1. Mechanism of ellagic acid improving cognitive dysfunction in APP/PS double transgenic mice based on PI3K/AKT/GSK-3β signaling pathway
Li-Li ZHONG ; Xin LU ; Ying YU ; Qin-Yan ZHAO ; Jing ZHANG ; Tong-Hui LIU ; Xue-Yan NI ; Li-Li ZHONG ; Yan-Ling CHE ; Dan WU ; Hong LIU
Chinese Pharmacological Bulletin 2024;40(1):90-98
		                        		
		                        			
		                        			 Aim To investigate the effect of ellagic acid (EA) on cognitive function in APP/PS 1 double- transgenic mice, and to explore the regulatory mechanism of ellagic acid on the level of oxidative stress in the hippocampus of double-transgenic mice based on the phosphatidylinositol 3-kinase/protein kinase B/glycogen synthase kinase-3 (PI3K/AKT/GSK-3 β) signaling pathway. Methods Thirty-two SPF-grade 6-month-old APP/PS 1 double transgenic mice were randomly divided into four groups, namely, APP/PS 1 group, APP/PS1 + EA group, APP/PS1 + LY294002 group, APP/PS 1 + EA + LY294002 group, with eight mice in each group, and eight SPF-grade C57BL/6J wild type mice ( Wild type) were selected as the blank control group. The APP/PS 1 + EA group was given 50 mg · kg 
		                        		
		                        		
		                        		
		                        	
2.Correlation of KRAS Gene 3'UTR Polymorphisms with Cervical Cancer and Cervical Intraepithelial Neoplasia in Chinese Han Population in Yunnan Province
Ni GUO ; Cheng ZHANG ; Chao HONG ; Weipeng LIU ; Yufeng YAO ; Zhiling YAN
Journal of Kunming Medical University 2024;45(2):14-22
		                        		
		                        			
		                        			Objective To investigate the correlation between rs712 and rs7973450 located at the 3'UTR region of the KRAS gene and the risk of cervical cancer(CC)and cervical intraepithelial neoplasia(CIN)in Chinese Han population in Yunnan province.Methods A total of 2405 individuals(461 subjects with CIN,961 subjects with CC and 983 healthy controls)were enrolled.The SNPs were genotyped used TaqMan assay and the correlation of these SNPs with CIN and CC was analyzed.Results The A allele of rs7973450 might be a protective factor for the occurrence of CIN(P = 0.004,OR= 0.651,95%CI 0.487~0.871)and CC(P = 7.00×10-4,OR= 0.667,95%CI 0.529~0.844).There was no significant difference in allelic and genotypic distribution of rs712 among CIN,CC and Control groups(P>0.017).The haplotype assay showed thatrs712A-rs7973450G was associated with increased risk of CIN(P = 4.00×10-4;OR= 1.714,95%CI 1.269~2.314)and CC(P = 3.84×10-5,OR= 1.667,95%CI 1.305~2.131).While haplotype rs712A-rs7973450A was associated with a lower risk of CC(P = 0.012,OR= 0.790,95%CI 0.658~0.950).Conclusion The A allele of rs7973450 in 3'UTR of KRAS gene might be the protective factor for the occurrence of CIN and CC in a Chinese Han population in Yunnan province.
		                        		
		                        		
		                        		
		                        	
3.Current status of maintenance hemodialysis-related infection in 124 medi-cal institutions in Guizhou Province
Yan-Yan WANG ; Zhu-Hong ZHA ; Jing WANG ; Dan LIN ; Ni ZENG ; Guang-Ying LUO ; Ling-Zhu LI
Chinese Journal of Infection Control 2024;23(1):58-65
		                        		
