1.Yttrium-90 selective internal radiation therapy on liver cancer: the past, the present, and the future
Jingqin MA ; Linhong ZHANG ; Minjie YANG ; Jiabin CAI ; Ying FANG ; Rong LIU ; Xudong QU ; Lingxiao LIU ; Zhiping YAN
Chinese Journal of Clinical Medicine 2025;32(1):3-8
Yttrium-90 selective internal radiation therapy (90Y-SIRT) is a treatment technique that delivers radioactive microspheres precisely to the arterial vascular bed of neoplasms, utilizing beta radiation to administer a high local dose of radiation to the neoplasm tissues. This technology has demonstrated significant efficacy in patients with unresectable pirmary liver cancers and liver metastases. This article systematically reviews the development history and clinical application status of 90Y-SIRT in the treatment of liver cancer, and looks forward to future development directions.
2.Association among childhood obesity, type 2 diabetes mellitus and coronary artery heart disease: a Mendelian randomization study
CHEN Haimiao ; MA Yan ; LIU Mingqi ; MA Shanshan ; LI Jun ; FANG Yirong
Journal of Preventive Medicine 2025;37(3):307-311
Objective:
To investigate the association between childhood obesity and type 2 diabetes mellitus (T2DM) as well as coronary artery heart disease (CHD).
Methods:
Genome-wide association study (GWAS) data for childhood obesity were collected from the ECG consortium, encompassing information on children aged 2 to 18 years, including 18 613 cases and 12 696 controls. GWAS data for T2DM were collected from the DIAGRAM consortium, including 242 283 cases and 1 569 734 controls. GWAS data for CHD were collected from the CARDIoGRAMplusC4D consortium, including 10 801 cases and 137 371 controls. Pleiotropic genes associated with both T2DM and CHD were analyzed using the MAGMA, PLACO and conditional false discovery rate (cFDR) methods. Mendelian randomization (MR) analysis was performed using inverse variance weighted (IVW) method, exploring the causal relationships among childhood obesity, T2DM and CHD. Heterogeneity was evaluated using Cochran's Q test, horizontal pleiotropy and exclude outliers were tested using MR-Egger regression and MR-PRESSO test. The mediating variables among the three diseases were investigated by using a mediation analysis.
Results:
The results of MAGMA, PLACO and cFDR analyses identified 80 pleiotropic genes associated with both T2DM and CHD, primarily distributed on chromosomes 3, 17 and 19. The MR analysis revealed that childhood obesity increased the risk of T2DM (OR=1.151, 95%CI: 1.033-1.283) and CHD (OR=1.158, 95%CI: 1.068-1.255), T2DM increased the risk of CHD (OR=1.182, 95%CI: 1.139-1.227), and CHD increased the risk of T2DM (OR=1.124, 95%CI: 1.055-1.198). The MR-Egger regression analysis showed no horizontal pleiotropy, and the MR-PRESSO test did not identify any outliers (all P>0.05). Mediation analysis indicated that childhood obesity directly increased the risk of CHD (effect value=0.096, 95%CI: 0.012-0.180) and indirectly increased the risk of CHD through T2DM (effect value=0.023, 95%CI: 0.005-0.041), with the mediation effect accounting for 15.65% of the total effect.
Conclusions
There are potential causal associations between childhood obesity and T2DM as well as CHD, with a bidirectional causal relationship between T2DM and CHD. T2DM also plays a mediating role in the association between childhood obesity and CHD.
3.Spatio-temporal clustering analysis of influenza in Shaoxing City from 2015 to 2024
MA Shanshan ; ZHAO Qifeng ; MA Yan ; WANG Jiling ; CHEN Haimiao ; FANG Yirong
Journal of Preventive Medicine 2025;37(9):945-949
Objective:
To investigate the spatio-temporal clustering characteristics of influenza in Shaoxing City, Zhejiang Province from 2015 to 2024, so as to provide the basis for formulating influenza prevention and control strategies.
