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Objective To study the medication law of Professor Zhang Yunling in the treatment of headache based on data mining technology;To provide ideas for the clinical treatment of headache.Methods Professor Zhang Yunling's outpatient TCM prescription data for the treatment of headache from Sep.2017 to Dec.2020 were collected,and the Ancient and Modern Medical Record Cloud Platform 2.3.5 was used to mine the selected TCM prescriptions for herbal medicine frequency statistics,property,taste and meridian tropism statistics,herbal medicine efficacy statistics,correlation analysis,clustering analysis,complex network analysis,etc.Results Through collection and screening,totally 332 prescriptions were included,involving 178 kinds of Chinese materia medica,with a total frequency of 5 380 times.The top 10 kinds of Chinese materia medica were Chuanxiaong Rhizoma,Paeoniae Radix alba,Atractyodis Macrocephalae Rhizoma,Testudinis Carapax et Plastrum,Bambusae Caulis in Taenia,Glycyrrhizae Radix et Rhizoma,Astragali Radix,Amomi Fructus Rotundus,Pinelliae Rhizoma Praeparatum,and Polygalae Radix.They were mainly warm,mild and slightly cold in properties,sweet,pungent and bitter in tastes,and liver,lung,spleen meridian in meridian tropism.In the statistics of herbal medicine efficacy,expelling wind and relieving pain,suppressing liver yang,promoting blood circulation and qi,clearing heart and relieving restlessness,clearing heat and detoxifying,softening liver and relieving pain were used more frequently.The combinations in herbal medicines association included"Atractyodis Macrocephalae Rhizoma-Chuanxiaong Rhizoma","Testudinis Carapax et Plastrum-Paeoniae Radix alba","Glycyrrhizae Radix et Rhizoma-Paeoniae Radix alba","Testudinis Carapax et Plastrum-Chuanxiaong Rhizoma","Bambusae Caulis in Taenia-Chuanxiaong Rhizoma".Herbal medicines clustering clustered 32 kinds of high-frequency herbal medicines used more than 60 times into 6 categories.Complex network analysis screened out the core formula for the treatment of headache:Chuanxiaong Rhizoma,Paeoniae Radix alba,Atractyodis Macrocephalae Rhizoma,Bambusae Caulis in Taenia,Pinelliae Rhizoma Praeparatum,Testudinis Carapax et Plastrum,Astragali Radix,Amomi Fructus Rotundus,and Glycyrrhizae Radix et Rhizoma.Conclusion In the treatment of headache,Professor Zhang Yunling holds that the pathogenesis of headache is deficiency in origin and excess in superficiality,deficiency of qi and blood,loss of nourishment of brain collaterals,stagnation of phlegm and dampness,disturbance of wind pathogen,obstruction of brain collaterals,and the location of the disease is related to the five viscera and involves the stomach.Focuses on tonifying deficiency and reducing excess,treats exterior and interior separately,and gives consideration to both the symptoms and the root causes,which often uses drugs to treat headache,such as dispelling wind and relieving pain,promoting blood circulation and relieving pain,relieving spasm and relieving pains,eliminating phlegm and dampness,invigorating qi and spleen,nourishing blood and yin,eliminating dampness and regulating stomach,relieving depression and restlessness,which can provide some reference for the clinical treatment of headache.
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Objective To analyze TCM master Yan Zhenghua's medication rules of ascending,descending,floating and sinking properties for the treatment of respiratory diseases,inherit his valuable academic experience.Methods Using four books edited by Professor Yan Zhenghua's disciples as the main source,Professor Yan Zhenghua's prescriptions for clinical treatment of respiratory diseases were systematically collected and analyzed.Statistical analysis was conducted on the patients'gender and age,differentiation of diseases and syndrome types of the prescriptions,as well as the properties of ascending,descending,floating and sinking,dosage,and commonly used pairs of Chinese materia medica.Results Totally 208 prescriptions were included in this study,involving 178 kinds of Chinese materia medica and 64 kinds of monarch drug,most of them were descending and sinking drug,and the whole prescription was mainly descending and sinking.On average,each prescription used 13.2 kinds of Chinese materia medica,and most dosage points were within the range of conventional dosage.Among later adding medicines,Houttuyniae Herba had the highest frequency of use.The medicinal pairs of Asteris Radix et Rhizoma-Cynanchi Stauntonii Rhizoma et Radix,Cynanchi Stauntonii Rhizoma et Radix-Stemonae Radix and Asteris Radix et Rhizoma-Stemonae Radix were often used.Armeniacae Semen Amarum,Fritillariae Thunbergii Bulbus,and Asteris Radix et Rhizoma were commonly used in those descending and sinking prescriptions.Conclusion In the treatment of respiratory diseases,Professor Yan Zhenghua prefers to use descending and sinking drugs with ascending and floating drugs and dual trend drugs to regulate qi activity,and has the characteristics of Menghe medical school,which is"mild and flexible medication".
