1.Clinical Observation on the Effect of Postmenstrual Proliferative Prescription Through Replenishing Qiand Blood on Ovulation Induction in Patients with Polycystic Ovarian Syndrome
Zhen YANG ; Mou CHEN ; Shao-Ru JIANG ; Mao-Zhen LIN
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(4):894-899
Objective To observe the effects of Postmenstrual Proliferative Prescription(mainly composed of Codonopsis Radix,Atractylodis Macrocephalae Rhizoma,Poria,Rehmanniae Radix Praeparata,Paeoniae Radix Alba,Angelicae Sinensis Radix,Chuanxiong Rhizoma,Cervi Cornu Degelatinatum,Corni Fructus,Cuscutae Semen,and Eucommiae Cortex)through replenishing qi and blood on the ovulation rate and pregnancy rate in patients with ovulatory dysfunction infertility caused by polycystic ovarian syndrome(PCOS)during ovulation-induction treatment,and to explore the therapeutic effects and possible therapeutic mechanism.Methods Sixty patients with ovulatory dysfunction infertility due to PCOS were randomly divided into a treatment group and a control group,with 30 patients in each group.The control group was given Clomifene Citrate Capsules to promote ovulation,and the treatment group was given Postmenstrual Proliferative Prescription on the basis of the ovulation-induction program of the control group starting from the fifth day of menstruation or progesterone withdrawal bleeding.The two groups were treated for one menstrual cycle as a course of treatment.The changes in the serum sex hormones of estradiol(E2),follicle-stimulating hormone(FSH),luteinizing hormone(LH),and progesterone(P)on the 2nd to 5th day of menstruation,as well as the changes in serum growth differentiation factor 9(GDF9)and bone morphogenetic protein 15(BMP15)levels on the 2nd to 5th day of menstruation and on the day of human chorionic gonadotropin(HCG)injection were observed in the two groups.Moreover,the ovulation rate,pregnancy rate and clinical efficacy of the patients in the two groups were analyzed.Results(1)No statistically significant differences in serum levels of sex hormones E2,FSH,LH and P on the 2nd to 5th day of menstruation were shown between the two groups of patients(P>0.05).(2)On the 2nd to 5th day of menstruation and on the day of HCG injection,there were no significant differences in the serum GDF9 and BMP15 levels between the two groups(P>0.05).(3)The ovulation rate and pregnancy rate in the treatment group were 93.33%(28/30)and 26.67%(8/30)respectively,which were significantly higher than 70.00%(21/30)and 13.33%(4/30)in the control group.And the differences tested by chi-square test were statistically significant between the two groups(P<0.05).(4)The total effective rate of the treatment group was 93.33%(28/30),and that of the control group was 70.00%(21/30).The intergroup comparison(tested by rank sum test)showed that the therapeutic efficacy of the treatment group was significantly superior to that of the control group,and the difference was statistically significant(P<0.05).Conclusion Postmenstrual Proliferative Prescription through replenishing qi and blood can improve the ovulation rate and pregnancy rate during ovulation-induction treatment in the patients with ovulatory dysfunction infertility due to PCOS.It is indicated that Postmenstrual Proliferative Prescription can enhance the quality of the oocytes and the potential of embryo implantation during the ovulation-induction treatment.
2.Differences of gene expression profiles of different subpopulations of exhausted T cells in patients with active pulmonary tuberculosis
Weifang LIN ; Jingyu ZHOU ; Huaxin CHEN ; Siran LIN ; Zhe ZHOU ; Zhangyufan HE ; Yixuan YANG ; Xiaoqian HU ; Yiting TANG ; Yuanyuan LIU ; Lingyun SHAO
Chinese Journal of Infectious Diseases 2024;42(2):91-97
Objective:To explore the differences of gene expression profiles of precursors of exhausted T cells (Tpex) and terminal exhausted T cells (Tex) in the peripheral blood of patients with active pulmonary tuberculosis (ATB).Methods:Twenty-five cases of ATB, 13 cases of latent tuberculosis infection (LTBI) and 10 health controls were enrolled from January 2021 to October 2022 in the Fifth People′s Hospital of Wuxi. The proportions of Tpex and Tex in the peripheral blood mononuclear cells (PBMCs) of the three groups were detected by flowcytometry. PBMCs of ATB were separated into Tpex and Tex by fluorescence-activated cell sorting. RNA-sequencing was performed and up-regulated and down-regulated genes were screended. Differently expressed genes were analyzed by gene set enrichment analysis of gene ontology (GO) to find regulatory pathways affecting cell metabolism and