1.Treatment of 30 Cases of Prolapse of Lumbar Intervertebral Disc by Electroacupuncture plus Tuina
Guimei JIANG ; Chao JIA ; Xuefei WU
Journal of Acupuncture and Tuina Science 2003;1(5):54-55
Purpose: To observe the clinical therapeutic effect of electro acupuncture plus Tuina on treating prolapse of lumbar intervertebral disc. Methods: Electro -acupuncture at Jiaji(Ex-B 2) acupoints plus reduction manipulations were used to treat 30 cases of prolapse of lumbar intervertebral disc. Results: After 2 courses of treatment, among the 30 cases, 8 cases were cured and 22cases got improvements, and the effective rate was 100%.Conclusion: Electroacupuncture plus reduction manipula -tions had a satisfactory effect on treating this disease;and it can significantly improve the clinical symptoms of the patients.
2.Mechanistic study of Cyclosporin A in alleviating cardiac injury in model mice with acute pancreatitis
Tong WU ; Xuefei GAO ; Yingli JIA ; Jing YANG
Chinese Journal of Immunology 2023;39(12):2501-2506,2512
Objective:To observe whether Cyclosporin A(CSA)treatment may protect acute pancreatitis(AP)mice and related cardiac injury by consequent attenuation of systemic inflammation via regulating macrophage polarization.Methods:RAW264.7 cells were used for in vitro experiments,stimulated with 0,5,10 and 20 nmol/L CSA for 24 hours,and M2 markers were detected by flow cytometry.C57BL/6J mice were used for experiments in vivo.The mice were randomly divided into 3 groups(n=15):control group,AP model group(intraperitoneal injection of L-arginine)and AP+CSA(20 mg/kg)group,CSA was administered in a pre-treated manner.ELISA kit was used to detect the indexes of pancreatic and myocardial injury in mice;HE staining was used to detect the pathological changes of pancreas and heart tissue;TUNEL method was used to detect apoptosis in tissue sections;CETSA was used to determine the relationship between CSA and PKM;The expressions of PKM2,HIF1α,p-STAT1 and p-STAT6 were detected by Western blot.Results:CSA increased the number of M2 macrophages and decreased the number of M1 macrophages in a dose-dependent manner in vitro.CSA pretreatment significantly improved pancreatic structure and myocardial injury in AP mice,decreased pancreatic histopathological score and serum amylase,lipase,TNF-α,CK-MB,LDH and cTnT levels.CSA pretreatment significantly reduced the number of TUNEL positive cells in myocardium of AP mice.Flow cytometry analysis showed that CSA pretreatment significantly inhibited the proportion of CD11c+F4/80+ and promoted the ratio of CD206+F4/80+ in AP induced myocardial macrophages.CETSA analysis showed that PKM2 was the target of CSA.Conclusion:CSA can significantly improve the severity of L-arginine-induced cardiac damage in AP model mice,and its mechanism of action is related to increasing the number of M2 macro-phages and inhibiting the production of proinflammatory cytokines.
3.Clinical application and rethinking of rabies immunoglobulin
Xuefei WANG ; Fen YANG ; Ruifeng CHEN ; Lisong HUANG ; Yiqing JIA ; Juan NIU ; Fei LI ; Yi SHAN
Chinese Journal of Experimental and Clinical Virology 2020;34(5):506-510
Objective:To analyze the administration of rabies immunoglobulin (RIG) in populations who had rabies virus exposure, and to investigate the safety of RIG and related factors affecting its administration.Methods:This cross-sectional study included the rabies virus exposed victims who were treated at the sixth medical center of the People’s Liberation Army (PLA) General Hospital from April to November 2019. The clinical characteristics of the patients who accepted RIG injection and those who refused RIG were analyzed and compared, and the determinant factors of the RIG injection were studied by stepwise multiple logistic regression analysis.Results:There were 1 395 cases of category III exposure, of whom 662 (47%) were males, 733 (52.5%) were females. The median age was 29 (9-49) years. Among them, 1 049 cases were injected with RIG, while 346 were not injected with RIG. Side effects associated with RIG injection included pain (97.6%), dizziness (7.0%), nausea (6.5%), chest tightness (2.1%), and syncope (0.3%). Stepwise multiple logistic regression analysis showed that adults ( OR=17.14, 95% CI: 9.69-30.32), middle-aged and elderly ( OR=12.92, 95% CI: 6.83-24.43), and those whose injury was caused by cats ( OR=3.18, 95% CI: 2.09-4.84), scratches ( OR=7.66, 95% CI: 4.27-13.75), those with minor injuries ( OR=21.75, 95% CI: 11.70-40.42) more likely to choose not to inject RIG. Conclusions:It is safe and effective to inject RIG for patients with grade III exposure to rabies virus. Exposed persons who are not injured by dogs, slightly injured and elderly people tend not to inject RIG.
