Mining pharmacovigilance signals for asthma adverse events in underage population based on the FAERS database / 药物流行病学杂志

Objective To conduct data mining of asthma-inducing medications in underage populations based on the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database,so as to provide reference for the clinical application of related medications.Methods Adverse drug event(ADE)reports from the first quarter of 2013 to the fourth quarter of 2022 in the FAERS database were collected and screened for reports of asthma adverse events in the this population(under 18 years old),which were categorized into infants,toddlers,children,and adolescents according to different age groups,and were subjected to medication signal mining by using the reporting odds ratio method,the composite standardized method,and the information component method.Results A total of 1 915 reports were obtained after screening,involving 1 042(54.41％)males and 831(43.39％)females;the highest percentage of the reporting population was between 12 and under 18 years old,with a total of 762(39.79％);60.78％of the reports were reported by health professionals;and the results of the clinical referrals showed that serious adverse events occurred in 85.90％of the cases.306 suspected drugs were screened,52 drugs were determined to be valid signals,and 1 044 adverse events were reported,of which 16 drug inserts did not mention the risk of asthma,in order of elosulfatase alpha,canakinumab,tobramycin,vancomycin,ceftriaxone,cetirizine,phenylephrine,imiglucerase,cefuroxime,betamethasone,atropine,tadalafil,riscovastatin,cyclophosphamide,octreotide,and omeprazole.Conclusion The FAERS database was mined for adverse drug event signals and evaluated using the proportional disequilibrium method to identify 16 medicines that may trigger pharmacogenetic asthma and are not documented in the specification,which can be used to provide a good early warning for the clinic.At the same time,focusing on special populations,strengthening the assessment of lung function before medication and monitoring during and after medication,timely interventions were taken to reduce the harm of drug-derived adverse reactions and ensure the safe use of medication.

Data mining of hematological adverse events related to antibody-drug conjugate based on FAERS / 药物流行病学杂志

Objective Based on the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database,data mining was conducted on hematological adverse events related to antibody drug conjugates(ADC),providing reference for the safe use of ADC drugs in clinical practice.Methods The report data from the third quarter of 2011 to the fourth quarter of 2022 were retrieved from the FAERS database.After data cleaning such as deduplication and name standardization,extract hematological adverse events related to ADC,and use report odds ratio method and the information component method for signal detection.Results A total of 101 610 adverse event reports were extracted,with 8 ADC drugs as the primary suspected drugs,and 5 768 ADC related hematological adverse event reports.Among them,3 423 cases of agranulocytosis were involved,and the signal intensity from strong to weak were sacituzumab govitecan(SG),gemtuzumab ozogamicin(GO),brentuximab vedotin(BV),polatuzumab vedotin(PV),enfortumab vedotin(EV),trastuzumab deruxtecan(TD),inotuzumab ozogamicin(IO)and ado-trastuzumab emtansine(TDM-1).There were 2 327 cases hematopoietic cell deficiency,with signals ranging from strong to weak were IO,SG,BV,EV,PV,TD,TDM-1,and GO.Report with clinical outcome of death of ADC drug related hematological adverse events included BV 179(16.84％),TDM-1 102(13.01％),TD 88(27.08％),GO 12(16.90％),IO 8(11.59％),EV 54(24.32％),PV 22(27.16％),and SG 84(21.05％).Adverse event time analysis showed that the number of events on the first day of TD,IO,and SG medication accounts for ≥ 40％of the total number of cases.The median time of hematological adverse events in TD,GO,IO,EV,PV,and SG was within one treatment course(21 days).Conclusion Attention should be paid to the risk of ADC drug-related hematological adverse event,during the clinical medication process,blood cell count changes should be closely monitored,and any abnormalities should be promptly diagnosed and treated.

