Discussion On The Medication Rule Of Professor Wang Ping In Treating Perimenopausal Insomnia Based On Data Mining Technology

Objective: Perimenopause is an important time stage in women’s life.The fluctuation or decrease of estrogen secretion during this period leads to autonomic nervous dysfunction,in which insomnia is a common problem.The purpose of this paper is to collect the related cases of perimenopausal insomnia treated by Chinese herbal medicine from the outpatients of Professor Wang Ping.By using the statistical analysis methods of frequency statistics,association rule analysis and hierarchical cluster analysis,this paper summarizes the commonly used Chinese herbal medicine,drug pairs and treatment methods of Professor Wang Ping in the treatment of perimenopausal insomnia,For clinical treatment of perimenopausal insomnia to provide more clinical experience.Methods: From January 2019 to December 2020,we collected female patients aged between 45 and 55 who met the diagnostic criteria of perimenopausal insomnia according to the prescription of Chinese herbal medicine and who were treated in the expert clinic of Guoyitang of Hubei University of traditional Chinese medicine and Wang Ping,chief physician of encephalopathy Department of Hubei Provincial Hospital of traditional Chinese medicine.(1)In strict accordance with the diagnostic criteria,inclusion criteria and exclusion criteria,164 patients were screened and 322 visits were recorded.Excel was used to establish patient information database,including patient’s name,treatment number,treatment time,chief complaint,current medical history,past history,diagnosis of traditional Chinese and Western medicine,prescription drugs and usage.The name of traditional Chinese medicine should be standardized,and the database of traditional Chinese medicine should be established according to the Pharmacopoeia of the people’s Republic of China(2020 Edition)and traditional Chinese medicine.(2)Using the ancient and modern medical record cloud platform(v2.2.2)software,structured electronic medical records,using statistical methods to analyze the age of patients,the number of visits,the frequency of Chinese medicine use;Statistics of drug properties,such as four Qi,five flavors,meridian tropism,efficacy;And the drug association rules analysis,hierarchical clustering analysis of drugs.Results:(1)164 patients were included in this study,including 97 patients with single visit and 67 patients with follow-up visit,with a total of 225 cases.The youngest was 45 years old,the oldest55 years old,and the highest number of visits was 13.The age of45-49 years old accounted for 31.68%,and the age of 50-55 years old accounted for 68.23%.(2)A total of 187 traditional Chinese medicines were involved in this study,with a cumulative frequency of 6333 times.The most frequently used ones were Radix Glycyrrhizae,semen Ziziphi Spinosae,Radix Pseudostellariae,Radix Polygoni Multiflori,Rhizoma Chuanxiong,radix salviae miltiorrhizae,Radix Paeoniae Alba,Rhizoma Anemarrhenae and ginseng.Among the 187 drugs used,all the twelve meridians were involved.Among them,the use of drugs attributed to liver channel,heart channel,lung channel,spleen channel,kidney channel is more.According to the statistical results of four kinds of drugs,there are more cold drugs,mild drugs and warm drugs.The five flavor attributes were sweet,pungent,sour and bitter.From the perspective of drug efficacy,the most commonly used drugs are tranquilizing and astringent.(3)In the analysis of association rules,when the confidence level is set to 0.9 and the support level is set to 0.5,the associated drugs are: Calcined keel→calcined oyster,Shouwuteng→Suanzaoren,Shouwuteng+ Taizishen→Suanzaoren,Chuanxiong+Zhimu→Suanzaoren,Zhimu→Suanzaoren,Calcined oyster→ Calcined keel,Chuanxiong + Taizishen → Suanzaoren,Chuanxiong →Suanzaoren,Danshen+ Taizishen→Suanzaoren,Danshen→Suanzaoren,Calcined Oyster→Suanzaoren,Renshen→Suanzaoren,Taizishen→Suanzaoren,Baishao→Suanzaoren,Suanzaoren + Zhimu→Chuanxiong,Zhimu→ Chuanxiong.(4)Hierarchical cluster analysis was carried out on the top34 traditional Chinese medicines used more than 60 times to get the core prescription.The first group: Nanshashen,Xuanshen,Baihe Calcined keel,Calcined oyster,Fuxiaomai;the second group: Chaihu,Zhike,Danggui,Baishao;the third group: Cangzhu,Zhizi;the fourth group: Liushenqu,Chaoshanzha,Chaomaiya,Gouqizi,Tianma,Dihuang,Dangshen,Hehuanpi,Huangqi,Huanglian,Yinyanghuo;the fifth group: Suanzaoren,Zhigancao,Taizishen,Danshen,Renshen,Xiakucao The sixth group: Zhimu,chuanxiong,Fushen,Wuweizi,Shouwuteng.Conclusion:Through the data mining of Professor Wang Ping’s medication rule in the treatment of perimenopausal insomnia,this paper summarizes Professor Wang Ping’s experience in the treatment of perimenopausal insomnia⑴From the perspective of drug efficacy,the most commonly used drugs are tonifying deficiency drugs,tranquilizing drugs and astringent drugs,which show the characteristics of perimenopausal insomnia patients with spleen and kidney deficiency as the basis and heart and mind dystrophy as the target.⑵In perimenopausal women,the kidney essence is gradually declining,the spleen is the acquired foundation,and the source of Qi and blood biochemistry.Congenital kidney essence relies on the nourishment of the water and grain essence transported by the spleen and stomach.In the treatment of perimenopausal insomnia,attention should be paid to regulating the spleen and stomach.⑶Professor Wang Ping paid attention to the function of liver controlling and relieving in the treatment of perimenopausal insomnia,and used the drug combination of nourishing liver and blood and soothing liver depression.⑷Through cluster analysis and association rule analysis,it is concluded that the treatment of perimenopausal insomnia is more flexible,such as nourishing the heart and calming the nerves,invigorating the spleen and Qi,astringent,nourishing the liver and kidney,promoting blood circulation and promoting qi.⑸In this paper,we use data mining technology to summarize the medication rules of Professor Wang Ping in the treatment of perimenopausal insomnia,and provide a new feasible idea for inheriting Professor Wang Ping’s experience in the treatment of perimenopausal insomnia.