Literature DB >> 31425170

Pharmacodynamic Interaction of Remifentanil and Dexmedetomidine on Depth of Sedation and Tolerance of Laryngoscopy.

Maud A S Weerink1, Clemens R M Barends, Ernesto R R Muskiet, Koen M E M Reyntjens, Froukje H Knotnerus, Martine Oostra, Jan F P van Bocxlaer, Michel M R F Struys, Pieter J Colin.   

Abstract

BACKGROUND: Dexmedetomidine is a sedative with modest analgesic efficacy, whereas remifentanil is an opioid analgesic with modest sedative potency. Synergy is often observed when sedative-hypnotics are combined with opioid analgesics in anesthetic practice. A three-phase crossover trial was conducted to study the pharmacodynamic interaction between remifentanil and dexmedetomidine.
METHODS: After institutional review board approval, 30 age- and sex- stratified healthy volunteers were studied. The subjects received consecutive stepwise increasing target-controlled infusions of dexmedetomidine, remifentanil, and remifentanil with a fixed dexmedetomidine background concentration. Drug effects were measured using binary (yes or no) endpoints: no response to calling the subject by name, tolerance of shaking the patient while shouting the name ("shake and shout"), tolerance of deep trapezius squeeze, and tolerance of laryngoscopy. The drug effect was measured using the electroencephalogram-derived "Patient State Index." Pharmacokinetic-pharmacodynamic modeling related the administered dexmedetomidine and remifentanil concentration to these observed effects.
RESULTS: The binary endpoints were correlated with dexmedetomidine concentrations, with increasing concentrations required for increasing stimulus intensity. Estimated model parameters for the dexmedetomidine EC50 were 2.1 [90% CI, 1.6 to 2.8], 9.2 [6.8 to 13], 24 [16 to 35], and 35 [23 to 56] ng/ml, respectively. Age was inversely correlated with dexmedetomidine EC50 for all four stimuli. Adding remifentanil did not increase the probability of tolerance of any of the stimuli. The cerebral drug effect as measured by the Patient State Index was best described by the Hierarchical interaction model with an estimated dexmedetomidine EC50 of 0.49 [0.20 to 0.99] ng/ml and remifentanil EC50 of 1.6 [0.87 to 2.7] ng/ml.
CONCLUSIONS: Low dexmedetomidine concentrations (EC50 of 0.49 ng/ml) are required to induce sedation as measured by the Patient State Index. Sensitivity to dexmedetomidine increases with age. Despite falling asleep, the majority of subjects remained arousable by calling the subject's name, "shake and shout," or a trapezius squeeze, even when reaching supraclinical concentrations. Adding remifentanil does not alter the likelihood of response to graded stimuli.

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Year:  2019        PMID: 31425170     DOI: 10.1097/ALN.0000000000002882

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  6 in total

Review 1.  General Purpose Pharmacokinetic-Pharmacodynamic Models for Target-Controlled Infusion of Anaesthetic Drugs: A Narrative Review.

Authors:  Ophélie Vandemoortele; Laura N Hannivoort; Florian Vanhoorebeeck; Michel M R F Struys; Hugo E M Vereecke
Journal:  J Clin Med       Date:  2022-04-28       Impact factor: 4.964

2.  A systematic review and meta-analysis of the safety and efficacy of remifentanil and dexmedetomidine for awake fiberoptic endoscope intubation.

Authors:  Zhi-Hang Tang; Qi Chen; Xia Wang; Nan Su; Zhengyuan Xia; Yong Wang; Wu-Hua Ma
Journal:  Medicine (Baltimore)       Date:  2021-04-09       Impact factor: 1.817

3.  Population Pharmacodynamic Modeling Using the Sigmoid Emax Model: Influence of Inter-individual Variability on the Steepness of the Concentration-Effect Relationship. a Simulation Study.

Authors:  Johannes H Proost; Douglas J Eleveld; Michel M R F Struys
Journal:  AAPS J       Date:  2020-12-24       Impact factor: 4.009

4.  Retrospective analysis of remifentanil combined with dexmedetomidine intravenous anesthesia combined with brachial plexus block on shoulder arthroscopic surgery in elderly patients.

Authors:  Yan Zhang; Lingling Zhao; Liangce Lv; Songxue Li
Journal:  Pak J Med Sci       Date:  2022 Jul-Aug       Impact factor: 2.340

5.  Predicting Deep Hypnotic State From Sleep Brain Rhythms Using Deep Learning: A Data-Repurposing Approach.

Authors:  Sunil Belur Nagaraj; Sowmya M Ramaswamy; Maud A S Weerink; Michel M R F Struys
Journal:  Anesth Analg       Date:  2020-05       Impact factor: 5.108

6.  Dexmedetomidine-induced deep sedation mimics non-rapid eye movement stage 3 sleep: large-scale validation using machine learning.

Authors:  Sowmya M Ramaswamy; Maud A S Weerink; Michel M R F Struys; Sunil B Nagaraj
Journal:  Sleep       Date:  2021-02-12       Impact factor: 5.849

  6 in total

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