Research on signal mining of adverse events of tizanidine based on FAERS database / 药物流行病学杂志

Objective Based on U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database,the signal mining of tizanidine adverse drug events(ADEs)was conducted to explore the occurrence characteristics of ADE,hoping to provide references for the safe clinical application of tizanidine.Methods The reporting odds ratio(ROR)and medicines and healthcare products regulatory agency methods(MHRA)were used to analyse the ADE of tizanidine using FAERS registration data from the first quarter of 2004 to the second quarter of 2022.After valid signals were obtained,the MedDRA was used for translation and system organ classification.Results A total of 7 135 reports of tizanidine ADE were obtained,including 1 732 patients,1 304 ADE types were involved.According to the results of 2 ADE signal mining methods,at the preferred term(PT)level,177 signals were detected.There were 32 PT signals not included in the drug instructions,including potassium wasting nephropathy,cardio-respiratory arrest,and foetal growth restriction etc.In 1 732 patients,the number of ADE cases of female was 2.37 times that in male(1 057 vs.446),and the age group between 40 and 64 accounted for a large proportion(36.03％).The highest proportion(32.79％)reported by consumers.The system organ class involved mainly included various neurological diseases and psychosis.The median time to onset of tizanidine-related ADEs was 75 d(interquartile range:28-223 d),but it was necessary to be vigilant that ADE may still occur 1 year after starting the drug(13.38％).Conclusion This study aims to suggest that clinical application of tizanidin-related ADE should be paid full attention to the occurrence of ADE such as potassium-wasting nephropathy and suicidally completed,as well as key populations such as women and patients of 40-64 years old.

Medication Rules for Hypertension with Preserved Ejection Fraction Heart Failure Based on Data Mining / 医学信息学杂志

Purpose/Significance By using data mining methods,the medication rules and prescription characteristics of traditional Chinese medicine(TCM)for treating hypertension with preserved ejection fraction heart failure are discussed.Method/Process The da-tabase is established based on the TCMprescription information of hypertensive patients with preserved ejection fraction heart failure ad-mitted to the Cardiovascular Disease Department of the First Affiliated Hospital of Heilongjiang University of Chinese Medicine from Janu-ary 2019 to July 2022.SPSS Statistics and Moderler software are used to analyze the frequency,taste,meridian tropism,efficacy,associ-ation rules,clustering and factor analysis of the prescriptions to explore medication rules.Result/Conclusion TCMin the treatment of hy-pertension with preserved ejection fraction heart failure is mainly to replenish qi and spleen,nourish the heart and calm the mind,relieve phlegm,relieve cough and asthma,and pay attention to promoting blood circulation and removing blood stasis,promoting water infiltra-tion and dampness,which can reflect the overall concept of TCMand the characteristics of diagnosis and treatment based on syndrome dif-ferentiation and provide references for clinical medication.

Study on Online Doctor Response Adoption Prediction Based on Multimodal Data Mining / 医学信息学杂志

Purpose/Significance To use multimodal data analysis method to mine medical Q&A data in online healthcare platforms and predict whether patients will adopt online doctors'responses.Method/Process First,numerical,categorical,textual,and visual data related to doctor-patient Q&A are obtained from online healthcare platforms,and three datasets of acute disease,chronic disease and mixed disease are constructed according to disease types.Then,normalization,one-hot encoding,Med-BERT,and convolutional neural network are used respectively to process numerical,categorical,textual,and visual data.Finally,a gradient boosting decision tree is used to predict whether patients will adopt online doctors'responses.Result/Conclusion Doctors'profile pictures can improve the prediction effect of online doctor response adoption,and multimodal data mining can effectively predict the response adoption.

Prescription Rule of Traditional Chinese Medicine in the Treatment of Diabetic Nephropathy via Data Analysis and Biofilm Interference / 医药导报

