BackgroundPatients with depressive episode and schizophrenia have a high risk of suicide. The sleep electroencephalogram power spectral density characteristics of patients with depressive episode accompanied by suicidal behavior and those with schizophrenia may be different， but there is currently a lack of direct comparative studies on these two groups of patients. ObjectiveTo compare the sleep electroencephalogram power spectral density between depressive episode and schizophrenic patients with suicidal behavior， in order to provide references for exploring predictive indicators of suicidal behavior. MethodsFrom June 2018 to December 2020， 20 patients with depressive episode and 20 patients with schizophrenia who had committed suicide within the past month and were treated at the outpatient department of Shenzhen Kangning Hospital were selected. All of them met the diagnostic criteria for depressive episode or schizophrenia as defined in the International Classification of Diseases， tenth edition （ICD-10）. Using a random sampling method， 20 volunteers with matching gender and age to the patient groups were selected from the Cuiping community in Shenzhen as the control group. The subjective sleep of the patients was evaluated using the Insomnia Severity Index （ISI）， the Dysfunctional Belief and Attitude about Sleep （DBAS）， the Disturbing Dreams and Nightmare Severity Index （DDNSI）， and the Epworth Somnolence Scale （ESS）. The objective sleep of the patients was assessed using polysomnography. The sleep electroencephalogram was filtered and the power spectral density of the brain wave was analyzed and processed for all the subjects. The subjective and objective sleep conditions of the two patient groups were compared， and the sleep electroencephalogram power spectral density of the patient groups and the control group were also compared. ResultsA comparison of subjective and objective sleep conditions between patients with depressive episode accompanied by suicidal behavior and patients with schizophrenia accompanied by suicidal behavior showed no statistically significant differences （P>0.05）. Comparisons of sleep electroencephalogram power spectral density in the W stage （average power of α wave， total power of δ wave， average power of δ wave， average power of θ wave）， N1 stage （average power of β wave， total power of α wave， total power of δ wave）， N2 stage （total power of α wave， average power of α wave， total power of δ wave， average power of δ wave）， N3 stage （average power of α wave， average power of δ wave）， and R stage （total power of α wave， average power of α wave， total power of δ wave， average power of δ wave） between patients with depressive episode accompanied by suicidal behavior， patients with schizophrenia accompanied by suicidal behavior， and the control group showed statistically significant differences （P<0.05 or 0.01）. The total power of δ wave in the W stage and the average power of β wave and δ wave in the N1 stage were higher in two patient groups were higher than those of the control group. The total power of α wave and the average power of α wave in the N2 stage were lower than those of the control group， while the average power of δ wave was higher than that of the control group. The average power of α wave in the N3 stage of both patient groups were lower than that of the control group， while the average power of δ wave was higher than that of the control group. The total power and average power of α wave in the R stage were lower than those of the control group， while the total power and average power of δ wave were higher than those of the control group. All the differences were statistically significant. Patients with depressive episode accompanied by suicidal behavior had higher average powers of α wave， δ wave， and θ wave in the W stage compared with the control group， while the total power of α wave in the N1 stage was lower in the former group. All these differences were statistically significant （P<0.05）. ConclusionThe depressive episode patients accompanied by suicidal behavior have highly overlapping sleep electroencephalogram abnormal patterns with those of schizophrenia patients， mainly manifested as a general decrease in α wave power （N2， N3， R stage） and a general increase in δ wave power （W， N1， N2， N3， R stage） as well as β wave power in N1 stage. At the same time， patients with depressive episode accompanied by suicidal behavior also show specific changes， including an increase in the average power of α and θ waves during the wakefulness period （W stage）， and a decrease in the total power of α wave in N1 stage. ［Funded by Guangdong Province High-level Clinical Key Specialty （with supporting funds from Shenzhen City） （number， SZGSP013）； Shenzhen Key Medical Discipline （number， SZXK041）； Shenzhen Clinical Medicine Research Center Project （number， 20210617155253001）］

