1.Percutaneous coronary intervention vs . medical therapy in patients on dialysis with coronary artery disease in China.
Enmin XIE ; Yaxin WU ; Zixiang YE ; Yong HE ; Hesong ZENG ; Jianfang LUO ; Mulei CHEN ; Wenyue PANG ; Yanmin XU ; Chuanyu GAO ; Xiaogang GUO ; Lin CAI ; Qingwei JI ; Yining YANG ; Di WU ; Yiqiang YUAN ; Jing WAN ; Yuliang MA ; Jun ZHANG ; Zhimin DU ; Qing YANG ; Jinsong CHENG ; Chunhua DING ; Xiang MA ; Chunlin YIN ; Zeyuan FAN ; Qiang TANG ; Yue LI ; Lihua SUN ; Chengzhi LU ; Jufang CHI ; Zhuhua YAO ; Yanxiang GAO ; Changan YU ; Jingyi REN ; Jingang ZHENG
Chinese Medical Journal 2025;138(3):301-310
BACKGROUND:
The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China.
METHODS:
This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences.
RESULTS:
Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n = 278] vs . 43.7% [ n = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses.
CONCLUSION
This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans
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Percutaneous Coronary Intervention/methods*
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Male
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Female
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Coronary Artery Disease/drug therapy*
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Retrospective Studies
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Renal Dialysis/methods*
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Middle Aged
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Aged
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China
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Proportional Hazards Models
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Treatment Outcome
2.Nonsurgical Treatment of Chronic Subdural Hematoma Patients with Chinese Medicine: Case Report Series.
Kang-Ning LI ; Wei-Ming LIU ; Ying-Zhi HOU ; Run-Fa TIAN ; Shuo ZHANG ; Liang WU ; Long XU ; Jia-Ji QIU ; Yan-Ping TONG ; Tao YANG ; Yong-Ping FAN
Chinese journal of integrative medicine 2025;31(10):937-941
3.Recent Progress in Detection Techniques of Thyroglobulin
Yue WU ; Yong-Jie SHAN ; Shou-Ji CAO ; Shi-Qi JI ; Bo-Wen CHEN ; Xian-Ying MENG ; Zhen-Xin WANG
Chinese Journal of Analytical Chemistry 2024;52(9):1234-1243
Thyroglobulin(Tg)is a glycoprotein with large molecular weight,which is synthesized and secreted into the bloodstream by thyroid follicular cells.The concentration level of Tg in blood is one of the important biomarkers for diagnosis of thyroid diseases such as differentiated thyroid cancer(DTC),subacute thyroiditis,etc..Radioimmunoassay(RIA),immunoradiometric assay(IRMA),and immunochemiluminescence assay(ICMA)are the main clinical methods for detecting Tg.Recently,for meeting the requirement of detecting low concentration of Tg in blood after thyroid clearance surgery,researchers have developed various high-performance analysis methods for detecting Tg concentration in blood samples,providing new assays for thyroid disease screening and efficacy evaluation.This review summarized the analysis methods of Tg,especially the new progresses in the biosensors for monitoring low concentration of Tg in blood during the past five years.The current technical challenges of these methods in clinical applications were briefly discussed,which might provide useful information for developing new liquid biopsy methods of DTC.
4.Two-sample Mendelian randomization analysis of the causal relationship between T.gondii infection and encephalitis
Yifan Li ; Shuyan Sheng ; Mengyun Wu ; Yongsheng Ji ; Yong Yao
Acta Universitatis Medicinalis Anhui 2024;59(1):28-33
Objective :
Mendelian randomization analysis was used to explore the causal relationship of T.gondii in- fection and the cyst distribution and inflammation in brain tissue by immunohistochemistry.
Methods :
Genome- wide association analysis data of T.gondii infection and encephalitis were obtained ,single nucleotide polymor- phisms (SNPs) were selected,Mendelian randomization analysis was conducted by inverse variance weighting,and the causal relationship between T.gondii infection and encephalitis was evaluated by OR value and 95% CI.Quality control was carried out by using heterogeneity test,horizontal multi-efficiency test and leave-one-out sensitivity test. Immunohistochemical staining was performed using brain sections of mice infected with tissue cysts of Wh6 strain for image analysis using Image J software.
