Intelligent Intensive Care Unit
- Conditions
- DeliriumConfusion
- Interventions
- Behavioral: Confusion Assessment MethodDevice: AccelerometerDiagnostic Test: Cortisol SwabDevice: Commercially available cameraDevice: Internet Pod (iPod)
- Registration Number
- NCT02465307
- Lead Sponsor
- University of Florida
- Brief Summary
Delirium, as a common complication of hospitalization, poses significant health problems in hospitalized patients. Though about a third of delirium cases can benefit from intervention, detecting and predicting delirium is still very limited in practice. A common characterization of delirium is change in activity level, causing patients to become hyperactive or hypoactive which is manifested in facial expressions and total body movements. This pilot study is designed to test the feasibility of a delirium detection system using movement data obtained from 3-axis wearable accelerometers and commercially available camera with facial recognition video system in conjunction with electronics medical record (EMR) data to analyze the relation of whole-body movement and facial expressions with delirium.
- Detailed Description
The aim of the study is to assess the potential of using motion and facial expression data to detect delirium in ICU patients by comparing motion and facial expression patterns in delirium and control groups. In this study, the investigators will use ActiGraph accelerometers to record each subject's movement patterns. Also, a processed video using a commercially available camera interfaces with a specialized program to identify patient facial expressions and movement patterns. A total of 60 participants will be enrolled with delirium, and 30 patients without delirium will be used as control group. Motion profiles will be compared in the motorically defined subgroups (hyperactive, hypoactive, normal) based on accelerometer and facial recognition data. Then, differences in facial expression, number of changes in postures, and percentage of time spent moving will be compared between motorically defined subgroups and in delirium and control groups. EMR data will also be used to assess the feasibility of detecting delirium by including additional information on related risk factors.
Recruitment & Eligibility
- Status
- ACTIVE_NOT_RECRUITING
- Sex
- All
- Target Recruitment
- 130
Not provided
Not provided
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Delirium group Internet Pod (iPod) ICU patients with a positive Confusion Assessment Method (CAM) score; observational using accelerometers, commercially available camera, and Internet Pod (iPod). Healthy control group Cortisol Swab Healthy subjects that sleep in their home environment; observational using accelerometers, cortisol swabs, and Internet Pod (iPod) Delirium group Commercially available camera ICU patients with a positive Confusion Assessment Method (CAM) score; observational using accelerometers, commercially available camera, and Internet Pod (iPod). Control group Internet Pod (iPod) ICU patients with a negative Confusion Assessment Method (CAM) score; observational using accelerometers, commercially available camera, and Internet Pod (iPod). Delirium group Confusion Assessment Method ICU patients with a positive Confusion Assessment Method (CAM) score; observational using accelerometers, commercially available camera, and Internet Pod (iPod). Control group Accelerometer ICU patients with a negative Confusion Assessment Method (CAM) score; observational using accelerometers, commercially available camera, and Internet Pod (iPod). Delirium group Accelerometer ICU patients with a positive Confusion Assessment Method (CAM) score; observational using accelerometers, commercially available camera, and Internet Pod (iPod). Control group Confusion Assessment Method ICU patients with a negative Confusion Assessment Method (CAM) score; observational using accelerometers, commercially available camera, and Internet Pod (iPod). Control group Commercially available camera ICU patients with a negative Confusion Assessment Method (CAM) score; observational using accelerometers, commercially available camera, and Internet Pod (iPod). Healthy control group Accelerometer Healthy subjects that sleep in their home environment; observational using accelerometers, cortisol swabs, and Internet Pod (iPod) Healthy control group Internet Pod (iPod) Healthy subjects that sleep in their home environment; observational using accelerometers, cortisol swabs, and Internet Pod (iPod)
- Primary Outcome Measures
Name Time Method Memorial Delirium Assessment Scale (MDAS) will be used for changes from baseline up to 7 days between the groups. Changes from Baseline up to 7 Days MDAS denotes motor profile and defines motor subtyping. It has 10 items which assesses several areas of cognitive functioning (memory, attention, orientation and disturbances in thinking) and psychomotor activity. The items are rated on a four point scale (0-3) based on the current interaction with the patient or by assessment of behavior. A score of 13 shows the diagnosis of delirium.
CAM/CAM-ICU Changes from Baseline up to 7 Days Confusion Assessment Method for detection of delirium
Delirium Motor Subtyping Scale (DMSS-4) will be used for changes from baseline up to 7 days between the groups. Changes from Baseline up to 7 Days Scoring from DMSS-4 which has 5 hyperactive and 8 hypoactive symptoms requires at least two symptoms to be present from either the hyperactive or hypoactive list to meet subtype criteria. The higher the score the higher the delirium.
Freedman Sleep Scale Changes from Baseline up to 7 Days To determine sleep quality of patient for given day.
- Secondary Outcome Measures
Name Time Method Number of subjects on mechanical ventilation greater than 48 hours Number of subjects requiring mechanical ventilation greater than 48 hours.
Number of subjects who died Baseline up to 7 Days Death at any time during admission
Trial Locations
- Locations (1)
UF Health
🇺🇸Gainesville, Florida, United States