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Objective To summarize the medication law of TCM in the treatment of chronic bronchitis;To provide reference for clinical medication.Methods Medical records of patients with chronic bronchitis who were hospitalized in the Respiratory Department of the First Affiliated Hospital of Henan University of Chinese Medicine from January 1,2016 to December 31,2021 were extracted based on HIS electronic medical record data.After screening,the TCM prescriptions used by patients with chronic bronchitis were input into Excel 2019 to establish a database.Based on the software Lantern 5.0,the latent structure model was learned,hidden variables and explicit variables were obtained,and the model was interpreted.SPSS Modeler 18.0 was used to establish model points with Apriori algorithm for Chinese materia medica with a frequency greater than 6%,to obtain the association rules between drugs,and to analyze the medication law of TCM in treating chronic bronchitis.Results A total of 3 410 cases were included,involving 423 kinds of Chinese materia medica,with a cumulative frequency of 82 766 times.Among them,109 kinds of Chinese materia medica with a frequency of>6 % had a cumulative frequency of 69 845 times.The top five commonly used medicines were Fritillariae Cirrhosae Bulbus,Poria,Atractyodis Macrocephalae Rhizoma,Asteris Radix et Rhizoma,Citri Reticulatae Pericarpium,mainly with medicines of reducing cough and phlegm,antiasthmatic medicine,tonifying deficiency,clearing heat,relieving superficies,promoting blood circulation and removing blood stasis.The medicinal properties were warming,cold and mild,and the main tastes were bitter,sweet and pungent,and the meridians were mainly lung,spleen,liver and stomach meridians.Through analysis of latent structure,49 hidden variables and 149 hidden classes were obtained.Combined with professional knowledge,10 comprehensive clustering models and 21 core formulas were deduced,such as Sangbaipi Decoction,Xuefu Zhuyu Decoction,Xiaoqinglong Decoction,Erchen Decoction,Shashen Maidong Decoction,Liuwei Dihuang Pills,Yinqiao Powder,Zhisou Powder,Yupingfeng Powder,Xuefu Zhuyu Decoction combined with Daotan Decoction,etc.It was concluded that the chronic bronchitis syndrome included phlegm-heat stagnation lung syndrome,qi stagnation blood stasis syndrome,cold fluid attacking lung syndrome,phlegm-dampness accumulation lung syndrome,lung qi and yin deficiency syndrome,kidney yin deficiency syndrome,wind heat attacking lung syndrome,wind cold attacking lung syndrome,lung qi and spleen deficiency syndrome,phlegm stasis interjunction syndrome.A total of 41 strong association rules were screened in the analysis of association rules,including 5 strong association rules for two and 36 strong association rules for three.The high confidence rules were Saposheikovize Radix + Angelicae Sinensis Radix →Atractyodis Macrocephalae Rhizoma,Saposheikovize Radix + Codonopsis Radix → Atractyodis Macrocephalae Rhizoma,Codonopsis Radix + Citri Reticulatae Pericarpium → Atractyodis Macrocephalae Rhizoma;the higher degree of improvement were Bupleuri Radix + Mori Cortex → Scutellariae Radix,Perillae Fructus + Belamcandae Rhizoma → Fritillariae Cirrhosae Bulbus,Armeniacae Semen Amarum + Pinelliae Rhizoma → Citri Reticulatae Pericarpium,etc.Conclusion In the treatment of chronic bronchitis,TCM is mainly used to reduce phlegm,relieve cough and asthma,and the method of promoting blood circulation and removing blood stasis is commonly used to help eliminate phlegm.In addition,TCM pays attention to the application of methods such as tonifying lung and securing the exterior,invigorating spleen and benefiting qi.
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Objective To study the syndrome-drug association rule and the medication law of cough medical cases treated by Xin'an doctors using the data mining method;To provide reference for the treatment of cough.Methods The medical records of Xin'an doctors were collected and summarized.The frequency analysis,topology analysis and Louvain clustering analysis were used to conduct data mining research on syndrome types and prescriptions,and the relationship between syndrome types and prescriptions in cough treatment medical records and the law of drug composition in prescriptions were discussed.Results A total of 525 medical cases were included,and 26 kinds of syndromes were obtained,such as wind-heat invading lung,phlegm-dampness holding lung,lung qi deficiency.There were 243 kinds of Chinese materia medica involved,and 18 kinds of Chinese materia medica were with more than 70 times in frequency.The main properties were cold,warm and mild,and the main tastes were sweet,bitter and pungent,mainly in lung meridian,or the main properties were mild and warm and the main taste was sweet,mainly in spleen and stomach meridian.There were 25 categories in efficacy,which were mainly tonics and heat-clearing medicine.30 core medicines and core medicinal networks were obtained,such as Glycyrrhizae Radix et Rhizoma,Poria and Armeniacae Semen Amarum.The core drug combination of main syndromes of exogenous cough and excess syndrome and deficient syndrome of endogenous cough were obtained by syndrome-drug clustering analysis.Conclusion Xin'an doctors have distinctive characteristics in the diagnosis and treatment of cough diseases,and pay attention to the use of the methods of"strengthening the basic and promoting original qi","nourishing yin and protecting yin","cultivating the soil and promoting gold"and the inheritance of the prescriptions on the basis of cough relieving,phlegm resolving,and syndrome-based treatment.
