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Development and Prospective Validation of an AI Model for Prognosis in ITP Patients Undergoing Coronary Revascularization
Sponsor: Xiao Hui Zhang
Summary
This study employs a dual-cohort design to develop and validate a prognostic model for Major Adverse Cardiovascular Events (MACE) following revascularization in immune thrombocytopenia (ITP) patients with Coronary Artery Disease (CAD). The model will be developed and trained using a retrospective multi-center cohort (development/training cohort). Its performance will then be prospectively validated in a separate, consecutively enrolled prospective cohort (validation cohort). The goal is to create an AI-based tool to assist in personalized risk assessment and decision-making for this high-risk population.
Official title: An Artificial Intelligence-Enhanced Longitudinal Cohort Study to Optimize Revascularization Decisions in Patients With Coronary Artery Disease and Immune Thrombocytopenia (The ITP-CAD AI-REVASC Study)
Key Details
Gender
All
Age Range
18 Years - 90 Years
Study Type
OBSERVATIONAL
Enrollment
600
Start Date
2026-02-25
Completion Date
2029-02-25
Last Updated
2026-02-23
Healthy Volunteers
No