BackgroundSocial support can help alleviate depressive symptoms in patients with major depressive disorder （MDD） and improve individual levels of empathy. The higher the level of empathy， the lower the probability of depressive symptoms. At present， the relationship between social support， empathy and depressive symptoms in MDD patients is unclear. ObjectiveTo explore the pathway of empathy in the relationship between social support and depressive symptoms in patients with MDD， so as to provide references for clinical treatment of MDD patients. MethodsA total of 126 patients who visited the outpatient clinic of Tianjin Anding hospital from July 2020 to September 2022 and met the diagnostic criteria for Major Depressive Disorder （MDD） according to the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） were selected as the study subjects. Hamilton Depression Scale-17 item （HAMD-17）， Interpersonal Reactivity Index （IRI） and Social Support Rating Scale （SSRS） were used for assessment. Pearson correlation analysis was conducted to examine the correlations among the scale scores. Path analysis was performed using Model 4 of the Process 3.4.1. Bootstrap method was used to test the path effects. ResultsAmong MDD patients， HAMD-17 total score was positively correlated with IRI total score and its subscales of fantasy and personal distress （r=0.225， 0.213， 0.220， P<0.05）. HAMD-17 total score was negatively correlated with SSRS total score and its subscales of subjective support and support utilization （r=-0.211， -0.181， -0.208， P<0.05）. The score of support utilization subscale of SSRS was positively correlated with IRI total score and its subscale of perspective taking and empathic concern （r=0.257， 0.261， 0.331， P<0.01）. Empathy served as a pathway between support utilization and depressive symptoms， with an indirect effect of 0.217 （95% CI： 0.060~0.426）， and the effect size was 36.90%. ConclusionEmpathy may serve as a pathway between support utilization and depressive symptoms in patients with MDD.

ObjectiveTo investigate the change in the activity of hepatitis B virus （HBV）-specific CD8⁺ T cells after pegylated interferon-α-2b （PEG-IFN-α-2b） therapy in HBeAg-negative patients with chronic HBV infection. MethodsA total of 53 HBeAg-negative patients with chronic HBV infection who attended The First Affiliated Hospital of Xinxiang Medical University and Tangdu Hospital of Air Force Mdical University from April 2020 to June 2022 were enrolled and treated with PEG-IFN-α-2b （180 μg/week， subcutaneous injection） antiviral therapy. The study endpoint was HBsAg clearance （course of treatment<48 weeks） or 48 weeks （course of treatment≥48 weeks）. Peripheral blood mononuclear cells were isolated at baseline and study endpoint， and peripheral blood T cell counts were measured. Enzyme-linked immunospot assay was used to measure the frequency of HBV-specific CD8⁺ T cells secreting perforin， granzyme B， and interferon-γ. A total of 17 HLA-A^*02-restricted patients were selected， and CD8⁺ T cells were purified to establish direct- and indirect-contact co-culture systems for HBV-specific CD8⁺ T cells and HepG2.2.15 cells. The level of lactate dehydrogenase in supernatant was measured to calculate the mortality rate of HepG2.2.15 cells， and the levels of HBV DNA， cytotoxic molecules， and cytokines in supernatant were also measured. Flow cytometry was used to measure the expression of apoptosis ligands， and the cytotoxicity of HBV-specific CD8⁺ T cells was evaluated. The independent samples t-test or the paired t-test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test or the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between two groups. ResultsThe HBsAg clearance rate at study endpoint was 30.19% （16/53）. There were no significant differences in peripheral blood T cell counts （CD3⁺， CD4⁺， and CD8⁺ T cells） between baseline and study endpoint （P>0.05）. At study endpoint， there was a significant increase in the frequency of HBV-specific CD8⁺ T cells secreting perforin， granzyme B， and interferon-γ （U=177.50， t=11.90， U=186.50， all P<0.001）， and the patients with HBsAg clearance had a significantly higher frequency of such HBV-specific CD8⁺ T cells than those without HBsAg clearance （U=120.50， t=2.73， U=121.50， all P<0.01）. In the direct- and indirect-contact co-culture systems at study endpoint， HBV-specific CD8⁺ T cells induced a significant reduction in HBV DNA in the supernatant of HepG2.2.15 cells （all P<0.001） and significant increases in the secretion of interferon-γ and tumor necrosis factor-α （all P<0.05）； in the direct-contact co-culture system， HBV-specific CD8⁺ T cells induced significant increases in the mortality rate of HepG2.2.15 cells （13.62%±3.27% vs 11.39%±2.40%， t=2.27， P=0.030） and the secretion of perforin and granzyme B （t=72.50， U=52.50， both P<0.05）. In the direct- and indirect-contact co-culture systems， compared with HBV-specific CD8⁺ T cells from the patients without HBsAg clearance， the HBV-specific CD8⁺ T cells from patients with HBsAg clearance had a significantly greater reduction in HBV DNA （P<0.05） and significant increases in the secretion of interferon-γ and tumor necrosis factor-α （P<0.05）. ConclusionPEG-IFN-‍α‍-2b therapy can help to achieve a relatively high HBsAg clearance rate in HBeAg-negative patients with chronic HBV infection， and the activity of HBV-specific CD8⁺ T cells is significantly enhanced， which is closely associated with HBsAg clearance.

