Analysis on medication rule of traditional Chinese medicine treating chemotherapy-induced diarrhea based on traditional Chinese medicine(TCM) inheritance computing platform system

Objective:To dig deeper into the traditional Chinese medicine treatment rules of chemotherapy-induced diarrhea with traditional Chinese medicine(TCM)inheritance computing platform system.Methods:Taking“traditional Chinese medicine”,“chemotherapy”and“diarrhea”as the theme words,comprehensive search of the database of CNKI,Wanfang and VIP from its inception to November 2020 was conduct-ed.The formulas of external treatment of traditional Chinese medicine for chemotherapy-induced diarrhea were included and the association rule,clustering and factor analysis were carried out.Results:A total of 145 papers,57 prescriptions meeting the inclusion criteria were collected,among which high-frequency drugs including Baizhu(Atractylodis macrocephalae rhizoma),Fuling(Poria),Dangshen(Codonopsisradix),Huanglian(Coptidis rhizoma),Zhigancao(Glycyrrhizae radix et rhizoma praeparata cum melle)were the most commonly used.The confidence level was set as 0.7 and the support level was set as 10,12 core compatibility groups were obtained,and 6 categories were cluster analyzed.Conclusion:The principle of external treatment of chemotherapy-induced diarrhea is mainly“restore deficiency and benefiting qi”,“benefiting water infiltration and dampness”,“clearing heat”and“inducing astringency”.Prescription combination and new prescription combination based on traditional Chinese medicine(TCM)inheritance computing platform system can be used as reference for clinicians and applied in primary hospitals.

Analysis on the medication rules and mechanisms of action of traditional Chinese medicine in treating cervical cancer

Objective: To summarize the rule of application of traditional Chinese medicine (TCM) in the prevention and treatment of cervical cancer, and to explore the molecular mechanism of the compatibility of core herbs. Methods: Collect relevant literatures on cervical cancer in Chinese National Knowledgey Ifrastructure (CNKI), use TCM inheritance platform system (TCMISSV2.5) for association rules and complex system entropy clustering analysis;use BATMAN-TCM online analysis tools to construct target-pathway-disease network to reveal the underlying mechanisms of action. Results: Among the 78 prescriptions selected, a total of 172 Chinese medicines were used, and the five most frequently used herbs were Huang-bo (Phellodendri Chinrnsis Cortex), Fu-ling (Poria Cocos), Huang-qi (Hedysarum Multijugum Maxim.), Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Gan-cao (Licorice). Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Huang-qi (Hedysarum Multijugum Maxim.), Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Fu-ling (Poria Cocos), Bai-zhu (Atractylodes Macrocephala Koidz.) and Fu-ling (Poria Cocos) are the three most commonly used medicine match. In addition, through cluster analysis, a total of 4 core herbs compatibility and 2 new prescriptions were excavated. Herbs in the new prescriptions which are used to clearing heat-toxin and removing dampness were most frequently used. Through the analysis of the signal pathway of high frequency Chinese medicines, we found that neuroactive ligand-receptor interaction pathway may play important roles. Conclusion: The core Chinese medicines for the prevention and treatment of cervical cancer are mainly clearing heat-toxin and removing dampness. The core Chinese medicines may play their anti-cervical cancer by interfering with the neuroactive ligand-receptor interaction signaling pathway.

Compatibility rule of traditional Chinese medicine for treatment of cardiac neurosis based on data mining

