Improving Information Extraction From EEG on Cerebral Anesthetic Drug Effects

NCT ID: NCT02043938

Last Updated: 2018-05-02

Study Results

Results available

Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.

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Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

46 participants

Study Classification

INTERVENTIONAL

Study Start Date

2013-12-16

Study Completion Date

2015-06-04

Brief Summary

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This is an interventional, randomized controlled study in health volunteers that involves collecting data on raw EEG waves measuring various combinations of anesthetic drugs during standardized drug titration.

Detailed Description

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Conditions

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Anesthesia

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

OTHER

Blinding Strategy

NONE

Study Groups

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Healthy Volunteers

All healthy volunteers will receive four sessions of anesthesia with different common drug combinations while having SedLine EEG sensors placed on their forehead during these sessions to study the effects of these drugs on the brain. The sessions were: propofol (P), sevoflurane (S), propofol with remifentanil (PR), and sevoflurane with remifentanil (SR).

Group Type EXPERIMENTAL

SedLine EEG sensor

Intervention Type DEVICE

Test subjects in each group will receive the same device intervention (SedLine EEG) to monitor their EEG waves.

Interventions

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SedLine EEG sensor

Test subjects in each group will receive the same device intervention (SedLine EEG) to monitor their EEG waves.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Healthy volunteers aged 18 to 70 years
* 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.
* For this study no control group has been selected as EEG is compared between episodes rather than between individuals (each volunteer is his/her own control)

Exclusion Criteria

Volunteer refusal

* Volunteer \< 18 years and \>70 years
* Pregnancy
* 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 decrease in ejection fraction, arrhythmias, which are either symptomatic or require continuous medication/pacemaker/automatic internal cardioverter defibrillator
* Pulmonary Diseases
* Gastric Diseases
* Endocrinologic diseases
* Recent use of psycho-active medication (benzodiazepines, anti-epileptic drugs, parkinson medication, anti-depressant drugs, opioids) or more than 20g of alcohol daily
Minimum Eligible Age

18 Years

Maximum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University Medical Center Groningen

OTHER

Sponsor Role collaborator

Masimo Corporation

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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University Medical Center Groningen

Groningen, , Netherlands

Site Status

Countries

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Netherlands

References

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Su 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.

Reference Type DERIVED
PMID: 37355412 (View on PubMed)

Su H, Eleveld DJ, Struys MMRF, Colin PJ. Mechanism-based pharmacodynamic model for propofol haemodynamic effects in healthy volunteers☆. Br J Anaesth. 2022 May;128(5):806-816. doi: 10.1016/j.bja.2022.01.022. Epub 2022 Mar 3.

Reference Type DERIVED
PMID: 35249706 (View on PubMed)

Ramaswamy 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.

Reference Type DERIVED
PMID: 33315176 (View on PubMed)

Ramaswamy 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.

Reference Type DERIVED
PMID: 31326088 (View on PubMed)

Kuizenga MH, Colin PJ, Reyntjens KMEM, Touw DJ, Nalbat H, Knotnerus FH, Vereecke HEM, Struys MMRF. Test of neural inertia in humans during general anaesthesia. Br J Anaesth. 2018 Mar;120(3):525-536. doi: 10.1016/j.bja.2017.11.072. Epub 2017 Dec 1.

Reference Type DERIVED
PMID: 29452809 (View on PubMed)

Other Identifiers

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STRU0002

Identifier Type: -

Identifier Source: org_study_id

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