Predicting depression risk after an ischemic stroke

Construction and Clinical Validation Study of a Prediction Model for Depression After Ischemic Stroke

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
• Enrollment: 488 (estimated)
• Sex: All
• Sponsor: First Affiliated Hospital of Chongqing Medical University (other)
• Locations: 1 site (Chongqing)
• Trial ID: NCT07294274 on ClinicalTrials.gov

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.

Who should consider this trial

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.

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.

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 performed: Early machine-learning work predicting post-stroke outcomes has shown promise, but robust, externally validated models specifically for post-stroke depression remain limited.

Eligibility 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 this trial is running

Chongqing

• The First Affiliated Hospital of Chongqing Medical University — Chongqing, China (RECRUITING)

Study contacts

• Study coordinator: Yanping Zhang

Conditions: Post-stroke Depression