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临床试验/NCT03866278
NCT03866278已完成不适用

Characterizing the Electroencephalogram Signature of Fentanyl During Induction of General Anesthesia

Massachusetts General Hospital1 个研究点 分布在 1 个国家目标入组 31 人开始时间: 2018年6月27日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
31
试验地点
1
主要终点
Slope of EEG Theta Band Power Over Fentanyl Effect Site Concentration (dB/ng/mL)

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 65 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Undergoing surgery anticipated to take 2 hours or longer

排除标准

  • 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

结局指标

主要结局

Slope of EEG Theta Band Power Over Fentanyl Effect Site Concentration (dB/ng/mL)

时间窗: 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)

时间窗: 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)

时间窗: 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.

时间窗: 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).

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Patrick L. Purdon

Associate Professor of Anesthesia

Massachusetts General Hospital

研究点 (1)

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