1.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
2.Effect of Hirudo on autophagy in atherosclerotic mice
Qian-Qian HAN ; Yun-Yun PAN ; Zi-Yun WEN ; Qing LÜ ; Liang WEI ; Meng-Yi LI ; Min HONG
The Chinese Journal of Clinical Pharmacology 2024;40(5):688-692
Objective To explore the anti-atherosclerosis mechanism of Hirudo and its effect on autophagy in mice.Methods Forty healthy male ApoE-/-mice were randomly divided into model group,control group(3 × 10-3 g·kg-1·d-1 simvastatin)and experimental-L,experimental-M,experimental-H groups(0.45,0.9,1.8 g·kg-1· d-1,Maixuekang capsule).Eight healthy male C57BL/6J mice were divided into blank group.The mice were fed with common diet for 1 week.Then,except blank group,other groups were fed with high-fat diet.After 8 weeks of modeling,the atherosclerosis(AS)mice were given drugs orally once a day for 12 weeks,and fed with high-fat diet in the meantime.The levels of interleukin-6(IL-6),tumor necrosis factor-α(TNF-α)in serum were determined by enzyme-linked immunosorbent assay(ELISA).The levels of Beclin-1,LC3 autophagy protein were detected by Western blot method.Results The IL-6 contents in the experimental-H,experimental-M,experimental-L,control,model and blank groups were(107.59±3.03),(99.31±5.12),(103.52±2.28),(98.68±4.68),(112.66±6.08),(93.98±3.43)pg·mL-1;the TNF-α contents were(538.41±30.26),(504.49±21.51),(538.51±19.05),(494.05±25.08),(578.53±26.32),(467.35±21.53)pg·mL-1.For the above indexes,the differences between model group and experimental-H group,experimental-M group,experimental-L group,control group,blank group were all statistically significant(all P<0.05).The Beclin-1 protein expression levels in the experimental-H,experimental-M,experimental-L,control and model groups were 1.48±0.05,1.72±0.05,1.19±0.02,1.51±0.04,0.66±0.03;the LC3 Ⅱ protein expression levels were 1.53±0.01,1.83±0.02,1.16±0.01,1.90±0.01,0.49±0.01,and the differences between model group and experimental-H group,experimental-M group,experimental-L group,control group were all statistically significant(all P<0.05).Conclusion Hirudo can significantly reduce the area of atherosclerotic plaque by regulating the level of autophagy.
3.Distribution and antimicrobial resistance profiles of clinical isolates from blood samples:results from China Antimicrobial Surveillance Network (CHINET) from 2015 to 2021
Min ZHONG ; Xiangning HUANG ; Hua YU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yi XIE ; Mei KANG ; Shanmei WANG ; Yafei CHU ; Wenen LIU ; Yanming LI ; Dawen GUO ; Jinying ZHAO ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Ziyong SUN ; Zhongju CHEN ; Yunsong YU ; Jie LIN ; Jihong LI ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Fang DONG ; Zhiyong LÜ ; Han SHEN ; Wanqing ZHOU ; Sufang GUO ; Zhidong HU ; Jin LI ; Chuanqing WANG ; Pan FU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Lixia ZHANG ; Juan MA ; Yuxing NI ; Jingyong SUN ; Jinju DUAN ; Jianbang KANG ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Xuesong XU ; Chao YAN ; Yunjian HU ; Xiaoman AI ; Jinsong WU ; Yuemei LU ; Fangfang HU ; Lianhua WEI ; Fengmei ZOU ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Xiaobo MA ; Yanping ZHENG ; Kaizhen WEN ; Yirong ZHANG ; Yunsheng CHEN ; Qing MENG ; Xuefei HU ; Ruizhong WANG ; Hua FANG ; Ruyi GUO ; Yan ZHU ; Jilu SHEN ; Wenhui HUANG ; Bixia YU ; Jiao FENG ; Yong ZHAO ; Ping GONG ; Shunhong XUE ; Hongqin GU ; Wen HE ; Jiangshan LIU ; Chunlei YUE ; Longfeng LIAO ; Lin JIANG