Objective:To analyze the prescription and medication rule of traditional Chinese medicine(TCM)in treating cardiac neurosis by using the software of"Traditional Chinese Medicine Inheritance Assistant Platform(V2.5)".Methods:China Journal Full-Text Database,Wanfang database,Weipu Chinese Periodical Service Platform and Chinese biomedical literature database were retrieved according to the inclusion and exclusion criteria.Literatures on the treatment of cardiac neurosis with TCM prescriptions were screened out and data mining was carried out using the TCM inheritance assistant platform.Use frequency,commonly used dose,the frequency of properties,flavors and meridian distribution were counted.Association rules and entropy clustering analysis for complex system were used to extract core drug combinations and unsupervised entropy hierarchical clustering was used to predict potential new prescriptions.Results:Through literature retrieval and screening,210 types of prescriptions were finally selected,and 181 types of Chinese herbs were extracted,with cumulative frequency of 2410 times.Among them,there were 46 traditional Chinese medicines that were used more than 15 times.According to the efficacy and indication,they were classified into qi-regulating drugs,tranquilizers,qi-tonifying drugs,heat-clearing drugs,blood-tonifying drugs,etc.According to properties,flavors,and meridian distribution,warm and sweet drugs were the most commonly used,mostly distributing to the heart meridian,followed by liver and spleen meridians.Association rules showed that combination of radix paeoniae and paeonia-bupleurum was the most used;faructus aurantii and bupleurum had the strongest correlation,up to 90%.The network diagram indicated that bupleurum,angelica sinensis,radix paeoniae radix,and poria cocos were the core of the association network.Based on complex system entropy clustering,24 core drug combinations were obtained.The unsupervised entropy hierarchical clustering algorithm was used to extract 12 core drug combinations,and 6 potential new formulae were obtained by further clustering.Conclusion:Regulating qi and blood,addressing both symptoms and causes,and using purgation and tonification at the same time is the principle of the treatment of cardiac neuropathy with TCM.The treatment mainly starts from the heart,liver and spleen,and therapies include soothing the liver and regulating qi,clearing heat and resolving phlegm,tranquilizing and calming the nerves,and prompting blood circulation and diuresis.

Rule of prescribing traditional Chinese medicine in the treatment of pneumoconiosis basedon association rules and k-means clustering algorithm

Objective:To analyze the rule of prescribing traditional Chinese medicine for treating pneumoconiosis,so as to provide reference for differential diagnosis and treatment of pneumoconiosis as well as for the development of new drugs for treatingthe disease.Methods:We searched China National Knowledge Infrastructure,Wanfang Database and VIP Chinese PublicationDatabase to retrieve relevant literatures which were then screened according to the enrollment criteria to establish a prescriptiondatabase of traditional Chinese medicine for the treatment of pneumoconiosis.The inheritance calculation platform of traditionalChinese medicine was used to analyze the prescribing rule of traditional Chinese medicine in the treatment of pneumoconiosisbased on association rules,k-means clustering algorithm and regression model analysis.Results:A total of 131 related literature were preliminarily selected,from which 97 prescriptions of traditional Chinese medicine with a total of 195 herbs were included.The most frequently prescribed herbs included Radix astragali,Platycodon grandiflorum,Pinellia ternata,licorice,Codonopsispilosula,Salvia miltiorrhiza,bitter almond etc.A total of 14 association rules,13 high-frequency herb pairs were found and 5groups of formulas were revealed by cluster analysis.Conclusion:The prescriptions for the treatment of pneumoconiosis are mainly composed of herbs for tonifying deficiency,resolving phlegm,relieving cough and asthma,activating blood circulation and removingblood stasis,which are supplemented with herbs for clearing heat,relieving appearance,regulating qi,promoting waterand permeating dampness,etc.,The prescribing rules reflect the basic pathological characteristics of lung deficiency and collateral arthralgia in pneumoconiosis,which provides some ideas for the clinical differentiation and treatment of pneumoconiosis in traditionalChinese medicine.It also provides reference for the research and development of new treatment methods.

Medication patterns of ancient Chinese medicinal prescriptions fordiabetic retinopathy

Objective:To mine the medication patterns of ancient prescriptions for diabetic retinopathy(DR)from databases of traditional Chinese medicine(TCM)ancient books,and provide evidence for clinical practice and scientific research of TCM treatment for DR.Methods:The traditional library retrieval and modern data retrieval technology were combined to collect the ancient prescriptions in these databases,including the library ofHunan University ofChinese Medicine,Chinese Medical Dictionary,Duxiu,and Chaoxing Digital Library.And the TCM inheritance auxiliary platform(V3.0)was used for data mining,mainly including drug frequency analysis,medicinal property and meridian tropism analysis,efficacy analysis,correlation analysis,complex network analysis,and cluster analysis.Results:A total of 271 ancient prescriptions for the treatment of DR were collected,involving 296 drugs.The total medication frequency was 2,727.Most of them were cold and sweet drugs.The meridians primarily targeted were the liver,kidney,and spleen.The main effects of drugs were supplementing deficiency,clearing heat,releasing the exterior,inducing urination to drain dampness,pacifying liver and extinguishing wind,and circulating blood and transforming stasis.Saposhnikovia divaricata was the most frequently Chinese herbal medicine for DR in TCM ancient books.Saposhnikovia divaricata and ligusticum wallichi,saposhnikovia divaricata and notopterygium root,angelica sinensis and ligusticum wallichii were common herbal pairs.Saposhnikovia divaricata,ginseng,plantain seed,angelica sinensis,prepared rehmannia root and cassia seed constituted the core formula with the highest frequency.Conclusion:The core prescriptions for treating DR are mainly crafted from Dihuang pill,Ruiren powder,Siwu decoction,and Zhujing pill.Saposhnikovia divaricata is an important meridian-guiding medicine to open Xuanfu for DR.In clinical practice,the prescriptions should be modified according to the evolution of pathogenesis.

