AI-supported, integrative prediction of postoperative delirium (CONFUSED study)
- Conditions
- F05.8Other delirium
- Registration Number
- DRKS00033854
- Lead Sponsor
- niversitätsklimikum Knappschftskrankenhaus Bochum
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 300
o Patients undergoing total hip replacement surgery
o other medium to major surgical procedures under general anaesthesia from the Clinics for Surgery, Neurosurgery, Oral and Maxillofacial Surgery
o Written declaration of consent from the patient
o Age < 60 years
o Pre-existing dementia
o Immunosuppression with medication
o Chronic skin diseases
o Rejection by patients
o Previous participation in this study
o Pre-existing addiction or psychosis
o Patients with pacemakers and deep brain stimulation
o Existing anticholinergic medication
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method postoperative delirium<br>Post-operative delirium is diagnosed before the operation (control), on transfer from the recovery room on the first and second post-operative day using the Confusion Assessment Method for intensive care units (CAM-ICU) or CAM outside the intensive care unit using a questionnaire
- Secondary Outcome Measures
Name Time Method AI model for postoperative delirium based on clinical and biological biomarkers