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Risk Prediction Model for Cerebrovascular Events in Carotid Artery Stenosis

NCT06452173 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2024-06-13

No results posted yet for this study

Summary

Atherosclerotic carotid artery stenosis is a major cause of stroke, and early identification of high-risk patients combined with surgical intervention can significantly reduce stroke risk. Currently, stroke risk assessment in patients with carotid artery stenosis primarily relies on imaging indicators such as plaque morphology, composition, and degree of stenosis, with less emphasis on indicators directly related to inflammation, hemodynamics, and plaque instability. Certain circulating metabolites are closely linked to plaque progression and are direct risk factors for stroke. However, there is a lack of stroke risk prediction models for patients with carotid stenosis that incorporate these indicators, and the ability to identify high-risk patients needs improvement.

This study proposes using deep learning technology to integrate multidimensional data from plaque imaging, fluid dynamics, circulating metabolomics, and proteomics to construct an accurate prediction model for cerebrovascular events in patients with carotid artery stenosis. Additionally, it aims to explore markers of plaque instability characteristics based on plaque pathology. The study is expected to provide a basis for identifying high-risk patients with carotid artery stenosis, thereby laying the foundation for reducing stroke risk and improving long-term patient outcomes.

Conditions

  • Carotid Stenosis

Interventions

DIAGNOSTIC_TEST

Plasma

Plasma levels of metabolites and some proteins will be further determined

DIAGNOSTIC_TEST

carotid high-resolution magnetic resonance imaging

Define plaque composition and morphological characteristics

Sponsors & Collaborators

  • Beijing Neurosurgical Institute

    collaborator OTHER

  • Beijing Tiantan Hospital

    lead OTHER

Principal Investigators

  • Yan Zhang, MD · Beijing Neurosurgical Institution

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-04-15
Primary Completion
2026-10-31
Completion
2026-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06452173 on ClinicalTrials.gov