Traditional Chinese medicine （TCM）， through its multi-target and systematic regulatory effects， has demonstrated unique advantages in the treatment of gastric precancerous lesions （GPL）. At present， TCM theoretical research on GPL is mainly reflected in three aspects， the integration of macroscopic syndrome differentiation， the inflammation-carcinoma transformation mechanism， as well as the systematization and scientization of theoretical inheritance from famous TCM practitioners. High-quality evidence-based research findings serve as the foundation for clinical practice guidelines on GPL， and TCM has gained international academic recognition in the field of GPL prevention and treatment. Research on TCM mechanisms has yielded a series of important outcomes in the aspects of signaling pathways， gene expression regulation， cellular epigenetics， histone modification， and intestinal microecology. It is proposed that future research on GPL should focus on four key directions， establishing multi-omics data， exploring targeted intervention strategies on key regulatory nodes， advancing the standardization process of integrated traditional Chinese and western medicine prevention and treatment technologies， and constructing stratified screening and intervention platforms. The in-depth integration of TCM microcosmic mechanism of action with its macroscopic syndrome differentiation and treatment system， coupled with interdisciplinary research， will provide valuable references for the clinical treatment and scientific research of GPL.

ObjectiveTo systematically assess the public health governance capacity in Zhejiang Province, to conduct an in-depth analysis of its strengths and weaknesses, so as to provide scientific basis and strategic recommendations for further enhancement. MethodsA systematic collection of policy documents, public information reports, and research literature related to public health governance capacity in Zhejiang Province from 2002 to 2023 was conducted (encompassing a total of 1 263 policy documents, 138 pieces of information reports and 631 research articles). Based on the evaluation criteria suitable for public health systems previously developed by the research team, the basic status and magnitude of change in public health governance capacity in Zhejiang Province was evaluated. Additionally, normative gap analyses were employed to identify the strengths and weaknesses. ResultsZhejiang Province ranked 4th nationwide in terms of public health governance capacity with a score of 733.4 points (1 000.0-point maximum). The province has effectively implemented the principle of health first (scoring 698.5 points in the assessment of health-first strategy implementation) and attached sufficient importance to health-related goals (scoring 658.2 points in the scientific rationality of goal setting). However, the implementation of inter-departmental coordination and incentive mechanisms only scored 178.7 points, the feasibility of management and monitoring mechanisms scored even lower at only 144.0 points, and the coverage of incentive mechanisms scored 286.0 points. ConclusionZhejiang Province has effectively implemented its health first strategy and attached great importance to health targets, but still needs to strengthen cross-departmental coordination mechanisms and health-oriented incentives.

Objective: This study proposes a clustering framework for Chinese materia medica (CMM) based on a large language model (LLM), aiming to explore potential compatibility patterns among CMMs from the semantic perspective of CMM property theory. Methods: First, a CMM property knowledge base was constructed based on Chinese Materia Medica, including 567 commonly used CMMs characterized by four properties, five flavors, and meridian tropism. Then, 49 CMMs derived from 10 prescriptions for Zangdu (脏毒, pathogenic toxins) recorded in Waike Zhengzong (《外科正宗》, Orthodox Manual of External Medicine) and Yangke Xinde Ji (《疡科心得集》, Collected Insights on Ulcer Medicine) were selected as the experimental dataset. Five semantic representation methods—One-Hot, Word2Vec, Bidirectional Encoder Representations from Transformers (BERT), Beijing Academy of Artificial Intelligence General Embedding (BGE), and Qwen—were applied to encode CMM property information into vector representations. Subsequently, t-distributed Stochastic Neighbor Embedding (t-SNE) was used for nonlinear dimensionality reduction on high-dimensional semantic vectors, followed by k-means clustering (k = 7). Clustering performance was evaluated using the Silhouette Score (SS), Davies-Bouldin Index (DBI), and Calinski-Harabasz Index (CHI). Results: The Qwen-based clustering method, CMM-EmbedCluster, achieved the highest SS (0.607 4) and CHI (158.057 2), as well as the lowest DBI (0.499 5), indicating improved cluster separation and compactness compared with other methods. Visualization of CMM clustering results showed that the clusters were well separated in the low-dimensional space, with strong inter-cluster discrimination and high intra-cluster functional consistency. Further interpretability analysis of CMM clustering results revealed stable structural differences among clusters in terms of four properties, five flavors, and meridian tropism, forming functional partitions consistent with CMM property theory. Conclusion CMM-EmbedCluster utilizes an LLM to achieve semantic-level representation and clustering of CMMs within the framework of CMM property theory, providing support for exploring potential compatibility patterns among CMMs from the perspective of CMM property semantics.

