[Advances in risk prediction model of disease and syndrome combination and concept of construction of risk prediction model for in-stent restenosis after PCI].

Traditional Chinese medicine(TCM) has its unique understanding of the etiology, pathogenesis, and risk factors of di-seases, and is advantageous in the study of risk prognosis.First recorded in Huangdi's Internal Classic, the TCM theory of treating di-sease before its onset has a long history.Supplemented and improved by the later generations of doctors, the TCM theory of treating di-sease before its onset has been applied to clinical practice and achieved good results.With the development of modern medicine, it has become a new trend to construct the risk prediction model integrating the research results of modern medicine with disease and syndrome combination of TCM characteristics.The construction of risk prediction model of disease and syndrome combination is conducive to early clinical screening and intervention, and provides ideas for the integration of TCM and western medicine.Coronary heart disease(CHD) is one of the common chronic diseases, and percutaneous coronary intervention(PCI) is an important therapeutic approach.In-stent restenosis(ISR) is a common complication after PCI, which seriously affects the outcome and prognosis of patients.Although some patients can be treated with balloon dilatation and endovascular stents, a significant number of patients still refuse secondary stenting intervention.The construction of risk prediction model of disease and syndrome combination for ISR after PCI can provide an effective tool for clinical risk prediction of ISR and indicators with TCM characteristics for early screening and intervention of people at a high risk of ISR, and guide clinical monitoring and intervention, which has certain clinical significance and reference value for the prevention and reduction of ISR.

[Evaluation of diagnostic efficacy of artery elasticity and endothelial function indexes for coronary heart disease with blood stasis syndrome in postmenopausal women by Logistic regression combined with ROC curve model].

The present study explored the correlation of coronary heart disease(CHD) with blood stasis syndrome in postmenopausal women with artery elasticity and endothelial function indexes and evaluated the diagnostic efficacy of the prediction model via logistic regression and receiver operating characteristic(ROC) curve model. A retrospective comparison was made between 366 postmenopausal CHD patients from August 1, 2020, to September 30, 2021, in the Department of Cardiology of Integrated Traditional Chinese and Western Medicine of China-Japan Friendship Hospital, who were divided into the blood stasis syndrome group(n=196) and the non-blood stasis syndrome group(n=170). General clinical characteristics of the two groups were compared. Multivariate logistic regression analysis was used to probe the correlation of CHD with blood stasis syndrome in postmenopausal women with brachial-ankle pulse wave velocity(baPWV), ankle-brachial index(ABI), and flow-mediated dilatation(FMD), and the ROC curve was drawn to evaluate the diagnostic efficiency of the prediction model. Multivariate logistic regression analysis showed that the correlation coefficients of CHD with blood stasis syndrome in postmenopausal women with baPWV, ABI, and FMD were 1.123, 0.109, and 0.719, respectively(P=0.004, P=0.005, P<0.001),and the regression equation for predicting probability P was P=1/[1+e~(-(3.131+0.116×baPWV-2.217×ABI-0.330×FMD))]. ROC curve analysis suggested that in the context of baPWV≥19.19 m·s~(-1) or ABI≤1.22 or FMD≤9.7%, it was of great significance to predict the diagnosis of CHD with blood stasis syndrome in postmenopausal women. The AUC of baPWV, ABI, FMD, and prediction probability P was 0.763, 0.607, 0.705, and 0.836, respectively. The AUC of prediction probability P was higher than that of each index alone(P<0.001), and the sensitivity and specificity were 0.888 and 0.647, respectively. The results demonstrate that baPWV, ABI, and FMD are independently correlated with CHD with blood stasis syndrome in postmenopausal women, and show certain independent predictive abilities(P<0.05). The combined evaluation of the three possesses the best diagnostic efficiency.