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 investigate the hematological characteristics of the rare McLeod phenotype associated with X-linked chronic granulomatous disease, KEL and XK gene analysis, identification of unexpected antibodies, serological characteristics of high-frequency antigen antibodies, and transfusion strategies. Methods: Serological methods were employed to determine the ABO, Rh, and other blood group system antigen phenotypes of the child, along with screening and identification of unexpected antibodies. The titers of high-frequency antigen antibodies were measured using tube antihuman globulin and microcolumn gel card techniques. Kell blood group typing was performed using serological and genotyping methods, while XK gene sequencing was conducted via next-generation sequencing. Peripheral blood smears from the child's mother were examined for erythrocyte morphology. Results: The child's serological results were as follows: blood group O, ccDEE, MM, Le(a-b+), JK(a+b+), Fy(a+b-), and Kell phenotype K-k+, Kp(a-b+). Plasma analysis revealed alloantibodies anti-C、e, as well as a high-frequency antigen antibody anti-KL, with titers of 512 (tube method) and 2 048 (microcolumn gel method). Genotyping results showed KEL genotype K-k+, Kp(a-b+), Js(a-b+), while XK gene NGS identified a hemizygous deletion of exons 1-3 (XK N. 01), consistent with XK: -1 or Kx-(McLeod). The mother's peripheral blood smear exhibited prominent acanthocytes. Conclusion: The hematological features of this rare McLeod phenotype with X-CGD include weakened Kell antigen expression and a complete exon deletion in the XK gene. Early clinical attention should be given to the symptoms and laboratory diagnosis of X-linked chronic granulomatous disease in pediatric patients. XK genotyping for McLeod phenotype should be prioritized to guide cautious transfusion strategies, preventing life-threatening complications due to incompatible blood products.

BACKGROUND: Valvular heart disease (VHD) has become increasingly common with the aging in China. This study aimed to evaluate regional differences in the clinical features, management strategies, and outcomes of patients with VHD across different regions in China. METHODS: Data were collected from the China-VHD Study. From April 2018 to June 2018, 12,347 patients who presented with moderate or severe native VHD with a median of 2 years of follow-up from 46 centers at certified tertiary hospitals across 31 provinces, autonomous regions, and municipalities in Chinese mainland were included in this study. According to the locations of the research centers, patients were divided into five regional groups: eastern, southern, western, northern, and central China. The clinical features of VHD patients were compared among the five geographical regions. The primary outcome was all-cause mortality or rehospitalization for heart failure. Kaplan-Meier survival analysis was used to compare the cumulative incidence rate. RESULTS: Among the enrolled patients (mean age, 61.96 years; 6877 [55.70%] male), multiple VHD was the most frequent type (4042, 32.74%), which was mainly found in eastern China, followed by isolated mitral regurgitation (3044, 24.65%), which was mainly found in northern China. The etiology of VHD varied significantly across different regions of China. The overall rate of valve interventions was 32.67% (4008/12,268), with the highest rate in southern China at 48.46% (205/423). In terms of procedure, the proportion of transcatheter valve intervention was relatively low compared to that of surgical treatment. Patients with VHD in western China had the highest incidence of all-cause mortality or rehospitalization for heart failure. Valve intervention significantly improved the outcome of patients with VHD in all five regions (all P  <0.05). CONCLUSIONS: This study revealed that patients with VHD in China are characterized by significant geographic disparities in clinical features, treatment, and clinical outcomes. Targeted efforts are needed to improve the management and prognosis of patients with VHD in China according to differences in geographical characteristics. REGISTRATION ClinicalTrials.gov , NCT03484806.
Aged ; Female ; Humans ; Male ; Middle Aged ; China/epidemiology* ; Heart Valve Diseases/therapy* ; Kaplan-Meier Estimate ; Tertiary Care Centers ; Treatment Outcome