		                        			
		                        			Objective To understand the infection status of patients with maintenance hemodialysis(MHD)in Guizhou Province,and provide basis for the prevention and control of hemodialysis-related infection.Methods MHD patients in hemodialysis centers of 124 secondary and or higher grade medical institutions in Guizhou Province from July to December 2022 were surveyed.Survey content included the general conditions of patients,hemodialysis-related conditions,infection of pathogens of blood-borne diseases,and other infection-related conditions.Results A total of 15 114 MHD patients were surveyed,with age mainly ranging from 36 to<60 years old(55.83%).Hemodialysis history ranged mainly from 1 year to<5 years(59.37%),and the frequency of hemodi-alysis was mainly 3 times per week(73.91%).Autologous arteriovenous fistula(AVF)was the major vascular access for dialysis,with a total of 12 948 cases(85.77%).The main primary disease was chronic renal failure(99.89%).The infection rates of hepatitis B virus(HBV),hepatitis C virus(HCV),human immunodeficiency vi-rus(HIV),and Treponema pallidum in MHD patients were 5.29%,0.64%,0.24%,and 1.70%,respectively.HBV infection rates among MHD patients of different ages,different numbers of dialysis hospitals,and dialysis in-stitutions of different scales showed statistically significant differences(all P<0.05).HCV infection rates among MHD patients of different ages,with different dialysis times and from institutions of different scales were signifi-cantly different(all P<0.05).TP infection rates among MHD patients of different ages and different numbers of dialysis hospitals were all significantly different(all P<0.05).Infection rates of HBV and HCV in MHD patients aged from 36 to 60 years old(not included)were relatively higher(6.10%and 0.84%,respectively).Patients with dialysis time ≥10 years had a higher HCV infection rate(1.64%).Infection rates of HCV,HIV,and TP in pa-tients dialyzed in medical institutions with ≥90 dialysis beds were relatively higher(0.74%,0.28%,and 1.94%,respectively).Medical institutions with<30 dialysis beds had the highest HBV infection rate(18.64%).There were 9 cases(0.06%)of vascular puncture infection,12 cases(0.08%)of bloodstream infection,7 cases(0.05%)of vascular access-related bloodstream infection,and 30 cases(0.20%)of pulmonary infection.Vascular access-re-lated bloodstream infection rate and pulmonary infection rate among MHD patients with different types of vascular access showed statistically significant difference(all P<0.05).Vascular access-related bloodstream infection rate(0.37%)and pulmonary infection rate(1.10%)of patients with non-cuffed catheters vascular access were higher than those of other types.Conclusion MHD patients in Guizhou Province are mainly middle-aged and young peo-ple,with more males than females.The dialysis frequency is mostly 3 times per week,and AVF is the major vascu-lar access.MHD patients are prone to complications such as infections of HBV,HCV,HIV,and TP,as well as bloodstream infection and pulmonary infection.
		                        		
		                        		
		                        		
		                        	
4.Methodology for Developing Patient Guideline (3):Reporting Frameworks and Presentation
Lijiao YAN ; Ning LIANG ; Haili ZHANG ; Nannan SHI ; Ziyu TIAN ; Ruixiang WANG ; Xiaojia NI ; Yufang HAO ; Wei CHEN ; Yingfeng ZHOU ; Dan YANG ; Shuyu YANG ; Yujing ZHANG ; Ziteng HU ; Jianping LIU
Journal of Traditional Chinese Medicine 2024;65(22):2304-2309
		                        		
		                        			
		                        			Standardized reporting is a crucial factor affecting the use of patient guidelines (PGs), particularly in the reporting and presentation of recommendations. This paper introduced the current status of PG reporting, including the research on PG content and presentation formats, and provided comprehensive recommendations for PG reporting from aspects such as overall framework, recommendations, presentation format, and readability. First, the presentation of PG recommendations should include clearly defined clinical questions, recommendations and their rationale, and guidance on how patients should implement the interventions; for specific content in the PG, such as level of evidence, level of recommendation, it is recommended to explain in text the reasons for giving different levels of recommendation, i.e., to present the logic behind giving the level of recommendation to the patient; additional information needed in the recommendation framework should be supplemented by tracing references or authoritative textbooks and literature that support the recommendations. Subsequently, the PG text should be written based on the Reporting Checklist for Public Versions of Guidelines (RIGHT-PVG) reporting framework. Finally, to enhance readability and comprehension, it is recommended to refer to the Patient Education Materials Assessment Tool (PEMAT) for translating PG content. To enhance the readability of PGs, it is suggested to present the PG content in a persona-lized and layered manner. 
		                        		
