| Unique ID issued by UMIN | UMIN000059975 |
|---|---|
| Receipt number | R000068600 |
| Scientific Title | Development of a Predictive System for Delirium and Evaluation of Preventive Strategies |
| Date of disclosure of the study information | 2026/04/01 |
| Last modified on | 2025/12/04 16:18:36 |
Developing a System to Predict Delirium Early and Exploring Ways to Prevent It
PREVENT-D Study(Prediction and Prevention of Delirium Study)
Development of a Predictive System for Delirium and Evaluation of Preventive Strategies
PREVENT-D Study(Prediction and Prevention of Delirium Study)
| Japan |
Delirium
| Psychiatry |
Others
YES
Delirium is a common acute brain dysfunction in hospitalized older adults and is frequently observed not only after surgery but also in emergency care settings. Its symptoms include disturbances in consciousness and attention, disorientation, hallucinations, delusions, and agitation, all of which cause significant distress to patients and impose substantial burdens on families and healthcare providers. Moreover, the occurrence of delirium has been associated with prolonged hospitalization, poor clinical outcomes, long-term cognitive decline, and increased mortality, making it an important clinical challenge.
Multiple risk factors have been identified, including advanced age, preexisting dementia, medical comorbidities, and medication history. However, accurately predicting its onset remains difficult, and no established preventive strategies currently exist. Therefore, it is necessary to identify clinical and biological markers that enable reliable prediction and prevention of delirium.
In this study, we will compare hospitalized patients who experienced delirium with those who did not. After the acute symptoms have stabilized, blood samples will be collected, and information regarding educational background, employment status, marital and living status, current medical history, current medications, and past medication use will be obtained. By analyzing these data, we aim to identify biological characteristics and clinical risk factors associated with the development of delirium and to construct a predictive model.
The findings of this study are expected to contribute to building a system for the early identification of high-risk patients and implementing preventive interventions. Ultimately, this may improve patient safety, enable more efficient use of medical resources, and help prevent the progression of cognitive impairment in hospitalized individuals.
Bio-availability
Occurrence of delirium during hospitalization (diagnosed at the time of psychiatric consultation based on DSM-5 criteria).
Timing of Assessment:
During the inpatient period, at the time psychiatric consultation is initiated. Study-related data and samples will be collected after stabilization of delirium symptoms.
Comparison of clinical variables
Age, sex, education, employment, marital/living status, medical history, current illness, medications.
Timing: From admission to discharge.
Inflammatory biomarker measurements
Serum IL-1b, IL-6, IL-18, TNF-a.
Timing: After stabilization of delirium symptoms (research blood draw).
Gene expression and DNA methylation analyses
RNA-Seq and DNA EPIC Array.
Timing: Using PBMC-derived RNA/DNA collected after symptom stabilization.
Functional analyses of iMG cells
Cytokine production, gene expression, morphology.
Timing: After completion of the 14-day differentiation period.
Observational
| 18 | years-old | <= |
| 100 | years-old | >= |
Male and Female
Patients hospitalized at Hyogo Medical University Hospital whose primary admitting department is the Emergency and Critical Care Center, Neurosurgery, or Cardiovascular Surgery.
Patients who are diagnosed with delirium during hospitalization by a psychiatrist, or patients who do not develop delirium during hospitalization.
Adults aged 20 years or older.
Patients with severe dementia, impaired consciousness, or other conditions that prevent adequate understanding of the study, and whose legally authorized representatives are also unable to provide consent.
Patients for whom blood sampling is considered medically difficult or unsafe (e.g., severe anemia, significant bleeding tendency, end-stage renal failure, or high bleeding risk associated with anticoagulant therapy).
Patients with severe physical illness (e.g., terminal malignancy, advanced organ failure) for whom participation in the study is deemed inappropriate.
Pregnant or breastfeeding women.
Patients whom the investigators judge to be unsuitable for participation in this study.
200
| 1st name | Hisato |
| Middle name | |
| Last name | Matsunaga |
Hyogo Medical University
Neuropsychiatry
6638501
1-1, Mukogawa, Nishinomiya, Hyogo
0798-45-6111
hisa1311@hyo-med.ac.jp
| 1st name | Kyosuke |
| Middle name | |
| Last name | Yamanishi |
Hyogo Medical University
Neuropsychiatry
663-8501
1-1, Mukogawa, Nishinomiya, Hyogo
0798-45-6111
k-yama@hyo-med.ac.jp
Hyogo Medical University
Kyosuke Yamanishi
Hyogo Medical University
Self funding
Japan
Hyogo Medical University
1-1, Mukogawa, Nishinomiya, Hyogo
0798-45-6111
rinri@hyo-med.ac.jp
NO
| 2026 | Year | 04 | Month | 01 | Day |
Unpublished
Preinitiation
| 2025 | Year | 12 | Month | 02 | Day |
| 2026 | Year | 01 | Month | 01 | Day |
| 2028 | Year | 03 | Month | 31 | Day |
Currently in the pre-launch stage.
| 2025 | Year | 12 | Month | 04 | Day |
| 2025 | Year | 12 | Month | 04 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000068600