ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.

Background Indoor air quality directly affects people's health, especially the impact of chemical pollutants in residential indoor air on children and the elderly is more significant. Objective To understand the pollution status of common chemical pollutants in residential indoor air in Shijiazhuang, evaluate the health risks of chemical pollutants to school-age children and the elderly, and provide reference for controlling indoor pollution in residential environment. Methods Using stratified random sampling, a total of 60 households were selected from 2 urban areas and 1 surrounding rural area in Shijiazhuang City, specifically in July 2023 (non-heating season) and December 2023 (heating season), respectively. Relevant data was collected through on-site sampling [including CO, CO₂, PM₁₀, PM_2.5, NO₂, SO₂, O₃, ammonia, formaldehyde, benzene, toluene, xylene, total volatile organic compounds (TVOC), trichloroethylene, and tetrachloroethylene] and survey questionnaires. The pollutant concentrations were evaluated following the Standards for indoor air quality of GB/T 18883-2022, and the inhalation exposure risks of the target population were assessed based on the health risk assessment method. Results In the indoor air of the urban and rural residence in Shijiazhuang City, except for CO, NO₂, SO₂, toluene, and xylene, which did not exceed the standard limits, other pollutants showed varying degrees of exceedance. The non-qualified rates of PM₁₀, PM_2.5, and CO₂ in the urban areas were higher than those in the rural areas (P < 0.05). The seasonal difference analysis showed that the non-qualified rates of PM_2.5, PM₁₀, CO₂, trichloroethylene, and tetrachloroethylene in the urban areas were higher in the heating season than in the non-heating season (P<0.05); the non-qualified rates of ammonia and formaldehyde in the rural areas increased significantly in the non-heating season(P<0.05). The health risk assessment indicated that the maximum hazard quotient (HQ) of tetrachloroethylene for the elderly exceeded 1, while the HQ values for ammonia, formaldehyde, benzene, toluene, xylene, and trichloroethylene remained below 1 for either children or the elderly. For carcinogenic risks, the median carcinogenic risk (CR) of formaldehyde for school-aged children or the elderly fell within the range of 10⁻⁶-10⁻⁴, whereas the median CR values for benzene, trichloroethylene, and tetrachloroethylene were all below 10⁻⁶. Conclusion The primary indoor air pollutants exceeding the national standard limits in residential areas of Shijiazhuang City include CO₂, PM₁₀, TVOC, PM_2.5, formaldehyde, ammonia, trichloroethylene, and tetrachloroethylene. The levels of these pollutants exhibit significant urban-rural and seasonal variations. Special attention should be paid to the non-carcinogenic risk of tetrachloroethylene to the elderly and the carcinogenic risks of formaldehyde to school-age children and the elderly.

Objective: To understand the current situation and influencing factors of comorbidity of depressive and anxiety symptoms among middle school students in Chongqing, so as to provide a scientific basis for formulating a comprehensive strategy for the co prevention of multiple diseases among middle school students. Methods: From September to December 2024, 12 327 middle school students were selected from 6 districts and counties in Chongqing by the combination of stratified cluster sampling and convenience sampling method. The current status of depressive and anxiety symptoms was investigated by using the Center for Epidemiological Survey-Depression Scale (CES-D) and the Generalized Anxiety Disorder-7 (GAD-7). The Chi-squared test was used to compare the differences between groups with comorbidity of depressive and anxiety symptoms, multivariate Logistic regression analysis was used to analyze its related factors, and a nomogram prediction model was drawn. Results: The detection rates of depressive symptoms, anxiety symptoms and comorbidity among middle school students in Chongqing were 26.34%, 34.55% and 21.16%, respectively. Among them, the detection rates of the three types of symptoms in girls (29.80%, 40.99%, 25.15%) were all higher than those in boys (23.22%, 28.73%, 17.55%) ( χ 2=68.61, 204.23, 106.51, all P <0.01). Statistical significance was observed in the distribution of depressive and anxious symptoms among middle school students across different gender, academic stage, school district, family type, physical activity levels, parental discipline, smoking, alcohol consumption, sleep deprivation, excessive screen time, Internet addiction, and bullying ( χ 2=14.49-991.46, all P <0.01). Multivariate Logistic regression analysis showed that compared with junior high school students, ordinary high school students had a higher risk of comorbidity ( OR=2.71, 95% CI = 2.41-3.05); girls ( OR=2.17, 95%CI =1.95-2.40), non-core family ( OR=1.20, 95%CI =1.08-1.32), and good neighborhood ( OR=1.16, 95%CI =1.02-1.30), campus bullying ( OR=4.88, 95%CI =4.32-5.50), Internet addiction ( OR=4.77, 95%CI = 3.41 -6.68), parental beating and scolding ( OR=3.18, 95%CI =2.72-3.71), alcohol consumption ( OR=2.10, 95%CI =1.86- 2.37 ), and insufficient sleep ( OR=1.73, 95%CI =1.54-1.95) had higher risks with comorbidity of depression and anxiety symptoms (all P <0.05). A nomogram prediction model was constructed based on significant variables shows that C-index=0.75 (AUC= 0.75 , 95% CI=0.74-0.76, P <0.05), and the model had good predictive performance. Conclusions The current situation of comorbidity of depressive and anxiety symptoms among middle school students in Chongqing is not optimistic. The nomograms can be used to effectively predict the risk of comorbidity of depressive and anxiety symptoms in middle school students.