Objective To analyze the medication rule of Traditional Chinese Medicine(TCM)in treating diabetes nephropathy(DN)and to explore the interaction between core components and key targets.Methods Based on the ancient and modern medical case cloud platform,the medication rules of TCMs and the drug pairs with the highest frequency in treating DN were summarized.Then the network pharmacology approach was utilized to analyze the pharmacodynamic material basis and mechanisms of the highest frequency-drug pairs.The potential targets were predicted by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)databases.TTD,DISGENET,and GENECARD databases were used to obtain the related targets of DN and screen out the potential targets for DN.In order to clarify the relationships between the active ingredients,the core targets,and pathways,STRING and Cytoscape 3.7.1 software were used to construct the protein-protein interaction(PPI)network and core drugs-ingredients-targets-disease interaction network,DAVID database was screened for Kyoto Encyclopedia of Genes and Gnomes(KEGG)enrichment analysis of core targets.Sybyl 2.1 software and biofilm interference verify the combined capacity between the core ingredients and key targets.Results Among 183 prescriptions,Astragali Radix had the highest use frequency and average dose,43 times and 37 g,respectively,followed by Salviae miltiorrhizae Radix and Poria cocos.To find the core combined with the highest confidence in association analysis was astragalus,salvia miltiorrhiza,and tuckahoe.Correlation analysis indicates that the core combination with the highest confidence was Astragali Radix-Salviae miltiorrhizae Radix-Poria cocos.Network pharmacologic showed 89 potential targets and 15 key signaling pathways for the treatment of DN by the drug pair.TNF signaling pathway,Nod-like receptor signaling pathway,and MAPK signaling pathway were disease-related pathways,and IL-6,TNF,and vascular endothelial growth factor A(VEGFA)were core targets.Isorhamnetin and quercetin of the drug pair had high binding ability with IL6,the scores were 8.2 and 7.4,respectively,and the dissociation constants(KD)were 5.6×10-5 mol·L-1 and 6.8×10-5 mol·L-1,respectively.Conclusion This study preliminarily finds the prescription rule of treating DN with Astragali Radix-Salviae miltiorrhizae Radix-Poria cocos as the core drug pair,isorhamnetin,and quercetin are probably the main active compounds of this drug pair in DN treatment,which provides a basis for clinical treatment and drug discovery of DN.

Signal Mining Study of Adverse Reaction Associated with Allopurinol and Febuxostat Based on FDA Adverse Events Reporting System(FAERS)Database / 医药导报

Objective To conduct signal mining of adverse events(AEs)of allopurinol and febuxostat based on FAE-RS database,and to explore their potential drug risks and promote rational and safe clinical drug use.Methods The adverse event report data of febuxostat and allopurinol in 22 quarters from the first quarter of 2017 to the second quarter of 2022 were ex-tracted from FAERS database,and the signal mining of febuxostat and allopurinol adverse events(AE)was carried out using ROR method and PRR method.Results There were 5 060 AE reports for allopurinol,concentrated in patients aged≥60 years,in-volving 25 items of system organ classification(SOC),mainly in skin and subcutaneous tissue diseases(40.01%).It was found that 12 SOC categories were not mentioned in the instructions.For febuxostat,there were 905 AE reports,involving 17 SOC items,mainly in cardiac organ diseases(40.17%),and 2 items were not involved in the instructions.Allopurinol and febuxostat were as-sociated with infection and infectious diseases(5.51%,0.49%)and hepatobiliary diseases(5.35%,0.87%),However,these as-sociations were included in the instructions of allopurinol.Allopurinol was associated with the reproductive system and breast dis-eases(0.55%),pregnancy,puerperium and perinatal conditions(0.03%),but febuxostat was not found to be involved in the a-bove SOC.Conclusion The inclusion of adverse reactions in the instructions for allopurinol is relatively inadequate compared to buprostat,and the newly discovered involvement of systemic organs and AE can provide a reference for improving allopurinol in-structions.This study found that allopurinol and febuxostat allopurinol and febuxostat involved system differences,which can pro-vide reference for clinical individualized treatment.

Analysis of the application characteristics of the acute liver injury animal model based on data mining / 中国比较医学杂志

