1.Development of self-management behavior assessment scale for chemotherapy patients with PICC
Dongjie XING ; Lianjing LI ; Lixia SHAN
Chinese Journal of Practical Nursing 2014;30(26):11-14
Objective To develop self-management behavior assessment scale for chemotherapy patients with peripherally inserted central catheter (PICC),and test the validity and reliability of it.Methods In reference to Chronic Disease Self Management Study Measure and its scoring standard by patient education and study center of American Stanford University,in combination with PICC patient self-management content,with reference to the literature,expert assessment,the self-management behavior assessment scale was established.The scale included five dimensions,19 quantitative indicators,a total of 78 entries.From February 2010 to November 2011 192 cases of breast cancer chemotherapy patients with PICC participated in the survey.Results Effective questionnaire was 178 copies,scale of content validity index (CVI) was 0.906,the overall Cronbach alpha coefficient was 0.892.Using factor analysis method,4 common factors were extracted whose characteristic root was greater than 1,and could explain 41.180% of the total variance,each item on the corresponding factor of load was above 0.3.Conclusions The evaluation scale has good validity and reliability,which can provide researchers with a tool to evaluated and intervene with self management behavior of breast cancer chemotherapy patients with PICC.
2.Extravascular lung water index versus oxygenation index in estimation of severity of acute lung injury
Shan FENG ; Qingsheng HUANG ; Lixia ZHANG ; Mingxing FANG ; Jianying GUO ; Zhiyong WANG
Chinese Journal of Anesthesiology 2011;31(3):318-320
Objective To compare extravascular lung water index (EVLWI) and oxygenation index (PaO2/FiO2) in estimation of acute lung injury(ALI) .Methods Sixteen patients with post traumatic ALI (within 48 h) of both sexes, aged 18-80 yr, were studied. The patients were mechanically ventilated. Right internal jugular vein and femoral artery were catheterized and connected to PiCCO monitor (IntelliVue MP50, Philips, Netherlands).EVLWI was monitored with the PiCCO system. PaO2 was determined every 24 h. ALI was diagnosed based on the following criteria:(1)PaO2/FiO2≤300 mm Hg; (2)X-ray chest film-patchy shadows in the bilateral lungs and (3) CVP≤12 mm Hg.Lung injury score(LIS) was recorded. The patients were divided into PaO2/FiO2≤ 300 group and ≤200 group and EVLWI ≥ 10 group and < 10 group. Results There was no significant difference in LIS between PaO2/FiO2 ≤300 group and PaO2/FiO2 ≤200 group at 24 and 48 h of PiCCO monitoring. At 72 h of PiCCO monitoring LIS was significantly increased in PaO2/FiO2 ≤200 group as compared with PaO2/FiO2 ≤300 group, LIS was significantly higher in EVLWI≥ 10 group than in EVLWI < 10 group at 24, 48 and 72 h of PiCCO monitoring. Conclusion EVLWI is more accurate than PaO2 /FiO2 in estimation of severity of ALI.
3.Sequential Injection Instrument for Determination of Urine Iodine
Ying LIU ; Rong ZHANG ; Weijing BU ; Jiebing TANG ; Shan CHEN ; Lixia LIU
Chinese Journal of Analytical Chemistry 2009;37(11):1706-1710
An iodine analysis instrument with sequential injection of urine samples was developed. A method for measurement of urine iodine was also developed by combining sequential injection and catalysis kinetics,and making use of catalysis facilitation of the iodine in the redox reaction of As~(3+) and Ce~(4+) . The sequential injection and stopped-flow stabilization determination were made possible by the program-controlled injector with controlled flow rate and the 16-hole program-controlled selection valves. The arsenic-cerium reaction with iodine-catalyzed at constant temperature state might proceed with the constant temperature flow cell. Using the syringes with program-controlled velocity,pushing and suction,Using the digital connected circuit and micro-iodine determination software,the reaction temperature of (32.0±0.1)℃,injection time of 45 s,stabilization time of 60 s,detection time of 20 s,injection volume of 400μL,linear range of 15 -600μg/L,detecting limitation of 5.01 μg/L(n=11) and recovery rate of 94. 1 % - 105. 1 % were obtained. With this method,the detecting result of the National Standard Reference (GBW09109 and GBW09110) materials was within a given standard range. Through this method,the detecting results had no significant differences comparing with those by standard method of National Health Service(P >0.05).
