[Prescription and medication rules of traditional Chinese medicine for prevention and treatment of diabetic microangiopathy based on literature mining]

This study explored the prescription and medication rules of traditional Chinese medicine(TCM) in the prevention and treatment of diabetic microangiopathy based on literature mining. Relevant literature on TCM against diabetic microangiopathy was searched and prescriptions were collected. Microsoft Excel 2021 software was used to establish a prescription database, and an analysis was conducted on the frequency, properties, flavors, meridian tropism, and efficacy classifications of drugs. Association rule analysis, cluster analysis, and factor analysis were performed using SPSS Modeler 18.0 and SPSS Statistics 26.0 software. The characteristic active components and mechanisms of action of medium-high frequency drugs in the analysis of medication rules were explored through li-terature mining. A total of 1 327 prescriptions were included in this study, involving 411 drugs, with a total frequency reaching 19 154 times. The top five high-frequency drugs were Astragali Radix, Angelicae Sinensis Radix, Poria, Salviae Miltiorrhizae Radix et Rhizoma, and Rehmanniae Radix. The cold and warm drugs were used in combination. Drugs were mainly sweet, followed by bitter and pungent, and acted on the liver meridian. The majority of drugs were effective in tonifying deficiency, clearing heat, activating blood, and resolving stasis. Association rule analysis identified the highly supported drug pair of Astragali Radix-Angelicae Sinensis Radix and the highly confident drug combination of Poria-Alismatis Rhizoma-Corni Fructus. The strongest correlation was found among Astragali Radix, Angelicae Sinensis Radix, Poria, and Salviae Miltiorrhizae Radix et Rhizoma through the complex network analysis. Cluster analysis identified nine categories of drug combinations, while factor analysis identified 16 common factors. The analysis of active components in high-frequency drugs for the treatment of diabetic microangiopathy revealed that these effective components mainly exerted their effects by inhibiting oxidative stress and suppressing inflammatory reactions. The study found that the pathogenesis of diabetic microangiopathy was primarily characterized by deficiency in origin, with a combination of deficiency and excess. Deficiency was manifested as Qi deficiency and blood deficiency, while excess as phlegm-heat and blood stasis. The key organ involved in the pathological changes was the liver. The treatment mainly focused on supplementing Qi and nourishing blood, supplemented by clearing heat, coo-ling blood, activating blood, and dredging collaterals. Commonly used formulas included Danggui Buxue Decoction, Liuwei Dihuang Pills, Erzhi Pills, and Buyang Huanwu Decoction. The mechanisms of action of high-frequency drugs in the treatment of diabetic microangiopathy were often related to the inhibition of oxidative stress and suppression of inflammatory reactions. These findings can provide references for the clinical treatment of diabetic microangiopathy and the development of targeted drugs.

[Medication rule of traditional Chinese medicine for heart failure after myocardial infarction: based on data mining]

This study aims to explore the medication rule of traditional Chinese medicine(TCM) for heart failure after myocardial infarction via data mining. To be specific, articles on the treatment of the disease with Chinese medicine were retrieved from CNKI, Wanfang, VIP, and SinoMed and related information was collected. A database was created with Microsoft Excel 2019, and SPSS Clementine 12.0 and IBM SPSS Statistics 23.0 were applied for association rules analysis, cluster analysis, and factor analysis. Finally, a total of 81 TCM prescriptions were screened out, involving 91 medicinals with cumulative use frequency of 740. The main syndromes were Qi deficiency and blood stasis, Yang Qi deficiency and blood stasis together with retained morbid fluid, deficiency of both Qi and Yin and blood stasis. The medicinals with high-frequency were Astragali Radix, Salviae Miltiorrhizae Radix et Rhizoma, Ginseng Radix et Rhizoma, Poria, and Aconiti Lateralis Radix Praeparata. The effects of the medicinals were tonifying deficiency, activating blood and resolving stasis, and promoting urination and draining dampness. The association rules analysis yielded "Astragali Radix-Salviae Miltiorrhizae Radix et Rhizoma" "Astragali Radix-Aconiti Lateralis Radix Praeparata-Salviae Miltiorrhizae Radix et Rhizoma" "Aconiti Lateralis Radix Praeparata-Ginseng Radix et Rhizoma-Salviae Miltiorrhizae Radix et Rhizoma-Astragali Radix" combinations. Cluster analysis yielded 6 basic formulas for heart failure after myocardial infarction. Factor analysis extracted a total of 8 common factors. Heart failure after myocardial infarction is characterized by the syndrome of deficiency in nature and excess in superficiality. The core pathogenesis is "deficiency" "stasis" "retained morbid fluid", particularly "deficiency". This disease is closely related to the heart, lung, and spleen. The basic treatment principle is replenishing Qi and activating blood, and warming Yang, excreting water, and nourishing yin should also be emphasized. The common basic prescriptions, such as Siwu Decoction, Shengmai Powder, Xuefu Zhuyu Decoction, Linggui Zhugan Decoction, and Shenfu Decoction, have been discovered. This study provided data for clinical medication and drug development for heart failure after myocardial infarction.

