1.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.
2.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; 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 ; 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 2025;25(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
3.Evaluation of clinical effectiveness of retrograde recanalization of occluded radial artery via distal transradial approach
Xiao-fei XIE ; Sheng-xin ZUO ; Jin-peng XU ; Xiao-liang HAN ; Gang-cheng SUN ; Liang LI
Chinese Journal of Interventional Cardiology 2025;33(3):135-140
Objective Radial artery occlusion(RAO)is one of the common complications following coronary intervention via the traditional radial artery approach.This study aims to evaluate the clinical effectiveness of retrograde recanalization of occluded radial arteries through the distal transradial approach(dTRA)approach.Methods A total of 35 patients with RAO admitted to the cardiovascular department of the Anhui Chest hospital between December 2022 and April 2024,who were scheduled to undergo coronary intervention and had attempted recanalization of RAO via dTRA approach were selected.The primary result was the success rate of recanalizing RAO via dTRA.The secondary results included factors influencing the failure of recanalization via dTRA,postoperative puncture complications,and the patency rate at the 3-month follow-up.Results This study divided the patients into a successful group(29 cases,82.9%)and a failed group(6 cases,17.1%)based on whether the distal radial artery was successfully opened and occluded.The proportion of smoking(100.00%vs.17.24%,P=0.040),history of diabetes(100.00%vs.10.34%,P=0.025),and chronic total occlusion of coronary artery(83.33%vs.17.24%,P=0.030)in the failure group were higher than those in the success group,and the difference was statistically significant.The application rate of balloon tracking assisted technology in the failed group(16.67%vs.58.62%,P=0.045),and the diameter of the radial artery at 3 days after surgery[(1.63±0.13)mm vs.(2.13±0.32)mm,P=0.021]and the peak radial artery blood flow velocity at 3 days postoperatively[(0.10±0.78)m/s vs.(0.50±0.13)m/s,P<0.001]were all lower in the successful group,and the differences were statistically significant.Logistic regression analysis 3 days after surgery showed that chronic complete occlusion of the coronary artery was an independent risk factor for surgical opening failure(OR 0.042,95%CI 0.004-0.438,P=0.008).After 3 months of follow-up,the patency rate of the successful group was 55.2%.Conclusions Retrograde recanalization of RAO via dTRA is safe and feasible,but its long-term patency rate is not high.
4.Mechanism of Macrophage Pyroptosis Regulated by Caspase-8/GSDME Pathway in Rat Model of Myocardial Infarction
Liwei AN ; Jiaojiao HAN ; Yangyang XIE ; Bin WANG ; Jin WANG ; Lijun ZHANG
Journal of Modern Laboratory Medicine 2025;40(6):165-170
Objective To explore the role of cysteine aspartic protease-8(Caspase-8)/gasdermin E(GSDME)pathway in the regulation of macrophage pyroptosis in myocardial infarction(MI)rat model and its possible mechanism.Methods Thirty rats were randomly divided into sham operation group,MI group and Caspase-8 inhibition(Z-IETD-FMK)group,with 10 rats in each group.The cultured rat macrophages RMa-bm were divided into control group,hypoxia group and Z-IETD-FMK group.The pathological changes of myocardial tissue were detected by H&E staining.Masson staining was used to detect myocardial fibrosis.The protein and mRNA levels of Caspase-8 and GSDME in myocardial tissue and Caspase-8,GSDME,NLR family Pyrin domain protein 3(NLRP3),apoptosis-related speck-like protein(ASC)and Caspase-1 in macrophages were detected by RT-qPCR and Western blotting.The levels of IL-1β and IL-18 in macrophages were detected by ELISA.TUNEL staining was used to detect apoptosis of cardiomyocytes and macrophages.Results Compared with the sham operation group,myocardial tissue of rats in MI group was broken and disturbed,inflammatory cell infiltration,a large amount of collagen fiber deposition in the gap,cell apoptosis increased and the expression of Caspase-8,GSDME protein and mRNA in myocardial tissue increased,the differences were statistically significant(t=16.19,27.60;21.18,23.73,all P<0.05).Compared with MI group,Z-IETD-FMK group improved myocardial structural damage,reduced inflammatory cells and collagen deposition,cell apoptosis decreased and decreased Caspase-8,GSDME protein and mRNA expressions in myocardial tissue,with statistical significance(t=20.34,14.56;11.97,24.46,all P<0.05).Compared with the control group,the apoptosis of macrophages in hypoxia group was increased,and the protein and mRNA expressions of Caspase-8,GSDME,NLRP3,ASC,Caspase-1 in macrophages were increased(tprotein=17.53~120.90,tmRNA=18.42~60.30),the contents of IL-1β and IL-18 in macrophages were increased(t=25.88,45.74),and the differences were staistically significant(all P<0.05).Compared with the hypoxia group,the apoptosis of macrophages in Z-IETD-FMK group was decreased,and the protein and mRNA expressions of Caspase-8,GSDME,NLRP3,ASC,Caspase-1 in macrophages were decreased(tprotein=17.08~35.08,tmRNA=11.21~47.96),IL-1β and IL-18 content decreased(t=27.38,25.82),and the differences were staistically significant(all P<0.05),respectively.Conclusion Down-regulating Caspase-8/GSDME pathway can improve myocardial injury and hypoxic macrophage scorch death in MI rats.
