Anesthesia
Conditions
Keywords
Opiate
Brief summary
While historically anesthesiologists rely on pharmacokinetics to track the loss of consciousness, new research in anesthesiology has identified the salient features of the electroencephalogram (EEG) that correlate to states of sedation and unconsciousness induced by different anesthetic drugs. While the EEG features of many sedative-hypnotic anesthetics have been well- characterized, the opioid analgesic drugs have not been analyzed in detail in this way. A characterization of the EEG signatures of opioid analgesic drugs could be useful in monitoring and titrating the effects of these drugs.
Detailed description
Fentanyl is one of the most commonly used opioid analgesic drugs. Prior to induction of general anesthesia, fentanyl is frequently administered to blunt the nociceptive response to intubation. A typical scenario is to administer 2 to 4 mcg/kg of fentanyl first, followed by a sedative hypnotic drug such as propofol to induce general anesthesia. In this study, we propose to administer a total of 4 mcg/kg of fentanyl, administered in 2 boluses, before administering a sedative hypnotic drug. At this dose, fentanyl will serve to blunt nociception during intubation, but will also contribute to intraoperative pain management. During this time, we will record the EEG using standard EEG-based anesthetic monitors that are routinely used in the operating room. We will assess the patient's level of responsiveness using an auditory task and ulnar nerve stimulation. These measurements will allow us to identify the EEG signatures of fentanyl for future use in EEG-based anesthetic monitoring. During this study we will measure EEG and responses to auditory and ulnar nerve stimuli during induction of general anesthesia in surgical patients. The anesthetic will be administered according to a typical sequence in which fentanyl is first administered, followed by a sedative hypnotic drug for induction of general anesthesia. The primary difference is that, in this study, we will record the EEG and response data for a short period of time after initial administration of fentanyl and prior to administration of a sedative hypnotic drug to induce general anesthesia.
Interventions
None listed
Sponsors
National Institute on Drug Abuse (NIDA)
Massachusetts General Hospital
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 65 Years
Inclusion criteria
-Undergoing surgery anticipated to take 2 hours or longer
Exclusion criteria
* Craniofacial abnormalities * Allergies to fentanyl, bisulfite, eggs or egg products, latex, soybeans, soybean oil BMI ≤ 30 (kg/m2) * Known or suspected difficult intubation * Known or suspected need for rapid sequence induction and intubation * History of obstructive sleep apnea requiring CPAP * History of uncontrolled gastroesophageal reflux disease (GERD) * Opiate use within 24 hours * History of opiate abuse within 3 years
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Slope of EEG Theta Band Power Over Fentanyl Effect Site Concentration (dB/ng/mL) | Twenty minutes prior to surgery | We estimated the fentanyl effect site concentration (ESC) in (nanograms/mL) using pharmacokinetic/pharmacodynamic (PK/PD) modeling implemented in StanpumpR. We estimated EEG power using multitaper spectral analysis and calculated the power in decibels (dB) within the theta band (4 - 8 Hz). To quantify the relationship between the EEG and fentanyl concentration, we constructed a linear mixed-effects model representing fentanyl concentration as a function of theta power. |
| Slope of Minute Ventilation Index Over Theta Band Power (Index/dB) | Twenty minutes prior to surgery | Minute ventilation is a physiological term that refers to the total volume of air a person breathes in and out of their lungs in one minute. To calculate this we measured the chest and abdominal expansion and contraction and estimated the instantaneous frequency and instantaneous amplitude. This measure is relative to a baseline minute ventilation defined as tidal volume and is therefore a dimensionless number between 0 and 1 where 1 is equivalent to the baseline tidal volume. We estimated the EEG power in decibels (dB) within the theta band range (4-8 Hz). To characterize the relationship between theta band power and respiratory changes (Minute Ventilation Index) we constructed a mixed-effects model. |
| Slope of Response Time Over Minute Ventilation Index (Milliseconds/Index) | Twenty minutes prior to surgery | We measured the response time to auditory stimuli in milliseconds. We measured the changes in Minute Ventilation by estimating the instantaneous frequency and instantaneous amplitude of respiratory inductance bands. This measure is relative to a baseline minute ventilation defined as tidal volume and is therefore a dimensionless number between 0 and 1 where 1 is equivalent to the baseline tidal volume. We used a linear mixed-effects models to characterize reaction time as a function of minute ventilation index. |