Objective To investigate the modeling elements of various types of animal models for acute liver injury,and to provide references and suggestions to establish and evaluate animal models of acute liver injury(ALI).Methods The animal experimental literature of ALI from 2002 to 2022 was searched in the databases of the China Knowledge Network,WanFang,Chongqing Vip(VIP),Chinese Medical Journal Full Text Data(Yiigle),and PubMed.The animal species,positive control drugs,modeling method,modeling drugs,and drug administration of the animal models of ALI in the literature were summarized.The result were analyzed using Excel,SPSS Modeler 18.0,and Cytoscape 3.8.2.Results A total of 896 articles were included in the databases.The most used animal models for ALI were male KM mice.The modeling method were mainly chemical liver injury,alcoholic liver injury,drug-related liver injury,and immune liver injury.①The corresponding main modeling method were intraperitoneal injection of 10 mL/kg of 0.1％CC14 in vegetable oil at 24 h before experiments,②gavage of 12.0 mL/kg of 50.0％～56.0％ethanol at 16 h before experiments,③intraperitoneal injection of 300 mg/kg APAP at 24 h before experiments,④tail vein injection of 20 mg/kg Con A at 8 h before experiments.Evaluation of the models was based on liver pathological indexes as the gold standard combined with biochemical indexes of serum ALT,AST,and SOD and MDA contents and activities in liver tissue homogenate as direct indicators.Conclusions Because the causes of ALI vary in clinical practice,the preparation of animal models of ALI should be based on the specific study content and characteristics,and the corresponding modeling method should be selected.

Signal mining and analysis of temozolomide adverse events based on FAERS datadase / 中国药师

Objective To mine temozolomide-related adverse drug event(ADE)signals in the real world and to provide a reference for the safe clinical use of temozolomide.Methods The U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)was used to collect the ADE reporting data of temozolomide in the FAERS database from January 1,2004 to December 31,2022.The signal mining was performed using the report ratio method and Bayesian confidence interval progressive neural network method to analyze the occurrence of ADE.Results In the database,there were 24 725 ADE reports with temozolomide as the primary suspected drug,and a total of 300 ADE signals were identified,involving 23 system organ categories,and the top 5 were blood and lymphatic system diseases,systemic diseases and various reactions of administration sites,various examinations,various neurological diseases,various injuries,poisoning and procedural complications etc.the most frequently reported ADE signals included thrombocytopenia,low platelet count,neutral granulocytopenia,pancytopenia,convulsive attacks,and febrile neutropenia.42 new suspected adverse reactions were discovered,which were not recorded in the instructions,such as pseudomonas skin infection,herpetic meningoencephalitis,hypoglossal nerve paralysis,porokeratosis,etc.Conclusion The common adverse reactions of temozolomide in the real world are generally consistent with the instructions,but some new suspicious adverse reactions have been discovered.During clinical drug use,special attention should be paid to these new adverse reactions,and it is recommended to monitor patients'adverse reactions and take appropriate measures in a timely manner.

Research on the value of time control mode in the operation management of blood separator / 中国医学装备

Objective:To establish a time control mode for component blood collection and to discuss its application value in the operation management of blood separator.Methods:The causes for delay in blood separation time in blood component collection were analyzed,the correlation between influencing factors and time control level was analyzed by using data mining algorithm,and time control management countermeasures were developed by running time prediction.A total of 600 blood donors and 17 blood separators in clinical use in Shanghai Xuhui District Central Hospital from 2019 to 2022 were selected and divided into a control group(300 blood donors,14 blood separators)and an observation group(300 blood donors,15 blood separators,including 12 of control groups and 3 newly added)according to different management modes.The control group adopted the quality control mode,the observation group adopted the time control mode.The number of problems,the proportion of delay,the number of satisfied people and the assessment results of relevant medical staff in the blood component collection process were compared between the two groups.Results:The number of blood donors with problems related to equipment,medical consumables,medical staff and blood donors during the blood component collection process in the observation group was 11(accounting for 3.7%),17(accounting for 5.7%),7(accounting for 2.3%)and 18(accounting for 6.0%),respectively,which were lower than those in the control group,the difference was statistically significant(x2=7.192,6.822,8.153,11.405,P<0.05).The number of blood donors whose blood separators were in normal operation,apparent delay and significant delay in the observation group were 236(accounting for 78.7%),46(accounting for 15.3%)and 18(accounting for 6.0%),respectively,and the proportions of normal operation were higher than those in the control group,the proportions of apparent delay and significant delay were lower than those in the control group,the difference was statistically significant(x2=17.821,7.131,8.549,P<0.05).The proportion of blood donors satisfied was 284(accounting for 94.7%)in the observation group,which was higher than that in the control group,the difference was statistically significant(x2=30.171,P<0.05).The assessment score of medical staff involved in blood donors in the observation group was(91.14±4.86),which was higher than that in the control group,the difference was statistically significant(t=4.587,P<0.05).Conclusion:Time control mode can control the probability of the problems in the operation of blood separator,shorten the delay time of blood separator operation,improve blood donation experience of blood donors and blood collection service quality,and improve the professional level of medical staff.