Analysis on oral medication rules of traditional Chinese medicine prescriptions for prevention of COVID-19

Objective

To analyze the medication rules of traditional Chinese medicine (TCM) preventive oral prescriptions for COVID-19.

Methods

The preventive oral prescriptions for COVID-19 published by national and provincial health and wellness committees, administrations of TCM, medical institutions at all levels, medical masters and Chinese medicine experts were collected to establish a database, manual screening was carried out according to the inclusion and exclusion criteria, and frequency statistics, association rule analysis. The mutual information method, entropy hierarchical clustering and other methods were improved through Excel and the TCM inheritance auxiliary platform V2.5 to mine the rules and characteristics of medication.

Results

The selected 157 prescriptions contained a total of 130 TCMs. The top five TCMs with the highest use frequency were Glycyrrhizae Radix et Rhizoma (86), Astragali Radix (80), Lonicerea Japonicae Flos (70), Atractylodis Macrocephalae Rhizoma (62), Saposhnikoviae Radix (60). In accordance with TCM efficacy classification, most of them were medicines for qi-tonifying (279), followed by medicines for clearing heat and drying dampness (163), dispelling pathogenic wind-cold (126), resolving dampness (111), as well as dispelling pathogenic wind-heat (99). The characteristics of four-natures of the selected medicines are as follows: most of them were cold (59), followed by warm (38) and mild (21). In terms of five-taste, most of them were sweet (26) and acrid-and-bitter (24), followed by sweet-and-bitter (20), bitter (20) and acrid (15). For the meridian attribution, the five-zang organs and six-fu organs were all involved, most of them attributed to lung meridian (80), followed by stomach meridian (57) and spleen meridian (40). Based on association rule analysis, 12 commonly used medicine combinations with two or three TCMs were found. The commonly used medicinal pairs included Astragali Radix and Saposhnikoviae Radix (51), Astragali Radix and Atractylodis Macrocephalae Rhizoma (46), Atractylodis Macrocephalae Rhizoma and Saposhnikoviae Radix (43), Astragali Radix and Atractylodis Macrocephalae Rhizoma and Saposhnikoviae Radix (38), Forsythiae Fructus and Astragali Radix (37), and so on. In addition, 14 core combinations of medicines were obtained by complex system entropy cluster analysis, on this basis, six new prescriptions were screened out based on unsupervised entropy hierarchical clustering analysis. According to The Catalogue of Edible Traditional Chinese Medicinal Materials, Traditional Chinese Medicinal Materials for Health Food, and New Resources of Food published by National Health Commission of the People’s Republic of China, there are 35 species belonging to the group of edible traditional Chinese medicinal materials, 20 species belonging to the group of new resources of food, 31 species belonging to the group of traditional Chinese medicinal materials for health food, 19.11% of the preventive oral prescriptions for COVID-19 were composed of the medicines belonging to the above three groups. Besides, there are 11 toxic species, and 24.84% of the preventive oral prescriptions for COVID-19 contained toxic TCMs.

Conclusion

We found that invigorating qi and resolving dampness were the main treatment used to prevent for COVID-19, combined with the methods for strengthening vital energy and eliminating pathogenic factors. Most of the preventive oral prescriptions for COVID-19 were treated in lung, spleen and stomach meridians. In the process of selecting prescriptions and using TCMs to prevent for COVID-19, the safety of preventive medicines was also emphasized. And the theory of “Preventive Treatment of Disease” was embodied in these preventive oral prescriptions for COVID-19. For the prescriptions containing toxic TCMs, special attention should be paid to their safety in clinical application.

[Study on syndrome differentiation of ancient arthralgia syndrome and drug use rules based on latent structure model]

