Predicting depression risk after an ischemic stroke
Official title: Construction and Clinical Validation Study of a Prediction Model for Depression After Ischemic Stroke
Run by First Affiliated Hospital of Chongqing Medical University · NCT07294274 · Data updated 2026-11-12
This project will try to use machine learning on clinical and other patient data to predict which people hospitalized with an acute ischemic stroke will develop depression.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 488 (estimated) |
| Sponsor | First Affiliated Hospital of Chongqing Medical University Academic / other |
| Locations | 1 site (Chongqing) |
| Status | Recruiting |
| Started | November 1, 2025 |
| Main results expected | July 20, 2026 |
| Study ends | July 20, 2026 |
| Registry record updated | February 5, 2026 |
| Trial ID | NCT07294274 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults hospitalized with acute ischemic stroke within seven days of symptom onset who can complete neuropsychological testing and provide informed consent.
✕Probably not a fit
Patients with a prior history of major psychiatric illness, severe cognitive impairment, impaired consciousness, or major communication deficits such as severe aphasia may not benefit from or be eligible for the model.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study will collect multidimensional clinical, demographic, and neuropsychological data from patients admitted with acute ischemic stroke and group them by whether they develop post-stroke depression. Researchers will apply machine learning methods to these data to build and clinically validate a risk prediction model for post-stroke depression. The goal is to enable early, individualized risk estimates based on routinely available indicators from patients admitted within seven days of symptom onset. Exclusion criteria include prior major psychiatric disorders, severe cognitive impairment, impaired consciousness, or inability to complete neuropsychological testing.
Why it matters
Potential benefit: If successful, the model could help clinicians identify high-risk patients early so they can provide targeted monitoring, preventive support, or timely treatment to improve recovery and quality of life.
How similar studies have gone: Early machine-learning work predicting post-stroke outcomes has shown promise, but robust, externally validated models specifically for post-stroke depression remain limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * 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. Exclusion Criteria: * Confusion of consciousness,severe cognitive impairment, etc * Individuals with a history of depression, schizophrenia, bipolar disorder, etc; * Individuals unable to participate in neuropsychological examinations due to hearing im pairments, lack of coordination, or neurological deficits, including se vere aphasia.
Where it's running
-
The First Affiliated Hospital of Chongqing Medical University
Chongqing, China Recruiting
Study contacts
- Study coordinator: Yanping Zhang
- Email: zhangyp8415@163.com
- Phone: 86+15223049366
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Hyperbaric oxygen therapy for persistent post-stroke depression
This research will test whether hyperbaric oxygen therapy can reduce depressive symptoms in adults with long-standing post-stroke depression who are already on antidepressants.
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Building physical capacity after chronic stroke
This 12-week modified cardiac rehabilitation program will try to improve physical fitness and mood in people living with chronic stroke, including those with post-stroke depression.
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Effects of natural light on stroke recovery complications
This study tests if using natural light during rehab can help stroke patients feel less depressed and tired as they recover.
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Telephone/video behavioral activation to prevent depression after a first stroke in low-income older adults
This project will test whether coaching-style behavioral activation delivered by trained lay counselors over phone or video can prevent depression in low-income older adults who recently had a first stroke and currently have mild or no depressive symptoms.
-
Zuranolone (allopregnanolone) for post-stroke depression
This trial will test whether a 14-day course of oral zuranolone is safe, well tolerated, and can reduce moderate to severe depression in adults 21–65 who developed depression within a year after a stroke.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.