Study on Zhang Yunling's Medication Law in Treating Headache Based on Data Mining / 中国中医药信息杂志

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.

Analysis on National TCM Master Yan Zhenghua's Medication Rules of Ascending,Descending,Floating and Sinking Properties for the Treatment of Respiratory Diseases / 中国中医药信息杂志

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".

Discussion on Medication Law of TCM External Treatment for Chronic Kidney Disease-associated Pruritus Based on Data Mining / 中国中医药信息杂志

Objective To explore the medication law of TCM external treatment for chronic kidney disease-associated pruritus(CKD-aP)by data mining technology.Methods Literature of TCM external treatment for CKD-aP was retrieved from China Knowledge Network(CNKI),VIP Chinese Journal Service Platform(VIP),Wanfang Data Knowledge Service Platform(Wanfang Data),and China Biology Medicine(CBM)since the establishment of the databases to March 31,2023.After screening according to the inclusion criteria,the final inclusion in the literature was determined,effective prescriptions were extracted,and entered into Excel 2019 to establish a prescription database.Excel 2019,SPSS Modeler 18.0,Origin 2021,and Gephi 0.10 softwares were used to perform frequency statistics,gender and taste meridian statistics,association rule analysis,and clustering analysis on prescription drugs.Results Totally 103 effective prescriptions were included,involving 133 kind of Chinese materia medica,with a total frequency of 978 times and 28 drugs with frequency≥10.The top 10 drugs were Dictamni Cortex,Kochiae Fructus,Sophorae Flavescentis Radix,Angelicae Sinensis Radix,Cnidii Fructus,Rhei Radix et Rhizoma,Chuanxiaong Rhizoma,Smilacis Glabrae Rhizoma,Saposheikovize Radix and Schizonepetae Herba,with cold and warm as the main properties,bitter,pungent,and as the main sweet tastes,and liver,heart,stomach,and spleen meridians as the main meridians.The association rule analysis yielded 34 groups of commonly used drug pairs.Clustering analysis obtained 4 clusters of prescriptions.Conclusion TCM external treatment for CKD-aP is mostly based on draining wind and clearing heat,drying dampness and relieving itching,nourishing blood and dispelling wind.The commonly used drugs are Dictamni Cortex,Kochiae Fructus,Sophorae Flavescentis Radix,and Angelicae Sinensis Radix,and the commonly used prescriptions include modified Shechuangzi Powder,Danggui Yinzi Decoction,Mahuang Guizhi Decoction and Xijiao Dihuang Decoction.

Analysis on Medication Law of Wu Liqun in the Treatment of Tic Disorders Based on Complex Network / 中国中医药信息杂志

Objective To explore Professor Wu Liqun's medication law for treating tic disorders in children.Methods Medical records of tic disorders children treated by Professor Wu Liqun from September 2016 to October 2022 were collected,and a database was established.SPSS Statistics 23 was used for frequency statistics,and Liquorice software was used for multi-scale backbone network analysis and multi-layer core network analysis to summarize the medication law.Results Totally 709 medical records were included,involving 834 prescriptions and 203 kinds of Chinese materia medica.The drug categories were mostly tonic drugs,heat-clearing drugs,and liver-pacifying and wind-relieving drugs.The properties of the drugs were mainly warming,cold,and mild,and the meridians were mostly in the lung,liver,and spleen meridians.Complex network analysis showed that the core prescription consisted of 20 kinds of Chinese materia medica,such as Angelicae Sinensis Radix,Paeoniae Radix Alba,Chuanxiong Rhizoma,Codonopsis Radix,and 30 groups of commonly used medicine pairs and commonly used medicines with different symptoms and commodities were obtained.Conclusion Professor Wu Liqun's treatment for tic disorders in children focuses on treating"liver wind",evacuating external wind to cut off the course of the disease,soothing the liver and subduing yang to extinguish internal wind,paying attention to regulating liver qi,nourishing yin and soothing the liver,nourishing blood and extinguishing wind.

