1.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(4):445-454
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.
2.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
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.
3.Epidemiological characteristics and influencing factors of cigarette users and cigarette-cigar dual users in China
Yi LIU ; Yinghua LI ; Xin XIA ; Zheng SU ; Zhenxiao HUANG ; Ying XIE ; Zhao LIU ; Anqi CHENG ; Xinmei ZHOU ; Qingqing SONG ; Yuxin SHI ; Shunyi SHI ; Ailifeire AIHEMAITI ; Jiahui HE ; Liang ZHAO ; Dan XIAO ; Chen WANG
Chinese Journal of Health Management 2025;19(5):335-342
Objective:To analyze the epidemiological characteristics and influencing factors of single-cigarette use and dual cigarette-cigar use in China.Methods:This study was a cross-sectional study that selected 85 638 urban and rural residents who met the inclusion criteria from the 2018 China Health Literacy Survey as research subjects. An analysis was conducted on 21 849 users of cigarettes and cigars among them. Due to the small number of individuals who exclusively used cigars (247 cases), the research subjects were divided into two categories: exclusive cigarette users and dual users of cigarettes and cigars. The groups were categorized by age (18-34 years, 35-54 years, ≥55 years), gender (male, female), education level (primary school and below, junior high school and high school, university and above) and annual household income (<20 000 yuan, 20 000-<80 000 yuan, ≥80 000 yuan) to compare the tobacco usage rate and conduct subgroup analyses for each subgroup. Multivariate logistic regression analysis was employed, incorporating general demographic characteristic information to explore the influencing factors of exclusive cigarette use and dual use of cigarettes and cigars, respectively.Results:The rate of exclusive cigarette use in our country was 24.3%, while the dual use rate of cigarettes and cigars was 0.9%. The exclusive cigarette use rate and the dual use rate of cigarettes and cigars among males were significantly higher than those among females (48.25% vs 2.48%, and 1.84% vs 0.06%) (both P<0.001). For males, the high-risk factors for exclusive cigarette use included living in urban areas ( OR: 1.37, 95% CI: 1.23-1.54), being Han ethnicity ( OR: 1.73, 95% CI: 1.51-1.98), and having an annual household income ≥20 000 yuan ( OR: 1.54, 95% CI: 1.38-1.82) while having a junior high school education or higher was a protective factor ( OR: 0.68, 95% CI: 0.52-0.90). Age≥35 years ( OR: 3.36, 95% CI: 2.62-4.32) and having a junior high school education or higher ( OR: 1.30, 95% CI: 1.02-1.67) were risk factors for dual use of cigarettes and cigars in males. Among females, living in urban areas ( OR: 1.53, 95% CI: 1.19-1.97) and being Han ethnicity ( OR: 5.96, 95% CI: 4.47-7.96) were risk factors for exclusive cigarette use, while having a university education or higher was a protective factor ( OR: 0.28, 95% CI: 0.18-0.42). However, for female dual use of cigarettes and cigars, no significant effects were observed for any demographic characteristics. Conclusions:The use rate of cigarettes alone in China is significantly higher than that of cigarette-cigar dual use, and the rates of cigarette use alone and cigarette-cigar dual use in men are significantly higher than those in women. Tobacco use is being affected by sociodemographic factors, among which place of residence, ethnicity and education level are the main influencing factors of cigarette use alone, and gender, age and education level are the main influencing factors of cigarette-cigar dual use.
