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.

BackgroundNon-suicidal self-injury （NSSI） behavior among adolescents has become a global public health concern. Anxiety and depression are considered key factors influencing NSSI behavior， while social support may play a protective role in alleviating emotional and behavioral issues. However， existing research has primarily focused on the direct impact of individual factors on NSSI behavior， with insufficient exploration of the combined effects of anxiety， depression and social support. ObjectiveTo investigate the direct effect of anxiety on NSSI， the mediating role of depression and the moderating role of social support in relationship between anxiety and NSSI behavior， thus to provide references for the prevention and intervention of NSSI behavior among adolescents. MethodsIn February 2022， a total of 40 820 students in grades 7 to 12 across 10 middle schools in a district of Chengdu were selected as participants， and they were assessed using Generalized Anxiety Disorder Scale-7 item （GAD-7）， Patient's Health Questionnaire Depression Scale-9 item （PHQ-9）， Social Support Scale for Urban Students （SSSUS） and Adolescent Self-Harm Scale （ASHS）. Pearson correlation analysis was conducted to examine the correlations between scale scores among adolescents with NSSI behaviors. Mediation and moderation analyses were performed using Process 3.5 in SPSS， and the significance was tested with bootstrapping. The interaction was visualized by using simple slope analysis. ResultsAmong 34 534 （84.60%） valid respondents， 542 adolescents （1.57%） reported engaging in NSSI behavior. Significant differences in gender， GAD-7 scores， PHQ-9 scores， and SSSUS scores were observed between NSSI behavior group and non-NSSI group （χ²/t=62.889， 71.120， 94.365， -41.464， P<0.01）.Adolesents with NSSI showed positive correlations between GAD-7 scores and both ASHS and PHQ-9 scores （r=0.158， 0.166， P<0.01）. PHQ-9 scores were positively correlated with ASHS scores （r=0.364， P<0.01）， but negatively correlated with SSSUS scores （r=-0.290， P<0.01）. SSSUS scores were negatively correlated with ASHS scores （r=-0.247， P<0.01）. Depression partially mediated the relationship between anxiety and NSSI behavior， with an effect size of 0.544 （95% CI： 0.162~0.944）， accounting for 35.79% of the total effect. Social support moderated the relationship between depression and NSSI bahavior， with an effect value of -0.082 （95% CI： -0.135~-0.029）. ConclusionAnxiety not only directly influences NSSI bahavior among adolescents， also indirectly exacerbates it through depression， while social support mitigates the impact of depression on NSSI behavior. ［Funded by Youth Project of National Natural Science Foundation of China （number， 82401812）； Project of Health Commission of Sichuan Province （number， 24LCYJPT18）］

BackgroundThe distressingly high prevalence of depressive symptoms among adolescents exerts profound impacts on their physical and psychological development， urgently necessitating effective preventive interventions. Existing studies， however， have predominantly focused on isolated risk factors， neglecting to construct an integrated model that systematically disentangles the intricate relationships linking parenting styles， learning burnout， and childhood trauma to adolescent depressive symptoms. Moreover， the potential protective roles of social support and psychological resilience in this context remain insufficiently elucidated. ObjectiveTo construct a structural equation model encompassing multiple pathways to unravel the comprehensive mechanisms through which negative parenting styles， childhood trauma， learning burnout， psychological resilience， and social support collectively influence adolescent depressive symptoms， thereby providing evidence-based intervention strategies. MethodsA stratified sampling technique was utilized to recruit 5 865 students from 12 middle schools in Chengdu City， Sichuan Province from March to May 2022. Participants were assessed using the following validated instruments： the Short-form Egna Minnen av Barndoms Uppfostran （s-EMBU）， the Childhood Trauma Questionnaire-Short Form （CTQ-SF）， the Adolescent Student Burnout Inventory， the Patients' Health Questionnaire Depression Scale-9 item （PHQ-9）， the Social Support Rating Scale （SSRS），and the Connor-Davidson Resilience Scale （CD-RISC）. A partial least squares structural equation modeling （PLS-SEM） approach was employed to construct a predictive framework examining the complex network of pathways through which negative parenting styles， childhood trauma， learning burnout， psychological resilience，and social support collectively influence depressive symptoms in adolescents. ResultsThe PHQ-9 scores demonstrated significant positive correlations with the scores on s-EMBU overprotection subscale （r=0.272， P<0.01）， s-EMBU rejection subscale （r=0.368， P<0.01）， CTQ-SF （r=0.288， P<0.01） and Adolescent Student Burnout Inventory （r=0.587， P<0.01）. Conversely， significant negative correlations were observed between PHQ-9 scores and both SSRS （r=-0.532， P<0.01） and CD-RISC scores （r=-0.418， P<0.01）. Negative parenting styles （β=0.113， 95% CI： 0.087-0.138） and learning burnout （β=0.339， 95% CI： 0.315-0.364） emerged as significant positive predictors of depressive symptoms， with childhood trauma mediating the relationship between negative parenting styles and depressive symptoms （effect size=0.018， 95% CI： 0.013-0.024）. Social support servesed as a mediating pathway between negative parenting styles and depressive symptoms （β=0.080， 95% CI： 0.069-0.092）， as well as between negative parenting styles and childhood trauma （β=0.041， 95% CI： 0.032-0.050）. It also functioned as an intermediary pathway linking learning burnout to depressive symptoms （β=0.092， 95% CI： 0.081-0.104） and connecting learning burnout with childhood trauma （β=0.048， 95% CI： 0.037-0.058）. Additionally， psychological resilience serveed as a mediating pathway between negative parenting styles and depressive symptoms （β=0.004， 95% CI： 0.002-0.007）， between learning burnout and depressive symptoms （β=0.037， 95% CI： 0.023-0.052）， and between childhood trauma and depressive symptoms （β=0.003， 95% CI： 0.001-0.006）. ConclusionLearning burnout exerts a direct effect on adolescent depressive symptoms. Negative parenting styles influence depressive symptoms both directly and indirectly through childhood trauma. Furthermore， social support and psychological resilience serve as mediator linking negative parenting styles and learning burnout to depressive symptoms in adolescents. ［Funded by Science and Technology Project of the Health Commission of Sichuan Province （number， 24LCYJPT18）］