Analysis on the Medication Law of Gu Shizhe in the Treatment of Insomnia Based on Data Mining / 中国中医药信息杂志

Objective To discuss the medication law of Professor Gu Shizhe in the treatment of insomnia based on various data mining techniques.Methods Clinical information of patients of Professor Gu was collected from the hospital management information system of outpatient clinic of Beijing University of Chinese Medicine(BUCM)and BUCM Famous Elderly TCM Inheritance Research Integrated Platform from January 2018 to October 2022.Professor Gu's books,such as Zhi Zhen Zhi Yao,and Gu Jisheng,Gu Shizhe Yi An Yi Hua Jing Cui,and the medical records from CNKI were screened.WPS Office 5.2.1 was used to build a database of medicine data for Professor Gu's TCM prescriptions,and R 4.2.1 was used for descriptive analysis and Apriori association rule analysis.SPSS Statistics 26.0 was used for clustering analysis,combined with theoretical analysis,to extract Professor Gu's medication law and characteristics in the treatment of insomnia.Results A total of 307 prescriptions were included,involving 250 kinds of Chinese materia medica,among which 30 were high-frequency drugs.The top 5 most frequently used were Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle,Fossilizid,Poria,Bupleuri Radix,and Ziziphi Spinosae Semen.The meridians were mainly liver and lung meridian,and the properties were mainly warm and cold,and the tastes were mainly sweet and bitter.Five core drug groups were obtained by clustering analysis,including Xiaochaihu Decoction,Erchen Decoction,Huanglian Wendan Decoction,Suanzaoren Decoction,Xiaoyao Powder and other prescriptions.Conclusion The characteristics of Professor Gu's treatment of insomnia are to reconcile Shaoyang,clear the heart and soothe the mind;pay attention to yin and yang,regulate the liver;pay attention to the liver,gallbladder,spleen and stomach;the main idea of syndrome differentiation is to reconcile Shaoyang,run the Shaoyang cardinal,and at the same time regulate qi and benefit qi and nourishes yin.

Study on Data Mining of Cough Medical Records Treated by Xin'an Doctors Based on Syndrome-drugs / 中国中医药信息杂志

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.

Study on Application Law of Stimulation Parameters of Transcutaneous and Transcranial Electrical Stimulation for Post-Stroke Movement Disorders Based on Data Mining / 中国中医药信息杂志

Objective To explore the application low of stimulation parameters of transcutaneous electrical acupoint stimulation(TEAS)and transcranial direct current stimulation(tDCS)for post-stroke movement disorders based on data mining.Methods The relevant clinical research literature was retrieved from CNKI,Wanfang Data,VIP,CBM,PubMed and Web of Science from January 2000 to May 2023.A database was set up after quality assessment.Frequency analysis,association rules and complex network analysis were used to explore the application law of core acupoints and electrical stimulation parameters.Results A total of 79 articles were included and 128 groups of data were contained.For TEAS,the core acupoints included Waiguan(TE5),Shousanli(LI10),Zusanli(ST36),Hegu(LI4),Neiguan(PC6),Yanglingquan(GB34),etc.,while the most commonly used acupoint combinations of upper limb and lower limb were Shousanli(LI10)-Waiguan(TE5)and Yanglingquan(GB34)-Zusanli(ST36).Among the electrical stimulation parameters of TEAS,the frequencies used vary widely,and 100 Hz was most commonly used,while 2 Hz TEAS was also mainly used for stimulating acupoints located on upper limbs in the treatment of flaccid paralysis.The application of other electrical stimulation parameters was relatively consistent.The bidirectional symmetrical square-wave with 200-250 μs pulse-width was used in majority of studies.The stimulus intensity was mostly determined by patient tolerance.For tDCS,stimulation electrodes were often positioned on the projection of the primary M1,and the safe stimulus intensity was mostly set as 1 to 2 mA.Conclusion In the treatment of post-stroke movement disorders,appropriate acupoints and electrical stimulation parameters of TEAS should be determined on the muscle strength and muscle tension of stroke patients at different stages after stroke,particularly the selection of electric stimulating frequency.

