| 引用本文:江春春1，孙鼎2，苏晓1，沈丕安1.基于数据挖掘的沈丕安教授治疗干燥综合征用药规律[J].世界中医药,2022,(12):. |
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| 基于数据挖掘的沈丕安教授治疗干燥综合征用药规律 |
| Medication Regularity of Professor SHEN Pi-an in Treatment of Sjgren's Syndrome Based on Data Mining |
| 投稿时间：2020-07-20 |
| DOI：10.3969/j.issn.1673-7202.2022.12.021 |
| 中文关键词: 干燥综合征 数据挖掘 关联规则 聚类算法 @ 沈丕安 活血祛瘀药 补阴药 清热药 |
| English Keywords:Sjogren's syndrome Data mining Association analysis Clustering algorithm @ SHEN Pi'an Blood-activating and stasis-resolving drugs Yin-tonifying drugs Heat-clearing drugs |
| 基金项目:上海科学技术委员会生物医药领域项目（17401971000）；上海申康医院发展中心促进市级医院临床技能与临床创新能力三年行动计划——专科疾病临床“五新”转化项目（16CR3095B）；上海市科技计划项目（17401971500）；龙华医院第二批优秀青年人才临床能力提升计划（RC-2018-01-02）；2020年度上海中医药大学后备卓越中医人才项目 |
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| 中文摘要: |
| 目的：运用数据挖掘方法研究沈丕安教授治疗干燥综合征的用药规律。方法：对沈丕安教授治疗干燥综合征的门诊处方进行数据清理后，录入到“中医传承辅助平台系统”平台软件并进行分析，包括统计中药频次，经由关联规则和复杂系统熵聚类等数据挖掘算法，提取高频药物组合和新处方等，随后考察高频及代表性中药的使用指征。结果：沈丕安教授治疗干燥综合征的高频用药包括活血祛瘀药、补阴药和清热药等3大类，居使用频次前8位的分别是黄芩、生地黄、忍冬藤、秦皮、金雀根、牡丹皮、莪术和南沙参等，高频药物组合主要为“生地黄-忍冬藤-秦皮-黄芩”等。“生地黄-金雀根-牡丹皮”等10个核心组合和“青葙子-密蒙花-白芥子-紫菀”等6个新处方较好地反映了沈教授按“肾虚为本、瘀热为标”辨病论治干燥综合征，结合现代药理取舍药物和顾护肠胃，慎用香燥等用药规律。结论：采取数据挖掘法研究沈丕安教授治疗干燥综合征的用药规律，较以往统计学研究和传统医案整理方法所得结论更为全面，可以为传承和深入挖掘其经验提供新的参考。 |
| English Summary: |
| To investigate the medication regularity of Professor SHEN Pi-an in the treatment of Sjgren's syndrome based on data mining.Methods:The data of outpatient prescriptions against Sjgren's syndrome by SHEN Pi-an were summarized and input into the Traditional Chinese Medicine Inheritance Support System(TCMISS) for analysis，including the frequency of Chinese drugs.The combinations of high-frequency drugs，as well as novel prescriptions，were extracted by using data mining algorithms like association analysis and complex system entropy clustering.The indications of the high-frequency and representative Chinese drugs were examined.Results:The high-frequency drugs used by Professor SHEN Pi-an in the treatment of Sjgren's syndrome were categorized into three groups，i.e.，blood-activating and stasis-resolving drugs，yin-tonifying drugs，and heat-clearing drugs.The top 8 drugs included Scutellariae Radix，Rehmanniae Radix，Lonice Raejaponicae Caulis，Fraxini Cortex，Caraganae Sinicae Radix，Moutan Cortex，Curcumae Rhizoma，and Adenophorae Radix.The main combination of high-frequency was Rehmanniae Radix-Lonice Raejaponicae Caulis-Fraxini Cortex-Scutellariae Radix.The 10 core combinations such as “Rehmanniae Radix-Caraganae Sinicae Radix-Moutan Cortex” and six new prescriptions such as that consisting of “Celosiae Semen-Buddlejae Flos-Sinapis Albae Semen” well reflected the Professor SHEN Pi-an's treatment based on syndrome differentiation of Sjgren's syndrome that “kidney deficiency as the root cause and stagnated heat as the manifestation”.Considering drug selection and caring for intestines and stomach in modern pharmacology，aromatic and damp drugs were used with caution.Conclusion:The research on medication regularity of Professor SHEN Pi-an in the treatment of Sjgren's syndrome based on data mining can achieve more comprehensive results than previous statistical studies or traditional case studies，which can provide new references for inheritance and in-depth exploration of Professor SHEN Pi-an's experience. |
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