THE 22ND NATIONAL CONGRESS OF THE MEMBER REPRESENTATIVES OF THE CHINESE MEDICAL ASSOCIATION

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Call for Papers International Symposium on Toxicology Jointly Sponsored by the China Preventive Medical Association and the Chinese Pharmacological Society

The scientific program will consist of symposia and poster sessions. Topics related to theoretical and applied research in the domain of toxicology and toxicological studies on chemicals of public concern will be welcome. The presenter’s name, address, and telephone and FAX numbers should be submitted along with the title of the presentation and whether it is oral or poster. Deadline: April 15, 1990. Papers should be submitted to:

Announcement on Raising Exhibition Items About History of Chinese Medical Association

The Chinese Medical Association (CMA) is the largest national-level medical and academic organization in China. Established in 1915, as a non-profit and academic organization voluntarily formed by Chinese science and technology medical professionals, the CMA is an important social force in the development of medical science and technology and healthcare courses in China. After a hundred years of development, the CMA now has 88 specialty societies, 677,000 members and 478 professional sub-society groups. The CMA has joined 42 international or regional medical organizations, and keeps close cooperation with medical associations of every province, autonomous region, municipality and deputy-provincial level city. The CMA publishes 186 paper and electronic medical journals, and hosts nearly 200 international and national high-level medical academic conferences every year.

The Chinese Medical Association celebrates its 90th founding anniversary

The Chinese Medical association (CMA) celebrated its 90th founding anniversary from April 12 to 14, 2005. The 23rd Congress of the CMA was held at the same time. Five hundred and sixty CMA member representatives from the mainland of China and 122 guests from Hong Kong, Macao, Taiwan Province and other countries attended the celebration. In addition, 89 specially invited persons presented at the congress. Also at the jubilee were some officers including vice Minister of the Ministry of Civil Affairs Jiang Li, Director of the State Durg and Food Administration Zheng Xiao-yu, vice Ministers of the Ministry of Public Health Wang Long-de, Jiang Zuo-jun, Yu Jing, Huang Jie-fu, Zhang Feng-lou, and Chen Xiao-hong, and the Honorary Chairman Wu Jie-ping.

International collaboration to promote global health:The 2017 Belt and Road Initiative Global Health International Congress&2017 Chinese Preventive Medicine Association--Chinese Society on Global Health Annual Meeting

With the rapid development of new technologies and global trade and increasing collaboration am ong countries worldwide,public health has become a global issue.Global health,as a new discipline,has been drawing more attention from both academ ia and governments.The Belt and Road Initiative(BRI),proposed by China in 2013,aimed to prom ote trade and resource exchange,including education,research,and health issues,with over 60 countries in Asia,Africa,and Europe.The BRI provides good opportunities for involved countries to address health problems jointly as well.In response to the BRI and to promote international collaboration on global health issues,"The 2017 Belt and Road Initiative Global Health International Congress&2017 Chinese Preventive M edicine Association-Chinese Society on Global Health Annual Meeting"was held on Septem ber 24-27,2017 in Xi’an,China.Thus far,this is the largest high-quality international conference held in China that focused on the BRI global health issues.This article summarized the background,key sessions and topics covered during the congress,and important events,and highlights different perspectives of the BRI and global health by invited experts from China and abroad.The conference included 14 sessions(three keynote speech forums and ten scientific sessions and a research poster session)and about 100 speakers,around 40 of which were leading experts outside of China.All the major sessions were held in English.More than 40 leaders and experts of health sectors from 13 countries presented their work in the congress.Approximately 400 delegates from 29 countries attended the congress.Delegates had extensive discussions about global health related issues,future cooperation and development in global health.The congress fostered international exchange and collaboration.

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.

