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The M-NMT Mechanosensor Cannot be Considered as a Reliable Clinical Neuromuscular Monitor in Daily Anesthesia Practice

2002· letter· en· W2088714226 on OpenAlexaff
Thomas M. Hemmerling, François Donati

Bibliographic record

VenueAnesthesia & Analgesia · 2002
Typeletter
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsNeuromuscular monitoringMedicineNeuromuscular BlockadeSIGNAL (programming language)ThumbAnesthesiaRocuroniumCompound muscle action potentialPhysical medicine and rehabilitationElectrophysiologyComputer scienceInternal medicineSurgeryPropofol

Abstract

fetched live from OpenAlex

To the Editor: We read with interest the article by Dahaba et al. (1), which evaluated the clinical use of the M-NMT (Datex-Ohmeda, Helsinki, Finland) neuromuscular monitor. However, we have several technical comments and believe that their conclusion that the M-NMT could be a reliable clinical monitor in daily anesthesia practice is not supported by their findings. 1. Information about the physical basis of the M-NMT sensor is incomplete. Dahaba et al. describe it as a “piezoelectric motion sensor measuring the signal generated from the bending and deformation of a piezoelectric sensor wafer strip.” What does that mean? Does it measure movement, and, if so, the extent of the movement, the amplitude of the evoked signal being proportional to the actual extent of the movement of the thumb, or does it simply measure acceleration like acceleromyography? Paloheimo (2) at the Datex-Ohmeda home page describes it as “kinemyography (KMG)” and compares it in one patient with mechanomyography. In this patient, KMG measurements are more sensitive than mechanomyographic measurements, which is in contrast to Dahaba’s findings, the M-NMT monitor being less sensitive than mechanomyography during recovery. Recently, Schwaerzler et al. (3) presented an abstract at the 7th International Neuromuscular meeting, which showed in 20 patients that TOF-ratios of more than 0.7 during recovery of neuromuscular blockade after rocuronium derived using the Datex-Ohmeda™ Mechanosensor and mechanomyography of the thumb can be used interchangeably. The term “mechanosensor” is confusing because it gives the impression that, like mechanomyography, the force is measured. The question remains: what does it actually measure? 2. In a previous study (4), Dahaba et al. presented another piezoelectric train-of-four neuromuscular monitor, the illustration of which is not very different from the current M-NMT mechanosensor. Do the authors know in which way these two devices are related? And do they have any explanation why in the former study, TOF ratio of 0.7 or greater derived using both methods could not be used interchangeably in contrast to the findings in the current study? 3. The most important problem we have with the M-NMT sensor is the fact that only TOF ratio of 0.7 or higher can be used interchangeably with mechanomyography. Although this is better than previously reported for acceleromyography (5), the rest of the pharmacodynamic comparisons with mechanomyography are disappointing. A mean difference of −0.3 min and limits of agreement of 0.4 and −0.2 min for onset time with a mean onset time of 1.5 min can matter clinically and is not superior to other methods such as acceleromyography or electromyography. Furthermore, it would be interesting to determine the agreement with neuromuscular blocking agents of longer onset time, such as cisatracurium. Even more disappointing is the fact that there were important differences between the M-NMT sensor and mechanomyography for the recovery times, such as DUR10or DUR 25, which are important for maintaining surgical neuromuscular blockade and determination of the time for “rescue” reversal. This finding contradicts the conclusion that the M-NMT sensor could be a reliable clinical monitor in daily anesthetic practice. The mere fact that it is integrated into the anesthesia monitor is not enough to qualify it as reliable or even useful. We agree that the M-NMT sensor can be used to determine a TOF ratio of more than 0.7 during recovery of neuromuscular block. However, the device cannot be used to determine accurately neuromuscular blockade for surgery (a neuromuscular blockade of 10–25 % of control twitch height) or early recovery of neuromuscular blockade and can therefore not be considered as a reliable clinical monitor in daily practice. Thomas M. Hemmerling, MD, DEAA François Donati, PhD, MD, FRCPC

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.180
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.327
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations15
Published2002
Admission routes1
Has abstractyes

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