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The goal of this observational study is to determine the relationship between brain activity patterns and recovery time in adult patients (ages 35-50, ASA I-II) undergoing elective general anesthesia.
The main question it aims to answer is:
- Does a lower magnitude of intraoperative alpha wave power correlate with a longer time for patients to emerge from general anesthesia?
Participants will:
Full description
General anesthesia (GA) is an essential technique in modern medicine, used to induce unconsciousness, analgesia, and immobility in patients during surgical procedures. Since no single drug can achieve all these conditions, a combination of agents acting on the central nervous system (CNS) is employed. These include GABAergic hypnotics, such as propofol and halogenated gases; opioids, such as remifentanil and fentanyl; and neuromuscular blocking agents, such as rocuronium. The co-administration of these drugs generates multiple interactions that allow anesthesia to be induced and maintained under predictable conditions, solidifying the concept of "balanced anesthesia." However, one of the major challenges in its management is the adequate titration of drugs according to the individual needs of each patient, in order to avoid both overdosing and underdosing, both of which pose potential risks to patient safety.
In this context, electroencephalography (EEG) has emerged as a key tool for monitoring anesthetic depth, providing real-time information on cerebral activity. The analysis of electroencephalographic patterns and spectrograms, particularly alpha wave power, has proven to be a useful indicator of the degree of decreased cerebral activity during general anesthesia. Furthermore, previous studies suggest that alpha wave power may correlate with anesthesia recovery time (Gutierrez et al., Anesthesia & Analgesia, 2021) and possibly with individual sensitivity to general anesthetics. However, this relationship has not yet been fully elucidated, as a systematic study confirming this correlation has not been conducted. Establishing a correlation between emergence time and alpha band power would allow us to determine individual sensitivity to the effects of general anesthetics.
General Objective:
To determine whether patients who are more sensitive to the effects of general anesthetics have a lower relative power in the alpha band and a longer emergence time from general anesthesia.
Specific Objectives:
Working Hypothesis Patients exhibiting greater cerebral sensitivity to general anesthetics, as indicated by a lower magnitude of relative alpha power during the maintenance phase, will experience a statistically significant prolongation of the anesthetic emergence time.
Methodology Materials and Methods: Subjects Following approval by the Ethics Committee of the Hospital Clínico Universidad de Chile, we will conduct an observational study on a cohort of patients undergoing general anesthesia. Given that only parameters obtained from a monitor and the time it takes for a patient to recover consciousness will be observed, an exemption from obtaining informed consent was approved by the ethics committee.
Study Protocol Patients will undergo conventional general anesthesia without major interventions. A BIS™ anesthetic depth monitor, which is routinely used in clinical practice, will be utilized to record anesthetic depth. The anesthesiologist will be requested to document the drugs used and to maintain general anesthesia, as is normally performed at our hospital, with sevoflurane at a standard dose of 0.8 to 0.9 MAC. Once the surgery is finished and anesthetic emergence begins, the minute the sevoflurane supply is stopped will be recorded. The moment consciousness is recovered, determined by eye opening and response to verbal or tactile stimuli (as is typically done in all general anesthetics), will be recorded.
In detail, a traditional general anesthetic at the Hospital Clínico de la Universidad de Chile consists of:
As this is an observational study, the clinician responsible for the patient will administer the drugs they deem necessary and perform the relevant clinical measures; we will only record these actions.
Statistics A descriptive statistical analysis will be performed for each type of variable, expressing the results as percentages, medians, or means as appropriate. The records from the anesthetic depth monitor will be analyzed using MATLAB to determine the magnitude of the power in the alpha band. The sample size was calculated assuming that the alternative hypothesis (H1) for the linear correlation between alpha power and emergence time is r² = 0.4 ± 0.3, while the null hypothesis (H0) is r² = 0. Considering a statistical power of 90%, an alpha error of 0.05, a two-tailed analysis, and a possible loss of 20% of the data, it was determined that 70 patients are required (calculation performed with G*Power 3.1.9.4). Statistical analyses will be conducted using GraphPad Prism and R.
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70 participants in 1 patient group
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Central trial contact
Antonello Penna, MD, PhD
Data sourced from clinicaltrials.gov
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