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Objective To explore the characteristics of TCM in the treatment of asymptomatic hyperuricemia based on data mining.Methods Clinical literature on the TCM treatment of asymptomatic hyperuricemia in CNKI,Wanfang Data,VIP and SinoMed was retrieved.After screening,the prescriptions obtained were input into Excel 2019 database,and SPSS Modeler 18.0,SPSS Statistics 26.0 and Cytoscape 3.9.1 were used for frequency analysis,association rule analysis,clustering analysis and factor analysis.Results A total of 133 articles meeting the criteria were included,and 140 prescriptions were included,involving 202 kinds of Chinese materia medica,with a total frequency of 1 387 times.22 drugs,such as Smilacis Glabrae Rhizoma,Coicis Semen,Dioscoreae Spongiosae Rhizoma,Astrctylodis Rhizoma,were frequently used in the treatment of asymptomatic hyperuricemia.The commonly used drugs were drugs for urine excretion to strain off dampness,tonics,clearing heat,promoting blood circulation and removing blood stasis.The medicinal property was mainly warm,the medicinal taste was mainly sweet,and the meridians were mainly liver,spleen,stomach and kidney meridians.21 groups of medicinal combinations were obtained by high frequency drug association rule analysis,among which the core drug pairs were Coicis Semen-Astrctylodis Rhizoma,Smilacis Glabrae Rhizoma-Dioscoreae Spongiosae Rhizoma-Coicis Semen,Coicis Semen-Astrctylodis Rhizoma-Smilacis Glabrae Rhizoma,etc.Clustering analysis obtained 5 clustering methods,and factor analysis obtained 7 common factors.Conclusion In the TCM treatment of asymptomatic hyperuricemia,the main methods are urine excretion to strain off dampness,strengthening spleen and tonifying qi,and the main drugs are Smilacis Glabrae Rhizoma,Coicis Semen,Dioscoreae Spongiosae Rhizoma,Astrctylodis Rhizoma,which can provide reference for clinical treatment of asymptomatic hyperuricemia.
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Objective:To summarize the thinking and compatibility law of TCM in the treatment of stable angina pectoris (SAP) based on syndrome differentiation using data mining technology.Methods:The clinical studies of TCM treatment for SAP in databases of CNKI, Wanfang Data, VIP and SinoMed China Biomedical Literature Service System were retrieved from the establishment of the databases to February 28, 2022. The frequency statistic, clustering analysis and association rule analysis of TCM data were conducted using Clementine 12.0, Excel 2016, SPSS Statistics 22.0 software, and core prescriptions were summarized.Results:Totally 289 prescriptions were included, involving 185 kinds of Chinese materia medica, including 38 TCM syndrome types. Based on the overall study of SAP "disease", the clinical treatment of SAP was mainly based on the drugs for activating blood circulation and removing blood stasis, tonifying deficiency and strengthening healthy qi, and regulating qi and resolving phlegm. The single Chinese materia medica with high frequency of use were Chuanxiaong Rhizoma, Salviea Miltiorrhizae Radix et Rhizoma, Glycyrrhizae Radix et Rhizoma, Angelicae Sinensis Radix, Angelicae Sinensis Radix, etc. The commonly used drug pairs included Chuanxiaong Rhizoma-Angelicae Sinensis Radix, Chuanxiaong Rhizoma-Carthami Flos, Chuanxiaong Rhizoma-Aurantii Fructus Immaturus, etc. The drug complex network diagram and clustering analysis showed that the prescription of Buyang Huanwu Decoction was the basic prescription for the treatment of SAP; based on the specific research of SAP "syndrome", the most common TCM syndromes of SAP were qi deficiency and blood stasis, phlegm and blood stasis, and qi stagnation and blood stasis. The drug properties of the three drugs were mainly warm and mild; the tastes were mainly sweet, pungent and bitter, and most of them belong to the liver, spleen, lung and heart meridian; in terms of specific medication, the basic prescription of qi deficiency and blood stasis syndrome was Buyang Huanwu Decoction, which was composed of high-frequency drugs such as Angelicae Sinensis Radix, Chuanxiaong Rhizoma, Salviea Miltiorrhizae Radix et Rhizoma, etc; The phlegm and blood stasis syndrome was often based on the Gualou Xiebai Banxia Decoction and Taohong Siwu Decoction, which were composed of high frequency drugs such as Pinelliae Rhizoma, Chuanxiaong Rhizoma, Allii Macrostemonis Bulbus, etc; the basic prescription of qi stagnation and blood stasis syndrome was Xuefu Zhuyu Decoction, which was composed of high frequency drugs such as Chuanxiaong Rhizoma, Angelicae Sinensis Radix, Aurantii Fructus. Drug clustering analysis showed that both qi deficiency and blood stasis syndrome and qi stagnation and blood stasis syndrome were divided into 3 categories, and phlegm and blood stasis syndrome were divided into 4 categories.Conclusions:Deficiency, blood stasis, phlegm and stagnation are important pathological factors of SAP, in which qi deficiency is the basis of SAP, blood stasis runs through the disease, or both phlegm and qi stagnation. Focusing on the pathogenesis of deficiency in root and excess in superficiality, drugs with the efficacy of tonifying the deficiency and promoting blood circulation and removing blood stasis are used in clinical treatment, according to different syndrome differentiation of prescription selection.
