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.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.
3.Risk assessment on postoperative pneumonia in the surgical department of a tertiary comprehensive teaching hospital
Yao YAO ; Zhu-Hong ZHA ; Guang-Ying LUO ; Dan LIN ; Ni ZENG
Chinese Journal of Infection Control 2024;23(2):214-219
Objective To conduct risk assessment analysis through risk assessment model for postoperative pneu-monia(POP)in surgical departments constructed according to analytic hierarchy process(AHP)-risk matrix,and evaluate the application effectiveness of the model.Methods Taking a tertiary comprehensive teaching hospital as an example,a risk assessment was conducted on the occurrence of POP in 15 surgical departments in 2022.The ap-plication effect of POP risk assessment model for the surgical departments constructed based on the AHP-risk ma-trix was evaluated,and the POP risk level of the surgical departments was determined.Results Through applica-tion of risk assessment model,the POP risk level of the surgical departments was divided into 5 levels,namely ex-tremely high risk(n=3),high risk(n=1),medium risk(n=5),low risk(n=4),and extremely low risk(n=2).Conclusion The application effect of the surgical POP risk assessment model based on AHP-risk matrix method is good,achieving quantitative assessment of healthcare-associated infection risk,and providing data basis and support for further targeted risk control.
4.Investigation and control of a suspected outbreak of carbapenem-resistant Klebsiella pneumoniae bloodstream infection in patients with hematologi-cal tumors
Ni ZENG ; Guang-Ying LUO ; Jing-Jing LI ; Qing-Qing WANG ; Xiao-Li ZHOU ; Ling-Zhu LI ; Zhu-Hong ZHA
Chinese Journal of Infection Control 2024;23(3):316-322
Objective To investigate a suspected outbreak of carbapenem-resistant Klebsiella pneumoniae(CRKP)healthcare-associated bloodstream infection(HA-BSI),provide reference for effective control of CRKP in-fection.Methods The characteristics of CRKP infected patients and the risk factors for the event transmission in an adult hematology department of a teaching hospital in June 2022 were obtained by field epidemiological investigation.The specimens of environmental target strains were co-llected by blood nutrient agar inoculation,the removal status of environmental microorganisms and the effect of infection control after implementing control measures were com-pared.Results There were a total of 6 cases of CRKP HA-BSI,with an attacking rate of 1.29%(6/464),which was significantly higher than 0 during the same period in 2021,and difference was statistically significant(P=0.011).In environmental hygiene monitoring,the detection rate of CRKP was 2.27%(1/44),which was from the surface of bed curtain in the living unit of infected patients,homology analysis with CRKP detected from 2 patients revealed that the 16s RNA of 3 CRKP strains was completely identical,with a similarity of 100%.Seven house-keeping genes of 3 CRKP strains were all identical and belonged to the ST11 type.Comprehensive control measures were taken:appropriate closure of the ward,centralized isolation of patients,terminal disinfection of the ward,reg-ular health care workers and relative restriction of their activity areas.After the measures were taken,the qualified rate of microbial colony count in the ward increased compared to before taking the measures(2.27%vs 68.89%,P<0.001),with a statistically significant difference,there were no more CRKP infected cases after the intervention,indicating that the control measures were effective.Conclusion This outbreak was caused by ST11 type of common CRKP in China,and laminar bed curtains are carriers of pathogen transmission.It is speculated that non-standard cleaning and disinfection,as well as inadequate implementation of hand hygiene are the main causes for transmis-sion.Adopting an appropriate strategy of closing the ward and concentrating patient isolation can quickly and effec-tively prevent the transmission of the event.
