Study on TCM Syndrome Identification Modes of Coronary Heart Disease Based on Data Mining. Shi Qi,Zhao Huihui,Chen Jianxin,Ma Xueling,Yang Yi,Zheng Chenglong,Wang Wei Evidence-based complementary and alternative medicine : eCAM Coronary heart disease (CHD) is one of the most important types of heart disease because of its high incidence and high mortality. TCM has played an important role in the treatment of CHD. Syndrome differentiation based on information from traditional four diagnostic methods has met challenges and questions with the rapid development and wide application of system biology. In this paper, methods of complex network and CHAID decision tree were applied to identify the TCM core syndromes of patients with CHD, and to establish TCM syndrome identification modes of CHD based on biological parameters. At the same time, external validation modes were also constructed to confirm the identification modes. 10.1155/2012/697028

A Large-Scale, Multi-Center Urine Biomarkers Identification of Coronary Heart Disease in TCM Syndrome Differentiation. Zhou Haonan,Li Lin,Zhao Huan,Wang Yuming,Du Jun,Zhang Pengjie,Li Chunjie,Wang Xianliang,Liu Yuechen,Xu Qiang,Zhang Tianpu,Song Yanqi,Yu Chunquan,Li Yubo Journal of proteome research Coronary heart disease (CHD) threatens human health. The discovery and assessment of potential biometabolic markers for different syndrome types of CHD may contribute to decipher pathophysiological mechanisms and identify new targets for diagnosis and treatment. On the basis of UPLC-Q-TOF/MS metabolomics technology, urine samples of 1072 participants from nine centers, including normal control, phlegm and blood stasis (PBS) syndrome and Qi and Yin deficiency (QYD) syndrome, and other syndromes of CHD, were conducted to find biomarkers. Among them, the discovery set ( n = 125) and the test set ( n = 337) were used to identify and validate biomarkers, and the validation set ( n = 610) was used for the application and evaluation of the support vector machine (SVM) prediction model. We discovered 15 CHD-PBS syndrome biomarkers and 12 CHD-QYD syndrome biomarkers, and the receiver-operator characteristic (ROC) area-under-the-curve (AUC) values of them were 0.963 and 0.990. The established SVM model has a good diagnostic ability and can well distinguish the two syndromes of CHD with a high predicted accuracy >98.0%. The discovery of biomarkers and metabolic pathways in different syndrome types of CHD provides a basis for the diagnosis and evaluation of CHD, thereby improving the accurate diagnosis and precise treatment level of Chinese medicine. 10.1021/acs.jproteome.8b00799

Correlation between Characteristics of Coronary Plaque and Chinese Medicine Syndromes of Coronary Heart Disease: A Cross-Sectional Study Analysed by Intravascular Ultrasound. Chinese journal of integrative medicine OBJECTIVE:To analyse the correlation between the characteristics of coronary plaque in coronary heart disease (CHD) patients with phlegm-blood stasis syndrome (PBS) and blood stasis syndrome (BSS). METHODS:Patients were divided into different groups based on Chinese medicine (CM) syndrome differentiation. The baseline demographics and clinical variables were collected from the medical records. Additionally, the characteristics of plaque and pathological manifestations in coronary artery were evaluated using intravascular ultrasound (IVUS). RESULTS:A total of 213 CHD patients were enrolled in two groups: 184 were diagnosed with PBS and the remaining 29 were diagnosed with BSS. There were no significant differences in age, body mass index, proportions of patients with high blood pressure, diabetes mellitus, smoking, hyperlipidemia, history of coronary artery bypass graft and percutaneous coronary intervention, medications, index from cardiac ultrasound image, blood lipids and C-reactive protein between the two groups (P>0.05), except gender, weight and proportions of IVUS observed target vessels (P<0.05 or P<0.01). More adverse events such as acute myocardial infarction (P=0.003) and unstable angina (P=0.048) were observed in BSS. Additionally, dissection, thrombus and coronary artery ectasia were significantly increased in BSS (P<0.05 or P<0.01). In contrast, PBS had more patients with stable angina and chronic total occlusion with significantly higher SYNTAX (synergy between percutaneous coronary intervention with Taxus and coronary artery bypass surgery) scores (P<0.05 or P<0.01). Moreover, dense-calcium was significantly elevated in PBS (P<0.01). CONCLUSIONS:Coronary plaque characteristics were correlated with different CM syndromes. Patients with PBS were associated with a higher degree of calcified plaque and severe coronary artery stenosis, indicating poor clinical prognosis but with a low probability of acute coronary events. In contrast, the degree of calcified plaque in patients with BSS remained relatively low, and plaque was more vulnerable, resulting in the possibility of the occurrence of acute coronary events remaining high. 10.1007/s11655-021-2874-z