Cluster analysis for syndromes of real-world coronary heart disease with angina pectoris.
10.1007/s11684-017-0556-1
- Author:
Yufeng ZHAO
1
;
Xueyun YU
2
;
Xinyu CAO
2
;
Lin LUO
2
;
Liyun HE
2
;
Shusong MAO
3
;
Li MA
3
;
Peijing RONG
4
;
Yuxue ZHAO
4
;
Guozheng LI
5
;
Baoyan LIU
6
Author Information
1. Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China. snowmanzhao@163.com.
2. Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
3. Department of Information Technology, Hubei University of Medicine, Wuhan, 430064, China.
4. Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
5. National Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
6. National Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China. 13601180524@139.com.
- Publication Type:Journal Article
- Keywords:
cluster analysis;
coronary heart disease with angina pectoris;
real-world study;
syndrome differentiation
- MeSH:
Aged;
Angina Pectoris;
diagnosis;
therapy;
Cluster Analysis;
Coronary Disease;
diagnosis;
therapy;
Diagnosis, Differential;
Female;
Hemostasis;
Humans;
Male;
Medicine, Chinese Traditional;
Middle Aged;
Syndrome
- From:
Frontiers of Medicine
2018;12(5):566-571
- CountryChina
- Language:English
-
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.
