基于数据挖掘对治疗口疮的成方制剂的用药规律分析*
作者:
作者单位:

(1. 广州中医药大学第一临床医学院,广东 广州 510405;2. 广州中医药大学第一附属医院,广东 广州 510405)

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R276.8

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收稿日期: 2019 - 09- 27
* 基金项目: 国家自然科学基金青年科学基金项目(81202699);广州中医药大学第一附属医院院内专科制剂研制项目(2017ZJ04)
第一作者简介: 陈楚敏(1993-),女,在读硕士研究生,研究方向:中医药防治皮肤疾病。
△通信作者: 眭道顺,E-mail:sdaos @126.com


Analysis of Medication rules of Prescriptions for the Treatment of Aphthous Ulcers Based on Data Mining
Author:
Affiliation:

(1.The First Clinical School of Guangzhou University of Traditional Chinese Medicine, Guangzhou 510405,China;2.The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine,Guangzhou 510405,China)

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    摘要:

    目的分析治疗口疮的成方制剂的剂型、功能主治、组方用药规律及核心组合,为临床治疗口疮的辨证用药及新药研发提供参考。方法 收集《中华人民共和国卫生部药品标准·中药成方制剂》(以下简称《中药成方制剂》)、《中华人民共和国药典:2015年版》(以下简称2015年版《中国药典》)中治疗口疮的成方制剂的名称、处方、剂型、功能与主治,录入Microsoft Excel及中医传承辅助平台(V2.5),统计用药频次;运用Apriori算法及关联规则对处方核心组合进行统计分析(支持度为10%,置信度100%);采用熵聚类算法统计2-3个不同成分间的关联系数(支持度为8,惩罚度为2);根据无监督的熵层次聚类法提取内在核心组合和新方组合。结果 挖掘得出86种成方制剂及其处方,以丸剂、散剂、片剂等多见,包含药物148味,使用频次较高为冰片、甘草、大黄、黄芩等,药物四气五味以苦寒为主,主要归肺胃心脾经,治疗证型较多为热毒炽盛证、热毒攻喉证等,常用核心配伍包括“黄芩-大黄”“黄连-甘草”等,挖掘得出新方组合“珍珠-川贝母-灯心草-天花粉-没药”等4首。结论 利用数据挖掘分析治疗口疮的成方制剂的组方规律,由核心药物组合成新方,可为临床辨证使用及研发治疗口疮成方制剂、新药提供依据和参考。

    Abstract:

    Objective To analyze the dosage form, functional indications, prescriptions and core combinations of the prescriptions for the treatment of aphthous ulcers, and to provide reference for the clinical research and treatment of the syndrome differentiation of mouth sores and the development of new drugs for prescription preparations. Methods To collect the treatment of aphthous ulcers in the“Pharmaceutical Standards of the Ministry of Health of the People’s Republic of China, Chinese Medicine Formulations”(hereinafter referred to as “Chinese Medicine Formulations”) and “Pharmacopoeia of the People’s Republic of China: 2015 Edition”(hereinafter referred to as the“Chinese Pharmacopoeia” in 2015) The name, prescription, dosage form, function and indication of the prescription preparation were entered into Microsoft Excel and Chinese Medicine Heritage Supporting Platform (V2.5), and the frequency of drug use was statistically analyzed. The Apriori algorithm and association rules were used to analyze the core composition of the prescription (support degree is 10%, confidence 100%); The Apriori algorithm and association rules were used to analyze the core composition of the prescription (support degree is 10%, confidence is 100%); the entropy clustering algorithm is used to calculate the correlation coefficient between 2-3 different components(support degree is 8, penalty degree is 2); The intrinsic core combination and the new party combination are extracted according to the unsupervised entropy hierarchical clustering method. Results Excavated 86 kinds of prescription preparations and their prescriptions, including pills, powders, tablets, etc., including 148 flavors of drugs, the frequency of use is higher for borneol, licorice, rhubarb, jaundice, etc. Mainly due to the heart, stomach and spleen, the treatment syndromes are more hot toxic stagnation syndrome, heat poisoning throat syndrome, etc. Common core compatibility includes “Huangqi-Dahuang” and “Huanglian-licorice”, etc. “Pearl-Chuan Fritillaria-rush-Tianhua powder-myrrh” and so on. Conclusion Using data mining to analyze the prescriptions of prescriptions for the treatment of aphthous ulcers, the core drugs are combined into a new prescription, which can provide basis and reference for clinical syndrome differentiation and research and development of treatment of aphthous prescriptions and new drugs.

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