Pharmacodynamic Interaction of REMI and DMED
PIRAD
Pharmacodynamic Interactions Between Remifentanil and Dexmedetomidine (PIRAD)
1 other identifier
interventional
30
1 country
1
Brief Summary
The objective is to map the pharmacokinetic / pharmacodynamic interaction between dexmedetomidine and remifentanil by observing changes in anesthetic depth. These changes will be related to drug concentrations using pharmacokinetic/pharmacodynamic (PKPD) modeling.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for phase_4
Started Jun 2017
Shorter than P25 for phase_4
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 14, 2017
CompletedFirst Posted
Study publicly available on registry
May 8, 2017
CompletedStudy Start
First participant enrolled
June 28, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 23, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
February 23, 2018
CompletedApril 18, 2024
April 1, 2024
8 months
March 14, 2017
April 16, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Tolerance of Laryngoscopy (TOL)
Tolerance of a laryngoscopy (yes/no) will be tested at the end of each infusion step during both studydays, when MOAA/s is 0 / 1 and will be related to the drug concentration(s).
35 - 255 minutes
Secondary Outcomes (3)
Modified observer's assessment of alertness and sedation scale (MOAA/s)
During anesthesia sessions day 1 and day 2
Electrical stimulus
During anesthesia sessions day 1 and day 2
Electroencephalogram (EEG)
During anesthesia sessions day 1 and day 2
Study Arms (3)
Dexmedetomidine only
EXPERIMENTALDexmedetomidine will be administered by effect-site TCI according to the Hannivoort model extended with an effect-site rate constant of 0.0428min-1. A stepwise increasing dosing regimen will be given, with concentrations targeting an effect site concentration of 1 ng/ml (40 min), 3 ng/ml (50 min), 4 ng/ml (40 min), 5 ng/ml (40 min) and 8 ng/ml (70 min).
Remifentanil only
EXPERIMENTALRemifentanil will be administered by effect-site TCI according to the Eleveld model. A stepwise increasing dosing regimen will be given, with concentrations targeting an effect site concentration of 1 ng/ml (12 min), 2 ng/ml (12 min), 3 ng/ml (12 min), 5 ng/ml (12 min) and 7 ng/ml (12 min).
Dexmedetomidine-Remifentanil interaction
EXPERIMENTALA fixed background dose of dexmedetomidine will be given, this will be calculated after the first 5 subjects completed the dexmedetomidine only session. It will be set to 50% of the observed mean EC50TOL (Tolerance of Laryngoscopy). Remifentanil infusion will be administered by effect site TCI with stepwise increasing targets of 0.5 - 1.0 - 1.5 - 2.0 - 2.5 - 3.0 - 4.0 ng/ml, each lasting for 15 minutes.
Interventions
Single drug administration
Single drug administration
Eligibility Criteria
You may qualify if:
- American Society of Anesthesiologists (ASA) Physical Status 1
- No medical history of significance
- No chronic use of medication, drugs, tobacco or more than 20 gr alcohol daily (oral contraceptives excluded).
- Concerning the cognitive function: Volunteers are considered to have sufficient cognitive reserve if they are able to read and comprehend the patient information form, if they can adequately answer the anamnestic questions during the screening process and if they are allowed to provide legitimate written informed consent.
- No selection will be made regarding ethnic background
You may not qualify if:
- Known intolerance to dexmedetomidine or remifentanil
- Volunteer refusal
- Age \< 18 years or \>70 years
- Pregnancy, or currently nursing
- Hairstyle with dreadlocks (EEG-monitoring will not be possible)
- Body mass index (BMI) \<18 or \>30 kg/m2.
- Neurological disorder (epilepsy, the presence of a brain tumor, a history of brain surgery, hydrocephalic disorders, depression needing treatment with anti-depressive drugs, a history of brain trauma, a subarachnoidal bleeding, TIA or cerebral infarct, psychosis or dementia , schizophrenia, alcohol or drug abuse).
- Diseases involving the cardiovascular system (hypertension, coronary artery disease, prior acute myocardial infarction, any valvular and/or myocardial disease involving
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University Medical Center Groningen
Groningen, 9713EZ, Netherlands
Related Publications (6)
Hannivoort LN, Eleveld DJ, Proost JH, Reyntjens KM, Absalom AR, Vereecke HE, Struys MM. Development of an Optimized Pharmacokinetic Model of Dexmedetomidine Using Target-controlled Infusion in Healthy Volunteers. Anesthesiology. 2015 Aug;123(2):357-67. doi: 10.1097/ALN.0000000000000740.
PMID: 26068206BACKGROUNDSu H, Koomen JV, Eleveld DJ, Struys MMRF, Colin PJ. Pharmacodynamic mechanism-based interaction model for the haemodynamic effects of remifentanil and propofol in healthy volunteers. Br J Anaesth. 2023 Aug;131(2):222-233. doi: 10.1016/j.bja.2023.04.043. Epub 2023 Jun 22.
PMID: 37355412DERIVEDRamaswamy SM, Kuizenga MH, Weerink MAS, Vereecke HEM, Struys MMRF, Belur Nagaraj S. Frontal electroencephalogram based drug, sex, and age independent sedation level prediction using non-linear machine learning algorithms. J Clin Monit Comput. 2022 Feb;36(1):121-130. doi: 10.1007/s10877-020-00627-3. Epub 2020 Dec 14.
PMID: 33315176DERIVEDRamaswamy SM, Weerink MAS, Struys MMRF, Nagaraj SB. Dexmedetomidine-induced deep sedation mimics non-rapid eye movement stage 3 sleep: large-scale validation using machine learning. Sleep. 2021 Feb 12;44(2):zsaa167. doi: 10.1093/sleep/zsaa167.
PMID: 32860500DERIVEDBelur Nagaraj S, Ramaswamy SM, Weerink MAS, Struys MMRF. Predicting Deep Hypnotic State From Sleep Brain Rhythms Using Deep Learning: A Data-Repurposing Approach. Anesth Analg. 2020 May;130(5):1211-1221. doi: 10.1213/ANE.0000000000004651.
PMID: 32287128DERIVEDRamaswamy SM, Kuizenga MH, Weerink MAS, Vereecke HEM, Struys MMRF, Nagaraj SB. Novel drug-independent sedation level estimation based on machine learning of quantitative frontal electroencephalogram features in healthy volunteers. Br J Anaesth. 2019 Oct;123(4):479-487. doi: 10.1016/j.bja.2019.06.004. Epub 2019 Jul 18.
PMID: 31326088DERIVED
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Michel MR Struys, Prof.Dr.
University Medical Center Groningen
Study Design
- Study Type
- interventional
- Phase
- phase 4
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 14, 2017
First Posted
May 8, 2017
Study Start
June 28, 2017
Primary Completion
February 23, 2018
Study Completion
February 23, 2018
Last Updated
April 18, 2024
Record last verified: 2024-04