1.Expert consensus on non-surgical treatment for acute lateral ankle sprain (version 2025)
Hui CHE ; Wenge DING ; Shiming FENG ; Xueping GU ; Qinwei GUO ; Jianchao GUI ; Yinghui HUA ; Yuefeng HAO ; Qinglin HAN ; Bo HU ; Xiaojun LIANG ; Guoping LI ; Yunxia LI ; Qi LI ; Yanlin LI ; Xin MA ; Jun MA ; Xudong MIAO ; Jianzhong QIN ; Xiaodong QIN ; Xu SUN ; Kefu SUN ; Weidong SONG ; Dai SHI ; Zhongmin SHI ; Youlun TAO ; Xu WANG ; Youhua WANG ; Liheng WANG ; Anli WANG ; Aiguo WANG ; Weidong WU ; Yajun XU ; Weidong XU ; Renjie XU ; Yongsheng XU ; Tengbo YU ; Lianqi YAN ; Xiaodong YUAN ; Yuan ZHU ; Mingzhu ZHANG ; Hongtao ZHANG ; Xintao ZHANG ; Xiaofei ZHENG
Chinese Journal of Trauma 2025;41(6):517-529
Acute lateral ankle sprain (ALAS) is one of the most common sport injuries, with high incidence, recurrence and disability rates. Currently, exercise rehabilitation-based non-surgical treatment is the primary management approach for ALAS. However, there remain improper practices such as excessive immobilization or uncontrolled activity, which contribute to recurrent sprains and chronic ankle instability, significantly impairing patients′ athletic function and quality of life. To standardize the non-surgical management of ALAS, improve the cure rates, and reduce the recurrence and disability rates, Chinese Sports Rehabilitation Medicine Training Project of Chinese Medical Association, Foot and Ankle Basics and Orthopedics Group, Orthopedic Branch of Chinese Medical Doctor Association, and Sports Medicine Branch of Jiangsu Medical Association organized relevant experts to formulate Expert consensus on non-surgical treatment for acute lateral ankle sprain ( version 2025), following the principles of scientific vigor, practicality, and innovation. Thirteen recommendations were proposed for standardized treatment protocols across different healing phases, aiming to provide references for standard management of ALAS and improve the therapeutic outcomes.
2.Exploration of biomarkers for moyamoya disease and analysis of traditional Chinese medicine targets
Rulin ZHOU ; Yuanzheng HU ; Zongqing WANG ; Guoping ZHOU ; Baochao ZHANG ; Qian XU ; Fanghui BAI
Chinese Journal of Tissue Engineering Research 2025;29(32):6927-6938
BACKGROUND:The pathogenesis of moyamoya disease is unclear,and there is a lack of early diagnostic methods and effective medical treatments.OBJECTIVE:To identify biomarkers of moyamoya disease through machine learning,and analyze the therapeutic mechanism of Bu Huang Si Wu Tang in moyamoya disease.METHODS:Moyamoya disease gene dataset from gene expression omnibus database was retrieved.R language was used to screen differentially expressed genes and perform enrichment analysis on differentially expressed genes.Moyamoya disease biomarkers were screened using least absolute shrinkage and selection operator and support vector machine-recursive feature elimination machine learning algorithms.A diagnostic model was constructed by establishing a column chart,and its clinical utility and diagnostic value were evaluated and further validated through detecting clinical serum markers of patients with moyamoya disease.In vitro experiments were performed to observe the effect of Bu Huang Si Wu Tang on umbilical vein endothelial cells under oxygen glucose deprivation,and the main components of Bu Huang Si Wu Tang were selected for molecular docking and molecular dynamics simulation with the screened targets to explore its potential mechanism.RESULTS AND CONCLUSION:This study identified 76 differentially expressed genes,mainly enriched in immune and metabolic related pathways.Two potential biomarkers,complement factor D(CFD)and DKFZp434L192,were obtained through machine learning.The calibration curve,decision curve analysis,and clinical impact curve showed that the column chart had good predictive ability.qRT-PCR analysis showed that CFD and DKFZp434L192 expression levels were significantly upregulated in patients with moyamoya disease(P<0.001).In vitro experiments showed that Bu Huang Si Wu Tang significantly enhanced the activity and migration ability(P<0.01)of umbilical vein endothelial cells under oxygen glucose deprivation.Molecular docking results showed that all four active ingredients of Bu Huang Si Wu Tang could bind to the target site,and the dynamic simulation results further verified its binding stability.To conclude,CFD and DKFZp434L192 exhibit good diagnostic efficacy for moyamoya disease and can serve as potential diagnostic biomarkers and therapeutic targets for moyamoya disease.Bu Huang Si Wu Tang has a certain protective effect on vascular endothelial cells under ischemic conditions,which may be related to CFD.