BackgroundIndividuals with chronic multimorbidity exhibit a high prevalence of sleep disturbances， which impair their physical and psychological well-being and impede chronic disease management. Although sleep quality is closely influencing with psychological functioning， empirical evidence regarding the longitudinal trajectories of sleep quality and their influencing factors in this population remains insufficient. ObjectiveTo investigate the longitudinal trajectories of sleep quality and associated factors among patients with chronic multimorbidity from hospitalization through 6 months post-discharge， aiming to facilitate the early identification of high-risk individuals and the development of personalized sleep interventions. MethodsA total of 228 inpatients with chronic multimorbidity， primarily with cardiovascular and metabolic chronic conditions， were enrolled via random sampling at The Third People's Hospital of Fuyang from January 2023 to September 2024. Baseline assessments were conducted during hospitalization using the general socio-demographic questionnaire， the Sleep Dysfunction Rating Scale （SDRS）， the Ruminative Response Scale （RRS）， and the Hospital Anxiety and Depression Scale （HADS）. Sleep quality was further evaluated using the SDRS at 1-， 3-， and 6-month post-discharge. Latent class growth model was employed to delineate trajectories of sleep quality. Multivariate logistic regression analysis was subsequently performed to identify influencing factors of sleep quality. ResultsA total of 201 patients with chronic diseases were included.Based on four predefined assessment time points （baseline， 1 month， 3 months， 6 months post-discharge）， the latent class growth model identified three distinct trajectories of sleep quality： persistent high sleep disturbance （n=72， 35.82%）， moderate sleep disturbance-progression （n=73， 36.32%）， and low sleep disturbance （n=56， 27.86%）. Multivariate logistic regression analysis revealed that， compared with the low sleep disturbance group， multiple factors increased the odds of membership in the persistent high sleep disturbance group： per capita monthly household income of <3 000 yuan （β=13.131， P<0.01） or 3 000–5 000 yuan （β=5.913， P<0.05）， aged 45–65 years （β=9.536， P<0.05）， presence of 3 （β=7.792， P<0.05） or >3 comorbid chronic conditions （β=6.626， P<0.05）， as well as higher RRS （β=0.334， P<0.01） and HADS score （β=1.628， P<0.01）. Additionally， patients aged 45–65 years （β=2.777， P<0.05）， with 3 （β=3.802， P<0.01） or >3 comorbid chronic conditions （β=2.463， P<0.01）， and with higher RRS （β=0.111， P<0.01） and HDAS scores （β=0.350， P<0.05） also demonstrated significantly increased odds of belonging to the moderate sleep disturbance–progression group. ConclusionThere is significant population heterogeneity in sleep quality trajectories among patients with chronic multimorbidity， with age， per capita household monthly income， number of comorbidities， rumination， and anxiety/depression symptoms being identify as the primary influencing factors.

Objective:To analyze the evaluation of the “1+1+2M” healthcare management model (outpatient core medical staff+ward core medical staff+multi interdisciplinary team+multi department coordination) by healthcare workers in a large public hospital and its influencing factors.Methods:It was a cross-sectional study, using the judgment sampling method to select 70 healthcare workers in the hospital healthcare department in November 2024. A self-designed public hospital healthcare management model evaluation questionnaire was used to investigate the “1+1+2M” healthcare management model. A total of 70 questionnaires were distributed, and 70 valid questionnaires were collected (100%). The basic information, team integration, human resource allocation, and evaluation of healthcare management models in the healthcare workers were collected. The factors affecting healthcare worker evaluation were identified with Kruskal Wallis test and multiple logistic regression analysis.Results:Among the 70 healthcare workers included in the analysis, there were 30 doctors, 30 nursing staff, and 10 management/technical personnel; 19 males and 51 females; more than 70% of the participants were aged 50 years or younger; the length of service was (19.11±9.44) years, and the length of service for healthcare was (9.79±6.06) years. Healthcare workers showed high satisfaction with the “1+1+2M” healthcare management model, with an overall satisfaction rate of 87.14% (61/70). The evaluation of work collaboration, business norms, and mode configuration by healthcare workers was positively correlated with the evaluation of healthcare management mode [very satisfied with health management mode: relatively satisfied with work collaboration ( OR=0.064, 95% CI: 0.004-0.965), satisfied with business norms ( OR=0.018, 95% CI: 0.001-0.312), relatively satisfied with business norms ( OR=0.061, 95% CI: 0.004-0.938), satisfied with mode configuration ( OR=0.006, 95% CI: 0.000-0.111); satisfied with health management mode: satisfied with business norms ( OR=0.049, 95% CI: 0.005-0.498), satisfied with mode configuration ( OR=0.074, 95% CI: 0.006-0.943)] (all P<0.05). Conclusions:The health care staff in a large public hospital have a good evaluation of the operation effect of the “1+1+2M”health management model. The higher the evaluation of work collaboration, business norms, and model configuration by the health care staff, the higher the overall satisfaction with the health management model.

