基于数据挖掘分析中药治疗糖尿病神经源性膀胱的用药规律

Analysis on medication rules of traditional Chinese medicine in treating diabetic neurogenic bladder based on data mining

目的通过数据挖掘分析中药治疗糖尿病神经源性膀胱的用药规律。方法在知网、万方、维普、中国生物医学文献服务系统上查找自建库至2020年3月所有相关方剂,将符合标准者一一传录到中医传承辅助平台(V2.5)上,对药物的使用频次、四气五味、归经等进行统计分析。结果共筛选出226首处方,药味以甘、苦、辛为主,药性以温、寒居多,平次之,归经以肾和膀胱分列脏、腑首位,使用频次最高的是黄芪、茯苓、泽泻,借助关联规则和聚类分析得到新处方5个。结论本病病位在膀胱,与肾密切相关,治疗要着眼于恢复膀胱气化,组方多以金匮肾气丸或五苓散为核心。

Objective To analyze the medication rules of traditional Chinese medicine in treating diabetic neurogenic bladder based on data mining.Methods All relevant prescriptions were searched on CNKI,Wanfang,VIP,SinoMed from the databases establishment to March 2020,those met the criteria were transferred to the traditional Chinese medicine inheritance support platform(V2.5).The frequency of drug use,four qi and five flavor,meridian tropism were statistically analyzed.Results A total of 226 prescriptions were screened out.The tastes of the medicine were mainly sweet,bitter and pungent,and the properties of the medicine were mostly warm and cold,followed by mild.Kidney and bladder was the first in zang and fu about meridian tropism respectively.Milkvetch root,Indian bread and Oriental waterplantain rhizome were the most frequently used.Five new prescriptions were obtained by association rules and cluster analysis.Conclusion This disease is located in the bladder,and is closely related to the kidney.The treatment should focus on the recovery of bladder gasification.The core of the prescriptions is Jingui Shenqi Pills or Wuling Powder.