3.Expert consensus on non-surgical treatment for acute lateral ankle sprain (version 2025)
Hui CHE ; Wenge DING ; Shiming FENG ; Xueping GU ; Qinwei GUO ; Jianchao GUI ; Yinghui HUA ; Yuefeng HAO ; Qinglin HAN ; Bo HU ; Xiaojun LIANG ; Guoping LI ; Yunxia LI ; Qi LI ; Yanlin LI ; Xin MA ; Jun MA ; Xudong MIAO ; Jianzhong QIN ; Xiaodong QIN ; Xu SUN ; Kefu SUN ; Weidong SONG ; Dai SHI ; Zhongmin SHI ; Youlun TAO ; Xu WANG ; Youhua WANG ; Liheng WANG ; Anli WANG ; Aiguo WANG ; Weidong WU ; Yajun XU ; Weidong XU ; Renjie XU ; Yongsheng XU ; Tengbo YU ; Lianqi YAN ; Xiaodong YUAN ; Yuan ZHU ; Mingzhu ZHANG ; Hongtao ZHANG ; Xintao ZHANG ; Xiaofei ZHENG
Chinese Journal of Trauma 2025;41(6):517-529
Acute lateral ankle sprain (ALAS) is one of the most common sport injuries, with high incidence, recurrence and disability rates. Currently, exercise rehabilitation-based non-surgical treatment is the primary management approach for ALAS. However, there remain improper practices such as excessive immobilization or uncontrolled activity, which contribute to recurrent sprains and chronic ankle instability, significantly impairing patients′ athletic function and quality of life. To standardize the non-surgical management of ALAS, improve the cure rates, and reduce the recurrence and disability rates, Chinese Sports Rehabilitation Medicine Training Project of Chinese Medical Association, Foot and Ankle Basics and Orthopedics Group, Orthopedic Branch of Chinese Medical Doctor Association, and Sports Medicine Branch of Jiangsu Medical Association organized relevant experts to formulate Expert consensus on non-surgical treatment for acute lateral ankle sprain ( version 2025), following the principles of scientific vigor, practicality, and innovation. Thirteen recommendations were proposed for standardized treatment protocols across different healing phases, aiming to provide references for standard management of ALAS and improve the therapeutic outcomes.
