OBJECTIVE:To analyze one case of pericardial pain induced by drug combination of omeprazole so as to provide reference for drug combination in the clinic. METHODS:A 79-year-old male patient was admitted because of stage Ⅲ hypertension,coronary heart disease,acute attack of chronic bronchitis in Dec. 2 of 2009. He was treated with omeprazole and pericardial pain was observed during treatment. ADR caused by omeprazole were put forward in the clinic. RESULTS & CONCLUSION: Omeprazole combined with other drugs can easily cause ADR for example,pericardial pain. The universality of ADR induced by drug combination of omeprazole should be further confirmed because of limited sample.

OBJECTIVE：To comprehensi vely evaluate the application progress of network pharmacology methods in TCM compound prescription research ，and to provide reference for modernization of TCM compound prescription research. METHODS ： Taking“network pharmacology ”and“TCM compound prescription ”as keywords ，the literatures were retrieved from CNKI ， Wanfang database and VIP during May 2006 to May 2020. Screening literature ，the databases ，analysis platforms ，and software used of the literature were summarized ；on the basis of quantitative analysis ，the application of network pharmacology in the research of traditional Chinese medicine compound were summarized. RESULTS & CONCLUSIONS ：There were a total of 761 valid literatures ，among which the number of literatures that could be retrieved in 2019 reached 313. In the modernization research of TCM compound prescription ，network pharmacology methods were mainly usedmechanism ，material basis of pharmacodynamics ， compatibility law ，compound optimization ，and“effect-toxic”network. Commonly used databasesand platforms included traditional chinese medicine information database （TCMSP and TCMID ），therapeutic target database （TTD，OMIM），drug targets and target prediction platform （Drugbank，SwissTargetPrediction，TargetNet，PharmMapper），network pharmacology analysis and prediction software and platform （CytoScape），etc. Network pharmacology method was widely used in the field of TCM compound prescription research ，and provided new ideas and methods for the modernization of TCM compound prescription research. In the future，the related research can be combined with the pharmacokinetic parameters ，the efficacy of active compounds and related basic experiments ，use the weighted method to carry out network pharmacology analysis ，and integrate the information of multiple databases to improve the scientificity of research results.

OBJECTIVE：To estab lish“TCM Data Analysis Platform Based on Strategy Pattern ”（TCMDP），and to analyze the medication rules of TCM prescription against primary hepatic carcinoma （PHC），so as to provide reference for TCM prescription screening. METHODS ：According to the idea of strategy pattern ，TCMDP software was developed ，and the frequency statistics，association，clustering，classification and other methods and the different algorithms covered were encapsulated. Effective TCM prescriptions against PHC were collected and screened from 4 tertiary-grade class-A hospitals in Nanchang city and CNKI ， PubMed. A database of prescriptions for PHC （PDOPHC）was established ，and TCM prescriptions in the data base were put into TCMDP. Clustering algorithm modified by CMC-DD ，modified WD-Get Rules algorithm after merging depth and width search and frequency statistics were used to analyze the distribution of prescription syndrome. Taking phlegm-blood stasis syndrome type （TYPHC）as example ，data mining was carried out on drug efficacy category ，four properties ，five flavors and channel tropism ， drug property combination ，key couplet medicines and key drug combination. RESULTS ：A total of 907 TCM prescriptions against PHC were collected ，mainly involving 10 syndrome types ，such as phlegm-blood stasis syndrome ，deficiency of the vital essential and blood stasis syndrome and liver and spleen blood stasis syndrome. TCM related to TYPHC commonly used in pre- scriptions were tonifying deficiency medicine ， phlegm-re- solving medicine ，promoting blood circulation and removing blood stasi s medicine ，etc．Four properties were mostly cold ，warm and calm ；the five flavors were most ly swe et，bitter and pungent ；channel tropism were mostly spleen ，liver，stomach， lung，heart and kidney ；drug combination were mostly warming-sweet-spleen ，warming-pungent-spleen and cold-bitter-liver ，etc.； there were 36 couplet medicines with frequency ≥30 times；there were 31 strong association rules and 8 key drug combinations in the prescriptions. WD-Get Rules results showed that in the TCM prescriptions against PHC ，Atractylodes macrocephala ，Codonopsis pilosula，Poria cocos and Glycyrrhiza uralensis were in the key position. They were often combined with many kinds of drugs ， which were related to the effect of Sijunzi decoction on strengthening Qi and tonifying spleen. CMC-DD results showed that therapy for TYPHC focused on strengthening the spleen and stomach ，replenishing Qi and blood ；and at the same time ，it treated TYPHC with phlegm-blood stasis syndrome from multiple angles ，such as soothing the liver and regulating Qi ，eliminating phlegm ，clearing heat and detoxification ，promoting blood circulation and nourishing Yin. CONCLUSIONS ：Clinical treatment of TYPHC mainly adopts the methods of invigorating the spleen and replenishing Qi ，soothing the liver and regulating Qi ，promoting blood circulation and removing blood stasis ，which conforms to the medication principle of “strengthening the body and eliminating pathogenic factors”. The application of TCMDP can realize the data mining and analysis of TCM in multi-level and multi-directional way ， which provides a new and effective way for the mining and research of compatibility rules of TCM prescriptions.

