Clinical Research Directory

Establishment of Disease Characteristics and a Chinese Medicine Prognosis Risk Model Based on a Large-Scale Database After Coronary Revascularization

Sponsor: Liu Qiang

Summary

This study aims to develop a risk prediction model for patients who have undergone coronary revascularization (such as stent placement or bypass surgery). After these procedures, some patients still experience heart-related problems like chest pain, heart attack, or rehospitalization. This study will enroll 600 patients from multiple hospitals in China and follow them for 12 months. At enrollment and at 12, 24, 36, and 48 weeks after surgery, researchers will collect clinical information (including traditional Chinese medicine symptoms, blood tests, heart imaging) and biological samples (blood and tongue coating). Using artificial intelligence, the study will build a predictive model that combines Western medical data with traditional Chinese medicine characteristics. The goal is to better identify patients at higher risk of future heart events, so that personalized prevention and management can be provided. The study does not involve any experimental treatment or intervention - it is purely observational.

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