4.Multicenter survey on the current status of pediatric life support training
Xin QIAN ; Xiaodi CAI ; Quan WANG ; Meifang LIN ; Qian WANG ; Tingting XUE ; Biru LI ; Quelan HUANG ; Yi WANG ; Yunxia HONG ; Zhixu CHEN ; Guoping LU ; Ye CHENG ; Hongyang HU
Chinese Pediatric Emergency Medicine 2025;32(11):827-831
Objective:To investigate the current status and challenges of pediatric life support training in China and provide references for improving training quality.Methods:A cross-sectional study was conducted to collect data from pediatric life support training centers across the country,covering basic institutional information,training capacity and training faculty,training program funding,as well as existing challenges and issues.The domestic registry of training centers in 2023 was obtained through the American Heart Association's online platform.After contacting and verifying each center,an online questionnaire was distributed,and the aggregated data were statistically analyzed.Results:A total of 42 institutions participated in the survey,including 19 children's hospitals,14 general hospitals,6 maternal and child health hospitals,2 women and children’s hospitals,and 1 training institution.The distribution of training centers showed a concentration in coastal areas,with the top three provinces/municipalities being Guangdong(7/42,16.7%),Zhejiang(6/42,14.3%),and Shanghai(4/42,9.5%).As of December 31 2023,the 42 institutions had an annual basic life support(BLS)training volume of 8 587 individuals,the median was 120 (100,200),and an annual pediatric advanced life support(PALS)training volume of 2 448 individuals,the median was 30 (20,50).Among the 42 institutions,there were 598 BLS instructors and 306 PALS instructors.Among the surveyed institutions,24(24/42,57.1%)reported BLS instructor teams comprising fewer than 10 members,and 33(33/42,78.6%)reported PALS instructor teams comprising fewer than 10.Only 7 centers(7/42,16.7%)reported having dedicated funding support.The top three challenges were:training sessions occupying instructors’personal time(27/42,64.3%),low instructor compensation(16/42,38.1%),and issues with the data submission system(16/42,38.1%).Conclusion:Pediatric life support training centers in China are primarily children’s hospitals,with a geographical concentration in coastal areas,which is also reflected in the distribution of training scale and instructor resources.Most centers have relatively small training scales and limited instructor capacity,with many instructors conducting training during their personal time.These issues may hinder the implementation and effectiveness of training programs.
5.Exploration of biomarkers for moyamoya disease and analysis of traditional Chinese medicine targets
Rulin ZHOU ; Yuanzheng HU ; Zongqing WANG ; Guoping ZHOU ; Baochao ZHANG ; Qian XU ; Fanghui BAI
Chinese Journal of Tissue Engineering Research 2025;29(32):6927-6938
BACKGROUND:The pathogenesis of moyamoya disease is unclear,and there is a lack of early diagnostic methods and effective medical treatments.OBJECTIVE:To identify biomarkers of moyamoya disease through machine learning,and analyze the therapeutic mechanism of Bu Huang Si Wu Tang in moyamoya disease.METHODS:Moyamoya disease gene dataset from gene expression omnibus database was retrieved.R language was used to screen differentially expressed genes and perform enrichment analysis on differentially expressed genes.Moyamoya disease biomarkers were screened using least absolute shrinkage and selection operator and support vector machine-recursive feature elimination machine learning algorithms.A diagnostic model was constructed by establishing a column chart,and its clinical utility and diagnostic value were evaluated and further validated through detecting clinical serum markers of patients with moyamoya disease.In vitro experiments were performed to observe the effect of Bu Huang Si Wu Tang on umbilical vein endothelial cells under oxygen glucose deprivation,and the main components of Bu Huang Si Wu Tang were selected for molecular docking and molecular dynamics simulation with the screened targets to explore its potential mechanism.RESULTS AND CONCLUSION:This study identified 76 differentially expressed genes,mainly enriched in immune and metabolic related pathways.Two potential biomarkers,complement factor D(CFD)and DKFZp434L192,were obtained through machine learning.The calibration curve,decision curve analysis,and clinical impact curve showed that the column chart had good predictive ability.qRT-PCR analysis showed that CFD and DKFZp434L192 expression levels were significantly upregulated in patients with moyamoya disease(P<0.001).In vitro experiments showed that Bu Huang Si Wu Tang significantly enhanced the activity and migration ability(P<0.01)of umbilical vein endothelial cells under oxygen glucose deprivation.Molecular docking results showed that all four active ingredients of Bu Huang Si Wu Tang could bind to the target site,and the dynamic simulation results further verified its binding stability.To conclude,CFD and DKFZp434L192 exhibit good diagnostic efficacy for moyamoya disease and can serve as potential diagnostic biomarkers and therapeutic targets for moyamoya disease.Bu Huang Si Wu Tang has a certain protective effect on vascular endothelial cells under ischemic conditions,which may be related to CFD.