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Objective:To explore the medication law of TCM in the treatment of superficial vein thrombosis (SVT) using data mining.Methods:Literature about TCM in the treatment of SVT was retrieved from CNKI, Wanfang Data, and VIP from the establishment of the databases to November 27th, 2022. WPS 12.1.0.15990 was used to conduct statistical analysis on drug frequency, property and taste and meridian. The association rules and systematic clustering were carried out by SPSS Modeler 18.0 and SPSS Statistics 25.0. Finally the medication law of TCM in the treatment of SVT was summarized and refined.Results:A total of 281 articles were included, including 245 internal prescriptions with 182 kinds of Chinese materia medica, and 123 external prescriptions with 188 kinds of Chinese materia medica. The high frequency used oral Chinese materia medica were mainly Angelicae Sinensis Radix, Paeoniae Radix Rubra, Cyathulae Radix, while the high frequency drugs used externally mainly included Rhei Radix et Rhizoma, Phellodendri Chinensis Cortex, Carthami Flos. These Chinese materia medica were mainly heat-clearing and blood-stasis activators drugs. The medicinal properties of high frequency oral Chinese materia medica were mainly slightly cold, flat and cold,and the tastes were mainly bitter and sweet, and the meridian were mainly liver, heart, spleen and lung. The medicinal properties of high-frequency external Chinese materia medica were mainly cold and warm, and the tastes were mainly bitter and pungent, and the meridian were mainly liver, heart, spleen and stomach. There were 22 rules of association for internal TCM and 7 for external use. The clustering analysis divided oral drugs into 5 categories and topical drugs into 4 categories.Conclusion:TCM treatment of SVT is based on clearing heat, activating blood circulation and resolving blood stasis, and matching with the syndromes, which reflects the holistic concept of TCM and the perspective of syndrome differentiation and treatment.
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Objective:To analyze the medication and compatibility law of TCM compounds with national patents for the treatment of polycystic ovary syndrome (PCOS); To provide reference for the new TCM prescriptions for the treatment of PCOS.Methods:TCM compound patents for PCOS were retrieved from the China National Intellectual Property Administration's Chinese Patent Announcement Website from the establishment of the website to April 20, 2023. SPSS 25.0, IBM SPSS Modeler 18.0, and Cytoscape 3.8.0 were used to carry out frequency statistics, association rule analysis on the data, and a TCM core complex network and systematic clustering analysis were built.Results:126 compound patents were included, involving 392 kinds of Chinese materia medica, with a total frequency of 1 709 times. The medicinal property was mainly warm, the taste was mainly sweet, and the meridian was mainly liver meridian. High frequency drugs included Angelica Sinensis (46 times), Cuscutae Semen (44 times), Cyperi Rhizoma (42 times), Rehmanniae Radix Praeparata (41 times), Salviae Miltiorrhizae Radix et Rhizoma (37 times), etc. Commonly used medicinal pairs included Poria-Atractylodis Macrocephalae Rhizoma (support 16.67%, confidence 76.19%), Angelica Sinensis-Paeoniae Radix Alba (support 15.87%, confidence 80.00%), etc. The triple drug combinations were Cyperi Rhizoma-Pinelliae Rhizoma-Poria (support 12.70%, confidence 81.25%). The core prescriptions included "Poria, Pinelliae Rhizoma, Citri Rettculatae Pericarpium, Cyperi Rhizoma, Salviae Miltiorrhizae Radix et Rhizoma, Epimedii Folium, Atractylodis Macrocephalae Rhizoma, Morindae Officinalis Radix, Gleditsiae Spina, Acori Tatarinowii Rhizoma", etc. Potential prescriptions were "Hordei Fructus Germinatus, Setariae Fructus Germinatus, Sargentodoxae Caulis, Puerariae Lobatae Radix, Leonuri Fructus" and so on.Conclusion:The treatment of PCOS with TCM compounds with national patents mainly focuses on drying dampness and strengthening the spleen, tonifying kidney yang and nourishing kidney yin, promoting blood circulation.
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Objective:To analyze the medication characteristics and the rules of prescription for the treatment of acute mastitis in Puji Fang; To provide reference for the clinical treatment of acute mastitis in modern TCM. Methods:Prescriptions of the chapters of " Ruyong" and " Duru" contained in Pu Ji Fang? Fu Ren Zhu Ji Men were screened, and the prescription data were analyzed by using the ancient and modern medical record cloud platform V2.3.5 for drug frequency, properties, tastes, meridian tropism, and efficacy. Clustering analysis of high-frequency drugs and analysis of association rules were performed. Results:A total of 141 prescriptions were included, with 201 kinds of Chinese materia medica. The top ten drugs with the high frequency of use were Glycyrrhizae Radix et Rhizoma, Paeoniae Radix alba, Rhei Radix et Rhizoma, Angelicae Sinensis Radix, Astragali Radix, Olibanum, Trichosanthis Fructus, Ginseng Radix et Rhizoma, Scutellariae Radix, Gleditsiae Spina. The main property was cold, the main taste was sweet, the main meridian was spleen meridian, and the main efficacy was heat clearing and detoxification. Three types of high-frequency drugs could be obtained by clustering analysis, namely, Ginseng Radix et Rhizoma-Astragali Radix-Angelicae Sinensis Radix-Rhei Radix et Rhizoma, Scutellariae Radix-Paeoniae Radix alba-Glycyrrhizae Radix et Rhizoma, Trichosanthis Fructus-Olibanum-Gleditsiae Spina. Through correlation analysis of high-frequency drugs, it was found that there was a great correlation between Astragali Radix and Paeoniae Radix alba, Angelicae Sinensis Radix, Glycyrrhizae Radix et Rhizoma, Ginseng Radix et Rhizoma.Conclusions:The pathogenesis of acute mastitis in Pu Ji Fang is mainly damp-heat toxin and blood stasis, and deficiency of qi and blood. The treatment for strengthening healthy qi focuses on tonifying qi and blood of the liver and spleen, while the treatment for eliminating pathogenic factors focuses on removing dampness, clearing heat and toxin, resolving phlegm, dispersing stasis and removing blood stasis. In addition, according to the condition, the treatment will be increased or decreased with the disease.