Study on medication regularity of traditional Chinese medicine cases in treatment of neoplastic fever based on data mining

Objective:To analyze the medication regularity of traditional Chinese medicine cases in treatment of neoplastic fever in order to guide clinical medication.Methods:The database of China National Knowledge Infrastructure,Vip database and WanFang medical network were searched.The cases involving traditional Chinese medicine prescription in the treatment of neoplastic fever were screened.After extracting the prescriptions and Chinese medicines,make statistics according to frequency analysis,cluster analysis and association analysis.Results:79 literatures were included which involving 123 decoctions.221 traditionalChinese medicines were included in the statistics,the most frequently used traditional Chinese medicines were Gancao,Chaihu,Huangqi and Shengdihuang.The proportion of heat-clearing drugs in Chinese medicines was the largest(23.98%).The most common property of the Chinese medicines is cold property,accounting for 51.13%.The higher frequencies of flavors of the Chinese medicines are bitter,sweet and acrid,the sum of which is 84.66%.The most common meridian of Chinese medicines is liver meridian,accounting for 19.82%.The cluster analysis and association analysis of high frequency Chinese medicines showed that high frequency Chinese medicines could form three clustering formulas,and could get 18 pairs of high frequency drug combinations.Conclusion:Traditional Chinese medicines for heat-clearing,deficiencytonifying,phlegm-resolving,blood stasis-dispeling are mostly used to the treatment of neoplastic fever.The results of cluster analysis and association analysis of high frequency traditional Chinese medicines can provide certain reference and guidance for clinical medication.

Analysis of novel coronavirus pneumonia treatment with Chinese herbal compound

Objective: To analyze the prescription law of TCM compound in the treatment of new coronavirus pneumonia, and provides reference for the clinical treatment of new coronavirus pneumonia. Methods: Collected Collected 24 novel coronavirus pneumonia related diagnostic and therapeutic plans issued by the National Health Council and the Chinese medicine authority from January 26, 2020 to March 8th ,the filtered solution involved in the formula, establishing database of traditional Chinese medicine compound prescription for the treatment of new crown pneumonia, the frequency of using frequency analysis methods of analysis and clustering analysis and association rules analysis to sort out data mining analysis of traditional Chinese medicine compound. Results: In this study, a total of 159 TCM compounds were included in the treatment of new crown pneumonia from the country and 23 provinces, municipalities and autonomous regions, involving 189 TCM compounds. A total of 62 high-frequency traditional Chinese medicines (frequency ≥ 11) were obtained, mainly including licorice, almond, ephedra, gypsum, Poria cocos, Huoxiang, etc The drug types are mainly heat-clearing drugs, vacuous drugs, moisture-curing drugs, and surfactant drugs. The main effect of the medicine was warm, cold, lukewarm and flat, the main effect of the medicine was bitter and bitter, and the main effect of the medicine was the lung, stomach and spleen. Cluster analysis results according to the performance of traditional Chinese medicine treatment of new crown pneumonia high frequency drugs into 7 classes;Association rule analysis results in 29 common drug pairs. Conclusion: In the treatment of pneumonia caused by new coronavirus infection with traditional Chinese medicine, the following characteristics are presented: the number of times of supplementing qi and Yin is more than that of attacking evil and maintaining health;The method of dispersing and solving the attack of wet, beneficial, wet, permeable and wet medicine fully embodies a variety of ways to drive away evil;In terms of drugs, heat-clearing drugs, deficiency drugs, dampness drugs and surface drugs are the main ones, highlighting that the basic treatment method is to dissolve dampness and detoxify, and replenish qi and Yin. In summary, this study can provide reference for guiding clinical drug use and developing new drugs.

External Association Analysis of Famous Doctors' Dysmenorrhea Medical Cases Based on Data Mining

Objective:Dysmenorrhea is a common gynecological disease.Some severe symptoms affect the quality of life,causing physical and psychological discomfort.To analyze the dysmenorrhea cases of famous Senior traditional Chinese medicine(TCM)doctors and TCM masters through the data mining technology and explore core related rules between the symptoms,pathogenesis,coated tongue,pulse condition,so as to deeply deconstruct the law of TCM clinical differentiation and treatment of dysmenorrhea,verify the effectiveness of the law,and optimize the clinical TCM diagnosis and treatment scheme.Methods:The external correlation analysis of dysmenorrhea medical cases through the Medcase data processing platform and the algorithm of FP-Growth enhanced association analysis was applied.Results:Altogether 171 medical records were studied,which included 171 female patients and 483 clinical visits.The age of the oldest patient was 49,the age of the youngest was 14,the average age was 28 years old.The medical cases involoved 41 kinds of pathogenesis,147 clinical symptoms,16 types of pulse condition,84 types of coated tongue and 292 traditional Chinese medicine.The external correlation processing revealed that there were 25 groups of clinical symptoms and TCM association rules;17 groups of clinical symptoms and secondary TCM association rules;21 groups of pathogenesis and Chinese medicine association rules;34 rules of coated tongue and Chinese medicine association rules;19 rules of pulse condition and Chinese medicine association rules;28 rules of clinical symptoms and pathogenesis associations.Conclusion:When treating dysmenorrhea according to the differentiation and treatment of TCM,the viscera location of the core pathogenesis mainly are kidney,spleen and liver,the pathological factors focus on blood deficiency,blood stasis and qi stagnation.The highly-related TCM include Danggui(Radix Angelicae Sinensis),Baishao(Radix Paeoniae Alba),Chuanxiong(Rhizoma Ligustici),Yanhusuo(Rhizoma Corydalis),Xiangfu(Rhizoma Cyperi).The study of these rules has reference value for the acquisition of the core pathogenesis,the clinical differentiation and the medication.

