ZHANG Ying,SHANG Cun-yun,LI Yan-ping*.Investigation and Analysis of Medication Law of Li Yanping for Treatment of Rheumatoid Arthritis Based on Data Mining[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2022,46(3):14-18.[doi:10.3969/j.issn.2095-5707.2022.03.003]
基于数据挖掘探析李延萍治疗类风湿关节炎用药规律
- Title:
- Investigation and Analysis of Medication Law of Li Yanping for Treatment of Rheumatoid Arthritis Based on Data Mining
- 文章编号:
- 2095-5707(2022)03-0014-05
- Keywords:
- data mining; Li Yanping; rheumatoid arthritis; medication law
- 分类号:
- R259.932.2
- 文献标志码:
- A
- 摘要:
- 目的 应用数据挖掘技术分析李延萍主任中医师治疗类风湿关节炎的用药规律。方法 选择2018年12月31日－2020年12月31日李延萍主任中医师在重庆市中医院门诊治疗的类风湿关节炎患者，利用中医传承辅助平台V2.5，统计处方涉及药物的使用频次，使用关联规则、聚类分析等数据挖掘方法，得到中药常用药对、药物组合及新方。结果 得到门诊处方101首，涉及中药127味，其中使用频次≥30的有桂枝、甘草、当归、白芍、姜黄、僵蚕、黄芪、薏苡仁、威灵仙、白术、防风、川牛膝，功效多为益气补血、散寒止痛、健脾利湿、活血通络；常用2味药组合87个，频次最高的组合是白芍-桂枝（42次）；3味药药物组合29个，频次最高的药物组合为甘草-白芍-桂枝（28次）；4味药药物组合1个（21次）。得到由姜黄、僵蚕、薏苡仁、桑寄生、熟地黄等组成的新处方5首。结论 李延萍主任中医师治疗类风湿关节炎用药特点鲜明，药物归经以脾、肝、肺经为主，重视脾胃，以调和营卫、健脾益气补血为基础，并用姜黄、僵蚕、薏苡仁加强除湿止痛、活血通络之效。
- Abstract:
- Objective To analyze the medication law of Li Yanping, chief physician of TCM, in the treatment of rheumatoid arthritis (RA) by using data mining technology. Methods RA patients received by Li Yanping from December 31st, 2018 to December 31st, 2020 at the outpatient department of Chongqing TCM Hospital were chosen. TCM Inheritance Support System V2.5 was used to count the frequency of use of drugs in prescriptions. Data mining methods such as association rules and cluster analysis were used to obtain commonly used TCM pairs, medicinal combinations and new prescriptions. Results 101 outpatient prescriptions were obtained, involving 127 kinds of Chinese materia medica, of which the frequency of use ≥30 were Cinnamomi Ramulus, Glycyrrhizae Radix et Rhizoma, Angelicae Sinensis Radix, Paeoniae Radix Alba, Concisum Rhizoma, Bombyx Batryticatus, Astragali Radix, Coicis Semen, Clematidis Radix et Rhizoma, Atractylodis Macrocephalae Rhizoma, Saposheikovize Radix, and Cyathulae Radix. The efficacy was mainly reinforcing qi and replenishing blood, dissipating cold to kill pain, invigorating the spleen to resolve dampness, promoting blood circulation to remove obstruction from meridians. Totally 87 medicinal pairs were obtained, and the combination with the highest frequency was Paeoniae Radix Alba-Cinnamomi Ramulus; totally 29 medicinal combinations with three drugs were obtained, and the combination with the highest frequency was Glycyrrhizae Radix et Rhizoma-Paeoniae Radix Alba-Cinnamomi Ramulus; one medicinal combination with four drugs was obtained (21 times). Five new prescriptions with Concisum Rhizoma, Bombyx Batryticatus, Coicis Semen, Taxilii Herba, and Rehmannize Radix et Praeparata were obtained. Conclusion With distinctive characteristics of medication, channel tropism of medicine used by Li Yanping, chief physician of TCM, focuses on spleen, liver and lung meridian, and she attaches great importance to spleen and stomach. Based on harmonizing the nutritive and defensive levels, invigorating the spleen, benefiting qi and replenishing blood, she makes good use of Concisum Rhizoma, Bombyx Batryticatus and Coicis Semen, so as to strengthen curative effects of eliminating dampness to relive pain, promoting blood circulation to remove obstruction from meridians.
参考文献/References:
[1] 焦树德,杜甫云.尪痹的辨证论治[J].中医杂志,1992,33(3):11-13.
[2] 高学敏.中药学[M].北京:人民卫生出版社,2012.
[3] 国家药典委员会.中华人民共和国药典:一部[M].北京:中国医药科技出版社,2020.
[4] 国家中医药管理局.中医病证诊断疗效标准:ZY/001.1～001.9－94[S].南京:南京大学出版社,1994:29-30.
[5] Aletaha D, Neogi T, Silman A J, et al. 2010 Rheumatoid arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative[J]. Arthritis & Rheumatism, 2010,62(9):2569-2581.
[6] 刘晓飞,王志中,王勇,等.早期类风湿关节炎患者肠道微生物群落的分析[J].第三军医大学学报,2012,34(23):2411-2415.
[7] 武子英,曹炜,刘立玲,等.肠道微生态与类风湿关节炎中医证候关系研究进展[J].环球中医药,2018,11(9):1479-1482.
[8] 刘淼,吕晓东,白长川.桂枝汤中桂枝、白芍调和营卫与通达血管内外相关性探析[J].河北中医,2019,41(7):1098-1101.
[9] Haftcheshmeh S M, Khosrojerdi A, Aliabadi A, et al. Immunomodulatory effects of Curcumin in rheumatoid arthritis: Evidence from molecular mechanisms to clinical outcomes[J]. Reviews of Physiology, Biochemistry and Pharmacology, 2021,179:1-29.
