1.Application of Mini-CEX evaluation Model Based on OBE concept in Clinical Practice Teaching of Neurology DePartment
Yanping LI ; Fei YANG ; Qian OUYANG ; Hongbin YU ; Gang WU ; Xiaolin DONG ; Huan WEI ; Qingyun LI ; Yi ZENG
Journal of Kunming Medical University 2024;45(3):192-197
Objective To explore the application effect of the Mini-CEX evaluation model based on the OBE concept in the clinical Practice teaching of neurology.Methods We Selected 100 students who will Practice in the Department of Neurology from 2022 to 2023 as the research objects,and divided them into the experimental group(n=50)and the control group(n=50).Under the guidance of the OBE concept,the experimental group was guided by learning outcomes,refined the teaching objectives,and applied the Mini-CEX evaluation mode for evaluation and feedback.In contrast,the control group adopted the traditional teaching mode.Combined with the observation data,we analyzed and compared the data of various indicators of the two groups of students at the beginning and end of the internship.Results At the end of the internship,the scores of clinical consultation,Physical examination,humanistic medicine,clinical diagnosis,health consultation,organizational effect,and overall evaluation of the experimental group were significantly improved and were higher than those of the control group.After the Practice,in terms of skill test scores,the experimental group scored higher than the control group,the difference was statistically significant(P<0.05),and the experimental group also scored higher in satisfaction evaluation than the control group.Conclusion The Mini-CEX evaluation teaching model based on the concept of OBE is applied to the clinical practice teaching of the neurology department,which can enhance the training effect of students'clinical practice skills.
2.Rapid enzyme-free colorimetric analysis of alpha-fetoprotein by combining triple-helix molecular probe and catalytic hairpin assembly reaction
Qin WENG ; Yan DONG ; Gang BAI ; Xiaodong LEI ; Hua YU
Chongqing Medicine 2024;53(19):2892-2897,2906
Objective To construct a novel enzyme-free colorimetric biosensor(T-CHA)based on tri-ple-helix molecular probe(THMP)and catalytic hairpin assembly(CHA)reaction for visual detection and precise quantitative analysis of low-abundance alpha-fetoprotein(AFP).Methods The absorbance produced by AFP induced T-CHA system was recorded by gel electrophoresis and ultraviolet-visible spectrophotometer to evaluate the feasibility of T-CHA strategy.The molar concentration ratio of THMP and CHA,reaction time of CHA,temperature and pH value of buffer solution were optimized respectively.The color reaction of T-CHA was induced by different concentrations of AFP to explore the detection efficiency of T-CHA.Results Under the op-timal experimental conditions,the logarithmic values of AFP at different concentrations showed a linear rela-tionship from 5 μg/mL to 10 ng/mL,and the detection limit was 2.29 μg/mL.The T-CHA system could com-plete accurate quantitative analysis of low abundance AFP and visual free-labeled detection within 105 min,moreover the sensitivity of T-CHA was superior to that of ELISA.Conclusion Utilizing the low background leakage of THMP and the high catalytic efficiency of CHA,the T-CHA system could realize the early accurate diagnosis of hepatocellular carcinoma,moreover which has a certain application prospect in the real time detec-tion.
3.Identification of potential pathogenic genes of intestinal metaplasia based on transcriptomic sequencing and bioinformatics analysis
Bei PEI ; Yi ZHANG ; Siyuan WEI ; Yu MEI ; Biao SONG ; Gang DONG ; Ziang WEN ; Xuejun LI
Journal of Southern Medical University 2024;44(5):941-949
Objective To explore the potential pathogenic genes of intestinal metaplasia.Methods Twenty-one patients with intestinal metaplasia admitted to the Department of Gastroenterology at the Second Affiliated Hospital of Anhui University of Chinese Medicine from January,2022 to June,2022,and 21 healthy subjects undergoing gastroscopic examination during the same period were enrolled in this study.All the participants underwent gastroscopy and pathological examination,and gastric tissue samples were collected for transcriptome sequencing to screen for differentially expressed genes(DEGs).The biological functions of the DEGs were analyzed using bioinformatics analysis,and qRT-PCR was used to validate the results.Results Transcriptomic sequencing identified a total of 1373 DEGs,including 827 upregulated and 546 downregulated ones.The top 6 upregulated genes(AGMAT,CCL25,FABP1,CDX1,SPINK4,and MUC2),ranked based on their significance and average expression level,were selected for validation,and qRT-PCR showed significant upregulation of their mRNAs in the gastric tissues of patients with intestinal metaplasia(P<0.05).Conclusion AGMAT,CCL25,FABP1,CDX1,SPINK4,and MUC2 participate in the occurrence and development of intestinal metaplasia,and may serve as potential biomarkers for diagnosing intestinal metaplasia.