Traditional Chinese medicine Master XIONG Jibo’s medication experience in treating arthralgia syndrome through data mining

Objective This study aimed to examine and propagate the medication experience and group formula of traditional Chinese medicine(TCM)Master XIONG Jibo in diagnosing and treat-ing arthralgia syndrome(AS)through data mining.Methods Data of outpatient cases of Professor XIONG Jibo were collected from January 1,2014 to December 31,2018,along with cases recorded in A Real Famous Traditional Chinese Medicine Doctor:XIONG Jibo's Clinical Medical Record 1,which was published in December 2019.The five variables collected from the patients’data were TCM diagnostic information,TCM and western medicine diagnoses,syndrome,treatment,and prescription.A database was established for the collected data with Excel.Using the Python environment,a custom-ized modified natural language processing(NLP)model for the diagnosis and treatment of AS by Professor XIONG Jibo was established to preprocess the data and to analyze the word cloud.Frequency analysis,association rule analysis,cluster analysis,and visual analysis of AS cases were performed based on the Traditional Chinese Medicine Inheritance Computing Platform(V3.0)and RStudio(V4.0.3).Results A total of 610 medical records of Professor XIONG Jibo were collected from the case database.A total of 103 medical records were included after data screening criteria,which comprised 187 times(45 kinds)of prescriptions and 1506 times(125 kinds)of Chinese herbs.The main related meridians were the liver,spleen,and kidney meridians.The properties of Chinese herbs used most were mainly warm,flat,and cold,while the flavors of herbs were mainly bitter,pungent,and sweet.The main patterns of AS included the damp heat,phlegm stasis,and neck arthralgia.The most commonly used herbs for AS were Chuanniuxi(Cyathu-lae Radix),Huangbo(Phellodendri Chinensis Cortex),Cangzhu(Atractylodis Rhizoma),Qinjiao(Gentianae Macrophyllae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangqi(Astragali Radix),and Chuanxiong(Chuanxiong Rhizoma).The most common effect of the herbs was“promoting blood circulation and removing blood stasis”,followed by“supple-menting deficiency(Qi supplementing,blood supplementing,and Yang supplementing)”,and“dispelling wind and dampness”.The data were analyzed with the support≥15%and con-fidence=100%,and after de-duplication,five second-order association rules,39 third-order association rules,39 fourth-order association rules,and two fifth-order association rules were identified.The top-ranking association rules of each were“Cangzhu(Atractylodis Rhizoma)→Huangbo(Phellodendri Chinensis Cortex)”“Cangzhu(Atractylodis Rhizoma)+Chuanniuxi(Cyathulae Radix)→Huangbo(Phellodendri Chinensis Cortex)”“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)→Qinjiao(Gentianae Macrophyllae Radix)”and“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)+Huangbo(Phello-dendri Chinensis Cortex)→Qinjiao(Gentianae Macrophyllae Radix)”,respectively.Five clusters were obtained using cluster analysis of the top 30 herbs.The herbs were mainly dry-ing dampness,supplementing Qi,and promoting blood circulation.The main prescriptions of AS were Ermiao San(二妙散),Gegen Jianghuang San(葛根姜黄散),and Huangqi Chongteng Yin(黄芪虫藤饮).The herbs of core prescription included Cangzhu(Atractylodis Rhizoma),Chuanniuxi(Cyathulae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangbo(Phellodendri Chinensis Cortex),Mugua(Chaenomelis Fructus),Qinjiao(Gentianae Macro-phyllae Radix),Danggui(Angelicae Sinensis Radix),and Yiyiren(Coicis Semen).Conclusion Clearing heat and dampness,relieving collaterals and pain,and invigorating Qi and blood are the most commonly used therapies for the treatment of AS by Professor XIONG Jibo.Additionally,customized NLP model could improve the efficiency of data mining in TCM.

