1.Value of intraperitoneal soluble interleukin-6 receptor in predicting ultrafiltration insufficiency in peritoneal dialysis patients
Han LI ; Wei NIU ; Xinyu SU ; Yiwei SHEN ; Hao YAN ; Zhenyuan LI ; Zanzhe YU ; Jiangzi YUAN ; Na JIANG ; Jiaying HUANG ; Zhaohui NI ; Leyi GU ; Wei FANG
Chinese Journal of Nephrology 2024;40(6):442-450
Objective:To investigate the value of soluble interleukin-6 (IL-6) receptor (sIL-6R) level in predicting ultrafiltration insufficiency in peritoneal dialysis (PD) patients.Methods:It was a prospective cohort study. The patients who received continuous ambulatory PD and regular follow-up between November 2016 and July 2018 in the PD Center of Renji Hospital, School of Medicine, Shanghai Jiao Tong University were enrolled. Enzyme-linked immunosorbent assay was used to determine dialysate sIL-6R and its appearance rate (AR) was calculated. Patients were divided into high sIL-6R AR group and low sIL-6R AR group according to median value of sIL-6R AR and prospectively followed up until death, PD cessation, or the end of the study (December 31, 2022). Multiple linear regression was used to analyze the related factors of sIL-6R AR. Kaplan-Meier method and log-rank test were used to compare the survival rate difference of ultrafiltration insufficiency between high sIL-6R AR group and low sIL-6R AR group. Multivariate Cox regression and multivariate competing risk models were used to assess the risk factors associated with occurrence of ultrafiltration insufficiency.Results:A total of 198 PD patients were enrolled, including 115 (58.1%) males, with age of (54.9±13.7) years old and PD duration of 22.5 (6.6, 65.0) months. The sIL-6R AR of the cohort was 2 094.7 (1 672.4, 2 920.9) pg/min. Compared with low sIL-6R AR(<2 094.7 pg/min)group, high sIL-6R AR(>2 094.7 pg/min)group had older age ( t=-3.269, P=0.001), higher body mass index ( t=-3.248, P=0.001), proportion of combined diabetes mellitus ( χ2=8.890, P=0.003), 24 h glucose exposure ( Z=-2.257, P=0.024), 24 h ultrafiltration capacity ( Z=-2.515, P=0.012), 4 h dialysate creatinine to serum creatinine ratio ( t=-2.609, P=0.010), mass transfer area coefficient of creatinine ( Z=-2.308, P=0.021), IL-6 AR ( Z=-3.533, P<0.001) and solute glycoprotein 130 AR ( Z=-8.670, P<0.001), and lower serum albumin ( t=2.595, P=0.010) and residual renal function ( t=2.133, P=0.033). Multiple linear regression analysis showed that body mass index ( β=0.194, P=0.005), serum albumin ( β=-0.215, P=0.002) and dialysate lg[IL-6 AR] ( β=0.197, P=0.011) were independently correlated with sIL-6R AR. By the end of the study, 57 (28.8%) patients developed ultrafiltration insufficiency. Kaplan-Meier analysis showed that high sIL-6R AR group had a significantly inferior ultrafiltration insufficiency-free survival rate than that in low sIL-6R AR group (log-rank χ 2=5.375, P=0.020). Multivariate Cox regression analysis and multivariate competing risk models showed that high dialysate sIL-6R AR (>2 094.7 pg/min) was an independent influencing factor of ultrafiltration insufficiency ( HR=2.286 , 95% CI 1.254-4.165 , P=0.007 ; SHR=2.074, 95% CI 1.124-3.828, P=0.020) in PD patients. Conclusions:Dialysate sIL-6R level was associated with body mass index, serum albumin and dialysate IL-6 level. Dialysate sIL-6R may be a predictive factor of ultrafiltration insufficiency in PD patients.
2.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.
3.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.
4.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.
5.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.