Discussion on the mechanism of TCM treatment of climacteric syndrome based on TCM inheritance assistance system and network pharmacology

Background:To explore the law of traditional Chinese medicine in the treatment of climacteric syndrome,and to study the potential mechanism of traditional Chinese medicine therapy.Methods:For the relevant prescriptions collected from Chinese Journal Full-text Database,Wanfang medical network,PubMed and EMBASE were transferred to the traditional Chinese medicine inheritance assistant system(TCMISSV2.5)to conduct the nucleocentric drug group analysis.In this study,we used BATMAN-TCM(http://bionet.ncpsb.org/batman-tcm/)online analysis tool to analyze Therapeutic Target Database disease enrichment and Kyoto Gene and Genome Encyclopedia(KEGG)pathway enrichment,and Cytoscape(3.7.1)software was used to construct disease-target and KEGG pathway-target networks for visualization.Results:Among the 103 prescriptions,3 pairs of core drug combinations and 9 new prescriptions were selected by data mining.In the KEGG pathway of Zhimu(Anemarrhenae rhizoma)and Huangbo(Phellodendri Chinensis cortex),the most potential targets were found in the neural active ligand receptor interaction pathway.Conclusion:The compatibility of Anemarrhenae rhizoma and Phellodendri Chinensis cortex may play a role in the treatment of nervous system symptoms in patients with climacteric syndrome by interfering the neuroactive ligand receptor interaction signaling pathway.

基于中医传承辅助平台挖掘中药治疗小儿霰粒肿的用药规律

目的 基于中医传承数据平台挖掘探索中药治疗小儿霰粒肿的组方规律。方法 选取建库至2022年11月中国知网、万方和维普数据库中关于中药治疗小儿霰粒肿的文献。将收集到处方录入中医传承计算平台(V3.0)软件中,统一中药名称后,对药物的属性、用药频次和功效等进行分析。结果 (1)一般情况:共纳入符合标准的处方共57个,涉及中药151味,累计使用频次位582次。中药四气以寒性最多(69味,45.92%),五味以苦味药最多(54味,35.92%),归经以肺经最多(41味,27.27%)。(2)高频中药使用频次:使用频次≥12次的中药(高频中药)共12味。排在前5位的依次是陈皮(29次,4.98%)、半夏(26次,4.47%)、茯苓(26次,4.47%)、甘草(24次,4.12%)、连翘(17次,2.92%)。(3)高频中药功效分类:以清热药最多,138次(23.71%),其次为化痰止咳药(60次,10.30%)、解表药(54次,9.27%)、补虚药(44次,7.56%)、理气药(40次,6.87%)。(4)高频中药聚类分析:共得到6类组方,功效依次为益气健脾,燥湿化痰;消食导滞,益气和胃;化痰散结,健脾化湿;清热解毒,消散疔疮;明目退翳,化痰散结;降逆蠲饮,宁心定悸。(5)高频中药关联规则分析:关联性较强的5对为陈皮-茯苓,陈皮-半夏,半夏-甘草,陈皮-僵蚕,陈皮-连翘。结论 小儿霰粒肿的中医药用药以清热解毒、化痰散结为主,配以益气健脾、清肝疏风类,为临床医生提供药物参考及治疗思路。

