Prediction of Risk Factors for Adverse Events After Head and Neck Vascular Recanalization Surgery Based on Machine Learning Models

NCT ID: NCT06120478

Last Updated: 2025-04-16

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 1300 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2019-01-01
• Study Completion Date: 2023-10-01

Brief Summary

Prediction of risk factors for adverse events after head and neck vascular recanalization surgery based on machine learning models

Conditions

Machine Learning

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Study Groups

xi'an

observe

Intervention Type: OTHER

observational study

shanxi

observe

Intervention Type: OTHER

observational study

Interventions

observe

observational study

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

• All enrolled patients were diagnosed with clear head and neck artery stenosis and a risk event after head and neck revascularization;
• Location of lesion: origin of internal carotid artery, bifurcation of internal and external carotid arteries;
• Patients with symptomatic head and neck artery stenosis and dangerous events after head and neck blood flow reconstruction, and with a degree of stenosis ≥ 70% on non-invasive examination or stenosis ≥ 50% found on angiography;
• Asymptomatic head and neck artery stenosis and risk events after head and neck revascularization, with a degree of stenosis ≥ 70% on non-invasive examination or stenosis ≥ 60% found on angiography;
• Asymptomatic head and neck artery stenosis and dangerous events after head and neck blood flow reconstruction, with a non-invasive examination of stenosis degree less than 70%, but angiography or other examinations indicate that the stenosis lesion is in an unstable state;
• Symptomatic head and neck artery stenosis and risk events after head and neck revascularization, non-invasive examination of head and neck artery stenosis and risk events after head and neck revascularization are 50% to 69%;
• Sign the project informed consent form

Exclusion Criteria

• Patients with poor overall condition and intolerance to general anesthesia;
• Patients with mental illness or severe mental illness;
• Severe respiratory system diseases;
• Pregnant and lactating women;
• Participating in another clinical study;
• Patients with advanced tumors or those who are expected to die within one year;

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 90 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Tang-Du Hospital

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Locations

Tangdu Hospital

Xi'an, Shaanxi, China

Countries

China

Other Identifiers

Bei Liu

Identifier Type: -

Identifier Source: org_study_id