ObjectiveThis study aims to explore the potential mechanism of the Xiezhuo Jiedu formula in regulating pyroptosis for the treatment of ulcerative colitis （UC） using bioinformatics and in vivo animal experiments. MethodsDifferentially expressed genes （DEGs） in colon tissues of UC patients were retrieved from the Gene Expression Omnibus （GEO） database. Pyroptosis-related genes were obtained from the GEO and GeneCards databases. The intersection of these datasets yielded pyroptosis-related DEGs （Pyro-DEGs）. Pyro-DEGs were subjected to Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis using the Metascape database. A protein-protein interaction （PPI） network was constructed using the STRING database. Least absolute shrinkage and selection operator （LASSO） prediction model and receiver operating characteristic （ROC） analysis were conducted to identify core Pyro-DEGs with diagnostic and therapeutic potential. Immune infiltration analysis of the UC datasets was performed using the deconvolution method （CIBERSORT）， along with correlation analysis with core Pyro-DEGs. Sixty male Sprague-Dawley （SD） rats were randomly divided into a control group， a model group， high-， medium-， and low-dose groups of Xiezhuo Jiedu formula （26.64， 13.32， 6.66 g·kg^-1）， and a mesalazine group （0.27 g·kg^-1）， with 10 rats in each group. UC was established by intrarectal administration of 3，5-trinitrobenzenesulfonic acid （TNBS） dissolved in ethanol. The control and model groups were given distilled water by gavage， while the treatment groups were administered the corresponding drugs for 7 consecutive days. Hematoxylin-eosin （HE） staining was used to observe the colon histopathology. Enzyme-linked immunosorbent assay （ELISA） was used to detect the levels of inflammatory factors such as interleukin-1β （IL-1β）， IL-10， IL-18， and transforming growth factor-β （TGF-β）. Immunohistochemistry （IHC） and Western blot were applied to detect the expression of Caspase-1， gap junction alpha-1 protein （GJA1）， peroxisome proliferator-activated receptor gamma （PPARG）， and S100 calcium-binding protein A8 （S100A8）. Real-time quantitative polymerase chain reaction （Real-time PCR） was utilized to measure mRNA expression of Caspase-1， GJA1， PPARG， and S100A8. Western blot was performed to assess protein expression levels of Caspase-1， GJA1， PPARG， and S100A8. ResultsGEO datasets GSE87466 and GSE87473 yielded 64 Pyro-DEGs. KEGG analysis indicated that these genes were enriched in the NOD-like receptor signaling pathway， tumor necrosis factor （TNF） signaling pathway， and hypoxia-inducible factor 1 （HIF-1） signaling pathway. Four core Pyro-DEGs （Caspase-1， GJA1， PPARG， and S100A8） were identified. Immune infiltration analysis showed that expression of these genes was positively correlated with mast cells， neutrophils， M0 macrophages， M1 macrophages， and dendritic cells. Animal experimental results indicated that compared with the control group， the model group had significantly increased levels of IL-1β and IL-18， significantly decreased levels of IL-10 and TGF-β. The model group showed enhanced Caspase-1， GJA1， and S100A8 staining， and significantly increased mRNA and protein expression of Caspase-1， GJA1， and S100A8 （P<0.01）. In contrast， the expression of PPARG was reduced in the model group （P<0.01）. After treatment， all dosage groups showed varying degrees of improvement （P<0.05， P<0.01）， with the high-dose group showing the most significant improvement （P<0.01）. ConclusionCaspase-1， GJA1， PPARG， and S100A8 are core Pyro-DEGs closely associated with the pathogenesis of UC. These genes may collaborate with immune cells such as mast cells， neutrophils， and M0 macrophages to mediate disease development. The Xiezhuo Jiedu formula may regulate the expression of core Pyro-DEGs through the NOD-like receptor， TNF， and HIF-1 core signaling pathways， thereby modulating immune homeostasis in UC rats and effectively alleviating UC.

The success of implementation research is closely tied to the institution's pre-implementation readiness. This study aims to explore the organizational readiness for change (ORC) and its influencing factors on primary healthcare settings in the implementation of the "Shared Medical Appointment for Diabetes (SMART) in China: design of an optimization trial" and to enhance ORC and provide insights to support the effective implementation of the program.