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Objective:To analyze the medication law of TCM oral prescriptions in the treatment of postherpetic neuralgia (PHN).Methods:The effective cases and clinical studies about TCM oral prescriptions in the treatment of PHN were retrieved from CNKI, Wanfang Data, VIP, and CBM from January 1, 2002 to December 31, 2021. The medication frequency and drug properties were counted through the Ancient and Modern Medical Record Cloud Platform, and correlation analysis, cluster analysis and complex network analysis were performed.Results:A total of 233 articles were included, involving 243 prescriptions and 191 kinds of Chinese materia medica. There were 20 kinds of Chinese materia medica with frequency >40, most of which have the efficacy of promoting blood circulation to remove blood stasis. The Chinese materia with heat-clearing and detoxifying efficacy were also often used. The properties were mainly warm, mild, slight cold, and cold, tastes were mainly bitter, pungent and sweet, and meridians were mainly liver, spleen and heart meridians. The association rule analysis was used to obtain 15 commonly used TCM groups. The commonly used Chinese materia medica could be clustered into 4 categories. The core prescription obtained by complex network analysis was Angelicae Sinensis Radix, Glycyrrhizae Radix et Rhizoma, Corydalis Rhizoma, Bupleuri Radix, Carthami Flos, Paeoniae Radix Alba, Persicae Semen, Chuanxiong Rhizoma, and Rehmanniae Radix.Conclusion:TCM oral prescriptions for the treatment of PHN put promoting blood circulation to remove blood stasis and activating meridians to stop pain in priority, taking into account the clearing heat, regulating qi and blood.
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Objective:To explore the medication law and academic thought of Professor Hu Guohua in treating diminished ovarian reserve (DOR) based on data mining.Methods:Collecting the medical records of DOR patients treated by Prof. Hu from January 1, 2021 to March 31, 2022. The TCM symptoms, tongue and pulse conditions, as well as the frequency, taste, meridian tropism and efficacy categories of TCM were analyzed by using the Traditional Chinese Medicine Inheritance Computing Platform V3.0 software. Commonly used drug combination analysis, high-frequency drug network relationship analysis, association rule analysis based on Apriori algorithm, cluster analysis based on K-means clustering algorithm, and core prescriptions were summarized.Results:A total of 85 DOR patients were included, involving 76 TCM symptoms, 15 tongue images, 11 pulse images. A total of 415 prescriptions were included, involving 164 kinds of Chinese materia medica. High-frequency drugs included Ligustri Lucidi Fructus, Angelicae Sinensis Radix, Astragali Radix, Cuscutae Semen, Herba Leonuri and Rhizoma Atractylodis Macrocephalae. The medicines were mostly warm, mild and cold in property, and the tastes were mostly sweet, bitter and pungent, mainly belonging to the liver, spleen and kidney meridians. 42 high-frequency drug combinations and 6 core prescriptions were obtained.Conclusions:Professor Hu treats DOR with the principle of tonifying the kidney and spleen to regulate body constitution, conditioning Chong Vessel and Conception Vessel to regulate the menstruation, soothing the liver and tranquillizing the heart to regulate the spirit. Professor Hu selects the medicines which are simplified and condensed, and is good at using drugs. The prescriptions are persistent and flexible, concerning the balance.
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Objective:To explore the law of Chinese medicine patent compound prescription in treating diabetic retinopathy (DR).Methods:The patents of TCM compound for the treatment of DR Published in the patent database of China National Knowledge Resource Database (CNKI) from the establishment of the database to September 1, 2022 were searched and screened. The Ancient and Modern Medical Record Cloud Platform V2.0 was used to analyze the frequency of medication, nature, taste, and meridian distribution, and the rules of compatibility of medication were mined and analyzed based on association rules and cluster analysis.Results:A total of 113 compound patents were included, involving 201 kinds of Chinese materia medica. The top five drugs in frequency of use were Rehmanniae Radix, Notoginseng Radix et Rhizoma, Angelicae Sinensis Radix, Ganoderma and Astragali Radix. Their properties were mostly cold and warm, and their tastes were sweet and bitter. The top three meridians were liver meridian, lung meridian and kidney meridian. Six pairs of commonly used drugs were obtained, and four kinds of medicines were obtained by clustering analysis. Complex network analysis showed that core TCM combination was Rehmanniae Radix, Notoginseng Radix et Rhizoma, Angelicae Sinensis Radix, Ganoderma, Astragali Radix, Salviae Miltiorrhizae Radix et Rhizoma, Lycii Fructus, Prinsepiae Nux, and Cuscutae Semen.Conclusions:TCM compound patents for the treatment of DR are mainly used to treat cold and liver meridian, and the medication is mainly used to replenish qi and nourish yin, clear heat and cool blood, promote blood circulation and remove blood stasis, and tonify liver and kidney. The drug pairs are mainly used to supplement qi and nourish yin, clear heat and detoxify, invigorate qi and nourish blood, and invigorate qi and stop bleeding. The modified Danggui Buxue Decoction and Siwu Decoction are often used in treatment, and wind drugs are added as appropriate to soothe liver and improve eyesight, which can provide reference for clinic.