Objective This study focused on the application regularity of medicinal and dietary substances (MDS) of traditional Chinese medicine (TCM) diet therapy during rehabilitation, in order to help patients with Corona Virus Disease 2019 (COVID-19) reduce sequelae and improve their life quality. Methods The official websites of the national and provincial health committees, the website of the National Administration of Traditional Chinese Medicine, the China BioMedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), and Wanfang Database were used to search the keywords, such as “coronavirus” “novel coronavirus pneumonia” “COVID-19” “protocol” “guideline” “consensus” and “rehabilitation period”. The search time was from the establishment of databases to July 31, 2022. The prevention and control protocols of various provinces and cities were manually supplemented and screened out. The information on the frequency, property, flavor, meridian tropism, and efficacy of MDS was collected for association rule analysis through the Apriori algorithm. Hierarchical cluster analysis was performed using the Euclidean distance and longest distance. Results A total of 18 protocols were screened out, including 56 lists of TCM diet therapy, and 47 kinds of MDS with a frequency of 132 times during the rehabilitation of COVID-19. Among them, six lists of diet therapy were collected from national websites, 26 from local government websites, and 24 from social and academic institution websites. The intended population can be divided into seven categories including normal recovery, lung-spleen Qi deficiency, deficiency of both Qi and Yin, spleen-stomach weakness, deficiency of Yang Qi, kidney Qi deficiency, and blood deficiency. Shanyao (Dioscoreae Rhizoma) and Lianzi (Nelumbinis Semen), followed by Dazao (Jujubae Fructus) were used most commonly in MDS, with mainly flat property, sweet flavor, and spleen and lung meridians in meridian tropism. Besides, deficiency-tonifying drugs were commonly used in MDS. Through association rule analysis, 12 groups of association MDS pairs were obtained. The pair of Yiyiren (Coicis Semen) and Chenpi (Citri Reticulatae Pericarpium) had the highest Lift value, and Yiyiren (Coicis Semen) was used most frequently in the MDS category for eliminating pathogenic factors. The results of complex network analysis showed that the core MDS were Yiyiren (Coicis Semen), Shanyao (Dioscoreae Rhizoma), Huangqi (Astragali Radix), Fuling (Poria), and Dazao (Jujubae Fructus). Three core categories were classified by cluster analysis, including the category of strengthening spleen, nourishing kidney, and grasping Qi, the category of removing phlegm, abating panting, and regulating Qi, and the category of strengthening the middle-energizer and reinforcing Qi. Conclusion Based on the TCM theory, most patients during the rehabilitation of COVID-19 are in a state of lingering pathogens due to deficient vital Qi. TCM diet therapy is based on the principle of “giving both reinforcing and reducing treatment”, and the MDS combinations focus on both reinforcing the health Qi and eliminating pathogenic factors. The diet therapy mainly uses the MDS with flat property and sweet flavor, which belongs to deficiency-tonifying drugs, adding suitable MDS of pathogen-eliminating drugs according to different situations. The ultimate goal is to promote lung inflammation absorption, improve pulmonary fibrosis, increase immunity, reduce the occurrence of sequelae, and improve life quality.