Background::Early detection of esophageal squamous cell carcinoma (ESCC) can considerably improve the prognosis of patients. Aberrant cell-free DNA (cfDNA) methylation signatures are a promising tool for detecting ESCC. However, available markers based on cell-free DNA methylation are still inadequate. This study aimed to identify ESCC-specific cfDNA methylation markers and evaluate the diagnostic performance in the early detection of ESCC.Methods::We performed whole-genome bisulfite sequencing (WGBS) for 24 ESCC tissues and their normal adjacent tissues. Based on the WGBS data, we identified 21,469,837 eligible CpG sites (CpGs). By integrating several methylation datasets, we identified several promising ESCC-specific cell-free DNA methylation markers. Finally, we developed a dual-marker panel based on methylated KCNA3 and OTOP2, and then, we evaluated its performance in our training and validation cohorts. Results::The ESCC diagnostic model constructed based on KCNA3 and OTOP2 had an AUC of 0.91 [95% CI: 0.85–0.95], and an optimal sensitivity and specificity of 84.91% and 94.32%, respectively, in the training cohort. In the independent validation cohort, the AUC was 0.88 [95% CI: 0.83–0.92], along with an optimal sensitivity of 81.5% and specificity of 92.9%. The model sensitivity for stage I–II ESCC was 78.4%, which was slightly lower than the sensitivity of the model (85.7%) for stage III–IV ESCC. Conclusion::The dual-target panel based on cfDNA showed excellent performance for detecting ESCC and might be an alternative strategy for screening ESCC.

Background::Evaluating the impact of digestive system diseases is vital for devising effective prevention strategies. However, comprehensive reports on the burden of digestive system diseases in China are lacking. Our study aimed to provide an overview of the burden and trends of digestive system diseases from 1990 to 2019 in China and its provinces.Methods::This cross-sectional study utilized the Global Disease Burden Study 2019 to estimate the incidence, mortality rate, disability-adjusted life years (DALYs), years of life disability, years of life lost, and changes in the burden of digestive diseases across Chinese provinces from 1990 to 2019. The analysis of disease burden primarily examines the characteristics of sub-disease distribution, time trends, age distribution, and sex distribution. Additionally, we compared provincial age-standardized DALYs for digestive diseases with the expected rates based on the socio-demographic index (SDI).Results::In 2019, there were 499.2 million cases of digestive system diseases in China, resulting in 1,557,310 deaths. Stomach cancer, colon and rectal cancer, and esophageal cancer are the top three diseases associated with mortality and DALY related to digestive system diseases. Meanwhile, cirrhosis and other chronic liver diseases, gastroesophageal reflux disease, and gallbladder and biliary diseases are the top three kinds of diseases with the highest prevalence among digestive system diseases. The risk of gastric cancer sharply increases among men after the age of 40 years, leading to a significant disparity in burden between men and women. As the SDI increased, the DALYs associated with digestive system diseases in China and its provinces showed a downward trend.Conclusion::Our study highlights the inverse correlation between DALYs associated with digestive system diseases and the SDI.