Results :
A total of 29 SNPs were associated with toxoplasmic encephalitis. The results of IVW method suggested that T.gondii infection made encephalitis risk 0. 98 times higher ( OR = 0. 98, 95% CI = 0. 76 to 1. 27) ,indicating no causal relationship between the two.The quality control results suggested that the selected SNPs were stable and reliable.Toxoplasma cysts were distributed in various parts of the brain tis- sue.
Conclusion
T.gondii infection and encephalitis are related,but there is no sufficient evidence to prove the causal relationship between the two.
5.Clinical trial of cis-atracurium in the treatment of patients with hysteroscopic surgery
Miao JI ; Yong-Zhi ZHANG ; Yan WU ; Xue-Feng DENG
The Chinese Journal of Clinical Pharmacology 2024;40(18):2640-2644
Objective To explore the influence of intravenous injection of cis-atracurium during anesthesia induction on QT interval(QTc),hemodynamics and oxidative stress level in patients undergoing hysteroscopic surgery.Methods Patients undergoing hysteroscopic surgery were classified into control group and treatment group.The treatment group was given intravenous injection of 2 mg·kg-1 of propofol emulsion injection+3 μg·kg-1 of fentanyl+0.15 mg·kg-1 of cis-atracurium besylate for injection,while the control group was given intravenous injection of 2 mg·kg-1 of propofol emulsion injection+3 μg·kg-1 of fentanyl+the same amount of 0.9%NaCl as treatment group.Laryngeal mask was placed in the two groups after 3 min,and laryngeal mask ventilation was given for general anesthesia.QTc value and hemodynamics[mean arterial pressure(MAP)]were detected before entering the room(T0),after 1 min of propofol+fentanyl intravenous injection(T1),after 1 min of cis-atracurium besylate for injection/0.9%NaCl(T2),immediately after laryngeal mask insertion(T3)and after 3 min of laryngeal mask insertion(T4).The anesthetic effect,postoperative dynamic pain visual analogue scale(VAS)score and sore throat were counted.The levels of serum oxidative stress indicators[superoxide dismutase(SOD),malondialdehyde(MDA)]at T0 and at the end of surgery(T5)were detected,and the safety was assessed.Results Fifty-two cases in treatment group and forty-four cases in control group were included.There was no statistical difference in QTc value between treatment group and control group at T0-T4(all P>0.05).The MAP values in treatment group and control group at T3 were(84.22±5.96)and(86.78±6.11)mmHg,respectively,with a statistical difference(P<0.05).The laryngeal mask insertion times in treatment group and control group were(17.02±2.47)and(19.52±2.34)s;the spontaneous breathing recovery times were(8.51±1.84)and(6.18±1.15)min;the eye opening time were(10.49±2.42)and(9.53±2.17)min;the laryngeal mask removal time were(11.16±2.16)and(10.21±2.34)min;the incidence rates of postoperative sore throat were 13.46%and 31.82%,and the differences were statistically significant(all P<0.05).The levels of SOD in treatment group and control group at T5 were(36.63±4.17)and(33.26±4.86)nU·mL-1;the levels of MDA were(7.42±2.14)and(8.59±2.83)mmol·L-1(all P<0.05).The adverse drug reactions in treatment group were mainly nausea and vomiting,respiratory depression and hypotension,and the adverse drug reactions in control group were mainly nausea and vomiting and respiratory depression.The incidence rates of adverse reactions in treatment group and control group were 13.46%and 11.36%,respectively(P>0.05).Conclusion Cis-atracurium intravenous injection during anesthesia induction has no influence on QTc in patients undergoing hysteroscopic surgery,and has advantages in stabilizing intraoperative hemodynamics,reducing postoperative sore throat and improving serum oxidative stress indicators.