4.Identification of potential pathogenic genes of intestinal metaplasia based on transcriptomic sequencing and bioinformatics analysis
Bei PEI ; Yi ZHANG ; Siyuan WEI ; Yu MEI ; Biao SONG ; Gang DONG ; Ziang WEN ; Xuejun LI
Journal of Southern Medical University 2024;44(5):941-949
Objective To explore the potential pathogenic genes of intestinal metaplasia.Methods Twenty-one patients with intestinal metaplasia admitted to the Department of Gastroenterology at the Second Affiliated Hospital of Anhui University of Chinese Medicine from January,2022 to June,2022,and 21 healthy subjects undergoing gastroscopic examination during the same period were enrolled in this study.All the participants underwent gastroscopy and pathological examination,and gastric tissue samples were collected for transcriptome sequencing to screen for differentially expressed genes(DEGs).The biological functions of the DEGs were analyzed using bioinformatics analysis,and qRT-PCR was used to validate the results.Results Transcriptomic sequencing identified a total of 1373 DEGs,including 827 upregulated and 546 downregulated ones.The top 6 upregulated genes(AGMAT,CCL25,FABP1,CDX1,SPINK4,and MUC2),ranked based on their significance and average expression level,were selected for validation,and qRT-PCR showed significant upregulation of their mRNAs in the gastric tissues of patients with intestinal metaplasia(P<0.05).Conclusion AGMAT,CCL25,FABP1,CDX1,SPINK4,and MUC2 participate in the occurrence and development of intestinal metaplasia,and may serve as potential biomarkers for diagnosing intestinal metaplasia.
5.Evaluation of Germplasm Resources and Analysis of Medicinal Ingredients of Polygonatum odoratum(Mill.)Druce
Yu-Xuan ZHANG ; Gang-Qiang DONG ; Wei ZHANG ; Bin JIN ; Wei-Lin GUAN ; Qi SHEN
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(11):3008-3015
Objective To systematically evaluate the germplasm resources of Polygonatum odoratum(Mill.)Druce from the main producing areas in China.Methods A total of 35 tubers of Polygonatum odoratum from the main producing areas of China were collected to detect the water content,and the contents of nutrients including crude ash and crude fat,etc.and two medicinal components(polysaccharides and total flavonoids),and then the germplasm resources of Polygonatum odoratum were comprehensively evaluated by the coefficient of variation,correlation analysis and cluster analysis.Results In different Polygonatum odoratum tuber resources,the water content was 64.43%-83.78%,crude ash content was 1.03%-6.43%,lignin content was 2.83%-18.38%,cellulose content was 1.88%-4.73%,crude fat content was 2.85%-5.16%,crude protein content was 47.12-184.20 g/kg,the contents of polysaccharide and total flavonoids were 33.85-155.79 mg/g and 0.49-1.78 mg/g,respectively.Among them,the coefficients of variation for polysaccharide,crude ash,lignin,crude protein and total flavonoids were 0.45,0.42,0.38,0.31 and 0.30,respectively,showing large variations.There was a significant positive correlation between water content and contents of polysaccharide as well as various ingredient indexes in Polygonatum odoratum.The Polygonatum odoratum germplasm from different producing areas were mainly clustered into two types as follows:the first type was mainly from Guangdong and Hunan producing areas,the total flavonoids content being commonly higher,and the polysaccharide content of Polygonatum odoratum belongs to the second type in other producing areas was commonly higher.Four breeding materials with high content of medicinal ingredients were screened out by combining above indexes.Conclusion The high-quality germplasm was screened out through analyzing main nutrients and medicinal ingredients of Polygonatum odoratum tubers from different producing areas,contributing to providing data and material support for the evaluation of Polygonatum odoratum germplasm resources and strain breeding.
