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高炎,邵卫,陈国华.基于数据挖掘探讨中药治疗阿尔兹海默病的用药规律[J].湖南中医药大学学报英文版,2020,40(12):1515-1520.[Click to copy
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| 基于数据挖掘探讨中药治疗阿尔兹海默病的用药规律 |
| 高炎,邵卫,陈国华 |
| (湖北中医药大学中医临床学院, 湖北 武汉 430061;武汉市第一医院神经内科, 湖北 武汉 430022) |
| 摘要: |
| 目的 探讨近20年中药治疗阿尔兹海默病的用药规律。方法 筛选中国生物医学文献数据库、万方数据库、维普数据库、中国知网数据库、Pubmed数据库所收录的1999-2020年中药治疗阿尔兹海默病的临床研究文献，以药物频次、关联规则分析探讨用药规律。结果 共收集处方91首，中药151种，使用频次共计875次，高频中药（使用频次≥5）共42味。最常用药物为石菖蒲、熟地黄，常用药类为补虚药、活血化瘀药，药性以温、平、微温为主，药味以甘、辛、苦为主，肝经、脾经、肾经、心经、肺经为主要归经；对高频中药进行关联规则分析，以支持度排名，二项关联以“肉苁蓉→石菖蒲”“水蛭→石菖蒲”并列最高，三项关联以“益智仁+枸杞子→石菖蒲”等3组药物并列最高，四项关联规则以“益智仁+川芎+石菖蒲→郁金”等3组药物并列最高。结论 中医药治疗本病的用药规律切合本虚标实病机，适应于证候的阶段性特征，治法以填精益髓、滋养肝脾肾、益气养血、行气活血、豁痰开窍为主。 |
| 关键词: 阿尔兹海默病 数据挖掘 中药 用药规律 |
| DOI：10.3969/j.issn.1674-070X.2020.12.015 |
| Received:May 09, 2020 |
| 基金项目:国家自然科学基金面上项目（81673914）。 |
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| Exploration on Medication Rules in Treatment for Alzheimer's Disease with Chinese Materia Medica Based on Data Mining |
| GAO Yan,SHAO Wei,CHEN Guohua |
| (Clinical School of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, Hubei 430061, China;Department of Neurology, Wuhan No.1 Hospital, Wuhan, Hubei 430022, China) |
| Abstract: |
| Objective To explore medication rules in treatment for Alzheimer's disease with Chinese materia medica in recent 20 years. Methods Clinical study literatures on treatment for Alzheimer's disease with Chinese materia medica included in China Biology Medicine disc, Wanfang database, VIP database, China National Knowledge Infrastructure database and Pubmed database from 1999-2020 were retrieved. Frequencies of medicinal substances and association rules analysis were used for the exploration on the medication rules. Results A total of 91 prescriptions were collected in this study, involving 151 kinds of Chinese materia medica, a total frequency of 875 times and 42 kinds of high-frequency Chinese materia medica (frequency ≥ 5). The commonly used medicinal substances were Rhizoma Acori Tatarinowii and Radix Rehmanniae Preparata. The commonly used categories of Chinese materia medica were those of tonifying deficiency and promoting blood circulation for removing blood stasis. Properties of medicinal substances were mainly warm, plain and slightly warm. Flavors were mainly sweet, acrid and bitter. Channel tropism was mainly the liver channel, the spleen channel, the kidney channel, the heart channel and the lung channel. The association rules analysis of the high-frequency Chinese materia medica was performed, and they were ranked by support degrees. The top in binomial correlation were Herba Cistanches→Rhizoma Acori Tatarinowii and Hirudo→Rhizoma Acori Tatarinowii, the top in trinomial correlation were Fructus Alpiniae Oxyphyllae + Fructus Lycii→Rhizoma Acori Tatarinowii and other 2 groups, and the top in quaternary correlation were Fructus Alpiniae Oxyphyllae + Rhizoma Chuanxiong + Rhizoma Acori Tatarinowii→Radix Curcumae and other 2 groups. Conclusion The medication rules of Chinese materia medica treating this disease were in line with the pathogenesis of deficiency in the root and excess in manifestation, and they adapt to stage characteristics of syndromes. Treatment methods are mainly supplementing essence and replenishing marrow, nourishing liver, spleen and kidney, replenishing Qi and nourishing blood, activating Qi and promoting blood circulation, as well as eliminating phlegm for resuscitation. |
| Key words: Alzheimer's disease data mining Chinese materia medica medication rules |
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