Chinese Journal of Infection and Chemotherapy 2024;24(6):664-677
Objective To investigate the distribution and antimicrobial resistance of bacterial isolates from blood samples in the hospitals participating in China Antimicrobial Surveillance Network (CHINET) from 2015 to 2021.Methods Bacterial strains isolated from blood samples were collected from 52 medical centers participating in CHINET from 2015 to 2021 for analysis of bacetrial distribution and antimicrobial resistance.Results A total of 153591 isolates were collected,48.8% of which were gram-positive bacteria and 51.2% were gram-negative bacteria.The top five bacterial strains were coagulase negative Staphylococcus (28.2%),Escherichia coli (20.7%),Klebsiella (13.7%),Enterococcus (7.2%),and Staphylococcus aureus (6.6%).Compard to female patients,male patients showed lower proportion of E.coli and higher proportions of other bacterial species in all the bacterial isolaets from blood samples.The proportions of Streptococcus pneumoniae and Salmonella in all the bacterial isolaets from blood samples were higher in children compared to adults.Enterobacterales species showed various resistance rates to antimicrobial agents.Overall,≥58.0%,≥36.8% and ≥56.8% of E.coli strains were resistant to cefotaxime,gentamicin and levofloxacin respectively over the 7-year period.However,less than 2.5% of the E.coli strains were resistant to carbapenems.K.pneumoniae showed higher resistance rates to imipenem and meropenem than other Enterobacterales species.During the 7-year period,the prevalence of imipenem-resistant and meropenem-resistant K.pneumoniae increased from 21.4% and 19.9% in 2015 to 25.7% and 26.6% in 2021,respectively.However,carbapenems still maintained good antibacterial activity against other Enterobacterales,associaetd with lower resistance rates.In the 7-year period,Acinetobacter baumannii showed a dwonward trend in the resistance rates to imipenem and meropenem,but remained 72.9% and 73.2% respectively in 2021.The prevalence of imipenem-resistant and meropenem-resistant P.aeruginosa decreased from 26.7% and 22.9% in 2015 to 18.5% and 14.7% in 2021,respectively.The prevalence of PRSP was 1.5% in the isolaets from adults and and 0.8% in the isolates from children.Less than 3.0% of the Enterococcus faecium and Enterococcus faecalis strains were resistant to vancomycin,teicolanin,or linezolid.The prevalence of methicillin-resistant S.aureus (MRSA) and coagulase negative Staphylococcus (MRCNS) was 32.1% and 81.0%,respectively.The prevalence of MRSA was relatively stable,28.5% in 2015 and 28.0% in 2021.Conclusions Coagulase negative Staphylococcus,E.coli and K.pneumoniae were the main bacterial species isolated from blood samples in the hospitals participaing in the CHINET from 2015 to 2021.Significant sex and age differences were found in the distribution of bcterial isolates from blood samples.The overall resistance rates of the top bacetrial strains from blood samples to antimicrobial agents showed a downward trend.Ongoing surveillance of antimicrobial resistance for the isolates from blood samples is still essential for prescribing rational antimicrobial therapies and curbing bacterial resistance.
