Depth of Anesthesia and Nociception Monitoring: Current State and Vision For 2050.

Autor:	Laferrière-Langlois P; From the Maisonneuve-Rosemont Research Center, CIUSSS de l'Est de L'Ile de Montréal, Montreal, Quebec, Canada.; Department of Anesthesiology and Pain Medicine, Montreal University, Montreal, Quebec, Canada., Morisson L; Department of Anesthesiology and Pain Medicine, Montreal University, Montreal, Quebec, Canada., Jeffries S; Department of Experimental Surgery, McGill University, Montreal, Quebec, Canada., Duclos C; Department of Anesthesiology and Pain Medicine, Montreal University, Montreal, Quebec, Canada., Espitalier F; Department of Anesthesia and Intensive Care, University Hospitals of Tours, Tours, France., Richebé P; From the Maisonneuve-Rosemont Research Center, CIUSSS de l'Est de L'Ile de Montréal, Montreal, Quebec, Canada.; Department of Anesthesiology and Pain Medicine, Montreal University, Montreal, Quebec, Canada.
Jazyk:	angličtina
Zdroj:	Anesthesia and analgesia [Anesth Analg] 2024 Feb 01; Vol. 138 (2), pp. 295-307. Date of Electronic Publication: 2024 Jan 12.
DOI:	10.1213/ANE.0000000000006860
Abstrakt:	Anesthesia objectives have evolved into combining hypnosis, amnesia, analgesia, paralysis, and suppression of the sympathetic autonomic nervous system. Technological improvements have led to new monitoring strategies, aimed at translating a qualitative physiological state into quantitative metrics, but the optimal strategies for depth of anesthesia (DoA) and analgesia monitoring continue to stimulate debate. Historically, DoA monitoring used patient's movement as a surrogate of awareness. Pharmacokinetic models and metrics, including minimum alveolar concentration for inhaled anesthetics and target-controlled infusion models for intravenous anesthesia, provided further insights to clinicians, but electroencephalography and its derivatives (processed EEG; pEEG) offer the potential for personalization of anesthesia care. Current studies appear to affirm that pEEG monitoring decreases the quantity of anesthetics administered, diminishes postanesthesia care unit duration, and may reduce the occurrence of postoperative delirium (notwithstanding the difficulties of defining this condition). Major trials are underway to further elucidate the impact on postoperative cognitive dysfunction. In this manuscript, we discuss the Bispectral (BIS) index, Narcotrend monitor, Patient State Index, entropy-based monitoring, and Neurosense monitor, as well as middle latency evoked auditory potential, before exploring how these technologies could evolve in the upcoming years. In contrast to developments in pEEG monitors, nociception monitors remain by comparison underdeveloped and underutilized. Just as with anesthetic agents, excessive analgesia can lead to harmful side effects, whereas inadequate analgesia is associated with increased stress response, poorer hemodynamic conditions and coagulation, metabolic, and immune system dysregulation. Broadly, 3 distinct monitoring strategies have emerged: motor reflex, central nervous system, and autonomic nervous system monitoring. Generally, nociceptive monitors outperform basic clinical vital sign monitoring in reducing perioperative opioid use. This manuscript describes pupillometry, surgical pleth index, analgesia nociception index, and nociception level index, and suggest how future developments could impact their use. The final section of this review explores the profound implications of future monitoring technologies on anesthesiology practice and envisages 3 transformative scenarios: helping in creation of an optimal analgesic drug, the advent of bidirectional neuron-microelectronic interfaces, and the synergistic combination of hypnosis and virtual reality. Competing Interests: Conflicts of Interest: See Disclosures at the end of the article. (Copyright © 2023 International Anesthesia Research Society.)
Databáze:	MEDLINE
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