A panel of clinician scientists with expertise in neuromuscular blockade (NMB) monitoring was convened with a charge to prepare a consensus statement on indications for and proper use of such monitors. The aims of this article are to: (a) provide the rationale and scientific basis for the use of quantitative NMB monitoring; (b) offer a set of recommendations for quantitative NMB monitoring standards; (c) specify educational goals; and (d) propose training recommendations to ensure proper neuromuscular monitoring and management. The panel believes that whenever a neuromuscular blocker is administered, neuromuscular function must be monitored by observing the evoked muscular response to peripheral nerve stimulation. Ideally, this should be done at the hand muscles (not the facial muscles) with a quantitative (objective) monitor. Objective monitoring (documentation of train-of-four ratio ≥0.90) is the only method of assuring that satisfactory recovery of neuromuscular function has taken place. The panel also recommends that subjective evaluation of the responses to train-of-four stimulation (when using a peripheral nerve stimulator) or clinical tests of recovery from NMB (such as the 5-second head lift) should be abandoned in favor of objective monitoring. During an interim period for establishing these recommendations, if only a peripheral nerve stimulator is available, its use should be mandatory in any patient receiving a neuromuscular blocking drug. The panel acknowledges that publishing this statement per se will not result in its spontaneous acceptance, adherence to its recommendations, or change in routine practice. Implementation of objective monitoring will likely require professional societies and anesthesia department leadership to champion its use to change anesthesia practitioner behavior.
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http://dx.doi.org/10.1213/ANE.0000000000002670 | DOI Listing |
J Clin Anesth
December 2024
Department of Anesthesiology, Montefiore Medical Center, 111 East 210(th) Street, Bronx, NY 10467, USA.
Background: Residual neuromuscular block (NMB) after anesthesia poses significant risk to patients, which can be reduced by adhering to evidence-based practices for the dosing, monitoring, and reversal of NMB. Incorporation of best practices into routine clinical care remains uneven across providers and institutions, prompting the need for effective implementation strategies.
Methods: An interdisciplinary quality improvement initiative aimed to optimize NMB reversal practices across a large multi-campus urban medical center.
Clin Neurophysiol
December 2024
Nara Medical University, Department of Anesthesiology, Kashihara, Japan. Electronic address:
Anesth Pain Med (Seoul)
November 2024
Department of Anesthesiology and Pain Medicine, Chosun University Hospital, Gwangju, Korea.
Background: Recently, there have been many cases where sugammadex used in traffic accident patients has been deducted from auto insurance claims. This study aims to investigate the characteristics of sugammadex deductions through retrospective analysis.
Methods: We included patients who underwent general anesthesia after traffic accidents at our institution between January 2019 and December 2023.
Nucl Med Biol
November 2024
Department of Pharmaceutical Sciences, University of Toronto, Toronto, ON, Canada; Department of Medical Imaging, University of Toronto, Toronto, ON, Canada; Laboratory Medicine Program, University Health Network, Toronto, ON, Canada. Electronic address:
Introduction: Our objective was to study convection enhanced delivery (CED) of Lu-labeled metal chelating polymer (MCP) conjugated to gold nanoparticles ([Lu]Lu-MCP-AuNP) alone or combined with anti-PD1 immune checkpoint inhibition (ICI) for improving the survival of immunocompetent C57BL/6J mice with orthotopic GL261 murine glioma tumors.
Methods: C57BL/6J mice with GL261 tumors were treated with [Lu]Lu-MCP-AuNP (0.8 or 2.
Environ Sci Technol
December 2024
Department of Civil and Environmental Engineering, The University of Tennessee, Knoxville, Tennessee 37996, United States.
Accurate estimation of atmospheric chemical concentrations from multiple observations is crucial for assessing the health effects of air pollution. However, existing methods are limited by imbalanced samples from observations. Here, we introduce a novel deep-learning model-measurement fusion method (DeepMMF) constrained by physical laws inferred from a chemical transport model (CTM) to estimate NO concentrations over the Continental United States (CONUS).
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