OBJECTIVE To analyze and identify the metabolites of pirtobrutinib （PTN） in rats， and clarify the possible metabolic pathways of PTN in rats. METHODS Six rats were intragastrically administered with 10 mg/kg PTN suspension. Blood samples were collected from the rats 30 minutes before administration and at 0.25， 0.5， 1， 2， 4， 6， 8， 12， 24 hours after administration. Urine and feces samples were collected 12 hours before administration and 24 hours after administration. UHPLC- Orbitrap Exploris 240 system combined with Compound Discoverer 3.0 and Xcalibur 2.0 software were adopted for structural identification and metabolic pathway analysis of PTN metabolites in rat plasma， urine， and feces. RESULTS A total of 29 PTN metabolites were identified， including 17， 19 and 22 metabolites in plasma， urine and feces， respectively. The metabolic pathways of PTN mainly included oxidation， sulfation， glucuronidation， etc.， and its metabolites were mostly combination products of two or more different metabolic forms. In detail， a total of 26 metabolites were associated with phase Ⅰ metabolic reactions （14 oxidation metabolites， 9 reduction/dehydrogenation metabolites， 8 demethylation metabolites， and 5 hydrolysis metabolites）. Meanwhile， a total of 20 products were involved in phase Ⅱ metabolites （14 sulfation metabolites and 8 glucuronic acid binding metabolites）. CONCLUSIONS PTN exhibits a diverse range of metabolites in rat fecal samples， with the primary metabolic pathways being oxidation， sulfation， glucuronidation， and others.

Objective:To construct a nursing quality evaluation indicator system for pulse indicator continuous cardiac output (PiCCO) monitoring and provide a basis for evaluating the nursing quality of PiCCO monitoring.Methods:Using Donabedian′s "structure-process-result" three-dimensional quality evaluation model as the theoretical framework, the nursing quality evaluation indicator system for PiCCO was established through literature search, Delphi expert correspondence, and hierarchical analysis during the period May to August 2023.Results:Of the 22 experts, 6 were male and 16 were female, aged (46.59 ± 4.34) years. The return rates of the questionnaires of the 2 rounds of expert correspondence were both 100%, the coefficients of expert authority were both 0.945, and the Kendall coordination coefficients were 0.045-0.186 ( χ2 values were 2.00-221.46, all P<0.05) and 0.045-0.132 ( χ2 values were 2.00-82.16, all P<0.05), respectively. The finalized nursing quality evaluation indicator system for PiCCO included 3 primary indicators, 7 secondary indicators, and 36 tertiary indicators. Conclusions:The nursing quality evaluation indicator system for PiCCO is practical and scientific, which can provide reference for PiCCO monitoring nursing quality evaluation.