Objective: To explore the influencing factors of anxiety symptoms and to construct a predictive model based on machine learning algorithms, so as to provide support for the prevention and management of anxiety symptoms among junior high school students. Methods: From April to May 2023, a stratified random cluster sampling method was adopted to select 8 176 junior high school students from Zhengzhou and Shangqiu citys. All participants completed the Adolescent Self rating Life Events Checklist, the 10item Connor-Davidson Resilience Scale, the School Connectedness Scale, the Parent-Child Cohesion Questionnaire, and the 7 item Generalized Anxiety Disorder Scale. Logistic regression analysis identified the associated factors of anxiety symptoms among junior high school students. Predictive models were constructed using Logistic regression, Random Forest, and eXtreme Gradient Boosting (XGBoost) algorithms, with SHapley Additive exPlanations analysis explaining the optimal model. Results: The detection rate of anxiety symptoms among junior high school students was 16.3%. Logistic regression analysis showed that junior high school students who were female ( OR =1.22), in the ninth grade ( OR =1.27), living in urban areas ( OR =1.37), having a father with a college education or above ( OR =1.26), having a mother with a senior high school education ( OR =1.26), and experiencing higher levels of negative life events ( OR =1.05) reported a higher risk of anxiety symptoms(all P <0.05). In contrast, those with moderate family economic status ( OR =0.71), moderate academic burden ( OR =0.59), low academic burden ( OR =0.54), moderate sleep quality ( OR =0.46), good sleep quality ( OR =0.26), excellent sleep quality ( OR =0.15), higher levels of psychological resilience ( OR =0.96), higher levels of school connectedness ( OR =0.96), and higher levels of parent-child cohesion ( OR =0.98) reported a lower risk of anxiety symptoms (all P <0.05). Three machine learning models demonstrated good predictive performance for anxiety symptoms among junior high school students (all AUC>0.8), with the XGBoost model achieving the best predictive performance. SHAP analysis revealed that negative life events, sleep quality, school connectedness, psychological resilience and parent-child cohesion were the top five relevant factors for predicting anxiety symptoms. Conclusions The detection rate of anxiety symptoms among junior high school students is relatively high. The XGBoost model is the optimal predictive model for anxiety symptoms in the population. Negative life events, sleep quality, school connectedness, psychological resilience, and parent-child cohesion are significant correlates of anxiety symptoms among junior high school students.

ObjectiveTo investigate the inhibitory effect of gingerol， an active component of ginger， on Staphylococcus aureus （S. aureus） infection， and to preliminarily explore its mechanism related to extracellular vesicles （EVs）. MethodsS.aureus infection models were established in human umbilical vein endothelial cell （HUVECs）， Vero E6 cells， and C57BL/6 mice. Experimental groups included control， infection， and gingerol-treated groups. Bacterial load and VE-cadherin protein expression were detected using immunofluorescence and Western blot. EVs were isolated by size exclusion chromatography and characterized by transmission electron microscopy and nanoparticle tracking analysis. miRNA sequencing was performed on EVs. ResultsGingerol treatment significantly reduced the bacterial load in both in vitro and in vivo infection models and upregulated VE-cadherin expression. miRNA sequencing of EVs revealed that S. aureus infection upregulated the expression of hsa-miR-320c， while gingerol treatment reversed this abnormal expression. Bioinformatic analysis further predicted that the target genes of hsa-miR-320c were significantly enriched in cell junction-related pathways. ConclusionGingerol exhibits clear antibacterial and host-protective effects， by regulating hsa-miR-320c in EVs to maintain endothelial barrier integrity.

ObjectiveThe controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers. MethodsFifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerström Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers. ResultsThe average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus, supplementary motor area, gyrus rectus, and posterior cingulate gyrus in the young smokers’ group, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2). ConclusionThe controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.

The blood products industry,both domestically and internationally,exhibits distinct features in product research,development,and technological innovation.International companies possess extensive expertise in developing immunoglobulins,coagulation factors,and recombinant plasma protein products,demonstrating continuous advancements-particularly in specific immunoglobulin development,long-acting formulation optimization,and manufacturing process improvements.In recent years,Chinese enterprises have also achieved notable progress in related fields,especially in immunoglobulin process refinement and the development of novel recombinant coagulation factor products.However,there remains significant scope for improvement in areas such as the application of recombinant protein technologies,efficient utilization of plasma resources,and the adoption of advanced manufacturing techniques.Additional challenges include the accumulation of patented technologies,the supply of critical raw materials,and access to comprehensive epidemiological data.Driven by ongoing advances in gene recombination technologies,innovations in drug delivery systems,digital transformation,and the rise of personalized medicine,the blood products industry is poised for broader development prospects.To foster sustained and stable domestic industry growth and enhance global competitiveness,Chinese blood product enterprises should intensify their technological accumulation,upgrade manufacturing processes,and optimize plasma resource utilization.