Background::Breast cancer is ranked among the most prevalent malignancies in the Chinese female population. However, comprehensive reports detailing the latest epidemiological data and attributable disease burden have not been extensively documented.Methods::In 2018, high-quality cancer surveillance data were recorded in 700 population-based cancer registries in China. We extracted data on female breast cancers (International Classification of Diseases, Tenth Revision [ICD-10]: C50) and estimated the incidence and mortality in 2022 according to the baseline data and corresponding trends from 2010 to 2018. Pathological types were classified according to the ICD for Oncology, 3rd Edition codes. Disability-adjusted life years (DALYs) were calculated as the sum of the years of life lost (YLLs) and years lived with disability (YLDs).Results::In 2022, approximately 357,200 new female breast cancer cases and 75,000 deaths occurred in China, accounting for 15.59% and 7.94% of total new cancer cases and deaths, respectively. The age-standardized incidence rate (ASIR) was 33.04 per 100,000. When analyzed by pathological type, the ASIRs for papillary neoplasms, invasive breast carcinoma, rare and salivary gland-type tumors, and other types were 1.13, 29.79, 0.24, and 1.88 per 100,000, respectively. The age-standardized mortality rate (ASMR) was 6.10 per 100,000. A total of 2,628,000 DALYs were found to be attributable to female breast cancer in China, comprising 2,278,300 YLLs and 349,700 YLDs. The ASIR, ASMR, and age-standardized rate (ASR) for DALYs in urban areas were consistently higher than those in rural areas. We observed a four-fold increase in the ASIR and ASR for DALYs and an eight-fold increase in the ASMR among females over 55 years compared with those aged under 55 years.Conclusion::These data provide invaluable insights into the latest epidemiology of female breast cancer in China and highlight the urgency for disease prevention and control strategy formulation.

Objective To investigate the changes in the structural parameters and mechanical properties of the necrotic femoral head and compare the effects of core decompression and hone grafting with those of bone cement filling on the mechanical properties and pre-vention of articular surface collapse of the necrotic femoral head.Methods Thirty-two fresh human femoral heads were collected from patients who underwent total hip arthroplasty at our hospital between June 2020 and January 2022.The femoral heads were divided into four groups:8 femoral neck fractures(TFF group),8 osteonecrosis of the femoral head(ONFH group),8 osteonecrosis of the femoral head treated with cement percutaneous injection(CPI group),and 8 osteonecrosis of the femoral head treated with core decompression and bone graft(CDBG group).Cement filling or core decompression was performed under radiographic guidance.All samples were scanned and three-dimensionally reconstructed using micro-CT.The spatial heterogeneity of the femoral head was observed,and the bone morphometric parameters of each region of interest were calculated.Mechanical analysis was performed to evaluate the femoral head parameters of dis-placement and stress in vitro.Results Bone microarchitecture and morphometry in necrotic femoral heads were markedly altered.The biomechanical properties of the necrotic zone in the femoral head were markedly weakened.After the necrotic area was filled with bone cement,the biomechanical properties of the necrotic zone of the femoral head increased significantly.In addition,after core decompres-sion and bone grafting in the necrotic area,the biomechanical properties increased significantly in the necrotic zone of the femoral head.Conclusion Bone cement filling or bone grafting in the necrotic area can change the biomechanical mechanism of the femoral head,improve the load-supporting ability,and prevent femoral head collapse.Cement filling may be a practical approach for the treatment of osteonecrosis of the femoral head that can be useful for practicing orthopedists.

Breast cancer is the most common malignant tumor among women worldwide,with incidence rates rising annually.The treatment of breast cancer has undergone significant transformations,evolving from an initial reliance on a single surgical approach to the incorporation of systemic therapy,and more recently,to subtype-specific therapy.Clinically,breast cancer is classified into luminal,HER2-positive,and triple-negative breast cancer(TNBC)based on the expression of hormone receptor(HR)and human epidermal growth factor receptor 2(HER2),with corresponding treatments including endocrine therapy,anti-HER2 targeted therapy,and chemotherapy.However,the current subtype-based treatment strategies lack personalization,with approximately 30%of patients still facing resistance and relapse.While the overall survival rate of patients with HER2-positive breast cancer has been steadily increasing,significant survival improvements have not been observed in patients with triple-negative and luminal breast cancer.To overcome the clinical bottleneck of"incomplete classification and imprecise treatment",the concept of"subtype-precise"therapy has emerged.This innovative approach involves further subclassification of existing subtypes to identify specific targets for precision treatment,characterized by broad population coverage and high specificity.Over the past decade,the multidisciplinary team at Fudan University Shanghai Cancer Center has established a comprehensive molecular portrait of Chinese Breast Cancer Genome Atlas(CBCGA).They deeply analyzed the molecular characteristics of TNBC,leading to the development of a"Fudan subtype"closely related to clinical outcomes:luminal androgen receptor subtype(LAR),which can be targeted with anti-HER2 and CDK4/6 inhibitors;the immunomodulatory subtype(IM),suitable for immunotherapy;basal-like immune-suppressed subtype(BLIS),which can be treated with platinum-based drugs or poly(ADP-ribose)polymerase(PARP)inhibitors;and mesenchymal-like subtype(MES),which can be treated with anti-cancer stem cell and anti-angiogenic therapies.The team then extended the concept of"subtype-precise"to luminal breast cancer,the subtype with the largest number,the highest proportion and the risk of recurrence for decades.They divided it into four molecular subtypes and proposing corresponding precision treatment strategies:canonical luminal subtype(SNF1),sensitive to endocrine therapy;immunogenic subtype(SNF2),amenable to immunotherapy;proliferative subtype(SNF3),treatable by CDK4/6 inhibitors;and receptor tyrosine kinase-driven subtype(SNF4),targetable with tyrosine kinase inhibitors.The team is currently conducting phase Ⅲ randomized controlled trials to further validate the"subtype-precise"therapy and promote the"subtype-precise"Fudan experience to enhance overall breast cancer treatment efficacy.Looking forward,the integration of emerging diagnostic tools,such as artificial intelligence,coupled with the continuous update of subtype-specific targets and targeted therapies,is expected to further refine and expand"subtype-precise"therapy.This approach holds great promises for enhancing patient prognosis and leading a new revolution in breast cancer treatment.

