1.Rate and risk factors of tip displacement of umbilical venous catheterization at different indwelling time points in preterm infants
Keyue LI ; Xu ZHENG ; Jingjie LUO ; Zixin YANG ; Juan DU ; Mingyan HEI
Chinese Journal of Pediatrics 2024;62(10):975-980
Objectives:To investigate the rate and risk factors of tip displacement of umbilical venous catheterization (UVC) in preterm infants.Methods:This was a multicenter cohort study. Study population were preterm infants admitted to 44 tertiary hospitals in China between October 2019 and August 2021. Demographic information, general clinical data, UVC indwelling conditions and related complications were collected. The primary outcome was the rate of UVC tip displacement. The observation time points were 2 d and 7 d after UVC. They were grouped according to UVC displacement, gestational age, and birth weight. Binary Logistic regression was used to analyze the risk factors of UVC tip displacement.Results:The 2 086 preterm infants had a gestational age of (29.9±2.3) weeks and a birth weight of (1 248±298) g. There were 1 106 male preterm infants (53.0%). The rate of UVC displacement at 2 d and 7 d were 34.6% (721/2 086) and 33.6% (494/1 470), respectively, with no statistically significant difference ( χ2=0.35, P=0.533). Univariate analysis indicated that male infants, small gestational age, low birth weight and small catheter diameter were all risk factors for UVC tip displacement at the 2 d time point (all P<0.05). Multivariate analysis showed that small catheter diameter was an independent risk factor for tip displacement at both 2 d ( OR=0.47, 95% CI 0.34-0.66) and 7 d ( OR=0.39, 95% CI 0.25-0.59) time points (both P<0.001). Conclusions:The rate of UVC tip displacement is high in preterm infants. It should be avoided to deliberately select a small diameter catheter for UVC, and pay attention to the imaging monitoring of the tip position after UVC.
2.ADAMDEC1 regulates growth and migration of pancreatic carcinoma cells through Wnt/β-catenin signaling pathway
Xiaoyong HUANG ; Xinyue FAN ; Xiangrong XU ; Xiaoyin LIN ; Yusi LIU ; Hai-Yan SHI ; Juan DU ; Hongmei JING
Chinese Journal of Pathophysiology 2024;40(8):1369-1377
AIM:To investigate the effect of a disintegrin and metalloproteinase(ADAM)domain-like decy-sin 1(ADAMDEC1)knockdown on the proliferation,migration and invasion of pancreatic carcinoma cells.METHODS:Expression levels of ADAMDEC1 in pancreatic carcinoma tissues were analyzed using the GEPIA and UALCAN online da-tabases.Western blot analysis was employed to detect the protein expression levels of ADAMDEC1 in pancreatic carcino-ma cell lines(MIA PaCa-2 and PANC-1)and pancreatic ductal cell line(hTERT-HPNE).The effects of ADAMDEC1 knockdown on cell proliferation,migration and invasion were evaluated using CCK-8,colony formation,wound-healing and Transwell assays.Additionally,Western blot analysis was used to detect the effects of ADAMDEC1 knockdown on the expression levels of migration and invasion markers,as well as Wnt/β-catenin signaling pathway-related proteins in pancre-atic carcinoma cells.Furthermore,a recovery experiment was conducted to assess the role of Wnt/β-catenin signaling path-way agonist CHIR-99021 in ADAMDEC1 knockdown-induced inhibition of pancreatic carcinoma cell growth and migra-tion.RESULTS:(1)ADAMDEC1 was highly expressed in pancreatic carcinoma cells.(2)Knockdown of ADAMDEC1 led to a significant reduction in the proliferation,migration and invasion of pancreatic carcinoma cells.(3)Knockdown of ADAMDEC1 resulted in increased E-cadherin protein expression and decreased levels of matrix metalloproteinase 9,N-cadherin and vimentin proteins,alongside a reduction in the expression of Wnt/β-catenin signaling pathway-related pro-teins.(4)Co-treatment of pancreatic carcinoma cells with CHIR-99021 and ADAMDEC1 small interfering RNA reversed the inhibitory effects of ADAMDEC1 knockdown on cell proliferation,migration,and invasion.CONCLUSION:ADAMDEC1 is highly expressed in pancreatic carcinoma.Targeted silencing of ADAMDEC1 has the potential to inhibit the prolifera-tion,migration and invasion of pancreatic carcinoma cells by regulating the Wnt/β-catenin signaling pathway.
3.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.
4.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.
5.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.
6.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.
7.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.
