Non-Invasive Eye Tracking for the Diagnosis of Delirium on ICU
NCT ID: NCT04589169
Last Updated: 2020-12-08
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
UNKNOWN
30 participants
OBSERVATIONAL
2020-12-07
2021-10-12
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
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.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Keywords
Explore important study keywords that can help with search, categorization, and topic discovery.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
PROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Positive cohort
Patients who develop delirium
No interventions assigned to this group
Experimental control group
Patients who do not develop delirium
No interventions assigned to this group
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
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
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
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Westminster Medical School Research Trust
UNKNOWN
BMA Foundation for Medical Research
UNKNOWN
Chelsea and Westminster NHS Foundation Trust
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Ahmed Al-Hindawi, BMBS, MRCA
Role: PRINCIPAL_INVESTIGATOR
Chelsea and Westminster NHS Foundation Trust
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Chelsea and Westminster Hospital NHS Foundation Trust
London, , United Kingdom
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
Research Delivery Operations Manager
Role: primary
Marcela Vizcaychipi, MD, PhD
Role: backup
References
Explore related publications, articles, or registry entries linked to this study.
McCusker J, Cole M, Abrahamowicz M, Primeau F, Belzile E. Delirium predicts 12-month mortality. Arch Intern Med. 2002 Feb 25;162(4):457-63. doi: 10.1001/archinte.162.4.457.
Miotto R, Li L, Kidd BA, Dudley JT. Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records. Sci Rep. 2016 May 17;6:26094. doi: 10.1038/srep26094.
M. Sarabia, Y. Demiris, A Humanoid Robot Companion for Wheelchair Users, Social Robotics 8239 (2013) 432-441.
A. P. A. A. P. Association, et al., DSM-IV-TR: Diagnostic and Statistical Manual of Mental Disorders, Wash ington, DC: American psychiatric association (1994) 143-147.
Holt-Lunstad J, Smith TB, Layton JB. Social relationships and mortality risk: a meta-analytic review. PLoS Med. 2010 Jul 27;7(7):e1000316. doi: 10.1371/journal.pmed.1000316.
Palmu R, Suominen K, Vuola J, Isometsa E. Mental disorders among acute burn patients. Burns. 2010 Nov;36(7):1072-9. doi: 10.1016/j.burns.2010.04.004. Epub 2010 May 18.
Lundstrom M, Olofsson B, Stenvall M, Karlsson S, Nyberg L, Englund U, Borssen B, Svensson O, Gustafson Y. Postoperative delirium in old patients with femoral neck fracture: a randomized intervention study. Aging Clin Exp Res. 2007 Jun;19(3):178-86. doi: 10.1007/BF03324687.
Meier-Ruge W, Hunziker O, Iwangoff P. Senile dementia: a threshold phenomenon of normal aging? A contribution to the functional reserve hypothesis of the brain. Ann N Y Acad Sci. 1991;621:104-18. doi: 10.1111/j.1749-6632.1991.tb16973.x.
Meagher DJ. Delirium: optimising management. BMJ. 2001 Jan 20;322(7279):144-9. doi: 10.1136/bmj.322.7279.144. No abstract available.
Lin SM, Liu CY, Wang CH, Lin HC, Huang CD, Huang PY, Fang YF, Shieh MH, Kuo HP. The impact of delirium on the survival of mechanically ventilated patients. Crit Care Med. 2004 Nov;32(11):2254-9. doi: 10.1097/01.ccm.0000145587.16421.bb.
Ouimet S, Kavanagh BP, Gottfried SB, Skrobik Y. Incidence, risk factors and consequences of ICU delirium. Intensive Care Med. 2007 Jan;33(1):66-73. doi: 10.1007/s00134-006-0399-8. Epub 2006 Nov 11.
Pisani MA, Araujo KL, Van Ness PH, Zhang Y, Ely EW, Inouye SK. A research algorithm to improve detection of delirium in the intensive care unit. Crit Care. 2006;10(4):R121. doi: 10.1186/cc5027.
Beedie SA, Benson PJ, St Clair DM. Atypical scanpaths in schizophrenia: evidence of a trait- or state-dependent phenomenon? J Psychiatry Neurosci. 2011 May;36(3):150-64. doi: 10.1503/jpn.090169.
Loughland CM, Williams LM, Gordon E. Schizophrenia and affective disorder show different visual scanning behavior for faces: a trait versus state-based distinction? Biol Psychiatry. 2002 Aug 15;52(4):338-48. doi: 10.1016/s0006-3223(02)01356-2.
Trillenberg P, Lencer R, Heide W. Eye movements and psychiatric disease. Curr Opin Neurol. 2004 Feb;17(1):43-7. doi: 10.1097/00019052-200402000-00008.
Y. Zhang, T. Wilcockson, K. I. Kim, T. Crawford, H. Gellersen, P. Sawyer, Monitoring Dementia with Automatic Eye Movements Analysis, in: I. Czarnowski, A. M. Caballero, R. J. Howlett, L. C. Jain (Eds.), Intelligent Decision Technologies 2016, volume 57, Springer International Publishing, Cham, 2016, pp. 299-309.
Exton C, Leonard M. Eye tracking technology: a fresh approach in delirium assessment? Int Rev Psychiatry. 2009 Feb;21(1):8-14. doi: 10.1080/09540260802675106.
Lancaster GA, Dodd S, Williamson PR. Design and analysis of pilot studies: recommendations for good practice. J Eval Clin Pract. 2004 May;10(2):307-12. doi: 10.1111/j..2002.384.doc.x.
Wassenaar A, van den Boogaard M, van Achterberg T, Slooter AJ, Kuiper MA, Hoogendoorn ME, Simons KS, Maseda E, Pinto N, Jones C, Luetz A, Schandl A, Verbrugghe W, Aitken LM, van Haren FM, Donders AR, Schoonhoven L, Pickkers P. Multinational development and validation of an early prediction model for delirium in ICU patients. Intensive Care Med. 2015 Jun;41(6):1048-56. doi: 10.1007/s00134-015-3777-2. Epub 2015 Apr 18.
MacMurchy M, Stemler S, Zander M, Bonafide CP. Research: Acceptability, Feasibility, and Cost of Using Video to Evaluate Alarm Fatigue. Biomed Instrum Technol. 2017 Jan-Feb;51(1):25-33. doi: 10.2345/0899-8205-51.1.25. No abstract available.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
IRAS number 264759
Identifier Type: OTHER
Identifier Source: secondary_id
C&W19/064
Identifier Type: -
Identifier Source: org_study_id