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Development of model for prediction of delirium

Development of model for prediction and prevention of delirium in critically-ill patients using machine learning

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0008011
Enrollment
500
Registered
2022-12-16
Start date
2021-06-29
Completion date
Unknown
Last updated
2023-01-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Koera University Guro Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: - Patients without exclusion criteria among adult (20 years old or older) patients admitted to intensive care units of four university hospitals during the study period. -Patients who have given written informed consent.

Exclusion criteria

Exclusion criteria: - Patients with psychological diseases - Delirium patients within 24 hours after admission to the intensive care unit - Patients with RASS -4 or -5 during ICU stay - Patients transferred to general wards within 24 hours of admission to the intensive care unit - Comatose patients due to cerebral infarction or cerebral hemorrhage - Patients unable to communicate due to vision or hearing loss

Design outcomes

Primary

MeasureTime frame
To develop and validate the predictive model for ICU delirium—

Secondary

MeasureTime frame
Comparison of CAM-ICU and 4 AT as a screening tool for ICU delirium—

Countries

Korea, Republic of

Contacts

Public ContactYujin Hwang

Koera University Guro Hospital

yujin.biz119@gmail.com+82-2-2626-1064

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026