NCT06452173

Brief 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.

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
300

participants targeted

Target at P75+ for all trials

Timeline
8mo left

Started Apr 2024

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
enrolling by invitation

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress76%
Apr 2024Dec 2026

Study Start

First participant enrolled

April 15, 2024

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

June 5, 2024

Completed
6 days until next milestone

First Posted

Study publicly available on registry

June 11, 2024

Completed
2.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 31, 2026

Expected
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2026

Last Updated

June 13, 2024

Status Verified

June 1, 2024

Enrollment Period

2.5 years

First QC Date

June 5, 2024

Last Update Submit

June 11, 2024

Conditions

Keywords

carotid stenosisstrokeRisk prediction modelDeep-learning

Outcome Measures

Primary Outcomes (1)

  • Number of Patients with Cerebrovascular Events

    Patients will be categorized as having a cerebrovascular event if they meet one of the following indicators: i. cerebral infarction in the middle cerebral artery territory on the side of carotid stenosis; ii. transient ischemic attack symptoms (including motor and sensory) in the hemisphere on the side of stenosis; and iii. transient amaurosis on the side of stenosis.

    Within six months from the date of consultation

Study Arms (2)

high risk

Patients with cerebrovascular events within six months, including i. cerebral infarction in the middle cerebral artery territory on the side of carotid stenosis; ii. transient ischemic attack symptoms (including motor and sensory) in the hemisphere on the side of stenosis; and iii. transient amaurosis on the side of stenosis. This indicates an unstable condition and such patients are defined as high-risk carotid stenosis patients.

Diagnostic Test: PlasmaDiagnostic Test: carotid high-resolution magnetic resonance imaging

low risk

Patients without cerebrovascular events within six months are defined as low-risk carotid stenosis patients.

Diagnostic Test: PlasmaDiagnostic Test: carotid high-resolution magnetic resonance imaging

Interventions

PlasmaDIAGNOSTIC_TEST

Plasma levels of metabolites and some proteins will be further determined

high risklow risk

Define plaque composition and morphological characteristics

high risklow risk

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

All patients who met the enrollment criteria at Beijing Tiantan Hospital.

You may qualify if:

  • Patients diagnosed with atherosclerotic carotid stenosis;
  • Those who signed informed consent and volunteered to participate in this study.

You may not qualify if:

  • Patients with combined severe stenosis of intracranial arteries;
  • Patients with combined cardiogenic embolism, vasculitis, entrapment aneurysm and other related cerebral infarction;
  • Combination of tumors, rheumatic immune system diseases, hematologic diseases and other diseases that change blood metabolism and proteomic characteristics;
  • There are contraindications to magnetic resonance scanning and allergy to gadolinium contrast agent;
  • Inability to cooperate in completing the relevant examinations.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Beijing Tiantan hospital

Beijing, Beijing Municipality, 100070, China

Location

Biospecimen

Retention: SAMPLES WITHOUT DNA

blood and plaque specimen

MeSH Terms

Conditions

Carotid StenosisStroke

Condition Hierarchy (Ancestors)

Carotid Artery DiseasesCerebrovascular DisordersBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesArterial Occlusive DiseasesVascular DiseasesCardiovascular Diseases

Study Officials

  • Yan Zhang, MD

    Beijing Neurosurgical Institution

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
CROSS SECTIONAL
Target Duration
1 Week
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

June 5, 2024

First Posted

June 11, 2024

Study Start

April 15, 2024

Primary Completion (Estimated)

October 31, 2026

Study Completion (Estimated)

December 31, 2026

Last Updated

June 13, 2024

Record last verified: 2024-06

Data Sharing

IPD Sharing
Will not share

Locations