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基于复杂网络分析吴力群治疗抽动障碍用药规律

Analysis on Medication Law of Wu Liqun in the Treatment of Tic Disorders Based on Complex Network
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摘要 目的探究吴力群教授治疗小儿抽动障碍的用药规律。方法收集吴力群教授2016年9月-2022年10月诊治抽动障碍患儿病案,建立数据库,使用SPSS Statistics 23进行频数统计,使用Liquorice软件进行多尺度骨干网络分析及多层核心网络分析,总结用药规律。结果共纳入病案709则,涉及处方834首,中药203味。药物类别多为补虚药、清热药、平肝熄风药,药性以温、寒、平性为主,归经多归肺经、肝经、脾经。复杂网络分析显示核心处方由当归、白芍、川芎、党参、等20味中药组成,得到30组常用药对,以及不同症状及共患病常用药物。结论吴力群教授治疗小儿抽动障碍重在从“肝风”论治,疏散外风截断病程,平肝潜阳以熄内风,并重视调达肝气,滋阴柔肝,养血熄风。 Objective To explore Professor Wu Liqun’s medication law for treating tic disorders in children.Methods Medical records of tic disorders children treated by Professor Wu Liqun from September 2016 to October 2022 were collected,and a database was established.SPSS Statistics 23 was used for frequency statistics,and Liquorice software was used for multi-scale backbone network analysis and multi-layer core network analysis to summarize the medication law.Results Totally 709 medical records were included,involving 834 prescriptions and 203 kinds of Chinese materia medica.The drug categories were mostly tonic drugs,heat-clearing drugs,and liver pacifying and wind-relieving drugs.The properties of the drugs were mainly warming,cold,and mild,and the meridians were mostly in the lung,liver,and spleen meridians.Complex network analysis showed that the core prescription consisted of 20 kinds of Chinese materia medica,such as Angelicae Sinensis Radix,Paeoniae Radix Alba,Chuanxiong Rhizoma,Codonopsis Radix,and 30 groups of commonly used medicine pairs and commonly used medicines with different symptoms and commodities were obtained.Conclusion Professor Wu Liqun’s treatment for tic disorders in children focuses on treating“liver wind”,evacuating external wind to cut off the course of the disease,soothing the liver and subduing yang to extinguish internal wind,paying attention to regulating liver qi,nourishing yin and soothing the liver,nourishing blood and extinguishing wind.
作者 路晨 霍婧伟 吴力群 王宝盛 张润顺 LU Chen;HUO Jingwei;WU Liqun;WANG Baosheng;ZHANG Runshun(Children’s Hospital of Fudan University,Shanghai 201102,China;Dongfang Hospital,Beijing University of Chinese Medicine,Beijing 100078,China;Guang'anmen Hospital,China Academy of Chinese Medical Sciences,Beijing 100053,China)
出处 《中国中医药信息杂志》 CAS CSCD 2024年第2期27-32,共6页 Chinese Journal of Information on Traditional Chinese Medicine
基金 中国民族医药学会科研项目(2020ZY276-400501) 北京中医药大学基本科研业务费项目(2020-JYB-ZDGG-135)。
关键词 抽动障碍 复杂网络 肝风 数据挖掘 吴力群 tic disorders complex network liver wind data mining Wu Liqun
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