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1.北京中医药大学第一临床医学院,北京 100700
2.中国中医科学院西苑医院信息科,北京 100091
3.北京中医药大学东直门医院血液肿瘤科,北京 100700
司匡中,男,26岁,硕士研究生。研究方向:中西医结合防治胃癌。
侯丽,E-mail: houli1203@126.com
纸质出版日期:2024-10-25,
收稿日期:2024-01-30,
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司匡中,南梦蝶,杜笑丰,等.接受中医药治疗的12 593例次胃癌患者的画像研究[J].北京中医药,2024,43(10):1110-1115.
SI Kuangzhong,NAN Mengdie,DU Xiaofeng,et al.Portrait analysis of 12 593 gastric cancer patients treated with traditional Chinese medicine[J]. Beijing Journal of Traditional Chinese Medicine,2024,43(10):1110-1115.
司匡中,南梦蝶,杜笑丰,等.接受中医药治疗的12 593例次胃癌患者的画像研究[J].北京中医药,2024,43(10):1110-1115. DOI: 10.16025/j.1674-1307.2024.10.007.
SI Kuangzhong,NAN Mengdie,DU Xiaofeng,et al.Portrait analysis of 12 593 gastric cancer patients treated with traditional Chinese medicine[J]. Beijing Journal of Traditional Chinese Medicine,2024,43(10):1110-1115. DOI: 10.16025/j.1674-1307.2024.10.007.
目的
2
通过画像技术分析12 593例次接受中医药治疗胃癌患者的人口学特征、中医证型和用药规律,初步构建胃癌患者画像。
方法
2
检索北京中医药大学东直门医院和中国中医科学院西苑医院信息数据库,筛选2019年1月1日—2022年12月31日就诊的胃癌患者数据,收集性别、年龄、中医证型、中药方剂等资料,采用Python 3.12.0、R 4.2.3、Cytoscape 3.10.0等对胃癌患者进行特征分析,挖掘用药组方规律,通过词云、关联网络图等形式综合呈现不同画像特征。
结果
2
根据性别、年龄、中医证型、核心用药等特征,通过画像聚类分析,将12 593例次胃癌患者划分为4组,其中1组2 001例次,主要证型为肝气犯胃证(58.6%);2组3 461例次、3组5 554例次,证型均以痰湿凝结证、肝气犯胃证为主;4组1 577例次,其中痰湿凝结真证占33.5%、气滞血瘀证占28.7%。处方中高频药物包括白术、茯苓、炙/黄芪、党参、陈皮、当归、炙/甘草、鸡内金、半夏、砂仁等,其中四气总频次475次,以寒(36.2%)、温(32.0%)、平(21.7%)为主;五味总频次685次,以苦(33.7%)、甘(29.6%)、辛(24.8%)为主;归经总频次653次,依次为胃经(20.9%)、肾经(17.3%)、肝经(13.5%)、脾经(12.7%),各组高频药物和性味归经特征基本一致。画像1、2、3、4组关联规则分别为75、15、26、26条,结合树形图及热点图结果,分组筛选后共得到核心处方5个。
结论
2
利用画像技术,可初步将12 593例次接受中医药治疗胃癌患者划分为4组人群,分别反映了其中医证型和用药组方规律。
Objective
2
To analyze the demographic characteristics, traditional Chinese medicine(TCM)syndromes,and medication patterns of 12 593 gastric cancer patients treated with TCM using portrait technology,and to preliminarily establish patient profiles for gastric cancer.
Methods
2
Data from gastric cancer patients treated at Dongzhimen Hospital of Beijing University of Chinese Medicine and Xiyuan Hospital of China Academy of Chinese Medical Sciences from January 1,2019,to December 31,2022,were retrieved from the institutional databases. Information on gender,age,TCM syndrome types,and Chinese medicine formulas was collected.Feature analysis of gastric cancer patients was performed using Python 3.12.0,R 4.2.3,Cytoscape 3.10.0,etc.,to explore medication pattern rules and present different profile characteristics through word clouds,association network graphs,and other forms.