4.Relationship of CKS1B mRNA Expression in Endometrial Cancer Tissues with Its Clinicopathological Features and Prognosis
Xuefei BAI ; Min WEI ; Qi WANG ; Zhihong JIA ; Yinqiao DAI
Journal of Modern Laboratory Medicine 2024;39(6):23-28
Objective To investigate the expression of CKS1B in endometrial carcinoma(EC)and its relationship with clinicopathological features and prognosis.Methods The expression profile data and clinical data of CKS1B from the TCGA and GTEx databases were downloaded to investigate the expression of CKS1B in EC and its relationship with clinicopathological features.The expression of CKS1B at the protein level was verified using the UALCAN database.The relationship between CKS1B expression and clinicopathological parameters was analyzed by Logistic regression.The r program perform enrichment analysis on CKS1B co-expressed genes in the TCGA database.Finally,CKS1B mRNA expression was discovered in the cell lines Ishikawa and HEC-1-A by quantitative real-time PCR(qRT-PCR).CKS1B protein expression was detected in EC tissues and adjacent tissues by Western Bolt(WB).Results CKS1B mRNA and protein were remarkably higher in EC tissues than in normal endometrium,and the differences were statistically significant(P<0.05).The level of CKS1B mRNA expression was strongly correlated with FIGO stage(F=42.994),histological grade(F=70.350),histological type(F=87.341)and age(F=40.097)(all P<0.05).The results of the Kaplan-Meier method showed that patients with high CKS1B mRNA expression had a lower overall survival rate(Log-rank x2=1.175,P<0.01).Multifactorial COX analysis showed that FIGO stage(HR=3.065,95%CI:1.906~4.926)and CKS1B expression(HR=1.856,95%CI:1.154~2.985)were independent risk factors affecting the prognosis of patients with EC(P<0.05).GO analysis showed that CKS1B was mainly involved in nuclear division and chromosome separation.KEGG analysis showed it was mainly enriched in the cell cycle,spliceosome and DNA replication.Further verification showed that CKS1B mRNA was highly expressed in Ishikawa and HEC-1-A cell lines(F=44.560,P<0.001),CKS1B protein was highly expressed in EC tissues(t=14.900,P<0.001).Conclusion CKS1B is upregulated in EC and is linked to clinicopathological variables in the patients.It may play a role in the development of EC by regulating the cell cycle,and it is expected to be a new marker for the diagnosis and prognosis of EC.
