Objective: To analyze the association between drinking behaviors and anxiety symptoms, with the mediating role of insomnia symptoms among college freshmen, so as to provide a reference basis for reducing the occurrence of anxiety symptoms in college freshmen. Methods: From October to December 2021, 31 856 freshmen were selected by the purposive sampling method in 22 colleges across 11 provinces (Fujian, Jiangsu, Guangdong, Henan, Anhui, Hubei, Shanxi, Jiangxi, Shaanxi, Yunnan, Chongqing) in China. The Semi quantitative Food Frequency Questionnaire was used to investigate college freshmen drinking behaviors. The Depression Anxiety Stress Scale 21 and the Insomnia Severity Index were used to assess anxiety symptoms and insomnia symptoms in college freshmen. The generalized linear model was employed to analyze the association between drinking behaviors and anxiety symptoms in college freshmen, and the structural equation modeling was used to assess the mediating effect of insomnia symptoms on the association. Results: The detection rate of anxiety symptoms among college freshmen was 28.2%, the detection rates of the mild, moderate, severe and extremely severe were 6.6%, 15.9%, 3.2% and 2.6%, respectively. While 23.6% of college freshmen reported drinking in the past month, the rates were 39.8% among boys and 15.9% among girls. After adjusting for demographic variables (ethnicity, education, major, etc.) and confounding variables (self evaluation of learning burden, number of close friends, screen time, etc.), the results of generalized linear model analysis showed that beer consumption was associated with anxiety symptoms in college freshmen( β =0.09, 95% CI =0.04-0.14), girls( β =0.14, 95% CI =0.07-0.21) and those aged 19-20 years ( β =0.12, 95% CI =0.05-0.19)(all P <0.05). Red wine consumption was associated with anxiety symptoms in male students ( β =0.13, 95% CI =0.02-0.24, P <0.05). Alcohol and beer consumption were associated with insomnia in college freshmen[ β (95% CI ) =0.22(0.08-0.36),0.31(0.23-0.39),both P <0.01]. Insomnia symptoms partially mediated the association between drinking behaviors and anxiety symptoms among college freshmen with a mediating effect value of 0.05, accounting for 50.49% of the total effect. Conclusions Insomnia symptoms partially mediates the association between drinking behaviors and anxiety symptoms in college freshmen. Measures should be taken to simultaneously intervene in the drinking behaviors and insomnia symptoms of college freshmen to prevent the occurrence of their anxiety symptoms.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

With the rapid development of artificial intelligence(AI),how to digitize the teaching of Medical Immunology is a new challenge posed by the times and education.This study is based on the advanced teaching model of Medical Immunology,which includes lectures-PAD class-flipped classrooms-expert lecture.By introducing knowledge mapping and AI teaching assistant into the entire learning process,the students not only deepen their understanding of the knowledge system of Medical Immunology,but also ex-ercise their ability to apply immunological knowledge to solve practical clinical problems,enhance their self-learning ability,expres-sion ability,communication ability,on-site performance ability,and cultivate a spirit of unity,cooperation,and exploration.The practice of empowering Medical Immunology teaching with digital intelligence achieves the integration of theory and application,the linkage between in class and out of class teaching,the connection between commonalities and individualities,and the union of abili-ties and qualities in Medical Immunology teaching.It also provides practical basis for exploring the implementation path of digital intel-ligence empowerment in Medical Immunology teaching.