This study aimed to localize the workplace readiness questionnaire (WRQ) and validate its applicability for assessing readiness for implementation of evidence-based practices (EBP) in primary care settings in China. The localization of the instrument will provide a practical instrument for assessing organizational readiness for change (ORC).

Data analysis models may assist the transmission of traditional Chinese medicine （TCM） experience and clinical diagnosis and treatment， and the possibility of constructing a “data-knowledge” dual-drive model was explored by taking gastric precancerous state as an example. Data-driven is to make clinical decisions around data analysis， and its syndrome-differentiation decision-making research relies on hidden structural models and partially observable Markov decision-making processes to identify the etiology of diseases， syndrome elements， evolution of pathogenesis， and syndrome differentiation protocols； knowledge-driven is to make use of data and information to promote decision-making and action processes， and its syndrome-differentiation decision-making research relies on convolutional neural networks to improve the accuracy of local disease identification and syndrome differentiation. The “data-knowledge” dual-driven model can make up for the shortcomings of single-drive numerical simulation accuracy， and achieve a balance between local disease identification and macroscopic syndrome differentiation. On the basis of previous research， we explored the construction method of diagnostic assisted decision-making platform for gastric precancerous state， and believed that the diagnostic and decision-making ability of doctors can be extended through the assistance of machines and algorithms. Meanwhile， the related research methods were integrated and the core features of gastric precancerous state based on TCM syndrome differentiation and endoscopic pathology diagnosis and prediction were obtained， and the elements of endoscopic pathology recognition based on TCM syndrome differentiation were explored， so as to provide ideas for the in-depth research and innovative application of cutting-edge data analysis technology in the field of intelligent TCM syndrome differentiation.

Acute-on-chronic liver failure has complex conditions， rapid progression， and a high mortality rate， and further studies are still needed to clarify its pathogenesis and etiology. The establishment of animal models for acute-on-chronic liver failure can not only provide a good basis for exploring the pathogenesis of acute-on-chronic liver failure， but also provide an experimental basis for clinical treatment. Through a literature review， this article summarizes the methods commonly used to establish the animal models of acute-on-chronic liver failure， including carbon tetrachloride combined with LPS/GaIN， thioacetamide combined with LPS， serum albumin， and bile duct ligation. This article analyzes the characteristics of various animal models， so as to provide documentary and experimental bases for further exploration of more ideal animal models.

The clinical manifestations of colorectal polyps are consistent with the characteristics of dampness, stickiness and heaviness. The TCM constitutions in the prone population are mostly related to dampness. The pathological changes of intestinal flora imbalance, intestinal micro inflammation, neuroendocrine immune network and abnormal aquaporin in colorectal polyps are consistent with the research results of modern mechanism of dampness pathogen. This article believed that the TCM pathogenesis of colorectal polyps caused by damp pathogen is the accumulation of spleen deficiency and dampness caused by improper diet, poor emotion and other factors, and the interweaving of various diseases and pathogens to form tangible foreign bodies. According to the pathogenic characteristics of damp pathogen and the pathogenic factors of colorectal polyps, the influence of damp pathogen on the pathogenesis of colorectal polyps was discussed, in order to provide an effective TCM theoretical basis for the diagnosis and treatment of colorectal polyps in clinic.

Objectives:To evaluate the application of several comprehensive evaluation methods in the evaluation of scientific and technological impact of cardiovascular disease. Methods:According to the comprehensive evaluation system of global and China's scientific and technological influence and the weights,the standardized processing method,the extreme value processing method,the rank evaluation method,and the hierarchical multi-dimensional comprehensive evaluation method were used to evaluate the scientific and technological influence in cardiovascular diseases from 2016 to 2021. Results:The results of the four evaluation methods were consistent.The results of the standardized processing method and the extreme value processing method were similar.The rank evaluation method has a high similarity with the hierarchical multi-dimensional index comprehensive evaluation method.The hierarchical multi-dimensional index comprehensive evaluation can better highlight the importance of high-quality scientific and technological achievements. Conclusions:The hierarchical multi-dimensional index comprehensive evaluation is a comprehensive evaluation process that integrates the hierarchical index system,the echelon evaluation rules and the rank evaluation method.It can highlight the high-quality scientific and technological achievements and respond to the orientation of the classified and multi-dimensional evaluation of scientific and technological achievements.It is operable and generalizable,and provides a certain reference for the comprehensive evaluation practice of domestic medical institutions.

