Geriatrics develops relatively late in medical education, but geriatric medical education is rapidly rising for aggravation of the aging of population.And geriatric medical education is desired of the properties medical sciences, and is also the need of the development itself. Therefore, geriatric medical education should be internationalized, to eventually form distinctive education.

AIM　To discuss the intraspecific relationship in Magnolia officinalis and the genuineness of Cortex Magnoliae officinalis, and to find some DNA characters of certified “Houpo”. METHODS　Thirty-three samples from eleven locations, which can represent most of the distribution of M.officinalis, were selected. The total DNA was extracted. Severty-four random primers were tried to get good amplification. RESULTS One hundred and sixteen bands amplified from seventeen primers, were clustered by NTSYS-pc software. Three branches were obtained. Some distinctive primers and bands, which represent certified species or fine breed, were obtained also. CONCLUSION　1) M.officinalis should be divided into three geographic clans instead of two subspecies or varieties, they are, a) typical officinalis, b) typical biloba and c) Middle type. This conclusion agrees with the leaf form and other characters. 2) The genetic difference between “Chuanpo” and “Wenpo” is evident and the difference is in correspondence with the quantities of their chemical constituents. So, the genetic difference is the main reason of the genuineness of Cortex Magnoliae officinalis. 3) These results may be used to establish DNA database for identification of Cortex Magnoliae officinalis.

Objective To establish a simple, cost-effective method to measure reactive oxygen metabolites ( ROMs) using automatic biochemical analyzer.Methods Serum samples were collected from 50 healthy individuals and 50 hospitalized patientsin Beijing Hospital from September 2013 to November 2013.By setting up and optimizing parameters on automatic biochemical analyzer, a new method of measuring ROMS was established with TBHP as calibrator.130 healthy non-smokers were recruited in Beijing Hospital from November 2013 to December 2013 to establish reference interval, including 73 males and 57 females.The average age was 68.8 ±12.5.According to CLSI documents, there was the establishment of the new method including precision, limit of blank ( LoB ) , limit of detection ( LoD ) , limit of quantitation (LoQ), linearity,interference testing, and reference interval.Results The intra assay imprecision was 1. 5%-4.1% and the total imprecision was 4.4%-9.9%.LoB was 0.85 mmol/L TBHP;LoD was 2. 7mmol/L TBHP;LoQ was 5.9mmol/L TBHP.The linearity was 5.9-600 mmol/L (R2 =0.995).When triglyceride≤28.58 mmol/L, hemoglobin≤173 g/L, vitamin C≤60 mg/dl and bilirubin≤73.8 μmol/L, the deviation was -7.6%, 4.6%, -98.9%, 19.1%respectively.The normal reference interval was 61.9 -88.1 mmol/L TBHP.Conclusions The newly-established method has good performances of precision,LOD and linearity, which can meet the clinical needs.The interference of triglyceride and hemoglobin is small, while vitamin C and bilirubin have stronger interference on measurement.( Chin J Lab Med,2015,38:163-167)

The prescriptions including Polygoni Multiflori Caulis that built by Pro. Yan were collected to build a database based on traditional Chinese medicine (TCM) inheritance assist system. The method of association rules with apriori algorithm was used to achieve frequency of single medicine, frequency of drug combinations, association rules between drugs and core drug combinations. The datamining results indicated that in the prescriptions that including Polygoni Multiflori Caulis, the highest frequency used drugs were parched Ziziphi Spinosae Semen, Ostreae Concha, Ossis Mastodi Fossilia, Salviae Miltiorrhizae Radix Et Rhizoma, Paeoniae Rubra Radix, and so on. The most frequent drug combinations were "Polygoni Multiflori Caulis-parched Ziziphi Spinosae Semen", "Ostreae Concha-Polygoni Multiflori Caulis", and "Polygoni Multiflori Caulis-Ossis Mastodi Fossilia". The drug association rules of confidence coefficient 1 were "Ostreae Concha-->Polygoni Multiflori Caulis", "Poria-->Polygoni Multiflori Caulis", "parched Ziziphi Spinosae Semen-->Polygoni Multiflori Caulis", and "Paeoniae Alba Radix-->Polygoni Multiflori Caulis". The core drug combinations in the treatment of insomnia were Ossis Mastodi Fossilia, Polygoni Multiflori Caulis, Salviae Miltiorrhizae Radix et Rhizoma, Ostreae Concha, Polygalae Radix, Margaritifera Concha, Poria, and parched Ziziphi Spinosae Semen. And the core drug combinations in the treatment of obstruction of Qi in chest were Salviae Miltiorrhizae Radix Et Rhizoma, Polygoni Multiflori Caulis, parched Ziziphi Spinosae Semen, Trichosanthis Fructus, Allii Macrostemonis Bulbus, and Paeoniae Rubra Radix.
Data Mining ; methods ; Drug Combinations ; Drugs, Chinese Herbal ; chemistry ; pharmacology ; Humans ; Medicine, Chinese Traditional ; methods ; Plant Stems ; chemistry ; Polygonaceae ; chemistry ; Prescriptions

