1.Analysis of Medication Patterns for Ancient Epidemic Treatment Based on Data Mining
Peipei JIN ; Tongxing WANG ; Liping CHANG ; Bin HOU ; Ningxin HAN ; Xiaoqi WANG ; Zhenhua JIA
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):287-294
ObjectiveExploring the formula rules of commonly used traditional Chinese medicines(TCMs) for epidemic treatment from the Qin and Han dynasties to the Qing dynasty through data mining, providing reference for the prevention and control of contemporary epidemics. MethodsThe articles on epidemic treatment in the electronic database of Chinese Medical Code V5.0 were systematically searched, and the contents such as source, dynasty, author, diagnosis, formula name, therapeutic method and efficacy, and composition of medicines from each article that met the inclusion criteria were extracted. Then, an Excel standardized database was established, and Python programs were used for data mining to summarize the frequency of commonly used medicines and perform hierarchical cluster analysis, Pearson correlation analysis, and association rule analysis. ResultsA total of 1 595 formulas were included, involving 558 TCMs. The efficacy of these medicines could be classified into two categories, namely, expeling pathogenic factors and reinforcing healthy Qi. According to the frequency deconstruction analysis, high-frequency medicines were mainly detoxification, Fu-organ dredging, aromatization and promoting blood circulation, followed by the medicines with the effect of treating the lungs, such as clearing the lungs and resolving phlegm, clearing heat and purging the lungs, relieving cough and asthma, and purging the lungs and relieving asthma. And the proportions of acrid-warm herbs and acrid-cold herbs varied in different periods. Hierarchical clustering and correlation analysis both suggested TCMs for expeling pathogenic factors and reinforcing healthy Qi often formed stable combinations with high association degrees. Association rule analysis showed that the core acrid-warm herb was mainly Ephedrae Herba, and the core acrid-cold herb was mainly Forsythiae Fructus, resulting in the core formulas of Maxing Shigantang and Yinqiaosan. ConclusionThroughout history, the prevention and control of epidemics have been based on the principle of "preserving healthy Qi and avoiding toxic Qi", focusing on the treatment of the causes and characteristics of epidemics through detoxification, Fu-organ dredging, and aromatization, emphasizing the use of Rhei Radix et Rhizoma and other herbs to dredge Fu-organ, eliminate toxins and pathogens, and playing the role of actively intervene with symptomatic medication. And based on the external manifestations of the body's struggle between evil and righteousness, diagnose and treatment according to syndrome differentiation was performed.
2.Analysis of Medication Patterns for Ancient Epidemic Treatment Based on Data Mining
Peipei JIN ; Tongxing WANG ; Liping CHANG ; Bin HOU ; Ningxin HAN ; Xiaoqi WANG ; Zhenhua JIA
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):287-294
ObjectiveExploring the formula rules of commonly used traditional Chinese medicines(TCMs) for epidemic treatment from the Qin and Han dynasties to the Qing dynasty through data mining, providing reference for the prevention and control of contemporary epidemics. MethodsThe articles on epidemic treatment in the electronic database of Chinese Medical Code V5.0 were systematically searched, and the contents such as source, dynasty, author, diagnosis, formula name, therapeutic method and efficacy, and composition of medicines from each article that met the inclusion criteria were extracted. Then, an Excel standardized database was established, and Python programs were used for data mining to summarize the frequency of commonly used medicines and perform hierarchical cluster analysis, Pearson correlation analysis, and association rule analysis. ResultsA total of 1 595 formulas were included, involving 558 TCMs. The efficacy of these medicines could be classified into two categories, namely, expeling pathogenic factors and reinforcing healthy Qi. According to the frequency deconstruction analysis, high-frequency medicines were mainly detoxification, Fu-organ dredging, aromatization and promoting blood circulation, followed by the medicines with the effect of treating the lungs, such as clearing the lungs and resolving phlegm, clearing heat and purging the lungs, relieving cough and asthma, and purging the lungs and relieving asthma. And the proportions of acrid-warm herbs and acrid-cold herbs varied in different periods. Hierarchical clustering and correlation analysis both suggested TCMs for expeling pathogenic factors and reinforcing healthy Qi often formed stable combinations with high association degrees. Association rule analysis showed that the core acrid-warm herb was mainly Ephedrae Herba, and the core acrid-cold herb was mainly Forsythiae Fructus, resulting in the core formulas of Maxing Shigantang and Yinqiaosan. ConclusionThroughout history, the prevention and control of epidemics have been based on the principle of "preserving healthy Qi and avoiding toxic Qi", focusing on the treatment of the causes and characteristics of epidemics through detoxification, Fu-organ dredging, and aromatization, emphasizing the use of Rhei Radix et Rhizoma and other herbs to dredge Fu-organ, eliminate toxins and pathogens, and playing the role of actively intervene with symptomatic medication. And based on the external manifestations of the body's struggle between evil and righteousness, diagnose and treatment according to syndrome differentiation was performed.