基于需求驱动的中医药古籍校内传播的若干思考与实践——以浙江中医药大学图书馆为例

[目的]总结基于需求驱动的中医药古籍校内传播的成果、价值与优势。[方法]通过文献研究、实证研究等方法,在检视当下古籍传播不足的基础上,阐述“需求”要素的决定性价值,并进一步从观念的植入、古籍阅读技术性困难的化解、古籍传播与教学科研接轨、平台建设4个方面介绍基于需求驱动的中医药古籍校内传播的相关实践。[结果]基于供给驱动的传播存在着供给端热而需求端冷的问题,而且对精英群体的需求反馈相对淡漠,使传播方式低效。基于需求驱动的传播策略实施3年来,大学生医学文献年借阅量、师生发表古籍研究论文数量与质量增长势头强劲,图书馆古籍与相关科普平台建设迈上了新台阶。[结论]通过对浙江中医药大学中医药古籍校内传播的个案研究,探索基于需求驱动的传播策略,赋予传播以内生的动力,体现其得天独厚的优势,从而切实提高传播效率。

国医大师熊继柏治疗泄泻用药规律探究

对国医大师熊继柏治疗泄泻病案进行数据挖掘,分析熊继柏教授诊治泄泻的用药经验。基于中医传承辅助平台软件(V3.0),归纳和分析熊继柏教授在湖南中医药大学第一附属医院治疗泄泻患者的门诊病历数据,利用该平台软件的关联规则、复杂系统熵聚类等统计方法进行数据挖掘和分析,总结药物的性味、归经、应用频次、舌脉象频次及药对组合,通过结合熊继柏教授对泄泻病因病机、治则治法的认识,明确核心用药,探索国医大师的诊治规律及用药规律;且以验案举例说明。通过总结分析,共纳入病历168份,处方中用药频次较多的有砂仁、厚朴、黄连、木香、甘草、茯苓、白术、陈皮、半夏、西洋参,药性以温、平、寒为主,药味偏苦、辛、甘,归经多为脾胃经,归纳出治疗泄泻的主方为香砂六君子汤和连朴饮。国医大师熊继柏治疗泄泻以“健脾理气,清热燥湿”为治疗原则,在香砂六君子汤和连朴饮的基础上进行辨证论治,加减化裁。

基于真实世界数据分析的中医药治疗甲状腺结节的用药规律研究

目的基于真实世界数据挖掘技术分析中医药治疗甲状腺结节的用药规律。方法收集2018年8月—2023年8月就诊于青岛市中医医院甲乳外科的临床第一诊断为甲状腺结节患者的中药处方,运用中医传承辅助平台(V3.0)分析其用药规律。结果共筛选出治疗甲状腺结节的中药处方1206首,涉及中药291味;用药频次居于前5位的是浙贝母、夏枯草、柴胡、茯苓、半夏;药物功能类别以清热、补虚、化痰、活血、理气类为主;药性以寒为主,药味以苦、甘、辛为主,归经以肺、肝、脾经为主;关联规则分析得到17个高频药物组合,浙贝母-夏枯草药对出现频率最高;16条关联规则中,玄参→浙贝母、香附→柴胡置信度最高;聚类分析发现6个核心药物组合。结论中医临床治疗甲状腺结节以化痰散结、行气活血、益气养血为主要思路;常用浙贝母-夏枯草药对清热化痰散结,并以消瘰丸为基础方化痰软坚散结。

基于中医传承辅助平台与网络药理学探析《中华人民共和国药典》中含生石膏成方制剂的证治规律及作用机制

目的:研究2020年版《中华人民共和国药典》中含生石膏成方制剂的证治规律及作用机制。方法:将符合纳入、排除标准的成方制剂录入中医传承辅助平台,并基于中医传承辅助平台的频率统计、关联规则与聚类算法功能,探析含生石膏成方制剂的配伍原则、组方规律及新方组合,并提取核心用药;同时采用网络药理学方法,对证治规律研究中所筛选的主要中医疾病进行生石膏作用机制研究。结果:最终共纳入50条含生石膏成方制剂,涉及肺咳、肺炎喘嗽、感冒等中医疾病24种,痰热壅肺、肺经风热、热毒内盛等适宜证型22项,生石膏、甘草、黄芩、杏仁、麻黄等中药170味,同时提取“生石膏-甘草”“生石膏-黄芩”等核心药对4项,“生石膏-五味子-枳实-桔梗-桑白皮”等新方组合7条,以及“生石膏、麻黄、甘草、杏仁、黄芩、桔梗、陈皮”等核心用药6组;并筛选获得ALB、IL-1B、1L-6等“生石膏-主要中医疾病”交集靶点18个,以及肿瘤坏死因子(TNF)、白细胞介素-17(IL-17)、缺氧诱导因子-1(HIF-1)等主要信号通路3条。结论:2020年版《中华人民共和国药典》中含生石膏成方制剂主要以麻杏石甘汤为基础方化裁,其机制可能与生石膏抑制TNF、IL-17、HIF-1等信号通路,下调炎症反应过程,减少促炎因子释放有关。

