PRE-DELIRIC Prediction Model Plus SMART Care to Reduce the Incidence of Delirium in ICU Patients
NCT ID: NCT06279390
Last Updated: 2024-02-28
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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COMPLETED
381 participants
OBSERVATIONAL
2023-06-08
2023-10-30
Brief Summary
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To address these issues, the PREdiction of DELIRium (PRE-DELIRIC) model incorporates 10 risk factors and predicts delirium within 24 hours of ICU admission, allowing risk stratification into low to very high risk categories. It recalibrates predictive values with a sensitivity of 91.3% and specificity of 64.4% using a cut-off score of 27%. However, its integration into delirium management is underexplored. Delirium risk stratification supports efficient resource allocation, cost control, workload reduction and ethical care, while promptly identifying high-risk patients.
In this study, Investigators evaluate the integration of the PRE-DELIRIC model into a comprehensive delirium management approach called PRE-DELIRIC-guided SMART/SmART care. SMART care includes improving familiarity, assessing pain and anxiety, reducing equipment discomfort and cognitive stimulation. Patients with PRE-DELIRIC scores \>30% receive SMART care and multidisciplinary involvement, based on the American Delirium Society.
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Detailed Description
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Conditions
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Study Design
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CASE_CONTROL
RETROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
2. Underwent neurosurgical procedures,
3. Discharged from the ICU within 24 hours of admission
4. Transitioned to active life support withdrawal or "comfort care only" within 24 hours of ICU admission
18 Years
99 Years
ALL
No
Sponsors
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National Taiwan University Hospital
OTHER
Responsible Party
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Principal Investigators
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Wei Ling Hsiao, Master
Role: PRINCIPAL_INVESTIGATOR
National Taiwan University Hospital
Man-Ling Wang, Doctor
Role: STUDY_DIRECTOR
National Taiwan University Hospital
Locations
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National Taiwan University Hospital
Taipei, , Taiwan
Countries
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Other Identifiers
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202305126RINC
Identifier Type: -
Identifier Source: org_study_id
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