1.Role and mechanism of platelet-derived growth factor BB in repair of growth plate injury
Hongcheng PENG ; Guoxuan PENG ; Anyi LEI ; Yuan LIN ; Hong SUN ; Xu NING ; Xianwen SHANG ; Jin DENG ; Mingzhi HUANG
Chinese Journal of Tissue Engineering Research 2025;29(7):1497-1503
BACKGROUND:In the initial stage of growth plate injury inflammation,platelet-derived growth factor BB promotes the repair of growth plate injury by promoting mesenchymal progenitor cell infiltration,chondrogenesis,osteogenic response,and regulating bone remodeling. OBJECTIVE:To elucidate the action mechanism of platelet-derived growth factor BB after growth plate injury. METHODS:PubMed,VIP,WanFang,and CNKI databases were used as the literature sources.The search terms were"growth plate injury,bone bridge,platelet-derived growth factor BB,repair"in English and Chinese.Finally,66 articles were screened for this review. RESULTS AND CONCLUSION:Growth plate injury experienced early inflammation,vascular reconstruction,fibroossification,structural remodeling and other pathological processes,accompanied by the crosstalk of chondrocytes,vascular endothelial cells,stem cells,osteoblasts,osteoclasts and other cells.Platelet-derived growth factor BB,as an important factor in the early inflammatory response of injury,regulates the injury repair process by mediating a variety of cellular inflammatory responses.Targeting the inflammatory stimulation mediated by platelet-derived growth factor BB may delay the bone bridge formation process by improving the functional activities of osteoclasts,osteoblasts,and chondrocytes,so as to achieve the injury repair of growth plate.Platelet-derived growth factor BB plays an important role in angiogenesis and bone repair tissue formation at the injured site of growth plate and intrachondral bone lengthening function of uninjured growth plate.Inhibition of the coupling effect between angiogenesis initiated by platelet-derived growth factor BB and intrachondral bone formation may achieve the repair of growth plate injury.
2.History, Experience, Opportunities, and Challenges in Esophageal Cancer Prevention and Treatment in Linxian, Henan Province, A High Incidence Area for Esophageal Cancer
Lidong WANG ; Xiaoqian ZHANG ; Xin SONG ; Xueke ZHAO ; Duo YOU ; Lingling LEI ; Ruihua XU ; Jin HUANG ; Wenli HAN ; Ran WANG ; Qide BAO ; Aifang JI ; Lei MA ; Shegan GAO
Cancer Research on Prevention and Treatment 2025;52(4):251-255
Linxian County in Henan Province, Northern China is known as the region with the highest incidence and mortality rate of esophageal cancer worldwide. Since 1959, the Henan medical team has conducted field work on esophageal cancer prevention and treatment in Linxian. Through three generations of effort exerted by oncologists over 65 years of research on esophageal cancer prevention and treatment in Linxian, the incidence rate of esophageal squamous cell carcinoma in this area has dropped by nearly 50%, and the 5-year survival rate has increased to 40%, reaching the international leading
3.Analysis of Differential Compounds of Poria cocos Medicinal Materials by Integrated Qualitative Strategy Based on UPLC-Q-Orbitrap-MS
Jiayuan WANG ; Xiaohan FAN ; Xiaoxiao WEI ; Rong CAO ; Jin WANG ; Lei WANG ; Fengqing XU ; Shunwang HUANG ; Deling WU ; Hongsu ZHAO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):148-156
ObjectiveTo establish a rapid analytical method for identifying the differential components in Poria cocos medicinal materials based on ultra performance liquid chromatography-quadrupole-electrostatic field orbital trap high-resolution mass spectrometry(UPLC-Q-Orbitrap-MS), combined with mass defect filtering(MDF) and molecular network integration techniques. MethodsUPLC-Q-Orbitrap-MS was used for MS data acquisition and identification of P. cocos medicinal materials, with the help of MDF for the study of cleavage behavior and structural identification of triterpenoids. According to the similarity of MS/MS fragmentation patterns of each component, global natural product social molecular network(GNPS) was established, and Cytoscape 3.6.1 was used to screen molecular clusters with similar structures and the the structure of main compound classes were identified and confirmed. Multivariate statistical analyses such as principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were used to screen the differential components of the five P. cocos medicinal materials with the variable importance in the projection(VIP) value>1 and P<0.05 