Constructing a Model of Pupillary Parameters in Predicting Delirium Among Critically Ill Patients in the Intensive Unit
1 other identifier
observational
200
1 country
1
Brief Summary
Delirium is commonly observed in critically ill patients in intensive care units (ICUs), imposing significant burdens on both patients and the healthcare system. Existing assessment tools have certain limitations. Studies have indicated a correlation between pupil parameters and neurological disorders including delirium. Automated Infrared Pupillometry, widely used in neurological disorders, is employed in this study to assess its accuracy and predictive power in evaluating delirium among critically ill patients. The aim is to investigate the accuracy and predictive capability of these parameters in assessing delirium, while identifying the optimal cut-off points. The research findings will contribute to enhancing early detection and prevention of delirium in ICU settings.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2023
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 4, 2023
CompletedFirst Submitted
Initial submission to the registry
December 17, 2023
CompletedFirst Posted
Study publicly available on registry
January 3, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
September 1, 2025
CompletedJanuary 3, 2024
October 1, 2023
1.9 years
December 17, 2023
December 17, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Constructing a model based on pupillary parameters and delirium:
By analyzing the relationship between pupillary parameters and delirium, identifying the optimal cut-off point, and constructing a formula.
2023/09/1-2025/08/30
Eligibility Criteria
Patients admitted to the intensive care unit from internal and surgical departments.
You may qualify if:
- Patients admitted to the intensive care unit from internal and surgical departments.
- Ages 18 and above.
You may not qualify if:
- Acute brain injury (hemorrhagic, ischemic stroke).
- Other brain-related diseases (brain tumor, brain infection, oculomotor nerve paralysis, etc.).
- Ophthalmic diseases that prevent monitoring of pupil measurements.
- Patients with pre-hospital cardiac arrest or in-hospital cardiac arrest.
- Estimated stay in the intensive care unit not exceeding 72 hours.
- Refusal to participate in this study.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Ming-Chen Chiang
Taipei, 220, Taiwan
Related Publications (41)
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MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
December 17, 2023
First Posted
January 3, 2024
Study Start
October 4, 2023
Primary Completion
September 1, 2025
Study Completion
September 1, 2025
Last Updated
January 3, 2024
Record last verified: 2023-10
Data Sharing
- IPD Sharing
- Will not share