OBJECTIVE To investigate the prevalence and influencing factors of potentially inappropriate medication （PIM） among the elderly in nursing homes in Urumqi based on three PIM screening tools， and to compare the applicability of different tools. METHODS A cross-sectional study design was adopted. Elderly individuals from six nursing homes in Urumqi were selected as the research subjects from May 2021 to September 2023. Demographic characteristics， disease burden and medication records of the elderly were collected. PIM screening was performed using the Chinese PIM criteria （2024 edition）， the American Geriatrics Society （AGS） Beers criteria （2023 edition）， and the Screening Tool of Older Person’S Prescriptions（STOPP）/Screening Tool to Alert to Right Treatment（START） （2023 edition）. Fleiss’s Kappa test was used to assess the consistency among the three screening tools， and multivariate Logistic regression was used to analyze the influencing factors of PIM. RESULTS The prevalence of PIM screened by the Chinese PIM criteria was 47.4% （323/682）， by the AGS Beers criteria was 43.4% （296/682）， and by the STOPP criteria was 50.9% （347/682）. The consistency among the three screening tools was low （Fleiss’s Kappa＝0.12， P ＜0.001）. Multivariate Logistic regression analysis showed that all three screening tools indicated that polypharmacy， aspirin use and psychotropic drug use were independent risk factors for PIM among elderly in nursing houses （all OR＞1， P ＜0.05）. CONCLUSIONS The prevalence of PIM among the elderly in nursing homes in Urumqi is relatively high. Polypharmacy， aspirin use and psychotropic drug use are common independent risk factors for PIM. There are differences in screening results among the three tools with low consistency. The Chinese PIM criteria can serve as a first-line tool for PIM screening in nursing homes.

Objective:To test the validity and reliability of the Chinese version of the Peer Mental Health Stig-matization Scale-Revised(PMHSS-R)in middle school students.Methods:A total of 1 099 middle school students were selected and randomly divided into Sample 1(n=549)and Sample 2(n=550)for exploratory factor analysis and confirmatory factor analysis,respectively.The total sample(n=1 099)was used to measure internal consisten-cy,and 87 of them were retested two weeks later.A total of 259 middle school students(Sample 3)was selected for the criterion validity test with the Depression Stigma Scale(DSS)and the Attitudes toward Seeking Professional Psychological Help Scale-Short Form(ATSPPH-SF).Results:Exploratory factor analysis identified 2 common fac-tors,namely stigma awareness and stigma agreement,with a cumulative variance contribution rate of 66.86％.The confirmatory factor analysis showed that the two-factor structure model fit was adequate(x2/df=3.70,CFI=0.97,TLI=0.96,SRMR=0.03,RMSEA=0.07).The PMHSS-R Chinese version scores were positively correlated with the DDS scores(ICC=0.58,P＜0.01)and negatively correlated with the ATSPPH-SF scores(ICC=-0.40,P＜0.01).The Cronbach α coefficients of the total scores and the two-factor scores were 0.90,0.92,0.85,respective-ly.The test-retest reliability coefficients(ICC)were 0.84,0.76,0.78,respectively.Conclusion:The Chinese ver-sion of the Peer Mental Health Stigmatization Scale-Revised(PMHSS-R)demonstrates good validity and reliability in assessing mental health stigma among middle school students.