Foodborne illnesses caused by Salmonella pose significant threats to worldwide public health safety.In this study,a rapid method for screening viable Salmonella in oyster sauce and milk was developed by utilizing an electronic microbial growth analyzer(EMGA).Target food samples were diluted 10-fold with RVS broth and loaded into test tubes.Test tubes were positioned in the EMGA to determine the bacterial growth curves and the time required to reach the maximum growth rate(Tmgr).Using Salmonella typhimurium(S.typhimurium)asan model species,there was linear relationship between the logarithmic value of viable bacterial concentration(lgC)and Tmgr over the range of 5×101-5×106 CFU/mL,with a detection limit of 10 CFU/mL.For oyster sauce,the regression equation was Tmgr(min)=-80.775lg[C/(CFU/mL)]+754.96(R2=0.9907),and the recovery rates of S.typhimurium ranged from 95.2%to 119.8%,with relative standard deviations(RSD)ranging from 3.5%to 16.3%.For milk,the regression equation was Tmgr(min)=-71.922 lg[C/(CFU/mL)]+618.65(R2=0.9985),with recovery rates ranging from 98.4%to 110.6%and RSD ranging from 6.4%to 12.8%.The EMGA method required only one portable instrument,and involving only three manual steps,i.e.,dilution,transfer,and insertion.When S.typhimurium contamination reached 106 CFU/mL,the total time consumption,from the unwrapping of samples to the readout of bacterial concentration,was no more than 7 h.When applied to detection of actual oyster sauce and milk samples,the new method demonstrated strong consistency with plate counting results in positive detection rates.This method was superior to the plate counting method,which was generally considered as a gold standard,in terms of accuracy,precision,simplicity and efficiency,representing a promising alternative for the on-site screening and quantification of viable Salmonella in oyster sauce and milk products.

To investigate the characteristics and differences of immune cell infiltration between different SDHx gene expression and pheochromocytoma/paraganglioma(PPGL).

Objective:To investigate the factors influencing the prognosis of critically ill patients and the predictive value of the C-reactive protein-albumin-lymphocyte (CALLY) index.Methods:A retrospective analysis was conducted on the clinical data of 122 critically ill patients admitted to Guoyao Dongfeng General Hospital affiliated with Hubei University of Medicine from June 2022 to December 2023. Patients were divided into a death group and a survival group based on their 28-day prognosis. Clinical data were compared between the two groups to analyze the factors influencing prognosis and assess the predictive value of various indicators. Normally distributed measurement data were expressed as Mean±SD, and intergroup comparisons were performed by independent samples t-test; non-normally distributed measurement data were expressed as M( Q1,Q3), and intergroup comparisons were performed by the Mann-Whitney U test. Counting data were expressed as case (%), and intergroup comparisons were performed by the χ2 test. Multivariate logistic regression was used to analyze factors influencing patient prognosis, and receiver operating characteristic (ROC) curves were plotted to analyze the predictive value of each indicator. Results:The Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) score, blood lactate, CRP, and B-type natriuretic peptide levels in the death group were higher than those in the survival group [22 (17, 30) points vs. 17 (14, 22) points, (4.8±1.4) mmol/L vs. (3.3±1.0) mmol/L, 134 (83, 2 381) mg/L vs. 13 (10, 27) mg/L, 259 (111, 592) ng/L vs. 108 (40, 247) ng/L; Z=3.04, P=0.002; t=5.79, P<0.001; Z=8.57, P<0.001; Z=3.28, P=0.001, respectively]. Albumin, neutrophil count, lymphocyte count (LYC), and the CALLY index were lower in the death group than in the survival group [(31±5) g/L vs. (37±6) g/L, (58±9)×10 9/L vs. (63±10)×10 9/L, 0.6 (0.4, 0.8)×10 9/L vs. 1.3 (0.8, 1.7)×10 9/L, 0.03 (0.02, 0.11) vs. 0.26 (0.13, 0.49); t=6.05, P<0.001; t=3.04, P=0.003; Z=5.82, P<0.001; Z=6.52, P<0.001, respectively]. Multivariate logistic regression analysis indicated that the APACHE Ⅱ score and CRP were risk factors for poor prognosis in critically ill patients ( OR=1.349, 95% CI: 1.004-1.821, P=0.048; OR=1.006, 95% CI: 1.003-1.010, P=0.001, respectively), while LYC and the CALLY index were protective factors ( OR=0.297, 95% CI: 0.111-0.795, P=0.016; OR=0.989, 95% CI: 0.955-0.999, P=0.001, respectively). The area under the ROC curve for the CALLY index predicting 28-day mortality in critically ill patients was 0.872 (95% CI: 0.800-0.926), which was higher than that of the APACHE Ⅱ score, LYC, and CRP [0.673 (95% CI: 0.582-0.756), 0.664 (95% CI: 0.573-0.748), 0.576 (95% CI: 0.482-0.665), respectively]. The cut-off values were 0.06, 20 points, 0.8×10 9/L, and 50 mg/L, respectively. When the CALLY index was 0.06, the specificity was 97.65%, the sensitivity was 72.97%, and the Youden index was 0.706. Conclusions:The APACHE Ⅱ score, CRP, LYC, and CALLY index are all factors influencing the prognosis of critically ill patients. The CALLY index has certain predictive value, but its false negative rate is relatively high. Further combination with other indicators is needed to improve its predictive value.