5.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; 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 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 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
6.Research on the Compatibility Rules of Medicinal Ingredients in Classical Cough Treatment Formulas Based on Guidelines/Textbooks
Mingyue QI ; Hongye GUO ; Chenqiong XIE ; Yijia ZHAO ; Rui JIN ; Xiange HAN
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(9):2654-2665
Objective Under the theory guidance of the Fuxingjue and the Tang-Ye-Jing-Fa map,this study aims to explore the common patterns and unique characteristics of five-flavor combinations in formulas for treating different syndromes of cough.Methods Chinese herbal formulas for cough treatment were collected from traditional Chinese medicine(TCM)clinical practice guidelines,consensuses,and textbooks,and their flavor combinations and distribution were clarified.Based on the theory of the Tang-Ye-Jing-Fa map regarding the five flavors for lung diseases(sour for tonifying,salty for purging,and pungent for transforming),the dominant flavors in each formula were statistically analyzed.Further classification was conducted according to the cold-heat properties and the amount of phlegm,and the characteristics and five-flavor combination patterns of formulas for different syndromes were analyzed.Results A total of 21 formulas for treating different syndromes of cough were statistically analyzed,among which 85.7%of the formulas had dominant flavors of"sour,salty,and pungent".For hot cough(9 formulas),sour was mainly used to tonify the lung and bitter to purge the heart(e.g.,Sangxing Tang and Qingjin Huatan Tang);for cold cough(4 formulas),pungent was mainly used to tonify the liver and warm yang(e.g.,San'ao Tang combined with Zhike San and Xiaoqinglong Tang);for cough with abundant phlegm(7 formulas),the focus was on using pungent to purge the spleen and eliminate dampness(e.g.,Erchen Tang combined with Sanzi Yangqin Tang);for cough with little or no phlegm(6 formulas),sour was used as the core to tonify the lung and nourish yin(e.g.,Sha Shen Mai Dong Tang).Conclusion From the perspective of the Tang-Ye-Jing-Fa map,the flavors of"sour,salty,and pungent"play an important role in the composition of formulas for treating cough.Although the five-flavor combinations of formulas for different syndromes of cough vary,they share common characteristics when classified according to cold-heat properties and phlegm amount.These findings provide a theoretical basis for optimizing the combination of Chinese herbal formulas for cough treatment by adjusting the proportion of the five flavors in clinical practice.