Methods:
Influenza case data in Shaoxing City from 2015 to 2024 were collected through the Infectious Disease Surveillance Reporting System of the Chinese Disease Prevention and Control Information System. Descriptive epidemiological methods analyses were used to analyze the epidemiological characteristics of influenza. Spatial autocorrelation and spatio-temporal scanning were used to analyze the spatio-temporal clustering characteristics of influenza.
Results:
A total of 328 759 influenza cases were reported in Shaoxing City from 2015 to 2024, with an average annual reported incidence of 639.90/100 000, which showed an upward trend (AAPC=68.95%, P<0.05). The peak incidence period was from December to February of the following year, with 193 051 cases reported, accounting for 58.72%. There were 165 408 male cases and 163 351 female cases, with a male-to-female ratio of 1.01∶1. Children and adolescents aged 0-<15 years constituted the high-incidence population, while students represented the predominant occupational category, comprising 113 589 cases (34.55%). Keqiao District, Shengzhou City, and Yuecheng District had the top three average annual reported incidence of influenza, at 995.64/100 000, 734.66/100 000, and 687.44/100 000, respectively. Spatial autocorrelation analysis showed that, there were 155 high-high aggregation areas in Shaoxing City from 2015 to 2024, which gradually expanded from the local aggregation in the central part of Shengzhou City to Keqiao District and then spread to Yuecheng District. Spatio-temporal scanning analysis showed that, from November 2023 to February 2024, the strongest spatio-temporal clustering of influenza centered on Keqiao Street in Keqiao District, covering 11 towns (streets) in Yuecheng District and Keqiao District. From 2015 to 2018, the primary-type clustering of influenza was mainly concentrated in Xinchang County and Shengzhou City. After 2019, they gradually shifted to Yuecheng District and Keqiao District, with the main clustering period being from November to February of the following year.
Conclusions
The incidence of influenza in Shaoxing City from 2015 to 2024 showed an upward trend, with obvious spatio-temporal clustering. The clustering area expanded from Shengzhou City in the central region to Keqiao District and Yuecheng District in the northern region, mainly clustering from November to February of the following year.
4.Epidemiological characteristics of hepatitis E in Shaoxing City from 2006 to 2024
LIU Mingqi ; MA Yan ; ZHENG Yingying ; CHEN Haimiao ; LI Jun ; FANG Yirong
Journal of Preventive Medicine 2025;37(11):1155-1159
Objective:
To investigate the epidemiological characteristics of hepatitis E in Shaoxing City, Zhejiang Province from 2006 to 2024, so as to provide the evidence for the prevention and control of hepatitis E.
Methods:
Data on hepatitis E incidence in Shaoxing City from 2006 to 2024 were collected through the Surveillance System of China Information System for Disease Control and Prevention. The epidemiological characteristics were analyzed using descriptive epidemiological methods. The trend in hepatitis E incidence was analyzed using the average annual percent change (AAPC) and annual percent change (APC). The spatial-temporal clustering characteristics of hepatitis E incidence were identified using spatial-temporal scanning analysis.
Results:
A total of 2 408 hepatitis E cases were reported in Shaoxing City from 2006 to 2024, with an average annual reported incidence of 2.55/100 000. The overall trend was not statistically significant (AAPC=3.181%, P>0.05). Specifically, it showed an upward trend from 2006 to 2011 (APC=17.371%, P<0.05), a downward trend from 2011 to 2019 (APC=-12.497%, P<0.05), and an upward trend from 2019 to 2024 (APC=18.076%, P<0.05). The epidemic season of hepatitis E was from January to May, with seasonal indices of 122.09%, 118.60%, 145.02%, 129.57%, and 106.15%, respectively. The top three average annual reported incidences were identified in Zhuji City, Xinchang County, and Shengzhou City, with rates of 4.18/100 000, 2.85/100 000, and 2.74/100 000, respectively. The average annual reported incidence of hepatitis E was higher in males than in females (3.52/100 000 vs. 1.56/100 000, P<0.05). A relatively large number of hepatitis E cases were reported among individuals aged 40-<70 years, with 1 639 cases (68.06%). Among them, the group aged 60-<70 years had the highest average annual reported incidence of hepatitis E, at 4.92/100 000. Farmers constituted the predominant occupational group, accounting for 1 515 cases (62.92%). Spatial-temporal scanning analysis identified two clusters in Shaoxing City from 2006 to 2024. The class Ⅰ cluster was located in Shengzhou City, with aggregation time from January 1, 2011 to May 1, 2014. The class Ⅱ cluster was located in Xinchang County, with aggregation time from December 1, 2012 to March 31, 2013.