OBJECTIVE To investigate the correlation between serum levels of asprosin and adropin in elderly patients with obstructive sleep apnea syndrome(OSAS)and the disease severity.METHODS From August 2021 to August 2023,131 elderly OSAS patients admitted to Ezhou Central Hospital were collected as observation subjects(OSAS group),according to the sleep apnea hypopnea index(AHI),there were 40 cases in the mild group,52 cases in the moderate group,and 39 cases in the severe group,meantime,124 healthy individuals who came to health clinic of our hospital for physical examination were collected as the control group.Enzyme-linked immunosorbent assay(ELISA)was applied to determine the levels of asprosin and apropin in the serum of OSAS patients;Pearson method was applied to analyze the correlation between serum asprosin,apropin levels and AHI,ODI,and LSaO2.ROC curve was used to analyze the diagnostic value of serum asprosin and adropin levels in OSAS and the severity of OSAS patients.RESULTS Compared with the control group,the asprosin level in the OSAS group was obviously increased,while the adropin level was obviously reduced(P<0.05).There was no statistically obvious difference in gender,age,coronary heart disease,hypertension,TC,TG,HDL-C,LDL-C among the mild,moderate,and severe groups(P>0.05);compared with the mild group,the levels of BMI,AHI,ODI,and asprosin in the moderate and severe groups were obviously increased,while the levels of LSaO2 and apropin were obviously reduced(P<0.05);compared with the moderate group,the levels of BMI,AHI,ODI,and asprosin in the severe group were obviously increased,while the levels of LSaO2 and apropin were obviously reduced(P<0.05).The serum asprosin level in OSAS patients was positively correlated with AHI and ODI,and negatively correlated with LSaO2(P<0.05);the level of apropin was negatively correlated with AHI and ODI,and positively correlated with LSaO2(P<0.05).The AUC of serum asprosin,apropin levels,and their combination in diagnosing moderate and severe OSAS was 0.832,0.882,and 0.942,respectively,the combined diagnostic value of the two was superior to that of single diagnosis(Z=3.435,2.560,P=0.001,0.011).Serum asprosin,adropin levels and AUC of combined diagnosis of OSAS were 0.818,0.804 and 0.893,respectively.The value of combined diagnosis was better than that of single diagnosis(Z=3.886,4.126,P=0.000,0.000).CONCLUSION The serum level of asprosin is increased and the level of adropin is decreased in patients with OSAS,which is closely related to the severity of the disease,and may be used in the clinical diagnosis of OSAS and the evaluation of the severity of OSAS.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.

Objective To investigate risk factors of medication non-adherence in elderly patients with hypertension through Meta-analysis.Methods Literatures on medication non-adherence in elderly patients with hypertension were systematically reviewed across various databases,from inception to September 1st 2023,including CNKI,VIP,Wangfong Database,SinoMed,PubMed,Web of Science,Cochrane Library、EMbase.Meta-analysis was conducted using RevMan 5.4.Results A total of 19 articles were included,comprising a total of 18 220 patients in sample size.Meta analysis identified 10 risk factors,showed significant association(P<0.05)with:age[OR=1.36,95%CI=(1.00,1.86)],place of residence[OR=1.91,95%CI=(1.33,2.75)],method of payment for medical expenses[OR=1.60,95%CI=(1.38,1.86)],income level[OR=1.68,95%CI=(1.45,1.95)],occupational status[OR=1.79,95%CI=(1.37,2.36)],social support[OR=1.43,95%CI=(1.27,1.60)],comorbidity[CI=0.33,95%(0.19,0.58)],frequency of blood pressure measurement[CI=1.53,95%(1.14,2.05)],disease awareness[OR=1.70,95%CI=(1.44,2.00)]and dedication frequency[OR=1.44,95%CI=(1.16,1.79)].In addition,the number of influencing factors such as gender,marital status,depression,cognitive impairment,and complications was included in<3 articles,and only descriptive analysis was conducted.Conclusion Healthcare providers should focus on the identification and management of the risk factors associated with medication non-adherence in elderly patients with hypertension,therefore to reduce the incidence of medication non-adherence.