The prescriptions containing pericarpium citri reticulatae that built by Professor. Yan were collected to build a database based on traditional Chinese medicine (TCM) inheritance assist system. After analyzed by data mining, such as apriori algorithm, the frequency of single medicine, the frequency of drug combination, the association rules between drugs and core drug combinations can be get from the database. Through the analysis of 1 027 prescriptions with pericarpium citri reticulatae, these prescriptions were commonly used to treat stomach aches, cough and other syndromes. The most frequency drug combinations were "Citri Reticulatae Pericarpium-Poria", "Paeoniae Radix Rubra-Citri Reticulatae Pericarpium" and so on. The drug association rules that the confidence was 1 were "Glycyrrhizae Radix ex Rhizoma --> Citri Reticulatae Pericarpium", "Paeoniae Alba Radix-Cyperi Rhizoma --> Citri Reticulatae Pericarpium", "Poria --> Citri Reticulatae Pericarpium", and so on. The drugs in the prescriptions containing pericarpium citri reticulatae that built by Professor Yan mostly had the effects of regulating the flow of Qi and invigorate blood circulation, which reflected the clearly thought when making prescriptions.
Citrus ; chemistry ; Data Mining ; Drug Interactions ; Drug Prescriptions ; Drug Therapy, Combination ; Drugs, Chinese Herbal ; pharmacology ; Humans ; Practice Patterns, Physicians'

In this study, Professor Yan Zhenghua's recipes for treating heart diseases were collected to determine the frequency and association rules among drugs by such data mining methods as apriori algorithm and complex system entropy cluster and summarize Pro- fessor Yan Zhenghua's medication experience in treating heart diseases. The results indicated that frequently used drugs included Salviae Miltiorrhizae Radix et Rhizoma, Parched Ziziphi Spinosae Semen, Polygoni Multiflori Caulis, Ostreae Concha, Poria; frequently used drug combinations included "Ostreae Concha, Draconis Os", "Polygoni Multiflori Caulis, Parched Ziziphi Spinosae Semen" , and "Salviae Miltiorrhizae Radix et Rhizoma, Parched Ziziphi Spinosae Semen". The drug combinations with the confidence of 1 included "Dalbergiae Odoriferae Lignum-->Salviae Miltiorrhizae Radix et Rhizoma", "Allii Macrostemonis Bulbus-->Parched Ziziphi Spinosae Semen", "Draconis Os-->Ostreae Concha", and "Salviae Miltiorrhizac Radix et Rhizoma, Draconis Os-->Ostreae Concha". The core drug combinations included" Chrysanthemi Flos-Gastrodiae Rhizoma-Tribuli Fructus", "Dipsaci Radix-Taxillus sutchuenensis-Achyranthis Bidentatae Radix", and "Margaritifera Concha-Polygoni Multiflori Caulis-Platycladi Semen-Draconis Os".
Drug Interactions ; Drug Therapy, Combination ; Drugs, Chinese Herbal ; chemistry ; history ; therapeutic use ; Entropy ; Heart Diseases ; drug therapy ; history ; History, 20th Century ; History, 21st Century ; Humans