Objective:To explore the application status and research hotspots of robotic surgery system in surgical nursing based on literature analysis.Methods:Relevant literature on the application with robotic surgical nursing as the subject word was retrieved from CNKI,Wanfang Data,and VIP Chinese website from 2013 to 2022.CiteSpace software was used to extract information on authors,research institutions,and keywords,the cooperative relationships and research hotspots in this field were discussed and analyzed.Results:A total of 875 Chinese articles published between 2013 and 2022 were retrieved,and 454 articles were finally included in the analysis after deduplication screening.From 2013 to 2022,the annual number of papers published in robotic surgical nursing increased year by year,decreased slightly in 2019,and increased rapidly from 2021 to 2022,with 70 and 90 papers,respectively.The top 10 keywords with highest to lowest frequency were nursing,robotics,nursing cooperation,surgical cooperation,laparoscopy,perioperative,complications,prostate cancer,surgical nursing care and surgery.The degree of collaboration among different research institutions and authors was weak.Research hotspots included nursing cooperation and perioperative complication care.The research mainly focused on nursing experience sharing and nursing model discussion,while there were fewer studies on nursing quality standards,training models and relevant nursing interventions.Conclusion:Analysis of the application status and research hotspots of surgical nursing of robotic surgical system based on CiteSpace visualization software,can understand the research hotspots and trends of robotic surgery in the field of nursing by various research institutions and literature authors in China,and provide reference for the research direction of robotic surgery nursing.

Objective: To explore the association between adverse childhood experiences (ACEs) and nonsuicidal selfinjury (NSSI) and suiciderelated behaviors among junior high school students, so as to provide a reference basis for the prevention of junior high school students suicide. Methods: From May to June 2023, a total of 7 392 junior high school students in three districts and counties of Chongqing were selected for self-administered questionnaire survey by stratified cluster sampling and convenience sampling methods. The questionnaire survey was conducted using the Chinese version of the Childhood Trauma Scale, Adolescent NSSI Assessment Questionnaire, and Suicide Related Behavior Questionnaire. Statistical analysis was performed by using χ 2 test, multifactorial Logistic regression model, and additional interaction analysis was used to calculate the estimated relative excess risk due to interaction (RERI), attributable proportion (AP), and synergy index (S), as well as 95% CI . Results: The detection rate of NSSI among junior high school students was 38.03%, the detection rate of ACEs was 41.76%, and the detection rates of suicidal ideation, suicide planning, and suicide attempt were 27.99%, 9.90%, and 4.75%, respectively. ACEs and its dimensions, and NSSI were the influencing factors for suiciderelated behaviors (OR=1.83-10.66, P<0.01). The result of the additive interaction showed that ACEs and NSSI, PN and NSSI, EA and NSSI, EN and NSSI all had additive interactions on suiciderelated behaviors (RERI=0.45-39.15, AP=0.10-1.09, S=1.02-3.92). And ACEs and its dimensions had additive interactions with NSSI on suiciderelated behaviors, for junior high school students with both ACEs and NSSI had 11.45, 20.38, and 28.76 times the risk of suicidal ideation, suicidal planning, and suicidal attempts as compared to junior high school students without ACEs and without NSSI (P<0.05). Conclusions ACEs and NSSI among junior high school students have an additive interaction effect on suicide related behaviors. ACEs and NSSI should be reduced to prevent suicidal behavior among middle school students.