3.Construction and effectiveness evaluation of a closed-loop management system for dispensed oral drugs in the inpatient pharmacy based on SWOT analysis
Jia WANG ; Weihong GE ; Ruijuan XU ; Shanshan QIAN ; Xuemin SONG ; Xiangling SHENG ; Bin WU ; Li LI
China Pharmacy 2025;36(4):401-406
OBJECTIVE To improve the efficiency and quality of dispensed oral drug management in the inpatient pharmacy, and ensure the safety of drug use in patients. METHODS SWOT (strength, weakness, opportunity, threat) analysis method was used to analyze the internal strengths and weaknesses, as well as the external opportunities and threats in the construction of a closed-loop management system for dispensed oral drugs in the inpatient pharmacy of our hospital, and propose improvement strategies. RESULTS & CONCLUSIONS A refined, full-process, closed-loop traceability management system for dispensed oral drugs in the inpatient pharmacies was successfully established, which is traceable in origin, trackable in destination, and accountable in responsibility. After the application of this system, the registration rate of dispensed drug information and the correctness rate of registration content both reached 100%. The proportion of overdue drug varieties in the same period of 2024 decreased by 77.78% compared to March 2020, the inventory volume decreased by 29.50% compared to the first quarter of 2020, the per-bed medication volume decreased by 32.14% compared to the first quarter of 2020; the average workload per post in the same period of 2023 increased by 49.09% compared to 2019, the dispensing accuracy rate reached 100%, and the improvement rate of quality control problem increased by 25.25% compared to 2021. This system effectively improves the safety and accuracy of dispensed oral drug management in the inpatient pharmacy.
4.Changes in the body shape and ergonomic compatibility for functional dimensions of desks and chairs for students in Harbin during 2010-2024
Chinese Journal of School Health 2025;46(3):315-320
Objective:
To analyze the change trends in the body shape indicators and proportions of students in Harbin from 2010 to 2024, and to investigate ergonomic compatibility of functional dimensions of school desks and chairs with current student shape indicators, so as to provide a reference for revising furniture standards of desks and chairs.
Methods:
Between September and November of both 2010 and 2024, a combination of convenience sampling and stratified cluster random sampling was conducted across three districts in Harbin, yielding samples of 6 590 and 6 252 students, respectively. Anthropometric shape indicators cluding height, sitting height, crus length, and thigh length-and their proportional changes were compared over the 15-year period. The 2024 data were compared with current standard functional dimensions of school furniture. The statistical analysis incorporated t-test and Mann-Whitney U- test.
Results:
From 2010 to 2024, average height increased by 1.8 cm for boys and 1.5 cm for girls; sitting height increased by 1.5 cm for both genders; crus length increased by 0.3 cm for boys and 0.4 cm for girls; and thigh length increased by 0.5 cm for both genders. The ratios of sitting height to height, and sitting height to leg length increased by less than 0.1 . The difference between desk chair height and 1/3 sitting height ranged from 0.4-0.8 cm. Among students matched with size 0 desks and chairs, 22.0% had a desk to chair height difference less than 0, indicating that the desk to chair height difference might be insufficient for taller students. The differences between seat height and fibular height ranged from -1.4 to 1.1 cm; and the differences between seat depth and buttock popliteal length ranged from -9.8 to 3.4 cm. Among obese students, the differences between seat width and 1/2 hip circumference ranged from -20.5 to -8.7 cm, while it ranged from -12.2 to -3.8 cm among non obese students.
