1.Influencing Factors of Depression in Patients with Postoperative Ovarian Cancer
Jialiang YAO ; Long ZHANG ; Jianhui TIAN ; Ze LIU ; Yun YANG ; Yiyang ZHOU ; Minghua LI ; Wang YAO ; Wenfei SHI ; Xinyi LU ; Pan YU ; Enchao CONG
Cancer Research on Prevention and Treatment 2026;53(5):349-359
Objective To explore the prevalence of depressive symptoms in postoperative patients with ovarian cancer and to analyze its influencing factors from multiple dimensions, including clinical characteristics, psychological factors, and laboratory indicators. Methods A cross-sectional study was conducted, which enrolled 235 postoperative patients with ovarian cancer. Depressive status was assessed using the patient health questionnaire, and the demographic, pathological, and medical record data of the patients were collected using the generalized anxiety disorder scale, Pittsburgh sleep quality index, European organization for research and treatment of cancer quality of life questionnaire core 30, and ECOG performance status score. Peripheral blood tumor marker (CA125), routine blood test, lymphocyte subsets, and serum cytokine levels were measured. Univariate and multivariate binary logistic regression analysis were used for statistical analysis. Results The prevalence of depression in postoperative patients with ovarian cancer was 39.15% (92/235). Univariate analysis showed that ECOG score ≥ 2 points, pain, anxiety, poor sleep quality, low quality of life, low life satisfaction, tumor recurrence, six or more cycles of chemotherapy, as well as higher levels of CA125, NLR, and NAR, and lower hemoglobin levels were significantly associated with depression (all P<0.05). Multivariate binary Logistic regression analysis showed that anxiety (OR=1.975, 95%CI: 1.231-3.170), sleep efficiency (OR=4.181, 95%CI: 1.211-14.43), sleep latency (OR=34.806, 95%CI: 4.258-284.542), ECOG performance status score, cognitive function (OR=0.918, 95%CI: 0.868-0.97), and life satisfaction were independent risk factors for depression (all P<0.05). Laboratory indicators were not independent influencing factors in the multivariate Logistic regression model. Conclusion Depression in postoperative patients with ovarian cancer is influenced by physiological, psychological, and social factors. Clinical management should focus on patients with anxiety, sleep disorders, poor physical condition, and low life satisfaction, and a comprehensive prevention and treatment strategy centered on psychological intervention and taking into account symptom management and social support should be implemented.
2.Clinical value of puncture biopsy in the diagnosis of hepatocellular carcinoma subtypes
Xueqin TIAN ; Jiapeng WU ; Lu LI ; Chuan PANG ; Chaonan CHEN ; Jie YU ; Ping LIANG
Chinese Journal of Hepatobiliary Surgery 2025;31(6):426-432
Objective:To investigate the clinical value of puncture biopsy for the diagnosis of vessels that encapsulate tumor clusters (VETC) and macrotrabecular-massive (MTM) subtypes of hepatocellular carcinoma (HCC).Methods:One hundred and eighty-four patients with HCC who underwent surgical resection at the Fifth Medical Centre of Chinses PLA General Hospital from November 2023 to July 2024 were prospectively collected, including 154 males and 30 females, aged (57.1±8.6) years. By simulating the clinical puncture procedure, puncture biopsy tissue specimens were obtained postoperatively from the patient's isolated tumors. The puncture biopsies and surgical resection