function. Wilcoxon matched-pairs signed rank test, Kruskal-Wallis test and Dunn multiple comparsion test were used for statistical analysis.Results:The proportion of Tpex in ATB group was 2.86%(1.74%), which was lower than 7.93%(6.16%) of Tex, and the difference was statistically significant ( Z=-3.91, P<0.001). The proportions of Tpex and Tex in LTBI group were 9.47%(6.26%) and 7.43%(5.48%), respectively, and the difference was not statistically significant ( Z=-0.93, P=0.345). The proportions of Tpex and Tex in healthy control group were 8.42%(2.69%) and 6.49%(5.14%), respectively, with no statistical significance ( Z=-1.36, P=0.170). There was statistical difference of the proportion of Tpex among the three groups ( H=21.93, P<0.001), and the proportion of Tpex in ATB group was lower than those in LTBI and heathy control groups, and the differences were both statistically significant ( Z=4.16, P<0.001 and Z=3.34, P=0.003, respectively), while the proportions of Tex in these three groups were not statistically different ( H=2.17, P=0.338). Compared with Tex, the gene expressions of memory markers, such as B-cell lymphoma 2 of Tpex were up-regulated, and the gene expressions of exhausted markers, such as lymphocyte activation gene 3 were down-regulated. In terms of cellular metabolism, the gene expressions of mitochondrial protein complex, mitochondrial matrix and oxidative phosphorylation of Tpex were up-regulated, and the gene expressions of glycolysis were down-regulated. The gene expressions of pyruvate metabolism in Tex were up-regulated, and the gene expressions of CD4 + T lymphocyte activation and differentiation and glycolytic process in Tpex were down-regulated. Conclusions:Tpex in ATB express more characteristics of memory cells and less features of exhausted markers compared with Tex, and the function of mitochondria of Tpex preserves well.
3.Injectable Fluorescent Bi2S3/Au Nanoclusters Hydrogel for Postoperative Photothermal Therapy of Tumor and Promoting Wound Healing
Zhuo LI ; Shao-Xian YANG ; Rui LIU ; Zheng-Lin YANG ; Yu-Yu CAO ; Hong-Mei SUN
Chinese Journal of Analytical Chemistry 2024;52(7):955-963
Herein,a new multifunctional hydrogel wound dressing was fabricated for the first time based on the crosslinking between catechol-modified chitosan(CHI-C)and bismuth sulfide-gold nanocluster nanoparticles(Bi2S3-Au NCs NPs)by simple stirring at room temperature within 1 min.Benefit from the good biocompatibility of CHI-C and excellent photothermal abilily of Bi2S3-Au NCs NPs,it could achieve postoperative photothermal therapy of tumor residual tissue and wound healing.More importantly,the as-prepared hydrogel with fluorescent property could accurately monitor the postoperative wound filling in real-time,which was critical to wound healing,especially for irregular wounds.The smart hydrogel was expected to provide a new perspective for preventing and reducing cancer recurrence and wound infection after surgery.
4.Objective Examinations Analysis of Children with Recurrent Vertigo
Nanxian LIU ; Lin HAN ; Aiying ZHANG ; Yuliang ZHAO ; Jing XUE ; Yijun SUN ; Zeyin YANG ; Yongliang SHAO
Journal of Audiology and Speech Pathology 2024;32(6):516-519
Objective To identify meaningful objective examination methods by analyzing the results of vari-ous objective examinations of children with recurrent vertigo(RVC).Methods Fifty children with RVC(29 in ver-tigo attacking group,21 in vertigo non-attacking group)and 20 children without RVC were selected.All partici-pants underwent a series of relevant objective examinations,the results of each examination were statistically ana-lyzed and the characteristic differences of each examination between the RVC group and the control group were ob-tained.Results ① The abnormal rate of sleep SpO2,high stimulation rate ABR and AHI in the RVC group were significantly higher than those in the control group(P<0.05).② The abnormal rate of sleep SpO2 and high stimu-lation rate ABR in the vertigo attacking group were higher than those in the vertigo non-attacking group.There was a statistical difference between the two groups(P<0.05).③ Pure tone audiometry(or conditioned play audiome-try),acoustic immittance,cranial MRI,positional test and vHIT were normal in both RVC group and normal con-trol group.Conclusion Continuous sleep SpO2 and high stimulation rate ABR are correlated with RVC,especially RVC during vertigo attacking.AHI is correlated with RVC,but not with the onset of vertigo.Clinically,continu-ous sleep SpO2 monitoring,PSG and high stimulation rate ABR can be used as auxiliary examinations for the diagno-sis of RVC.
