Development of prediction and prevention for delirium using machine learning in advanced cancer patients

Not Applicable

Recruiting

• Conditions: Not Applicable

• Registration Number: KCT0008132
• Lead Sponsor: ational Evidence-based Healthcare Callaborating Agency

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Results First Posted: 1900-01-01
• Last Update Posted: 8 February 2023

Recruitment & Eligibility

• Status: Recruiting
• Sex: All
• Target Recruitment: 200

Inclusion Criteria

1) Adult advanced cancer patients aged 20 years or older (metastatic or recurrent patients)
2) Cancer patients admitted to the oncology ward or palliative care unit within the relevant research institution
3) Patients who can agree to the informed consent to participate in the study

Exclusion Criteria

1) Patients unable to participate in the study due to brain metastasis, meningeal metastasis, cerebral infarction, etc.
2) Patients who have previously been diagnosed with mental illness other than delirium (dementia, etc.)
3) Excluding terminal cancer delirium: death within 15 ± 5 days after the onset of delirium, terminal care status (a condition in which medications and tests for correcting the cause and controlling symptoms are no longer performed; those with cognitive problems or psychiatric problems that make it difficult to participate in the study)

Study & Design

• Study Type: Observational Study
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
incidence of delirium

Secondary Outcome Measures

Name	Time	Method
outcome of delirium