4.Detection status and its influencing factors of ovarian-adnexal masses in the physical examination population based on the Ovarian-Adnexal Imaging Reporting and Data System of the American College of Radiology
Wei WEI ; Ying GAO ; Yue ZHAO ; Qing ZHANG ; Qiyu JIA ; Haiyan SU ; Ying HAN
Chinese Journal of Health Management 2025;19(10):787-793
Objective:To analyze the detection status and its influencing factors of ovarian-adnexal masses in the physical examination population based on the Ovarian-Adnexal Imaging Reporting and Data System (O-RADS) of the American College of Radiology.Methods:This cross-sectional study retrospectively analyzed the clinical data of 24 316 physical examination participants who underwent gynecological color Doppler ultrasound examinations at the Health Management Center of Tianjin Medical University General Hospital from January to December 2021. The subjects were classified and followed-up according to O-RADS, and the detection rate and malignancy rate of ovarian-adnexal masses in different classifications were compared. According to O-RADS classification criteria, the physical examination population were divided into healthy control group (without ovarian-adnexal masses and O-RADS 1 class, 23 188 cases), benign group (O-RADS 2 class, 946 cases) and malignant group (O-RADS 3-5 class, 182 cases). The basic information of the three groups were compared, including age, body mass index (BMI), menopausal status, marital status, smoking history, drinking history, physical exercise, complete blood count, blood glucose, blood lipids, tumor markers, etc. The logistic regression was used to analyze the factors affecting the detection of ovarian-adnexal masses.Results:A total of 24 316 individuals were included, 1 678 with ovario-adnexal masses were screened, among the cases, there were 550 normal premenopausal ovaries (32.78%), and 1 128 cases were confirmed with pathological masses (67.22%). Of the 318 cases with follow-up records, the malignancy rate for O-RADS 4 class was 50%, and for O-RADS 5 class, it was 100%, according to the follow-up results. The age ( OR=1.320, 95% CI: 1.055-1.653), BMI ( OR=0.972, 95% CI: 0.954-0.989), carbohydrate antigen 125(CA125) ( OR=1.090, 95% CI: 1.023-1.161), postmenopausal ( OR=0.919, 95% CI: 0.892-0.947) and married and cohabiting ( OR=0.921, 95% CI: 0.895-0.949) were positively correlated with risk of ovarian-adnexal masses (all P0.05). Conclusions:The O-RADS classification system has high application value in evaluating the malignant risk of ovarian-adnexal masses; the age, BMI, CA125 levels, menopausal status, and marital status are significant influencing factors for the detection of ovarian-adnexal masses.
5.Burden of influenza-associated consultations in China from 2011 to 2021 surveillance years
Yuxin SHEN ; Zhibin PENG ; Ying QIN ; Xiaoying YU ; Rina SU ; Qingyi WANG ; Jiandong ZHENG ; Hongting ZHAO ; Xiaokun YANG ; Yanping ZHANG
Chinese Journal of Epidemiology 2025;46(4):612-618
Objective:To estimate the burden of influenza-associated outpatient consultations in China from 2011 to 2021 surveillance years to provide a reference for developing influenza prevention, control strategies, and vaccination policies.Methods:Data on influenza-like illness (ILI) and virological confirmation of sentinel specimens from 2011 to 2021 surveillance years were extracted from China's national sentinel surveillance system. Generalized additive models were fitted to estimate influenza-associated excess ILI outpatient burden, accounting for seasonal baselines and meteorological factors.Results:Influenza was associated with an average of 1.66 (95% CI: 1.51-1.80) excess ILI consultations per 1 000 person-years (py) in China each year from 2011 to 2021 surveillance years. The influenza-associated outpatient burden was similar across different virus types/subtypes. Influenza A(H1N1)pdm09 led to a higher rate of influenza- associated ILI consultations [0.65 (95% CI: 0.53-0.76) per 1 000 py] compared to other types/subtypes. The age groups with the highest burdens were children aged 0-4 years and 5-14 years, with excess outpatient consultation rates of 15.23 (95% CI: 13.73-16.73) per 1 000 py and 13.53 (95% CI: 12.49-14.52) per 1 000 py, respectively. Conclusions:Influenza caused many outpatient consultations in China, particularly among children aged 0-14. Continuous influenza monitoring and disease burden assessment should be conducted, and close attention should be paid to the changing trends of various influenza virus types/subtypes. When formulating vaccination strategies, priority should be given to recommending vaccination for high-risk populations, such as children.