6.Clinical characterization and prediction modeling of lung cancer patients with high energy metabolism
Jiang-Shan REN ; Jun-Mei JIA ; Ping SUN ; Mei PING ; Qiong-Qiong ZHANG ; Yan-Yan LIU ; He-Ping ZHAO ; Yan CHEN ; Dong-Wen RONG ; Kang WANG ; Hai-Le QIU ; Chen-An LIU ; Yu-Yu FAN ; De-Gang YU
Medical Journal of Chinese People's Liberation Army 2024;49(9):1004-1010
Objective To analyze the clinical characteristics of high energy metabolism in lung cancer patients and its correlation with body composition,nutritional status,and quality of life,and to develop a corresponding risk prediction model.Methods Retrospectively analyzed 132 primary lung cancer patients admitted to the First Hospital of Shanxi Medical University from January 2022 to May 2023,and categorized into high(n=94)and low energy metabolism group(n=38)based on their metabolic status.Differences in clinical data,body composition,Patient Generated Subjective Global Assessment(PG-SGA)scores,and European Organization for Research and treatment of Cancer(EORTC)Quality of Life Questionnaire-Core 30(QLQ-C30)scores were compared between the two groups.Logistic regression was used to identify the risk factors for high energy metabolism in lung cancer patients,and a risk prediction model was established accordingly;the Hosmer-Lemeshow test was used to assess the model fit,and the ROC curve was used to test the predictive efficacy of the model.Results Of the 132 patients with primary lung cancer,94(71.2%)exhibited high energy metabolism.Compared with low energy metabolism group,patients in high-energy metabolism group had a smoking index of 400 or higher,advanced disease staging of stage Ⅲ or Ⅳ,and higher levels of IL-6 level,low adiposity index,low skeletal muscle index,and malnutrition(P<0.05),and lower levels of total protein,albumin,hemoglobin level,and prognostic nutritional index(PNI)(P<0.05).There was no significant difference in age,gender,height,weight,BMI and disease type between the two groups(P>0.05).Logistic regression analysis showed that smoking index≥400,advanced disease stage,IL-6≥3.775 ng/L,and PNI<46.43 were independent risk factors for high energy metabolism in lung cancer patients.The AUC of the ROC curve for the established prediction model of high energy metabolism in lung cancer patients was 0.834(95%CI 0.763-0.904).Conclusion The high energy metabolic risk prediction model of lung cancer patients established in this study has good fit and prediction efficiency.
7.Comparison and evaluation of three thyroid imaging reporting and data systems for medullary thyroid carcinoma
Jing YU ; Yuanjing HUANG ; Xiao MA ; Yaning KUANG ; Gang DONG ; Kefei CUI
Chinese Journal of Endocrine Surgery 2024;18(4):505-509
Objective:To investigate the diagnostic performance of different thyroid imaging reporting and data systems (TI-RADS) in the diagnosis of medullary thyroid carcinoma (MTC) .Methods:A total of 160 thyroid nodules diagnosed as MTC by postoperative pathology from Aug. 2011 to Aug. 2022 at the First Affiliated Hospital of Zhengzhou University were included. Additionally, 160 papillary thyroid carcinomas (PTC) and 160 benign nodules were randomly selected as controls during the same period. Differences in gender, age, nodule diameter and various ultrasound features were observed. The nodules were classified according to American College of Radiology (ACR) TI-RADS, artificial intelligence (AI) TI-RADS and Chinese (C TI-RADS). Then, receiver operating characteristic curve (ROC) were plotted to calculate the diagnostic value. The Kendall concordance coefficient was used to evaluate the interobserver consistency of each TI-RADS system.Results:There was no statistically significant difference in gender among the three groups ( χ2=1.17, P=0.558). However, significant differences were observed in age and nodule diameter ( F=12.08,40.12, P<0.001 for both). The area under ROC (AUC) for diagnosing MTC and benign nodules using ACR, AI, and C-TIRADS were 0.762, 0.773, and 0.761, respectively, with no statistically significant differences ( Z=1.33, 0.01, 0.87, P=0.183, 0.994, 0.386). However, the sensitivity of C TI-RADS (87.5%) was lower than that of ACR and AI TI-RADS (both 95.0%) ( P=0.018). After combining the biopsy threshold, the false negative rate of C-TIRADS was lower than that of ACR (30.6% vs. 41.3%) ( P=0.048) and AI TIRADS (30.6% vs. 43.1%) ( P=0.020). The inter-observer diagnostic consistency of C-TIRADS was superior to ACR (0.884 vs. 0.819, P<0.001) and AI TIRADS (0.884 vs. 0.839) ( P<0.001) . Conclusions:AI and ACR TI-RADS have higher sensitivity in diagnosing MTC, while C TI-RADS has a lower puncture missed diagnosis rate. AI has similar diagnostic performance to ACR TI-RADS and can replace ACR TI-RADS.
