Actively Recruiting
Construction and Clinical Validation Study of a Prediction Model for Depression After Ischemic Stroke
Led by Min Su · Updated on 2026-02-05
488
Participants Needed
1
Research Sites
37 weeks
Total Duration
On this page
Sponsors
M
Min Su
Lead Sponsor
C
Chongqing Traditional Chinese Medicine Hospital
Collaborating Sponsor
AI-Summary
What this Trial Is About
Post-stroke depression (PSD) is the most common neuropsychiatric disorder after a stroke, with an incidence rate of 20% to 60%. PSD is not only associated with higher mortality rates, poorer recovery, more obvious cognitive impairments, greater economic burdens, and lower quality of life, but also brings additional medical expenses and care pressure to families. Society also needs to bear higher medical costs. Currently, the early diagnosis of PSD is difficult, which may lead to poor prognosis after stroke. This study aims to utilize machine learning technology to integrate multi-dimensional indicators of patients with ischemic stroke, establish a risk prediction model for PSD, and assist in early, accurate, and individualized assessment of PSD risk in clinical practice.
CONDITIONS
Official Title
Construction and Clinical Validation Study of a Prediction Model for Depression After Ischemic Stroke
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients with acute ischemic stroke
- Admission within 7 days of symptom onset
- The patient and/or the family members sign a written informed consent form
You will not qualify if you...
- Confusion of consciousness, severe cognitive impairment
- History of depression, schizophrenia, bipolar disorder, etc
- Unable to participate in neuropsychological exams due to hearing impairments, lack of coordination, or neurological deficits, including severe aphasia
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
The First Affiliated Hospital of Chongqing Medical University
Chongqing, China
Actively Recruiting
Research Team
Y
Yanping Zhang
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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