| 引用本文: | 刘保松,白明,苗明三.基于关联规则和因子分析研究糖尿病肾病中药组方用药规律[J].中国现代应用药学,2019,36(7):781-785. |
| LIU Baosong,BAI Ming,MIAO Mingsan.Medication Rules and Factor Analysis for Traditional Chinese Medicine Treating Diabetic Kidney Disease Based on Data Mining[J].Chin J Mod Appl Pharm(中国现代应用药学),2019,36(7):781-785. |
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| 摘要: |
| 目的 挖掘中医药治疗糖尿病肾病的组方用药规律。方法 以中国知网、万方医学网2012年1月-2018年6月收录的期刊文献为资料来源，使用Excel 2013、SPSS Modeler 14.1、SPSS Statistics 19.0统计软件为工具，对纳入标准的中药进行关联规则分析和因子分析。结果 在纳入标准的215首方剂中，使用频数≥ 30的高频药物共28种，其中黄芪（143次，66.5%），茯苓（113次，52.6%），丹参（97次，45.1%），山药（86次，40.0%），当归（73次，34.0%）最为常见。糖尿病肾病治疗的药物四气以寒（11次，39.2%）、平（10次，35.7%）为主，五味中甘味（23次，50.0%）为主，归经中肝经（16次，20.0%）、脾经（14次，17.5%）居多，使用最多的药物类别为补虚药（912次，39.3%），活血化瘀药（307次，13.2%），关联规则分析中发现关联强度最高的药对组合为12种，因子分析中提取6个公因子。结论 糖尿病肾病的治疗多以甘温药黄芪（补虚药）为主，临床上可与苦寒药丹参，甘平药茯苓等组合使用，以及可随证配伍活血化瘀、清热等药物。 |
| 关键词: 糖尿病肾病 用药规律 数据挖掘 中药组方 |
| DOI：10.13748/j.cnki.issn1007-7693.2019.07.002 |
| 分类号:R285.5 |
| 基金项目:"重大新药创制"国家科技重大专项（2017ZX09301071）；国家国际合作基地（国科外函[2016]65号） |
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| Medication Rules and Factor Analysis for Traditional Chinese Medicine Treating Diabetic Kidney Disease Based on Data Mining |
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LIU Baosong, BAI Ming, MIAO Mingsan
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Henan University of Chinese Medicine, Zhengzhou 450046, China
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| Abstract: |
| OBJECTIVE To analyze the medication rules of traditional Chinese medicine (TCM) for treating diabetic kidney disease (DKD). METHODS The article for TCM treatment for DKD in CNKI and Wanfang Med Online from January 2012 to June 2018 were searched. The data was entered into Excel 2013 to set up a database, the factor analysis and association rules were used to analyze core medication combinations by SPSS Statistics 19.0 and SPSS Modeler 14.1. RESULTS A total of 215 prescriptions were included. Totaled 28 Chinese medicines were used ≥ 30 times, the high frequency medicines were Astragali Radix, Poria cocos Wolf, Salvia miltiorrhiza Bunge, Dioscoreae Rhizoma and Angelica sinensis Diels. In terms of property of a medicine, the major Chinese medicines were cold and plain. In terms of flavour, the major Chinese medicines were sweet. In terms of meridian tropism, the major Chinese medicines were the liver and spleen. These high frequency medicines were deficiency-nourishing drugs and invigorating blood circulation and eliminating stasis drugs. Totally 12 core medication combinations were mined through association rules. Six common factors extracted from factor analysis. CONCLUSION The most commonly used drug is Astragali Radix for treating DKD. In clinical, it can be combined with Salvia miltiorrhiza Bunge and Poria cocos Wolf in the treatment of DKD. At the same time, it can supplement some medicines, such as heat-clearing drugs and invigorating blood circulation and eliminating stasis drugs and so on. |
| Key words: diabetic kidney disease medication rule data mining Chinese medicine prescription |