6.Multicenter survey on the current status of pediatric life support training
Xin QIAN ; Xiaodi CAI ; Quan WANG ; Meifang LIN ; Qian WANG ; Tingting XUE ; Biru LI ; Quelan HUANG ; Yi WANG ; Yunxia HONG ; Zhixu CHEN ; Guoping LU ; Ye CHENG ; Hongyang HU
Chinese Pediatric Emergency Medicine 2025;32(11):827-831
Objective:To investigate the current status and challenges of pediatric life support training in China and provide references for improving training quality.Methods:A cross-sectional study was conducted to collect data from pediatric life support training centers across the country,covering basic institutional information,training capacity and training faculty,training program funding,as well as existing challenges and issues.The domestic registry of training centers in 2023 was obtained through the American Heart Association's online platform.After contacting and verifying each center,an online questionnaire was distributed,and the aggregated data were statistically analyzed.Results:A total of 42 institutions participated in the survey,including 19 children's hospitals,14 general hospitals,6 maternal and child health hospitals,2 women and children’s hospitals,and 1 training institution.The distribution of training centers showed a concentration in coastal areas,with the top three provinces/municipalities being Guangdong(7/42,16.7%),Zhejiang(6/42,14.3%),and Shanghai(4/42,9.5%).As of December 31 2023,the 42 institutions had an annual basic life support(BLS)training volume of 8 587 individuals,the median was 120 (100,200),and an annual pediatric advanced life support(PALS)training volume of 2 448 individuals,the median was 30 (20,50).Among the 42 institutions,there were 598 BLS instructors and 306 PALS instructors.Among the surveyed institutions,24(24/42,57.1%)reported BLS instructor teams comprising fewer than 10 members,and 33(33/42,78.6%)reported PALS instructor teams comprising fewer than 10.Only 7 centers(7/42,16.7%)reported having dedicated funding support.The top three challenges were:training sessions occupying instructors’personal time(27/42,64.3%),low instructor compensation(16/42,38.1%),and issues with the data submission system(16/42,38.1%).Conclusion:Pediatric life support training centers in China are primarily children’s hospitals,with a geographical concentration in coastal areas,which is also reflected in the distribution of training scale and instructor resources.Most centers have relatively small training scales and limited instructor capacity,with many instructors conducting training during their personal time.These issues may hinder the implementation and effectiveness of training programs.
7.National bloodstream infection bacterial resistance surveillance report 2023: Gram-positive bacteria
Chaoqun YING ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(2):118-132
Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute(CLSI). Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus( n=1 544,35.2%),coagulase-negative Staphylococci( n=1 441,32.9%), Enterococcus faecium( n=574,13.1%), Enterococcus faecalis( n=385,8.8%),and α-hemolytic Streptococci( n=187,4.3%). The prevalence of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)was 26.2%(405/1 544)and 69.8%(1 006/1 441),respectively. Notably,all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility(>97.0%)to cephalobiol,rifampicin,trimethoprim-sulfamethoxazole,linezolid,minocycline,tigecycline,and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium(resistance to vancomycin and teicoplanin:both 1.7%)compared to Enterococcus faecalis(both 0.3%). The detection rates of MRSA and MRCNS exhibited significant regional variations across the country( χ2=17.674 and 148.650,respectively,both P<0.001). No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA( χ2=14.111, P<0.001)and MRCNS( χ2=4.828, P=0.028)in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA( χ2=18.986, P<0.001)and MRCNS( χ2=4.477, P=0.034)in less developed regions(per capita GDP
8.National bloodstream infection bacterial resistance surveillance report (2023) : Gram-negative bacteria
Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(1):47-62