4.Effect of respiratory muscle exercise combined with lung protective ventilation strategy on atelectasis of elderly patients with robot-assisted radical prostatectomy
Xiaoli WU ; Lixia NIE ; Xuesen SU ; Shan HU ; Shouyuan TIAN
Chinese Journal of Geriatrics 2021;40(10):1304-1308
Objective:To evaluate the effect of preoperative respiratory muscle exercise combined with intraoperative lung protective ventilation strategy on atelectasis in elderly patients undergoing robot-assisted radical prostatectomy.Methods:In the prospective study, a total of 45 patients aged 65-80 years undergoing scheduled robot-assisted radical prostatectomy in First Hospital of Shanxi Medical University from August 2020 to November 2020 were divided into three groups( N=15, each): respiratory muscle exercise combined with lung protective ventilation strategy group(combined group), lung protective ventilation strategy group(pulmonary protective group)and conventional ventilation strategy(control group). Heart rate, systolic blood pressure, diastolic pressure, and pulse oxygen saturation as well as blood gas analysis of arterial blood and the calculated oxygenation index were measured and recorded immediately after establishing invasive artery monitoring in operating room, 10 min after endotracheal intubation, 1 h after the flexitic position, 30 min after tracheal extubation, 24 h after operation in all three groups of patients.The lung compliance values, peak airway pressure, and end-tidal carbon dioxide were recorded at 10 minutes after tracheal intubation, 30 minutes after tracheal extubation, 1 hour after succession position.A single-slice chest CT scan was performed at 1 h after surgery while satisfying the anesthesia recovery steward score ≥ 5.And the percentage of atelectasis area was calculated. Results:The American Society of Anesthesiologisits(ASA)classification of patients was 11/4, 12/3, and 11/4 in the combination group, lung protection group and control group respectively, and the difference was not statistically significant( χ2=0.127, P>0.05). Oxygenation index(mmHg)(1 mmHg=0.133 kPa)at 24 h after surgery was significantly higher in the combined group(351.1±11.2)than in lung protection group(337.0±13.4)( t=3.287, P<0.05). Atelectasis area(Median, Interquartile range)assessed by CT imaging at 30 min after tracheal extubation was 1.92(0.77)% in the combination group, 2.09(1.13)% in lung protection group, and 3.01(1.01)% in control group, with statistically significant difference( χ2 values, 26.036, 12.313, both P<0.05). Atelectasis area at 30 minutes after tracheal extubation was statistically significant smaller in the combination group than in lung protection group( χ2=6.240, P<0.05). Conclusions:Preoperative respiratory muscle exercise combined with intraoperative lung protective ventilation strategy can achieve the better effect of lung protection, reduce the degree of perioperative atelectasis in elderly patients, and improve oxygenation function.
5.Establishment of a quantification method for the amino acid 70 substitution in the core region of hepatitis C virus genotype 1b
Zhongjie HU ; Ying LIU ; Lixia QIU ; Zuopeng FAN ; Wei NIE ; Shan LIANG
Chinese Journal of Experimental and Clinical Virology 2014;28(4):305-308
Objective To develop a rapid and sensitive method to quantify the substitution of amino acid (aa) 70 in hepatitis C virus (HCV) genotype 1 b core region.Methods Specific primers and TaqManminor groove binder probes were designed to establish a real time reverse transcription-polymerase chain reaction for aa70 substitution.The specificity,sensitivity and accuracy of the system were tested.Results The probes could clearly distinguish 70W and 70M.The detection limit for each system was 5 copies/ reaction.Further tests using cloning sequencing confirmed the reliability of the detection system.Conclusions A novel system was developed and provides an effective,sensitive,and accurate approach to quantify the wild type and mutant strains of HCV 1b core region as70.
