Relationship Between the Depth of Anesthesia and Auditory Evoked Potentials (P3a)

NCT ID: NCT05283018

Last Updated: 2023-10-25

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

50 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-12-31

Study Completion Date

2024-12-31

Brief Summary

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The interest of perioperative cerebral monitoring and in particular electroencephalography (EEG) to reduce neurological and cognitive damage in surgery has been the subject of abundant research and corresponds to a crucial issue. There is increasing evidence to suggest that inadequate (overdosed) anesthesia for patient characteristics and intraoperative hemodynamic instability is associated with an increased risk of complications including postoperative cognitive dysfunction and postoperative mortality.

However, these devices have many limitations in use, in particular their consideration of the muscle component of the electrical signal collected.There are other identifiable EEG signals that can be used to assess the depth of anesthesia, in particular auditory evoked potentials (AEPs).

The so-called rough sound waves correspond to a formulation composed of the rapid repetition of acoustic segments, at a frequency of 30 to 150 Hz.This frequency (whether sound or light) induces a temporal activation that captures attention and provokes unpleasant sensations and avoidance strategies when perceived by a subject.

This project aims at overcoming the interaction of the muscular electrical signal by evaluating the electrophysiological response (auditory evoked potentials) to particular sound stimuli, called "rough", thus underpinning the understanding of the mechanisms of neurosensory integration and attention during a state of loss of consciousness or altered consciousness.

The hypothesis proposed for this study is the following: the P3a wave (positive wave collected on the EEG during auditory evoked potentials) is altered during general anesthesia, in frequency and amplitude, and thus is indicative of the depth of the anesthetic state.

Detailed Description

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Monitoring the depth of anesthesia remains a challenge for anesthesiologists. There is increasing evidence to suggest that inadequate (overdosed) anesthesia for patient characteristics and intraoperative hemodynamic instability is associated with an increased risk of postoperative complications and mortality.

Monitoring of cortical electroencephalogram (EEG) analysis has developed over time to address three daily issues:

* Prevention of hypnotic overdose
* The prevention of hypnotic underdosing, exposing to an increased risk of explicit perianesthetic memory
* The discussed relationship between a poor electroencephalographic trace, associated with a lowered blood pressure and a low dose of hypnotics used, and mortality at a distance from the anesthetic act (triple low concept).

However, these devices have many limitations in use, in particular their consideration of the muscle component of the electrical signal collected.

However, there are other identifiable EEG signals that can be used to assess the depth of anesthesia, in particular auditory evoked potentials.

The technique currently used to monitor the depth of anesthesia is the measurement of the bispectral index. However, this technique has its limits of use linked to the possible modifications of their interpretability by certain pharmacological agents (ketamine, high dose morphinics, Neuromuscular blockers, beta-blockers and ephedrine), by the electric scalpel and by persistent muscle contractions. In addition, the delay in analysis (about 30 seconds) may delay the interpretation of the result and the resulting therapeutic interventions.

The study of auditory evoked potentials seems to provide an alternative. Indeed, it has been shown in several studies that the P300 wave (or P3), a positive wave appearing at 300ms of stimulation) is partially inhibited by anesthesia and that its amplitude could be correlated to its depth.

These P300 waves are not affected by the different factors that can disturb the analysis of the bispectral index.

The rapid repetition of a sound or light signal produces a marked activation of certain neuronal chains in the temporal areas, particularly involved in the field of attention. This can induce undesired sensations and promote avoidance and distancing from the source. The repetition of a signal at a frequency of 40 to 80 Hz is perceived as particularly provoking.

Rough sounds synchronize auditory cortical regions as well as some frontal and limbic cortical regions and other subcortical regions.

This also suggests that the negative perception of rough sounds would be related to their ability to take control of neural networks usually involved in negative emotions and pain integration

The hypothesis proposed for this study is the following: the P3a wave (positive wave collected on the EEG during auditory evoked potentials) is altered during general anesthesia, in frequency and amplitude, and thus is indicative of the depth of the anesthetic state

Patients over 18 years old are eligible to participate in this protocol. During the anaesthesia consultation, they will be given a letter of information on the objectives and progress of the study. Their non-opposition to participating in this study will be collected at the latest during the pre-anaesthetic visit, the day before the operation, after a period of reflection. The patient will be offered to listen to the sounds used during this visit.

The protocol will start on the day of the operation. The procedures will be performed under general anesthesia. The protocol does not interact with the care procedure.

On the day of the procedure, a headset that is not a medical device is placed on the patient's ears. The P3a wave is collected using the EEG headband used in the operating room (Bispectral Index-BIS or PSI) to monitor the depth of anesthesia. The detection of this wave involves a post-processing phase of the signal and does not influence the anesthetist in charge of the patient.

The remaining non-invasive monitoring of brain function includes frontal EEG (Bispectral Index, BIS), bilateral transcranial Doppler, and a NIRS sensor used routinely for this type of procedure.

No invasive devices were used in addition to those required for anesthesia. All the monitoring instruments described above, except the one studied, are already used routinely in the department. The duration of anesthesia is not prolonged for the study.

The sound signals are emitted during the awake phase, the anesthetic induction and the awakening phase.

No additional examination will be performed. The anesthetic strategy is decided by the anesthesiologist in charge of the procedure.

The physician in charge of the study collecting the data does not intervene at any time in the management of the patient. The measures cannot influence the prescribing physician since at this stage the data are not yet analyzed and available.

Pilot study: No calculation of the number of subjects required due to the lack of comparable published data.

Effect size: In a reference article describing the effect of propofol during general anesthesia on P3 wave amplitude and latency, the observed variations in P3 wave latency were of the order of 50%.