		                        		
		                        		
		                        	
5.Methodology for Developing Patient Guideline(1):The Concept of Patient Guideline
Lijiao YAN ; Ning LIANG ; Ziyu TIAN ; Nannan SHI ; Sihong YANG ; Yufang HAO ; Wei CHEN ; Xiaojia NI ; Yingfeng ZHOU ; Ruixiang WANG ; Zeyu YU ; Shuyu YANG ; Yujing ZHANG ; Ziteng HU ; Jianping LIU
Journal of Traditional Chinese Medicine 2024;65(20):2086-2091
		                        		
		                        			
		                        			Since the concept of patient versions of guidelines (PVGs) was introduced into China, several PVGs have been published in China, but we found that there is a big difference between the concept of PVG at home and abroad, and the reason for this difference has not been reasonably explained, which has led to ambiguity and even misapplication of the PVG concept by guideline developers. By analyzing the background and purpose of PVGs, and the understanding of the PVG concept by domestic scholars, we proposed the term patient guidelines (PGs). This refers to guidelines developed under the principles of evidence-based medicine, centered on health issues that concern patients, and based on the best available evidence, intended for patient use. Except for the general attribute of providing information or education, which is typical of common health education materials, PGs also provide recommendations and assist in decision-making, so PGs include both the patient versions of guidelines (PVG) as defined by the Guidelines International Network (GIN) and "patient-directed guidelines", i.e. clinical practice guidelines resulting from the adaptation or reformulation of recommendations through clinical practice guidelines. 
		                        		
		                        		
		                        		
		                        	
6.Methodology for Developing Patient Guideline (2):Process and Methodology
Lijiao YAN ; Ning LIANG ; Nannan SHI ; Sihong YANG ; Ziyu TIAN ; Dan YANG ; Xiaojia NI ; Yufang HAO ; Wei CHEN ; Ruixiang WANG ; Yingfeng ZHOU ; Shibing LIANG ; Shuyu YANG ; Yujing ZHANG ; Ziteng HU ; Jianping LIU
Journal of Traditional Chinese Medicine 2024;65(21):2194-2198
		                        		
		                        			
		                        			At present, the process and methodology of patient guidelines (PGs) development varies greatly and lacks systematic and standardised guidance. In addition to the interviews with PG developers, we have sorted out the relevant methodology for the adaptation and development of existing clinical practice guideline recommendations and facilitated expert deliberations to achieve a consensus, so as to finally put forward a proposal for guidance on the process and methodology for the development of PGs. The development of PGs can be divided into the preparation stage, the construction stage, and the completion stage in general, but the specific steps vary according to the different modes of development of PGs. The development process of Model 1 is basically the same as the patient version of the guideline development process provided by the International Guidelines Network, i.e., team formation, screening of recommendations, guideline drafing, user testing and feedback, approval and dissemination. The developer should also first determine the need for and scope of translating the clinical practice guideline into a patient version during the preparation phase. Model 2 adds user experience and feedback to the conventional clinical practice guideline development process (forming a team, determining the scope of the PG, searching, evaluating and integrating evidence, forming recommendations, writing the guideline, and expert review). Based on the different models, we sort out the process and methods of PG development and introduce the specific methods of PG development, including how to identify the clinical problem and how to form recommendations based on the existing clinical practice guidelines, with a view to providing reference for guideline developers and related researchers. 
		                        		
		                        		
		                        		
		                        	
7.Total body water percentage and 3rd space water are novel risk factors for training-related lower extremity muscle injuries in young males
Liang CHEN ; Ke-Xing JIN ; Jing YANG ; Jun-Jie OUYANG ; Han-Gang CHEN ; Si-Ru ZHOU ; Xiao-Qing LUO ; Mi LIU ; Liang KUANG ; Yang-Li XIE ; Yan HU ; Lin CHEN ; Zhen-Hong NI ; Xiao-Lan DU
Chinese Journal of Traumatology 2024;27(3):168-172
		                        		