5.Clinical features and risk factors of the kidney function progression in elderly patients with stage 3-4 chronic kidney disease
Yanjing ZHANG ; Jihong YANG ; Xiaohong FU ; Hua WU ; Jing JIA ; Xuefei JIA ; Yu QIAO ; Meng WANG ; Ming LI ; Lei QIU ; Hong SHI ; Huan XI ; Yao WANG
Chinese Journal of Geriatrics 2018;37(6):631-635
Objective To investigate the clinical features of elderly patients with stage 3-4 chronic kidney disease ( CKD ) and to analyze the risk factors of the kidney function progression. Methods This was a cross-sectional study. The clinic data of elderly patients (≥60 years) with stable clinical manifestation in Beijing Hospital from January ,2014 to December ,2015 was collected.Based upon the eGFR derived from Cockcroft-Gault (CG) equation ,all patients were divided into groups of CKD 3a group ,CKD 3b group and CKD 4 group ,respectively. Moreover ,patients were separated into the old group (< 80 years) and the very old group (≥80 years) based on the age. The demographic features ,primary diseases history ,body mass index (BMI) ,blood routine ,urine routine , blood biochemistry ,Cystatin C and iPTH were recorded.Logistic regression analysis of kidney function progression was also conducted. Results One-hundred and eighty-three cases were enrolled with a mean age of(80 ± 9)years.Along with the descent of kidney function ,the age ,levels of proteinuria and iPTH gradually ascended (F= 12.352 ,5.910 ,5.910 ;P= 0.000 ,0.003 ,0.003 ,respectively) and the BMI and serum albumin gradually descended (F=9.758 ,11.088 ;P=0.000 ,0.000 ,respectively).In addition ,compared to the old group ,very old group was associated with decreased level of eGFR [(37.1 ± 9.9) ml·min-1·1.73 m -2vs. (44.0 ± 12.0) ml·min-1·1.73 m -2,t= -4.280 ,P=0.000] and increasedlevelofCystatinC[(1.71±0.84)mg/L vs. (1.40±0.69)mg/L ,t=3.484 ,P=0.001].The Logistic regression analysis indicated that the proteinuria was an independent risk factor for the progression of kidney function ( OR =3.856 ,P=0.004). Conclusions As the gradually descended of the eGFR level in elderly patients with stage 3-4 CKD ,age ,proteinuria and iPTH gradually ascended ,BMI and serum albumin descended ,respectively. The level of eGFR decreased and CystatinC increased significantly with the increasing age. Proteinuria was an independent risk factor for progression of the kidney function.
6.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.
7.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.
8.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.
9.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.
10.Changing distribution and resistance profiles of Klebsiella strains in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chuyue ZHUO ; Yingyi GUO ; Chao ZHUO ; 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 ; 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 ; 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):418-426
Objective To understand the changing distribution and antimicrobial resistance profiles of Klebsiella strains in 52 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Antimicrobial susceptibility testing was carried out according to the unified CHINET protocol.The susceptibility results were interpreted according to the breakpoints in the Clinical & Laboratory Standards Institute(CLSI)M100 document.Results A total of 241,549 nonduplicate Klebsiella strains were isolated from 2015 to 2021,including Klebsiella pneumoniae(88.0%),Klebsiella aerogenes(5.8%),Klebsiella oxytoca(5.7%),and other Klebsiella species(0.6%).Klebsiella strains were mainly isolated from respiratory tract(48.49±5.32)%.Internal medicine(22.79±3.28)%,surgery(17.98±3.10)%,and ICU(14.03±1.39)%were the top 3 departments where Klebsiella strains were most frequently isolated.K.pneumoniae isolates showed higher resistance rate to most antimicrobial agents compared to other Klebsiella species.Klebsiella isolates maintained low resistance rates to tigecycline and polymyxin B.ESBLs-producing K.pneumoniae and K.oxytoca strains showed higher resistance rates to all the antimicrobial agents tested compared to the corresponding ESBLs-nonproducing strains.The K.pneumoniae and carbapenem-resistant K.pneumoniae(CRKP)strains isolated from ICU patients demonstrated higher resistance rates to majority of the antimicrobial agents tested than the strains isolated from non-ICU patients.The CRKP strains isolated from adult patients had higher resistance rates to most of the antimicrobial agents tested than the corresponding CRKP strains isolated from paediatric patients.Conclusions The prevalence of carbapenem-resistant strains in Klebsiella isolates increased greatly from 2015 to 2021.However,the Klebsiella isolates remained highly susceptible to tigecycline and polymyxin B.Antimicrobial resistance surveillance should still be strengthened for Klebsiella strains.