| Changes in Reaction Time as a Function of Theta Power. | Twenty minutes before the surgery. | We measured the response time to auditory stimuli in milliseconds. We estimated EEG power using multitaper spectral analysis and calculated the power in decibels (dB) within the theta band (4 - 8 Hz). |
Countries
United States
Participant flow
Participants by arm
| Arm | Count |
|---|---|
| Study Group Only arm of the study. Subjects received an anesthetic dose of fentanyl during induction to general anesthesia while having vitals and frontal electroencephalogram monitored. | 25 |
| Total | 25 |
Baseline characteristics
| Characteristic | Study Group |
|---|---|
| Age, Continuous | 54 years STANDARD_DEVIATION 10.1 |
| Ethnicity (NIH/OMB) Hispanic or Latino | 1 Participants |
| Ethnicity (NIH/OMB) Not Hispanic or Latino | 22 Participants |
| Ethnicity (NIH/OMB) Unknown or Not Reported | 2 Participants |
| Race (NIH/OMB) American Indian or Alaska Native | 0 Participants |
| Race (NIH/OMB) Asian | 1 Participants |
| Race (NIH/OMB) Black or African American | 0 Participants |
| Race (NIH/OMB) More than one race | 0 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 0 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 1 Participants |
| Race (NIH/OMB) White | 23 Participants |
| Region of Enrollment United States | 25 participants |
| Sex: Female, Male Female | 12 Participants |
| Sex: Female, Male Male | 13 Participants |
Adverse events
| Event type | EG000 affected / at risk |
|---|---|
| deaths Total, all-cause mortality | 0 / 28 |
| other Total, other adverse events | 1 / 28 |
| serious Total, serious adverse events | 0 / 28 |
Outcome results
Primary
Changes in Reaction Time as a Function of Theta Power.
We measured the response time to auditory stimuli in milliseconds. We estimated EEG power using multitaper spectral analysis and calculated the power in decibels (dB) within the theta band (4 - 8 Hz).
Time frame: Twenty minutes before the surgery.
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Study Group | Changes in Reaction Time as a Function of Theta Power. | 30.11 milliseconds/decibels |
Primary
Slope of EEG Theta Band Power Over Fentanyl Effect Site Concentration (dB/ng/mL)
We estimated the fentanyl effect site concentration (ESC) in (nanograms/mL) using pharmacokinetic/pharmacodynamic (PK/PD) modeling implemented in StanpumpR. We estimated EEG power using multitaper spectral analysis and calculated the power in decibels (dB) within the theta band (4 - 8 Hz). To quantify the relationship between the EEG and fentanyl concentration, we constructed a linear mixed-effects model representing fentanyl concentration as a function of theta power.
Time frame: Twenty minutes prior to surgery
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Study Group | Slope of EEG Theta Band Power Over Fentanyl Effect Site Concentration (dB/ng/mL) | 0.55 dB / nano gram / mL |
Primary
Slope of Minute Ventilation Index Over Theta Band Power (Index/dB)
Minute ventilation is a physiological term that refers to the total volume of air a person breathes in and out of their lungs in one minute. To calculate this we measured the chest and abdominal expansion and contraction and estimated the instantaneous frequency and instantaneous amplitude. This measure is relative to a baseline minute ventilation defined as tidal volume and is therefore a dimensionless number between 0 and 1 where 1 is equivalent to the baseline tidal volume. We estimated the EEG power in decibels (dB) within the theta band range (4-8 Hz). To characterize the relationship between theta band power and respiratory changes (Minute Ventilation Index) we constructed a mixed-effects model.
Time frame: Twenty minutes prior to surgery
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Study Group | Slope of Minute Ventilation Index Over Theta Band Power (Index/dB) | -1.62 index/dB |
Primary
Slope of Response Time Over Minute Ventilation Index (Milliseconds/Index)
We measured the response time to auditory stimuli in milliseconds. We measured the changes in Minute Ventilation by estimating the instantaneous frequency and instantaneous amplitude of respiratory inductance bands. This measure is relative to a baseline minute ventilation defined as tidal volume and is therefore a dimensionless number between 0 and 1 where 1 is equivalent to the baseline tidal volume. We used a linear mixed-effects models to characterize reaction time as a function of minute ventilation index.
Time frame: Twenty minutes prior to surgery
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Study Group | Slope of Response Time Over Minute Ventilation Index (Milliseconds/Index) | -1.94 milliseconds/index |