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国家专利中药复方改善肿瘤患者免疫功能的用药规律分析    

Analysis on the Medication Rule of National Patent Chinese Medicine Compound for Improvement of the Immune Function of Tumor Patients

文献类型:期刊文献

中文题名:国家专利中药复方改善肿瘤患者免疫功能的用药规律分析

英文题名:Analysis on the Medication Rule of National Patent Chinese Medicine Compound for Improvement of the Immune Function of Tumor Patients

作者:王鹏娟[1];薛国忠[1];张银芳[1];邵婷婷[2];王涵玉[2];宋鹏[1]

第一作者:王鹏娟

机构:[1]甘肃中医药大学附属医院,甘肃兰州730099;[2]甘肃中医药大学,甘肃兰州730000

第一机构:甘肃中医药大学第二附属医院

年份:2024

卷号:35

期号:12

起止页码:1912

中文期刊名:中药新药与临床药理

外文期刊名:Traditional Chinese Drug Research and Clinical Pharmacology

收录:CSTPCD;;北大核心:【北大核心2023】;CSCD:【CSCD2023_2024】;

基金:国家自然科学基金项目(82260859,81803779);甘肃省杰出青年基金项目(20JR10RA348);甘肃省陇原创新创业人才团队项目[甘组通字(2023)20号];甘肃省自然科学基金项目(22JR5RA611)。

语种:中文

中文关键词:国家专利;中药复方;肿瘤;免疫功能;用药规律;补虚药;活血化瘀药

外文关键词:National patent;Chinese medicine compound;tumor;immune function;medication rule;tonifying deficiency drugs;invigorating blood and resolving stasis drugs

摘要:目的分析国家专利中药复方改善肿瘤患者免疫功能的用药规律及组方特点。方法通过检索国家知识产权局的专利数据库,获取1993—2022年改善肿瘤患者免疫功能的中药复方专利数据。使用Microsoft Excel2016软件建立专利组方数据库,并对数据进行规范处理。运用IBM SPSS Modeler 18.0、Microsoft Excel 2016及IBM SPSS Statistics 26.0软件进行建模Apriori关联规则分析、药物频数统计及系统聚类分析。结果共纳入改善肿瘤患者免疫功能的中药复方专利107项,涉及中药339味,用药总频数994次。分析出高频(频数≥9次)中药22味,其中使用频数最高的中药为黄芪。对高频中药进行系统聚类分析,结果分为6类。对频数≥2次的中药进行关联规则分析后,得到高频药对“黄芪-人参”“黄芪-当归”等,置信度较高的角药组合为“白术-黄芪-当归”“甘草-黄芪-人参”“茯苓-枸杞子-当归”等。四气以寒、温、平为主,五味以苦、甘、辛为主,多归肝、脾、肾三经。中药类别以补虚药和活血化瘀药使用频率最高。结论国家专利中药复方改善肿瘤患者免疫功能以补虚药和活血化瘀药为主,符合其虚与瘀的病机特点,治疗具有标本同治的特点,符合中医药改善肿瘤患者免疫功能的理论基础。
Objective To analyze the medication rule and composition characteristics of national patent Chinese medicine compound for improving the immune function of tumor patients.Methods We obtained the patent data of Chinese medicine compound for improving the immune function of tumor patients from 1993 to 2022 by searching the patent database of the China National Intellectual Property Administration.Microsoft Excel 2016 was used to establish a prescription database and standardize the processing of data.IBM SPSS Modeler 18.0,Microsoft Excel 2016 and IBM SPSS Statistics 26.0 were used for Apriori association rule analysis,drug frequency statistics and system clustering analysis.Results A total of 107 patents for Chinese medicine compound for improving the immune function of tumor patients was included,involving 339 Chinese medicines,with a total medication frequency of 994 times.Twenty-two high-frequency(frequency≥9 times)Chinese herbal medicines were analyzed.The most frequently used Chinese herbal medicine is Astragali Radix.Systematic clustering analysis on high-frequency Chinese medicine was conducted,and the results are divided into six categories.After analyzing the association rules of Chinese medicine with a frequency of≥2,we obtained high-frequency drug pairs such as"Astragali Radix-Ginseng Radix et Rhizoma"and"Astragali Radix-Angelicae Sinensis Radix".The combination of triplet medicinals with high confidence was"Atractylodis Macrocephalae Rhizoma-Astragali Radix-Angelicae Sinensis Radix","Glycyrrhizae Radix et Rhizoma-Astragali Radix-Ginseng Radix et Rhizoma"and"Poria-Lycii Fructus-Angelicae Sinensis Radix",et al.The four properties are mainly cold,warm and calm,while the five flavors are mainly bitter,sweet and pungent.They mostly belong to the liver,spleen and kidney meridians.The most frequently used Chinese medicine are tonifying deficiency drugs and promoting blood circulation and resolving stasis drugs.Conclusion National patent Chinese medicine compound mainly improves the immune function of tumor patients by tonifying deficiency drugs and invigorating blood and resolving blood stasis drugs,which is in line with the pathogenesis characteristics of deficiency and blood stasis in traditional Chinese medicine.The treatment has the characteristic of treating both manifestation and root cause,and is in good agreement with the theoretical basis of traditional Chinese medicine in improving the immune function of tumor patients.

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