as the criteria. ResultsA total of 66 compounds were identified by database comparison, 8 compounds were newly identified by MDF, 28 compounds were newly identified by GNPS, and a total of 102 chemical compounds were identified, including 43 triterpenoids, 16 saccharides, 26 amino acids and peptides, 3 nucleosides, and 14 other compounds. Triterpenoids were predominant in Poriae Cutis and wild Fushen, amino acids and peptides were the most abundant in Poria and cultivated Fushen, carbohydrates were the most abundant in Poriae Cutis. Type Ⅰ and Ⅱ triterpenoids had higher amounts in Poria and cultivated Fushen, type Ⅲ triterpenoids were more abundant in Poriae Cutis, all four types of triterpenoids were higher in Fushenmu, and type Ⅰ, Ⅱ, and Ⅳ triterpenoids were higher in wild Fushen. A total of 12 common differential chemical constituents were screened, including serine, guanosine, gallic acid, 2-octenal, maltotriose, trametenolic acid, dehydroeburicoic acid, dehydrotrametenolic acid, poricoic acid A, poricoic acid B, poricoic acid E and G, but the relative contents of them varied significantly among different medicinal materials. ConclusionAmong the five P. cocos medicinal materials, the types of constituents are generally similar, but their relative contents differed significantly among these medicinal materials, especially in the distribution of triterpenoids. The integration of UPLC-Q-Orbitrap-MS, MDF and GNPS can provide a reference for the rapid qualitative analysis of other Chinese medicines.
4.Analysis of Differential Compounds of Poria cocos Medicinal Materials by Integrated Qualitative Strategy Based on UPLC-Q-Orbitrap-MS
Jiayuan WANG ; Xiaohan FAN ; Xiaoxiao WEI ; Rong CAO ; Jin WANG ; Lei WANG ; Fengqing XU ; Shunwang HUANG ; Deling WU ; Hongsu ZHAO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):148-156
ObjectiveTo establish a rapid analytical method for identifying the differential components in Poria cocos medicinal materials based on ultra performance liquid chromatography-quadrupole-electrostatic field orbital trap high-resolution mass spectrometry(UPLC-Q-Orbitrap-MS), combined with mass defect filtering(MDF) and molecular network integration techniques. MethodsUPLC-Q-Orbitrap-MS was used for MS data acquisition and identification of P. cocos medicinal materials, with the help of MDF for the study of cleavage behavior and structural identification of triterpenoids. According to the similarity of MS/MS fragmentation patterns of each component, global natural product social molecular network(GNPS) was established, and Cytoscape 3.6.1 was used to screen molecular clusters with similar structures and the the structure of main compound classes were identified and confirmed. Multivariate statistical analyses such as principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were used to screen the differential components of the five P. cocos medicinal materials with the variable importance in the projection(VIP) value>1 and P<0.05 as the criteria. ResultsA total of 66 compounds were identified by database comparison, 8 compounds were newly identified by MDF, 28 compounds were newly identified by GNPS, and a total of 102 chemical compounds were identified, including 43 triterpenoids, 16 saccharides, 26 amino acids and peptides, 3 nucleosides, and 14 other compounds. Triterpenoids were predominant in Poriae Cutis and wild Fushen, amino acids and peptides were the most abundant in Poria and cultivated Fushen, carbohydrates were the most abundant in Poriae Cutis. Type Ⅰ and Ⅱ triterpenoids had higher amounts in Poria and cultivated Fushen, type Ⅲ triterpenoids were more abundant in Poriae Cutis, all four types of triterpenoids were higher in Fushenmu, and type Ⅰ, Ⅱ, and Ⅳ triterpenoids were higher in wild Fushen. A total of 12 common differential chemical constituents were screened, including serine, guanosine, gallic acid, 2-octenal, maltotriose, trametenolic acid, dehydroeburicoic acid, dehydrotrametenolic acid, poricoic acid A, poricoic acid B, poricoic acid E and G, but the relative contents of them varied significantly among different medicinal materials. ConclusionAmong the five P. cocos medicinal materials, the types of constituents are generally similar, but their relative contents differed significantly among these medicinal materials, especially in the distribution of triterpenoids. The integration of UPLC-Q-Orbitrap-MS, MDF and GNPS can provide a reference for the rapid qualitative analysis of other Chinese medicines.
