| Unique ID issued by UMIN | UMIN000061931 |
|---|---|
| Receipt number | R000070867 |
| Scientific Title | Development of a Novel Delirium Prediction Algorithm and Preventive Intervention Using Multimodal AI Monitors, Simplified EEG, and Actigraphy |
| Date of disclosure of the study information | 2026/06/16 |
| Last modified on | 2026/06/16 20:15:38 |
Development of an Innovative Delirium Prediction and Prevention Approach Utilizing AI Monitors, Simplified EEG, and Actigraphy
AIDE-P
Development of a Novel Delirium Prediction Algorithm and Preventive Intervention Using Multimodal AI Monitors, Simplified EEG, and Actigraphy
AIDE-P Project
| Japan |
delirium
| Psychiatry |
Others
NO
Although delirium is a critical condition leading to poor prognosis and significant healthcare costs, its underlying pathophysiology remains poorly understood. This study focuses on neuroinflammation, specifically the involvement of microglia in delirium.
Using blood samples from patients admitted to the Emergency Care Unit (ECU) or orthopedic ward, we will generate induced microglia-like (iMG) cells. We aim to statistically investigate the role of microglia in delirium by comparing iMG cells between patients who develop delirium and those who do not, focusing on phagocytic activity, Ca2+ dynamics, production of inflammation-related substances, and responsiveness to brain-derived neurotrophic factor (BDNF).
The ultimate objective of this study is to establish a foundation for developing novel strategies for the prediction, prevention, and treatment of delirium targeting microglia.
(Note: Any secondary use of the data obtained in this study will be conducted only after obtaining separate approval from the Institutional Review Board.)
Others
This is an interventional study involving procedures beyond routine clinical care (application of a simplified EEG, additional blood sampling for research purposes, and video recording). Rather than a clinical trial for the regulatory approval of a new drug or medical device, the objective regarding safety and efficacy is to exploratorily evaluate the "utility for delirium prediction (efficacy)" and the "feasibility and patient burden of these measurement devices (safety)."
Exploratory
Others
Not applicable
Inocum / Metric:
Incidence of delirium during hospitalization
Functional metrics of induced microglia-like (iMG) cells generated from blood samples (phagocytic activity, Ca2+ dynamics, production of inflammation-related substances, and responsiveness to BDNF)
Comprehensive RNA expression levels in iMG cells
Timepoint:
From admission to discharge (or at the onset and resolution of delirium)
Inocum / Metric:
Objective measurement scores extracted using AI from non-invasive devices (AI video monitors, simplified EEG, and wrist-worn activity trackers)
Clinical factors (predisposing, precipitating, and contributing factors evaluated at admission and at the onset of delirium)
Sequential changes in iMG cell RNA expression at multiple timepoints (at admission, delirium onset, and delirium resolution)
Timepoint:
At admission, at the onset of delirium, and upon resolution of delirium
Interventional
Single arm
Non-randomized
Open -no one is blinded
Self control
1
Prevention
| Other |
For patients scheduled for major cardiovascular surgery and ICU admission who provided informed consent, the following sequential interventions and evaluations will be performed:
1. [Screening] Preoperative cognitive function will be assessed using the MMSE; patients scoring 24 or higher will be enrolled.
2. [Preoperative Evaluation] On the morning after admission, a research-specific blood sample (approx. 70 mL) will be collected, and DRS-R98 and MMSE assessments will be performed. That night, a simplified EEG and a wrist-worn activity tracker will be applied.
3. [During ICU Stay] Continuous monitoring via ICU video recording, simplified EEG, and activity tracker will be conducted from ICU admission to discharge (daytime music therapy will be applied upon request). Delirium will be assessed every 8 hours using the CAM-ICU. At the time of suspected delirium onset, or at 48 hours post-awakening without delirium, DRS-R98/MMSE assessments and research-specific blood sampling (approx. 70 mL) will be performed.
4. [Pre-discharge Evaluation] On the day before discharge, DRS-R98/MMSE assessments and blood sampling (approx. 70 mL) will be conducted, followed by overnight simplified EEG and activity tracking.
[Analysis Items]
Monocytes isolated from blood samples will be cultured to generate induced microglia-like (iMG) cells for RNA expression analysis. Inflammatory markers (high-sensitivity CRP, IL-1beta, TNF-alpha) will be measured from the remaining serum. EEG, actigraphy, and video recording (motion analysis) data will be utilized for AI-based multi-omics analysis and integrated with clinical data (demographics, medical history, routine laboratory data, and DRS-R98 scores) to develop a delirium prediction model.
| 70 | years-old | <= |
| 80 | years-old | > |
Male and Female
Patients scheduled to undergo elective cardiovascular surgery at our hospital with confirmed subsequent admission to the Intensive Care Unit (ICU).
Patients aged 70 years or older and under 80 years at the time of obtaining informed consent.
Patients (or their legally authorized representatives) who provided written informed consent to participate in this study.
Patients aged under 70 years or 80 years and older.
Patients with cognitive decline, including dementia, defined as a Mini-Mental State Examination (MMSE) score of less than 24 at screening.
Patients with a history of or current alcohol dependence.
Patients with a history or complication of brain disorders, including encephalitis, encephalopathy, traumatic brain injury, or cerebral infarction.
Other patients judged by their primary physician to be inappropriate for participation in this study.
36
| 1st name | Toru |
| Middle name | |
| Last name | Murakawa-Hirachi |
Saga University, Faculty of Medicine
Department of Psychiatry
849-8501
Saga Prefecture, Saga City, Nabeshima 5-1-1
+81-952-34-2304
si5059@cc.saga-u.ac.jp
| 1st name | Takumi |
| Middle name | |
| Last name | Shiraishi |
Saga University, Faculty of Medicine
Department of Psychiatry
849-8501
Saga Prefecture, Saga City, Nabeshima 5-1-1
+81-952-34-2304
su1891@cc.saga-u.ac.jp
Saga University
Toru Murakawa-Hirachi
Ministry of Education, Culture, Sports, Science and Technology
Japanese Governmental office
JAPAN
Clinical Research Center, Saga University Hospital
Saga Prefecture, Saga City, Nabeshima 5-1-1
+81-952-34-2304
medsosou@mail.admin.saga-u.ac.jp
NO
| 2026 | Year | 06 | Month | 16 | Day |
Unpublished
Enrolling by invitation
| 2025 | Year | 10 | Month | 01 | Day |
| 2025 | Year | 10 | Month | 01 | Day |
| 2026 | Year | 06 | Month | 16 | Day |
| 2029 | Year | 03 | Month | 31 | Day |
| 2026 | Year | 06 | Month | 16 | Day |
| 2026 | Year | 06 | Month | 16 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000070867