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.

Objective:To investigate the correlation and predictive value of fibrinogen-to-albumin ratio (FAR) and clinical outcomes after intravenous thrombolysis in patients with acute ischemic stroke.Methods:Patients with acute ischemic stroke received intravenous thrombolysis treatment at Fuyang People's Hospital from November 2019 to August 2022 were retrospectively included. Their clinical, imaging, and laboratory data were collected. After 3 months of onset, a modified Rankin Scale was used for clinical outcome evaluation and a score >2 were defined as poor outcome. Multivariate logistic regression analysis was used to determine the correlation between FAR and poor outcome. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of FAR on adverse outcomes after intravenous thrombolysis in patients with acute ischemic stroke. Results:A total of 162 patients were included. There were 114 patients (70.4%) in the good outcome group and 48 (29.6%) in the poor outcome group. Univariate analysis showed that the baseline National Institutes of Health Stroke Scale (NIHSS) score, fasting blood glucose, fibrinogen, and FAR in the poor outcome group were significantly higher than those in the good outcome group, while the serum albumin was significantly lower than that of the good outcome group (all P<0.05). Multivariate logistic regression analysis showed that the baseline NIHSS score (odds ratio [ OR] 1.176, 95% confidence interval [ CI] 1.082-1.227; P<0.001), fasting blood glucose ( OR 1.206, 95% CI 1.018-1.430; P=0.030), and FAR ( OR 1.448, 95% CI 1.449-1.824; P=0.002) were the independent risk factors for poor outcome. The ROC curve analysis showed that the area under the curve of FAR for predicting poor outcomes was 0.706 (95% CI 0.616-0.796). When the FAR cutoff value was 8.06, the sensitivity and specificity were 66.7% and 78.2%, respectively. Conclusion:There is a significant correlation between FAR and outcomes after intravenous thrombolysis therapy in patients with acute ischemic stroke. Higher FAR has certain predictive value for poor outcomes of patients.

Objective:To analyze the medication rules in the ancient book Pu Ji Fang for the external treatment of acne based on data mining method. Methods:By screening out the methods of treating acne externally in Pu Ji Fang and establishing a standardized medical record database, this paper adopted the web version of Ancient and Modern Medical Record Cloud Platform to calculate the frequency, properties, flavors, and meridians of those medicines, and conduct cluster analysis by using IBM SPSS Modeler 18.0 software to analyze the association rules. Results:A total of 87 prescriptions were selected, including 164 kinds of Chinese materia medica, among which. Radix Angelicae, Ligusticum Wallichii, Rhizoma Typhoni and lead powder are frequently appeared. The properties of those medicines are mainly warm, cold and mild; the flavors of those medicines are mainly spicy, acrid, sweet and bitter, and the meridians mainly belongs to lung, spleen, stomach and liver meridians. The medical pair and group with the strongest associationion are Ligusticum Wallichii- Radix Angelicae and Rhizoma Typhonii- Radix Angelicae- Ligusticum Wallichii. Those freuently appeared medicines could be grouped into three categories. The paste dosage that was frequently appeared has strong correlation with tallow, mercury and lead powder, while the powder dosage that was frequenctly appeared has strong correlation with Angelica Dahurica, Radix Saponicae, Gleditsia sinensis, Radices Ligustici Sinensis and Ligusticum Wallichii. Conclusions:The application of data mining method could preliminarily reveal the medication rules of Pu Ji Fang for the external treatment of acne. The main treatment method is XinSanFaYue. The three categories of Chinese materia medica are used to treat the syndrome of asthenic habitus attacked by exogenous pathogenic factors, exterior attacked by wind heat and hot blood stasis respectively, showing the rules of treating acne externally before Ming Dynasty and providing references for the clinical treatment of acne.

Objective:To investigate the correlation between eosinophil count and short-term outcomes of patients with acute ischemic stroke.Methods:Patients with acute ischemic stroke treated in Fuyang People's Hospital from June 2017 to June 2019 were enrolled retrospectively. The demographic and baseline clinical data were collected. The modified Rankin Scale was used to evaluate the short-term clinical outcome at the time of discharge or 14 d after onset. 0-2 was defined as good outcome, and >2 was defined as poor outcome. Multivariate logistic regression analysis was used to determine the independent influencing factors of poor short-term outcome. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of eosinophil count for poor short-term outcome. Results:A total of 300 patients with acute ischemic stroke were enrolled, including 187 males (62.3%) and 113 females (37.7%); their age was 63.62±12.14 years; baseline National Institutes of Health Stroke Scale (NIHSS) score was 5.48±4.85. Two hundred and twenty-eight patients (76.0%) had a good outcome and 72 (24.0%) had a poor outcome. Univariate analysis showed that age, hypertension, baseline NIHSS score, C-reactive protein, atrial fibrillation, and neutrophil count of the poor outcome group were significantly higher than those of the good outcome group, while male, smoking, eosinophil count and percentage of eosinophils were significantly lower than those of the good outcome group (all P<0.05). Multivariate logistic regression analysis showed that baseline NIHSS score (odds ratio [ OR] 1.726, 95% confidence interval [ CI] 1.400-2.128; P<0.001), hypertension ( OR 3.744, 95% CI 1.227-11.426; P=0.020) and eosinophil count ( OR 0.287, 95% CI 0.102-0.616; P=0.043) were the independent influencing factors for the poor short-term outcome. ROC curve analysis showed that the area under the curve of eosinophil count for predicting the poor short-term outcome was 0.717 (95% CI 0.642-0.792), the best cutoff value was 0.075×10 9/L, and its sensitivity and specificity for predicting the poor short-term outcome were 88.6% and 51.4% respectively. Conclusion:The decreased eosinophil count had a certain predictive value for the poor short-term clinical outcome of patients with acute ischemic stroke.