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Objective:To analyze the medication and compatibility law of TCM compound patents in the treatment of diabetic nephropathy (DN) based on data mining method; To provide basis for research and development of new drug in clinic.Methods:TCM compound patents for DN treatment were retrieved from national patent platform. Excel 2019 was used to conduct statistical analysis on drug frequency, property and taste and meridian. SPSS Modeler 18.0 and SPSS Statistic 26.0 were used for drug association rules and clustering analysis. The complex network of co-occurrence of core drugs was constructed with Cytoscape 3.9.0, and the potential of the correlation between new prescriptions and drugs was demonstrated.Results:A total of 261 TCM compound patents were included, including 438 kinds of Chinese materia medica. High-frequency drugs included Astragali Radix, Rehmanniae Radix, Salviae Miltiorrhizae Radix et Rhizoma, Lycii Fructus, etc. Drug categories were mainly deficiency tonic drugs. The properties and tastes were mainly cold and sweet, and the meridians were mainly liver and kidney meridians. The commonly used medicinal pair was Ganoderma-Rehmannine Radix. The commonly used triple medicinal combination was Notoginseng Radix et Rhizoma-Angelicae Sinensis Radix-Ganoderma. There were 7 groups of clustering medicines, including Notoginseng Radix et Rhizoma, Ganoderma, Angelicae Sinensis Radix, Euryales Semen, Rehmanniae Radix and Lycii Fructus. There were 5 groups of potential medicines, including Campsis Flos-Caulis Tinosporae Sinensis-Kalopanacis Radix-Fimbristylis Rigiduta Nees-Padicularisdis Dissectae Radix -Korshinsk Peashrub-Alismatis Fructus-Cynanchi Wallichii Radix. The core new prescriptions for treating DN were obtained through topological attribute analysis and screening.Conclusions:The national TCM compounds patents treatment for DN is based on the pathogenesis of this disease, which is characterized by deficiency in nature and excess in superficiality. It often uses methods such as tonifying qi and spleen, nourishing yin and tonifying kidney, promoting blood circulation and resolving blood stasis to improve clinical efficacy, providing ideas for the development of new drugs.
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Objective:To study the relationship between the symptoms and medication law of fever treated with modified Zhuye Shigao Decoction by means of data mining.Methods:Clinical medical records of modified Zhuye Shigao Decoction for the treatment of fever were retrieved from CNKI, VIP, Wanfang Data, CBM from the establishment of the databases to October 31, 2022. Excel 2019 was used to conduct statistics on symptoms and drug frequency. SPSS Modeler 18.0 and SPSS Statistics 25.0 were used to build complex networks and system clusters, and R 4.2.1 was used to analyze the association rules of the database. Results:A total of 163 medical records were included, involving 143 symptoms, mainly fever, anorexia, thirst, upset, sweating, etc; 40 tongue and pulse conditions, mainly including pulse number and red tongue; 163 kinds of Chinese materia medica were involved, including 9 main kinds of Chinese materia medica. The frequency and complex network of Chinese materia medica indicated that the main medicines for fever were the original prescriptions of Zhuye Shigao Decoction, and the commonly used doses were Folium Phyllostachydis Henonis 10 g, Gypsum Fibrosum 30 g, Ginseng Radix et Rhizoma or Codonopsis Radix 10 g, Ophiopogonis Radix 15 g, Pinelliae Rhizoma 10 g, Glycyrrhizae Radix et Rhizoma 6 g, and Oryzae Semen 15g; According to the clustering analysis of compatibility drugs, five core compatibility combinations were obtained. "Forsythiae Fructus→Lonicerae Japonicae Flos", "Adenophorae Radix→dry mouth" had strong correlation.Conclusion:The syndrome types of fever treated by Zhuye Shigao Decoction were unclear exogenous heat-qi and yin injury, phlegm and heat obstructing the lung, excessive heat in the interior-fluid deficiency and heat stagnation, stomach yin deficiency and fire hyperactivity, spleen and stomach weakness-edema due to yang deficiency; the cause of fever treated by Zhuye Shigao Decoction could originate from any of the three energizers, and the disease location was mainly in the stomach.
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Objective:To explore the prescription and medication law of Traditional Chinese Medicine (TCM) compounds in the treatment of vascular dementia (VD) based on patent database.Methods:TCM compounds with patents about VD were retrieved from Chinese patent announcement website of the State Intellectual Property Office and CNKI. The retrieval time was from the establishment to the databases to 31 st, March 2022. The frequency, clusteringand association analysis were carried out with the help of TCM inheritance auxiliary platform (V2.5). The medication law was analyzed. Results:154 TCM compound patents for the treatment of vascular dementia were screened, involving 227 kinds of Chinese materia medica. Among them, Acori Tatarinowii Rhizoma (44 times, 28.57%) was used more frequently, and the common medicinal pair was Salviea Miltiorrhizae Radix et Rhizoma- Acori Tatarinowii Rhizoma (17 times, 11.03%). The medicinal property was mainly warm, the taste was mainly sweet, and the meridian was mainly liver meridian. Those with high confidence based on association rules were " Corni Fructus -Acori Tatarinowii Rhizoma" (0.90), " Corni Fructus -Rehmannize Radix et Praeparata" (0.90). Based on the complex network, it was concluded that the core drugs were 14 groups such as " Rehmannize Radix et Praeparata- Cistanches Herba- Corni Fructus". The new prescriptions extracted by entropy cluster analysis included 7 groups such as " Rehmannize Radix et Praeparata, Cistanches Herba, Corni Fructus and Asparagi Radix". Conclusion:The treatment of VD by TCM compounds with national patents is mainly based on tonifying deficiency, promoting blood circulation and removing blood stasis, eliminating phlegm and dampness, expelling wind and dredging collaterals, opening orifices and resuscitation, which can provide reference for clinical practice and new drug research and development.
