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Enregistrement W2088714226 · doi:10.1097/00000539-200212000-00086

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

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

Notice bibliographique

RevueAnesthesia & Analgesia · 2002
Typeletter
Langueen
DomaineMedicine
ThématiqueAnesthesia and Sedative Agents
Établissements canadiensUniversité de Montréal
Organismes subventionnairesnon disponible
Mots-clésNeuromuscular monitoringMedicineNeuromuscular BlockadeSIGNAL (programming language)ThumbAnesthesiaRocuroniumCompound muscle action potentialPhysical medicine and rehabilitationElectrophysiologyComputer scienceInternal medicineSurgeryPropofol

Résumé

récupéré en direct d'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

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMéta-épidémiologie (sens strict), Intégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,180
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0030,006
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,049
Tête enseignante GPT0,327
Écart entre enseignants0,279 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations15
Publié2002
Routes d'admission1
Résumé présentoui

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