1.Ethical reflections on the clinical application of medical artificial intelligence
Fangfang CUI ; Zhonglin LI ; Xianying HE ; Wenchao WANG ; Yuntian CHU ; Xiaobing SHI ; Jie ZHAO
Chinese Medical Ethics 2025;38(2):159-165
Medical artificial intelligence (AI) is a new type of application formed by the combination of machine learning, computer vision, natural language processing, and other technologies with clinical medical treatment. With the continuous iteration and development of relevant technologies, medical AI has shown great potential in improving the efficiency of diagnosis and treatment, and service quality, but it also increases the possibility of triggering ethical issues. Ethical issues resulting from the clinical application of medical AI were analyzed, including the lack of algorithmic interpretability and transparency of medical AI, leading to information asymmetry and cognitive discrepancies; the concerning status of security and privacy protection of medical data; and the complex and unclear division of responsibilities due to the collaborative participation of multiple subjects in the clinical application of medical AI, resulting in increased difficulty in the identification of medical accidents and clarification of responsibilities. The paper proposed the principles of not harming patients’ interests, physician’s subjectivity, fairness and inclusiveness, and rapid response. It also explored the strategies and implementation paths for responding to the ethical issues of medical AI from multiple perspectives, including standardizing the environment and processes, clarifying responsibility attribution, continuously assessing the impact of data protection, guaranteeing data security, ensuring model transparency and interpretability, carrying out multi-subject collaboration, as well as the principles of being driven by ethical values and adhering to the “human health-centeredness.” It aimed to provide guidance for the healthy development of medical AI, ensuring technological progress while effectively managing and mitigating accompanying ethical risks, thereby promoting the benign development of medical AI technology and better serving the healthcare industry and patients.
2.Subacute exposure to DEHP leads to impaired decidual reaction and exacerbates the risk of early miscarriage in mice
Qiuju LIU ; Liping TAN ; Liu YUAN ; Xuemei CHEN ; Fangfang LI ; Junlin HE ; Rufei GAO
Journal of Zhejiang University. Medical sciences 2024;53(3):331-341
Objective:To investigate the effect of subacute exposure of Di(2-ethylhexyl)phthalate(DEHP)on endometrial decidualization and early pregnancy miscarriage in mice.Methods:CD1 mice were orally administrated with 300(low-dose group),1000(medium-dose group),or 3000 mg·kg-1·d-1 DEHP(1/10 LD50,high-dose group)for 28 days,respectively.An early natural pregnancy model and an artificially induced decidualization model were established.The uterine tissues were collected on D7 of natural pregnancy and D8 of artificially induced decidualization,respectively.The effects of a subacute exposure to DEHP on the decidualization of mice were detected by HE staining,Masson staining,TUNEL assay,and Western blotting.A model of spontaneous abortion was constructed in mice after subacute exposure to 300 mg·kg-1·d-1 DEHP,and the effect of impaired decidualization on pregnancy was investigated by observing the pregnancy outcome on the 10th day of gestation.Results:Compared with the control group,the conception rate was significantly decreased in the high-dose DEHP subacute exposure group(P<0.05).HE staining showed that,compared with the control group,the decidual stromal cells in the low-and medium-dose exposure groups were disorganized,the nuclei of the cells were irregular,the cytoplasmic staining was uneven,and the number of polymorphonuclear cells was significantly reduced.Masson staining showed that compared with the control group,the collagen fibers in the decidua region of the DEHP low-dose group and the medium-dose group were more distributed,more abundant and more disorderly.TUNEL assay showed increased apoptosis in the decidua area compared to the control group.Western blotting showed that the expression of BMP2,a marker molecule for endometrial decidualization,was significantly reduced(P<0.05 or P<0.01).The abortion rate and embryo resorption rate were increased,and the number of embryos,uterine wet weight,uterine area and placenta wet weight were decreased in DEHP low-dose group compared to the control group stimulated by mifepristone,an abortifacient drug(P<0.05 or P<0.01).Conclusion:Subacute exposure to DEHP leads to impaired endometrial decidualization during early pregnancy and exacerbates the risk of adverse pregnancy outcomes in mice.
