Abstract

BackgroundIntraoperative brain function monitoring with processed electroencephalogram (EEG) indices, such as the bispectral index (BIS) and patient state index (PSI), may improve characterization of the depth of sedation or anesthesia when compared to conventional physiologic monitors, such as heart rate and blood pressure. However, the clinical assessment of anesthetic depth may not always agree with available processed EEG indices. To concurrently compare the performance of BIS and SedLine monitors, we present a data collection system using shared individual generic sensors connected to a custom-built passive interface box.MethodsThis prospective, non-blinded, non-randomized study will enroll 100 adult American Society of Anesthesiologists (ASA) class I-III patients presenting for elective procedures requiring general anesthesia. BIS and SedLine electrodes will be placed preoperatively according to manufacturer recommendations and their respective indices tracked throughout anesthesia induction, maintenance and emergence. The concordance between processed EEG indices and clinical assessments of anesthesia depth will be analyzed with chi-square and kappa statistic.DiscussionPrior studies comparing brain function monitoring devices have applied both sensors on the forehead of study subjects simultaneously. With limited space and common sensor locations between devices, it is not possible to place both commercial sensor arrays according to the manufacturer’s recommendations, thus compromising the validity of these comparisons. This trial utilizes a custom interface allowing signals from sensors to be shared between BIS and SedLine monitors to provide an accurate comparison. Our results will also characterize the degree of agreement between processed EEG indices and clinical assessments of anesthetic depth as determined by the anesthesiologists’ interpretations of acute changes in blood pressure and heart rate as well as the administration, or change to the continuous delivery, of medications at these timepoints. Patient factors (such as burst suppression state or low power EEG conditions from aging brain), surgical conditions (such as use of electrocautery), artifacts (such as electromyography), and anesthesia medications and doses (such as end-tidal concentration of volatile anesthetic or hypnotic infusion dose) that lead to lack of agreement will be explored as well.Trial registrationClinical Trials (ClinicalTrials.gov), NCT03865316. Registered on 4 February 2019 – retrospectively registered. Sponsor: Masimo Corporation.

Highlights

  • Intraoperative brain function monitoring with processed electroencephalogram (EEG) indices, such as the bispectral index (BIS) and patient state index (PSI), may improve characterization of the depth of sedation or anesthesia when compared to conventional physiologic monitors, such as heart rate and blood pressure

  • Our results will characterize the degree of agreement between processed EEG indices and clinical assessments of anesthetic depth as determined by the anesthesiologists’ interpretations of acute changes in blood pressure and heart rate as well as the administration, or change to the continuous delivery, of medications at these timepoints

  • Patient factors, surgical conditions, artifacts, and anesthesia medications and doses that lead to lack of agreement will be explored as well

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Summary

Methods

Study design and setting This data collection system will be used in a prospective, non-randomized, non-blinded trial approved by the Institutional Review Board (IRB) at the University of California, Davis. Trial conduct will be regularly audited by the sponsor, and amendments will be communicated with the IRB Primary outcomes This protocol’s primary endpoint is to establish the concordance, or extent of agreement, between the processed EEG indices from BIS and SedLine monitors and the real-time clinical assessments of anesthetic depth by clinicians during “Deep Anesthesia Events” and “Arousal Events.”. Investigators will retrospectively review the EMR to identify interventions made by the anesthesia providers during 10 min surrounding (5 min before and after) periods of burst suppression noted on raw EEG or acute changes in blood pressure or heart rate ± 20% from baseline values. Identified possible “Deep Anesthesia Events” are defined as acute decreases in blood pressure or heart rate greater than or equal to 20% from the patient’s preoperative baseline values. All statistical comparisons will be performed using GraphPad Prism version 8.4.3 for Windows, GraphPad Software, San Diego, California USA, (www.graphpad. com)

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