6.Analysis on correlation of cerebral infarct area with cytokines and immune status in patients with acute ischemic stroke
Xingqi SU ; Lingmin ZHAO ; Di MA ; Jiulin YOU ; Ying CHEN ; Liangshu FENG ; Jing WANG ; Jiachun FENG ; Chuan WANG
Journal of Jilin University(Medicine Edition) 2025;51(1):124-132
Objective:To explore the correlations between the cerebral infarction area and cytokines and immune status in patients with acute ischemic stroke,and to provide the theoretical basis for immunotherapy of the patients with different degrees of cerebral infarction.Methods:Sixty-seven patients with acute ischemic stroke within 72 h of the onset were randomly selected according to the inclusion and exclusion criteria,and were divided into large-area cerebral infarction group(n=34)and non-large-area cerebral infarction group(n=33)on the basis of the biggest infarction area in the sequences of magnetic resonance diffusion-weighted imaging(CDWI).Clinical baseline characteristics such as gender,age,and medical history were collected from the patients in two groups,the serum levels of interleukin(IL)-2,IL-6,IL-10,and IL-17A,tumor necrosis factor-α(TNF-α),and interferon-γ(IFN-γ)were measured using flow cytometry;the absolute values of lymphocytes(LYM#),lymphocyte percentages(LYM%),and neutrophil/lymphocy ratios(NLR)in peripheral blood of the patients caiculated,and the ratios of IFN-γ/IL-4,TNF-α/IL-4,and TNF-α/IL-10 rations were also calculated.The values of National Institutes of Health Stroke Scale(NIHSS)scores of the patients were evaluatd on the basis of the assessment of clinical neurological signs.The correlations of the cerebral infarction area and NIHSS score,cytokines and immune status groups of the patients in two were tested by rank correlation analysis.Results:Compared with non-large-area cerebral infarction group,the serum levels of IL-2,IL-6,IL-10,IL-17A,TNF-α,and IFN-γ as well as the NLR in the peripheral blood of the patients in large-area cerebral infarction group were significantly increased(P<0.01),while the LYM#,LYM%and TNF-α/IL-4 were significantly decreased(P<0.01).There was a positive correlation between cerebral infarction area and NIHSS score in the patients in large-area cerebral infarction group(rs=0.521,P<0.05),and there was a significantly positive correlation between cerebral infarct area and NIHSS score in the patients in non-large-area cerebral infarction group(rs=0.721,P<0.001).The NIHSS scores were positively correlated with serum IL-6(rs=0.306,P=0.005),IL-4(rs=0.252,P<0.001),IL-2(rs=0.109,P=0.025),IL-17A(rs=0.405,P<0.001),and IFN-γ(rs=0.146,P<0.001)levels in two groups;no correlations were found between NIHSS scores and TNF-α(rs=0.039,P=0.726)and IL-10(rs=0.121,P=0.192)levels.NIHSS scores of the patients in two groups had negative correlatious with the serum level of LYM#(rs=-0.026,P=0.036)and LYM%(rs=-0.008,P=0.002),and had positive correlated with NLR(rs=0.315,P=0.009).Conclusion:The infarction area of the patients with actue cerebral infarction is correlated with the NIHSS score,the inflammatory response,the degree of adaptive immune injury,and the immune status.The have positive correlation with cytokines and immune markers and the overall size of the infarction area.Compared with the patients with non-large-acea cerebral infarction,the immunosuppression of the patients with large-area infarcted areas is more likely to occure.
7.Construction of goal management training program and its efficacy for mental health intervention in college students with inattentive attention deficit hyperactivity disorder
Hui HENG ; Yingcan ZHENG ; Ying HE ; Hong SU ; Yunxuan ZHAO ; Feijuan CUI ; Guoyu YANG
Journal of Army Medical University 2025;47(5):480-488
Objective To explore the efficacy of goal management training(GMT)on core symptoms and mental status in college students with attention deficit hyperactivity disorder(ADHD)inattentive type.Methods Delphi method was used to construct a GMT program for college students with inattentive ADHD.Then,totally 68 college students with inattentive ADHD were recruited through advertisements published by hospitals and universities(Second Affiliated Hospital of Army Medical University,and 3 universities in Chongqing from March to June 2024.The subjects were randomly divided into an intervention group(n=34)and a control group(n=34).The intervention group received GMT for 2 h,once a week,for 7 weeks,and the control group did not receive training for the time being.The 2 groups were evaluated within 1 week before and in 7 weeks after intervention by using Adult ADHD Self-Report Scale(ASRS),Dysregulation of Emotions Rating Scale(DERS),Generalized Anxiety Disorde-7(GAD-7),Patient Health Questionnaire-9(PHQ-9),Self-Compassion Scale(SCS),and Satisfaction with Life Scale(SWLS).Results ① The expert authority coefficient(Cr)of 2 rounds of expert consultation was 0.83,with a questionnaire recovery rate of 100%and 95%,respectively,the Kendall's coordination coefficient was 0.081(P<0.01)and 0.226(P<0.01),and the coefficient of variation was<0.3,indicating the results of the expert consultation were reliable.The constructed GMT program includes 1 first-level indicator,7 second-level indicators,and 20 third-level indicators.② After 7 weeks of GMT intervention,the interaction between the 2 groups and time showed that the experimental group obtained significant improvements than the control group in terms of inattention symptoms(Wald Chi-square=28.35,P<0.001),dysregulation of emotions(Wald Chi-square=23.81,P<0.001),anxiety(Wald Chi-square=22.79,P<0.001),depression(Wald Chi-square=20.52,P<0.001),self-compassion(Wald Chi-square=9.36,P<0.01),and life satisfaction(Wald Chi-square=3.97,P<0.05).Conclusion GMT intervention can significantly improve the core symptoms of college students with inattentive ADHD,reduce anxiety and depression levels,enhance their emotion regulation and self-compassion abilities,and improve their life satisfaction.