4.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
5.Distribution and antimicrobial resistance profiles of clinical isolates from blood samples:results from China Antimicrobial Surveillance Network (CHINET) from 2015 to 2021
Min ZHONG ; Xiangning HUANG ; Hua YU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yi XIE ; Mei KANG ; Shanmei WANG ; Yafei CHU ; Wenen LIU ; Yanming LI ; Dawen GUO ; Jinying ZHAO ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Ziyong SUN ; Zhongju CHEN ; Yunsong YU ; Jie LIN ; Jihong LI ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Fang DONG ; Zhiyong LÜ ; Han SHEN ; Wanqing ZHOU ; Sufang GUO ; Zhidong HU ; Jin LI ; Chuanqing WANG ; Pan FU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Lixia ZHANG ; Juan MA ; Yuxing NI ; Jingyong SUN ; Jinju DUAN ; Jianbang KANG ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Xuesong XU ; Chao YAN ; Yunjian HU ; Xiaoman AI ; Jinsong WU ; Yuemei LU ; Fangfang HU ; Lianhua WEI ; Fengmei ZOU ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Xiaobo MA ; Yanping ZHENG ; Kaizhen WEN ; Yirong ZHANG ; Yunsheng CHEN ; Qing MENG ; Xuefei HU ; Ruizhong WANG ; Hua FANG ; Ruyi GUO ; Yan ZHU ; Jilu SHEN ; Wenhui HUANG ; Bixia YU ; Jiao FENG ; Yong ZHAO ; Ping GONG ; Shunhong XUE ; Hongqin GU ; Wen HE ; Jiangshan LIU ; Chunlei YUE ; Longfeng LIAO ; Lin JIANG
Chinese Journal of Infection and Chemotherapy 2024;24(6):664-677
Objective To investigate the distribution and antimicrobial resistance of bacterial isolates from blood samples in the hospitals participating in China Antimicrobial Surveillance Network (CHINET) from 2015 to 2021.Methods Bacterial strains isolated from blood samples were collected from 52 medical centers participating in CHINET from 2015 to 2021 for analysis of bacetrial distribution and antimicrobial resistance.Results A total of 153591 isolates were collected,48.8% of which were gram-positive bacteria and 51.2% were gram-negative bacteria.The top five bacterial strains were coagulase negative Staphylococcus (28.2%),Escherichia coli (20.7%),Klebsiella (13.7%),Enterococcus (7.2%),and Staphylococcus aureus (6.6%).Compard to female patients,male patients showed lower proportion of E.coli and higher proportions of other bacterial species in all the bacterial isolaets from blood samples.The proportions of Streptococcus pneumoniae and Salmonella in all the bacterial isolaets from blood samples were higher in children compared to adults.Enterobacterales species showed various resistance rates to antimicrobial agents.Overall,≥58.0%,≥36.8% and ≥56.8% of E.coli strains were resistant to cefotaxime,gentamicin and levofloxacin respectively over the 7-year period.However,less than 2.5% of the E.coli strains were resistant to carbapenems.K.pneumoniae showed higher resistance rates to imipenem and meropenem than other Enterobacterales species.During the 7-year period,the prevalence of imipenem-resistant and meropenem-resistant K.pneumoniae increased from 21.4% and 19.9% in 2015 to 25.7% and 26.6% in 2021,respectively.However,carbapenems still maintained good antibacterial activity against other Enterobacterales,associaetd with lower resistance rates.In the 7-year period,Acinetobacter baumannii showed a dwonward trend in the resistance rates to imipenem and meropenem,but remained 72.9% and 73.2% respectively in 2021.The prevalence of imipenem-resistant and meropenem-resistant P.aeruginosa decreased from 26.7% and 22.9% in 2015 to 18.5% and 14.7% in 2021,respectively.The prevalence of PRSP was 1.5% in the isolaets from adults and and 0.8% in the isolates from children.Less than 3.0% of the Enterococcus faecium and Enterococcus faecalis strains were resistant to vancomycin,teicolanin,or linezolid.The prevalence of methicillin-resistant S.aureus (MRSA) and coagulase negative Staphylococcus (MRCNS) was 32.1% and 81.0%,respectively.The prevalence of MRSA was relatively stable,28.5% in 2015 and 28.0% in 2021.Conclusions Coagulase negative Staphylococcus,E.coli and K.pneumoniae were the main bacterial species isolated from blood samples in the hospitals participaing in the CHINET from 2015 to 2021.Significant sex and age differences were found in the distribution of bcterial isolates from blood samples.The overall resistance rates of the top bacetrial strains from blood samples to antimicrobial agents showed a downward trend.Ongoing surveillance of antimicrobial resistance for the isolates from blood samples is still essential for prescribing rational antimicrobial therapies and curbing bacterial resistance.
6.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
7.Research Progress on Biological Matrix Reference Materials in Forensic Toxicology.
Hang CHEN ; Jing HU ; Zheng QIAO ; Hong-Xiao DENG ; Min LÜ ; Wei LIU
Journal of Forensic Medicine 2023;39(2):176-185
Biological matrix reference material is a reference material that combines the target material with the biological matrix. The biological matrix reference material has higher consistency with the authentic specimens in forensic toxicology, and its application has a positive effect on improving the accuracy of test results. This paper reviews the research on the matrix reference materials corresponding to three common biological test materials (blood, urine and hair). In order to provide reference for the development and application of biological matrix reference materials in forensic toxicology, this paper mainly introduces the research progress of preparation technology of biological matrix reference materials and some existing products and their parameters evaluation.