7.Effects of MiR-126 on Myocardial Remodeling and Macrophage Polarization after Acute Myocardial Infarction
Jiaojiao HAN ; Liwei AN ; Yangyang XIE ; Bin WANG ; Jin WANG ; Lijun ZHANG
Journal of Kunming Medical University 2025;46(11):43-49
Objective To investigate the effects of miR-126 on myocardial remodeling and macrophage polarization after acute myocardial infarction(AMI).Methods(1)Twenty-one rats were divided into a sham operation group and an AMI group.The AMI group was further divided into postoperative days 1,3,5,7,9,and 11 days(AMI-1,AMI-3,AMI-5,AMI-7,AMI-9,AMI-11),with 3 rats in each group,and postoperative day 3 was selected for subsequent study.(2)Thirty rats were randomly divided into three groups:sham operation group,AMI group and miR-126 overexpression group,with 10 rats in each group.RT-qPCR was used to detect the expression levels of miR-126 mRNA.2,3,5-Triphenyltetrazole chloride(TTC)staining was used to detect the infarct size.Myocardial fibrosis was detected by Masson staining.The cross-sectional area of the myocardium was determined by H&E staining.Immunofluorescence staining was used to detect the protein levels of CD86 and CD206 in myocardial tissue.Western blotting was used to detect the protein levels of CD86 and CD206 in myocardial tissue.The levels of tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β)and IL-6 in serum were detected by ELISA kit.Results Compared with the sham operation group,the expression level of miR-126 mRNA in myocardial tissue of rats in the AMI group was significantly decreased on postoperative day 1(P<0.05),reached the lowest level on postoperative day 3.And then although it rose to a certain extent,it remained lower than that of the sham operation group on postoperative day 11(P<0.05),and postoperative day 3 was selected for further study.Compared with the sham operation group,the expression of miR-126 mRNA in myocardial tissue of the AMI group was decreased(P<0.05),and the myocardial fibrosis,infarct size and myocardial cross-sectional area were increased(P<0.05).The expression of CD86 protein in myocardial tissue was increased and the expression of CD206 protein was decreased(P<0.05).The serum levels of TNF-α,IL-6 and IL-1β were increased(P<0.05).Compared with the AMI group,the rats in the miR-126 overexpression group had a significant increase in the mRNA expression of miR-126 in myocardial tissue(P<0.05),a significant reduction in myocardial fibrosis,infarct size,and myocardial cross-sectional area(P<0.05),a significant reduction in the expression of CD86 protein in myocardial tissue,and a significant increase in the expression of CD206 protein(P<0.05).The serum levels of TNF-α,IL-6 and IL-1β were significantly decreased(P<0.05).Conclusion Over-expression of miR-126 can improve myocardial remodeling and promote M2 macrophage polarization in AMI rats.
8.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; 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 ; 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 ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; 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 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
9.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; 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 ; 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 WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
10.Analysis of Risk Factors Associated with Lymph Node Metastasis in Endome-trial Cancer and Construction of a Predictive Model
Yanhong WU ; Mengli MAO ; Yutong XIE ; Yifeng WANG ; Dongxian PENG ; Jin YANG ; Ying MA ; Honglei ZHU ; Nana HAN ; Mingyue ZHU ; Xiafei FU
Journal of Practical Obstetrics and Gynecology 2025;41(10):859-864
Objective:To explore the relationship between general demographic characteristics,inflammatory indicators,nutritional indicators,pathological data and lymph node metastasis in endometrial cancer(EC)pa-tients,and to construct and validate a model for preoperative prediction of lymph node status in endometrial canc-er patients.Methods:The preoperative clinical data of 473 patients with EC who underwent surgical treatment in the Zhu Jiang Hospital of Southern Medical University from January 2010 to April 2024 were retrospectively ana-lyzed.The independent risk factors of lymph node metastasis of endometrial cancer were screened by univariate and multivariate Logistic regression analyses,and the nomogram prediction model was constructed by R soft-ware.The performance of the model was evaluated by the receiver operating characteristic(ROC)curve,calibra-tion curve and clinical decision curve.Results:Menopausal status,high grade biopsy pathology,CA125 ≥24.47U/ml,systemic immune inflammatory index(SII)≥710.91,and prognostic nutritional index(PNI)<52.90 were in-dependent risk factors for lymph node metastasis in endometrial cancer(OR>1,P<0.05).The nomogram model constructed based on these five factors had an AUC of 0.853 in the training set and 0.871 in the test set.The cali-bration curve fitted well,and the clinical decision curve shows a positive benefit.Conclusions:The endometrial cancer lymph node metastasis prediction model constructed based on menopausal status,biopsy pathology,CA125,SII,and PNI has good accuracy and fit,with certain clinical application value.

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