Stroke has become one of the main causes of death in China, and ischemic stroke is the most common type. At the same time, the prevalence of chronic kidney disease (CKD) is also increasing, and there are many similar risk factors with ischemic stroke. More and more studies have shown that CKD increases the incidence, severity and risk of poor outcome of ischemic stroke, but the specific mechanism of its interaction is not completely clear. For ischemic stroke patients with CKD, the most effective treatment and prevention measures are lack of sufficient evidence. This article reviews the relationship between CKD and ischemic stroke, as well as the treatment and prevention.

This paper analyzes and compares the development of Traditional Chinese Medicine (TCM) in Germany, France, the UK and Netherlands, considering the economic and social situation of countries. The SWOT strategic analysis is carried out on the basis of the proposittion of China-Europe cooperation in TCM, which encourage to carry out joint tackling of TCM for common diseases, jointly promoting the legislation with the guidance of the government and the participation of the public, speeding up the registration and listing of Chinese patent medicine with the focus on the Netherlands and the UK, and optimizing the perspective and strength of TCM publicity with the help of new media. In this way, TCM should be promoted in Europe.

This paper collects information on the species resources of medicinal plants in Laos through various methods such as literature collation and analysis, sample line survey, visits and surveys, and initially obtains the medicinal plant resources in Laos, the use of folk herbs, and traditional medicine knowledge archives. It is found that Laos is rich with wild medicinal plant resources. There are 2 165 species (including varieties) belonging to 1 014 genera of 214 families, including 57 species belonging to 40 genera of 29 families of ferns, 32 species belonging to 17 genera of 8 families of gymnosperms, and 2 076 species belonging to 957 genera of 177 families of angiosperms. And, there are 108 kinds of medicinal materials currently circulatingin the market. Herbal resources is widely used in Laos, and many fresh herbs in the market have the special effects of relieving cough and promoting salivation, eliminating dampness, dispelling summer heat, nourishing yin and cooling blood.The medicinal materials for alleviating rheumatism and strengthening waist and knees in the market are with good prospects for development and utilization, so the development and management should be strengthened. China and Laos can conduct in-depth research and strengthen experience exchanges on traditional medicine experience.

The paper introduces the current situation of traditional Chinese medicine (TCM) in Germany from the aspects of legislation and management, clinical treatment, education, scientific research, and medicinal plant resources. Based on this, this paper concludes that the major problems of TCM development in Germany are lack of effective legal protection, most TCM treatment therapiess are not covered by German health insurance, and the clinical level of TCM practioners is relatively low. Under the guildance of the Belt and Road Initiative, China should formulate relevant policies to promote international TCM cooperation between China and Germany, help Chinese institutions to build bridges with German institutions, cultivate German TCM talents, strengthen TCM cooperation on science and technology, and encourage Chinese enterprises to go global, therefore promoting the gradual development of TCM in Germany.

The international TCM clinical knowledge database is demand-oriented, fully integrated TM resources of the Institute of Information on Traditional Chinese Medicine of China Academy of Chinese Medical Sciences that has accumulated for decades, with increased new resources. The resources are structured by subject indexing, classification and knowledge extraction, and are hierarchically translated by machine translation and manned proofreading. In addition, the research group also designs and develops service platform using ontology, semantic web, association relationship and other information technology. The knowledge database will provide knowledge service to TCM practitioners and the general public worldwide, and promote the internationalization of TCM.

Objective:This paper studied the classification of syndrome and the multi-level expression method of syndrome elements, to realize the processing of syndrome name wiht computer, which could be applied to the research on traditional Chinese medicine (TCM) intelligent auxiliary diagnosis system.Methods:With the guidance of TCM theory combining the syndrome differentiation and syndrome elements theory, the syndrome elements are divided into a more fine-grained way, and the hierarchical division method and multi-level expression method of syndrome elements are put forward. Than to conduct artificial analysis on the syndrome of gynecological diseases to verify the rationality of multi-level expression of syndrome elements. Based on the multi-level expression method of syndrome elements and pattern extraction method of pattern matching,form the extraction method of syndrome elements and through the batch processing of the Clinical Diagnosis and Treatment Term of TCM& Syndrome Part to verify the accuracy of the batch processing methodexpression. Results:Guided by TCM theory, this study divided the constituent elements of syndrome names into two levels and five types containing disease location elements, disease nature elements which includes basic material, etiology, pathological state and conjunctions, based on which the syndrome splitting process is constructed. Based on this, the process of syndrome name elements separation is constructed. Artificial analysis of TCM syndrome names of menstrual diseases and infertility shows that all syndrome names can be divided into one or more disease location elements, disease nature elements, and conjunctions based on that splitting process. The accuracy rate of computer batch processing is as high as 71.4% based on that splitting process.Conclusions:The multi-level representation method of syndrome elements provides a theoretical framework for mass data processing by computer, improves the efficiency and accuracy of data processing, provides a theoretical basis for the construction of training data set of syndrome differentiation model, provides support for TCM syndrome differentiation reasoning model, and can be applied to the research of TCM intelligent auxiliary diagnosis system.