1.Microarray gene chip detection results in spontaneous abortion tissues
Shaoxia LIANG ; Yanxia ZHANG ; Jing ZHAO ; Haixin YANG ; Fenghua XIE
International Journal of Laboratory Medicine 2025;46(19):2364-2370,2377
Objective To use chromosome microarray analysis(CMA)technology to detect and analyze spontaneous abortion tissues,and explore the genetic factors that contribute to the occurrence of spontaneous abortion.Methods The abortion tissues of totally 1 038 patients with spontaneous abortion who came to the hospital for treatment from January 1,2019 to December 31,2021 were collected.CMA technology was used to detect the tissues,and the results were analyzed for genetic etiology.Results Among 1 038 cases of spontane-ous abortion patients,901 cases were qualified for sampling and 901 cases were actually tested.There were 443 cases of chromosomal abnormalities and(or)copy number variations(CNV)with unknown significance de-tected by CMA,with an abnormality rate of 49.17%.There were 41 cases of pathogenic CNV,accounting for 9.26%of the total abnormalities.There were statistically significant differences in the total chromosome ab-normality rate(x2=17.37)and chromosome number abnormality rate(x2=26.43)of aborted fetuses among different age groups of pregnant women(P<0.001).There were statistically significant differences in the to-tal chromosome abnormality rate(x2=19.63)and chromosome number abnormality rate(x2=22.66)of dif-ferent miscarriage tissues during pregnancy(P<0.001).Conclusion The application of CMA technology to detect the miscarriage tissue of patients with spontaneous abortion can improve the detection rate of chromo-somal abnormalities in miscarriage embryos,discover potential genetic factors,and provide genetic guidance for patients' next pregnancy.
2.Stearic acid affects the expression of IL-17 in CD4+T cells from ketosis cows through CD36
Ziwei JI ; Siyao LI ; Haixin ZHANG ; Ziwei LI ; Shangmingzhu ZHANG ; Wei YANG ; Chuang XU ; Bingbing ZHANG
Chinese Journal of Veterinary Science 2025;45(3):602-610
The peripheral blood of healthy or ketosis dairy cows was collected,and CD4+T cells were isolated.The expressions of lipid synthesis related proteins fatty acid synthase(FASN),acetyl coenzyme A carboxylase 1(ACC1),cluster of differentiation 36(CD36)and store-operated calcium entry(SOCE)related proteins ORAIl,ORAI2,ORAI3,STIM1,STIM2 were detected by Western blot.IL-17 cells were detected by flow cytometry.CD4+T cells were isolated from the spleen of 1-day-old calves and cultured in vitro.Cells were treated and divided into control(Ctrl)group,si-lenced CD36(siCD36)group,stearic acid(SA)group,and SA+siCD36 group.Cells in the Ctrl and SA groups were transfected with 75 pmol/L negative control siRNA for 48 h,and then stimulated with 200 μmol/L SA for 24 h;Cells in the siCD36 group and SA+siCD36 group were transfected with 75 pmol/L CD36 siRNA for 48 h,and then stimulated with 200 μmol/L SA for 24 h in the SA+siCD36 group.The protein expression of FASN,CD36,ACC1,ORAI1,ORAI2,ORAI3,STIM1 and STIM2 was detected by Western blot,and IL-17 cells were detected by flow cytometry.The results showed that the expression of IL-17 in peripheral blood CD4+T cells of ketosis dairy cows was significantly increased compared to that of healthy cows(P<0.01).Additionally,the protein level of FASN,CD36,STIM1(P<0.05),and ACC1,ORAI2,ORAI3,STIM2(P<0.01)were up-regulated.Compared with the Ctrl group,the protein expression levels of CD36,ACC1 and ORAI3(P<0.05)were up-regulated in the SA group,as well as the protein expression of FASN and STIM1(P<0.01).Additionally,the expression of IL-17 was significantly increased(P<0.05).Compared with the SA group,there was a decrease in the protein expression of STIM1,ORAI1(P<0.05)and CD36,ACC1,FASN,ORAI2(P<0.01)in the siCD36+SA group,as well as IL-17(P<0.05).These results suggest that SA can promote the expression of IL-17 in CD4+T cells in ketosis cows by regulating fatty acid synthesis and activating SOCE channels through CD36.
3.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
4.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.