Objective To construct a nursing follow-up checklist for patients undergoing autologous hematopoietic stem cell transplantation,providing a basis for postoperative follow-up care.Methods Using evidence-based methods,the literature from major guide websites and databases using Chinese and English search terms was retrieved,and their quality was evaluated.The relevant items were extracted,and a first draft was formed.15 experts were selected in relevant fields from 14 tertiary hospitals in 13 provinces,cities,and autonomous regions across the country for Delphi inquiry.The nursing follow-up checklist was revised again based on expert opinions and clinical practice.The nursing follow-up checklist was initially applied and then revised again to form the final draft.Results 15 experts include 12 undergraduate and 3 master's degree holders.The positivity coefficients of the 2 rounds of inquiry were 100％;the authority coefficients of the experts were 0.815;the Kendall coefficients were 0.119 and 0.144,respectively;the differences were statistically significant(P＜0.001).The final nursing follow-up checklist was formed,which includes 6 primary indicators,including physiological status,psychological status,social and family support,living conditions,disease knowledge,and laboratory tests.19 patients(95％)found the follow-up content to be comprehensive.The follow-up nurses's satisfaction rate exceeded 85％.There were 27 secondary indicators and 61 tertiary indicators,with coefficients of variation of all indicators less than 0.25.Conclusion The nursing follow-up checklist is scientific,reliable,and practical,which can provide a basis for clinical nursing staff to follow up and comprehensively manage patients after autologous hematopoietic stem cell transplantation.

Objective To observe the effectiveness and safety of netupitant/palonosetron in the treat-ment of chemotherapy-induced nausea and vomiting(CINV)in hematologic tumor patients undergoing autol-ogous and allogeneic stem cell transplantation.Methods Adult hematologic tumor patients who received net-upitant/palonosetron to prevent chemotherapy-induced nausea and vomiting CINV during pre-transplant chemotherapy at West China Hospital of Sichuan University from January to September 2022 were collected.On the first and third day of pre-transplant chemotherapy,netupitant/palonosetron was orally administered one hour before the infusion of pre-transplant chemotherapy drugs,for a total of two doses.The nausea and CINV status of the patients from the start of pre-transplant chemotherapy to 7 days after stem cell infusion were recorded.Results As a result,a total of 125 patients with hematological tumors were included,and the complete remission rates during pre-treatment chemotherapy were 72.8%,80.0%and 66.4%in the acute phase,delayed phase,and total phase,respectively.The rates of no vomiting were 89.6%,92.0%and 72.8%,respectively.The rates of no rescue medication were 95.2%,93.6%and 73.6%,respectively.The complete remission rate of 33 plasma cell tumors and 46 leukemia and myelodysplastic syndrome patients exceeded 70%,and the complete remission rate of 46 lymphoma patients exceeded 90%.The complete response rate in the delayed phase of the pre-treatment CHiGCB regimen(chidamide+busulfan+gemcitabine+cladribine)was 93.5%,which was higher than the complete response rate of the BenMel regimen(bendamustine+mel-phalan)(72.7%)and the CHiFAB regimen(chidamide+busulfan+fludarabine+cytarabine)(71.7%).The complete remission rate during the follow-up period of the CHiGCB regimen was 91.3%,which was higher than that of the CHiFAB regimen(65.2%),with the statistically significance(P<0.05).Conclusion Netu-pitant/palonosetron can effectively control CINV in patients undergoing autologous or allogeneic hematopoiet-ic stem cell transplantation for hematologic tumors.

ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.