Persist in and Carry Forward the Integrative Medical Research——Speech at the 6th National General Congress of Chinese Association of Integrative Medicine by Academician CHEN Zhu,Minister of Ministry of Health

The 6th National General Congress of Chinese Association of Integrative Medicine （CALM） was convened at 19-20, April 2008 in Beijing. Academician CHEN Zhu, the minister of Ministry of Health indicated at the congress that the integration of Chinese and Western medicine is very well in keeping with the situation of our country and the general rule of development in medical science; and as a good integration of Chinese medicine and Western medicine, it is mutually beneficial and advantageous to both of them. Seeing the creativity shown in integrative medical investigation in theoretic and methodological sides, we should and must persist in and develop it.

基于关联规则的中医药知识发现——以肺病医案为例

[目的/意义]中医医案作为重要的医疗资源含有大量的数据与信息,深度挖掘中医医案,围绕医案内容进行知识发现,有利于隐性知识的发掘,提高中医临床诊疗的效率与医疗服务的精准性。[方法/过程]以实地肺病医案为数据源,基于统计分析与关联规则的方法对中医医案内容进行挖掘,以咳嗽为主证为出发点,挖掘相关中医用药规律与临床症状以及症—药规律,探究关联规则分析在中医药知识发现方面的创新应用。[结果/结论]本地治疗咳嗽的高频药物包括炙甘草、杏仁、半夏、川贝母、茯苓、陈皮等,舌诊症状以苔薄白、苔薄黄、舌红、舌暗红、有齿印等为常见。基于Apriori算法的关联规则分析显示常见的药物配伍为丹参,桔梗—炙甘草、柴胡,桔梗—炙甘草、前胡,枳壳—桔梗等;舌诊症状以薄淡黄—舌暗红、有齿印—舌暗红、苔薄腻淡黄—有齿印等组合为强关联组合,苔薄淡黄—舌暗红症状组合的强关联药物有桔梗、炙甘草、丹参、白前等。咳嗽患者的类型有外感咳嗽与内伤咳嗽,涉及风热证、痰湿证、阴虚证、肺气虚证、痰热壅肺证等证型。

基于数据挖掘的中医药治疗原发性干燥综合征燥湿互结证的用药规律研究

目的:总结北京中医药大学东方医院风湿科研究团队治疗原发性干燥综合征燥湿互结证的用药规律。方法:筛选2018年1月至2022年12月原发性干燥综合征燥湿互结证患者的病历资料,使用Excel软件建立数据库并进行统计,采用Modeler 18.0软件进行关联规则和复杂网络分析,联合Cytoscape软件对结果进行可视化。采用SPSS 20.0软件进行聚类分析。结果:共纳入处方139首,涉及188味中药,使用频次≥25次的中药共34味。筛选出药物关联组合73条,复杂网络分析得到核心中药组合丹参-青蒿-石斛-白芍,共得到8个聚类组合。结论:原发性干燥综合征燥湿互结证临证用药以清化湿热、祛瘀生津为法,根据“湿”“热”“燥”“瘀”的不同程度加减化裁,为干燥综合征的临床用药提供思路及参考。

老龄文明的现代化意涵及其治理价值

从现代化进程中探讨与明晰老龄文明的概念内涵,具有层次递进且内容升华的双重结构。一是在现代化话语体系中发现并重新界定老龄文明,平衡现代化研究中长期以来的年轻化特征;二是以老龄文明超越单一的西方现代化思想,使学界对中华文明与中国特色社会主义的认识达到一种新的理论境界。遗憾的是,当今世界范围内一些老龄化较早的推进老龄文明仍面临困境,即支撑现代性的动力机制不足,具体表现在缺乏“时空转型”“脱域机制”与“彻底的反身性”。中国老龄文明的现代化意义重大,正在老龄社会新形态下走向中华文明的深处。它既具有国家治理的“韧性”属性,将重新梳理文明与国家之间的“关系本质”问题,强调在传统文化表征下国家如何于现代化进程中保持延续性;也具有社会治理的“团结”属性,将扭转既往应对老龄问题研究的“个体化”视角,指向现代化发展中的集体动员与代际共享。作为老龄人口数量世界第一、老龄化发展态势极为迅速,并将积极应对人口老龄化作为国家战略的发展中国家,在人类文明新形态中理解与建构老龄文明,正成为我国在现代化新征程中的新治理探索与新战略追求。