3.Exploration of the process of talent recruitment in public hospitals in the era of digital economy
Yong ZHANG ; Xupeng HE ; Weiling ZHANG ; Fangfang JI ; Zhu LV
Modern Hospital 2024;24(6):901-903
In recent year,under the influence of the concept of"slow employment"and"lazy employment",more and more job seekers flow to the market.Considering that human resource is the basic of hospital survival and development,and talent recruitment is the source of talent work,hospitals need to ensure effective recruitment of talents under the digital economy era,and seize these opportunities to attract talents.By analyzing the measures of the recruitment process of the Six Affiliated Hospital of Sun Yat-sen University during 2018-2023,the paper summarizes the hospital's experience to improve the recruitment process by building a broader,more complete,faster and more accurate recruitment system.At the same time,the recruitment process should be constantly optimized in accordance with the current policies of epidemic prevention and control to ensure that talents are available for hospitals and hospitals can employ the most suitable talents.
4.Application of Adverse Drug Reaction of Data Mining in Pharmacovigilance
Ruishan ZHOU ; Peiwen LU ; Junheng CHEN ; Yiyang SHI ; Mingxiu HE ; Fangfang HAN ; Yongming CAI
Chinese Journal of Modern Applied Pharmacy 2024;41(6):864-870
With the development of information technology, the massive growth of pharmaceutical electronic data and the significant increase in the reports of drug adverse event reports have brought great challenges to pharmacovigilance research. Data mining techniques can automatically extract the risk signals of adverse drug reaction from real-world data. Therefore, efficient data mining of massive adverse event reporting is a necessary measure to realize the automatic detection of adverse drug reactions. By introducing the current major large-scale adverse drug event reporting databases and related data mining methods, this study reviews the application and limitations of adverse drug reaction data mining technology in pharmacovigilance, which provides reference for pharmacovigilance-related institutions and researchers.
5.Study on the application value of fecal SDC2 gene methylation detection in colorectal cancer screening of urban residents in Zengcheng District in Guangzhou City
Yan HE ; Fangfang XU ; Haijun ZUO ; Wei CHEN ; Zhibin LIU ; Zebang LIU ; Xuezhen CHEN ; Qingshen HUI ; Gengwen ZOU ; Zhenbin CAI ; Yang LIU ; Haoshun TAN ; Hongfeng ZHOU ; Jianping WANG
Chinese Journal of Preventive Medicine 2024;58(7):1020-1028
Objective:To investigate the application value of fecal Syndecan-2 (SDC2) gene methylated SDC2 (m SDC2) detection in colorectal cancer (CRC) screening among urban residents in Guangzhou City. Methods:A cross-sectional study was conducted in Shitan Town, Zengcheng District, Guangzhou City from July to December 2022. A community-based screening program for CRC was conducted among residents aged 40-74 years old. m SDC2 detection was employed in the participants, and those with positive results should be recommended to receive colonoscopy examination. The positive rate of m SDC2 detection, colonoscopy compliance rate, detection rate of intestinal lesions and clinicopathological characteristics were observed. The relationship between cycle threshold (CT) value of m SDC2 and intestinal lesions was explored. Further, the cost-effectiveness of screening was evaluated. Results:A total of 8 189 fecal samples were collected from 8 877 participants with the recovery rate of 92.25%. 8 048 qualified samples were enrolled in this study, consisted of 3 182 males (39.54%) and 4 866 females (60.46%), with the average age of 56 years old (40-74 years). The positive rate of m SDC2 detection was 7.99% (643/8 048), and the compliance rate of colonoscopy was 73.10% (470/643). 20 cases (4.25%) of colorectal cancer, 109 cases (23.19%) of advanced adenoma, 145 cases (30.85%) of non-advanced adenoma, 79 cases (16.81%) of polyps were detected. The detection rate of intestinal lesions was 75.11% and indicated significant differences in gender and age. 20 CRCs included 15 of stage 0-I, 4 of stage Ⅱ-Ⅲ and 1 of unknown stage. The CT value of m SDC2 was negatively correlated with the proportion of advanced colorectal neoplasms ( χ2=16.063, P<0.001). The total cost of the screening was 4.339 5 million yuan, the screening benefit was 28.506 2 million yuan, and the benefit-cost ratio was 6.57. Conclusion:The CRC screening strategy of fecal m SDC2 detection combined with colonoscopy has high colonoscopy compliance and detection rate of intestinal lesions, which is conducive to the detection of early CRCs, and has good cost-effectiveness. This study suggests that this method may be applied to the general CRC screening in China and contribute to the prevention of CRC. The CT value of m SDC2 may have a certain suggestion on the malignant degree of intestinal tumors.