In this study, the ancient doctors' concentrated prescriptions for arthralgia syndrome were collected and Lantern 3.2 software was used to construct and analyze the latent structure model of ancient arthralgia syndrome. A total of 10 syndrome types of ancient arthralgia syndrome were obtained, namely, cold-coagulation meridian syndrome(partial Yang deficiency), cold-dampness obstruction syndrome(cold weight), damp-heat obstruction syndrome, liver and kidney deficiency syndrome, essence deficiency syndrome, phlegm and blood stasis syndrome, spleen and stomach Qi deficiency syndrome, dampness evil accumulation syndrome, arthralgia meridian syndrome, cold-dampness binding lung syndrome, meridian obstruction syndrome, and wind-cold-dampness arthralgia syndrome(both wind-cold and dampness). This syndrome differentiation method further strengthened the thought on eight-class syndrome differentiation, and showed the characteristics of different syndrome differentiation types of the core drugs in the latent structure model, which was mainly reflected in paying attention to removing blood stasis and eliminating phlegm with use of pungent taste products having dispersing effect, emphasizing the effect of nourishing Yin and generating marrow to supplement congenital deficiency, invigorating spleen and replenishing Qi to regulate the spleen and stomach functions, nourishing vital energy and expelling evil. In addition, Python 3.7 software was used to mine the frequent item sets and association rules for the frequently used drugs for ancient arthralgia syndrome. The drug compatibility law is characterized by making good use of blood-nourishing drugs. Blood-activating drugs are often compatible with cold-dispelling drugs, liver and kidney tonifying drugs, and wind-dampness-dispelling drugs, following the compatibility principle of dispelling wind and dispelling cold as well as tonifying liver and kidney. The induction of syndrome differentiation types of ancient arthralgia syndrome and the discussion on the characteristics of drug use and compatibility law provide a new way for clinical syndrome differentiation and treatment, with certain reference value for the research and development of new Chinese patent medicines.

[Analysis and monitoring of traditional Chinese medicines for tumor based on data mining]

The traditional Chinese medicine(TCM) decoction pieces for treating tumors in China-Japan Friendship Hospital in both outpatient and inpatient departments from January 1 to December 31, 2018 were analyzed in this paper, and the statistical analysis on the frequency and proportion of TCM decoction pieces, as well as the average dosage and dosage range were conducted. Such data were then compared with Chinese Pharmacopoeia. At the same time, data mining association rules were used to study the compatibility of TCM in oncology, and finally, the drug use in TCM was discussed. The top 20(use frequency) TCM decoction pieces for tumors were mainly based on tonic medicines; the use frequency of toxic TCM decoction pieces was low, mainly of small poisonous pieces, with dosage exceeding pharmacopoeia. The drug combinations with higher frequency included Fried Atractylodis Macrocephalae Rhizoma-Poria Cocos(16.11%), and Astragali Radix-Poria Cocos(15.10%). Drug pairs with strong associations included Achyranthes Bidentata→Parasitic Loranthus, Coix Seed→Achyranthes Bidentata, Achyranthes Bidentata→Hairyvein Agrimony, Cuscutae Semen→Achyranthes Bidentata and so on. According to the use of drugs, the drug monitoring can be emphasized from the aspects of usage and dosage, selection of processed TCM, compatibility, decoction methods, and patient education. Pharmacists can analyze the characteristics and regularity of the use of TCM for tumors through data mining methods, and this can be a cutting point for drug monitoring.

[Study on regularity of Tibetan medicine in treatment of gZav-Grib disease (apoplexy sequelae) based on HIS clinical medical records]

This research is launched to look for the medication rules and characteristics of Tibetan medicine in the treatment of gZav-Grib( apoplexy sequelae). HIS records of gZav-Grib patients were selected from the Tibetan Hospital of Tibet Autonomous Region and Tibetan Hospital of the city of Naqu. SPSS Modeler,Gephi and other data mining and visualization software were used to study the actual law of drug use in the treatment of gZav-Grib in Tibetan medicine. Finally,479 cases of gZav-Grib patients in Tibetan medicine were included. Their average age is 63 and average hospital stay was 32 days. In total,82 Tibetan medicine prescriptions were used for treating gZav-Grib. The frequency in the front is Twenty-flavor Chenxiang Pills( 338 times),Ruyi Zhenbao Pills( 322 times),and Seventy-flavor Zhenzhu Pills( 315 times). According to the regularity of Tebitan medicine,they were applied in different time periods including the early morning,morning,noon,and evening,for example,in the early morning: Seventy-flavor Zhenzhu Pills,morning: Ruyi Zhenbao Pills,noon: Eighteen-flavor Dujuan Pills,evening: Twenty-flavor Chenxiang Pills. In the clinical joint,18 groups were found in the 10% support and 70% confidence. There are two prescriptions confidence more than 80% which nature focus on Gan,Ruan,Xi,Liang,Dun,Han,Wen. gZav-Grib of Tibetan medicine can be divided into two types: r Lung-Grib type and k Hrag-Grib type,in which the medicine of r Lung-Grib type takes Seventy-flavor Zhenzhu Pills as the core prescription,while the medicine of k Hrag-Grib type takes Ruyi Zhenbao Pills as the core prescription. It is found that the treatment of gZav-Grib by Tibetan medicine is mainly dominated by the treatment idea about " Therapeutic r Lung and blood,Consideration of venous diseases". Treatment functions is promoting the circulation of Qi,clearing blood heat and getting rid of bad blood,achieving the purpose of treating both principal secondary aspect of gZav-Grib. The research methods based on the HIS can't only optimize the Tibetan treating gZav-Grib sequela treatment plan and rule of medication,but also provide the scientific basis for Tibetan medicine treat gZav-Grib.

