1.WANG Jihong's experience in treatment of post-stroke hypermyotonia with "trinity" approach of Lai's tongyuan therapy.
Zhikai HUANG ; Qi PAN ; Aining LI ; Jihong WANG ; Yulian WANG ; Jialu HOU
Chinese Acupuncture & Moxibustion 2025;45(8):1134-1140
This article introduces the clinical experience of Professor WANG Jihong in treatment of post-stroke hypermyotonia with Lai's tongyuan therapy (therapy for removing obstruction and consolidating vital essence). Regarding the pathogenesis of this disease, Professor WANG Jihong emphasizes a "trinity" approach, "the mind disturbed, qi and blood unbalanced, and yuan (vital essence) not consolidated". In treatment, "the unblocking, conducting and nourishing are taken as the fundamental" to "prevent from over-dredging, balancing yin and yang, and avoiding over-replenishing". In clinical practice, the combined measure is adopted with acupuncture, tuina and herbal medicine. In acupuncture, the acupoints are selected according to the front-back combination of the points of the conception vessel and the governor vessel (basic prescription: Yintang [GV24+], Baihui [GV20] and Niesanzhen; prescription for promoting the governor vessel: Dazhui (GV14), Jinsuo [GV8], Xinshu [BL15], Pishu [BL20] and etc.; and the prescription for consolidating the vital essence: Danzhong (CV17), Zhongwan [CV12], Tianshu [ST25], Qihai [CV6]) and etc., as well as those on the four limbs for "opening, closing and pivoting of yin and yang" (on the upper limbs of the affected side: Jiquan [HT1], Jianyu [LI15], Quchi [LI11], Quze [PC3] and etc.; on the lower limbs of the affected side: Huantiao [GB30], Liangqiu [ST34], Xuehai [SP10], Yanglingquan [GB34]) and etc. The above points co-act on regulating the conception vessel and the governor vessel, and balancing yin and yang. Tuina is delivered on the governor vessel, the bladder meridian of foot-taiyang and wind points on the area between the head and nape, so as to promote the governor vessel, benefit the orifices, strengthen the spine and relax tendons. Herbal medicine works on nourishing the liver to soften tendons, nourishing blood to remove wind, regulating qi to replenish the spleen, consolidating the root to cultivate the vital essence, activating blood circulation to unblock meridians, and removing stasis to resolve phlegm. Tongyuan therapy provides a certain instruction in treatment of post-stroke hypermyotonia.
Humans
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Acupuncture Therapy
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Acupuncture Points
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Stroke/complications*
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Male
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Female
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Middle Aged
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Aged
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Drugs, Chinese Herbal
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Adult
3.A multi-constraint representation learning model for identification of ovarian cancer with missing laboratory indicators.
Zihan LU ; Fangjun HUANG ; Guangyao CAI ; Jihong LIU ; Xin ZHEN
Journal of Southern Medical University 2025;45(1):170-178
OBJECTIVES:
To evaluate the performance of a multi-constraint representation learning classification model for identifying ovarian cancer with missing laboratory indicators.
METHODS:
Tabular data with missing laboratory indicators were collected from 393 patients with ovarian cancer and 1951 control patients. The missing ovarian cancer laboratory indicator features were projected to the latent space to obtain a classification model using the representational learning classification model based on discriminative learning and mutual information coupled with feature projection significance score consistency and missing location estimation. The proposed constraint term was ablated experimentally to assess the feasibility and validity of the constraint term by accuracy, area under the ROC curve (AUC), sensitivity, and specificity. Cross-validation methods and accuracy, AUC, sensitivity and specificity were also used to evaluate the discriminative performance of this classification model in comparison with other interpolation methods for processing of the missing data.
RESULTS:
The results of the ablation experiments showed good compatibility among the constraints, and each constraint had good robustness. The cross-validation experiment showed that for identification of ovarian cancer with missing laboratory indicators, the AUC, accuracy, sensitivity and specificity of the proposed multi-constraints representation-based learning classification model was 0.915, 0.888, 0.774, and 0.910, respectively, and its AUC and sensitivity were superior to those of other interpolation methods.
CONCLUSIONS
The proposed model has excellent discriminatory ability with better performance than other missing data interpolation methods for identification of ovarian cancer with missing laboratory indicators.
Female
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Humans
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Ovarian Neoplasms/diagnosis*
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Machine Learning
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ROC Curve
4.Expert consensus on imaging diagnosis and analysis of early correction of childhood malocclusion.