5.Chinesization of the HEMO-FISS-QoL questionnaire and its reliability and validity
Songpeng SUN ; Shan JIA ; Fangfang XU ; Tianyu LI ; Zhiyun ZHANG ; Qiaorong CAO ; Xinjian LI ; Yao WU ; Weiping WAN ; Bin SHI ; Jianguo WANG ; Hong NI ; Longyu LIANG ; Xingxiao HUO ; Tianqing YANG ; Lei TIAN ; Ying TIAN ; Mei LIN ; Zhanjun WANG ; Yangyang ZHOU ; Hongchuan CHU ; Riyu LIAO ; Kuerban XIEYIDA ; Junhong LONG ; Shuxin ZHANG
Chinese Journal of Behavioral Medicine and Brain Science 2024;33(1):75-82
Objective:To evaluate the reliability and validity of the Chinese version of HEMO-FISS-QoL(HF-QoL) questionnaire (HF-QoL-C) in the Chinese population with hemorrhoids.Methods:From November 2021 to November 2022, a self-constructed general information questionnaire, HF-QoL-C, and the 36-item short form health survey (SF-36), Goligher classification, and Giordano severity of hemorrhoid symptom questionnaire (GSQ) were used to conduct a questionnaire survey on 760 hemorrhoid patients in the anorectal department of six hospitals. The data was analyzed for reliability and validity using SPSS 21.0 and AMOS 26.0 software.Results:The Cronbach's α coefficient of HF-QoL-C and its dimension ranged from 0.831 to 0.960, and the split coefficient was 0.832-0.915. Four common factors were extracted through principal component exploratory factor analysis. Confirmatory factor analysis indicated acceptable structural validity( χ2/ df=8.152, RSMEA=0.097, CFI=0.881, IFI=0.881, NFI=0.867). HF-QoL-C was correlated with SF36 and GSQ( r=-0.694, 0.501, both P<0.01). There were differences in the total score and dimensional scores of HF-QoL-C between surgical and drug treated patients, different grades of Goligher classification for hemorrhoidal disease, and different ranges of hemorrhoid prolapse (all P<0.001). No ceiling effect was found in the total score and the scores of each dimension(0.3%-2.0%). There was a floor effect in both psychological function and sexual activity dimensions (16.7%, 35.1%). Conclusion:HF-QoL-C has good reliability and validity, which can be used to measure the quality of life of Chinese hemorrhoid patients.
6.Near Peer Learning in Neurology Residency Training on Electromyography
Ying TAN ; Yuehui HONG ; Jia LI ; Dongchao SHEN ; Jiayu SHI ; Hexiang YIN ; Lixin ZHOU ; Jun NI ; Yicheng ZHU
Medical Journal of Peking Union Medical College Hospital 2024;16(1):263-268
To explore the effectiveness of "near peer learning" (NPL) in the electromyography(EMG)teaching module for neurology residents. The Department of Neurology, Peking Union Medical College Hospital implemented an NPL instructional design for a course on EMG for residents from November 2020 to March 2024. This teaching session was held annually, in which senior residents instructed juniors who were 1 or 2 years earlier in their training. The residents participated in the pre-course/post-course tests and completed a feedback survey at the end of the session. This evaluation method was used to understand the effectiveness of the NPL intervention in EMG teaching. Over four years, a total of 83 residents participated. Among them, there were 24 postdoctoral students, 52 postgraduates and 7 junior residents. The results showed that the post-course test scores were significantly improved compared with pre-course test scores (74.33±2.43 The NPL intervention is suitable for the teaching of EMG, because of its contribution to knowledge acquisition and basic clinical skills improvement. The NPL is worth replicating in other teaching and learning programs.
7.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.
8.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.
9.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.
10.Changing resistance profiles of Proteus,Morganella and Providencia in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yunmin XU ; Xiaoxue DONG ; Bin SHAN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Ping JI ; Fengbo 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 ; 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 ; Hongyan ZHENG ; 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 ; Wenhui HUANG ; 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(4):410-417
Objective To understand the changing distribution and antimicrobial resistance profiles of Proteus,Morganella and Providencia in hospitals across China from January 1,2015 to December 31,2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods Antimicrobial susceptibility testing was carried out following the unified CHINET protocol.The results were interpreted in accordance with the breakpoints in the 2021 Clinical & Laboratory Standards Institute(CLSI)M100(31 st Edition).Results A total of 32 433 Enterobacterales strains were isolated during the 7-year period,including 24 160 strains of Proteus,6 704 strains of Morganella,and 1 569 strains of Providencia.The overall number of these Enterobacterales isolates increased significantly over the 7-year period.The top 3 specimen source of these strains were urine,lower respiratory tract specimens,and wound secretions.Proteus,Morganella,and Providencia isolates showed lower resistance rates to amikacin,meropenem,cefoxitin,cefepime,cefoperazone-sulbactam,and piperacillin-tazobactam.For most of the antibiotics tested,less than 10%of the Proteus and Morganella strains were resistant,while less than 20%of the Providencia strains were resistant.The prevalence of carbapenem-resistant Enterobacterales(CRE)was 1.4%in Proteus isolates,1.9%in Morganella isolates,and 15.6%in Providencia isolates.Conclusions The overall number of clinical isolates of Proteus,Morganella and Providencia increased significantly in the 7-year period from 2015 to 2021.The prevalence of CRE strains also increased.More attention should be paid to antimicrobial resistance surveillance and rational antibiotic use so as to prevent the emergence and increase of antimicrobial resistance.

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