5.Clinical features of nontuberculous mycobacteria disease patients with positive anti-interferon γ autoantibody
Zhijie QIN ; Siran LIN ; Ting WANG ; Wencan YANG ; Xiaoqian HU ; Shiyong WANG ; Ran SU ; Peidong CHEN ; Lingyun SHAO
Chinese Journal of Infectious Diseases 2024;42(4):233-238
Objective:To investigate the clinical features of nontuberculous mycobacteria (NTM) disease patients with positive anti-interferon γ (IFN-γ) autoantibody.Methods:Forty-three adult human immunodeficiency virus-uninfected patients with NTM disease hospitalized in Huashan Hospital, Fudan University and Jing′an Branch, Huashan Hospital, Fudan University from July 2021 to August 2023 were included. Clinical data and NTM strain information of the patients were collected. The plasma levels of anti-IFN-γ autoantibodies were detected by enzyme-linked immunosorbent assay, and the patients were divided into antibody positive group and antibody negative group. The clinical characteristics and laboratory examination results between the two groups were compared. The independent sample t test, Mann-Whitney U test and chi-square test were used for statistical analysis. Multivariate logistic regression analysis was used to determine the correlation factors of positive anti-IFN-γ autoantibodies. Results:Among the 43 patients, 13 cases (30.2%) were positive for anti-IFN-γ autoantibodies and 30 cases (69.8%) were negative. The proportions of patients with NTM disseminated infection (9/13 vs 30.0%(9/30))and combined bacterial infection (5/13 vs 6.7%(2/30)) in antibody positive group were both higher than those in antibody negative group, and the differences were both statistically significant ( χ2=5.74 and 6.73, respectively, both P<0.05). The white blood cell count, platelet count, the proportion of platelet count >350×10 9/L of antibody positive patients were all higher than those of antibody negative group, while the white sphere ratio was lower than that of antibody negative group, with statistical significance ( t=2.42, 3.02, χ2=9.77 and t=3.66, respectively, all P<0.05). Erythrocyte sedimentation rate, C-reactive protein, procalcitonin, globulin, immunoglobulin G, immunoglobulin A and immunoglobulin M in antibody positive patients were all higher than those in antibody negative group, and the differences were all statistically significant ( U=99.50, 112.00, 115.50, 61.50, 76.50, 99.00 and 83.00, respectively, all P<0.05). Mycobacterium abscessus complex (seven cases and 11 cases, respectively) and Mycobacterium avium complex (five cases and 13 cases, respectively) were the main isolated strains in antibody positive and antibody negative patients. Multivariate logistic regression analysis showed that combined with bacterial infection (odds ratio ( OR)=21.83, 95% confidence interval ( CI) 1.94 to 245.71), NTM disseminated infection ( OR=7.64, 95% CI 1.10 to 53.26), platelet count>350×10 9/L ( OR=14.31, 95% CI 1.91 to 107.04) were risk factors for anti-IFN-γ autoantibodies positive (all P<0.05). Conclusions:Patients with positive anti-IFN-γ autoantibodies have higher probability of having elevated levels of systemic inflammation. Anti-IFN-γ autoantibody test is recommended for patients with NTM disease who present with co-bacterial infection, NTM disseminated infection, or elevated platelet count (>350×10 9/L).
6.Research on diagnostic value of thrombin-antithrombin complex,thrombomodulin and tissue plasminogen activator-inhibitor complex for COVID-19
Fengwei GAO ; Lin ZHOU ; Xiaobao SHAO ; Hua WANG ; Yuan YANG ; Xin CHEN ; Yi LIU ; Peiyuan ZHU
Chinese Journal of Clinical Laboratory Science 2024;42(10):748-753
Objective To retrospectively analyze the diagnostic value of thrombin-antithrombin complex(TAT),thrombomodulin(TM),and tissue plasminogen activator-inhibitor complex(t-PAIC)in severe cases of corona virus disease 2019(COVID-19).Methods A cohort of 79 patients clinically diagnosed with COVID-19 was retrospectively assembled and categorized into two groups based on disease severity:non-severe(n=51)and severe(n=28).In this study the differences of coagulation function and inflamma-tory marker levels between the two groups were compared.The correlations of TAT,TM and t-PAIC with other biomarkers were investi-gated.The diagnostic values of all the markers for severe COVID-19 were assessed.Results The patients of severe COVID-19 exhibi-ted significantly higher levels of TAT,TM,and t-PAIC compared to those of non-severe group(P<0.001).The levels of TAT,TM and t-PAIC showed notable positive correlation with other biomarkers.TAT demonstrated the strongest positive correlation with the level of D-dimer(r=0.786,P<0.001).Binary logistic regression analysis identified TAT(OR=1.346,P<0.05)and t-PAIC(OR=1.128,P<0.05)were independent risk factors in term of severe COVID-19.The combined ROC curve for TAT,TM and t-PAIC revealed high diagnostic efficacy in severe cases with the area under the curve(AUCROC)were 0.918,and the sensitivity and specificity were of 75%and 94.1%,respectively.Conclusion The results of combined measurement of TAT,TM and t-PAIC effectively demonstrates its diagnostic value in identifying severity and stratification of COVID-19 cases and may have important clinical significance for assessment of the severity and prediction of the prognosis.
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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