基于数据挖掘探究中医药治疗冠心病合并高脂血症的用药规律

目的为了探索中医药治疗冠心病合并高脂血症新思路,研究分析总结中医药治疗冠心病合并高脂血症的用药规律。方法检索2022年6月1日前发表在PubMed,中国生物医学文献服务系统、维普、万方、中国知网数据库的文献,筛选冠心病合并高脂血症的中医药临床治疗文献且经过随机数对照实验验证明确有效者,使用中医传承辅助平台(V 3.0)对纳入的处方进行药物频次分析、关联分析、聚类分析等。结果研究纳入处方85首,中药148味;高频药物有丹参、山楂、茯苓等,常用药对有丹参-山楂、丹参-陈皮等,药物关联规则中茯苓,陈皮→丹参、山楂→丹参等的置信度较高,最终得到治疗冠心病合并高脂血症的核心药对11个、新候选处方5首。结论通过对高频药物、功效归类、新候选处方的分析,发现对于冠心病合并高脂血症的治疗,常使用活血化瘀药、补虚药、理气药及利水渗湿药相配伍,标本兼治,增强冠心病合并高脂血症的治疗效果,研究可为冠心病合并高脂血症的中医临床用药和新药研发提供理论支持。

基于国家专利中药复方治疗高血压病的用药规律研究

目的基于数据挖掘分析治疗高血压病中药复方专利的组方规律,为新药新方的研发提供参考。方法检索并录入国家知识产权局从建库至2023年4月复方治疗高血压病相关数据,使用中医传承辅助平台(V2.5)及IBM SPSS Modeler 18.0对符合纳入标准的复方专利进行药物频次、关联规则、熵聚类分析等。结果共纳入复方专利866则,涵盖941味中药。高频单味药有钩藤、夏枯草、丹参等;高频对药有夏枯草-钩藤、钩藤-天麻等;最常用角药为丹参-钩藤-天麻;关联规则分析钩藤与桑寄生、天麻、石决明、黄芩等药联系密切;熵聚类提取核心药物组合围绕“风、火、痰、瘀、虚”病理因素立法。结论分析结果体现了中医诊治高血压病以肝火论治为主,兼顾他脏,配合化痰活血、调补阴阳之法,治病求本,标本兼顾。

基于中医传承辅助平台探讨国医大师治疗癌因性疲乏用药规律

目的 探讨国医大师治疗癌因性疲乏的用药规律。方法 收集三大数据库(知网、万方、维普)、古今医案云平台、公开出版的中国医大师治疗癌因性疲乏的成功案例,筛选、整理处方数据后录入中医传承辅助平台(V2.5)分析用药规律。结果 共纳入15位国医大师的87则医案,涉及228味中药,药物四气分布以温热、寒凉为主,且二者比例相当;五味分布以甘、苦、辛为主;归经频次靠前的是脾、肝,肺、胃、肾、心稍居其后;使用频次最多的是补虚药,且以补气药为主,其次是清热药;使用频次前10的药物为黄芪、白术、炙甘草、茯苓、陈皮、白花蛇舌草、当归、女贞子、麦芽、党参,常用对药、角药有“黄芪-白术-茯苓”“陈皮-黄芪-白术”“白花蛇舌草-黄芪”“黄芪-当归”等;基于复杂系统熵聚类得到5组新方。结论 国医大师治疗癌因性疲乏区别传统虚劳疾病的治疗原则,从“虚-毒-瘀”的肿瘤病机出发,辛温补虚之药与苦寒解毒之药并用,巧配甘味药缓补机体,重视健脾疏肝,兼顾肺、肾、心三脏,以治气为题眼展开解题思路。

