Quantitative electroencephalogram (qEEG) monitors are often used to estimate depth of anesthesia and intraoperative recall during general anesthesia. As with any monitor, the processed numerical output is often misleading and has to be interpreted within a clinical context. For the safe clinical use of these monitors, a clear mental picture of the expected raw electroencephalogram (EEG) patterns, as well as a knowledge of the common EEG artifacts, is absolutely necessary. This has provided the motivation to write this tutorial. We describe, and give examples of, the typical EEG features of adequate general anesthesia, effects of noxious stimulation, and adjunctive drugs. Artifacts are commonly encountered and may be classified as arising from outside the head, from the head but outside the brain (commonly frontal electromyogram), or from within the brain (atypical or pathologic). We include real examples of clinical problem-solving processes. In particular, it is important to realize that an artifactually high qEEG index is relatively common and may result in dangerous anesthetic drug overdose. The anesthesiologist must be certain that the qEEG number is consistent with the apparent state of the patient, the doses of various anesthetic drugs, and the degree of surgical stimulation, and that the qEEG number is consistent with the appearance of the raw EEG signal. Any discrepancy must be a stimulus for the immediate critical examination of the patient's state using all the available information rather than reactive therapy to "treat" a number.

Download full-text PDF

Source
http://dx.doi.org/10.1213/ane.0b013e3181a9fc38DOI Listing

Publication Analysis

Top Keywords

general anesthesia
12
raw electroencephalogram
8
qeeg number
8
number consistent
8
practical raw
4
electroencephalogram waveform
4
waveform general
4
anesthesia
4
anesthesia art
4
art science
4

Similar Publications

Objective: The agitation that can occur in patients undergoing vitreoretinal surgery on awakening from general anesthesia is a serious post-operative problem. In our study, we aimed to compare the effects of different anesthesia methods on emergence agitation in patients undergoing vitreoretinal surgery.

Method: Patients undergoing vitreoretinal surgery were divided into two groups: Total intravenous anesthesia (Group T) and inhalation anesthesia (Group D) according to the maintenance of anesthesia applied by consulting the records.

View Article and Find Full Text PDF

Rationale: Early detection, standardized therapy, adequate infrastructure and strategies for quality improvement should constitute essential components of every hospital's sepsis plan.

Objectives: To investigate the extent to which recommendations from the sepsis guidelines are implemented and the availability of infrastructure for the care of patients with sepsis in acute hospitals.

Methods: A multidisciplinary cross-sectional questionnaire was used to investigate sepsis care in hospitals.

View Article and Find Full Text PDF

Purpose Of Review: The human circadian system regulates several physiological processes, including metabolism, which becomes significantly disrupted during critical illness. The common use of 24-h continuous nutrition support feeding in the intensive care unit (ICU) may further exacerbate these disruptions; this review evaluates recent evidence comparing continuous and intermittent feeding schedules in critically ill adults.

Recent Findings: Research comparing different feeding schedules in critically ill adults remains limited.

View Article and Find Full Text PDF

Introduction: Accurate prognostication in comatose survivors of cardiac arrest is a challenging and high-stakes endeavor. We sought to determine whether internal EEG subparameters extracted by the Bispectral Index (BIS) monitor, a device commonly used to estimate depth-of-anesthesia intraoperatively, could be repurposed to predict recovery of consciousness after cardiac arrest.

Methods: In this retrospective cohort study, we trained a 3-layer neural network to predict recovery of consciousness to the point of command following versus not based on 48 hours of continuous EEG recordings in 315 comatose patients admitted to a single US academic medical center after cardiac arrest (Derivation cohort: N=181; Validation cohort: N=134).

View Article and Find Full Text PDF

Background: Postoperative delirium (POD) is a common complication after major surgery and is associated with poor outcomes in older adults. Early identification of patients at high risk of POD can enable targeted prevention efforts. However, existing POD prediction models require inpatient data collected during the hospital stay, which delays predictions and limits scalability.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!