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Enregistrement W2092931305 · doi:10.1097/00000542-200702000-00045

Neurophysiological Monitoring during Intensive Care and Surgery.

2007· article· en· W2092931305 sur OpenAlexaffabout
Gilles Plourde, Mark A. Warner

Notice bibliographique

RevueAnesthesiology · 2007
Typearticle
Langueen
DomaineMedicine
ThématiqueIntraoperative Neuromonitoring and Anesthetic Effects
Établissements canadiensMcGill UniversityMontreal Neurological Institute and Hospital
Organismes subventionnairesnon disponible
Mots-clésMedicineIntensive careIntraoperative neurophysiological monitoringNeurophysiologyIntensive care medicineAnesthesiaPsychiatry

Résumé

récupéré en direct d'OpenAlex

Montreal Neurological Hospital, McGill University, Montreal, Quebec, Canada. gilles.plourde@mcgill.caNeurophysiological Monitoring during Intensive Care and Surgery. By N. Jollyon Smith, M.A., F.R.C.P., Mark van Gils, Ph.D., and Pamela Prior, M.D., F.R.C.P. Amsterdam, Mosby/Elsevier, 2006. Pages: 390. Price: $69.95.Permanent damage to the nervous system resulting from injury sustained during neurosurgical, orthopedic, or vascular procedures is often devastating. Prevention of this much feared complication depends on proper surgical technique and on early detection of untoward events to ensure prompt corrective action. Early detection depends almost exclusively on the use of neurophysiological techniques to monitor the integrity of neural pathways during the surgical procedure. Despite remarkable technological advances, the practice of neuromonitoring remains a complex endeavor because it relies on small bioelectric signals that must be recorded rapidly and reliably in electrically hostile environments during complicated, often challenging clinical situations. This book offers a comprehensive review of this complex and fascinating field. The editors have recruited expert European neurophysiologists to provide in-depth coverage of all relevant topics. Although the emphasis clearly is on monitoring the integrity of neural pathways, depth of anesthesia monitoring and the detection of unintentional intraoperative awareness are also well covered. A variety of anesthesia monitors (cerebral function analyzing monitor [CFAM; RDM Consultants, Uckfield, Sussex, United Kingdom], advanced depth of anesthesia monitor, Bispectral Index [Aspect Medical Systems, Norwood, MA], Patient State Index [Hospira, Lake Forest, IL], Narcotrend [Arbeitsgruppe Informatik/Biometrie Anästhesie Klinikum, Hannover, Germany], entropy measures [GE Health Care, Helsinki, Finland], AEP Index [Danmeter A/S, Odense, Denmark]) are presented along with a very interesting historical review of the early use of the electroencephalogram during chloroform anesthesia by the neurologist Hans Berger, M.D. (University of Jena, Jena, Thuringia, Germany) (1873-1941) (who in the 1920s made the first recordings of the electroencephalogram in humans) and of the early attempts to develop automated monitors.The book covers all aspects of neurophysiological monitoring: the physiologic bases of biologic potentials (electroencephalogram, sensory and motor evoked potentials, electromyogram/nerve conduction), the methodological principles for recording these responses, the effects of pathological and pharmacological factors. Attention is also given to the critical issue of interpretation of the findings, with a detailed section of how to assess the results of monitoring efforts (sensitivity, specificity, predictive value). The neurophysiological instrumentation required for recording biopotentials is described clearly for each application (electroencephalogram, sensory and motor evoked potentials, electromyogram) with explanations of the technical aspects involved (electrode placement, process of amplification, signal acquisition and processing), including safety considerations. A chapter is devoted to normal and pathologic phenomena in electroencephalogram, evoked potentials, and electromyogram/nerve conduction studies. This information, which is rarely found in anesthesia-oriented monitoring books, is elegantly presented and provides a gentle introduction to the topic. There is abundant information on neurophysiological monitoring during sedation and anesthesia, as well as on the clinical conditions observed in intensive care units. The chapter on neurophysiological monitoring during surgical operations (scoliosis correction, interventions on or near cranial nerves) is admittedly the most important for the nonspecialist. It offers clear and concise descriptions of the current techniques with a fairly balanced view of their performance. I would, however, have liked a more elaborate coverage of the techniques generally considered the most useful, such as sensory and motor evoked potentials during scoliosis surgery or facial nerve electromyogram during posterior fossa surgery (as opposed to, for example, the use of electroencephalogram or evoked potentials to decrease neurologic deficit after cerebral aneurysm surgery or carotid surgery). The chapter on advanced signal processing (filtering, artifact detection/exclusion, and wavelet analysis, among others) and statistical methods (pattern matching, process control, decision assistance, and others) shows what developments to expect in the future. The last chapter concerns the legal implications of monitoring and includes practical advice on good practice.This is an attractive book that will primarily interest those already familiar with the field. It will not replace basic textbooks devoted to the electroencephalogram and evoked potentials, but it provides a broad, contextual overview of this critical field along with a detailed description of the relevant physiologic, technological, pharmacological, and pathologic factors involved. It will also be of great value as a comprehensive reference in departmental libraries, where it may also well attract the attention of keen students and residents interested in monitoring the nervous system during anesthesia and surgery.Montreal Neurological Hospital, McGill University, Montreal, Quebec, Canada. gilles.plourde@mcgill.ca

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,148
Score d'incertitude au seuil0,490

Scores Codex et Gemma par catégorie

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

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 Opus0,022
Tête enseignante GPT0,285
Écart entre enseignants0,263 · 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; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations1
Publié2007
Routes d'admission2
Résumé présentoui

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