Aim To investigate the mechanism of 8-hydroxygenistein(8-OHG)in mitigating high-altitude induced heart injury(HAHI)via network pharmacolo-gy,molecular docking and animal experiment.Meth-ods 8-OHG-related targets were obtained from Swis-sTargetPrediction,Similarity ensemble approach,Su-perPred and PharmMapper databases.Genecards and OMIM databases were utilized for retrieving HAHI-re-lated targets.Venn diagram was drawn using R pack-age.STRING 11.5 and Cytoscape 3.9.1 were used to construct the protein-protein interaction network and screen core targets.GO and KEGG enrichment analysis were carried out using DAVID database.AutoDock Vi-na software was used for molecular docking.Visualiza-tion was performed using PyMOL 3.0.0 software.The HAHI model was established,and the the mice were randomly divided into the control group,model group and 8-OHG group.Hematoxylin-eosin(HE)staining was used to observe the pathological changes of myo-cardial tissue.Western blot was applied for detecting the expression levels of related proteins in myocardial tissue.Results A total of 73 overlapping targets be-tween 8-OHG and HAHI were screened,with ALB,AKT1,ESR1,HSP90AA1,NFKB1 and MMP9 were regarded as core targets.Molecular docking results in-dicated that 8-OHG had strong binding ability with these core targets.GO functional enrichment analysis obtained 185 biological processes,including negative regulation of apoptosis,response to hypoxia and in-flammatory response,38 cell compositions,including cytosol,cytoplasm,plasma membrane,as well as 71 molecular functions,including protein binding,metal ion binding,enzyme binding and so on.Altogether 55 signaling pathways were identified via KEGG enrich-ment analysis,including PI3 K/Akt signaling pathway,HIF-1 signaling pathway and MAPK signaling pathway.The results of animal experiments showed that 8-OHG could significantly improve the myocardial histopatho-logical change induced by high-altitude hypoxia expo-sure.Western blot results showed that compared with the normal group,the ratio of p-PI3K/PI3K and p-Akt/Akt in the myocardial tissue of mice in the model group significantly decreased,while the protein expres-sion of Beclin-1 and the ratio of LC3B-Ⅱ/LC3B-Ⅰsignificantly increased,while 8-OHG could reverse these changes.Conclusion The mechanism of 8-OHG in alleviating HAHI is related to its activation of PI3K/Akt signaling pathway,thereby inhibiting auto-phagy induced by high-altitude hypoxia exposure.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective:To systematically search, evaluate, and summarize evidence-based findings related to postoperative oral health management for orthognathic surgery patients, with the goal of providing clinical care professionals with evidence-based guidance for postoperative care, infection prevention, and functional recovery.Methods:Using the "6S" evidence hierarchy model, a systematic search was conducted in databases such as UpToDate, BMJ Best Practice, DynaMed, The Cochrane Library, World Health Organization (WHO), National Institute for Health and Care Excellence (NICE), Guidelines International Network (GIN), Registered Nurses′Association of Ontario (RNAO), Chinese Stomatological Association (CSA), American Association of Oral and Maxillofacial Surgeons (AAOMS), PubMed, and Scopus. The search included literature on postoperative oral health management for orthognathic surgery patients, such as guidelines, clinical decision-making tools, expert consensus, evidence summaries, and systematic reviews, covering publications from database inception to November 12, 2024. Two researchers independently assessed the quality of the included literature and extracted, summarized, and synthesized the evidence.Results:A total of 18 studies were included, consisting of 7 guidelines, 7 systematic reviews, 2 expert consensus documents and 2 randomized controued trials. Twenty-two best evidence statements were summarized, addressing six key areas: oral hygiene and infection prevention, wound care, oral functional recovery, dietary and nutritional support, oral comfort management, and long-term oral health maintenance.Conclusions:This study provides a comprehensive summary of the best available evidence for postoperative oral health management in orthognathic surgery patients. It offers theoretical support for clinical nursing practices and evidence-based recommendations for postoperative care specific to this patient population.

Objective To develop a knowledge-attitude-practice assessment scale for home prevention and man-agement of parastostomy hernia in ostomy patients,and to test its reliability and validity,to provide a reliable tool for evaluating the knowledge and practice level of home prevention and management of parastostomy hernia in pa-tients with ostomy.Methods Based on the theory of knowledge,attitude and practice,the initial scale was generat-ed through literature review,semi-structured interviews,expert correspondence,research group discussion and pre-sur-vey.From May to December 2023,685 patients with ostomy from the ostomy clinic of a tertiary hospital in Tianjin were investigated by purpose sampling method,and the reliability and validity were tested.Results A total of 673 valid questionnaires were collected,the results showed that the knowledge-attitude-practice assessment scale for pre-venting and managing parastomal hernia of ostomy patients at home included 3 dimensions of knowledge,attitude and practice,with a total of 27 items.The response rates of 2 rounds of the questionnaire were both 100％;the au-thority coefficients were all 0.915;the Kendall's coefficients of concordance were 0.279 and 0.301,respectively.The content validity index of each item was 0.875～1.000;the content validity index of the average scale level was 0.988;after 2 exploratory factor analysis,the cumulative variance contribution rate was 65.920％.The results of con-firmatory factor analysis showed that the model had a good fit,with a chi-square degree of freedom ratio(/df)of 1.945,the fitting goodness index(GFI)of 0.851,the comparative goodness of fit index(CFI)of 0.919,the root means square error of approximation(RMSEA)of 0.060.The Cronbach's alpha coefficient result of the scale is 0.957,with a test-retest reliability of 0.826 and a half reliability of 0.934.Conclusion The knowledge-attitude-practice assessment scale has good reliability and validity,and can be used as an assessment tool for home prevention and management of parastostomy hernia in ostomy patients.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.