| 3,403 | 76 | 257 |
| 下载次数 | 被引频次 | 阅读次数 |
目的:免疫力低下人群是新型冠状病毒肺炎易感、高危人群,基于数据挖掘分析中药提高机体免疫功能的用药特点,为新冠肺炎的防治用药提供参考。方法:检索2019年01月至2010年12月之间CNKI中明确方剂可提高患者免疫功能的临床文献,总结单味药应用情况、中药的性味归经、中药药效分类,逐一输入Excel 2013软件建立数据库。采用Clementine12. 0软件及IBM SPSS Statistics 23统计软件进行关联规则分析、聚类分析。结果:全部117首方剂中,使用频率最高的前5味中药分别是甘草、白术、茯苓、黄芪、党参,以甘、苦类药物为主;从药性来看,以温性药物为主;从药物归经分析,以归脾经(60%)、肺经(53. 33%)为主。从中药功效分析,以补虚药最多。关联规则分析得到5组置信度为100%的核心药对,聚类分析将药物分为3类。结论:结合新冠肺炎的中医病因病机、病理特点、各地分期治疗方案分析,在新冠肺炎的预防及治疗阶段,应结合体质、辨证分型,重视甘草、白术、党参、茯苓、黄芪、薏苡仁等中药及白术-薏苡仁-党参、茯苓-党参等核心药对应用,改善机体免疫,提高机体抗病能力,减少减轻新冠肺炎的发生,打赢这场防"疫"阻击战。
Abstract：Objective: Low immunity people is also susceptible and high risk population for Corona Virus Disease 2019( COVID-19). Based on the data mining,application of traditional Chinese medicine on improving the immune function was analyzed,to provide reference for the prevention and treatment of COVID-19. Methods: The clinical literature on the improvement of patients' immune function by specific prescription in CNKI between January 2019 and December 2010 was searched,and the application of single herbs,the classification of traditional Chinese medicine's characteristic and taste,and the efficacy of traditional Chinese medicine were summarized. Clementine12. 0 software and IBM SPSS Statistics 23 software were used for association rule analysis and cluster analysis. Result: Among all 117 prescriptions,five TCM herbs with the highest frequency were Glycyrrhizae Radix Et Rhizoma,Atractylodis Macrocephalae Rhizoma,Poria,Astragali Radix and Codonopsis Radix,mainly showed Gan and Ku flavor,the property was often Wen. Most of them were on Pi and Fei channel system,and were frequently used in " Buxu" prescription. Five groups of core drug pairs with 100% confidence were obtained by association rule analysis,drugs were divided into three groups by cluster analysis. Conclusion: Combined with the COVID-19,the TCM etiology and pathogenesis,pathology analysis and staging treatment in different regions were analyzed. It suggested that on preventing and treating period of COVID-19,the constitution of patients should be considered with " Bianzheng" in clinic. Application of Glycyrrhizae Radix Et Rhizoma,Atractylodis Macrocephalae Rhizoma,Codonopsis Radix,Poria,Astragali Radix,Coicis Semen and other traditional Chinese medicine( TCM) should be focus on,as well as the drug pairs as Atractylodis Macrocephalae Rhizoma-Coicis Semen-Codonopsis Radix,Poria-Codonopsis Radix and other important prescriptions. The aim is to improve the immune function and disease-resistant ability,reduce the morbidity of novel coronavirus pneumonia,thus win the fight against the disease.
[1]吴一平．上海财经大学公共经济与管理学院教授、博士生导师．国家治理能力视角下的武汉疫情防治探讨[N]．第一财经日报，2020-02-10(A12).
[2]唐德志，王晶，梁倩倩，等．从调节"肾精"状态浅谈老年人新冠肺炎的防治[J/OL]．天津中医药，1-7[2020-02-19]. http://kns. cnki. net/kcms/detail/12. 1349. R. 20200213. 0958. 006. html.
[3]韩园园，赵梦冉，石垚，等．中西医结合治疗新型冠状病毒肺炎的应用分析[J/OL]．中草药，1-5[2020-02-21]. http://kns. cnki. net/kcms/detail/12. 1108. R. 20200218. 1652. 010. html.
[4]王拥军，施杞，唐德志，等．防治新冠肺炎老人要重视补肾益精[N]．健康报，2020-02-19(005).
[5]孙亮．保护老年人要做到这几条[N]．健康报，2020-02-19(006).
[6]关于新型冠状病毒肺炎患者的医学营养治疗专家建议[J]．中华普通外科学文献(电子版)，2020,14(01):1.
[7]邓海霞，贾思，陀鹏，等．壮药(救必应颗粒)辅助治疗急性上呼吸道感染(风热犯表证)的临床研究[J]．蛇志，2019,31(4):501-503.
[8]Nanshan Chen,Min Zhou,Xuan Dong,et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan,China:a descriptive study[J]. The Lancet,2020,DOI:https://doi. org/10. 1016/S0140-6736(20)30211-7
[9]赵军宁，张翼冠，胡镜清，等．分子版治未病--基于中医药理学与新一代技术装备的精准中医学发展前瞻[J]．中药药理与临床，2019,35(4):2-9.
[10]刘清泉，夏文广，安长青，等．中西医结合治疗新冠肺炎作用的思考[J/OL]．中医杂志，1-2[2020-02-19]. http://kns. cnki. net/kcms/detail/11. 2166. R. 20200215. 1057. 002. html.
[11]薛博瑜．新型冠状病毒肺炎的中医药辨治思路[J/OL]．南京中医药大学学报，1-4[2020-02-21]. http://kns. cnki. net/kcms/detail/32. 1247.R. 20200218. 0823. 002. html.