6.The cut off value of liver stiffness measurement needs to be lowered to predict liver fibrosis after sustained virologic response in chronic hepatitis C patients
Lixia QIU ; Jingjing SONG ; Shan LIANG ; Yali LIU ; Jing ZHANG
Journal of Clinical Hepatology 2021;37(12):2808-2812
Objective To further verify the ability of noninvasive diagnostic method for liver fibrosis in predicting liver fibrosis in chronic hepatitis C patients followed up after sustained virologic response (SVR) based on liver biopsy. Methods A prospective cohort study was performed for the chronic hepatitis C patients who attended Beijing YouAn Hospital, Capital Medical University, from October 2015 to December 2017, and all patients were followed up regularly after SVR and underwent liver biopsy. The diagnostic efficiency of the noninvasive diagnostic method for liver fibrosis was verified based on pathological results. The receiver operating characteristic (ROC) curve was used to evaluate the ability of LSM, aspartate aminotransferase-to-platelet ratio index (APRI), and fibrosis-4 (FIB-4) in the diagnosis of liver fibrosis, and STATA and R language were used to compare the area under the ROC curve (AUC). Results A total of 96 patients were successfully enrolled. The LSM after SVR was significantly lower than that at baseline, and LSM had a significantly larger AUC than APRI (0.89 vs 0.67, P < 0.05) and FIB (0.89 vs 0.69, P < 0.05) in the diagnosis of liver cirrhosis after SVR. LSM at a cut-off value of 7.95 kPa, and based on the best specificity, the diagnosis of liver cirrhosis could be considered when LSM was greater than 9.15 kPa, with a positive likelihood ratio of 5.91%; progressive liver fibrosis could be excluded based on LSM < 6.85 kPa, with a negative predictive value of 0.98. Follow-up time and antiviral regimen had no influence on the diagnostic ability of LSM. Conclusion The cut off value of LSM needs to be lowered to predict liver fibrosis after SVR in chronic hepatitis C patients.
7.Antimicrobial resistance profile of clinical isolates in hospitals across China: report from the CHINET Surveillance Program, 2017
Fupin HU ; Yan GUO ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Yuanhong XU ; Jilu SHEN ; 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 ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Dawen GUO ; Jinying ZHAO ; Wenen LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Kaizhen WEN ; Yirong ZHANG ; Xuesong XU ; Chao YAN ; Hua YU ; Xiangning HUANG ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Hongyan ZHENG ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2018;18(3):241-251
Objective To investigate the antimicrobial resistance profile of the clinical isolates collected from selected hospitals across China. Methods Twenty-nine general hospitals and five children's hospitals were involved in this program. Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems. Results were interpreted according to CLSI 2017 breakpoints. Results A total of 190 610 clinical isolates were collected from January to December 2017, of which gram negative organisms accounted for 70.8% (134 951/190 610) and gram positive cocci 29.2% (55 649/190 610). The prevalence of methicillin-resistant strains was 35.3% in S. aureus (MRSA) and 80.3% in coagulase negative Staphylococcus (MRCNS) on average. MR strains showed much higher resistance rates to most of the other antimicrobial agents than MS strains. However, 91.6% of MRSA strains were still susceptible to trimethoprim-sulfamethoxazole, while 86.2% of MRCNS strains were susceptible to rifampin. No staphylococcal strains were found resistant to vancomycin. E. faecalis strains showed much lower resistance rates to most of the drugs tested (except chloramphenicol) than E. faecium. Vancomycin-resistant Enterococcus (VRE) was identified in both E. faecalis and E. faecium. The identified VRE strains were mainly vanA, vanB or vanM type based on phenotype or genotype. The proportion of PSSP or PRSP strains in the non-meningitis S.pneumoniae strains isolated from children decreased but the proportion of PISP strains increased when compared to the data of 2016. Enterobacteriaceae strains were still highly susceptible to carbapenems. Overall, less than 10% of these strains (excluding Klebsiella spp.) were resistant to carbapenems. The prevalence of imipenem-resistant K. pneumoniae increased from 3.0% in 2005 to 20.9% in 2017, and meropenem-resistant K. pneumoniae increased from 2.9% in 2005 to 24.0% in 2017, more than 8-fold increase. About 66.7% and 69.3% of Acinetobacter (A. baumannii accounts for 91.5%) strains were resistant to imipenem and meropenem, respectively. Compared with the data of year 2016, P. aeruginosa strains showed decreasing resistance rate to carbapenems. Conclusions Bacterial resistance is still on the rise. It is necessary to strengthen hospital infection control and stewardship of antimicrobial agents. The communication between laboratorians and clinicians should be further improved in addition to surveillance of bacterial resistance.
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.