Establishment of Risk Prediction Model of Coronary Heart Disease After Percutaneous Coronary Intervention Based on Chinese Medicine Syndrome Elements
Major adverse cardiovascular events(MACEs)are serious complications of coronary heart disease(CHD)patients after percutaneous coronary intervention(PCI).Early identification of middle-risk and high-risk individuals with MACEs and active control of risk factors have important clinical significance for improving prognosis.The clinical prediction model of cardiovascular disease risk assessment can identify the risk of cardiovascular disease,which is an important tool for clinicians to carry out health education and health management of high-risk populations.Chinese medicine(CM)syndrome elements are closely related to various pathophysiological changes after PCI,and the construction of a risk prediction model for MACEs after PCI based on syndrome elements may help to improve the accuracy and specificity of the model prediction.The integrated Chinese and Western medicine clinical prediction model can be constructed by incorporating the information of the population and fitting the data from the cohort study.The advantages and disadvantages of similar models were comprehensively evaluated,and repeated validation and optimization were carried out in practical applications to form a scoring system and diagnostic and therapeutic procedures with clinical utility,which can help to assist clinical decision-making and optimize clinical management of the post-PCI.