Objective:To explore the expression of CD14 in peripheral blood monocytes to predict the prognosis of patients with severe COPD complicated with pulmonary infection.Methods:A total of 122 patients with severe COPD and pulmonary infection diagnosed and treated in East Lianyungang Hospital from January 2019 to February 2022 were selected as co-infection group,127 pa-tients with severe COPD were selected as COPD group,and 62 healthy subjects in physical examination during the same period were selected as control group.After 30 days of follow-up,patients in co-infected group were divided into death group(n=16)and survival group(n=106)according to prognosis during hospitalization.Membrane CD14(mCD14)related parameters of control group,COPD group and co-infected group were compared.Dynamic changes of mCD14 related parameters were compared between death group and survival group at day 1,3,5,7 and 14 after diagnosis.Cox proportional hazard regression was used to analyze the independent risk factors of death in patients with severe COPD complicated with pulmonary infection after 30 days.Predictive values of CD14%,CD14MFI and CD14IND on prognostic death were analyzed by ROC curve,and the area under the curve(AUC)was compared.Ka-plan-Meier method was used to draw survival curve to compare the survival of patients with different CD14IND levels.Results:Com-pared with control group,CD14%,CD14MFI and CD14IND in COPD group and co-infection group were significantly decreased;com-pared with COPD group,CD14%,CD14MFI and CD14IND in co-infection group were significantly decreased,the differences were statistically significant(P<0.05).Expression of mCD14 in survival group increased steadily during the whole monitoring process,while expression in death group fluctuated at a low level.COPD grade,forced expiratory volume in 1 second/forced vital capacity(FEV1/FVC),forced expiratory volume in 1 second as a percentage of predicted value(FEV1%pred),CD14%,CD14MFI,CD14IND were all risk factors for death in patients with severe COPD complicated with pulmonary infection(P<0.05).CD14%,CD14MFI and CD14IND were negatively correlated with mortality and COPD grade in patients with severe COPD complicated with pulmonary infec-tion,while were positively correlated with FEV1%pred and FEV1/FVC(P<0.001).With CD14IND≤74.36 as cut-off value,the sensi-tivity and specificity of predicting death reached 91.22%and 95.51%respectively.The 30-day survival rate of high-risk group was 68.42%(26/38),which was significantly lower than 95.24%(80/84)of low-risk group(log-rank χ2=10.067,P=0.002).Conclusion:mCD14-related parameters are expected to be the prognostic markers of death in patients with severe COPD complicated with pulmo-nary infection,and the sensitivity and specificity of CD14IND are better than those of CD14%and CD14MFI.

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.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective To investigate the changes in the levels of D-dimer(D-D),fibrin degradation product(FDP),thrombomodulin(TM),thrombin-antithrombin complex(TAT),tissue plasminogen activator-plasminogen activator inhibitor-1 complex(t-PAIC),and plasmin-alpha 2 plasmin inhibitor complex(PIC)during the treatment of patients with acute myeloid leukemia(AML)and their predictive value for efficacy and prognosis.Methods Thirty-one AML patients initially diagnosed at Guidong People's Hospital of Guangxi Zhuang Autonomous Region from January 2022 to December 2024 were collected as observation group,and 34 healthy medical checkupers were selected as control group.The changes in the levels of the indicators between two groups as well as before,during and after the treatment of observation group were compared,and observation group was divided into remission group and non-remission group according to the efficacy criteria,and the levels of the indicators between two groups were further compared.Risk factors for the efficacy and prognosis of AML patients were analyzed by using Logistic regression analysis.Results Before treatment,the levels of prothrombin time(PT),activated partial thromboplastin time(APTT),D-D,FDP,t-PAIC,PIC,TM and TAT in observation group were significantly higher than those in control group(P＜0.05),whereas there was no significant difference in fibrinogen(Fib)compared with control group(P＞0.05).During the treatment,the levels of t-PAIC and TM in observation group were higher than those before treatment(P＜0.05);After treatment,the levels of PT,D-D,FDP,PIC and TAT in observation group were significantly lower than those before treatment(P＜0.05).After treatment,the levels of PT,D-D,FDP,t-PAIC,PIC,TM and TAT were all lower than those during treatment(P＜0.05).The D-D,FDP,t-PAIC,PIC,TAT and TM levels in non-remission group were all higher than those in remission group,with the t-PAIC and TM levels showing statistical significance(P＜0.05).Binary Logistic regression analysis showed that t-PAIC was an independent risk factor affecting the efficacy and prognosis of AML patients(P＜0.05,OR=1.205,95％CI:1.015-1.430).Conclusion Regular testing of D-D,FDP,TM,TAT,t-PAIC and PIC levels can help to assess the disease changes and efficacy prognosis of AML patients,and provide an important reference for clinical decision-making.