基于中医传承辅助平台与网络药理学探析治疗湿疹方药的用药规律及作用机制

目的通过挖掘治疗湿疹的中医方剂,并且借助网络药理学揭示核心药物群或最佳药对的有效成分,同时明晰这些成分与治疗湿疹相关靶点之间的相互作用,为治疗中医湿疹疾病提供科学依据。方法首先检索《中医方剂大辞典》中有关湿疹治疗的中医方剂,将方剂信息录入中医传承辅助平台系统(V2.5)中进行关联规则分析和高频组合分析,通过分析揭示在治疗湿疹过程中药物之间的互补关系和高频使用的药物组合。利用诸如TCMSP等数据库对高频药物中的药物进行成分分析,确定其中的有效活性成分,并解析其作用靶点。通过OMIM、GeneCards等数据库收集与湿疹相关的基因靶点信息,构建相关靶点数据库,然后用药物靶点和疾病靶点进行映射,使用Cytoscape 3.9.0软件创建“疾病-方药-靶标”网络图。进而运用STRING数据库对关键靶点进行PPI网络分析,揭示靶点之间的相互作用关系。最后,通过GO功能富集分析,了解湿疹相关靶点的功能分类,进一步揭示其在疾病发生和发展中的作用,再利用KEGG数据库进行信号通路富集分析,以确定湿疹相关靶点参与的生物通路,从而深入了解治疗机制。结果本研究收集了104首方剂,涵盖了181种中药。出现频次达到或超过10次的药物有20种,高频中药作用靶点361个,疾病作用靶点744个,两者共有作用靶点46个。PPI分析揭示,STAT1、MAPK1、AKT1等蛋白可能在治疗湿疹中发挥重要作用,这些蛋白质涉及20个细胞生物过程、12个细胞组分以及15个分子功能。通路富集分析揭示了11条富集的信号通路中包括AGE-RAGE信号通路、TNF信号通路、化学致癌-受体激活信号通路、B细胞受体信号通路、NF-κB信号通路、Fcγ受体介导的吞噬信号通路、趋化因子信号通路等。结论治疗湿疹的方剂以清热类药为主,尤其以清热燥湿药为主,辅以凉血药和利水渗湿药。治疗湿疹的药物具有多靶点、多途径、多作用的特点,可能通过影响血管生成、炎症因子、免疫调节等途径发挥治疗作用。

基于数据挖掘法探讨专利中药复方治疗强直性脊柱炎的组方规律

目的基于国家专利中药复方,探究中医药治疗强直性脊柱炎(AS)的用药及组方规律。方法收集建库至2024年5月中国专利公布公告网站上公开发布的关于中药复方治疗AS的专利,采用Excel 2010软件及中医传承辅助系统(V 2.5)对中药频次、性味归经进行统计,采用关联规则、复杂系统熵聚类进行分析及可视化处理,并对结果进行新方组合。结果共纳入符合专利复方194项,包含内外共用专利复方5项,排除中药复方中含有相同药物的处方后,获得有效中药复方149首,涉及中药531味。其中排名前20位的主要是当归、狗脊、甘草、杜仲、鸡血藤、怀牛膝、独活、白芍、威灵仙、桑寄生、熟地黄、续断、川芎、桂枝、黄芪、红花、羌活、土鳖虫、防风、丹参。药性多为温、寒、平性药,药味多为甘、苦、辛味药,归经多为肝、肾、脾经;应用关联规则分析,将支持度设置为20,置信度为0.6,共得到12组高频药物组合,包含中药10味(频次≥20),采用降序排列依次为“杜仲-狗脊、白芍-狗脊、杜仲-当归”等;并得到6个关系密切药物组合,降序依次排列为“白芍-狗脊”“续断-狗脊”“熟地黄-当归”等;采用无监督熵层次聚类算法分析,得到14组新方核心组合,在此基础上,共获得新方7个。结论专利中药复方治疗AS以补益肝肾、健脾祛湿、活血化瘀止痛为主,本研究分析了中药复方专利治疗AS的组方规律,对临床中治疗AS的遣方用药和新药开发提供一定参考。

