It is of great significance to construct an information platform for performance appraisal of tertiary public hospitals to realize real-time monitoring and intervention of appraisal indicators, which is conducive to the transmission of responsibility for index optimization to departments and medical groups, and to promote the fine management of hospitals and promote high-quality development.This paper introduced the practice and effect of building a performance appraisal information platform for tertiary public hospitals in four aspects: accurate data filling, timely dynamic monitoring, visual display and safety management since 2022. At the same time, suggestions were put forward for platform optimization from four aspects: data quality control, co-construction and sharing, promotion and application, and system integration, in order to provide reference for other hospitals.

Objective To investigate the effects of a 45％high-fat diet(HFD)with isocaloric intake on energy metabolism and endurance exercise capacity in SD rats.Methods Twenty-four male SD rats were randomly divided into normal chow diet group(CON),HFD group,normal chow diet+exercise training group(CONT),and HFD+exercise training group(HFDT).The CON and CONT groups received normal chow diet,while the HFD and HFDT groups received a 45％high-fat diet with isocaloric intake.The HFDT and CONT groups underwent an endurance training of moderate-intensity running for 6 weeks.Body weight,fat mass,and lean mass were measured weekly.Energy expenditure and basal metabolic rate during rest and exercise states were measured using Pheno Master/Calo Treadmill system.Blood glucose,lipids,and creatine kinase levels were detected after the exhaustion test.Results In 6 weeks after intervention,the endurance exercise capacity was significantly enhanced in the HFDT group than the CONT group(P＜0.05).There were no obvious differences in body weight and body composition among the groups under isoenergetic feeding conditions.At rest,no statistical differences were observed in total energy expenditure and basal metabolic rate among the groups.However,prior to the 4th week,the CON group primarily metabolized carbohydrates while the HFD group primarily metabolized fats.But the carbohydrate metabolism was decreased and then increased,and the substrate metabolism rates eventually reached similar levels between the 2 groups on the 5th to 6th week.The HFDT group primarily metabolized fats while the CONT group primarily metabolized carbohydrates,with significant differences persisting after 6 weeks of training(P＜0.05).HFD led to elevated levels of serum cholesterol,triglycerides(TG),and high-density lipoprotein cholesterol(HDL-C),but,endurance training resulted in decreased lipid levels in the HFDT group,accompanied by an increase inβ-hydroxybutyrate(βHB)level(P＜0.05).Isoenergetic diets had no significant differences in their effects on liver and kidney function or muscle damage indicators.Conclusion An isoenergetic HFD can improve fat utilization ability and extend endurance exercise time in rats without altering body composition or affecting liver and kidney function.

Objective To develop a nutritional formula on enhancing the endurance of heavy load exercise,and evaluate its efficacy comprehensively.Methods Sixty C57BL/6J male mice were randomly divided into control group(CON group)and low-,medium-and high-dose nutritional formula groups(LDF,MDF and HDF groups),with 15 mice in each group.Each group received intervention with nutritional formula at corresponding dose for 2 weeks,and underwent adaptive training and heavy load exercise in the 1 st and 2nd weeks,respectively.Exhaustion exercise time,skeletal muscle antioxidant indicators(SOD,MDA,PC and GSH),fatigue related indicators(serum URA,LDH and LA),muscle glycogen,and serum exercise injury related indicators(ALT,AST,CK and CK-MB)were measured and detected in the mice,and comprehensive evaluation was conducted according to relevant evaluation standards.Results The LDF group,MDF group and HDF group had significantly prolonged running exhaustion time than the CON group(P＜0.05),with the HDF group showing the greatest improvement(P＜0.05).Compared with the CON group,the activities of SOD and GSH in the skeletal muscles were significantly increased(P＜0.05),while the levels of MDA and PC in skeletal muscles were obviously decreased in the 3 doses of nutritional formula groups(P＜0.05).PAS staining of the skeletal muscles displayed that the glycogen content was significantly increased in the MDF group and the HDF group than the CON group(P＜0.05),and the highest increase was observed in the HDF group(P＜0.05).Biochemical test revealed that the levels of LDH,LA,ALT,AST,CK,and CK-MB were remarkably lower in the 3 doses of nutritional formula groups than the CON group(P＜0.05).Conclusion The nutritional formula can significantly improve the endurance and skeletal muscle antioxidant capacity in mice under heavy load exercise,and has anti-fatigue and-injury protection effects.This nutritional formula can be used to support physical fitness during heavy load endurance exercise.

ObjectiveTo effectively organize the interdisciplinary knowledge of traditional Chinese medicine （TCM） and evidence-based medicine contained in the clinical trial literature of TCM and facilitate the processing and mapping of multi-source data， this paper organized the knowledge of clinical trial literature of TCM by ontology modeling. MethodThe seven-step method and skeleton method were used to develop the ontology. After the structure and language characteristics of TCM clinical trial literature were analyzed， the ontological and non-ontological resources such as top-level framework of Scientific Evidence and Provenance Information Ontology （SEPIO） and TCM language system （TCMLS） were reused to determine the domain concepts and attribute relationship. Finally， the core concepts and attribute relationship such as disease， syndrome， symptom， grouping， intervention measures， outcome indicators and literature quality information were determined. ResultThe information contained in the clinical trial literature of TCM was divided into five categories. According to the Cochrane risk of bias assessment tool and CONSORT 2010 statement， the literature quality evaluation information was mapped to the ontology， and a total of 68 categories， 8 object attributes， and 38 data attributes were established， which basically realized the structured expression of clinical trial literature. ConclusionThe ontology of TCM clinical trial literature constructed in this study can well organize， utilize， and present the construction and association of internal knowledge system in TCM clinical trial literature， underpinning the reasoning of strength of evidence and information of diagnosis and treatment in the future.

