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李仁廷治疗肺癌用药规律

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目的:分析李仁廷教授治疗肺癌的用药规律.方法:收集2020 年1 月1 日至2022 年12 月31 日就诊于李仁廷教授门诊的肺癌患者,并建立医案数据库,对数据规范化处理后进行高频药物筛选、中药药性统计及中药功效分类统计,并总结药物关联规则,对高频药物进行聚类分析.结果:共纳入160 例患者,中药处方688 张,药物使用频次≥100 次共有31 味中药.中药药性以温性最多;药味以甘味、苦味为主;功效以化痰止咳平喘药、补虚药、清热药为主.关联规则分析得到常用药对为麦芽-神曲-砂仁、砂仁-麦芽-茯苓-白术,聚类分析可将李仁廷教授门诊治疗肺癌的药物分为3 个核心组合.结论:李仁廷教授治疗肺癌,强调以分期论治、扶正抗癌为主要辨证思路,培土生金、金水相生并举,兼以化痰消瘀.
The Medication Patterns of Li Renting in the Treatment of Lung Cancer
Objective:To analyze the medication patterns of Professor Li Renting in the treatment of lung cancer.Methods:The lung canc-er patients who visited Professor Li Renting's clinic from January 1,2020 to December 31,2022 were collected to establish a medical re-cord database.After standardizing the data,high-frequency drug screening,Chinese medicinal properties statistics,and Chinese medici-nal efficacy classification statistics were performed.Drug association rules were summarized and a cluster analysis on high-frequency drugs was performed.Results:A total of 160 patients were included in the study,with 688 Chinese medicinal formulas and totaling 31 Chinese medicinals having a frequency of drug use≥100 times.The properties of Chinese medicinals are mostly warm.The medicinal taste is mainly sweet and bitter.The main effects are from phlegm-resolving,cough-stopping,asthma-relieving,deficiency-tonifying,and heat-clearing drugs.Association rule analysis revealed that the commonly used drug pairs were Maiya(Fructus Hordei Germinatus)-Shenqu(Massa Fermentata Medicinalis)-Sharen(Fructus Amomi),Sharen(Fructus Amomi)-Maiya(Fructus Hordei Germinatus)-Ful-ing(Poria)-Baizhu(Rhizoma Atractylodis Macrocephalae).Cluster analysis showed that Professor Li Renting's outpatient treatment of lung cancer drugs could be divided into three core combinations.Conclusion:Professor Li Renting's treatment of lung cancer emphasizes the main dialectical approach of staged treatment and strengthening the healthy to fight cancer.He not only banks up earth to benefit metal in order to generate both metal and water,but also resolves phlegm and removes blood stasis.

lung cancermedication patternsdata miningLi Renting

高孔雀、李仁廷、刘攀

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陕西中医药大学,陕西 咸阳 712046

陕西中医药附属医院,陕西 咸阳 712000

肺癌 用药规律 数据挖掘 李仁廷

陕西省中医药管理局科研课题项目陕西省名中医传承工作室建设项目

2019-71-JC0432019003

2024

河南中医
河南省中医药学会 河南中医学院

河南中医

影响因子:0.968
ISSN:1003-5028
年,卷(期):2024.44(8)
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