Analysis of medication rules of traditional Chinese medicine in treatment of renal anemia based on data mining
- VernacularTitle:基于数据挖掘的中药治疗肾性贫血的用药规律研究
- Author:
Li ZHENG
1
;
Ming LIU
2
;
Xuelin SUN
3
Author Information
1. Dept. of Pharmacy，No. 731 Hospital of China Aerospace Science and Industry Corporation Limited，Beijing 100074，China
2. Evidence-based Medicine Center，Lanzhou University，Lanzhou 730000，China
3. Dept. of Pharmacy，Beijing Hospital，Beijing 100010，China
- Publication Type:Journal Article
- Keywords:
renal anemia;
data mining;
R language
- From:
China Pharmacy
2023;34(5):591-594
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To carry out data mining on the prescriptions of traditional Chinese medicine （TCM） for the treatment of renal anemia， and to explore the medication rules of TCM in the treatment of renal anemia. METHODS The Chinese and English databases including PubMed， the Cochrane Library， Web of Science， CNKI， Wanfang， VIP and CBM were searched by computer to screen the related literature about TCM in the treatment of renal anemia. Excel software was used to extract prescription information， including frequency of use， property and flavor， meridian tropism and efficacy of single TCM. Association rule analysis and hierarchical clustering analysis were performed for each ingredient of TCM with R language. RESULTS A total of 268 literature were included， involving 169 ingredients with a total use frequency of 3 919 times. Among them， Astragalus memeranaceus， Angelica sinensis， Atractylodes macrocephala， Rheum officinale， Poria cocos， Radix Rehmanniae Praeparata， Radix Codonopsis， Salvia miltiorrhiza and Ligusticum chuanxiong were used more than 100 times. The properties and flavors of the drugs were mainly warm and sweet； meridian tropism mainly targeted spleen， liver and kidney； the function was mainly in replenishing qi， nourishing blood， promoting blood circulation and removing blood stasis， and clearing damp and promoting diuresis， purgation. The result of association rule analysis showed that the core ingredients were A. memeranaceus， A. sinensis， A. macrocephala， P. cocos and S. miltiorrhiza. Hierarchical cluster analysis showed that the clustering results were divided into grade 1， 2 and 3， and the cluster classification of A. memeranaceus and A. sinensis was always the same. CONCLUSIONS The core prescription for treating renal anemia includes A. memeranaceus， A. sinensis， A. macrocephala， P. cocos and S. miltiorrhiza； among them， A. memeranaceus and A. sinensis are at the center of the core prescription and indispensable. The medication rule is mainly guided by drugs for invigorating qi， nourishing blood， strengthening spleen， and removing dampness. According to the characteristics of different symptoms of patients， dialectical treatment is made， and other TCM is added or subtracted on the basis of the core prescription.