6.Changing resistance profiles of Staphylococcus isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yuling XIAO ; Mei KANG ; Yi XIE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Ping JI ; Fengbo ZHANG ; 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 ; 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(5):570-580
Objective To investigate the changing distribution and antibiotic resistance profiles of clinical isolates of Staphylococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Staphylococcus according to the unified protocol of CHINET(China Antimicrobial Surveillance Network)using disk diffusion method and commercial automated systems.The CHINET antimicrobial resistance surveillance data from 2015 to 2021 were interpreted according to the 2021 CLSI breakpoints and analyzed using WHONET 5.6.Results During the period from 2015 to 2021,a total of 204,771 nonduplicate strains of Staphylococcus were isolated,including 136,731(66.8%)strains of Staphylococcus aureus and 68,040(33.2%)strains of coagulase-negative Staphylococcus(CNS).The proportions of S.aureus isolates and CNS isolates did not show significant change.S.aureus strains were mainly isolated from respiratory specimens(38.9±5.1)%,wound,pus and secretions(33.6±4.2)%,and blood(11.9±1.5)%.The CNS strains were predominantly isolated from blood(73.6±4.2)%,cerebrospinal fluid(12.1±2.5)%,and pleural effusion and ascites(8.4±2.1)%.S.aureus strains were mainly isolated from the patients in ICU(17.0±7.3)%,outpatient and emergency(11.6±1.7)%,and department of surgery(11.2±0.9)%,whereas CNS strains were primarily isolated from the patients in ICU(32.2±9.7)%,outpatient and emergency(12.8±4.7)%,and department of internal medicine(11.2±1.9)%.The prevalence of methicillin-resistant strains was 32.9%in S.aureus(MRSA)and 74.1%in CNS(MRCNS).Over the 7-year period,the prevalence of MRSA decreased from 42.1%to 29.2%,and the prevalence of MRCNS decreased from 82.1%to 68.2%.MRSA showed higher resistance rates to all the antimicrobial agents tested except trimethoprim-sulfamethoxazole than methicillin-susceptible S.aureus(MSSA).Over the 7-year period,MRSA strains showed decreasing resistance rates to gentamicin,rifampicin,and levofloxacin,MRCNS showed decreasing resistance rates to gentamicin,erythromycin,rifampicin,and trimethoprim-sulfamethoxazole,but increasing resistance rate to levofloxacin.No vancomycin-resistant strains were detected.The prevalence of linezolid-resistant MRCNS increased from 0.2%to 2.3%over the 7-year period.Conclusions Staphylococcus remains the major pathogen among gram-positive bacteria.MRSA and MRCNS were still the principal antibiotic-resistant gram-positive bacteria.No S.aureus isolates were found resistant to vancomycin or linezolid,but linezolid-resistant strains have been detected in MRCNS isolates,which is an issue of concern.
7.Mechanism of Mongolian drug Naru-3 in initiation of neuroinflammation of neuropathic pain from MMP9/IL-1β signaling pathway.
Fang-Ting ZHOU ; Ying ZONG ; Yuan-Bin LI ; Ren-Li CAO ; Wu-Qiong HOU ; Li-Ting XU ; Fei YANG ; Yan-Li GU ; Xiao-Hui SU ; Qiu-Yan GUO ; Wei-Jie LI ; Hui XIONG ; Chao WANG ; Na LIN
China Journal of Chinese Materia Medica 2023;48(15):4173-4186
Neuropathic pain(NP) has similar phenotypes but different sequential neuroinflammatory mechanisms in the pathological process. It is of great significance to inhibit the initiation of neuroinflammation, which has become a new direction of NP treatment and drug development in recent years. Mongolian drug Naru-3 is clinically effective in the treatment of trigeminal neuralgia, sciatica, and other NPs in a short time, but its pharmacodynamic characteristics and mechanism of analgesia are still unclear. In this study, a spinal nerve ligation(SNL) model simulating clinical peripheral nerve injury was established and the efficacy and mechanism of Naru-3 in the treatment of NPs was discussed by means of behavioral detection, side effect evaluation, network analysis, and experimental verification. Pharmacodynamic results showed that Naru-3 increased the basic pain sensitivity threshold(mechanical hyperalgesia and thermal radiation hyperalgesia) in the initiation of SNL in animals and relieved spontaneous pain, however, there was no significant effect on the basic pain sensitivity threshold and motor coordination function of normal animals under physiological and pathological conditions. Meanwhile, the results of primary screening of target tissues showed that Naru-3 inhibited the second phase of injury-induced nociceptive response of formalin test in mice and reduced the expression of inflammatory factors in the spinal cord. Network analysis discovered that Naru-3 had synergy in the treatment of NP, and its mechanism was associated with core targets such as matrix metalloproteinase-9(MMP9) and interleukin-1β(IL-1β). The experiment further took the dorsal root ganglion(DRG) and the stage of patho-logical spinal cord as the research objects, focusing on the core targets of inducing microglial neuroinflammation. By means of Western blot, immunofluorescence, agonists, antagonists, behavior, etc., the mechanism of Naru-3 in exerting NP analgesia may be related to the negative regulation of the MMP9/IL-1β signaling pathway-mediated microglia p38/IL-1β inflammatory loop in the activation phase. The relevant research enriches the biological connotation of Naru-3 in the treatment of NP and provides references for clinical rational drug use.
