Delirium
Conditions
Keywords
Delirium, Inattention, Eye-gaze, ICU
Brief summary
In this trial, the investigators seek to demonstrate the feasibility of a system in continuously detecting 'inattention' as a subset of CAM-ICU in a small representative sample of patients in the Intensive Care Unit (ICU) at Chelsea & Westminster NHS Foundation Trust.
Detailed description
Delirium is an acute confusional state that affects many patients admitted to the hospital, especially intensive care. The current diagnosis of delirium is through the use of the Confusional Assessment Method in Intensive Care Unit (CAM-ICU) task based questionnaire. The core prinicipal to CAM-ICU is inattention; this is tested through asking the patient to remember a task and execute it on demand, e.g. squeezing the operator's hand everytime the letter A is said and then spelling CASABLANCA. The aim of this study is to find correlates to inattention. Eye-gaze data is ideally suited for this task as eyes move to pay attention to the environment. A video camera based eye-tracker has been developed that sits at the end of the bed (head-camera) and another behind the patient (scene-camera). The head-camera uses machine learning to measure the gaze of the patient's eyes while the scene-camera finds what the patient is looking at. Simulations are then run from the scene camera and the patient's gaze is then compared to find whether the patient is paying attention to what is simulated. Once per day, a member of the local research team will fill in a non-validated questionnaire based on work by MacMurchy et al. M. MacMurchy, S. Stemler, M. Zander, C. P. Bonafide, Acceptability, Feasibility, and Cost of Using Video to Evaluate Alarm Fatigue, Biomedical Instrumentation & Technology 51 (2017) 25-33.
Interventions
None listed
Sponsors
Westminster Medical School Research Trust
BMA Foundation for Medical Research
Chelsea and Westminster NHS Foundation Trust
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Inclusion criteria
1. Aged \>18 2. Predicted Delirium as defined by the Early PREdiction of DELIRium in ICU patients (E-PREDELIRIC) score ≥ 20% 3. Expected length of stay ≥ 2 days
Exclusion criteria
1. Non-concordant eyes 2. Visual Impairment 3. Dementia 4. Inability for facial recognition and eye tracking to be performed reliably 5. Lack of signed consent form / nominated consultee form 6. In-ability to perform CAM-ICU reliably
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Demonstrate eye gaze correlates with CAM-ICU | 8-12 months | Patient's usual clinical care will not be affected by the assessments performed by this study. In our institution, CAM-ICU is performed at least twice daily and more so if there are changes to mental status. The system will be switched on 5 minutes prior to performing CAM-ICU and will record for a duration of 10 minutes following which, the system will be turned off and the cameras covered. This procedure will occur every time CAM-ICU is performed. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Acceptance of the use of cameras and artificial intelligence on ICU | 8-12 months | Once per day, the research staff will complete an acceptability questionnaire designed to ascertain the acceptability of the use of cameras within this study on day to day activities in ICU.This questionnaire is based on work by MacMurchy et al. * Minimum value is 0, maximum value is 4. * Higher scores indicate that the system affected the nurse's ability to communicate with patients, nurses and doctors and that it affected the nurse's ability to care for them. * A yes answer = 1 point, a No answer = 0 points. Marking will be done per question to gain insights into how the system affected the nurses. |
Countries
United Kingdom
Contacts
Primary ContactResearch Delivery Operations Manager
Backup ContactMarcela Vizcaychipi, MD, PhD
Outcome results
None listed