[Study on regularity of drug use in Tibetan medicine treating hypertension based on multi-center clinical medical records and "prescription-property-efficacy-disease"]

This study aimed to explore the rule of Tibetan medicine in clinical treatment of hypertension( k Hrag-rLung-stod-vtshangs) and analyze the characteristics of its prescriptions. One hundred and thirty-seven cases of hypertension treated Tibetan medicine were collected. Data mining,Gephi,Cytoscape and other methods and software were used to analyze the characteristics of Tibetan medicine. The results showed that there were 44 cases of r Lung-type hypertension in clinical medical records,while 57 cases of k Hrag-type hypertension. There were 103 treatment prescriptions. The frequency of these prescriptions covered Twenty-five Yuganzi Pills( 96 times),Seventy Pearl Pills( 80 times),Eight Chenxiang Pills( 75 times),and Sanwei Ganlu Powder( 62 times),and they were highly correlated,with confidence greater than 95%. There were 332 prescriptions involved in the prescriptions which is core prescription medicines. This study first proposed the dosage analysis method of Tibetan medicine prescription medicines,and obtained the more dosage of Chebulae Fructus,Phyllanthi Fructus,Aucklandiae Radix,Aquilariae Lignum Resinatum and so on. The correlation analysis of the prescription medicines found that Carthami Flos,Myristicae Semen,Bambusae Concretio Silicea,Caryophylli Flos,Amomi Fructus Rotundus led by Tsaoko Fructus had a high correlation and a confidence greater than 75%. These herbs were guaranteed when Tibetan medicine was used in combination. The key drugs for protecting viscera and regulating the three gastric fires. The prescription is mainly cold,blunt,sparse and rough. Its efficacy focuses on the pathogenesis of blood fever,blood stickiness and venous blockage caused by heat,sharpness,odor and stickiness. It mainly treats Tibetan medicine diseases such as k Hrag-r Lung-stod-vtshangs and k Hrag-vpel( polyemia). It is suggested that Tibetan medicine has a three-in-one invisible treatment principle of " clearing blood-heat,opening vessel and regulating stomach-fire" in the treatment of hypertension,which attributed to both cardiovascular function and gastrointestinal metabolic function. This may be a significant and invisible knowledge of Tibetan medicine in the treatment of hypertension.

[Analysis on academic characteristics and medication rules of traditional Chinese medical master Liu Zu-yi for treating insomnia]

To analyze the academic characteristics and medication rules of traditional Chinese medical master Liu Zu-yi for treating insomnia. Totally 178 cases of insomnia treated by Professor Liu were collected,and the treatment data were input into traditional Chinese medicine inheritance support system( TCMISS) by using data mining methods,such as essential information,frequency statistics of symptoms,syndrome type statistics,extraction of syndrome elements,frequency statistics of drugs; and four properties and five tastes of drugs,distribution of meridians,regularity of prescriptions,new prescription analysis were mined. It was found that the most commonly used drugs( over 100 times) were Albiziae Cortex,Longgu,Polygoni Multiflori Caulis,Ostreae Concha,Ziziphi Spinosae Semen,Crataegi Fructus; the commonly used couplet medicines were Longgu-Ostreae Concha,Ziziphi Spinosae Semen-Polygoni Multiflori Caulis,Ziziphi Spinosae Semen-Albiziae Cortex-Polygoni Multiflori Caulis; and seven new prescriptions in treating insomnia were explored,such as prescriptions containing Hordei Fructus Germinatus,Ziziphi Spinosae Semen,Galli Gigerii Endothelium Corneum,Rehmanniae Radix,Lilii Bulbus. Based on the introduction and discussion of Professor Liu's academic views and characteristics on insomnia treatment and the illustrative evidences added to the typical case list,this paper combines the academic characteristics,data support and typical medical records to verify each other,and objectively summarizes his academic experience for treating insomnia. Treatment shall focus on the primary cause of disease in three aspects; syndrome differentiation shall distinguish between excessive disease and deficient disease; therapy shall reinforce deficiency and reduce diarrhea,regulate the five internal organs,and emphasizes the heart and liver,particularly the liver; medication shall focus on the drugs for calming the mind and protecting the stomach and spleen,which are commonly combined with three types of traditional Chinese medicine with effect in introducing Yangqi( Pinelliae Rhizoma Praeparatum,Prunellae Spica,Polygoni Multiflori Caulis) and restraining Yangqi( Longgu,Ostreae Concha,Ziziphi Spinosae Semen); nursing care focuses on preserving the body and tranquilizing the mind by means of three methods for tranquilizing the mind and three methods for preserving the body.