Objective The causal relationship between endometriosis(EMs)and 15 trace elements including copper,calcium,carotene,folic acid,iron,magnesium,potassium,selenium,vitamin A,vitamin B12,vitamin B6,vitamin C,vitamin D,vitamin E and zinc was analyzed by double sample Mendelian randomization(MR).Methods Multiple trace elements were used as exposure factors,and the incidence risk of EMs was used as the outcome factor for two-sample MR analysis.The data were sourced from the publicly available integrative epidemiology unit open Genome-Wide Association Studies database and Finnish Genome Research Project database.Five Mendelian randomization analysis methods were employed to investigate the causal relationship between EMs and trace elements.Additionally,sensitivity analysis was carried out to evaluate the influence of heterogeneity and horizontal pleiotropy on the results of the MR analysis.Results The impact of trace elements on various types of EMs varies.The results of the inverse variance weighted(IVW)method indicated that trace element calcium(OR=1.465,95％CI:1.094-1.962)and vitamin B6(OR=1.580,95％CI:1.146-2.178)might be risk factors for ovarian EMs.Vitamin B6(OR=0.203,95％CI:0.044-0.939)may be a protective factor for tubal EMs.The above research results were not affected by heterogeneity and horizontal pleiotropy(P＞0.05).This study did not find a causal relationship between other trace elements and EMs.Conclusion The trace elements calcium and vitamin B6 predicted by genetics may play a regulatory role in the development of EMs.

Objective:To observe the clinical efficacy of combined acupuncture and medication therapy in treating cerebral infarction in the acute stage and its impact on cerebral blood flow.Methods:A total of 160 patients with cerebral infarction were divided into 4 groups using the random number table method,with 40 cases in each group.Conventional treatment was given to all groups.Besides,the Chinese medication group received Tong Shen Fu Nao Wan;the acupuncture group received Xing Nao Kai Qiao(mind-refreshing and orifice-opening)needling therapy;the acupuncture-medication group received both Tong Shen Fu Nao Wan and Xing Nao Kai Qiao needling therapy.After 4 weeks of treatment,the clinical efficacy was assessed,and changes in the traditional Chinese medicine(TCM)symptom score and hemodynamics were compared among the four groups,as well as complications and adverse reactions.Results:After treatment,the acupuncture-medication group had a higher total effective rate compared to the other three groups(P<0.05).After the intervention,the National Institutes of Health stroke scale(NIHSS)score dropped in all groups(P<0.05)and was lower in the acupuncture-medication group than in the other three groups(P<0.05);all groups showed a decrease in the TCM symptom score(P<0.05),and the acupuncture-medication group was significantly lower than the other groups(P<0.05).After treatment,the blood flow velocity of the bilateral anterior cerebral artery(ACA),middle cerebral artery(MCA),and posterior cerebral artery(PCA)increased in every group(P<0.05),and the acupuncture-medication group had higher blood flow velocities compared to the other three groups(P<0.05).The acupuncture-medication group had the fewest number of complications among the four groups(P<0.05),and there was no statistical significance when comparing the adverse reactions among the groups(P>0.05).Conclusion:Compared to the separate use,the combined use of acupuncture and medication enhances the clinical efficacy,accelerates cerebral blood circulation,and boosts the recovery in treating cerebral infarction.

