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The Bispectral Index (BIS) is a monitor that converts brain electrical activity from EEG into a simple number from 0 to 100. A higher number means the patient is more awake, while a lower number means deeper sedation or reduced brain activity.
In general, 100 means fully awake, 80 suggests light to moderate sedation, 60 is commonly used as a target for general anesthesia with a low chance of awareness, 40 indicates deep anesthesia, 20 suggests marked brain suppression with burst suppression on EEG, and 0 indicates no detectable cortical electrical activity.
Although BIS was originally developed for use in the operating room, it has also been applied in the ICU to help guide sedation, avoid over- or under-sedation, and assess consciousness in patients who cannot be evaluated reliably using standard clinical scores. BIS has also been studied as a possible tool for predicting outcomes in comatose ICU patients, such as those after cardiac arrest, stroke, encephalitis, or traumatic brain injury. However, evidence is still limited for its use in predicting outcomes among ICU patients with any form of decreased consciousness. Therefore, this study was conducted to explore that role.
Full description
The Bispectral Index is the output of a multi-stage process that transforms the brain's electrical activity into a simplified metric. This process begins with non-invasive data acquisition and proceeds through advanced computational analysis to derive the final index.
The BIS monitor translates the EEG data into a number on a scale from 0 to 100. This index is designed to provide a direct measure of a patient's level of consciousness and response to sedation, with specific numeric ranges corresponding to general clinical states.
The generally accepted clinical correlations for the BIS scale are as follows:
BIS monitoring was adapted from the operating room to the ICU to help manage the difficult task of sedating critically ill patients.
Its main goals in the ICU are to:
The Bispectral Index (BIS) has been used to predict clinical outcomes in ICU patients with coma from various causes, including post-cardiac arrest, cerebrovascular disease, viral encephalitis, and traumatic brain injury. However, there is limited research on using BIS to predict outcomes for patients with any decreased level of consciousness in the ICU. Therefore, this study was initiated.
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40 participants in 2 patient groups, including a placebo group
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Annop Piriyapatsom, M.D.
Data sourced from clinicaltrials.gov
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