		                        			
		                        			Purpose::To identify the risk factors for training-related lower extremity muscle injuries in young males by a non-invasive method of body composition analysis.Methods::A total of 282 healthy young male volunteers aged 18 -20 years participated in this cohort study. Injury location, degree, and injury rate were adjusted by a questionnaire based on the overuse injury assessment methods used in epidemiological studies of sports injuries. The occurrence of training injuries is monitored and diagnosed by physicians and treated accordingly. The body composition was measured using the BodyStat QuadScan 4000 multifrequency Bio-impedance system at 5, 50, 100 and 200 kHz to obtain 4 impedance values. The Shapiro-Wilk test was used to check whether the data conformed to a normal distribution. Data of normal distribution were shown as mean ± SD and analyzed by t-test, while those of non-normal distribution were shown as median (Q 1, Q 3) and analyzed by Wilcoxon rank sum test. The receiver operator characteristic curve and logistic regression analysis were performed to investigate risk factors for developing training-related lower extremity injuries and accuracy. Results::Among the 282 subjects, 78 (27.7%) developed training injuries. Lower extremity training injuries revealed the highest incidence, accounting for 23.4% (66 cases). These patients showed higher percentages of lean body mass ( p = 0.001), total body water (TBW, p=0.006), extracellular water ( p=0.020) and intracellular water ( p=0.010) as well as a larger ratio of basal metabolic rate/total weight ( p=0.006), compared with those without lower extremity muscle injuries. On the contrary, the percentage of body fat ( p=0.001) and body fat mass index ( p=0.002) were lower. Logistic regression analysis showed that TBW percentage > 65.35% ( p=0.050, odds ratio =3.114) and 3rd space water > 0.95% ( p=0.045, odds ratio =2.342) were independent risk factors for lower extremity muscle injuries. Conclusion::TBW percentage and 3rd space water measured with bio-impedance method are potential risk factors for predicting the incidence of lower extremity muscle injuries in young males following training.
		                        		
		                        		
		                        		
		                        	
8.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.
		                        		
		                        		
		                        		
		                        	
9.Changing resistance profiles of Enterococcus in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Na CHEN ; Ping JI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; 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 ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; 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):300-308
		                        		
		                        			
		                        			Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7%)and Enterococcus faecalis(41.5%).The strains were mainly isolated from urinary tract specimens(46.9%±2.6%),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6%).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1%and 1.3%,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7%in 2015 to 3.4%in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3%.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.
		                        		
		                        		
		                        		
		                        	
10.Changing resistance profiles of Enterobacter isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shaozhen YAN ; Ziyong SUN ; Zhongju CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yi XIE ; Mei KANG ; Fengbo ZHANG ; Ping JI ; Zhidong HU ; Jin LI ; Sufang GUO ; Han SHEN ; Wanqing ZHOU ; Yingchun XU ; Xiaojiang ZHANG ; Xuesong XU ; Chao YAN ; Chuanqing WANG ; Pan FU ; Wei JIA ; Gang LI ; Yuanhong XU ; Ying HUANG ; Dawen GUO ; Jinying ZHAO ; Wen'en LIU ; Yanming LI ; Hua YU ; Xiangning HUANG ; Bin SHAN ; Yan DU ; Shanmei WANG ; Yafei CHU ; Yuxing NI ; Jingyong SUN ; Yunsong YU ; Jie LIN ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Yan JIN ; Chunhong SHAO ; Jihong LI ; Lixia ZHANG ; Juan MA ; Yunzhuo CHU ; Sufei TIAN ; Jinju DUAN ; Jianbang KANG ; Ruizhong WANG ; Hua FANG ; Fangfang HU ; Yunjian HU ; Xiaoman AI ; Fang DONG ; Zhiyong LÜ ; Hong ZHANG ; Chun WANG ; Yong ZHAO ; Ping GONG ; Lei ZHU ; Jinhua MENG ; Xiaobo MA ; Yanping ZHENG ; Jinsong WU ; Yuemei LU ; Ruyi GUO ; Yan ZHU ; Kaizhen WEN ; Yirong ZHANG ; Chunlei YUE ; Jiangshan LIU ; Wenhui HUANG ; Shunhong XUE ; Xuefei HU ; Hongqin GU ; Jiao FENG ; Shuping ZHOU ; Yan ZHOU ; Yunsheng CHEN ; Qing MENG ; Bixia YU ; Jilu SHEN ; Rui DOU ; Shifu WANG ; Wen HE ; Longfeng LIAO ; Lin JIANG
Chinese Journal of Infection and Chemotherapy 2024;24(3):309-317
		                        		
		                        			
		                        			Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5%in all clinical isolates amd 5.7%in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7%(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)%,followed by secretions/pus(16.4±2.3)%and urine(16.0±0.9)%.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9%),and only(7.1±0.8)%of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)%compared to the inpatients in any other departement.Overall,≤ 7.9%of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6%of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7%vs 3.9%).Overall,≤8.1%of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5%of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0%over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.
		                        		
		                        		
		                        		
		                        	
            
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