Objective:To report the results of bacterial resistant investigation collaborative system(BRICS)on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023,and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period,11 492 strains of Gram-negative bacteria were collected from 60 hospitals,of which 10 098(87.9%)were Enterobacterales and 1 394(12.1%)were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli(50.0%), Klebsiella pneumoniae(26.1%), Pseudomonas aeruginosa(5.1%), Acinetobacter baumannii complex(5.0%)and Enterobacter cloacae complex(4.1%). The ESBL-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus mirablilis were 46.8%(2 685/5 741),18.3%(549/2 999)and 44.0%(77/175),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(76/5 741)and 15.0%(450/2 999);32.9%(25/76)and 78.0%(351/450)of CREC and CRKP were sensitive to ceftazidime/avibactam combination,respectively. 94.7%(72/76)and 90.2%(406/450)of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore,57.9%(44/76)and 79.1%(356/450)were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 64.6%(370/573),while more than 80.0% of CRAB complex was sensitive to tigecycline,eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 17.0%(99/581). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China,with statistically significant differences in the prevalence of CREC,CRKP,CRPA and CRAB complex( χ2=10.6,28.6,10.8 and 19.3, P<0.05). The prevalence of ESBL-producing Escherichia coli, CREC,CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals( χ2=12.5,9.8,12.7 and 57.8,all P<0.01). Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China,and Escherichia coli is ranked in the top,while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend,CREC infecton maintains a low prevalence level,and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.
9.National bloodstream infection bacterial resistance surveillance report 2023: Gram-positive bacteria
Chaoqun YING ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(2):118-132
Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute(CLSI). Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus( n=1 544,35.2%),coagulase-negative Staphylococci( n=1 441,32.9%), Enterococcus faecium( n=574,13.1%), Enterococcus faecalis( n=385,8.8%),and α-hemolytic Streptococci( n=187,4.3%). The prevalence of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)was 26.2%(405/1 544)and 69.8%(1 006/1 441),respectively. Notably,all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility(>97.0%)to cephalobiol,rifampicin,trimethoprim-sulfamethoxazole,linezolid,minocycline,tigecycline,and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium(resistance to vancomycin and teicoplanin:both 1.7%)compared to Enterococcus faecalis(both 0.3%). The detection rates of MRSA and MRCNS exhibited significant regional variations across the country( χ2=17.674 and 148.650,respectively,both P<0.001). No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA( χ2=14.111, P<0.001)and MRCNS( χ2=4.828, P=0.028)in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA( χ2=18.986, P<0.001)and MRCNS( χ2=4.477, P=0.034)in less developed regions(per capita GDP
10.National bloodstream infection bacterial resistance surveillance report (2023) : Gram-negative bacteria
Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(1):47-62
Objective:To report the results of bacterial resistant investigation collaborative system(BRICS)on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023,and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period,11 492 strains of Gram-negative bacteria were collected from 60 hospitals,of which 10 098(87.9%)were Enterobacterales and 1 394(12.1%)were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli(50.0%), Klebsiella pneumoniae(26.1%), Pseudomonas aeruginosa(5.1%), Acinetobacter baumannii complex(5.0%)and Enterobacter cloacae complex(4.1%). The ESBL-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus mirablilis were 46.8%(2 685/5 741),18.3%(549/2 999)and 44.0%(77/175),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(76/5 741)and 15.0%(450/2 999);32.9%(25/76)and 78.0%(351/450)of CREC and CRKP were sensitive to ceftazidime/avibactam combination,respectively. 94.7%(72/76)and 90.2%(406/450)of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore,57.9%(44/76)and 79.1%(356/450)were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 64.6%(370/573),while more than 80.0% of CRAB complex was sensitive to tigecycline,eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 17.0%(99/581). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China,with statistically significant differences in the prevalence of CREC,CRKP,CRPA and CRAB complex( χ2=10.6,28.6,10.8 and 19.3, P<0.05). The prevalence of ESBL-producing Escherichia coli, CREC,CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals( χ2=12.5,9.8,12.7 and 57.8,all P<0.01). Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China,and Escherichia coli is ranked in the top,while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend,CREC infecton maintains a low prevalence level,and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.

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