Forensic Toxicology/methods*
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Hair
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Body Fluids
8.WHO Rehabilitation in Health System: Background, Framework and Approach, Contents and Implementation
Zhuo-ying QIU ; Joseph Kin Fun KWOK ; Lun LI ; Pui-yu LEUNG ; Xian-guang WU ; Di CHEN ; Hong-wei SUN ; Guo-xiang WANG ; Jie-jiao ZHENG ; Xiu-e SHI ; Jun LÜ ; Ai-min ZHANG ; Hong-zhuo MA
Chinese Journal of Rehabilitation Theory and Practice 2020;26(1):16-20
This paper explored the background, framework and approach, contents and implementation of WHO Rehabilitation in Health System using approaches of ICF and WHO Handbook for Guideline Development. The actions and significances of implementations of seven recommendations and one good practice statements on assistive products had been discussed.
9.IL-17D regulates recruitment of lung NK cells and promotion of Astragalus membranaceus
Hong-Yun LAN ; Xiao-Dan ZHENG ; Yu-Qi GUO ; Lei AN ; Xiao-Yan SUN ; Yan-Min LÜ ; Li WANG ; Cheng-Fang YAO
Chinese Journal of Immunology 2018;34(3):393-397
Objective:To investigate the role of IL-17D to regulate the recruitment of lung NK cells and the effects of Astragalus membranaceus on IL-17D.Methods:The lung metastasis of tumor model was established by injecting B16 melanoma cells through caudal vein.After being treated with IL-17D or Astragalus membranaceus respectively,the expression of IL-17D and NK cells in lung was detected by flow cytometry and RT-PCR.Results:The production of IL-17D and the content of NK cells in the lung tumor me-tastasis model were dramatically decreased.After treatment with IL-17D,the content of NK cells in lung was significantly increased and the lung tumor foci were decreased.Along with up-regulated recruitments of NK cells,CXCL9 and IL-15,which support NK cell recruitments and maintain survival,were significantly increased.Astragalus inhibited lung tumor developments in lung by increasing the IL-17D expression and up-regulated the lung NK cell content.Conclusion: IL-17D can regulate the lung recruitment of NK cells.Astragalus mongholicus can enhance the capacity of NK cell recruitment and promote anti-tumor immune effects by up-regulating the expression of IL-17D.
10.Data mining for points-selection rules in acupuncture treatment of mammary gland hyperplasia
xin Chun LU ; hong Yan LÜ ; Min MA ; juan Gui ZHANG ; Yi MA
Journal of Acupuncture and Tuina Science 2017;15(5):328-336
Objective:To explore and analyze the points-selection rules in acupuncture treatment of mammary gland hyperplasia (MGH) by data mining and statistical method. Methods:Clinical literatures about the treatment of MGH with acupuncture published in the recent 16 years were retrieved from Chinese Journal Full-text Database (CJFD) and established into a database by Excel. The SPSS 20 version software and Clementine 12.0 version software were adopted to analyze the frequency and association rules of points-selection in the treatment of MGH with acupuncture. Results:The top 3 points used most frequently in acupuncture treatment of MGH were Danzhong (CV 17), Taichong (LR 3) and Zusanli (ST 36); points from the Stomach Meridian of Foot Yangming and Liver Meridian of Foot Jueyin were most commonly used; the commonly selected points were predominantly distributed in thoracic and abdominal regions and lower limbs; emphasis on the combination use of local and distal points; of the specific points, the five Shu-Transmitting points were mostly used; association analysis showed that the associations among Taichong (LR 3), Danzhong (CV 17) and Zusanli (ST 36) were the most significant. Conclusion: The data mining results substantially accord with the general rules of acupuncture-moxibustion theories in traditional Chinese medicine, able to reflect the points-selection principles and features in acupuncture treatment of MGH and provide evidence for the points selection in the treatment of MGH in acupuncture clinic.

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