Objective:To understand the awareness of influenza and influenza vaccine, influenza incidence, influenza vaccination status and intention and related factors in primary and secondary school teachers.Methods:Cross-sectional study design and stratified random sampling method were used to select 5 teachers from each of 51 primary schools and 40 middle schools in a district of Beijing from April 17 to 21, 2024. A questionnaire survey was conducted in the selected teachers with an estimated sample size of 1 040. The survey collected the information about their demographic characteristics, awareness of influenza and influenza vaccine, influenza incidence, influenza vaccination status and intention. Multivariate logistic regression model was used to analyze the factors related to influenza vaccination status and intention.Results:In the 975 primary and secondary school teachers, the awareness of susceptibility and severity of influenza and the benefits of influenza vaccination were high. In terms of safety of influenza vaccine, 48.00% (468/975) of the teachers believed that adverse reaction would occur after the vaccination. Influenza like illness occurred in 41.13% (401/975) of the teachers during 2023-2024, and in these teachers, 40.15% (161/401) asked for leave from work due to illness, 40.90% (164/401) sought medical care and 32.93% (54/164) were influenza virus positive. In the 975 teachers, 13.95% (136/975) were vaccinated against influenza during 2023-2024 and 34.46% (336/975) were willing to be vaccinated against influenza during 2024-2025. Multivariate logistic regression analysis showed that being teacher in charge of a class (a OR=1.58, 95% CI: 1.06-2.35), believing that influenza vaccination could effectively prevent influenza (a OR=1.99, 95% CI: 1.05-3.80), believing that teachers' vaccination could improve students' willingness to be vaccinated (a OR=1.98, 95% CI: 1.12-3.50) were the positive factors for teachers' vaccination, and worrying about adverse reactions after the vaccination (a OR=0.52, 95% CI: 0.34-0.80) was the negative factor. Doctors' recommendation (a OR=2.62, 95% CI: 1.41-4.86) and free influenza vaccination (a OR=10.26, 95% CI: 5.17-20.39) were positively correlated with teachers' intention to influenza vaccination. Conclusions:Primary and secondary school teachers in a district of Beijing had high awareness of influenza and influenza vaccine, but their awareness of influenza vaccine safety should be improved. The incidence of influenza-related infection was high in the primary and secondary school teachers. The influenza vaccination rate was low and the willingness to receive influenza vaccination in following year was not strong. For the better prevention and control of influenza in schools, it is necessary to strengthen the health education in primary and secondary school teachers to improve their awareness of influenza vaccine safety and vaccination rate.

Objective:To explore the trend of influenza positive rate in Beijing by using classic autoregressive integrated moving average (ARIMA) model, autoregressive integrated moving average model with exogenous variables (ARIMAX) and vector autoregression model (VAR) to compare the performance of three models in influenza prediction and select the most suitable one for Beijing.Methods:The weekly positive rate of influenza virus nucleic acid test and meteorological data in Beijing from week 1 of 2013 to week 40 of 2024 were collected. The data were divided into four groups with expanding training sets and corresponding testing sets. The training set of the first group was from week 1 of 2013 to week 40 of 2016, and the testing set was from week 41 of 2016 to week 40 of 2017. Subsequent groups extended the training set by one year each time. Data from 2020 to 2023 were excluded due to COVID-19 pandemic. The fourth group used data from the week 1 of 2013 to week 40 of 2023 for training and from the week 41 of 2023 to week 40 of 2024 for testing.Results:The incidence of influenza had seasonality in Beijing with higher incidence in winter and spring. The positive rate of influenza virus was positively correlated with the weekly average atmospheric pressure ( r=0.482, P<0.001) and weekly average wind speed ( r=0.003, P=0.034), and negatively correlated with the weekly average temperature ( r=-0.541, P<0.001). The ARIMAX model incorporating meteorological factors had the best prediction performance, with test set's root mean square error ( RMSE) of 0.115 3 and mean absolute error ( MAE) of 0.076 7 (the RMSE and MAE values for ARIMA and VAR models were 0.117 1 and 0.163 8, and 0.078 6 and 0.122 3, respectively). The prediction results of the optimal model showed that the positive rate of influenza virus would continue to rise in Beijing after October 2024 and reach peak in the second week of 2025, but the peak positive rate would be lower than that of previous influenza season. Conclusions:Compared with the ARIMA model and the VAR model,the ARIMAX model which used meteorological parameters is more suitable for prediction of long-term influenza trend in Beijing. The influenza trend peak was predicted to occur in the second week of 2025, but lower than that in previous influenza season.

Objective To establish and validate a machine learning model integrating abdominal contrast-enhanced CT radiomics features and clinical characteristics,and to construct a predictive model for the efficacy of anticoagulant treatment in portal vein thrombosis(PVT).Methods A retrospective selection was conducted on 94 PVT patients who received anticoagulant treatment.Patients were divided into effective and ineffective treatment groups based on the follow-up results.Clinical information was collected,and imaging features were evaluated.Univariate and multivariate logistic regression were performed to select clinical information and imaging fea-tures for constructing a clinical-imaging model.On CT venous phase images,the PVT mask was delineated and radiomics features were extracted,and the radiomics model was screened and established.A combined model was further developed using features from both the clinical-imaging and radiomics models.Receiver operating characteristic(ROC)curves were used to evaluate the predictive efficacy of different models.Results The area under the curve(AUC)for the clinical-imaging model,radiomics model,and com-bined model were 0.594,0.794,and 0.776,respectively.The radiomics and combined models demonstrated superior predictive efficacy for anticoagulant treatment in PVT compared to the clinical-imaging model.No significant difference in performance was observed between radiomics and combined models.Conclusion The radiomics model and combined model based on abdominal contrast-enhanced CT can effectively predict the efficacy of anticoagulant treatment for PVT.

