Trial reportJournal of clinical monitoring and computing2025
Precision of electromyography according to the calibration approach of neuromuscular monitoring: a randomised prospective agreement study.
Trial report in Journal of clinical monitoring and computing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04911088 (Does Calibration of Electromyography Guided by State Entropy Improve Measurement Precision), which is not on this map. Cited by 5 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Does Calibration of Electromyography Guided by State Entropy Improve Measurement Precision
Who cites it
5 citing papers in PubMed.
- Quantitative Neuromuscular Monitoring in General Anesthesia: A Systematic Review of Recovery and Safety Outcomes.Cureus · 2026Review
- [Muscle relaxation and neuromuscular monitoring : Current findings and recommendations for the clinical practice].Die Anaesthesiologie · 2026Review
- Paired assessment of two electromyographic neuromuscular monitors: stimpod NMX450X versus Datex-Ohmeda E-NMT.Journal of clinical monitoring and computing · 2026Article
- A single-centre, randomised comparison of the performance and safety of a novel mechanomyography sensor with electromyography.British journal of anaesthesia · 2026Article
- Validity of neuromuscular monitoring: beyond the technology's precision.Journal of clinical monitoring and computing · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAnaesthesia providers often complain that quantitative neuromuscular monitoring does not accurately assess neuromuscular function, a problem that can be mitigated by appropriate calibration. However, there are only very limited recommendations for the calibration of quantitative neuromuscular monitoring in clinical routine. Therefore, this multicentre prospective agreement study compared the precision of electromyography using three different calibration approaches.
methodsSixty patients were assigned to one of three investigational calibration approaches: calibration before anaesthesia induction, calibration during anaesthesia induction, i.e., at loss of consciousness and state entropy < 85, or uncalibrated. All patients received electromyography calibration under deep anaesthesia on the second arm (control as recommended for research). The primary endpoint was the repeatability coefficient, which describes the fluctuation of the following train-of-four (TOF) reading. It therefore provides an estimate of the precision of a measurement method. Secondary endpoints included agreement with control calibration and pain at induction.
resultsThe repeatability coefficient at TOF ratios ≥ 0.8 indicated that electromyography monitoring was less precise when TOF readings were uncalibrated (0.124 ± 0.130) or with calibration during induction (0.087 ± 0.104) but was acceptable after calibration before induction (0.075 ± 0.036) compared to those measured after calibration on the contralateral arm (control: 0.072 ± 0.027, 0.061 ± 0.021, and 0.083 ± 0.063, respectively). Recall of pain at anaesthesia induction did not differ between investigational groups.
conclusionThe findings underline the importance of thoroughly performed calibration for precise TOF readings to reliably exclude residual neuromuscular blockade. Electromyography was most precise when calibration was performed under deep anaesthesia (control). If that approach is not possible in the clinical setting, our data suggest that calibration before anaesthesia induction can be considered if previously discussed with the patient. CLINICAL
trial registrationClinical Trials NCT04911088, registered January 6, 2021.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.