Objective:To evaluate the effectiveness of entrustable professional activities (EPAs) in the general practice internship of undergraduate clinical medicine students, identify issues that need improvement in the internship, and enhance medical students' competence.Methods:A total of 75 students in the five-year (English class) clinical medicine program enrolled in 2018 and 2019 who participated in general practice internship in Renji Hospital affiliated to Shanghai Jiao Tong University School of Medicine from October 2021 to October 2023 were selected as study subjects. The design of core EPAs was adopted to assess the correlation among different EPA dimensions and to analyze the qualified rates.Results:The evaluation of EPAs showed that EPA2 (practicing respect, understanding and teamwork) had the highest mean score of 9.33, and EPA10 (chronic disease management and management of key populations) had the lowest mean score of 8.08. A supervision level of 3a and above was used as the criterion for qualification. The supervision levels of the students' EPAs were mostly concentrated at levels 3a and 3b. The highest qualified rate was for EPA2 (practicing respect, understanding and teamwork) at 85.33%, followed by EPA1 (complying with the rules of the profession and demonstrating professionalism) at 80.00% and EPA8 (reviewing information and solving clinical problems) at 72.00%. The lowest qualified rate was for EPA10 (chronic disease management and management of key populations) at 33.33%, followed by EPA4 (analyzing and interpreting test results) at 57.33%.Conclusions:EPAs concretize competency evaluation, which can effectively reflect the "competency-oriented" training objectives encompassing multiple elements such as knowledge, skills, values, and attitudes, while maintaining professional specificity. Undergraduates demonstrated strengths in professionalism and academics, but showed deficiencies in community chronic disease management and management of key populations. These findings suggest the need to strengthen the training in health and social care to better align with the competencies required during standardized residency training.

Objective To design melatonin(Mel)-based nanomedicines(Mel-NMs)and evaluate their therapeutic effects on myocardial ischemia-reperfusion injury in mice.Methods Melatonin self-assembled peptides(Mel-NMs)were synthesized and their structure was characterized by transmission electron microscopy.Mice were divided randomly into five groups:Sham,Model,Mel,NMs,and Mel-NMs,and a myocardial ischemia-reperfusion injury model was established.Mel(5 mg/kg),NMs,or Mel-NMs(containing Mel 5 mg/kg)were administered intraperitoneally 10 minutes prior to reperfusion,and the sham group was treated with an equal volume of solvent.Cardiac function,apoptosis,and oxidative stress markers were assessed 24 hours after reperfusion.Results Transmission electron microscopy revealed that Mel-NMs formed worm-like structures.Treatment with Mel and Mel-NMs significantly improved cardiac function,reduced lactate dehydrogenase and malondialdehyde levels,and enhanced glutathione peroxidase and superoxide dismutase activities(P＜0.05),while also decreasing cardiomyocyte apoptosis(P＜0.05),with greater effects in the Mel-NMs group(P＜0.05).Conclusions Mel-NMs can effectively mitigate myocardial oxidative stress and apoptosis,offering a more potent cardioprotective effect than Mel alone.

OBJECTIVE To investigate the characteristics of multidrug-resistant organisms(MDROs)infections in the patients of intensive care units(ICUs)so as to provide supportive data for precise prevention and control of in-fections.METHODS From Jan.2016 to Dec.2023,the case-time incidence of hospital-associated MDROs infec-tions,constituent ratios,infection sites and characteristics of drug resistance were observed and compared among the patients from 5 different ICUs of the First Affiliated Hospital of Suzhou University by means of real-time sur-veillance system of hospital-associated infection.RESULTS Among the ICU patients,there were 1322 case-times of hospital-associated infections with MDROs,and the case-time incidence rate was 4.67％,which varied in the ICUs.The patients with lower respiratory tract infections accounted for 66.51％,the patients with bloodstream infections 14.53％,the patients with urinary tract infections 10.78％.The distribution of infection sites,distribu-tion of pathogens and etiological spectrum of infection sites varied according to the ICUs.In general,the percenta-ges of carbapenem-resistant Klebsiella pneumoniae(CRKP)and carbapenem-resistant Acinetobacter baumannii(CRAB)infections were highest,which were 35.63％(471/1322)and 38.28％(506/1322),respectively.The drug resistance rates of the CRKP strains to polymyxin B and ceftazidime-avibactam were low,and the drug re-sistance rate to tigecycline was 38.44％.The drug resistance rates of the CRAB strains to polymyxin B and tigecy-cline were 10.00％and 21.64％,respectively.The carbapenem-resistant Pseudomonas aeruginosa(CRPA)strains showed high sensitivity to most of the antibiotics.The drug resistance rates of the methicillin-resistant Staphylococcus aureus(MRSA)strains to tetracycline,levofloxacin,gentamicin,moxifloxacin and ciprofloxacin were high.CONCLUSION It is necessary for the hospital to reasonably use antibiotics based on the result of sur-veillance of MDROs in the ICUs and take targeted prevention measures for the infections.