Zitong LIN ; Chenchen ZHOU ; Ziyang HU ; Zuyan ZHANG ; Yong CHENG ; Bing FANG ; Hong HE ; Hu WANG ; Gang LI ; Jun GUO ; Weihua GUO ; Xiaobing LI ; Guangning ZHENG ; Zhimin LI ; Donglin ZENG ; Yan LIU ; Yuehua LIU ; Min HU ; Lunguo XIA ; Jihong ZHAO ; Yaling SONG ; Huang LI ; Jun JI ; Jinlin SONG ; Lili CHEN ; Tiemei WANG
International Journal of Oral Science 2025;17(1):21-21
Early correction of childhood malocclusion is timely managing morphological, structural, and functional abnormalities at different dentomaxillofacial developmental stages. The selection of appropriate imaging examination and comprehensive radiological diagnosis and analysis play an important role in early correction of childhood malocclusion. This expert consensus is a collaborative effort by multidisciplinary experts in dentistry across the nation based on the current clinical evidence, aiming to provide general guidance on appropriate imaging examination selection, comprehensive and accurate imaging assessment for early orthodontic treatment patients.
Humans
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Malocclusion/diagnostic imaging*
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Child
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Consensus
5.Analysis of β-thalassemia gene testing results in western region of Guangxi Zhuang Autonomous Region
Xuejuan NONG ; Yu HUANG ; Jihong JIA ; Ming LEI ; Guidan XU ; Wujun WEI ; Zhengyi CHANG ; Liqiu XIE ; Juhua LIANG ; Chunfang WANG
Chinese Journal of Endemiology 2024;43(2):104-112
Objective:To analyze the positive detection rate, main genotypes of β-thalassemia in western region of Guangxi Zhuang Autonomous Region (referred to as Guangxi).Methods:Retrospective analysis of 26 189 individuals who underwent gene testing for thalassemia at the Affiliated Hospital of Youjiang Medical University for Nationalities from January 2013 to December 2019. Using the crossing breakpoint PCR (Gap-PCR) and reverse dot blot (RDB) techniques to detect Chinese common type of 7 kinds of α-thalassemia and 17 kinds of β-thalassemia genotypes, high-throughput sequencing(Sanger) was performed for suspected rare β-thalassemia. Gap-PCR was used for suspected deletion β-thalassemia types.Results:β-thalassemia was diagnosed in 4 495 (17.16%) of 26 189 samples. A total of 6 177 alleles of 20 types of β-thalassemia were detected, mainly CD17 (2 712 cases, 43.90%) and CD41-42 (2 240 cases, 36.26%), including 7 rare alleles: Gγ +( Aγδβ) 0, SEA-HPFH, Hb New York, Hb G-Taipei, Hb Hezhou, Hb G-Coushatta and IVS-Ⅱ-81. There were 3 903 case (86.83%) heterozygous, 273 case (6.07%) double heterozygous, and 319 case (7.10%) homozygous among 4 495 β-thalassaemia subjects. A total of 48 genotypes were detected. The two most common genotypes were CD17/β N (1 890 cases, 42.05%) and CD41-42/β N (1 212 cases, 26.96%), accounted for 69.01% (3 102/4 495). Seven rare genotypes were detected: Gγ +( Aγδβ) 0/β N in 3 cases, Hb New York/β N in 3 cases, Hb G-Taipei/β N in 2 cases, SEA-HPFH/β N, Hb Hezhou/β N, Hb G-Coushatta/β N and IVS-Ⅱ-81/β N in 1 case each. A total of 1 041 cases (3.97%, 1 041/26 189) of 116 types of αβ-thalassemia were detected, mainly -- SEA/αα composite CD17/β N (144 cases, 13.83%), followed by -α 3.7/αα composite CD17/β N (112 cases, 10.76%). Conclusions:Western region of Guangxi is a high prevalence area of β-thalassemia, CD17/β N and CD41-42/β N are the main genotypes. The variation spectrum of β-thalassemia is complex and diverse, with rich genotype.
6.Mechanistic study of tripterygium glycosides in the treatment of ulcerative colitis through the Nur77-Traf2-P62 signaling pathway
Jihong ZHONG ; Yongpan LIU ; Dandan CHEN ; Qiuwei HUANG ; Xinrui ZHANG ; Qinke XU ; Lu YE
China Modern Doctor 2024;62(11):58-62
Objective To investigated the effect of tripterygium glycosides(TG)on dextran sodium sulfate(DSS)-induced colonic mucosal damage in ulcerative colitis(UC)mice and its regulatory mechanism.Methods Forty C57BL/6J mice were randomly divided into a normal group,a model group,and a tretinoin low,medium,and high dose group(administered at concentrations of 9.00mg/kg,27.03mg/kg,and 81.09mg/kg,respectively).The mice in the normal group were free to drink distilled water,and the rest of the mice drank 5%DSS to induce UC modeling.After modeling,mice in the model group were given 0.4ml of saline by gavage daily,and the rest of the mice in the treatment group were given the corresponding dose of TG for gavage intervention.The mass and disease activity index of the mice in each group were compared,and the pathological and histological damage of the colon was observed.Tumor necrosis factor-α(TNF-α),malondialdehyde(MDA),and superoxide dismutase(SOD)levels were measured using the corresponding kits.Western blot Detection of Nur77,tumor necrosis factor receptor-associated factor 2(Traf2),nucleoporin 62(P62),autophagy protein-microtubule associated protein1 light chain 3(LC3)molecular expression.Results Compared with the blank group,the body weight,colon length,SOD,Nur77,Traf2,and LC3Ⅱ/LC3Ⅰ levels of mice in the model group were significantly decreased(P<0.05),and the DAI level,colon pathology score,TNF-α,MDA level,and P62 of the mice were significantly increased(P<0.05).Compared with mice in the UC model group,mice in the low,medium and high dose groups of tretinoin polyphenols showed significant increases in body weight,colon length,SOD,Nur77,Traf2,LC3Ⅱ/LC3Ⅰlevels(P<0.05),and mice with DAI scores,TNF-α,MDA levels in the colon,and P62 levels were significantly decreased(P<0.05).Mice in the medium and high dose groups of tretinoin polyphenols pathological scores were significantly reduced(P<0.05).Conclusion TG is able to treat ulcerative colitis through Nur77-Traf2-P62 signaling pathway.