Rats
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Mice
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Animals
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Matrix Metalloproteinase 9/metabolism*
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Rats, Sprague-Dawley
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Neuroinflammatory Diseases
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Interleukin-1beta/metabolism*
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Spinal Cord/metabolism*
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Signal Transduction
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Hyperalgesia/metabolism*
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Neuralgia/metabolism*
8.Regulatory Effects of Acupuncture on Gut Microbiota in Mice with Breast Cancer Related Fatigue
Zhuan LYU ; Ruidong LIU ; Kaiqi SU ; Xiaodi RUAN ; Shikui QI ; Mingyue YU ; Yiming GU ; Jing GAO ; Qi LIU ; Lu FANG ; Xiaodong FENG
World Science and Technology-Modernization of Traditional Chinese Medicine 2023;25(7):2402-2411
Objective To investigate the effect of acupuncture on fatigue improvement and gut microbiota in mice with cancer-related fatigue(CRF),and explore its possible mechanism of action.Methods The mice model of CRF of breast cancer after chemotherapy was established by tumor bearing and chemotherapy.After acupuncture intervention,fatigue was evaluated by general condition,forced swimming and open field experiment.Then 16S rDNA sequencing was used to analyze the structural abundance of gut microbiota in mice.Results Acupuncture could significantly improve the fatigue degree and general condition of the mice model of CRF of breast cancer after chemotherapy.At the same time,acupuncture could adjust the abundance of gut microbiota structure,up-regulate the abundance levels of Lactobacillus,Bacteroides,firmicutes,actinobacteria,and down-regulate the abundance levels of Proteobacteria and Staphylococcus.There were also differences in the abundance of flora structure among the groups,but the abundance of beneficial bacteria was relatively high in the acupuncture group,and the abundance of pathogenic bacteria was relatively high in the other two groups.Conclusion Acupuncture may play a role in the treatment of CRF by regulating the abundance of gut microbiota structure,increasing intestinal beneficial bacteria,inhibiting pathogenic bacteria,improving body immunity,and alleviating adverse reactions caused by chemotherapy for breast cancer.
9.Influencing factors for prognosis in patients with ST-segment elevation myocardial infarction with cardiogenic shock treated with extracorporeal membrane oxygenation combined with percutaneous coronary intervention
Li-Fang SU ; Wei ZHI ; Heng-Bo GAO ; Hao XIAO ; Chang-Chang LIU ; Qing ZHOU ; Yan-Bo WANG ; Xin-Shun GU
Chinese Journal of Interventional Cardiology 2023;31(12):904-910
Objective To investigate the influencing factors for prognosis in patients with ST-segment elevation myocardial infarction(STEMI)with cardiogenic shock(CS)treated with extracorporeal membrane oxygenation(ECMO)combined with percutaneous coronary intervention(PCI).Methods The clinical data of patients with STEMI and CS who received ECMO combined with PCI treatment in the cardiology department of our hospital from May 2019 to July 2023 were retrospectively analyzed.According to the clinical outcome,the patients were divided into death group and survival group.The clinical data of the two groups was compared.Results The study analyzed a total of 37 patients,including 34 males with an average age of(52.4±11.7)years.There were 15 survivors and 22 deaths,with a survival rate of 40.5%.Compared with the death group,the survival group had higher systolic blood pressure[(100.6±17.7)mmHg vs.(84.6±22.0)mmHg,P=0.025]and diastolic blood pressure[(64.5±11.8)mmHg vs.(54.3±16.0)mmHg,P=0.043]at admission,and longer time from shock to ECMO support[4.0(3.0,10.0)h vs.2.8(1.9,5.1)h,P=0.048]and shorter time from ECMO support to passage of guide wire[1.5(0.5,3.0)h vs.3.8(2.3,7.0)h,P=0.008].The proportion of thrombolysis in myocardial infarction(TIMI)blood flow classification reaching level Ⅲ in the first frame is higher[9(60.0%)vs.5(22.7%),P=0.038].The level of serum alanine aminotransferase[261.8(100.1,944.9)U/L vs.106.6(27.4,193.3)U/L,P=0.033]and shorter time from aspartate aminotransferase[753.6(432.7,1533.0)U/L vs.244.7(113.7,594.3)U/L,P=0.009]in the death group are significantly higher than that in the survival group.Conclusions This study suggests that the time from ECMO support and ECMO support to passage of guide wire,and the first frame TIMI blood flow grading are important factors affecting the prognosis of STEMI patients with CS treated with ECMO combined with PCI.