基于《中医方剂大辞典》的雷丸组方用药规律分析

目的 基于数据挖掘方法探究《中医方剂大辞典》中雷丸的组方用药规律。方法 以《中医方剂大辞典》为信息源,梳理含雷丸的方剂,构建雷丸方药数据库;采用文献分析和数据挖掘方法,探讨雷丸的增效减毒及其方剂主治病症类型、药物配伍情况;利用关联规则分析探寻其在常见病中的配伍特点;使用皮尔逊相关性分析发掘药-证的相关性,总结其用药规律。结果 含有雷丸方剂的剂型主要为丸剂和散剂,高频用药为槟榔、大黄、木香等,与雷丸配伍的主要为驱虫药、泻下药及理气药等,且味多为苦、辛,归胃经、脾经。其中“槟榔-雷丸”出现的药对配伍频数最高,其次是“大黄-雷丸”“木香-雷丸”;雷丸方剂的主治病症为虫积的频数最高,其次为疳证、积滞等。皮尔逊相关性分析结果表明,治疗虫积配伍槟榔、木香、使君子、芜荑、鹤虱等;治疗疳证配伍胡黄连、黄连、青皮等;治疗积滞配伍神曲、陈皮、牵牛子、三棱等。结论 雷丸与槟榔等配伍可加强杀虫消积的功效;与胡黄连、大黄等配伍可增加泻下攻积的作用,以上可能会引起轻微的胃肠道不良反应;与陈皮、神曲等配伍可保护胃黏膜,减轻胃肠不良反应。但雷丸毒性物质基础研究等未见报道,仍需深入研究,为雷丸临床应用提供更确切的基础。

基于数据挖掘技术探究中药复方治疗肝纤维化的用药规律

目的:运用数据挖掘技术研究中药复方治疗肝纤维化的用药规律,以期为肝纤维化临床治疗提供指导和参考。方法:以肝纤维化为主题,收集、整理中国知网、万方数据库、维普中文科技期刊数据库收录的文献为本研究数据来源,建立数据库,采用Excel 2019、SPSS Statistics 22.0和IBM SPSS Modeler 18.0软件进行频次分析、关联规则分析、因子分析和系统聚类分析,对符合本研究纳入标准的复方进行数据挖掘。结果:在符合纳入标准的134个中药复方中,涉及159味中药,总用药频次为1437次。使用频次≥10次的中药有31味,最常用的单味中药是丹参;四气以寒、温为主,五味以苦、甘、辛味居多,药物归经多归于肝经、脾经,用药频次分析提示排名前3位的药物类别为补虚药、活血化瘀药、清热药。关联规则分析表明,关联强度最高的药对组合有8组,因子分析提取11个公因子,系统聚类分析归为6大类,复杂网络分析得出核心处方为丹参、赤芍、鳖甲、黄芪、白术、白芍、柴胡、当归。结论:中医药治疗肝纤维化的基本治法为活血化瘀、理气扶正、清热利湿,核心处方对中医药治疗肝纤维化遣方用药具有借鉴意义。

基于数据挖掘中药复方专利治疗流行性感冒的用药规律

目的探索中国知网专利数据库中治疗流行性感冒的中药复方专利用药规律。方法检索自建库来至2024年3月25日中国知网专利数据库收录的治疗流行性感冒的中药复方,利用Microsoft Excel 2019软件分析符合筛选标准的复方中药的使用频次、性味归经等;运用SPSS Modeler 18.0软件Apriori算法对高频药物进行关联规则分析;运用SPSS 25.0软件对高频药物进行因子分析、聚类分析,筛选出核心药对和药物组合。结果共纳入中药复方451首,涉及685味中药,总用药频率4469次。使用频次最高的中药依次为金银花、炙甘草、连翘、黄芩、板蓝根、薄荷等;药性以寒为主,药味以苦为主,归经多归肺经;核心药物组合有金银花-连翘-炙甘草、连翘-牛蒡子-金银花等,得到了治疗流行性感冒的核心药对及常见药物组合。结论治疗流行性感冒的中药复方多用苦寒之品,治则以清热解毒为主,兼顾疏散风热、解表散寒、化湿醒脾、益气固表等治法,核心药对及药物组合的挖掘为更好地治疗流行性感冒及新药的研发提供了更广阔的思路。

