BIS Monitoring to Detect Deep Sedation

NCT ID: NCT02203344

Last Updated: 2014-12-30

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

45 participants

Study Classification

OBSERVATIONAL

Study Start Date

2014-08-31

Study Completion Date

2014-12-31

Brief Summary

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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.

Detailed Description

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Conditions

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Disorder; Mental, Sedative Depressed Level of Consciousness Mechanical Ventilation Complication Psychosis Associated With Intensive Care

Study Design

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Study Time Perspective

PROSPECTIVE

Study Groups

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Light sedation

Light sedation is defined as RASS of +1 to -2.

No interventions assigned to this group

Deep sedation

Deep sedation is defined as RASS of -3 to -5

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Adult patients are intubated and ventilated within the previous 24 hours, are administered with continuous or intermittent intravenous sedatives and/or analgesics, and are expected to receive mechanical ventilation and sedation for longer than 24 hours

Exclusion Criteria

* Age under 18 or over 65 years;
* Continuously infusion of muscle relaxants;
* Diagnosed or suspected brain diseases, which including brain trauma, intracranial hemorrhage, stroke, brain tumors, hypoxic-ischemic encephalopathy, epilepsy and meningitis;
* Diagnosed conditions that resulted in a decrease level of consciousness, which including hypoxemia with partial pressure of oxygen in arterial blood less than 60 mmHg, hypotension with systolic blood pressure less than 90 mmHg, hypoglycemia with blood glucose concentration less than 4.1 mmol/L, anemia with hemoglobin concentration less than 70 g/L, and body temperature below 36 °C.
Minimum Eligible Age

18 Years

Maximum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Beijing Municipal Health Bureau

OTHER

Sponsor Role collaborator

Capital Medical University

OTHER

Sponsor Role lead

Responsible Party

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Jian-Xin Zhou

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Jian-Xin Zhou, MD

Role: PRINCIPAL_INVESTIGATOR

Capital Medical University

Locations

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Department of Critical Care Medicine, Daxing Teaching Hospital, Capital Medical University

Beijing, Beijing Municipality, China

Site Status

Countries

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China

Other Identifiers

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KY2014-05--013

Identifier Type: -

Identifier Source: org_study_id