Conclusion
Current furniture standards basically satisfy hygienic requirements; however, in the case of exceptionally tall and obese students, ergonomic accommodations such as adaptive seating allocation or personalized adjustments are recommended to meet hygienic requirements.
5.Improvement effects and mechanism of total secondary ginsenosides on hypertrophic changes in cardiomyocytes
Bin LI ; Jia LI ; Zhongjie YUAN ; Mingjun ZHU ; Shiyang XIE ; Yuan GAO ; Rui YU ; Xinlu WANG
China Pharmacy 2025;36(12):1430-1435
OBJECTIVE To investigate the ameliorative effects and potential mechanism of total secondary ginsenosides (TSG) on hypertrophic changes of primary cardiomyocytes stimulated by angiotensin Ⅱ (Ang Ⅱ). METHODS Primary cardiomyocytes were isolated from the hearts of neonatal SD rats and divided into the following groups: control group, AngⅡ group (2 µmol/L), TSG group (7.5 µg/mL), PFK-015 group [6-phosphofructo-2-kinase/fructose-2, 6-bisphosphatase 3 (PFKFB3) inhibitor, 10 nmol/L], and TSG+PFK-015 group (TSG 7.5 µg/mL+PFK-015 10 nmol/L). The surface area, protein synthesis, energy metabolism-related indicators [free fatty acid (FFA), coenzyme A (CoA), acetyl coenzyme A (acetyl-CoA)], and the expressions of glycolysis-related factors [hypoxia-inducible factor 1α (HIF-1α), glucose transporter protein 4 (GLUT-4), lactate dehydrogenase A (LDHA), pyruvate dehydrogenase kinase 1 (PDK1) and PFKFB3] in primary cardiomyocytes of each group were measured. RESULTS Compared with the control group, the surface area of primary cardiomyocytes and protein synthesis were significantly increased, the content of FFA, protein and mRNA expressions of HIF-1α, LDHA, PDK1 and PFKFB3 were significantly increased or up-regulated in the AngⅡ group, while the contents of CoA and acetyl-CoA, the protein and mRNA expressions of GLUT-4 were significantly decreased or down-regulated (P<0.05). Compared with the AngⅡ group, both TSG group and PFK-015 group showed significant improvements in these indexes, with the TSG+PFK-015 group generally demonstrating superior effects compared to either treatment alone (P<0.05). CONCLUSIONS TSG can reduce the surface area of AngⅡ-induced primary cardiomyocytes, decrease protein synthesis, and inhibit their hypertrophic changes. These effects may be related to improving energy metabolism and the inhibition of glycolysis activity.
6.Association between the triglyceride to high-density lipoprotein cholesterol ratio and cardiovascular diseases in people living with human immunodeficiency virus: Evidence from a retrospectively cohort study 2005-2022
Liqin SUN ; Yinsong LUO ; Xinyun JIA ; Hui WANG ; Fang ZHAO ; Lukun ZHANG ; Bin JU ; Haiyan WANG ; Duo SHAN ; Yun HE ; Hongzhou LU ; Jiaye LIU
Chinese Medical Journal 2024;137(22):2712-2719
Introduction::The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, a novel biomarker for metabolic syndrome (MetS), has been validated in the general population as being significantly correlated with cardiovascular disease (CVD) risk. However, its capabilities to predict CVD in people living with human immunodeficiency virus (HIV; PLWH) remain underexplored.Methods::We conducted a retrospective cohort study of 16,081 PLWH who initiated antiretroviral therapy (ART) at the Third People’s Hospital of Shenzhen (China) from 2005 to 2022. The baseline TG/HDL-C ratio was calculated as TG (mmol/L) divided by HDL-C (mmol/L). We employed a multivariate Cox proportional hazards model to assess the association between the TG/HDL-C ratio and CVD occurrence, using Kaplan-Meier curves and log-rank tests to compare survival distributions. The increase in prediction risk upon the addition of the biomarker to the conventional risk model was examined through the assessment of changes in net reclassification improvement (NRI) and integrated discrimination improvement (IDI). Nonlinear relationships were investigated using a restricted