5.A preliminary exploration of influenza-like illness surveillance and influenza vaccination in Jing’an District of Shanghai, 2017‒2023
Ruijue HUA ; Lixue LYU ; Biao XU ; Jin HUANG ; Ping YU
Shanghai Journal of Preventive Medicine 2025;37(4):313-318
ObjectiveTo understand the surveillance of influenza-like illness (ILI) and influenza vaccination status in Jing’an District, Shanghai, and to provide a basis for optimizing influenza prevention and control strategies. MethodsThe sentinel surveillance data for ILI and virological surveillance data of influenza viruses in Jing’an District were collected from the Chinese influenza surveillance information system, and data for influenza vaccination were collected from Shanghai immunization information system from September 2017 to August 2023. Epidemiological characteristics of ILI, influenza etiology, and the temporal and population distributions of influenza vaccination were analyzed using descriptive epidemiological methods. ResultsILI as a percentage of total visit surveillance units (ILI%) reported by sentinel hospital was increased in Jing’an District of Shanghai from September 2017 to August 2023 (F=18.841, P=0.012). The peak of the influenza cases mainly appeared in winter-spring, but there were two peaks in winter-spring and summer from September 2019 to August 2020, from September 2020 to August 2021, and from September 2021 to August 2022. In particular, there were two peaks in winter-spring from September 2022 to August 2023, with a rebound during the descending process. The average positive rate of ILI was 21.64% (2 421/11 189) during the 6 years. There was a peak in winter-spring during every year with the exception of the period from September 2020 to August 2021. The dominant strains were B/Yamagata and A/H1N1 in winter-spring from September 2017 to August 2018. The dominant strain was A/H1N1 in winter-spring from September 2018 to August 2019 and from September 2022 to August 2023. The dominant strain was B/Victoria in winter-spring from September 2019 to August 2020 and from September 2021 to August 2022. Different subtype strains occurred alternately, and the dominant strains were A/H1N1 and A/H3N2 in recent years. The influenza vaccination coverage was 2.94% from September 2017 to August 2023, and the vaccination coverage was highest in young children. The vaccination coverage for females was higher than that for males (χ2=546.963, P<0.001), and the vaccination coverage for registered residents was higher compared to that for migrants (χ2=123.141, P<0.001). ConclusionILI% exhibits an upward trend in Jing’an District of Shanghai, and the dominant strain is A subtype. The influenza vaccination coverage is still low, which is insufficient to have an impact on the spread of influenza. It is recommended that the surveillance of ILI and variations of influenza virus strains should be improved continuously, and effective steps should be taken to promote influenza vaccination.