Objective Focusing on the problems of unbalanced nursing education resources and insufficient training,it discusses the path of nursing echelon training and nursing education resources optimization in secondary hospitals.Methods Based on nursing questionnaire,interview data and platform logs from 4 secondary hospitals in Hainan Province,Latent Dirichlet Allocation topic modeling,sentiment analysis and Social Network Analysis were used.Identify the core problems of educational resources and training system and propose optimization schemes.Results Topic modeling revealed that insufficient educational resources and information silos were major obstacles to shared platform development.Similarity analysis result showed high consistency in feedback regarding disconnected training content and single training models.Sentiment analysis result indicated that 50％of negative feedback focused on inadequate evaluation and incentive mechanisms.Social Network Analysis validated the significant role of multi-node collaboration in optimizing resource flows.Conclusion Building shared platforms,implementing differentiated training systems,and developing localized nursing faculty are critical pathways to achieving homogenized nursing education,providing valuable references for optimizing regional nursing education.

To enhance the emergency response capabilities of medical institutions and community public health,and strengthen the efficiency in handling major sudden infectious disease events.METHODS Relying on community grid management and under the integration of medical treatment and disease prevention,a multi-level medical service system was established,funding guarantees were implemented,and software and hardware supports were strengthened by emphasizing infection control training and introducing modern technological means like artifi-cial intelligence.In addition,stratified screening for infectious diseases among different populations was carried out in an orderly manner.RESULTS The grid management model for infectious diseases based on the integration of medical treatment and disease prevention in Suzhou was preliminarily formed and applied to the screening and treatment of COVID-19 and hepatitis C.The epidemic prevention teams,jointly established by medical institutions and community-based medical and preventive organizations,were critical for emergency response to major sud-den infectious diseases and became a key component of epidemic prevention and control.CONCLUSION The grid management strategy for infectious diseases based on the integration of medical treatment and disease preven-tion in Suzhou demonstrates certain reference value in enhancing emergency response capabilities and efficiency for major sudden infectious diseases,as well as in the field of disease prevention and control.

OBJECTIVE To investigate the current status and risk factors of carbapenem-resistant gram-negative or-ganisms(CRO)infections in neurosurgical ICU patients,and to construct and validate their prediction models.METHODS Clinical data and active screening microbiological results of 113 patients admitted to the Neurosurgical Intensive Care Unit(ICU)of The First Affiliated Hospital of Soochow University between Jul.2023 and Jan.2024 were retrospectively collected,and the patients were divided into a CRO-infected group(n=28)and a non-CRO-infected group(n=85).Predictive variables were screened using LASSO regression and logistic regression.Risk prediction models were constructed using random forest(RF)and logistic regression,the performance of the mod-el was evaluated by analyzing the area under the receiver operating characteristic(ROC)curve(AUC),calibration curves,and decision curves,and internal validation was performed using the bootstrap resampling method.RESULTS Among 113 neurosurgical ICU patients,28 cases developed CRO infections,with an infection rate of 24.78％.The highest infection rate was observed in lower respiratory tract infection,with 17 cases(15.04％).The predominant CRO pathogens were carbapenem-resistant Klebsiella pneumoniae(CRKP)and carbapenem-re-sistant Acinetobacter baumannii(CRAB),accounting for 50.00％and 42.86％of cases respectively.The AUC values for the RF prediction model and nomogram prediction modeling groups were 0.881 and 0.787 respectively,with Brier scores of 0.114 and 0.146,and threshold probabilities of net benefit ranging from 10％to 97％and 12％to 62％respectively.The RF prediction model exhibited superior discrimination,calibration,and clinical u-tility.The RF prediction model demonstrated that days of combined use of meropenem and vancomycin,GCS score,intestinal colonization,and hospitalization history were important predictors for CRO infections.CONCLUSION The prediction model for CRO infections in neurosurgical ICU patients established based on random forest algorithm has good predictive performance,and can be intervened with preventive and control measures for important predictive factors.