10.Analysis of the real situation of medication in the population with gout achieving T2T indicators: a multicentre real-world study
Weiqin GAO ; Xuezhong GONG ; Yuanyuan ZHANG ; Xingchen DU ; Ping JIANG ; Fengyuan GUAN ; Ying LU ; Xiao SU ; Hongze JIANG ; Hongbin LI ; Yongfei FANG ; Hengli ZHAO ; Jiangyun PENG ; Mingli GAO ; Li SU ; Fang HE ; Qingwen TAO ; Chunrong HU ; Peng LI ; Zeguang LI ; Yuelan ZHU ; Ying GU ; Ming ZHANG ; Rongsheng WANG ; Ting JIANG ; Xiaolin YANG ; Qi ZHU ; Quan JIANG ; Jianyong ZHANG ; Xiaolei FAN ; Yu XUE ; Dongyi HE
Chinese Journal of Rheumatology 2023;27(6):361-367
Objective:To explore the therapeutic characteristics of population with gout achieving treat-to-target (T2T) indicators through real-world research and evaluate their safety.Methods:A total of 3 287 patients diagnosed with gout by rheumatologists in 21 first-class tertiary hospitals in 10 provinces, municipalities, and autonomous regions in China from January 2015 to December 2021 were included in this polycentric cross-sectional study. The database included patients′ general information, disease characteristics, and clinical application of traditional Chinese and Western medicine treatment measures. SPSS and Excel software were used for data analysis. Frequency analysis, cluster analysis, and factor analysis were used to summarize the characteristics and rules of treatment measures for patients with gout who achieved the target after treatment. The occurrence of adverse events (AE) was recorded during treatment.Results:After treatment, 691 visits (7%) achieved the serum urate (SUA) target, and the most frequent use of urate-lowering therapy (ULT) was febuxostat, followed by benzbromarone. The most common treatment options were following: GroupⅠ: traditional Chinese medicine (TCM) decoction-TCM external treatment-physical exercise-proprietary Chinese medicine; GroupⅡ: ferulic acid-nonsteroidal anti-inflammatory drugs (NSAIDs); Group Ⅲ: allopurinol-sodium bicarbonate-benzbromarone; Group Ⅳ: glucocorticoid-colchicine; Group Ⅴ: febuxostat. A total of 5 898 visits (60%) chieved manifestations of joint pain VAS scores target, and the most frequently used drug to control joint symptoms was NSAIDs. The frequency of use of drugs to control joint symptoms were 2 118 times (usage rate reached 35.9%), while the frequency of ULT were 2 504 times (usage rate reached 42.5%), which was higher than the joint symptom control drug. The most common treatment options were following: Group Ⅰ: proprietary Chinese medicine-TCM decoction-TCM external treatment-physical exercise; Group Ⅱ: NSAIDs-colchicine hormones; Group Ⅲ: allopurinol, Group Ⅳ: benzbromarone; Group Ⅴ: febuxostat. A total of 59 adverse events occurred during treatment.Conclusion:The proportions of gout patients who reach target serum urate level & good control of joint symptoms are both very low, and ULT and anti-inflammatory prescription patterns are very different from international guidelines, so it is necessary to strengthen the standardized management of gout patients. At the same time, life intervention measures account for a certain proportion of the treatment plans for the T2T population, and further exploration is needed.

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