Wang Xiao-Xia, Han Yuan-Yuan, Shi Gui-Ying, Hu Li-Mei, Lu Ping, Liu Fang
China-Japan Friendship Hospital Beijing 100292, China Beijing Rectum Hospital Beijing 100120, China.
China-Japan Friendship Hospital Beijing 100292, China.
Zhongguo Zhong Yao Za Zhi. 2020 Jan;45(2):444-450. doi: 10.19540/j.cnki.cjcmm.20190513.501.
The traditional Chinese medicine(TCM) decoction pieces for treating tumors in China-Japan Friendship Hospital in both outpatient and inpatient departments from January 1 to December 31, 2018 were analyzed in this paper, and the statistical analysis on the frequency and proportion of TCM decoction pieces, as well as the average dosage and dosage range were conducted. Such data were then compared with Chinese Pharmacopoeia. At the same time, data mining association rules were used to study the compatibility of TCM in oncology, and finally, the drug use in TCM was discussed. The top 20(use frequency) TCM decoction pieces for tumors were mainly based on tonic medicines; the use frequency of toxic TCM decoction pieces was low, mainly of small poisonous pieces, with dosage exceeding pharmacopoeia. The drug combinations with higher frequency included Fried Atractylodis Macrocephalae Rhizoma-Poria Cocos(16.11%), and Astragali Radix-Poria Cocos(15.10%). Drug pairs with strong associations included Achyranthes Bidentata→Parasitic Loranthus, Coix Seed→Achyranthes Bidentata, Achyranthes Bidentata→Hairyvein Agrimony, Cuscutae Semen→Achyranthes Bidentata and so on. According to the use of drugs, the drug monitoring can be emphasized from the aspects of usage and dosage, selection of processed TCM, compatibility, decoction methods, and patient education. Pharmacists can analyze the characteristics and regularity of the use of TCM for tumors through data mining methods, and this can be a cutting point for drug monitoring.
本文对2018年1月1日至12月31日期间中日友好医院门诊和住院部治疗肿瘤的中药饮片进行了分析，对中药饮片的使用频次、比例以及平均用量和用量范围进行了统计分析，并与《中国药典》进行了对比。同时，运用数据挖掘关联规则研究肿瘤领域中药的配伍规律，最后对中药用药情况进行了探讨。肿瘤常用前20味（使用频次）中药饮片以补益药为主；有毒中药饮片使用频次较低，主要为小毒饮片，用量超过药典规定。使用频次较高的药对有炒白术-茯苓（16.11%）、黄芪-茯苓（15.10%）。关联性较强的药对有牛膝→桑寄生、薏苡仁→牛膝、牛膝→仙鹤草、菟丝子→牛膝等。根据用药情况，可从用法用量、中药炮制品种选择、配伍、煎煮方法及患者教育等方面加强用药监测。药师可通过数据挖掘方法分析肿瘤中药用药特点及规律，以此作为用药监测切入点。