[10] 黎德育,谭宁,朱辉军,等.姜黄素对关节炎大鼠T细胞的影响[J].南昌大学学报(医学版),2020,60(1):13-16.
[11] 李晓凯,顾坤,梁慕文,等.薏苡仁化学成分及药理作用研究进展[J].中草药,2020,51(21):5645-5657.
[12] 郑红霞,章伟明,周红娟,等.薏苡仁酯对胶原诱导性关节炎小鼠Foxp3+CD4+CD25+调节性T细胞影响的研究[J].中国中西医结合杂志,2016,36(3):348-350.
[13] 陈文文,胡美变,彭伟,等.僵蚕中有效成分白僵菌素的研究进展[J].中国药房,2019,30(24):3452-3456.
相似文献/References:
[1]王耘,张燕玲,史新元,等.中药信息学发展的机遇与挑战[J].中国中医药图书情报杂志,2013,37(2):6.
Wang Yun,Zhang Yanling,et al.The Opportunities and Challenges of Chinese Materia Medica Informatics[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2013,37(3):6.
[2]佟琳,王梓宁,张华敏*.温病古籍中治疗风温遣方用药规律的挖掘分析[J].中国中医药图书情报杂志,2013,37(2):9.
Tong Lin,Wang Zining,Zhang Huamin.Analysis the Laws of Drug-Selecting on Wind-Warm Syndrome by Data Mining of Ancient Books on Warm Diseases[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2013,37(3):9.
[3]谢松,周卫,李文林*,等.基于VB与MATLAB混合编程的数据可视化与数据挖掘软件的研究[J].中国中医药图书情报杂志,2014,38(2):8.[doi:10.3969/j.issn.2095-5707.2014.02.003]
Xie Song,Zhou Wei,Li Wenlin*,et al.A Research on Data Visualization and Data Mining Software Based on VB and MATLAB Hybrid Programming[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2014,38(3):8.[doi:10.3969/j.issn.2095-5707.2014.02.003]
[4]朱毓梅.大数据时代背景下中医古籍面临的机遇与挑战[J].中国中医药图书情报杂志,2014,38(3):12.[doi:10.3969/j.issn.2095-5707.2014.03.004]
Zhu Yumei.Opportunities and Challenges of TCM Ancient Books in the Context of Big Data[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2014,38(3):12.[doi:10.3969/j.issn.2095-5707.2014.03.004]
[5]杨阳,崔蒙,田野,等.664例崩漏医案信息挖掘结果与传统知识比较研究[J].中国中医药图书情报杂志,2014,38(5):5.[doi:10.3969/j.issn.2095-5707.2014.05.002]
Yang Yang,Cui Meng,Tian Ye,et al.A Comparative Study on Data Mining Results of 664 Metrorrhagia Medical Records and Traditional Knowledge[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2014,38(3):5.[doi:10.3969/j.issn.2095-5707.2014.05.002]
[6]刘景亮,裴丽*,李杨,等.基于数据挖掘的利水功效中药药性与有效成分关联规律研究[J].中国中医药图书情报杂志,2014,38(5):9.[doi:10.3969/j.issn.2095-5707.2014.05.003]
Liu Jingliang,Pei Li*,Li Yang,et al.A Study on Association Rules of Chinese Herbal Properties and the Effective Components in Diuresis Efficacy Based on Data Mining[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2014,38(3):9.[doi:10.3969/j.issn.2095-5707.2014.05.003]
[7]康晨,宋幸幸,田会玲,等.基于知识发现的催乳方剂及中药配伍规律挖掘[J].中国中医药图书情报杂志,2015,39(1):12.[doi:10.3969/j.issn.2095-5707.2015.01.003]
KANG Chen,SONG Xing-xing,TIAN Hui-ling,et al.Study on Galactagogue Prescriptions and Compatibility Regularity of Traditional Chinese Medicine Based on Knowledge Discovery Methods[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2015,39(3):12.[doi:10.3969/j.issn.2095-5707.2015.01.003]
[8]张宏伟,史惠媛.数据挖掘在高校图书馆文献采购决策中的应用——以黑龙江中医药大学图书馆为例[J].中国中医药图书情报杂志,2016,40(2):22.[doi:10.3969/j.issn.2095-5707.2016.02.006]
ZHANG Hong-wei,SHI Hui-yuan.Applicatin of Data Mining in the Literature Purchasing Decisions of Libraries of the Colleges and Universities － Taking Library of Heilongjiang University of Chinese Medicine as an Example[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2016,40(3):22.[doi:10.3969/j.issn.2095-5707.2016.02.006]
[9]温静,李晶,郭建丽,等.穴位贴敷疗法治疗哮喘临床运用特点研究[J].中国中医药图书情报杂志,2016,40(4):12.[doi:10.3969/j.issn.2095-5707.2016.04.004]
WEN Jing,LI Jing,GUO Jian-li,et al.Research on Clinical Application Characteristics of Point Application Therapy for Asthma[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2016,40(3):12.[doi:10.3969/j.issn.2095-5707.2016.04.004]
[10]胡雪琴,杨寅,崔蒙*.关于中医药数据挖掘研究理念变迁的探讨[J].中国中医药图书情报杂志,2017,41(1):12.[doi:10.3969/j.issn.2095-5707.2017.01.003]
HU Xue-qin,YANG Yin,CUI Meng*.Discussion on the Research Concept Change of Traditional Chinese Medicine Data Mining[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2017,41(3):12.[doi:10.3969/j.issn.2095-5707.2017.01.003]
备注/Memo
收稿日期：2021-09-29
更新日期/Last Update:
2022-04-24