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 collect and analyze the evaluation index of infertility treated by Traditional Chinese Medicine (TCM), which will lay a foundation for the establishment of the core index and evaluation index system of TCM treating infertility.Methods:By retriving the published literatures of randomized controlled trials of infertility treated by TCM in the database of CNKI, VIP, Wanfang, SinoMed, PubMed and Cochrane Library from January 1, 2011 to December 31, 2020, and after the screening according to the creteria of inclusion and exclusion, this paper analyzed the normal indexes of infertility and the pathogenic indexes of TCM.Results:A total of 95 RCTs were included, including 9 069 patients aged between 20-39 years old. The average sample size of each RCT study was 95, involving 78 evaluation criteria. The highest frequency of use was the total effective rate, etiological-index analysis found that the general indicators of infertility such as the total effective rate, pregnancy rate, TCM syndrome scores,and common etiological factors such as LH, FSH are the characteristic indicators.Conclusion:There are many problems in the evaluation indexes of clinical trials of treating infertility by TCM, such as great differences in number and not standardized usage. It is necessary to carry out research on the construction of core indicator and evaluation indicator systems of infertility according to different etiologies.

Objective:To investigate the transcriptomic mechanisms and clinical efficacy of D-CAG regimen for the treatment of acute myeloid leukemia (AML) after failure to initial induction of remission.Methods:The transcriptome data of AML cells before and after the use of dexitabine before August 28, 2021 was searched in Gene Expression Omnibus (GEO) database with "decitabine" as the search term. The R language package was used for differential expression analysis and Kyoto encyclopedia of genes and genomes (KEGG) and gene ontology (GO) enrichment analysis of the data. Protein-protein interaction network (PPI) analysis was conducted on the STRING online analysis website. The accurate treatment prediction platform designed based on logistic omics theory (EpiMed) was used to make drug-disease-target correlation analysis. The clinical data of 18 AML patients treated with D-CAG regimen after failure to induction of remission with standard anthracycline and cytarabine regimen ("3+7" regimen) in the 305th Hospital of Chinese PLA from October 8, 2015 to July 9, 2018 were searched and analyzed, and the curative effect was evaluated. The effects of the dose and duration of each drug on the efficacy were analyzed.Results:The transcriptome data of AML cells before and after the use of decitabine in GSE40442 dataset of the GPL5188 platform were finally selected, updated on July 10, 2014. A total of 366 differentially expressed genes were screened, including 201 up-regulated genes and 165 down-regulated genes. The differential genes were mainly related to cell cycle regulation, bone marrow leukocyte migration and differentiation, transcriptional regulation, bone marrow hematopoiesis and other signaling pathways. Ten core genes such as ANXA5, IL-10, THBS1, TLR4, JUN and CXCL12 were screened by PPI analysis. Drug-disease-target analysis showed that dexitabine had a potential therapeutic effect on various blood diseases such as diffuse large B-cell lymphoma, thrombocytopenia, T-cell acute lymphocytic leukemia, aplastic anemia, and AML. Of the 18 patients, after initial induction of remission, 7 (38.8%) patients achieved partial remission (PR), and 11 (61.2%) patients had no response (NR); after one cycle of re-induction remission therapy, 9 patients had complete remission (CR), 5 patients had PR, 4 patients had NR, and the overall response rate (ORR) was 77.8% (14/18). Compared with patients with NR, the CR rate was higher in patients with PR after initial induction therapy, which were 85.7% (6/7) and 27.3% (3/11), and the difference was statistically significant ( χ2=5.84, P = 0.025). The median duration of cytarabine in CR patients was longer than that in NR patients [10 d (7-14 d) vs. 5 d (2-8 d), Z = 3.89, P = 0.002] and the median ratio of the number of bone marrow blast cells to the duration cytarabine was lower in CR patients than that in NR patients [2.29 (0.89-9.10) vs. 8.10 (3.00-38.50), Z = -2.19, P = 0.006]; the median dose of cytarabine in CR patients was lower than NR patients, which were 50 mg·m -2·d -1 (30-150 mg·m -2·d -1) and 100 mg·m -2·d -1 (50-500 mg·m -2·d -1), and the difference was not statistically significant ( Z = -1.80, P = 0.074). Conclusions:AML patients with PR after initial induction and failure to initial induction of remission may be more likely to achieve CR after the treatment of D-CAG regimen, and this change may be related to the epigenetic regulation of decitabine.