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Objective:To explore the macroscopic medication rule of Chinese medicine for the treatment of primary liver cancer and provide references for clinical medication. Method:The databases of CNKI，VIP， and Wanfang Data were searched for research articles published from September 1959 to June 2019 with the terms of "Chinese medicine" and "liver cancer". A database was established based on the collected Chinese medicinal prescriptions for the treatment of primary liver cancer. The frequency，clustering， and association rules were analyzed by Excel， etc. Result:In this study，106 effective articles were included，and after the modified prescriptions were removed， 92 effective prescriptions were screened out，involving 281 Chinese herbal medicines used for 1 181 times in total. The top 5 high-frequency drugs were Poria （deficiency-tonifying），Astragali Radix （heat-clearing），Bupleuri Radix （blood-activating and stasis-resolving），Paeoniae Radix Alba （urination-promoting and dampness-draining）， and Codonopsis Radix （Qi-regulating）. The analysis of drug flavor with a frequency higher than 10 showed that most of the drugs were sweet，bitter， and pungent in flavor，cold，warm， and plain in nature，and acted on spleen and liver meridians. Four combinations and 10 herbal pairs were obtained by the cluster analysis of high-frequency drugs and association analysis， respectively. The high-frequency drugs and potential herbal pairs were classified targeting the specific clinical syndromes in different stages of liver cancer. Conclusion:Replenishing Qi， invigorating spleen，clearing heat， removing toxin，activating blood， and resolving stasis were the basic principles for the treatment of primary liver cancer. The combination of those drugs was the main therapeutic strategy. In addition，the resulting 10 potential herbal pairs from high-frequency drugs and cluster analysis could inspire the clinical treatment of primary liver cancer in different clinical stages with various clinical syndromes， which was of reference value for the clinical medication.
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Objective:To analyze the data of Chinese medicine prescriptions for the treatment of coronavirus disease 2019 (COVID-19) in Shijiazhuang City, Hebei Province, with a view to further guide the clinical use of Chinese medicine in the prevention and treatment of COVID-19.Methods:Forty-eight patients diagnosed with COVID-19 who were treated by critical care team of Hebei Traditional Chinese Medicine Hospital in the intensive care unit (ICU) of Hebei Chest Hospital (Hebei Provincial COVID-19 designated hospital) from January 7 to March 4, 2021, were enrolled in this study. The patients' gender, age, clinical classification, past history, and all Chinese medicine prescriptions for the first visit and follow-up visits during the hospitalization were collected. A database was established based on the Ancient and Modern Medical Records Cloud Platform (V2.2.1), and the methods of frequency analysis, correlation analysis, cluster analysis, and complex network analysis were used to analyze the prescriptions of traditional Chinese medicine.Results:Among the 48 patients with COVID-19, 20 were males and 28 were females; the average age was (62.4±13.7) years old. The patients' condition was generally severe, including 17 cases of common type, 25 cases of severe type, and 6 cases of critical type, most of whom were combined with hypertension, coronary heart disease, diabetes, chronic obstructive pulmonary disease and other basic illnesses. A total of 146 valid prescriptions were included, involving 59 prescriptions and 115 Chinese medicines. Frequency analysis of 146 prescriptions showed that the commonly used prescriptions for patients with COVID-19 were Qingfei Paidu decoction (30 times, 20.55%), Xuanbai Chengqi decoction (10 times, 6.85%), and Dayuan Yin (10 times, 6.85%). The common Chinese medicines were liquorice (80 times, 54.79%), tuckahoe (76 times, 52.05%), gypsum (70 times, 47.95%), bitter almond (70 times, 47.95%), ephedra (57 times, 39.04%), scutellaria (56 times, 38.36%), tangerine peel (53 times, 36.30%), patchouli (50 times, 34.25%), atractylodes macrocephala (50 times, 34.25%), and bupleurum (43 times, 29.45%). The main effects were clearing heat and detoxification (129 times), clearing heat-fire (129 times) and eliminating dampness and diuresis (110 times). The medicinal properties were mainly warm (509 times), flat (287 times), and cold (235 times). The medicinal tastes were mainly pungent (765 times), sweet (654 times), and bitter (626 times). The medicinal channel tropism were mainly lung (1 096 times), spleen (785 times), and stomach (687 times). The correlation analysis showed that there were 17 drug combinations in total, among which the top 3 drug pairs in support were bitter almond-gypsum (0.43), ephedra-bitter almond (0.38), tangerine peel-poria (0.36), and ephedra-gypsum (0.36). Cluster analysis showed that there were 3 groups of clustering formulas. The first group was ephedra, bitter almond, and gypsum. The second group was patchouli, tuckahoe, tangerine peel, and atractylodes macrocephala. The third group was scutellaria, licorice, immature orange fruit, oriental waterplantain rhizome, bupleurum, ginger, and cassia twig. The core drugs were composed of tuckahoe, bupleurum, tangerine peel, atractylodes macrocephala, patchouli, bitter almond, scutellaria, gypsum, ephedra, and licorice.Conclusions:Middle-aged and elderly patients with COVID-19 are accompanied by Qi deficiency and internal invasion of toxins, and the pathogenesis evolves rapidly. Damp and turbid toxins often block the lungs and trap the spleen, leading to disorder of Qi movement, and even invaginate Ying and Xue, drain Yin and Yang. The treatment is based on removing turbidity and detoxification, and replenishing Qi and nourishing Yin are the principle treatments, so that the evil is eliminated and the Qi is restored.