Objective To study the damage effect of high-voltage electric shock on skin based on metabolomics,analyze its metabolic differences,and explore its injury mechanism.Methods A total of 16 SPF C57BL/6J male mice were divided into the electric shock group(head skin received electric shock treatment)and control group(head skin received electric shock acoustic-optical stimulation),and the skin appearance after treatment of mice in the two groups was observed.The histopathological changes caused by electric shock were analyzed by HE staining,EVG staining and Masson staining.GC-MS and LC-MS metabonomics were used to analyze the changes of skin metabolism spectrum and tissue metabolites after electric shock exposure,and the differential metabolites were analyzed.The obtained differential metabolites were combined and KEGG enrichment analysis was conducted.Results After high-voltage electric shock,the skin of mice could be damaged to the dermis,and the epidermis was partially thickened,lifted and separated.The structure of skin appendages in the dermis was destroyed,with a large number of inflammatory cells infiltrating and obvious swelling,accompanied by congestion,which led to severe skin inflammatory reaction and impaired skin barrier function.Metabonomics analysis suggested that the metabolites changed after electric shock exposure.KEGG enrichment analysis showed that electric shock significantly affected the central carbon metabolism pathway of cancer,pentose phosphate pathway,purine metabolism,glycine,serine and threonine metabolism processes,amino acid tRNA biosynthesis mechanism,glycerophospholipid metabolism pathway,pyrimidine metabolism pattern,glycolysis/gluconeogenesis,alanine metabolism process,glucagon signal pathway and so on.Conclusion High voltage electric shock can cause deep skin damage,disturb its energy metabolism and amino acid metabolism,and seriously interfere with its antioxidant and DNA repair system functions.

Soy is a vital source of plant carbohydrates.However,it poses significant allergenic risks,particularly to young children and animals.Among the various proteins in soy,β-conglycinin,which con-stitutes approximately 30％of total soy carbohydrates,is a primary allergen.Undigested β-conglycinin can lead to intestinal damage by inhibiting cell growth,disrupting the cytoskeleton,and inducing apopto-sis.It can also enter the lymphatic and circulatory systems,triggering allergic reactions.Conventional ELISA methods for detecting β-conglycinin rely on polyclonal or monoclonal antibodies,which are limited by their large molecular weight,difficulty in accessing the protein core,and sensitivity to acidic and bas-ic conditions.To address these limitations,this study aimed to develop nanobodies(Nbs)against β-con-glycinin.Nbs,derived from the variable regions of heavy-chain antibodies found in camelids,have a mo-lecular weight approximately one-tenth that of conventional antibodies.They offer advantages such as small size,stable structure,high specificity,and strong affinity.A female alpacas was immunized five times using β-conglycinin,which showed a heavy chain antibody potency of 1∶16 000 by ELISA.Pe-ripheral blood lymphocytes were subsequently isolated and total RNA was extracted.The variable region of the heavy-chain antibody was amplified via PCR,and recombinant plasmids were constructed and transformed into the E.coli competency strain ER2738.The resulting library contained about 3.5×108 CFU/mL,which increased to 1.15×1012 PFU/mL after phage rescue,with a 100％Nbs gene insertion rate,indicating high diversity.Its Nbs phage output was significantly enriched by four rounds of solid-phase elution with an enrichment rate of 155.9.Four rounds of solid-phase panning yielded 35 positive clones,all of which shared the same amino acid sequence upon sequencing.The selected Nb was ex-pressed in a prokaryotic system,and its binding ability to β-conglycinin was confirmed using Western blotting and ELISA.The results demonstrated excellent specificity and affinity.This research lays the groundwork for developing a rapid and efficient detection method for β-conglycinin using Nbs,potentially enhancing food safety and allergen management.