5.Caregiver fatigue in aging society:a conceptual analysis
Shuhui LIU ; Haixin ZHAI ; Wei LI ; Sihua WEI ; Xinyi YANG ; Aimin GUO
Modern Clinical Nursing 2025;24(9):84-90
Objective To clarify the concept of caregiver fatigue in an aging society and to provide references in the elderly people nursing.Methods Literature on caregiver fatigue was systematically retrieved from databases of China National Knowledge Infrastructure(CNKI),Wanfang Data,Chinese Biomedical Literature Database,PubMed,EMbase,Scopus,and Web of Science from the inception to June 15th 2024.Walker and Avant's framework for concept analysis was performed to analyse the retrieved literature.Results Forty-one papers were included in the study.Caregiver fatigue was identified to comprise of five defining attributes:simultaneous physical and psychological burden,subjective perception,changing over time,negative impact arising from caregiving,and negative impact on both caregivers and care recipients.Antecedents included three perspectives:caregiver-related,care-recipient-related and environmental,The consequences included an impact on both the caregiver and the person being cared for.Empirical assessment indicators of fatigue include the checklist individual strength(CIS)and the fatigue assessment instrument(FAI)and fatigue scale-14(FS-14,FS-14).Conclusion Walker and Avant's conceptual analysis identifies five attributes of caregiver fatigue.Nurses should pay attention to and evaluate the degree of caregiver fatigue from multiple perspectives,thereby effectively identifying and intervening in the fatigue as early as possible.
6.Caregiver fatigue in aging society:a conceptual analysis
Shuhui LIU ; Haixin ZHAI ; Wei LI ; Sihua WEI ; Xinyi YANG ; Aimin GUO
Modern Clinical Nursing 2025;24(9):84-90
Objective To clarify the concept of caregiver fatigue in an aging society and to provide references in the elderly people nursing.Methods Literature on caregiver fatigue was systematically retrieved from databases of China National Knowledge Infrastructure(CNKI),Wanfang Data,Chinese Biomedical Literature Database,PubMed,EMbase,Scopus,and Web of Science from the inception to June 15th 2024.Walker and Avant's framework for concept analysis was performed to analyse the retrieved literature.Results Forty-one papers were included in the study.Caregiver fatigue was identified to comprise of five defining attributes:simultaneous physical and psychological burden,subjective perception,changing over time,negative impact arising from caregiving,and negative impact on both caregivers and care recipients.Antecedents included three perspectives:caregiver-related,care-recipient-related and environmental,The consequences included an impact on both the caregiver and the person being cared for.Empirical assessment indicators of fatigue include the checklist individual strength(CIS)and the fatigue assessment instrument(FAI)and fatigue scale-14(FS-14,FS-14).Conclusion Walker and Avant's conceptual analysis identifies five attributes of caregiver fatigue.Nurses should pay attention to and evaluate the degree of caregiver fatigue from multiple perspectives,thereby effectively identifying and intervening in the fatigue as early as possible.
7.Stearic acid affects the expression of IL-17 in CD4+T cells from ketosis cows through CD36
Ziwei JI ; Siyao LI ; Haixin ZHANG ; Ziwei LI ; Shangmingzhu ZHANG ; Wei YANG ; Chuang XU ; Bingbing ZHANG
Chinese Journal of Veterinary Science 2025;45(3):602-610
The peripheral blood of healthy or ketosis dairy cows was collected,and CD4+T cells were isolated.The expressions of lipid synthesis related proteins fatty acid synthase(FASN),acetyl coenzyme A carboxylase 1(ACC1),cluster of differentiation 36(CD36)and store-operated calcium entry(SOCE)related proteins ORAIl,ORAI2,ORAI3,STIM1,STIM2 were detected by Western blot.IL-17 cells were detected by flow cytometry.CD4+T cells were isolated from the spleen of 1-day-old calves and cultured in vitro.Cells were treated and divided into control(Ctrl)group,si-lenced CD36(siCD36)group,stearic acid(SA)group,and SA+siCD36 group.Cells in the Ctrl and SA groups were transfected with 75 pmol/L negative control siRNA for 48 h,and then stimulated with 200 μmol/L SA for 24 h;Cells in the siCD36 group and SA+siCD36 group were transfected with 75 pmol/L CD36 siRNA for 48 h,and then stimulated with 200 μmol/L SA for 24 h in the SA+siCD36 group.The protein expression of FASN,CD36,ACC1,ORAI1,ORAI2,ORAI3,STIM1 and STIM2 was detected by Western blot,and IL-17 cells were detected by flow cytometry.The results showed that the expression of IL-17 in peripheral blood CD4+T cells of ketosis dairy cows was significantly increased compared to that of healthy cows(P<0.01).Additionally,the protein level of FASN,CD36,STIM1(P<0.05),and ACC1,ORAI2,ORAI3,STIM2(P<0.01)were up-regulated.Compared with the Ctrl group,the protein expression levels of CD36,ACC1 and ORAI3(P<0.05)were up-regulated in the SA group,as well as the protein expression of FASN and STIM1(P<0.01).Additionally,the expression of IL-17 was significantly increased(P<0.05).Compared with the SA group,there was a decrease in the protein expression of STIM1,ORAI1(P<0.05)and CD36,ACC1,FASN,ORAI2(P<0.01)in the siCD36+SA group,as well as IL-17(P<0.05).These results suggest that SA can promote the expression of IL-17 in CD4+T cells in ketosis cows by regulating fatty acid synthesis and activating SOCE channels through CD36.