Objective To investigate the characteristic distribution of traditional Chinese medicine(TCM)syndrome types in gouty arthritis patients complicated with bone erosion,and to analyze the associated factors.Methods A total of 318 gouty arthritis patients hospitalized in the Rheumatology and Immunology Department of Foshan Hospital of Traditional Chinese Medicine between November 2021 and November 2023 were included.The patients were allocated to a bone erosion group(142 cases)and a non-bone erosion group(176 cases)according to the findings of musculoskeletal ultrasound.The clinical data of gender,age,body height,body mass,body mass index(BMI),systolic blood pressure(SBP),diastolic blood pressure(DBP),course of gout,findings of musculoskeletal ultrasound,complete blood count[white blood cell count(WBC),platelet count(PLT),hemoglobin(Hb),and red blood cell count(RBC)],blood uric acid(UA),creatinine(Cr),erythrocyte sedimentation rate(ESR),C-reactive protein(CRP),total cholesterol(TC),and low-density lipoprotein cholesterol(LDL-C)of the patients during hospitalization were collected.Differences in general information,laboratory parameters,and distribution of TCM syndrome types were compared between the two groups,and then the potential influencing factors of bone erosion in gouty arthritis patients were explored.Results(1)Analysis of general information showed that the bone erosion group had longer course of gout and slightly lower BMI than that the non-bone erosion group,and the differences were statistically significant(P＜0.05 or P＜0.01).However,there were no statistically significant differences in age,body height,body mass,SBP and DBP among the patients of the two groups(P>0.05).(2)Analysis of laboratory indicators showed that the levels of Cr,UA,ESR and TC in the bone erosion group were significantly higher than those in the non-bone erosion group,and the differences were statistically significant(P＜0.05 or P＜0.01).However,no statistically significant differences in the levels of CRP,WBC,RBC,PLT and LDL-C were presented between the two groups(P＞0.05).(3)Analysis of the distribution of TCM syndromes showed that in the bone erosion group,stagnant-heat obstruction syndrome accounted for the largest proportion(33.10%),followed by phlegm-turbidity obstruction syndrome(29.58%),damp-heat accumulation syndrome(22.54%),and liver-kidney yin deficiency syndrome(14.79%);in the non-bone erosion group,damp-heat accumulation syndrome accounted for the largest proportion(38.07%),followed by liver-kidney yin deficiency syndrome(32.95%),phlegm-turbidity obstruction(14.77%),and stagnant-heat obstruction(14.20%).There was statistically significant difference in the distribution of TCM syndromes between the two groups(P＜0.01).(4)The results of logistic regression analysis suggested that the higher the levels of ESR,UA,and TC,the longer the course of gout.And the TCM syndromes of stagnant-heat obstruction and phlegm-heat obstruction were the risk factors for bone erosion in gouty arthritis(P＜0.05 or P＜0.01).Conclusion Gouty arthritis patients with bone erosion exhibit higher UA,ESR,Cr,and TC levels,longer course of disease,and higher incidence of stagnant-heat obstruction syndrome and phlegm-turbidity obstruction syndrome.Bone erosion in gouty arthritis is closely associated with elevated UA,ESR,TC,and some specific TCM syndrome patterns.

Objective To investigate the relationship between different interleukins (ILs) and gynecological tumors, including cervical cancer, endometrial cancer, and uterine leiomyoma using two-sample Mendelian randomization (MR) analysis. Methods IL and gynecological tumor data were obtained from European populations by using the IEU OpenGWAS open database. Two-sample MR analysis was applied, different interleukins were used as exposure factors, significant SNP in GWAS data were selected as instrumental variables, and the instrumental variables were independent of each other. The risk of three kinds of gynecological tumors was analyzed separately to explore the causal relationship between ILs predicted by genes and outcome indicators. The TwoSampleMR package in R language (4.3.1) software was used for statistical analysis. MR analysis was performed using inverse variance weighted, MR Egger regression, weighted median, simple mode, and weighted mode methods. Results IL-18 receptor 1 (P=0.039) and IL-24 (P=0.025) were negatively correlated with the risk of cervical cancer. IL-4 (P=0.040), IL-21 (P=0.026), and IL-37 (P=0.027) were positively correlated with the risk of endometrial cancer. IL-15 receptor subunit alpha (P=0.005) was negatively correlated with the risk of endometrial cancer. IL-17A (P=0.005) and IL-37 (P=0.018) were negatively correlated with the risk of uterine leiomyoma. IL-21 (P=0.035) was positively correlated with the risk of uterine leiomyoma. Conclusion Genetically predicted IL-4, IL-15Rα, IL-17A, IL-18R1, IL-21, IL-24, and IL-37 are causally associated with the risk of three gynecological tumors. Further exploration of the molecular mechanism of ILs in gynecological tumors may provide potential therapeutic targets for the treatment of gynecological tumors.