8.A multi-center epidemiological study on pneumococcal meningitis in children from 2019 to 2020
Cai-Yun WANG ; Hong-Mei XU ; Gang LIU ; Jing LIU ; Hui YU ; Bi-Quan CHEN ; Guo ZHENG ; Min SHU ; Li-Jun DU ; Zhi-Wei XU ; Li-Su HUANG ; Hai-Bo LI ; Dong WANG ; Song-Ting BAI ; Qing-Wen SHAN ; Chun-Hui ZHU ; Jian-Mei TIAN ; Jian-Hua HAO ; Ai-Wei LIN ; Dao-Jiong LIN ; Jin-Zhun WU ; Xin-Hua ZHANG ; Qing CAO ; Zhong-Bin TAO ; Yuan CHEN ; Guo-Long ZHU ; Ping XUE ; Zheng-Zhen TANG ; Xue-Wen SU ; Zheng-Hai QU ; Shi-Yong ZHAO ; Lin PANG ; Hui-Ling DENG ; Sai-Nan SHU ; Ying-Hu CHEN
Chinese Journal of Contemporary Pediatrics 2024;26(2):131-138
Objective To investigate the clinical characteristics and prognosis of pneumococcal meningitis(PM),and drug sensitivity of Streptococcus pneumoniae(SP)isolates in Chinese children.Methods A retrospective analysis was conducted on clinical information,laboratory data,and microbiological data of 160 hospitalized children under 15 years old with PM from January 2019 to December 2020 in 33 tertiary hospitals across the country.Results Among the 160 children with PM,there were 103 males and 57 females.The age ranged from 15 days to 15 years,with 109 cases(68.1% )aged 3 months to under 3 years.SP strains were isolated from 95 cases(59.4% )in cerebrospinal fluid cultures and from 57 cases(35.6% )in blood cultures.The positive rates of SP detection by cerebrospinal fluid metagenomic next-generation sequencing and cerebrospinal fluid SP antigen testing were 40% (35/87)and 27% (21/78),respectively.Fifty-five cases(34.4% )had one or more risk factors for purulent meningitis,113 cases(70.6% )had one or more extra-cranial infectious foci,and 18 cases(11.3% )had underlying diseases.The most common clinical symptoms were fever(147 cases,91.9% ),followed by lethargy(98 cases,61.3% )and vomiting(61 cases,38.1% ).Sixty-nine cases(43.1% )experienced intracranial complications during hospitalization,with subdural effusion and/or empyema being the most common complication[43 cases(26.9% )],followed by hydrocephalus in 24 cases(15.0% ),brain abscess in 23 cases(14.4% ),and cerebral hemorrhage in 8 cases(5.0% ).Subdural effusion and/or empyema and hydrocephalus mainly occurred in children under 1 year old,with rates of 91% (39/43)and 83% (20/24),respectively.SP strains exhibited complete sensitivity to vancomycin(100% ,75/75),linezolid(100% ,56/56),and meropenem(100% ,6/6).High sensitivity rates were also observed for levofloxacin(81% ,22/27),moxifloxacin(82% ,14/17),rifampicin(96% ,25/26),and chloramphenicol(91% ,21/23).However,low sensitivity rates were found for penicillin(16% ,11/68)and clindamycin(6% ,1/17),and SP strains were completely resistant to erythromycin(100% ,31/31).The rates of discharge with cure and improvement were 22.5% (36/160)and 66.2% (106/160),respectively,while 18 cases(11.3% )had adverse outcomes.Conclusions Pediatric PM is more common in children aged 3 months to under 3 years.Intracranial complications are more frequently observed in children under 1 year old.Fever is the most common clinical manifestation of PM,and subdural effusion/emphysema and hydrocephalus are the most frequent complications.Non-culture detection methods for cerebrospinal fluid can improve pathogen detection rates.Adverse outcomes can be noted in more than 10% of PM cases.SP strains are high sensitivity to vancomycin,linezolid,meropenem,levofloxacin,moxifloxacin,rifampicin,and chloramphenicol.[Chinese Journal of Contemporary Pediatrics,2024,26(2):131-138]
9.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
10.Changing distribution and resistance profiles of common pathogens isolated from urine in the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yanming LI ; Mingxiang ZOU ; Wen'en LIU ; 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 ; Yunsong YU ; Jie LIN ; 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 ; 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
Chinese Journal of Infection and Chemotherapy 2024;24(3):287-299
Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8%(62 219/261 893),and gram-negative bacteria 76.2%(199 674/261 893).The most common species were E.coli(46.7%),E.faecium(10.4%),K.pneumoniae(9.8%),E.faecalis(8.7%),P.mirabilis(3.5%),P.aeruginosa(3.4%),SS.agalactiae(2.6%),and E.cloacae(2.1%).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2%,52.8%and 37.0%,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7%,18.5%,16.4%,and 40.3%,respectively.Lower than 10%of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90%of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was<2%.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.

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