基于中医传承辅助平台分析肺结节方药规律

目的:挖掘肺结节的中医证候与用药特点,为肺结节的中医治疗提供诊疗思路。方法:收集中国知网(CNKI)、万方数据库(Wanfang)、维普数据库(VIP)、中国生物医学文献数据库(SinoMed)、PubMed等数据库自建库到2022年12月肺结节相关的中医证候和中医处方,筛选并用Excel软件和中医传承辅助平台(V2.5)建立证候和方剂数据库进行统计分析,挖掘中医证型规律、药物频次,提取内在核心组合和新方组合。结果:纳入文献145篇,筛选出中医证型93种,中医验方211首,中药268味,其中频次≥80的证型有14种。肺结节常见证候以痰瘀互结证为主,病性证素以气虚、痰、气滞、血瘀、阴虚为主;病位证素以肺、脾、肝为主。使用的药物类别以补虚药、清热药、化痰止咳平喘药、利水渗湿药和活血化瘀药为主。常用的高频次中药有16味,前3味是甘草、茯苓、浙贝母。挖掘出药物内在核心组合16个,如党参-金荞麦-玄参、紫菀-款冬花-麻黄等;得到新方组合8组,如党参-金荞麦-玄参-牡蛎-浙贝母、紫菀-款冬花-麻黄-枇杷叶-土茯苓。结论:肺结节以脏腑辨证为主,证型多为虚实夹杂,治疗上多运用补益扶正、化痰散结、软坚散结、清热解毒散结、活血化瘀的药物,这对肺结节的诊治有一定的参考作用,但仍需进一步的临床及基础研究验证。

基于数据挖掘探析广东省名中医洪敏教授治疗失眠用药规律

[目的]探讨广东省名中医洪敏教授治疗失眠的用药规律。[方法]收集整理洪敏教授临床治疗失眠的处方,使用中医传承辅助平台,对处方的用药频次、四气五味归经以及组方规律、潜在新方等进行数据挖掘和分析。[结果]收集筛选出方剂共509条,中药共180味,使用频次前5位的中药依次为炒酸枣仁、法半夏、炙甘草、茯苓、黄芩,高频药物组合有法半夏-炒酸枣仁、炙甘草-法半夏、法半夏-茯苓、炙甘草-炒酸枣仁、茯苓-炒酸枣仁、法半夏-黄芩、陈皮-茯苓等,并得到7个潜在新方组合。[结论]洪敏教授治疗失眠用药以疏肝安神、清热燥湿、健脾化痰为主,临床中注重五运六气思想结合六经辨证理论,并善于灵活运用脏腑补泻理论,多脏并调,注重结合体质、运气、病机,司人、司天、司病,综合调治,使阴阳调和,失眠得愈。

中医眼科古籍中内障眼病方剂遣方用药规律研究

目的:分析中医眼科古籍中治疗内障眼病方剂的遣方用药规律。方法:从7部历代主要中医眼科古籍中筛选出治疗内障眼病的方剂并建立数据库,导入中医传承计算平台(V3.0),运用频次统计分析、四气五味分布统计、基于关联规则的组方规律分析及聚类分析等数据挖掘方法,探索古籍中治疗内障眼病的组方用药规律和辨治经验。结果:共收集322首方剂,涉及用药187味,总使用频次2867次,频率≥40次的单味药有22味,药类以补虚药、清热药、解表药为主,药味多甘味,其次为苦味、辛味,归经主要为肝经,四气统计以寒性药最多,温性药次之,统计出核心药物组合48组,聚类分析得到核心处方7个。结论:本研究充分挖掘了主要中医眼科古籍中治疗内障眼病的遣方用药规律,对今后的临床用药具有参考价值。

基于中医传承辅助平台探析李东垣治疗头痛用药规律

目的 探析李东垣治疗头痛的用药规律。方法 收集《李东垣医学全书》中治疗头痛的方剂作为数据来源,将收集到的处方录入中医传承辅助平台V3.0。结果 录入处方23首,药物共计52味,用药频次总计221次。使用频次大于5次的药物有20味;从药性分析来看,温性和寒性居多;药味方面以辛、苦、甘居多;药物归属脏腑主要以肺脾胃肝心居多;药物功效以解表药、补虚药和清热药为主;所有方剂聚为3类,得到核心药物组合3个。结论 李东垣治疗头痛主要以甘温之剂来补益脾胃、善用辛味风药以及重视升发脾胃阳气。李东垣治疗头痛的理论以及所提取的核心药物组合为中医药干预头痛以及未来开发新药能够更好的治疗头痛提供了依据。