Objective To explore the objective facial appearance characteristics of patients with coronary heart disease(CHD).Methods From April 7,2019 to December 1,2022,313 patients with CHD were recruited from Dongzhimen Hospital,Beijing University of Chinese Medicine,Dongfang Hospital,Beijing University of Chinese Medicine,and the First Affiliated Hospital of Hunan University of Chinese Medicine,together with 293 healthy controls.Standardized facial images were obtained using the tongue-face diagnostic instrument.The face was divided into six regions:the forehead,left cheek,right cheek,nose,lips,and chin.Nine color parameters were extracted from each region,including red(R),green(G),blue(B),hue(H),saturation(S),value(V),lightness(L),red-green axis(a),and yellow-blue axis(b).Comparisons between groups were performed.Results Compared with the healthy group,in the forehead region,values of R,S,V,a,and b were higher in the coronary heart disease group,whereas B was lower(P<0.05);in the left cheek,nose,and chin regions,R,G,B,V,and L decreased,whereas S,a,and b increased(P<0.05);in the right cheek region,R,G,B,H,V,and L decreased,while S,a,and b increased(P<0.05);in the lips region,R,G,B,H,V,L,and a decreased,whereas S and b increased(P<0.05).Conclusion Compared with healthy individuals,patients with CHD present with a darker,more saturated facial complexion with reduced brightness,overall manifesting as"dark red complexion"and"dense but not bright color,"suggesting the pathogenesis of qi and blood circulation stagnation and internal blood stasis retention.The objective expression of facial features may have greater application value in syndrome differentiation and auxiliary diagnosis in traditional Chinese medicine.

Objective:To explore the predictive value of cervical length(CL)measured at 16-24 weeks of ges-tation for spontaneous preterm birth in twin pregnancies.Methods:A retrospective study was conducted on 1001 twin pregnancy cases,including 569 cases in the spontaneous preterm birth group and 432 cases in the term birth group.Univariate and multivariate Logistic regression analyses were used to identify factors associated with spon-taneous preterm birth.The predictive value of CL for spontaneous preterm birth was analyzed by the receiver op-erating characteristic(ROC)curve.Results:At 16-24 weeks of pregnancy,the CL in the spontaneous preterm birth group(3.460±0.866 cm)was significantly shorter than that in the term birth group(3.711±0.589 cm),and the difference was statistically significant(P=0.005).There were statistically significant differences in the cervical fun-neling and its morphology between the term birth group and the spontaneous preterm birth group(P<0.05).Multivariate Logistic regression analysis showed that monochorionicity(aOR 0.161,95％ CI 0.074-0.351) and CL at 16-24 weeks of pregnancy(aOR 0.655,95％ CI 0.496-0.864) were influencing factors for spontaneous preterm birth(P <0.05).ROC curve analysis indicated that a CL cutoff of 3.045 cm at 16-24 weeks of pregnancy predicted spontaneous preterm birth before 34 weeks,with a sensitivity of 90.2％ ,specificity of 64.9％ ,and an area under the curve of 0.650.Conclusions:Measurement of CL at 16-24 weeks of pregnancy is a potential predictor of spontaneous preterm birth in twin pregnancies.In addition,when establishing a prediction model for spontaneous preterm birth,future research should also consider cervical funnel morphology.

Objective:To retrieve, appraise and synthesize evidence regarding the prevention and management of high-output ileostomy in post-enterostomy patients, thereby providing a scientific reference for clinical practice.Methods:A computerized search was conducted, systematically exploring national and international databases, as well as the websites of pertinent associations, to gather evidence relevant to the topic. The literature types included clinical decision-making, evidence summaries, guidelines, expert consensus, and systematic reviews. The search timeframe was established from the date of database construction until 23 August 2024. The methodological quality assessment of the literature, along with the extraction and synthesis of the evidence, was performed by two independent researchers utilizing established criteria and adhering to rigorous standards.Results:A total of 13 papers were included in the review, comprising one clinical decision, four guidelines, and eight systematic reviews. Eighteen pieces of best evidence were distilled and summarized across six key areas: diagnosis and risk identification, fluid/diet/nutrition management, medication administration, skin management, monitoring and health education, and follow-up care.Conclusions:The clinical practice rationale for the prevention and management of high-output ileostomy in post-enterostomy patients, when summarized, would offer scientific and effective evidence-based support for practice changes by clinical care staff. The practical application and translation of this evidence should thoroughly consider the nuances of clinical practice in China, as well as individual patient differences, to ensure the effective implementation of the best evidence for maximizing patient benefit.