8.Comparative study of POCT instruments and Roche electrochemiluminescence instrument in detecting myocardial biomarkers
Wenjuan LIU ; Pan GUO ; Juan DU ; Herui ZHANG ; Yaping WANG ; Hailong WANG ; Jia XU ; Qi LI
China Medical Equipment 2024;21(5):16-19,25
Objective:To compare and analyze the correlation between two kinds of point-of-care testing (POCT) instruments and Roche electrochemiluminescence instrument in detecting myocardial biomarkers,so as to provide reference for the selection of POCT instruments in clinical testing. Methods:A total of twenty patient's samples were selected,which concentration range covered the reportable range of detection results. Two kinds of POCT instruments (named respectively A and B) were used to detect the concentrations of plasma myoglobin (Myo),creatine kinase isoenzyme mass (CK-MB mass),cardiac troponin I(cTnI),and N-terminal fragment of B-type natriuretic peptide (NT-proBNP)/Brain natriuretic peptide (BNP). The results of the electrochemiluminescence instrument were used as reference,and Pearson correlation analysis and Kappa test evaluation were used to evaluate respectively the correlation and consistency of the detected results between the two kinds of POCT instruments and Roche electrochemiluminescence instrument. Results:Our study demonstrated that there were good correlations in the detected results of Myo,CK-MB mass,cTnI,NT-proBNP/BNP between the instrument A and Roche electrochemiluminescence instrument,and between the instrument B and Roche electrochemiluminescence instrument (rinstrumentA=0.994,0.989,0.917,0.996,rinstrumentB=0.928,0.934,0.883,0.977,P<0.05),respectively. In the comparisons about consistencies,the concordance rates between instrument A and electrochemiluminescence instrument were respectively 90%,100%,70% and 100% in detecting Myo,CK-MB,cTnI and NT-proBNP,and the concordance rates between instrument B and electrochemiluminescence instrument were respectively 90%,100%,70% and 100% in detecting them. Both two kinds of POCT instruments had favorable consistencies with Roche electrochemiluminescence instrument (Kappainstrument A=0.798,1.00,0.429,1.00,Kappainstrument B=0.794,0.886,0.429,1.00),respectively. The precisions of both instruments were less than 10%. Conclusion:Both two kinds of POCT instruments can meet the requirements of clinical test,which have favorable correlations with electrochemiluminescence instrument in detecting myocardial biomarkers.
9.A systematic review of two-way referral criteria for diabetes
Min XU ; Xiaoxu GE ; Rui LI ; Liling XU ; Shan HUANG ; Lingmei QIAN ; Jun MA ; Juan DU
Chinese Journal of General Practitioners 2024;23(12):1299-1306
Objective:To investigate the criteria for two-way referral of diabetes in China through systematic review.Methods:According to inclusion and exclusion criteria, articles on two-way referral criteria for diabetes in China were retrieved from databases of PubMed, Embase, Cochrane Library, CNKI and Wanfang from inception to July 15, 2023. The data were extracted, by author′s name, publish year, criteria for rupwards and downwards referral, sample size, study region, study type and main conclusions.Results:A total of 702 relavent articles were retrieved, and 15 of which were included in the analysis. Blood glucose levels were the basic criteria for two-way referral, The criteria for upward referral included fasting blood glucose, 2-h postpradial blood glucose, glycosylated hemoglobin and random blood glucose, but there were variations in measuement values. The criteria for downward referral included fasting blood glucose, 2-h postpradial blood glucose, glycosylated hemoglobin, with the variation in fasting blood glucose. Lipids and blood pressure were also included in the referral criteria in later literature, with the variation of blood pressure values. There was consensus on the upward referral criteria for patients with special types of diabetes and with newly diagnosed diabetes. In contrast, the referral criteria for diabetic complications were relatively vague, especially with the lack of severity classification for chronic complications.Conclusion:The two-way referral criteria for diabetes mellitus have been constantly developing, while the criteria for downwards referral to the community need to be further improved.
10.Epidemiological Analysis of Pathogens in Acute Respiratory Infections During the 2023—2024 Autumn-Winter Season in Beijing: A Case Series of 5556 Patients at Peking Union Medical College Hospital
Yan CAO ; Yu CHEN ; Jie YI ; Lingjun KONG ; Ziyi WANG ; Rui ZHANG ; Qi YU ; Yiwei LIU ; MULATIJIANG MAIMAITI ; Chenglin YANG ; Yujie SUN ; Yingchun XU ; Qiwen YANG ; Juan DU
Medical Journal of Peking Union Medical College Hospital 2024;16(3):680-686
To analyze the epidemiological characteristics of acute respiratory infections (ARIs) during the autumn-winter season in Beijing, providing evidence for the prevention, control, diagnosis, and treatment of ARIs. A convenience sampling method was employed, enrolling patients who visited Peking Union Medical College Hospital (PUMCH) between September 2023 and February 2024 due to ARIs. Nasopharyngeal swabs were collected, and real-time fluorescence quantitative PCR was used to detect six common respiratory pathogens[influenza A virus (FluA), influenza B virus (FluB), human rhinovirus (HRV), A total of 5556 eligible patients were included. The overall positivity rate for the six common respiratory pathogens was 63.7%, with single-pathogen positivity at 54.0%, dual-pathogen positivity at 8.9%, and triple or more pathogen positivity at 0.7%. The predominant pathogens detected were FluA(16.1%) and RSV(15.7%), followed by ADV(11.1%), MP(11.1%), HRV(10.0%), and FluB(10.0%).No significant difference in overall pathogen positivity was observed between genders.However, significant differences were found between autumn and winter( The prevalence of respiratory pathogens in Beijing is associated with age and season. Targeted preventive measures should be implemented in different seasons and for key populations.

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