COVID-19诊疗信息、中医证型分布及组方用药规律的文献研究

目的利用数据挖掘技术深入探究新型冠状病毒感染(COVID-19,简称新冠感染)患者的诊断、中医证型分布以及药物使用规律,以期为中医药治疗新冠感染提供有效的参考依据。方法通过搜索,可以获取来自国家卫生健康委员会和全国各地的《新型冠状病毒肺炎诊疗方案》内涉及的中医证型和中医药防治方案,以及中国生物医学文献服务系统、知网、维普、万方数据库收录的治疗新冠感染相关文献共249份。对文献通过筛选、整理和去重并建立中药复方数据库、诊疗信息数据库、证型数据库,运用频数分析、频率分析进行探究。结果新冠感染患者常见的症状频数较高的为咳嗽、咽干咽痛、发热、纳差、乏力;大多数患者呈淡红舌、红舌,脉象为滑脉、滑数脉;中医证型频数较高的有湿毒郁肺证、湿热蕴肺证、肺脾气虚证、寒湿郁肺证、气阴两伤证、兼夹瘀血证。此外,共纳入491首治疗新冠感染中药复方,涉及中药227味,得到高频中药共64个,药物类别以清热药、补益药、解表药、化痰止咳平喘药、化湿药为主;药性以温、平、寒为主,药味以甘、辛、苦为主,归经中归肺、脾、胃经中药居多;聚类分析结果根据中药性能将治疗新冠感染的高频药物聚为8类较好。结论中医药治疗新型冠状病毒感染用药具有以下特点:补益药用药次数较多体现攻邪不忘扶正;解表、清热、攻下、化湿、利湿、渗湿药物俱全体现多种逐邪之法;药类以清热药、补益药、化湿药、化痰止咳平喘药、解表药为主,彰显新冠感染基本治法为清热化湿、止咳平喘、补养气阴。可为指导临床用药及研发新药提供一定的参考与借鉴。

基于数据挖掘分析中成药治疗肺炎的用药规律

目的 探究中成药治疗肺炎的用药规律及组方特点。方法 收集并筛选《中国药典》《中国临床药物大辞典·中药成方制剂》《国家中成药标准汇编》以及《新编国家中成药》中记录的主要治疗肺炎的中成药处方。聚类分析处方组方用药规律、药物的使用频次、性味归经及功效。结果 共纳入118个中成药处方,包括了16种不同的中医证候,其中最常见的证型为痰热壅肺证。涉及220种中药,主要根据其功效分为清热、化痰止咳、平喘、补虚等不同类别。药性中,寒性最为常见,其次是温性和平性;药味以苦味和辛味为主,主要归属于肺经,其次是胃、脾和肝经。通过关联规则分析,得出了25组核心药物的组合。通过系统聚类分析,归类为8个不同的类别。结论 肺炎的核心中医证候主要为痰热闭肺证,其病机基础涉及痰、瘀、热和毒,病理基础在于肺气郁闭。因此,在治疗中,强调宣肺气、消痰瘀、清热毒、润肺阴等功效的综合运用。

基于数据挖掘的近30年活血化瘀药治疗肺纤维化的用药规律

目的:采用数据挖掘技术探讨活血化瘀中药(以下简称活血药)治疗肺纤维化(PF)的用药规律。方法:在8个在线数据库中检索1992年1月1日至2021年12月31日期间发表的临床研究证实有效的含活血药的方药治疗肺纤维化的文献,提取方药信息,采用SPSS Statistics 23和SPSS Modeler 18.0统计软件进行频次统计、聚类分析、因子分析和关联规则分析。结果:共纳入324篇文献,其中活血药丹参、当归、川芎、桃仁、地龙使用频次最高;其他类药物中补虚药使用频次最高。高频活血药聚类分析聚为4类为宜,因子分析提取到5个公因子。对活血药进行关联规则分析,得到关联规则6条;以活血药为前项,其他类药物为后项,得到关联规则16条。结论:在使用活血药治疗PF时,常采用养血、活血、破血、虫类搜剔等相结合的治法,多与补气药、补阴药、止咳化痰平喘药等配伍,补虚泻实以复其源。