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

The Second Affiliated Hospital of Air Force Military Medical University

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

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;