8.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
9.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.
10.National bloodstream infection bacterial resistance surveillance report(2022): Gram-positive bacteria
Chaoqun YING ; Yunbo CHEN ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Haifeng MAO ; Hui DING ; Pengpeng TIAN ; Jiangqin SONG ; Yongyun LIU ; Jiliang WANG ; Yan JIN ; Yuanyuan DAI ; Yizheng ZHOU ; Yan GENG ; Fenghong CHEN ; Lu WANG ; Yanyan LI ; Dan LIU ; Peng ZHANG ; Junmin CAO ; Xiaoyan LI ; Dijing SONG ; Xinhua QIANG ; Yanhong LI ; Qiuying ZHANG ; Guolin LIAO ; Ying HUANG ; Baohua ZHANG ; Liang GUO ; Aiyun LI ; Haiquan KANG ; Donghong HUANG ; Sijin MAN ; Zhuo LI ; Youdong YIN ; Kunpeng LIANG ; Haixin DONG ; Donghua LIU ; Hongyun XU ; Yinqiao DONG ; Rong XU ; Lin ZHENG ; Shuyan HU ; Jian LI ; Qiang LIU ; Liang LUAN ; Jilu SHEN ; Lixia ZHANG ; Bo QUAN ; Xiaoping YAN ; Xiaoyan QI ; Dengyan QIAO ; Weiping LIU ; Xiusan XIA ; Ling MENG ; Jinhua LIANG ; Ping SHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2024;17(2):99-112
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-positive bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-positive bacteria from blood cultures in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)were collected during January 2022 to December 2022. 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 software were used to analyze the data.Results:A total of 3 163 strains of Gram-positive pathogens were collected from 51 member units,and the top five bacteria were Staphylococcus aureus( n=1 147,36.3%),coagulase-negative Staphylococci( n=928,29.3%), Enterococcus faecalis( n=369,11.7%), Enterococcus faecium( n=296,9.4%)and alpha-hemolyticus Streptococci( n=192,6.1%). The detection rates of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)were 26.4%(303/1 147)and 66.7%(619/928),respectively. No glycopeptide and daptomycin-resistant Staphylococci were detected. The sensitivity rates of Staphylococcus aureus to cefpirome,rifampin,compound sulfamethoxazole,linezolid,minocycline and tigecycline were all >95.0%. Enterococcus faecium was more prevalent than Enterococcus faecalis. The resistance rates of Enterococcus faecium to vancomycin and teicoplanin were both 0.5%(2/369),and no vancomycin-resistant Enterococcus faecium was detected. The detection rate of MRSA in southern China was significantly lower than that in other regions( χ2=14.578, P=0.002),while the detection rate of MRCNS in northern China was significantly higher than that in other regions( χ2=15.195, P=0.002). The detection rates of MRSA and MRCNS in provincial hospitals were higher than those in municipal hospitals( χ2=13.519 and 12.136, P<0.001). The detection rates of MRSA and MRCNS in economically more advanced regions(per capita GDP≥92 059 Yuan in 2022)were higher than those in economically less advanced regions(per capita GDP<92 059 Yuan)( χ2=9.969 and 7.606, P=0.002和0.006). Conclusions:Among the Gram-positive pathogens causing bloodstream infections in China, Staphylococci is the most common while the MRSA incidence decreases continuously with time;the detection rate of Enterococcus faecium exceeds that of Enterococcus faecalis. The overall prevalence of vancomycin-resistant Enterococci is still at a low level. The composition ratio of Gram-positive pathogens and resistant profiles varies slightly across regions of China,with the prevalence of MRSA and MRCNS being more pronounced in provincial hospitals and areas with a per capita GDP≥92 059 yuan.

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