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| Name | Class |
|---|---|
| Beijing Municipal Health Bureau | OTHER |
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Studies have shown that prolonged deep sedation is associated with adverse clinical outcomes in adult intensive care unit (ICU) patients. The revised guidelines for management of pain, agitation and delirium by the Society of Critical Care Medicine in 2013 also recommended that adult ICU patients should be maintained at a light level of sedation. The key point in light sedation strategy is the assessment of depth of sedation. At present, sedation is monitored mainly by the subjective clinical score systems, such as the Ramsay Scale, the Riker's Sedation-Agitation Scale (SAS) and the Richmond Agitation-Sedation Scale (RASS). However, the subjective and intermittent nature of these scales instruments has limited their application in light sedation algorithm. Consequently, objective and continuous measurement of the level of sedation would be more desirable in clinical practice. In recent years, objective measures of brain function have been of great interests in the evaluation of sedation level, and bispectral index (BIS) has been the most investigated instrument.
Several studies compared BIS with subjective sedation scales in adult ICU patients, and yielded conflicting results. The different approaches to select BIS value may be the most important reason for these inconsistent agreements between BIS and subjective sedation scales. A formal scheme of subjective assessment of the depth of sedation and level of consciousness should incorporate exerting verbal and physical stimuli and observation of the patient's subsequent responses. Our primary aim is to clarify the diagnostic accuracy of BIS in detecting early deep sedation against the reference standard of subjective scale instrument. We hypothesize that BIS monitoring will provide accurate, subjective and continuous evaluation of deepen sedation.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Light sedation | Light sedation is defined as RASS of +1 to -2. | ||
| Deep sedation | Deep sedation is defined as RASS of -3 to -5 |
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| Measure | Description | Time Frame |
|---|---|---|
| The primary aim of present study is to determine the diagnostic accuracy of BIS monitoring for detecting deep sedation against the reference standard of RASS. | According to RASS evaluation, observations in each time point will be stratified into 2 situations: light sedation (RASS= 0 to -2) and deep sedation (RASS= -3 to -5). Receiver operator characteristic (ROC) curve analysis will be applied to determine the probability of BIS values in predicting deep sedation. | 15 minutes before and after RASS evaluation |
| Measure | Description | Time Frame |
|---|---|---|
| Incidence of deep sedation | 24 hours after establishing of BIS monitoring | |
| Occurrence of deep sedation during day- and night-time | Day-time is defined as 8AM to 8PM, and night-time as 8PM to 8AM. |
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Inclusion Criteria:
Exclusion Criteria:
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Adult patients admitted to a 22-bed general ICU in a University Affiliated Hospital will be screened daily and enrolled consecutively.
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| Name | Affiliation | Role |
|---|---|---|
| Jian-Xin Zhou, MD | Capital Medical University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Critical Care Medicine, Daxing Teaching Hospital, Capital Medical University | Beijing | Beijing Municipality | 102600 | China |
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| ID | Term |
|---|---|
| D003244 | Consciousness Disorders |
| ID | Term |
|---|---|
| D019954 | Neurobehavioral Manifestations |
| D009461 | Neurologic Manifestations |
| D009422 | Nervous System Diseases |
| D012816 | Signs and Symptoms |
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| 24 hours after establishing of BIS monitoring |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |