also contributed palpated train-of-four counts. Bland–Altman analysis of the train-of-four ratio found a bias of 0.24 in the direction of a larger ratio with the GE monitor. For 72% of data pairs, the GE monitor train-of-four ratios were larger. For 59% of data pairs, the GE monitor train-of-four counts were larger (p < 0.0001). For 11% of data pairs, the GE monitor train-of-four count was 4 when the Twitchview monitor count was zero. When manual palpation of train-of-four count was compared to train-of-four count determined by the monitors, 70% of data pairs were identical between palpation and TwitchView train-of-four count, while 30% of data pairs were identical between palpation and GE train-of-four count. For 7% of data pairs, the GE monitor train-of-four count was 4 when the palpation count was 0. The GE electromyograph may overestimate the train-of-four count and ratio. The GE electromyograph frequently reported 4 twitches when none were actually present due to misinterpretation of artifacts.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Brull SJ, Kopman AF. Current status of neuromuscular reversal and monitoring: challenges and opportunities. Anesthesiology. 2017;126(1):173–90. https://doi.org/10.1097/ALN.0000000000001409.

    Article  PubMed  Google Scholar 

  2. Kopman AF. Managing neuromuscular block: where are the guidelines? Anesth Analg. 2010;111(1):9–10. https://doi.org/10.1213/ANE.0b013e3181cdb0a5.

    Article  PubMed  Google Scholar 

  3. Naguib M, Brull SJ, Kopman AF, Hunter JM, Fulesdi B, Arkes HR, Elstein A, Todd MM, Johnson KB. Consensus statement on perioperative use of neuromuscular monitoring. Anesth Analg. 2018;127(1):71–80. https://doi.org/10.1213/ANE.0000000000002670.

    Article  PubMed  Google Scholar 

  4. Fuchs-Buder T, Claudius C, Skovgaard LT, Eriksson LI, Mirakhur RK, Viby-Mogensen J. Good clinical research practice in pharmacodynamic studies of neuromuscular blocking agents II: the Stockholm revision. Acta Anaesthesiol Scand. 2007;51(7):789–808. https://doi.org/10.1111/j.1399-6576.2007.01352.x.

    Article  CAS  PubMed  Google Scholar 

  5. Ali HH, Savarese JJ. Monitoring of neuromuscular function. Anesthesiology. 1976;45(2):216–49.

    Article  CAS  Google Scholar 

  6. Kopman AF. The effect of resting muscle tension on the dose-effect relationship of d-tubocurarine: does preload influence the evoked EMG? Anesthesiology. 1988a;69(6):1003–5. https://doi.org/10.1097/00000542-198812000-00042.

    Article  CAS  PubMed  Google Scholar 

  7. Kopman AF. The dose-effect relationship of metocurine: the integrated electromyogram of the first dorsal interosseous muscle and the mechanomyogram of the adductor pollicis compared. Anesthesiology. 1988b;68(4):604–7.

    Article  CAS  Google Scholar 

  8. Bowdle A, Bussey L, Michaelsen K, Jelacic S, Nair B, Togashi K, Hulvershorn J. Counting train-of-four twitch response: comparison of palpation to mechanomyography, acceleromyography, and electromyography. Br J Anaesth. 2020;124(6):712–17. https://doi.org/10.1016/j.bja.2020.02.022.

    Article  PubMed  Google Scholar 

  9. Bowdle A, Bussey L, Michaelsen K, Jelacic S, Nair B, Togashi K, Hulvershorn J. A comparison of a prototype electromyograph vs. a mechanomyograph and an acceleromyograph for assessment of neuromuscular blockade. Anaesthesia. 2020;75(2):187–95. https://doi.org/10.1111/anae.14872.

    Article  CAS  PubMed  Google Scholar 

  10. Stewart PA, Freelander N, Liang S, Heller G, Phillips S. Comparison of electromyography and kinemyography during recovery from non-depolarising neuromuscular blockade. Anaesth Intensive Care. 2014;42(3):378–84. https://doi.org/10.1177/0310057X1404200316.

    Article  CAS  PubMed  Google Scholar 

  11. Salminen J, van Gils M, Paloheimo M, Yli-Hankala A. Comparison of train-of-four ratios measured with Datex-Ohmeda’s M-NMT MechanoSensor and M-NMT ElectroSensor. J Clin Monit Comput. 2016;30(3):295–300. https://doi.org/10.1007/s10877-015-9717-4.

    Article  PubMed  Google Scholar 

  12. Dubois PE, Mitchell J, Dransart C, d’Hollander A. Datex-Ohmeda NeuroMuscular Transmission electromyography module artefacts in clinical practice: case report and retrospective chart review. Eur J Anaesthesiol. 2012;29(5):249–51. https://doi.org/10.1097/EJA.0b013e32834f8f76.

    Article  CAS  PubMed  Google Scholar 

  13. Todd MM, Hindman BJ, King BJ. The implementation of quantitative electromyographic neuromuscular monitoring in an academic anesthesia department. Anesth Analg. 2014;119(2):323–31. https://doi.org/10.1213/ANE.0000000000000261.

    Article  PubMed  Google Scholar 

  14. Claudius C, Skovgaard LT, Viby-Mogensen J. Arm-to-arm variation when evaluating neuromuscular block: an analysis of the precision and the bias and agreement between arms when using mechanomyography or acceleromyography. Br J Anaesth. 2010;105(3):310–7. https://doi.org/10.1093/bja/aeq162.

    Article  CAS  PubMed  Google Scholar 

  15. Bhananker SM, Treggiari MM, Sellers BA, Cain KC, Ramaiah R, Thilen SR. Comparison of train-of-four count by anesthesia providers versus TOF-Watch(R) SX: a prospective cohort study. Can J Anaesth. 2015;62(10):1089–96. https://doi.org/10.1007/s12630-015-0433-9.

    Article  PubMed  Google Scholar 

  16. Murphy GS, Szokol JW, Marymont JH, Greenberg SB, Avram MJ, Vender JS. Residual neuromuscular blockade and critical respiratory events in the postanesthesia care unit. Anesth Analg. 2008;107(1):130–7. https://doi.org/10.1213/ane.0b013e31816d1268.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrew Bowdle.

Ethics declarations

Conflict of interest

Author JH has a financial interest in Blink Device Company (Seattle, WA, USA) which supplied the TwitchView and GE electromyograph monitors used in this study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Electronic supplementary material 1 (XLSX 559 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bussey, L., Jelacic, S., Togashi, K. et al. Train-of-four monitoring with the twitchview monitor electctromyograph compared to the GE NMT electromyograph and manual palpation. J Clin Monit Comput 35, 1477–1483 (2021). https://doi.org/10.1007/s10877-020-00615-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10877-020-00615-7

Keywords

Navigation