Delirium Identification in Older Patients With Alzheimer's and Other Related Dementias In the Emergency Department
NCT ID: NCT06326424
Last Updated: 2025-04-03
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
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RECRUITING
60 participants
OBSERVATIONAL
2024-04-10
2026-03-01
Brief Summary
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Clinicians are bad at recognizing delirium. A recent systematic review led by the Geriatric Emergency Care Applied Research network (NIH funded) found that current delirium screening tools are at most 64% sensitive, meaning that physicians can identify some phenotypes of delirium well, but cannot easily rule out delirium in acutely ill older patients.
The investigators propose integrating wrist biosensors into the emergency management of older adults with dementia. The investigators will monitor heart rate variability, movement, and electrodermal activity (electrical activity of at the level of the skin) to determine if an array of biosensors more sensitive to delirium than current verbal screening tools.
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Detailed Description
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Study end data will be collected in person prior to discharge, but if unable to be completed before discharge from the hospital, the investigators will call them back at home to complete the final survey about acceptability.
Aim 2: Correlation of biosensor data with delirium phenotype. RA will perform a CAM ICU 7 upon enrollment, and at 24 and 48 hours (or upon discharge, whichever comes first). The investigators will also collect nurse scores for RASS (agitation scores documented as part of usual clinical care), times of scoring and any other delirium or cognitive assessments done as part of usual care (e.g., CAM -ICU, delirium triage screen, mini-cog).
Biosensor data will be coordinated with RASS and presence of delirium using machine learning analysis.
Other data for covariates: medication history/medication administration records, age, gender, length of stay in the ED and in the hospital if applicable. Stage of dementia or most recent cognitive assessment. Baseline skin tone using the expanded Fitzpatrick scale (skin tone scale).
Participant exclusion criteria: patients who are intubated, getting electrical cardioversion or sedation in the ED. Patients who cannot consent due to cognitive impairment and do not have a LAR or caregiver available will also be excluded.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Observational DELIRIUM cohort
We will follow up to 60 adults 65+ years old with dementia or suspected dementia who are likely to be in the emergency department, observation unit, or hospital for 48 hours. We will follow them for up to 48 hours while they wear an FDA approved biosensor watch and perform delirium checks.
Empatica EmbracePlus
wear a biosensor watch to passively collect biosensor data over 48 hours. The EmbracePlus will collect heart rate variability, accelerometry, and electrodermal activity.
Interventions
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Empatica EmbracePlus
wear a biosensor watch to passively collect biosensor data over 48 hours. The EmbracePlus will collect heart rate variability, accelerometry, and electrodermal activity.
Eligibility Criteria
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Inclusion Criteria
* Emergency Department visit and/or hospitalization anticipated to last \>4 more hours from the time of enrollment.
Exclusion Criteria
* Patients undergoing a procedure requiring sedation
* Patients who cannot consent due to cognitive impairment and do not have a legally authorized representative or caregiver present.
65 Years
ALL
No
Sponsors
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Ohio State University
OTHER
Responsible Party
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Lauren Southerland
Associate Professor
Principal Investigators
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Edward Boyer, MD
Role: STUDY_DIRECTOR
Ohio State University
Locations
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The Ohio State University Wexner Medical Center
Columbus, Ohio, United States
Countries
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Central Contacts
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Other Identifiers
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2023H0085
Identifier Type: -
Identifier Source: org_study_id
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