Study on traditional Chinese medicine syndromes of ulcerative colitis based on factor analysis and cluster analysis
WANG Zhiyuan1 ZHANG Ningyi2 WU Shanshan2 QU Yingdi2 GONG Yucheng2 HAN Haixiao1 WANG Zhibin1
1.Department of Gastroenterology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, China;
2.Beijing University of Chinese Medicine, Beijing 100078, China
Abstract：Objective To explore the classification and distribution of traditional Chinese medicine (TCM) syndromes of ulcerative colitis. Methods The cases come from the Department of Gastroenterology of outpatients and inpatients, Dongfang Hospital of Beijing University of Chinese Medicine from November 2016 to January 2019. According to the quality control requirements of statistics, a questionnaire for TCM syndromes of ulcerative colitis was compiled, and four diagnostic data were collected according to the clinical design plan. The four diagnostic information of 120 patients was studied by factor analysis and cluster analysis, so as to get the classification and distribution rule of the main TCM syndromes of ulcerative colitis. Results Based on the factor analysis and cluster analysis of the syndrome information of ulcerative colitis patients, three main syndrome types were obtained: large intestine damp heat and spleen deficiency damp accumulation syndrome (54 cases, 45%), cold heat mixed and liver stagnation spleen deficiency syndrome (34 cases, 28%), liver stagnation spleen deficiency and spleen yang deficiency syndrome (32 cases, 27%). Conclusion Factor analysis and cluster analysis can objectively analyze the classification and distribution of TCM syndromes of ulcerative colitis, and the characteristics of TCM syndromes of ulcerative colitis can be found.
王志愿1 张宁怡2 吴珊珊2 曲英迪2 宫宇澄2 韩海啸1 王志斌1. 基于因子分析与聚类分析对溃疡性结肠炎中医证候的研究[J]. 中国医药导报, 2019, 16(30): 163-167.
WANG Zhiyuan1 ZHANG Ningyi2 WU Shanshan2 QU Yingdi2 GONG Yucheng2 HAN Haixiao1 WANG Zhibin1. Study on traditional Chinese medicine syndromes of ulcerative colitis based on factor analysis and cluster analysis. 中国医药导报, 2019, 16(30): 163-167.
2019, Vol. 16 
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