6.Relationship Between Gastroesophageal Reflux Disease-Related Symptoms and Clinicopathologic Characteristics and Long-Term Survival of Patients with Esophageal Adenocarcinoma in China
Kan ZHONG ; Xin SONG ; Ran WANG ; Mengxia WEI ; Xueke ZHAO ; Lei MA ; Quanxiao XU ; Jianwei KU ; Lingling LEI ; Wenli HAN ; Ruihua XU ; Jin HUANG ; Zongmin FAN ; Xuena HAN ; Wei GUO ; Xianzeng WANG ; Fuqiang QIN ; Aili LI ; Hong LUO ; Bei LI ; Lidong WANG
Cancer Research on Prevention and Treatment 2025;52(8):661-665
Objective To investigatethe relationship between gastroesophageal reflux disease (GERD) symptoms and clinicopathological characteristics, p53 expression, and survival of Chinese patients with esophageal adenocarcinoma. Methods A total of
7.Single-cell RNA sequencing reveals the process of CA19-9 production and dynamics of the immune microenvironment between CA19-9 (+) and CA19-9 (-) PDAC
Deyu ZHANG ; Fang CUI ; Kailian ZHENG ; Wanshun LI ; Yue LIU ; Chang WU ; Lisi PENG ; Zhenghui YANG ; Qianqian CHEN ; Chuanchao XIA ; Shiyu LI ; Zhendong JIN ; Xiaojiang XU ; Gang JIN ; Zhaoshen LI ; Haojie HUANG
Chinese Medical Journal 2024;137(20):2415-2428
Background::Pancreatic ductal adenocarcinoma (PDAC) is one of the main types of malignant tumor of the digestive system, and patient prognosis is affected by difficulties in early diagnosis, poor treatment response, and a high postoperative recurrence rate. Carbohydrate antigen 19-9 (CA19-9) has been widely used as a biomarker for the diagnosis and postoperative follow-up of PDAC patients. Nevertheless, the production mechanism and potential role of CA19-9 in PDAC progression have not yet been elucidated.Methods::We performed single-cell RNA sequencing on six samples pathologically diagnosed as PDAC (three CA19-9-positive and three CA19-9-negative PDAC samples) and two paracarcinoma samples. We also downloaded and integrated PDAC samples (each from three CA19-9-positive and CA19-9-negative patients) from an online database. The dynamics of the proportion and potential function of each cell type were verified through immunofluorescence. Moreover, we built an in vitro coculture cellular model to confirm the potential function of CA19-9. Results::Three subtypes of cancer cells with a high ability to produce CA19-9 were identified by the markers TOP2A, AQP5, and MUC5AC. CA19-9 production bypass was discovered on antigen-presenting cancer-associated fibroblasts (apCAFs). Importantly, the proportion of immature ficolin-1 positive (FCN1+) macrophages was high in the CA19-9-negative group, and the proportion of mature M2-like macrophages was high in the CA19-9-positive group. High proportions of these two macrophage subtypes were associated with an unfavourable clinical prognosis. Further experiments indicated that CA19-9 could facilitate the transformation of M0 macrophages into M2 macrophages in the tumor microenvironment. Conclusions::Our study described CA19-9 production at single-cell resolution and the dynamics of the immune atlas in CA19-9-positive and CA19-9-negative PDAC. CA19-9 could promote M2 polarization of macrophage in the pancreatic tumor microenvironment.
8.Current situation and influencing factors of nursing core skills mastery of nursing undergraduates
Ziqiu ZOU ; Xu DONG ; Xiaoyan JIN ; Ming LIU ; Yulu HE ; Miaoxin HUANG ; Shaomei SHANG
Chinese Journal of Modern Nursing 2024;30(2):243-248
Objective:To understand the current situation of nursing undergraduate students ' mastery of core skills and analyze the impact paths of learning environment and self-efficacy on the level of nursing core ability mastery. Methods:Using the convenient sampling method, a total of 431 nursing undergraduates from 6 universities in Macao and Guangdong Province were selected as the research objects from November to December 2022. The self-made general data questionnaire, Nursing Core Skills Mastery Questionnaire and General Self-Efficacy Scale were used to investigate the patients.Results:The total score of core nursing skills for 431 undergraduate nursing students was (3.55±0.59). The learning environment had a positive direct effect on the mastery of core skills ( P<0.05), which could indirectly affect the mastery of core skills through the mediating effects of self-efficacy, personal foundation and planning ( P<0.05) . Conclusions:Application-oriented colleges, progressive practice plans and increasing the proportion of electives are conducive to the improvement of self-efficacy and the mastery of core nursing skills. It is recommended that nursing colleges clarify the direction of talent cultivation based on their own situation, increase the proportion of elective courses and add clinical practice content in the course process, in order to promote the mastery of core nursing skills for nursing undergraduate students.
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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