specimens were stained with HE and CD34, and evaluated for VETC and MTM. Patients were divided into two groups based on the histopathological VETC results of surgically resected specimens: the VETC-positive group ( n=41) and the VETC-negative group ( n=143); and two groups based on the histopathological MTM results of surgically resected specimens: the MTM-positive group ( n=39) and the MTM-negative group ( n=145). Clinical data such as gender, age, tumor length, and alpha-fetoprotein (AFP) were recorded. Logistic regression analysis was performed to screen the risk factors of VETC and MTM. Evaluating the diagnostic efficacy of puncture biopsy for VETC and MTM. Results:The results of multivariable logistic analysis showed that puncture biopsy VETC-positive ( OR=63.97, 95% CI: 16.28-251.29), grade of M2 microvascular invasion ( OR=5.07, 95% CI: 1.31-19.59) and tumor length ≥5 cm ( OR=3.42, 95% CI: 1.11-10.52) were the risk factors for VETC-positive (all P<0.05); whereas the risk factors for MTM-positive were only puncture biopsy MTM-positive ( OR=34.78, 95% CI: 12.06-100.29, P<0.001). Puncture biopsy correctly diagnosed VETC subtype in 163 patients with a diagnostic accuracy of 0.89, sensitivity of 0.61, specificity of 0.97, positive predictive value (PPV) of 0.83, and negative predictive value (NPV) of 0.90; MTM subtype was correctly diagnosed in 164 patients with a diagnostic accuracy of 0.89, sensitivity of 0.72, specificity of 0.94, PPV of 0.76, and NPV of 0.93. Using the three indicators of puncture biopsy diagnosis, tumor length and AFP level as a combined indicator, the accuracy to diagnose VETC was 0.83, sensitivity was 0.71, specificity was 0.87, PPV was 0.60, and NPV was 0.91; and the combined indicator diagnosis of MTM had a diagnostic accuracy of 0.85, a sensitivity of 0.82, specificity of 0.86, PPV of 0.68 and NPV of 0.95. Conclusion:Puncture biopsy has high specificity and accuracy in the diagnosis of VETC and MTM subtypes, but the sensitivity is relatively limited, and the role of puncture combined with clinical factors in improving diagnostic efficacy is limited.
3.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.
4.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.
5.Study on the Mechanism of Xijiao Dihuang Decoction Regulating Histone H3K36 Trimethylation to Inhibit Inflammatory Re-sponse in Sepsis
Yeyan ZHU ; Fang TIAN ; Fan GE ; Qixiang YAN ; Qimeng SUN ; Leyao YE ; Chengtao YU ; Jiang ZHOU ; Jun LU
Journal of Nanjing University of Traditional Chinese Medicine 2025;41(6):777-793
OBJECTIVE To explore the molecular mechanism of Xijiao Dihuang Decoction(XJDHT)in inhibiting inflammatory response in sepsis based on network pharmacology,molecular docking and in vitro and in vivo experiments.METHODS Active com-ponents of XJDHT were screened using the TCMSP and HERB databases.Sepsis-related targets and histone H3K36 trimethylation(H3K36me3)-associated targets were retrieved from GeneCard,OMIM,and DisGeNet databases.A protein-protein interaction(PPI)network was constructed using the STRING database,and core targets were identified via Cytoscape 3.9.1.