6.Bioinformatics Analysis of Modified Lugen Formula in the Treatment of Influenza:Perspectives from the Virus-Host Interaction Network
Peng WU ; Yong JIANG ; Sha LI ; Wenyu WU ; Lichun JI ; Haidu HONG ; Gao ZHANG ; Huiting HUANG ; Xiaohong LIU ; Shaofeng ZHAN ; Yanni LAI
Traditional Chinese Drug Research & Clinical Pharmacology 2024;35(3):358-367
Objective To explore the therapeutic mechanism of Modified Lugen Formula(Phragmitis Rhizoma,Cicadae Periostracum,Batryticatus Bombyx,Lonicerae Japonicae Flos,Glycyrrhiza,Menthae Haplocalycis Herba,Notopterygii Rhizoma et Radix,Puerariae Lobatae Radix,Bupleuri Radix)in treating influenza from the virus-host interaction interface.Methods The phytocompounds were first collected from the HERB database,and then potential active compounds were screened out by Lipinski's rules of five.The targets of active compounds were further predicted through the SwissTargetPrediction platform.Differentially expressed genes(DEGs)were determined from the human H1N1 influenza dataset GSE90732 available in the Gene Expression Omnibus database(GEO).H1N1-Homo sapiens-related protein-protein interactions(PPIs)were gathered from the Pathogen-Host Interaction Search Tool(PHISTO).The above mentioned bioinformatic datasets were integrated.Then a PPI network and a Formula-virus-host interaction network were constructed using Cytoscape.Functional enrichment analyses were performed by using R software.Finally,molecular docking was carried out to evaluate the binding activities between the key compounds and targets.Results A total of 1 252 active compounds,1 415 targets,951 influenza-related DEGs,and 10 142 H1N1-Homo sapiens-related PPIs were obtained.There were 72 intersection targets between the Modified Lugen Formula and influenza.Functional enrichment analyses showed that these targets are closely related to host defense and programmed cell death.The network topological analysis showed that active compounds in the Modified Lugen Formula,such as oleanolic acid,γ-undecalactone,and longispinogenin,regulate viral proteins M2,NA,NS1,and HA and/or the host factors HSP90AA1,NRAS,and ITGB1,thus exert therapeutic effect.Molecular docking results confirmed that these compounds had a good binding ability with the targets.Conclusion Multiple active ingredients in Modified Lugen Formula directly target influenza virus proteins and/or host factors,thereby play an anti-influenza role in multiple dimensions,including inhibiting virus replication,regulating host defense and cell death.This study provides a theoretical basis for further experimental analysis of the action mechanism of the Modified Lugen Formula in treating influenza.
7.Clinical Features and Prognosis of Patients with Primary Extranodal Diffuse Large B-Cell Lymphoma
Si YI ; Xia LI ; Huan TAO ; Hong-Bing MA ; Jie JI ; Yu WU ; Ting NIU ; Yong-Qian JIA
Journal of Experimental Hematology 2024;32(6):1711-1718
Objective:To investigate the clinical features,gene mutation profile,efficacy and prognostic factors of primary extranodal diffuse large B-cell lymphoma(EN-DLBCL).Methods:A retrospective analysis was performed for 382 patients with primary EN-DLBCL with complete clinical data who were treated in West China Hospital from January 2013 to January 2023,and their clinical characteristics,gene mutation profile,efficacy and prognostic factors were analyzed.Results:The median age of the 382 patients with EN-DLBCL was 56 (18-89 )years old.The male-to-female ratio was 1.12∶1,and the most common primary sites were gastrointestinal tract (31.7%),Wechsler ring (19. 1%)and breast gland (7.1%).A total of 51 gene mutations were fund,and the most common frequencies of gene mutations were TP53 (32.5%),MYD88 (32.5%),and CD79B (30.0%).The median follow-up was 63 months,and the 5-year progression-free survival (PFS)rate was 74.5% and the 5-year overall survival (OS)rate was 89.6%. The adverse factors on PFS were as follows:>1 extranodal sites involvement (P<0.001),P53≥50%(P<0.001),hyper double expression(hDEL)of C-myc>50%/Bcl-2>70%(P<0.001).The adverse factors affecting the OS of patients were as follows:>1 extranodal sites involvement (P<0.001),P53≥50%(P<0.001),hDEL(P<0.001). Chemotherapy combined with local radiotherapy could improve PFS (P=0.041)and OS (P=0.003),while R-CHOP+X (molecule agents as BTKi、HDACi、Lenalidomide)failed to show a significant difference in PFS (P=0.075)and OS (P=0.767 ).Among the 40 patients who underwent next-generation sequencing at high risk,there was no significant in PFS (P=0.849)and OS (P=0.500)of patients with positive MYD88 and/or CD79B mutations (MCD subtype)treated with BTKi and patients with negative MYD88 and CD79B mutations.Conclusion:Primary EN-DLBCL can involve multiple organs or tissue sites.TP53,MYD88,and CD79B are the most common gene mutations.The efficacy of BTKi in patients with positive MCD subtypes at intermediate and high risk is not inferior to that in MCD-negative control patients.
8.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.
9.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.
10.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.


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