Cluster analysis for syndromes of real-world coronary heart disease with angina pectoris

Abstract

Syndromes of coronary heart disease with angina pectoris were analyzed to provide guidance for clinical practice and to improve accuracy of traditional Chinese medicine (TCM) diagnoses and efficacy of TCM treatment. A total of 860 cases with coronary heart disease with angina pectoris were selected from TCM Clinical Research Information Sharing System for TCM clinics and research. Syndromes were automatically extracted with the cluster method and were analyzed to provide objective evidence for clinical studies. Final syndrome classifications were recognized and confirmed by clinical experts. Popular syndromes included Qi and blood deficiency, blood stasis and obstruction collaterals, liver depression and spleen deficiency, and Qi stagnation and blood stasis. Syndromes Qi and blood deficiency and blood stasis and obstruction collaterals accounted for 28.61% of total syndromes, whereas liver depression and spleen deficiency and Qi stagnation and blood stasis accounted for 26.44%. The main syndrome elements comprised Qi deficiency, blood deficiency, blood stasis, and Qi stagnation.

Keywords

syndrome differentiation / real-world study / coronary heart disease with angina pectoris / cluster analysis

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Acknowledgements

This study was supported by National Natural Science Foundation of China (Nos. 81674101 and 81202858), National Key Technology Support Program (No. 2012BAI25B02), Self-selected subject of China Academy of Chinese Medical Sciences (Nos. ZZ05003, ZZ03090, and Z0217), Beijing Key Laboratory of Advanced Information Science Network Technology (No. XDXX1306), and Autonomous Grant from Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences (No. Z254).

Compliance with ethics guidelines

Yufeng Zhao, Xueyun Yu, Xinyu Cao, Lin Luo, Liyun He, Shusong Mao, Li Ma, Peijing Rong, Yuxue Zhao, Guozheng Li, and Baoyan Liu declare no conflict of interest. This manuscript utilized clinical data from a research protocol approved by the ethics committee.

RIGHTS & PERMISSIONS

2017 Higher Education Press and Springer-Verlag GmbH Germany