6.Development and external validation of a quantitative diagnostic model for malignant gastric lesions in clinical opportunistic screening: A multicenter real-world study
Hongchen ZHENG ; Zhen LIU ; Yun CHEN ; Ping JI ; Zhengyu FANG ; Yujie HE ; Chuanhai GUO ; Ping XIAO ; Chengwen WANG ; Weihua YIN ; Fenglei LI ; Xiujian CHEN ; Mengfei LIU ; Yaqi PAN ; Fangfang LIU ; Ying LIU ; Zhonghu HE ; Yang KE
Chinese Medical Journal 2024;137(19):2343-2350
Background::Clinical opportunistic screening is a cost-effective cancer screening modality. This study aimed to establish an easy-to-use diagnostic model serving as a risk stratification tool for identification of individuals with malignant gastric lesions for opportunistic screening.Methods::We developed a questionnaire-based diagnostic model using a joint dataset including two clinical cohorts from northern and southern China. The cohorts consisted of 17,360 outpatients who had undergone upper gastrointestinal endoscopic examination in endoscopic clinics. The final model was derived based on unconditional logistic regression, and predictors were selected according to the Akaike information criterion. External validation was carried out with 32,614 participants from a community-based randomized controlled trial.Results::This questionnaire-based diagnostic model for malignant gastric lesions had eight predictors, including advanced age, male gender, family history of gastric cancer, low body mass index, unexplained weight loss, consumption of leftover food, consumption of preserved food, and epigastric pain. This model showed high discriminative power in the development set with an area under the receiver operating characteristic curve (AUC) of 0.791 (95% confidence interval [CI]: 0.750–0.831). External validation of the model in the general population generated an AUC of 0.696 (95% CI: 0.570–0.822). This model showed an ideal ability for enriching prevalent malignant gastric lesions when applied to various scenarios.Conclusion::This easy-to-use questionnaire-based model for diagnosis of prevalent malignant gastric lesions may serve as an effective prescreening tool in clinical opportunistic screening for gastric cancer.
7.Fractional CO2 laser combined with triamcinolone acetonide and econazole nitrate cream in the treatment of vulvar lichen sclerosus
Hongyan WANG ; Wenying WANG ; Guojing HE ; Guoping CHEN ; Lixia LUAN ; Fangfang XUE
The Journal of Practical Medicine 2024;40(21):3047-3053
Objective To investigate the therapeutic efficacy of combining fractional CO2 laser with triam-cinolone acetonide and econazole nitrate cream for the treatment of vulvar lichen sclerosus(VLS).Methods The clinical data of 113 patients with vulvar lichen sclerosus(VLS)were retrospectively analyzed.The patients were divided into an observation group and a control group based on different treatments received.Clinical symptoms(vulvar itching,painful intercourse)and signs(vulvar skin color,vulvar skin elasticity,range of vulvar lesions)were scored using the Cattaneo scoring criteria.The Cattaneo scores before and after treatment were recorded for each patient,and comparisons were made between groups in terms of Cattaneo scores and occurrence of adverse reac-tions.The therapeutic efficacy of fractional CO2 laser combined with triamcinolone acetonide and econazole nitrate cream was evaluated.Results After three treatments,both groups exhibited a significant decrease in Cattaneo scores,with a statistically significant difference(P<0.05).The study group demonstrated a significantly greater reduction in Cattaneo scores compared to the control group(P<0.05).Furthermore,the cure rate of VSL was higher in the study group than in the control group(25.86%vs.10.91%,P<0.05).Regarding adverse effects,there was no statistically significant difference between the two groups(P>0.05).Conclusions Compared to the single application of fractional CO2 laser,the combination of fractional CO2 laser with triamcinolone acetonide and econazole nitrate cream demonstrates enhanced efficacy in alleviating signs and symptoms among patients with vulvar sclerosing tundra,while minimizing adverse reactions.This approach holds significant potential for clinical implementation.
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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