| 杜若芳,曹阳,高磊,等.基于数据挖掘探索王沛教授治疗肺癌的处方用药规律[J].安徽医药,2025,29(9):1863-1868. |
| 基于数据挖掘探索王沛教授治疗肺癌的处方用药规律 |
| Exploration of professor Wang Pei's prescription patterns for treating lung cancer based on data mining |
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| DOI：10.3969/j.issn.1009-6469.2025.09.035 |
| 中文关键词: 肺肿瘤 生半夏 数据挖掘 用药规律 王沛 |
| 英文关键词: Lung neoplasms Raw Pinellia ternata Data mining Prescription patterns Wang Pei |
| 基金项目:国家自然科学基金面上项目( 82174458)；北京中医药大学重点攻关项目( 2020-JYB-ZDGG-127) |
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| 中文摘要: |
| 目的基于数据挖掘技术探索王沛教授治疗肺癌的处方用药规律。方法数据源自 2012年 1月至 2018年 1月北京中医药大学东方医院肿瘤科王沛教授结合生半夏治疗肺癌的门诊病历及处方建立数据库，应用 Microsoft Excel、IBM SPSS Model-er 18.0、IBM SPSS Statistics 26.0软件进行药物使用量、使用频次、性味归经及功效类别统计、关联规则分析、聚类分析，对用药规律及组方原则进行归纳。结果共计纳入处方 2 445首，平均单剂生半夏使用量 15.72 g，涉及高频中药 26味，使用频次位居前 10位的分别为生半夏、北沙参、麦冬、天冬、五味子、白花蛇舌草、丹参、胆南星、补骨脂、猪苓。药性以寒、温为主；药味以苦、甘、辛为主；归经以肺经、脾经、肝经为主，其次为肾经、心经、胃经。中药功效类别以补虚药、化痰止咳平喘药及清热药频率最高。有较强相关性的药对是“生半夏 -麦冬”等。用药频数 ≥300的前 26位高频中药形成 5个聚类处方“生半夏 -天冬”其中核心组方为:麦冬、天冬、北沙参、五味子、生半夏、白花蛇舌草。结论王沛教授在肺癌治疗中重视半夏生品的适当超量应用，采取减毒增效的方法确保安全性。坚持化痰祛瘀，益气养阴的用药原则，在麦门冬汤合生脉饮的基础上随症加减。重视脏腑辨证，以肺为主，兼顾脾胃，通调五脏。 |
| 英文摘要: |
| Objective To explore the prescription patterns of Professor Wang Pei in treating lung cancer based on data mining tech-nology.Methods Medical records and Chinese herbal prescriptions of lung cancer treatments involving raw Pinellia ternata by Profes-sor Wang Pei were collected in Department of Oncology, Dongfang Hospital, Beijing University of Chinese Medicine from January 2012to January 2018 to build a database. Microsoft Excel, IBM SPSS Modeler 18.0, and IBM SPSS Statistics 26.0 software were used for sta-tistical analysis of drug usage, frequency, properties, meridian tropism, and efficacy categories, as well as for association rule analysisand cluster analysis, with a view to summarize the prescription patterns and principles of formula composition.Results A total of 2, 445 prescriptions were included in this study, with an average single dose of raw Pinellia ternata being 15.72 g. Twenty-six high-fre-quency Chinese herbs were involved, with the top ten in usage frequency being raw Pinellia ternata, Glehniae Radix (Beishashen), Ophi-opogonis Radix (Maidong), Asparagi Radix (Tiandong), Schisandra chinensis (Wuweizi), Hedyotis diffusa (Baihuasheshecao), Salvia miltiorrhiza (Danshen), Arisaema cum Bile (Dannanxing), Psoralea corylifolia (Buguzhi), and Polyporus (Zhuling). The properties of theherbs were mainly cold and warm; the flavors were primarily bitter, sweet, and pungent; and the meridian tropism was mainly lung,spleen, and liver meridians, followed by kidney, heart, and stomach meridians. The most frequent efficacy categories of traditional Chi-nese medicine were tonifying deficiency, reducing phlegm and relieving cough to relieve asthma, and clearing heat. There was a strongcorrelation between the pairs "raw Pinellia ternata-Ophiopogonis Radix" and "raw Pinellia ternata-Asparagi Radix". The top 26 high-frequency Chinese herbs with a usage frequency ≥300 formed five clustered prescriptions, with the core formula consisting of Ophiopog-onis Radix, Asparagi Radix, Glehniae Radix, Schisandra chinensis, raw Pinellia ternata, and Hedyotis diffusa.Conclusions Professor Wang Pei emphasizes the appropriately excess use of raw Pinellia ternata for the treatment of lung cancer, adopting the methods of re-ducing toxicity while enhancing efficacy to ensure safety. He adheres to the principles of reducing phlegm and removing stasis, benefit-ing qi and nourishing yin, and modifies the Mai Men Dong Decoction combined with Sheng Mai Yin based on symptoms. He pays atten-tion to the differentiation of visceral syndrome differentiation, focusing on the lungs while considering the spleen and stomach, and coor-dinating the five internal organs. |
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