In this study, prescriptions were collected to establish a database based on the traditional Chinese medicine inheritance support system (TCMISS). Such data-mining methods as software's statistical statement module, data analysis module and apriori algorithm were used to analyze the frequency of single drug, the frequency of drug combination, the association rules and the core drug combinations of ostreae concha-containing prescriptions. The results showed that Ostreae Concha-containing prescriptions were frequently used to treat insomnia, vertigo, stomach-ache and other syndromes. The frequently used drugs included Ossis Mastodi Fossilia, Parched Ziziphi Spinosae Semen, Polygoni Multiflori Caulis, Salviae Miltiorrhizae Radix and Paeoniae Rubra Radix. The frequently used drug combinations included "Ostreae Concha and Ossis Mastodi Fossilia", "Ostreae Concha and Parched Ziziphi Spinosae Semen", and "Ostreae Concha and Polygoni Multiflori Caulis". The drug association rules with the confidence coefficient of more than 0. 95 included "Ossis Mastodi Fossilia-->Ostreae Concha", "Cocos Poria-Ossis Mastodi Fossilia-Ostreae Concha", "Ossis Mastodi Fossilia-Parched Ziziphi Spinosae Semen-->Ostreae Concha", and "Salviae Miltiorrhizae Radix-Ossis Mastodi Fossilia--Ostreae Concha".
Animals ; Chemistry, Pharmaceutical ; Data Mining ; Databases, Pharmaceutical ; Drug Prescriptions ; Humans ; Medicine, Chinese Traditional ; methods ; Ostrea ; chemistry ; Physicians ; Software

Analyzed the prescriptions for phlegm retention syndrome that built by Ma Peizhi by the association rules and clustering algorithm, the frequency of drug usage and the relationship between drugs could be get. And from that we could conclude the experiences for phlegm retention syndrome of Ma Peizhi of menghe medical genre. The results of the analysis were that 18 core combinations were dig out, such as Citri Exocarpium Rubrum-Eriobotryae Folium-Citri Reticulatae Pericarpium. And there were 9 new prescriptions were found out such as Aurantii Fructus-Citri Exocarpium Rubium-Eriobotryae Folium-Citri Reticulatae Pericarpium. The results of the analysis were proved that Ma Peizhi of Menghe Medical Genre was good at curing phlegm retention syndrome by using the traditional Chinese medicine of mild and light, such as the medicines of mild tonification, and clearing damp and promoting diuresis.
Algorithms ; Data Mining ; Databases, Factual ; Drug Prescriptions ; standards ; Drugs, Chinese Herbal ; therapeutic use ; Humans ; Mucus ; chemistry ; Practice Patterns, Physicians' ; Respiratory Tract Diseases ; drug therapy

The clinical prescriptions of hemoptysis that built by Menghe physician Ma Peizhi were collected, and were analyzed by the method of unsupervised data mining, such as association rules and clustering algorithm. From the prescriptions, we got the frequency of drugs, the association rules among drugs, 10 core drug combinations and 5 new prescriptions. Accordingly, after the analysis, Menghe physician Ma Peizhi had rich experience in the treatment of hemoptysis. His therapy for hemoptysis was clearing heat and moistening lung, dispel heat from blood to stop bleeding, and enriching yin and blood. And we can also make a conclusion that the TCM inheritance support system is of great practical value for minning the old doctors' clinical experiences.
Data Mining ; Databases, Factual ; Drug Prescriptions ; standards ; Drugs, Chinese Herbal ; chemistry ; therapeutic use ; Hemoptysis ; drug therapy ; Humans ; Practice Patterns, Physicians'

Based on the data mining methods of association rules and clustering algorithm, the 188 prescriptions for cough that built by Yan Zhenghua were collected and analyzed to get the frequency of drug usage and the relationship between drugs. From which we could conclude the experiences of Yan Zhenghua for the treatment of cough. The results of the analysis were that 20 core combinations were dig out, such as Bambusae Caulis in Taenias-Almond-Sactmarsh Aster. And there were 10 new prescriptions were found out, such as Sactmarsh Aster-Scutellariae Radix-Album Viscum-Bambusae Caulis in Taenian-Eriobotryae Folium. The results of the analysis were proved that Yan Zhenghua was good at curing cough by using the traditional Chinese medicine that can dispel wind and heat from the body, and remove heat from the lung to relieve cough.
Algorithms ; Cough ; drug therapy ; Data Mining ; Drug Prescriptions ; Drug Therapy, Combination ; Drugs, Chinese Herbal ; therapeutic use ; Humans ; Practice Patterns, Physicians'