Conclusions
The reported incidence of hepatitis E in Shaoxing City from 2006 to 2024 exhibited a pattern of an initial increase, followed by a decrease, and then a subsequent rise. The disease demonstrated higher prevalence during the winter and spring seasons. Key populations for targeted control and prevention include males, individuals aged 40-<70 years, and farmers. Shengzhou City and Xinchang County were identified as high-risk areas.
5.Introduction of workplace-based assessment in dental education
Sai MA ; Tianle LI ; Fu WANG ; Jing GAO ; Ming FANG ; Ling ZHANG ; Yan DONG ; Min TIAN ; Lina NIU
Chinese Journal of Medical Education Research 2024;23(8):1015-1020
Assessment is an indispensable and critical activity in the educational process. In the recent decades, with the birth and development of competence-based educational paradigm, the rationale behind assessment is shifting from "assessment of learning" to "assessment for learning". Workplace-based assessment (WPBA), which aims to improve the quality of both learning and teaching through assessment in real workplace circumstances, is a set of assessment tools that conforms to the new concepts of medical education. In this article, with the purpose to promote the application of WPBA and thus enhance the quality of dental education in our country, a thorough discussion is performed regarding the core principles, tools, advantages of WPBA as well as attentions that should be noted when applying WPBA. It is recommended to establish a longitudinal assessment system which employs various WPBA tools and assesses the development of students' competencies through the whole educational process. Such a dynamic assessment system may be helpful to provide all-rounded and competent dental talents who can eventually benefit the society.
6.Effect of Cigu Xiaozhi decoction on EGFR/PI3K/AKT signaling pathway in NASH's"inflammatory cancer"transformation based on network pharmacology and animal experiments
Lan-Lan ZHENG ; Li WANG ; Cai GUO ; Yan-Fang HE ; Jiao-Jiao XIE ; Yan-Hua MA
Chinese Pharmacological Bulletin 2024;40(8):1573-1582
Aim To study the main active ingredients,key targets and pathways of Cigu Xiaozhi Decoction(CXD)based on network pharmacology,and to ana-lyze and verify the mechanism of CXD on the transfor-mation of"inflammatory cancer"in non-alcoholic steatohepatitis(NASH)by animal experiments.Meth-ods The potential targets and signaling pathways of CXD in the treatment of NASH"inflammatory carcino-ma"were predicted based on network pharmacology.The mouse model of NASH was induced by methionine-choline deficiency diet(MCD),and CXD and epider-mal growth factor receptor(EGFR)inhibitors were given for 28 days.The mice were killed after the inter-vention,and the liver histopathology of each group was observed by hematoxylin-eosin method(HE).The rel-ative expression levels of EGFR,phosphatidylinositol 3-kinase(PI3K)and protein kinase B(AKT)in liver tissue of mice in each group were detected by Western blot.The contents of interleukin-6(IL-6),interleu-kin-1 β(IL-1β)and tumor necrosis factor-α(TNF-α)in serum were detected by enzyme-linked immunosor-bent assay(ELISA).Results A total of 284 poten-tial active components,159 potential therapeutic tar-gets and 20 key targets of CXD were identified by net-work pharmacological screening.CXD could affect multiple biological processes such as cell proliferation and inflammatory response,involving multiple signa-ling pathways such as tumor and PI3K/AKT.Animal experiments showed that CXD could reduce the levels of IL-6,IL-1β and TNF-α in serum of NASH mice.The relative expression of PI3K and AKT protein in liv-er tissue decreased,and the relative expression of EG-FR protein was increased.Conclusion CXD can reg-ulate EGFR/PI3K/AKT signaling pathway by partici-pating in biological processes such as cell proliferation and inflammatory response,and improve liver tissue injury in NASH mice.
7.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.
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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