Objective:To identify the prognostic value of the Revised 15-item Myelodysplastic Syndrome-specific frailty scale (FS-15) in Chinese patients with myelodysplastic syndromes (MDS) .Methods:This retrospective study analyzed 812 patients with newly diagnosed MDS admitted to the Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College from August 2016 to June 2023. Patients were assessed using the FS-15 and subsequently categorized into frail and non-frail groups. Clinical and laboratory characteristics, as well as overall survival (OS), were compared between these groups.Results:① The median patient age was 55 years ( IQR 45–64), with a median follow-up of 22.5 months (95% CI: 20.2–24.9) and a median OS of 43.3 months (95% CI: 36.8–49.8). The median FS-15 score was 0.42, with a cutoff value of 0.44. Male patients demonstrated higher median FS-15 scores than female patients (0.42 vs 0.38, P=0.006). In both the Revised International Prognostic Scoring System (IPSS-R; P=0.001) and Molecular International Prognostic Scoring System (IPSS-M; P=0.014) stratifications, FS-15 scores were significantly higher in the very high-risk group compared with the very low-risk group. ② The median OS was 54.7 months (95% CI: 47.5–NA) and 31.5 months (95% CI: 22.9–41.0) in the nonfrail ( n=452) and frail groups ( n=360), respectively ( P<0.001). The 3-year OS rates were (63.2 ± 3.2) % and (46.4 ± 3.6) % for the non-frail and frail groups, with 5-year OS rates of (49.9 ± 4.7) % and (32.0 ± 4.3) %, respectively ( P<0.001). ③Subgroup analysis revealed that nonfrail patients demonstrated significantly higher 3-year OS rates than frail patients in both the IPSS-M low-risk and very high-risk groups (all P<0.05). Similarly, nonfrail patients demonstrated superior 3-year OS rates compared with frail patients in the IPSS-R very low-risk, low-risk, and high-risk groups (all P<0.05). ④Among patients receiving hypomethylating agent therapy, the overall response rate was significantly higher in the non-frail group than in the frail group (86.7% vs 64.6%, P=0.007). Moreover, the frail group experienced higher rates of treatment-related adverse events, including febrile neutropenia (67.1% vs 47.4%, P=0.016) and liver function abnormalities (30.0% vs 14.5%, P=0.023), compared with the non-frail group. Conclusion:The FS-15 frailty score is a feasible and effective tool for assessing frailty in patients newly diagnosed with MDS in China and serves as a valuable prognostic indicator.

Objectives:To investigate the effect of non-optimal temperature exposure during pregnancy on the risk for preterm birth and identify the susceptible exposure window. At the same time, the interaction between non-optimal temperature and pollutants exposure during pregnancy on preterm birth was analyzed, in order to provide strong clues for the influence of non-optimal temperature exposure during pregnancy on the risk for preterm birth.Methods:A total of 1 852 pregnant women were recruited from September 2021 to June 2023 in Fujian Provincial Maternal and Child Health Care Center. Questionnaire survey was conducted, and their health records were analyzed. The permanent address of each pregnant woman was matched with Fifth Generation European Centre for Medium-Range Weather Forecasts Atmospheric Reanalysis of the Global Climate and a geo-statistical combination model based on satellite remote sensing data collection, then follow-up for pregnancy outcome was conducted. Distributed lag nonlinear model was used to assess the association between exposure to non-optimal temperature during pregnancy and the risk for preterm birth and a multiplicative interaction model was used to assess the interaction between exposure to pollutants and non-optimal temperatures during pregnancy on the risk for preterm birth.Results:After adjusting for potential confounders such as maternal age, occupation, Gross Domestic Product of the region, pre-pregnancy preconception BMI, newborn sex, the weekly susceptibility windows of extreme low temperature ( P1, P3, P5) were week 1-22 , and the weekly susceptibility windows of extreme high temperature ( P95, P97, P99) were week 27 and week 32-36. Extreme low temperature [ P1 ( OR=1.147, 95% CI: 1.041-1.265), P5 ( OR=1.284, 95% CI: 1.035-1.501)] and extreme high temperature [ P97 ( OR=1.146, 95% CI: 1.039-1.263), P99 ( OR=1.216, 95% CI: 1.099-1.345)] exhibited multiplicative interaction with PM 2.5. Conclusions:Exposure to non-optimal temperature during pregnancy was associated with an increased risk for preterm birth. The susceptible exposure windows of extreme low temperature were mainly in early and mid-pregnancy, and the susceptible exposure windows of extreme high temperature were mainly in late-pregnancy. Exposure to non-optimal temperatures and pollutants during pregnancy was associated with an increased risk for preterm birth.