Moreover, the proportion of patients for whom a sufficient depth of anesthesia is not reached with discordance between the bispectral index and the clinic is 20%. Assuming in the first group a latency μ\_1=50% with a standard deviation of 10% and in the second group μ\_1= 30% with a standard deviation of 20%. The sample size required to reject the H0 hypothesis: μ\_1=μ\_2 with a significance level of 0.05 and a power of 80% (1 - Type II error) via a Wilcoxon-Mann-Whitney test is N= 43 patients.

A target of 50 patients seems relevant.

The variations of P3 during induction and wake-up will be tested using a Student-t test after testing the normality of the distribution. The correlation between P3 variations and variations of EEG features (Burst suppression, SEF95) during induction and wake-up will be done using Pearson test. A full multivariate analysis will also be performed. All statistical analyses will be performed using R statistical software (The 'R' Foundation for Statistical Computing, Vienna, Austria). Results will be expressed as means (± standard deviation). A p-value of less than 0.05 is considered significant.

Conditions

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General Anesthesia

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Surgery under general anesthesia

Patients undergoing urgent or scheduled surgery at Lariboisière Hospital

Electroencephalogram recording

Intervention Type DEVICE

Brain function monitoring using a Sedline® module (Masimo corporation) to evaluate the state of the brain under anesthesia

Auditory stimulation

Intervention Type OTHER

Monotonous sounds are sent via binaural headphones: a standard item and a distractor item (rough sound). Each stimulus lasts about 300 ms and they are separated by 1.5 to 2 seconds between them; the deviant sound/standard sound ratio is fixed between 1/5 and 1/6.

Transcranial Doppler

Intervention Type DEVICE

Measurement of cerebral blood flow velocity (CFV) with use of Transcranial Doppler ultrasonography. For all patients, CFV (unit cm/s) will be collected over four distinct periods: 1/ baseline or during pre-oxygenation at inspired oxygen fraction (FiO2) of 21% in awake patients; 2/ during anesthetic induction; 3 /deep sleep; 4/ recovery period.

Near-infrared spectroscopy

Intervention Type DEVICE

Continuous measurement of cerebral oxygen saturation (SO2) with Near-infrared spectroscopy (NIRS).

For all patients, SO2 (%) will be collected over four distinct periods: 1/ baseline or during pre-oxygenation at FiO2 of 21% in awake patients; 2/ during anesthetic induction; 3 /deep sleep; 4/ recovery period.

Interventions

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Electroencephalogram recording

Brain function monitoring using a Sedline® module (Masimo corporation) to evaluate the state of the brain under anesthesia

Intervention Type DEVICE

Auditory stimulation

Monotonous sounds are sent via binaural headphones: a standard item and a distractor item (rough sound). Each stimulus lasts about 300 ms and they are separated by 1.5 to 2 seconds between them; the deviant sound/standard sound ratio is fixed between 1/5 and 1/6.

Intervention Type OTHER

Transcranial Doppler

Measurement of cerebral blood flow velocity (CFV) with use of Transcranial Doppler ultrasonography. For all patients, CFV (unit cm/s) will be collected over four distinct periods: 1/ baseline or during pre-oxygenation at inspired oxygen fraction (FiO2) of 21% in awake patients; 2/ during anesthetic induction; 3 /deep sleep; 4/ recovery period.

Intervention Type DEVICE

Near-infrared spectroscopy

Continuous measurement of cerebral oxygen saturation (SO2) with Near-infrared spectroscopy (NIRS).

For all patients, SO2 (%) will be collected over four distinct periods: 1/ baseline or during pre-oxygenation at FiO2 of 21% in awake patients; 2/ during anesthetic induction; 3 /deep sleep; 4/ recovery period.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Major patients (≥ 18 years old)
* Eligible for an outpatient or scheduled surgery procedure under general anesthesia
* Patient who expressed his non-opposition to participation in this research

Exclusion Criteria

* Patient under the age of 18
* Pre-existing auditory sensorineural impairment
* Severe pre-existing cognitive impairment (preoperative mini-mental state examination MMSE \< 24)
* Patient opposed to participation in the protocol
* Pregnant woman
* Patient under judicial protection measure
* Patient without affiliation to a social security scheme
* Patient benefiting from the State medical assistance (AME) programme
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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INSERM UMR-942, Paris, France

OTHER

Sponsor Role collaborator

Laboratoire de Mécanique des Solides, École polytechnique

UNKNOWN

Sponsor Role collaborator

M3DISIM Inria Université Paris-Saclay

UNKNOWN

Sponsor Role collaborator

Assistance Publique - Hôpitaux de Paris

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Joaquim MATEO, MD

Role: STUDY_DIRECTOR

Assistance Publique - Hôpitaux de Paris

Fabrice VALLEE, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Assistance Publique - Hôpitaux de Paris

Locations

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AP-HP, Lariboisière Hospital, Department of Anesthesiology and Intensive Care

Paris, , France

Site Status RECRUITING

Countries

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France

Central Contacts

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Joaquim MATEO, MD

Role: CONTACT

+33 (0)1 49 95 83 74

Fabrice VALLEE, MD, PhD

Role: CONTACT

+33 (0)1 49 95 80 71

Facility Contacts

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Joaquim MATEO, MD

Role: primary

+33 (0)1 49 95 83 74

Fabrice VALLEE, MD, PhD

Role: backup

+33 (0)1 49 95 80 71

Other Identifiers

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2021-A02322-39

Identifier Type: OTHER

Identifier Source: secondary_id

APHP211287

Identifier Type: -

Identifier Source: org_study_id

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