Objective To investigate the growth, development and health status of primary and secondary school students in Xinzhou District of Wuhan, and analyze the detection and change trend of common diseases in primary and secondary school students, and to provide a basis for relevant departments to formulate prevention and control measures of common diseases in students. Methods The monitoring data of common diseases and health influencing factors of primary and secondary school students in Xinzhou District from 2019 to 2022 were analyzed and compared according to different genders, different grades and ages. SPSS 20.0 software was used to analyze the data of detection rates of myopia, dental caries, obesity, malnutrition and abnormal spinal curvature. Results The overall detection rates of myopia, dental caries, malnutrition, obesity and abnormal spinal curvature were 57.00%, 58.45%, 4.60%, 14.91%, and 6.33%, respectively, in Xinzhou District from 2019 to 2022. The annual change rates were 7.22%, 15.10%, -2.72%, 13.29%, and 4.91%, respectively. The detection rates of myopia, dental caries, obesity and abnormal spinal curvature showed an increasing trend in each year (χ² ≥17.22, P<0.001). The detection rates of myopia and malnutrition increased with the increase of age and school level (both χ²≥42.37, P<0.001), while the opposite was true for the detection rates of dental caries and obesity (both χ²≥14.26, P<0.001). The detection rates of myopia and dental caries were higher in girls than in boys (both χ²≥33.66, P<0.001), while the detection rates of obesity and abnormal spinal curvature were higher in boys than in girls (both χ²≥8.22, P<0.005). The detection rates of myopia, dental caries, obesity and abnormal spinal curvature in 2019 were lower than those in 2020-2022 (χ²≥4.11, P<0.05), while the detection rates of malnutrition had decreased. Conclusion The growth, development and health status of primary and secondary school students in Xinzhou District are serious. The detection rate of common diseases such as myopia, dental caries, obesity and abnormal curvature of the spine is on the rise, which should be the focus of the surveillance work of common diseases in primary and secondary school students in the future, and comprehensive intervention measures are urgently needed to prevent and control these common diseases.

Objective To establish an expert consensus on the management of low anterior resection syndrome(LARS)in patients with rectal cancer post-surgery(hereinafter referred to as"consensus"),aiming to standardize the related work of medical institutions in the context of post-operative LARS.Methods A comprehensive search of domestic and international databases was conducted to collect guidelines,expert consensuses,systematic reviews,evidence summaries,and original research related to post-operative LARS in rectal cancer published from the establishment of the databases until August 2024.Based on clinical practice experience,a preliminary draft of the"consensus"was formed.From September to November 2024,22 experts were invited to participate in 2 rounds of expert consultations,during which the draft content was revised and improved,and the final version of the"consensus"was determined through expert validation.Results A total of 22 experts responded,achieving a response rate of 100％.The effective recovery rate of the consultation questionnaires in both rounds was 100％,with an expert authority coefficient of 0.89,a judgment coefficient of 0.97,and a familiarity degree of 0.84.The Kendall harmony coefficients for the 2 rounds of expert consultations were 0.122 and 0.136,respectively(P＜0.001).This consensus covers 5 main aspects:definition,assessment,prevention,treatment,and follow-up management of LARS.Conclusion This consensus demonstrates a high level of scientific rigor and can provide a strong reference for clinical nursing personnel in the specialized care of rectal cancer patients with post-operative LARS.