cubic spline plot, complemented by a two-piecewise Cox proportional hazards model to analyze threshold effects.Results::At the median follow-up of 70 months, 213 PLWH developed CVD. Kaplan-Meier curves demonstrated a significant association between the increased risk of CVD and a higher TG/HDL-C ratio (log-rank P <0.001). The multivariate-adjusted Cox proportional hazards regression model indicated that the CVD hazard ratios (HR) (95% confidence intervals [95% CIs]) for Q2, Q3, and Q4 versus Q1 of the TG/HDL-C ratio were 2.07 (1.24, 3.45), 2.17 (1.32, 3.57), and 2.20 (1.35, 3.58), respectively ( P <0.05). The consideration of the TG/HDL-C ratio in the model, which included all significant factors for CVD incidence, improved the predictive risk, as indicated by the reclassification metrics (NRI 16.43%, 95% CI 3.35%-29.52%, P = 0.014). The restriction cubic spline plot demonstrated an upward trend between the TG/HDL-C ratio and the CVD occurrence ( P for nonlinear association = 0.027, P for overall significance = 0.009), with the threshold at 1.013. Significantly positive correlations between the TG/HDL-C ratio and CVD were observed below the TG/HDL-C ratio threshold with HR 5.88 (95% CI 1.58-21.88, P = 0.008), but not above the threshold with HR 1.01 (95% CI 0.88-1.15, P = 0.880). Conclusion::Our study confirms the effectiveness of the TG/HDL-C ratio as a predictor of CVD risk in PLWH, which demonstrates a significant nonlinear association. These findings indicate the potential of the TG/HDL-C ratio in facilitating early prevention and treatment strategies for CVD among PLWH.
7.The regulatory role of FoxO3a in mitochondrial function and its mechanisms
Jie LI ; Li ZHANG ; Xiao-Han WANG ; Jia-Bin GUO
Chinese Pharmacological Bulletin 2024;40(5):806-810
Fork head box O3a(FoxO3a)is a member of the O subtype family of FOX transcription factors,which plays an im-portant role as a transcriptional regulator in the occurrence and development of many diseases.Mitochondria are the major sites of cellular energy metabolism and the key organelles for cell growth and function.Mitochondrial function is regulated by man-y transcription factors.FoxO3a localizes in mitochondria and has important effects on mitochondrial function by regulating the in-teraction between the nucleus and mitochondria.Its mechanism is closely related to the regulation of mitochondrial energy metab-olism,biogenesis,autophagy,fission/fusion,and mitochondrial calcium homeostasis.This review focuses on the biological func-tions of FoxO3a and its regulation and mechanism of mitochon-drial function.
8.Research progress of PPAR-γ regulating brain cholesterol metabolism to clear β-amyloid protein to improve Alzheimer's disease
Xue-Qing DUAN ; Shao-Feng WANG ; Xian-Yu CHEN ; Yan-Wei HAO ; Jia-Xin LI ; Li LI ; Shi-Jun XU ; Bin LI
Chinese Pharmacological Bulletin 2024;40(11):2005-2009
Peroxisome proliferator-activated receptor gamma(PPAR-γ)is a member of the ligand-activated nuclear tran-scription factor superfamily.Activated PPAR-γ is involved in the regulation of many central nervous system(CNS)events,and is involved in cholesterol metabolism by inducing or inhibi-ting a series of gene pathways,thereby inhibiting the deposition of β-amyloid protein(Aβ).It plays an important neuroprotec-tive role in Alzheimer's disease(AD),improves memory and cognition in AD,and is a potential target for AD.Drug develop-ment aimed at restoring cholesterol homeostasis may be a poten-tial strategy to counteract AD.By analyzing the distribution and structure of PPAR-γ,focusing on the biological correlation be-tween PPAR-γ-mediated cholesterol metabolism and AD,this paper describes the mechanism regulation of PPAR-γ on key proteins,genes and their corresponding molecules,providing a new reference for the treatment of AD.
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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