Results
2
Based on characteristics such as gender,age,TCM syndrome,and core medications,12 593 gastric cancer patients were grouped into 4 clusters based on portrait cluster analysis.The first group consisted of 2 001 cases,with the predominant syndrome type being liver qi invading the stomach (58.6%).The second group had 3 461 cases,and the third group had 5 554 cases,both mainly presenting with phlegm-dampness accumulation syndrome and liver qi invading the stomach syndrome.The fourth group had 1 577 cases,with phlegm-dampness accumulation syndrome accounting for 33.5% and qi stagnation and blood stasis syndrome accounting for 28.7%.High-frequency drugs in the prescriptions included Atractylodis Macrocephalae Rhizoma,Poria,Astragali Radix Praeparata cum Melle/Astragali Radix,Codonopsis Radix,Citri Reticulatae Pericarpium,Angelicae Sinensis Radix,Glycyrrhizae Radix et Rhizoma Praeparata cum Melle/Glycyrrhizae Radix et Rhizoma,Galli Gigerii Endothelium Corneum,Pinelliae Rhizoma,and Amomi Fructus.The total frequency of the four qi categories was 475 times,with cold(36.2%),warm(32.0%),and neutral(21.7%)as the main types.The total frequency of the five flavors was 685 times,with bitter(33.7%),sweet(29.6%),and pungent(24.8%)as the primary tastes.The total frequency of meridian tropisms was 653 times,with the stomach meridian(20.9%),kidney meridian (17.3%),liver meridian (13.5%),and spleen meridian(12.7%)being the most common.High-frequency drugs and their characteristics related to flavors and meridians were consistent across the groups.The association rules for Groups 1,2,3,and 4 were 75,15,26,and 26,respectively.After group screening based on hierarchical tree and heat map results, five core prescriptions were identified.
Conclusion
2
Using portrait technology,12 593 gastric cancer patients treated with TCM were preliminarily categorized into four groups,reflecting their TCM syndromes and medication patterns.
画像胃癌中医药用药规律数据挖掘
portraitgastric cancertraditional Chinese medicinemedication rulesdata mining
SUNG H,FERLAY J, SIEGEL RL, et al. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2021,71(3):209-249.
ZHENG R, ZHANG S, ZENG H, et al. Cancer incidence and mortality in China, 2016[J]. J Natl Cancer Cent, 2022,2(1):1-9.
王婧,郭珊珊,侯丽,等.新加良附颗粒配合化疗治疗进展期胃癌临床研究[J].北京中医药大学学报,2017,40(7):593-598.
宋美琦,陈烨,张瑞.用户画像研究述评[J].情报科学,2019,37(4):171-177.
中华人民共和国国家卫生健康委员会医政医管局.胃癌诊疗指南(2022年版)[J].中华消化外科杂志,2022,21(9):1137-1164.
国家技术监督局.中医临床诊疗术语证候部分:GBT16751.2-1997[S].北京:中国标准出版社,1997:68-70.
国家中医药管理局.中医病证诊断疗效标准:ZY/T001.1~001.9-94[S].南京:南京大学出版社,1994:189-190.
林洪生.恶性肿瘤中医诊疗指南[M].北京:人民卫生出版社,2014:722-795.
ARTHUR D, VASSILVITSKII S. k-means++: The advantages of careful seeding[R]. Stanford, 2006.
NIELSEN F. Introduction to HPC with MPI for data science[M]. Springer, 2016:195-211.
TIBSHIRANI R, WALTHER G, HASTIE T. Estimating the number of clusters in a data set via the gap statistic[J]. J R Stat Soc Series B Stat Methodol, 2001,63(2):411-423.
ROUSSEEUW PJ. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis[J]. J Computat Appl Math, 1987,20:53-65.
ZHENG Z, KOHAVI R, MASON L. Real world performance of association rule algorithms[C]. Long Beach,CA: Proceedings of the seventh ACM SIGKDD international conference on knowledge discovery and data mining,2001.
许海柱,张婷,孙建立.关联规则数据挖掘方法在中医药研究中应用进展[J].辽宁中医药大学学报,2013,15(12):131-134.
但文超,赵国桢,何庆勇,等.中医药处方数据挖掘的常见问题辨析与展望[J].中国中药杂志,2023,48(17):4812-4818.
胡雪晴,赵京霞,王燕,等.基于数据挖掘技术的中药复方治疗银屑病用药规律研究[J].北京中医药,2023,42(2):223-227.
张锦楠,李友山,陈宇欢,等.基于Python语言分析《外科正宗》中中医内治法的用药规律[J].北京中医药,2023,42(6):696-699.
刘海鸥,孙晶晶,苏妍嫄,等.国内外用户画像研究综述[J].情报理论与实践,2018,41(11):155-160.
吴朝旭,侯丽,李潇,等.接受二线及后续治疗的晚期胃癌患者中医、西医临床特征分析[J].北京中医药,2023,42(3):333-337.
俞根华,姚强,张海兵,等.益气健脾方联合替吉奥一线治疗老年晚期胃癌41例[J].北京中医药,2018,37(4):318-320,323.
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