Objective:To anylyze the combination rule of prescriptions containing Cmnamomi Mmulus in the book of Treatise on Typhoid and Miscellaneous Diseases based on tree analysis algorith method. Methods:By collecting prescriptions contain Cmnamomi Mmulus in the book of Treatise on Typhoid and Miscellaneous Diseases, and applying the tree analysis algorithm method on the Ancient and Modern Medical Case Cloud Platform to co-occurrence calculate each layer of the prescriptions, we got the hierarchical tree structure diagram of Cmnamomi Mmulus prescriptions. Results:79 prescriptions containing 96 medicines were included, which appeared 529 times, with 7 different functions. The medicines that are frequently appeared include Cmnamomi Mmulus, Glycyrrhizae Radix Et Rhizoma Praeparata Cum Melle, Zingiberis Rhizoma Recens, Jujubae Fructus, etc. The main effects include relieving the exterior, warming the meridians, warming yang and promoting diuresis. The tree structure diagram of the prescription is divided into seven layers, including the largest items of Cmnamomi Mmulus, Glycyrrhizae Radix Et Rhizoma Praeparata Cum Melle,Zingiberis Rhizoma Recens, Jujubae Fructus, Paeoniae Radix Alba, Ephedrae Herba, Puerariae Lobatae Radix, and the collateral drugs of Poria, Atractylodis macrocephalae rhizoma, Alismatis Rhizoma, Zingiberis Rhizoma, etc. Conclusion:The formula tree analysis algorithm can connect the correlation between drugs in series, and show the relationship between a series of high-frequency co-occurrence drugs in the formula, which can be used for the learning of classics.

Objective:To analyze the inflammatory mechanism and potential intervention drugs related to angiotensin converting enzyme 2 (ACE2) inhibitory mutations in order to provide reference for the treatment of corona virus disease 2019 (COVID-19).Methods:The data of lung adenocarcinoma with ACE2 mutations were screened from the cancer genome atlas (TCGA) database. The data were analyzed by R program language edgeR package and cluster Profiler package, gene ontology (GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Using String online analysis website for protein-protein interaction (PPI) network analysis, screening out the core genes, and finally using the Epigenomic Precision Medicine Prediction Platform (EpiMed) for multi-group association analysis of key genes, and drug candidates prediction.Results:A total of 1 005 differential genes were obtained, of which 91 were up-regulated and 914 down-regulated. A total of 71 GO were enriched, including 45 items related to biological processes, 16 items related to cell components, and 10 items related to molecular function. A total of 13 KEGG pathways were enriched, mainly in inflammatory pathways, various viral infectious diseases, transcriptional regulation, drug metabolism and protein digestion and absorption pathways. The differentially expressed genes were introduced into String online analysis website for PPI network analysis, a total of 252 proteins were obtained, and 10 core genes were H2A clustered histone 16(HIST1H2AL), H3 clustered histone 2 (HIST1H3B), H3 clustered histone 7 (HIST1H3F), H3 clustered histone 11 (HIST1H3I), H3 clustered histone 3 (HIST1H3C), H2B clustered histone 3 (HIST1H2BB), H2B clustered histone 6 (HIST1H2BI), H4 clustered histone 2 (HIST1H4B), H1-4 linker histone (HIST1H1E), H2A clustered histone 4 (HIST1H2AB). Interferon-α, resveratrol, celecoxib, heartleaf houttuynia herb, weeping forsythia capsule, dexamethasone, Chinese pulsatilla root, tumor necrosis factor-α inhibitors, liquorice root and famciclovir might be drugs for the treatment of ACE2 mutation-related inflammation.Conclusions:Inflammation associated with ACE2 inhibitory mutations is similar to the pathogenesis of COVID-19, which could lead to disease by promoting the activation of inflammatory pathways such as mitogen-activated protein kinase (MAPK), the Janus kinase signal transducer and activator of transcription (JAK/STAT), mammalian target of rapamycin (mTOR). Celecoxib, interferon and resveratrol may have the potential therapeutic effects on COVID-19.

Objective:To investigate the omics mechanism of SARS-related immune injury and predict targeted therapeutic drugs through clinical bioinformatics analysis of the transcriptome data of SARS virus in order to provide reference for clinical treatment of COVID-19.Methods:The transcriptome data of SARA virus were collected from the Gene Expression Oibus (GEO) and used to screen differential genes. Enrichment analysis and protein interaction analysis were performed to investigate the mechanism of immune damage associated with SARS. A platform of epigenetics in precision medicine (EpiMed) was established to predict potential therapeutic drugs.Results:The mechanism of SARS-related immune injury was complex, involving affecting the function of immune cells through signaling pathways such as Toll-like receptors, increasing cytokines in plasma through Th17 signaling pathway and inducing autoimmune responses after autoantibodies were generated by molecules such as IL-6, NF-κB, and TNF. Drugs such as Chuanqiong and Etanercept might have therapeutic effects on SARS-related immune damage.Conclusions:SARS virus could cause abnormal expression of many immune-related molecules and signaling pathways. Drugs such as Chuanqiong and Etanercept might have therapeutic effects on SARS-related immune damage. This study might provide reference for clinical treatment of COVID-19.