Objective:To explore the effect and safety profile of psycho-cardiology model combined with phased re-habilitation exercise on psychological state,cardiac function,sleep quality,cognitive function and quality of life of patients with coronary heart disease(CHD)after percutaneous coronary intervention(PCI).Methods:This ran-domized controlled study enrolled 150 CHD patients with anxiety and sleep disorder who underwent PCI in the Psy-cho-cardiology Medical Center of Beijing Anzhen Hospital,Capital Medical University between January 2023 and April 2023.Patients were randomly divided into control group(n=75)and intervention group(n=75).Patients in the control group received routine management mode intervention after PCI,comparing to those in the intervention group receiving psycho-cardiology model combined with phased rehabilitation exercise intervention after PCI.Both groups were intervened for 2 months and followed up for 6 months.Mental state,heart function,sleep quality,cog-nitive function,quality of life and incidence of adverse events were compared between two groups.Results:Com-pared to those in control group,patients in intervention group had significant lower scores of generalized anxiety dis-order-7(GAD-7)[(5.16±1.19)points vs.(7.53±1.68)points],patient health questionaire-9(PHQ-9)[(7.63±1.03)points vs.(10.41±1.54)points],Athens insomnia scale(AIS)[(3.69±1.35)points vs.(6.43±2.11)points]and left ventricular end diastolic diameter(LVEDd)[(44.50±2.86)mm vs.(54.11±3.46)mm](P＜0.001 all),and significant higher left ventricular ejection fraction(LVEF)[(60.06±3.05)％vs.(53.90±3.05)％],scores of Seattle angina questionnaire(SAQ)[(83.31±6.59)points vs.(52.75±5.66)points]and mini-mental state examination(MMSE)[(26.44±4.68)points vs.(23.23±4.01)points](P＜0.001 all).We detec-ted significant lower incidence of adverse events in intervention group compared to control group(4.29％vs.16.44％,P=0.018).Conclusion:Psycho-cardiology model combined with phased rehabilitation exercise may im-prove psychological state,heart function,sleep quality,cognitive function and quality of life in CHD patients with anxiety and sleep disorder after PCI with considerable safety.

Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute（CLSI）. Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus（ n=1 544，35.2%），coagulase-negative Staphylococci（ n=1 441，32.9%）， Enterococcus faecium（ n=574，13.1%）， Enterococcus faecalis（ n=385，8.8%），and α-hemolytic Streptococci（ n=187，4.3%）. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）was 26.2%（405/1 544）and 69.8%（1 006/1 441），respectively. Notably，all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility（>97.0%）to cephalobiol，rifampicin，trimethoprim-sulfamethoxazole，linezolid，minocycline，tigecycline，and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium（resistance to vancomycin and teicoplanin：both 1.7%）compared to Enterococcus faecalis（both 0.3%）. The detection rates of MRSA and MRCNS exhibited significant regional variations across the country（ χ2=17.674 and 148.650，respectively，both P<0.001）. No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA（ χ2=14.111， P<0.001）and MRCNS（ χ2=4.828， P=0.028）in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA（ χ2=18.986， P<0.001）and MRCNS（ χ2=4.477， P=0.034）in less developed regions（per capita GDP

Objective:To report the results of bacterial resistant investigation collaborative system（BRICS）on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023，and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period，11 492 strains of Gram-negative bacteria were collected from 60 hospitals，of which 10 098（87.9%）were Enterobacterales and 1 394（12.1%）were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli（50.0%）， Klebsiella pneumoniae（26.1%）， Pseudomonas aeruginosa（5.1%）， Acinetobacter baumannii complex（5.0%）and Enterobacter cloacae complex（4.1%）. The ESBL-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus mirablilis were 46.8%（2 685/5 741），18.3%（549/2 999）and 44.0%（77/175），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（76/5 741）and 15.0%（450/2 999）；32.9%（25/76）and 78.0%（351/450）of CREC and CRKP were sensitive to ceftazidime/avibactam combination，respectively. 94.7%（72/76）and 90.2%（406/450）of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore，57.9%（44/76）and 79.1%（356/450）were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 64.6%（370/573），while more than 80.0% of CRAB complex was sensitive to tigecycline，eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 17.0%（99/581）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China，with statistically significant differences in the prevalence of CREC，CRKP，CRPA and CRAB complex（ χ2=10.6，28.6，10.8 and 19.3， P<0.05）. The prevalence of ESBL-producing Escherichia coli， CREC，CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals（ χ2=12.5，9.8，12.7 and 57.8，all P<0.01）. Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China，and Escherichia coli is ranked in the top，while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend，CREC infecton maintains a low prevalence level，and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.