摘要
目的分析李长辉治疗气阴两虚兼血瘀糖尿病周围神经病变组方规律。数据来源辽宁中医药大学附属医院门诊部。数据选择依据按照诊断标准、纳入标准及排除标准筛选符合要求的气阴两虚兼血瘀糖尿病周围神经病变病历。方法根据《中药学》规范统一药名。应用SPSS 21.0统计软件、Excel 2003软件,对药物、性味、归经进行频数分析,对药物进行相关性分析、R型聚类分析。结果与结论①本研究50例患者,130诊次,130首方,共96味不同中药,②使用频率>10%的药物41味,前五味是:黄芪、丹参、玉竹、红花、黄精。③常用药对:五味子-合欢花,姜黄-牛膝,玉竹-黄精,乌梅-生地黄,黄芪-鸡血藤。④高频药物聚类方:聚类方一:地龙、川芎、姜黄、牛膝、白芍、当归、赤芍、木瓜、甘草。聚类方二:山药、乌梅、生地黄。聚类方三:麦冬、合欢花、五味子。⑤四气五味及归经统计分析:按频数排序,四气:温、寒、凉、热。五味:苦、甘、辛、酸、咸。归经:肝经、脾经、肺经、肾经、心经、胃经、大肠经、膀胱经、胆经、小肠经、三焦经、心包经。未来展望扩大样本量提高结果准确性,如能推广,在发展前景上必将获得巨大的社会和经济效益。
Objective To analyze the rule of LI Changhui’s prescriptions for treatment of diabetic peripheral neuropathy with both Qi and Yin deficiency and blood stasis.Data source The data was from the Outpatient Department of Affiliated Hospital of Liaoning University of Traditional Chinese Medicine.Selection basis According to the diagnostic criteria,inclusion criteria and exclusion criteria,the medical records of diabetic peripheral neuropathy with both Qi and Yin deficiency and blood stasis were screened.Method The drug name was unified according to the standard of Chinese Traditional Medicine.SPSS 21.0 statistical software and Excel 2003 software were used to conduct frequency analysis on drugs,sexual taste and meridian,and correlation analysis and R-type cluster analysis on drugs.Results and Conclusions①There were 50 patients in this study,130 consultations,130 prescriptions,a total of 96 different Chinese medicines.②Forty-one drugs had a frequency more than 10%.The top five were Huangqi(Astragalus),Danshen(Salvia),Yuzhu(Polygonatum odoratum),Honghua(Carthamus tinctorius)and Huangjing(Polygonatum sibiricum).③Commonly-used drug pairs were Wuweizi(Schisandra)-Hehuan(Acacia),Jianghuang(Turmeric)-Niuxi(Achyranthes),Yuzhu(Polygonatum odoratum)-Huangjing(Polygonatum sibiricum),Wumei(Prunus mume)-Shengdi(Rehmannia glutinosa),Huangqi(Astragalus)-Jixueteng(Coleaceae).④High-frequency drug clustering prescription one:Dilong(Pheretima),Chuanxiong(Ligusticum),Jianghuang(Curcuma),Niuxi(Achyranthes),Baishao(white peony root),Danggui(Angelica),Chishao(red peony root),Mugua(papaya),Gancao(licorice).Clustering prescription two:Shanyao(yam),Wumei(Prunus mume),Shengdi(Rehmannia glutinosa).Clustering prescription three:Maidong(Ophiopogon japonicus),Hehuan(Albizia),Wuweizi(Schisandra).⑤Statistical analysis of four natures and five flavors and meridians:sorted by frequency,the order of four natures was warm,cold,cool and heat.The order of five flavors was bitter,sweet,spicy,sour and salty.The order of meridian tropism wasliver meridian,spleen meridian,lung meridian,kidney meridian,heart meridian,stomach meridian,large intestine meridian,bladder meridian,gallbladder meridian,small intestine meridian,Sanjiao meridian and Pericardial meridian.Future Outlook Expanding the sample size can improve the accuracy of the results.If it can be promoted,it will surely obtain huge social and economic benefits in the development prospects.
作者
刘晨雨
李长辉
LIU Chenyu;LI Changhui(Liaoning University of Traditional Chinese Medicine,Shenyang 110847,Liaoning,China;Affiliated Hospital of Liaoning University of Traditional Chinese Medicine,Shenyang 110032,Liaoning,China)
出处
《实用中医内科杂志》
2021年第2期66-70,共5页
Journal of Practical Traditional Chinese Internal Medicine
基金
辽宁省中医药临床学(专)科能力建设(20181016)。
关键词
糖尿病周围神经病变
李长辉
组方规律
消渴痹症
气阴两虚兼血瘀
数据挖掘
药对
聚类方
diabetic peripheral neuropathy
LI Changhui
regularprescription
diabetes and Bi syndrome
Qi and Yin deficiency and blood stasis
data mining
drugs pairs
clustering prescription