7.Analysis and evaluation of hepatitis B test results of blood nucleic acid testing under different screening modes
Yiqin HU ; Jihong HUANG ; Min WANG ; Fangjun FENG ; Jinhui LIU ; Jie DONG
Chinese Journal of Blood Transfusion 2024;37(9):1030-1035
【Objective】 To evaluate the effectiveness of Roche Cobas s 201 in detecting HBV by analyzing its blood nucleic acid testing (NAT) results. 【Methods】 The results were grouped according to the enzyme-linked immunosorbent assay (ELISA) and NAT minipool test (MP), NAT individual test (ID) and repeated NAT ID test (rID), and categorized into 4 groups as ELISA+ /NAT(ID)+ , ELISA+ /NAT(rID)+ , ELISA-/NAT(ID)+ and ELISA-/NAT(rID)+ . The data were statistically analyzed to explore whether there was a difference in the detection of reactive results by repeated NAT, and the correlation between cycle threshold (Ct) and nucleic acid detection rate for NAT-reactive samples with different ELISA results. The true infection status of blood donors was further analyzed by supplementary tests, including NAT systems and chemiluminescence serological marker assays using other methodologies. 【Results】 A total of 1 691 groups of 766 293 blood donor samples were HBV NAT(MP)+ , of which 1 418 groups(83.86%) were detected with reactive results (1 418 HBV NAT+ , 7 090 NAT-), and there were still 273 groups (16.14%) that remained undetected after repeated testing[a total of 1 638 NAT-, Ct(MP): 39.49±3.62]. Of the HBV NAT+ , 881(62.13%) were ELISA+ /NAT(ID)+ , 19(1.34%) were ELISA+ /NAT(rID)+ , 451(31.81%) were ELISA-/NAT(ID)+ , and 67(4.72%) were ELISA-/NAT(rID)+ . For samples with different ELISA results, difference was found in the detection of HBV by repeated NAT (P<0.05). There was no difference in Ct(ID) values between groups ELISA+ /NAT(rID)+ and ELISA-/ NAT(ID)+ , and groups ELISA+ /NAT(rID)+ and ELISA-/ NAT(rID)+ (P>0.05), but there were significant differences between other groups compared pairwise (P<0.05). Supplementary tests were performed on 228 ELISA-/ NAT(MP)+ (ID)- samples, 56 (24.56%) were reactive by chemiluminescent detection of HBsAg+ and 7 (3.07%) by other NAT systems. Among the remaining 221 NAT- samples/donors (96.93%), 53 (23.98%) HBsAg+ donors were likely to have chronic infection, 40 (18.10%) anti-HBe+ and/or anti-HBc+ donors might have previous infections, and the remaining 128 (57.92%) donors who were non-reactive were NAT (MP) pseudo-reactive, with significant differences in anti-HBs levels \'between groups (P<0.05). 【Conclusion】 Repeated NAT has differential detection of donor samples with different reactivity categories or different serologic results, especially within a certain interval, and repeated NAT for ELISA- samples can significantly improve the detection rate. Ct values can assist in assessing the stability and accuracy of the NAT system. For ELISA-/NAT(MP)+ (ID)- donors, the combination of other highly sensitive assays can reduce the risk of viral residuals and safeguard clinical blood safety.
8.Advances in the mechanism of arteriovenous endovascular fistula dysfunction
Wentong HUANG ; Xiaolu SUI ; Tingfei XIE ; Yunpeng XU ; Yanzi ZHANG ; Aisha ZHANG ; Jiahui CHEN ; Xiaoling ZHONG ; Jihong CHEN
Journal of Chinese Physician 2024;26(6):958-960
The stenosis and embolization of internal fistula vessels directly affect the clinical treatment effect of maintenance hemodialysis patients, and the study of the mechanism of internal fistula stenosis has become a research hotspot in recent years. Previous studies mainly focused on the hemodynamics and pathophysiology of blood vessel wall, and there were few studies on molecular biology and its related signaling pathways. This paper reviews the hemodynamics of the vascular pathway of internal arteriovenous fistula (AVF), the pathophysiological mechanism, molecular biology, and changes in various signaling pathways of AVF dysfunction at home and abroad, in order to provide references for the study of AVF dysfunction.
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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