Study on the TCM Medication Law of Asymptomatic Hyperuricemia Based on Data Mining / 中国中医药信息杂志

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.

Analysis on TCM Syndrome and Treatment Rule of Chronic Atrophic Gastritis Based on Data Mining / 中国中医药信息杂志

Objective To analyze the TCM syndrome and treatment rule for the treatment of chronic atrophic gastritis based on data mining;To provide reference for its clinical treatment.Methods With the help of the big data platform of evidence-based literature of TCM covering several dominant diseases in the field of digestion,literature on the experience of famous doctors,theoretical discussion and case reports in the treatment of chronic atrophic gastritis published from 1 January 2000 to 31 July 2022 was retrieved.Medical records were screened according to the inclusion and exclusion criteria.The data of TCM disease names,clinical symptoms,tongue manifestation,pulse manifestation,TCM syndrome,TCM treatment method and other terms in medical records were standardized and statistically analyzed.Results Totally 169 articles were included,including 228 medical cases,involving 228 patients,with a cumulative number of 361 visits,with an average age of(53.17±11.11)years old,with the largest number of 50-60 years old.Chronic atrophic gastritis mostly belonged to the categories of"stomach pain"and"epigastric puffiness"in TCM,and its main symptoms were stomach pain,epigastric puffiness and belching.The common tongue manifestation include dark red tongue,white moss,thin or greasy moss.The common pulse manifestation included wiry slippery pulse,wiry thready pulse and wiry pulse.The high-frequency syndromes included liver-stomach qi stagnation syndrome,spleen-stomach dampness-heat syndrome,liver-qi stagnation and spleen-qi deficiency syndrome.The disease locations were mainly in the stomach,spleen and liver,and the syndrome elements were mainly qi deficiency,qi stagnation,blood stasis,dampness and heat,etc.The complex syndrome elements were more than the single syndrome elements,and the two syndrome elements of qi deficiency + qi stagnation was the most common.The most commonly used treatment methods were supplementing,regulating qi and regulating blood.Conclusion The treatment of chronic atrophic gastritis with TCM mostly focuses on the stomach,spleen and liver.The core syndrome elements are qi deficiency,qi stagnation,and blood stasis.The methods of nourishing qi and strengthening the spleen,soothing the liver and stomach,regulating qi and blood are often used.

Study on Medication Law of Qian Ying for the Treatment of Chronic Hepatitis B Based on Data Mining / 中国中医药信息杂志

Objective To analyze the medication law and academic thoughts of national TCM master Qian Ying in the treatment of chronic hepatitis B through data mining.Methods Totally 168 cases of chronic hepatitis B treated by Professor Qian Ying from Mar.2000 to Dec.2020 were retrospectively collected,and the properties,tastes and tropism meridians,core prescriptions and drug groups of the prescription drugs were analyzed by using the famous doctor inheritance platform.Results Totolly 168 medical cases involved 168 patients and 227 kinds of Chinese materia medica,with a total frequency of 2 158 times.The characteristics of properties,tastes and tropism meridians showed that the main property was cold,and the main taste was bitter,and the main meridian was liver meridian.34 kinds of high-frequency Chinese materia medica(mainly were tonics,heat-clearing medicines,and medicines for activating blood circulation and reducing stasis),28 kinds of core Chinese materia medica,10 pairs of highly co-occurring drugs,and 10 potential drug groups were mined.Conclusion Professor Qian Ying believes that the pathogenesis of chronic hepatitis B is deficiency in nature and excess in superficiality,and the treatment focuses on tonifying deficiency.It is often treated from the liver and emphasizes the harmonization of liver,spleen and kidney.Tonifying deficiency,clearing heat,promoting blood circulation and removing blood stasis are the main treatment methods,followed by dispelling dampness,promoting qi,eliminating phlegm,opening stagnation and relieving the exterior,etc.He pays attention to the harmonization of body and use,is good at using multiple methods.