[12]薛伯寿，姚魁武，薛燕星．清肺排毒汤快速有效治疗新型冠状病毒肺炎的中医理论分析[J/OL]．中医杂志，1-2[2020-02-21]. http://kns.cnki. net/kcms/detail/11. 2166. R. 20200216. 2004. 002. html.
[13]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，2015,3-384.
[14]钟赣生．《中药学》[M]．北京:中国中医药出版社，2012.
[15]周忠眉，李家辉．基于各类支持度阈值独立挖掘的关联改进算法[J]．计算机工程与科学，2019,41(11):2088-2094.
[16]罗丹，张海明，于兆民，等．中医"治未病"理论指导新冠肺炎防治的思考[J/OL]．陕西中医药大学学报，1-6[2020-02-19]. http://kns. cnki.net/kcms/detail/61. 1501. R. 20200214. 1311. 004. html.
[17]李宝乐，李小叶，任顺平，等．结合3~5版《新型冠状病毒感染的肺炎诊疗方案》和古代文献初探新冠肺炎的中医药辨治[J/OL]．中草药:1-5[2020-02-19]. http://kns. cnki. net/kcms/detail/12. 1108. R.20200218. 1120. 004. html.
[18]周铭心．从五运六气辨识与防治新冠肺炎[J/OL]．中医学报，2020,(2):1-5[2020-02-19]. https://doi. org/10. 16368/j. issn. 1674-8999.2020. 02. 050.
[19]杨华升，王兰，姜良铎．姜良铎教授防治新冠肺炎遣方用药思路[J/OL]．中国实验方剂学杂志，1-6[2020-02-19]. https://doi. org/10. 13422/j. cnki. syfjx. 20200840.
[20]吕睿冰，王文菊，李欣．中药连花清瘟治疗新冠肺炎疑似病例63例临床观察[J/OL]．中医杂志，1-5[2020-02-19]. http://kns. cnki. net/kcms/detail/11. 2166. R. 20200215. 1633. 004. html.
[21]．新型冠状病毒感染的肺炎诊疗方案(试行第五版)[J]．江苏中医药，2020,52(2):96+95.
[22]刘帆，侯林，张晓平，等．薏苡仁多糖抗肿瘤作用及免疫作用研究进展[J]．辽宁中医药大学学报，2019,21(03):123-126.
[23]周岩飞，金凌云，王琼，等．薏苡仁油对小鼠免疫功能影响的研究[J]．中国油脂，2018,43(10):77-81.
[24]吴科锐，韩凌．羧甲基茯苓多糖药理作用研究进展[J]．中药材，2017,40(3):744-747.
[25]崔鹤蓉，王睿林，郭文博，等．茯苓的化学成分、药理作用及临床应用研究进展[J]．西北药学杂志，2019,34(05):694-700.
[26]王刚，金劲松．新冠肺炎中医认识初探[J/OL]．天津中医药:1-4[2020-02-19]. http://kns. cnki. net/kcms/detail/12. 1349. R. 20200214.1710. 004. html.
[27]王明凯，秦雪琴，岳丹，等．基于数据挖掘《中医方剂大辞典》治疗瘟疫用药规律探讨[J]．中国民族民间医药，2019,28(20):5-11.
[28]庞稳泰，金鑫瑶，庞博，等．中医药防治新冠肺炎方证规律分析[J/OL]．中国中药杂志，1-8[2020-02-19]. https://doi. org/10. 19540/j. cnki.cjcmm. 20200218. 502.
[29]毕天琛，杨国宁，马海春．中药薏苡仁化学成分及药理活性研究进展[J]．海峡药学，2019,31(11):52-56.
[30]智信，陈晓，苏佳灿．甘草次酸药理作用研究进展[J]．现代中西医结合杂志，2019,28(25):2847-2850.
[31]顾思浩，孔维崧，张彤，等．白术化学成分、药理作用与复方应用的研究进展[J/OL]．中华中医药学刊，1-6[2020-02-21]. http://kns. cnki.net/kcms/detail/21. 1546. R. 20190813. 1559. 037. html.
[32]夏天卫，刘金柱，周国威，等．托法常用辛、温、热药中活性成分的抗炎研究进展[J/OL]．中华中医药学刊:1-9[2020-02-21]. http://kns.cnki. net/kcms/detail/21. 1546. R. 20190813. 1111. 002. html.
[33]朱天碧，张钊，罗飘，等．党参药理学作用的相关研究进展[J]．神经药理学报，2018,8(6):46.
[34]陆山红，赵荣华，幺晨，等．砂仁的化学及药理研究进展[J]．中药药理与临床，2016,32(1):227-230.
[35]俞静静，苏洁，吕圭源．陈皮抗心脑血管疾病相关药理研究进展[J]．中草药，2016,47(17):3127-3132.
[36]潘芳，庞博，梁腾霄，等．新冠肺炎中医防治思路探讨[J/OL]．北京中医药，1-9[2020-02-19]. http://kns. cnki. net/kcms/detail/11. 5635. R.20200217. 1519. 002. html.
基本信息:
DOI：10.13412/j.cnki.zyyl.20200304.001
中图分类号:R259;TP311.13
引用信息:
[1]武晏屹,田硕,雷会霞,等.基于数据挖掘的中药增强机体免疫功能用药规律分析[J].中药药理与临床,2020,36(01):41-45.DOI:10.13412/j.cnki.zyyl.20200304.001.
基金信息:
郑州市应急科技项目(ZZKJ2020004);; 国家国际合作基地(2016-65)
2020-03-05
2020-03-05
2020-03-05