Discussion on the rule of syndrome differentiation and treatment in pulmonary tuberculosis with Chinese materia medica based on data mining methods of latent structure model and frequency itemset
Objective:To explore Chinese herbal medicine selection pattern of pulmonary tuberculosis and provide reference for clinical treatment of pulmonary tuberculosis.Methods:The literature regarding Chinese herbal medicine for pulmonary tuberculosis published before april of 2022 was searched in the databases of CNKI,Wanfang,etc..The information of symptoms-syndromes-Chinese herbal medicine selection was extracted to establish medical database of pulmonary tuberculosis.The latent structure model and frequency item set were applied to analyze Chinese herbal medicine selection pattern of pulmonary tuberculosis.Results:In the end 92 papers were included,involving 241 traditional Chinese medicines and 358 symptoms.High frequency drugs include Maidong(Radix Ophiopogonis),Baibu(Radix Stemonae),Shengdihuang(Radix rehmanniae),Baihe(Bulbus Lilii),etc..According to the frequent item set analysis of Chinese herbal medicine,the high degree of support included Shudihuang(Radix Rehmanniae Preparata)-Shengdihuang⇒Maidong,Chuanbeimu(Bulbus Fritillariae Cirrhosae)-Shanyao(Rhizoma Dioscoreae)⇒ Maidong,etc..High frequency symptoms include cough,night sweat,blood in sputum,expectoration,etc..The latent structure model was constructed,and the main syndromes were Yin(阴)deficiency and fire hyperactivity,lung-Yin deficiency,Yin and Yang(阳)deficiency and so on.Five frequency item sets of syndrome-symptom-herbal were identified,including lung-Yin deficiency syndrome-pulse count + cough + blood in sputum + night sweat-Baibu + Chuanbeimu + Maidong,etc..Conclusion:Chinese herbal medicine for pulmonary tuberculosis selected Maidong,Baibu,Shengdihuang as main herbals,and selected other herbals based on clinical symptoms.This could provide reference for clinical treatment of pulmonary tuberculosis.
万方数据
维普
