RecruitingNCT06584565

A Multicenter Study Based on Multi-omics Analysis to Predict the Early Prognosis and Recurrence Risk of Acute Ischemic Stroke

Sponsor

Nanfang Hospital, Southern Medical University

Enrollment

400 participants

Start Date

Jan 30, 2024

Study Type

OBSERVATIONAL

Conditions

Ischemic Stroke, Acute

Summary

Through a multicenter prospective AIS cohort study, we analyze the potential association of human proteome, microbiome and metabolome alterations with AIS prognosis, searching for key proteins, differential organisms and metabolites, combining experimental data at multiple molecular levels with computational models, and establishing early prediction models through machine learning-based prediction algorithms. While closely tracking the recurrence of stroke in AIS patients, we evaluate the predictive value of human proteome, microbiome and metabolites for stroke recurrence through a nested case-control study, which provides key reference information for exploring the unknown residual risk of AIS recurrence.

Eligibility

Min Age: 18 YearsMax Age: 75 Years

Plain Language Summary

Simplified for easier understanding

This study is collecting blood samples and medical data from patients who have recently had an acute ischemic stroke (a stroke caused by a blocked blood vessel in the brain). Researchers will analyze multiple biological markers to try to predict who is most likely to recover well and who is at highest risk of the stroke recurring. **You may be eligible if...** - You are between 18 and 75 years old - You have been diagnosed with an acute ischemic stroke within the last 7 days - You can provide informed consent and share your medical history and biological samples **You may NOT be eligible if...** - You have severe impairment of consciousness - You have another serious illness with a life expectancy of less than 3 months - You are unable to provide informed consent - You have a hemorrhagic (bleeding) stroke or other non-ischemic brain event Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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