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses were performed to predict potential mechanisms.Mo-lecular docking validated ligand-receptor binding affinity.A cecal ligation and puncture(CLP)model was established in mice to evalu-ate 24-hour sepsis scores(MSS)and survival rates.Blood routine parameters were analyzed using an automated hematology analyzer.Serum IL-1β and TNF-α levels were measured by ELISA.Liver histopathology was assessed via HE staining,and H3K36me3 expression in Kupffer cells was detected by immunofluorescence.In vitro,LPS-induced THP-1 cells were used as an in-flammatory model.ChIP-qPCR evaluated H3K36me3 enrichment at IL-1β and TNF-α gene loci.Western blot analyzed HIF-1α,EGFR,and AKT1 pathway proteins.RESULTS A total of 28 active components of XJDHT were identified,corresponding to 987 gene targets,with 189 overlapping sepsis-related targets.Core targets included TNF,IL1B,and GAPDH.Enriched pathways includ-ed EGFR tyrosine kinase inhibitor resistance.Molecular docking confirmed strong binding between core components and key targets.In vivo,compared to the sham group,the CLP group exhibited significantly reduced 24-hour survival(P<0.01),elevated MSS(P<0.01),immune imbalance,and increased serum IL-1β and TNF-α levels(P<0.01).High-and low-dose XJDHT intervention im-proved survival(P<0.01),reduced MSS(P<0.01),restored immune homeostasis,and dose-dependently suppressed IL-1β and TNF-α(P<0.01).CLP mice showed elevated H3K36me3 in Kupffer cells and severe hepatic inflammation,while XJDHT dose-de-pendently reduced H3K36me3(P<0.05)and attenuated liver injury.In peritoneal macrophages,CLP upregulated H3K36me3,IL-1β,TNF-α,HIF-1α,p-AKT1/AKT1,and EGFR(P<0.01),which were reversed by XJDHT(P<0.05,P<0.01).In vitro,LPS increased H3K36me3 and IL-1β and TNF-α expression(P<0.01),with ChIP-qPCR confirming H3K36me3 enrichment at IL-1β lo-ci(P<0.01).Treatment with 15%XJDHT-containing serum for 24 h reduced H3K36me3(P<0.01),diminished its recruitment to IL-1β loci(P<0.01),and inhibited LPS-induced activation of EGFR,HIF-1α,and p-AKT1/AKT1(P<0.05,P<0.01).HIF-1α agonist Dimethyloxallyl Glycine(DMOG)further validated that XJDHT suppressed H3K36me3-mediated epigenetic remodeling via HIF-1α-related pathways.CONCLUSION XJDHT inhibits inflammatory responses,regulates immune homeostasis,and improves sepsis prognosis,potentially by modulating H3K36me3 epigenetic modifications at IL-1β loci.
6.Implementation evaluation and analysis of occupational exposure limits for hazardous agents in the workplace Part 1: Chemical hazardous agents (GBZ 2.1-2019)
Wenjie LI ; Tao LI ; Tuo LIU ; Chen YU ; Dan WANG ; Yang LU ; Xiaoshuang XIE ; Peng QIN ; Kaining TIAN ; Qiuhong ZHU
Chinese Journal of Industrial Hygiene and Occupational Diseases 2025;43(5):364-367
Objective:By systematically evaluate the implementation of GBZ 2.1, so as to provide technical basis for the future revisions of this standard.Methods:From May to October 2023, Based on the pre survey questionnaire, the semi-structured interview method was used to interviews with experts from CDC, Occupational disease prevention and control hospital institutes, employers, occupational hygiene technical service intermediaries and universities, and the inductive method was used to extract the topics and relevant suggestions.Results:Generally, GBZ 2.1 is scientific, practical, progressiveness and operable. There are still some issues such as OELs overlapping and the correspondence between Chinese and English names. The outstanding problem is the coordination with other standard contents.Conclusion:The technical indicators in GBZ 2.1 could adapt to the needs of current practical work. The coordination between standards needs to be clarified, and the new recommended content needs further promotion and exploration on how to implement it.