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Objective:To summarize medication law of prescription and clinical experience on the treatment of chronic cough through data mining technology. Method:The formula information of 650 cases of chronic cough cases diagnosed and treated by professor HAN Ming-xiang was processed with data mining technology, and system cluster analysis and factor analysis were conducted by SPSS Statistics 22.0. Result:High-frequency medicines of professor HAN Ming-xiang for treating chronic cough were Stemonae Radix, Citri Reticulatae Pericarpium, Asteris Radix et Rhizoma and other 37 herbs, their frequency of occurrence accounted for 80.52%. According to the efficacy, the medicines could be classified into 10 categories, such as expectorant cough antiasthmatic drugs, tonifying deficiency drugs, and diaphoretic drugs. Cluster analysis showed 5 combinations of drugs. Factor analysis yielded 13 common factors, such as Stemonae Radix-Asteris Radix et Rhizoma-Farfarae Flos-Cynanchi Stauntonii Rhizoma et Radix, Asari Radix et Rhizoma-Schisandrae Chinensis Fructus-Zingiberis Rhizoma-Fritillariae Thunbergii Bulbus. Conclusion:Combined with clinical experience, it can be concluded that clinical treatment of professor HAN Ming-xiang for chronic cough attaches great importance to the pathogenesis of wind-evil, Yang deficiency and cold phlegm underlying lung, phlegm and blood stasis and Qi stagnation. The treatment mainly starts from the lung and spleen, with the method of warm and moist, or with some traditional Chinese medicines with the function of removing phlegm by warming the lung, dispersing cold by thinning the surface, strengthening the spleen and resolving phlegm, strengthening the lung and fixing the surface, and relieving spasmolysis by wind.
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To explore the regularity of traditional Chinese patent medicines for the treatment of hyperlipidemia recorded in Newly Edited National Chinese Traditional Patent Medicines,the Composition Principles of Chinese Patent Drugs,New Drug Conversion Standard,the Compilation of National Standard for Traditional Chinese Medicines and Chinese Pharmacopoeia. Researchers extracted the information of prescriptions from these cases according to the inclusion and exclusion criteria. Then microsoft excel 2010 was used to conduct frequency statistics and count the frequency of traditional Chinese medicine. SPSS Clementine( ver.12. 0) and SPSS( ver. 18. 0)were adopted respectively for frequency analysis,association rules analysis,cluster analysis and factor analysis. Besides,KMO test and Bartlett spherical test were performed for factor adaptation test. Finally,a total of 173 traditional Chinese medicines were included,involving 94 Chinese patent medicine prescriptions. The frequency results of traditional Chinese medicine showed that there were 33 kinds of high-frequency traditional Chinese medicine,mainly including those for tonifying medicine,activating blood and resolving stasis and blood-stasis,and clearing damp. The association rules analysis found out 12 association rules of drug pairs,3-herb pairs of 25 and4-herb pairs of 6. Totally 11 medicine groups with relevance were respectively extracted by cluster analysis. KMO test and Bartlett spherical test indicated that the method was suitable for factor analysis and 11 common factors were respectively extracted by factor analysis. The association rules reflected the therapeutic method for tonify the liver and kidney,activating blood and resolving stasis. Cluster analysis and factor analysis showed the therapeutic method of Qi-enriching and Yin-nourishing,and the factor analysis focused more on removing blood stasis and dampness. The decision tree with hawthorn as the dependent variable reflects the importance of alisma orientalis and fructus schisandrae in the drug matching. In conclusion,data mining technique can comprehensively analyze the regularity of prescriptions of traditional Chinese patent medicine for hyperlipidemia,and is helpful for guiding the development of Chinese patent medicines and the clinical practice of traditional Chinese medicine.
الموضوعات
Humans , Drug Prescriptions , Drugs, Chinese Herbal , Hyperlipidemias , Medicine, Chinese Traditional , Nonprescription Drugsالملخص
This paper was aimed to study medication laws of traditional Chinese medicine (TCM) towards rheumatoid arthritis (RA) based on modern medicine literatures. The China National Knowledge Infrastructure (CNKI), Wanfang Data knowledge service platform and VIP Database for Chinese Technical Periodicals were searched from January 2000 to December 2016 for relevant literatures on TCM for treatment of RA. The results showed that the database was established and the data were analyzed with statistics method including frequency analysis and cluster analysis. Finally, a total of 292 articles, 214 kinds of herbs were included, with a total frequency of 5071 for herbs. The results of frequency analysis, showed that tonic drugs, medicine for eliminating wind and dampness, drug for invigorating blood circulation and eliminating stasis were the main medications, followed by heat-cleaning drug, relieving external syndrome drug, and dampness-draining drug. The most common tastes of high frequency were sweet, pungent and bitter. The most common natures were warm and mild. The related meridians included the liver meridian, spleen meridian and kidney meridian. It was concluded that the cluster analysis showed medicines in the core group were as following: Astragalus, Licorice, Chinese angelica, Monkshood, Cassia twig, Coix seed, Radix saposhnikoviae, Radix gentianae macrophyllae, Notopterygium, Caulis spatholobi, Rhizoma ligustici wallichii, Twotooth achyranthes root, and Radix clematidis. The common combinations of RA drugs were summarized by association analysis. The medication law of RA treatment is to enrich consumptive disease and support healthy energy, to tonify the liver and kidney, to dispel wind and eliminate dampness, to remove blood stasis and dredge collaterals.