8.TXNIP gene knockout ameliorates non-alcoholic fatty liver disease by regulating carbon flux of fatty acid synthesis and fatty acid oxidation
Jun-nan ZHAO ; Ai-yun LI ; Wan-zhen SU ; Xiao-xiao YIN ; Tong LI ; Xiang-ying JIAO
Chinese Pharmacological Bulletin 2025;41(8):1524-1530
Aim To investigate the effect of thioredox-in-interacting protein(TXNIP)on non-alcoholic fatty liver disease(NAFLD).Methods Littermate male wild(WT)mice and TXNIP gene whole-body knock-out(KO)mice were randomly divided into two groups:(1)normal diet(ND)group,and(2)The high-fat group,which was fed a high-fat diet(HFD)containing 60%fat for 12 weeks.Serum lipid-related indexes,liver injury indicators and hepatic fat content were detected using commercial kits.The protein lev-els of TXNIP,SLC25A1,SLC13A5,ACLY,CPT1a and PPARα were detected by Western blot.The gene ex-pressions of SLC25A1,SLC13A5 and ACLY were de-tected by RT-PCR.Results High fat diet increased TXNIP protein expression in the liver tissue.Compared with WT-HFD mice,the biochemical indexes in the se-rum and the liver of KO-HFD mice were improved.There was no significant difference in mRNA and pro-tein levels of SLC25A1 between the four groups of mice.For SLC13A5 and ACLY,the mRNA and protein levels of WT-HFD mice were up-regulated compared with WT mice,and these alterations were significantly restored in KO-HFD mice.Besides,compared with WT mice,the protein expressions of the fatty acid oxidation-related protein PPARα and CPT1a proteins in WT-HFD mice decreased,while the protein expressions of PPARα and CPT1 a in KO-HFD mice were significantly enhanced.Conclusion TXNIP gene knockout can improve hepatic steatosis and delay the progression of NAFLD by inhibiting the carbon flux of fatty acid syn-thesis and promoting fatty acid oxidation.
9.Changing resistance profiles of Haemophilus influenzae and Moraxella catarrhalis isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Hui FAN ; Chunhong SHAO ; Jia WANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Yunsheng CHEN ; Qing MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Wenqi SONG ; Kaizhen WEN ; Yirong ZHANG ; Chuanqing WANG ; Pan FU ; Chao ZHUO ; Danhong SU ; Jiangwei KE ; Shuping ZHOU ; Hua ZHANG ; Fangfang HU ; Mei KANG ; Chao HE ; Hua YU ; Xiangning HUANG ; Yingchun XU ; Xiaojiang ZHANG ; Wenen LIU ; Yanming LI ; Lei ZHU ; Jinhua MENG ; Shifu WANG ; Bin SHAN ; Yan DU ; Wei JIA ; Gang LI ; Jiao FENG ; Ping GONG ; Miao SONG ; Lianhua WEI ; Xin WANG ; Ruizhong WANG ; Hua FANG ; Sufang GUO ; Yanyan WANG ; Dawen GUO ; Jinying ZHAO ; Lixia ZHANG ; Juan MA ; Han SHEN ; Wanqing ZHOU ; Ruyi GUO ; Yan ZHU ; Jinsong WU ; Yuemei LU ; Yuxing NI ; Jingrong SUN ; Xiaobo MA ; Yanqing ZHENG ; Yunsong YU ; Jie LIN ; Ziyong SUN ; Zhongju CHEN ; Zhidong HU ; Jin LI ; Fengbo ZHANG ; Ping JI ; Yunjian HU ; Xiaoman AI ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Xuesong XU ; Chao YAN ; Yi LI ; Shanmei WANG ; Hongqin GU ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Jihong LI ; Bixia YU ; Cunshan KOU ; Jilu SHEN ; Wenhui HUANG ; Xiuli YANG ; Likang ZHU ; Lin JIANG ; Wen HE ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):30-38
Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91%of the total clinical isolates and 4.07%of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89%were isolated from children and 33.11%were isolated from adults.More than 90%of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79%in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06%were isolated from children and 19.94%isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0%.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.
10.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.

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