7.Study on the effectiveness and safety of a novel intravascular shock wave balloon for pre-treatment of severe coronary artery calcification lesions
Rui-tao ZHANG ; Zhen-yu TIAN ; Yong ZENG ; Guo-sheng FU ; Li XU ; Jian LIU ; Jian-ping LI ; Zhi-hui ZHANG ; Xin-qun HU ; Xiang CHENG ; Wen LU ; Ming CUI ; Yi-da TANG
Chinese Journal of Interventional Cardiology 2025;33(2):61-70
Objective To evaluate the efficacy and safety of a novel intravascular lithotripsy(IVL)balloon—Vesscrack shockwave balloon—for vascular preparation before stent implantation in patients with severe coronary artery calcification(CAC).Methods This was a prospective,single-arm,multicenter study conducted in China from June 2022 to October 2022.Patients with severe CAC were treated with the Vesscrack shockwave balloon for lesion preparation,followed by drug-eluting stent(DES)implantation.Of these,33 patients underwent optical coherence tomography(OCT).The primary endpoint was procedural success,defined as successful stent implantation with residual stenosis≤30%and the absence of in-hospital major adverse events,including cardiac death,target vessel-related myocardial infarction,or target lesion revascularization.Results A total of 170 patients[mean age:(65.9±7.9)years,116 males]were enrolled.After treatment with IVL and DES,the minimum lumen diameter increased significantly compared to baseline[(2.34±0.40)mm vs.(0.95±0.33)mm,P<0.001],the degree of stenosis was significantly reduced[(13.24±6.60)%vs.(65.18±10.59)%,P<0.001].Procedural success was achieved in 100%of cases,and device success was 98.8%.The 30-day patient-related cardiovascular clinical composite endpoint(POCE)rate was 0.0,with no target lesion failure,no confirmed or potential thrombotic events were observed.The shockwave energy generator demonstrated excellent stability and ease of use.Among the 33 patients assessed with OCT,after IVL intervention,the maximum calcified area of the lumen[(3.51±1.51)mm2 vs.(2.85±1.80)mm2,P<0.001],and the minimum lumen area within the target lesion[(3.08±1.04)mm2 vs.(2.02±0.75)mm2,P<0.001],and after DES intervention,the luminal area of the largest calcified site[(6.59±1.64)mm2 vs.(2.85±1.80)mm2,P<0.001]and the minimum luminal area within the target lesion[(6.19±1.45)mm2 vs.(2.02±0.75)mm2,P<0.001]were significantly increased,and the differences were statistically significant.Conclusions The Vesscrack shockwave balloon is effective and safe for vascular preparation in patients with severe CAC prior to stent implantation.It achieves significant calcified plaque modification,high procedural success rates,and minimal complications.
8.Analysis of surveillance results of water-borne endemic fluorosis in Anhui Province from 2019 to 2022
Chen YU ; Xian XU ; Cuicui TIAN ; Zijian LIU ; Xuechun LU ; Tao ZHANG ; Weidong LI
Chinese Journal of Endemiology 2025;44(1):17-20
Objective:To investigate the current situation of water-borne endemic fluorosis in Anhui Province, and provide basic data for the adjusting the prevention and control measures.Methods:Using cross-sectional survey method, all villages in the water-borne endemic fluorosis areas were investigated in Anhui Province from 2019 to 2022. In water-borne endemic fluorosis village, the situation of water improvement project and the fluoride level of drinking water were investigated, and dental fluorosis of all children aged 8 - 12 was examined. The criteria for determining the achievement of control targets for water-borne endemic fluorosis in affected counties were based on the "Evaluation Measures for Control and Elimination of Key Endemic Diseases (2019 Edition)".Results:From 2019 to 2022, the rate of water improvement village in water-borne endemic fluorosis areas were 88.47% (1 527/1 726), 100% (1 726/1 726), 100% (1 726/1 726) and 100% (1 726/1 726), respectively. The qualified proportion of water fluoride in water-borne endemic fluorosis villages was 33.84% (584/1 726), 63.09% (1 089/1 726), 70.74% (1 221/1 726) and 74.33% (1 283/1 726), respectively. The prevalence rates of dental fluorosis in children aged 8 - 12 were 25.48% (45 461/178 440), 15.78% (27 959/177 200), 13.68% (23 505/171 880) and 12.66% (23 315/184 200), respectively. The proportion of affected counties that had achieved the control target of water-borne endemic fluorosis was 16% (4/25), 60% (15/25), 36% (9/25) and 40% (10/25), respectively.Conclusions:The water-borne endemic fluorosis areas in Anhui Province have improved the water fluoride qualification rate and reduced the incidence of fluorosis in children through prevention and control measures such as water improvement and fluoride reduction. However, the prevention and control efforts in key areas and counties need to be further improved.
9.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
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.
10.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; 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 ; 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(3):290-302
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.

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