1.Empirical study of input, output, outcome and impact of community-based rehabilitation stations
Xiayao CHEN ; Ying DONG ; Xue DONG ; Zhongxiang MI ; Jun CHENG ; Aimin ZHANG ; Didi LU ; Jun WANG ; Jude LIU ; Qianmo AN ; Hui GUO ; Xiaochen LIU ; Zefeng YU
Chinese Journal of Rehabilitation Theory and Practice 2026;32(1):83-89
ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.
2.Comparative Study on the Effects of Qingchang Wenzhong Decoction (清肠温中方) on the Intestinal Mucus Barrier in Conventional and Pseudo-Germ-Free Model Mice of Acute Ulcerative Colitis
Mingxu GAO ; Leilei LIU ; Lijie LU ; Jiali WANG ; Juncong HU ; Yangzhe LIN ; Qirui LIU ; Yue DONG ; Luyue WANG ; Zeyu XUE ; Junxiang LI ; Lei SHI
Journal of Traditional Chinese Medicine 2026;67(14):1528-1537
ObjectiveTo explore the mechanisms of Qingchang Wenzhong Decoction (清肠温中方, QWD) in treating ulcerative colitis (UC). MethodsA total of 100 male C57BL/6J mice were assigned to a pseudo-germ-free group (n=45) and a conventional group (n=55) using a random number table. Pseudo-germ-free model was established by giving antibiotic treatment and subsequently subjected to acute UC induction. After the model was successfully established, the 45 pseudo-germ-free acute UC mice were randomly allocated to a pseudo-germ-free model group, a pseudo-germ-free QWD group, and a pseudo-germ-free mesalazine group, with 15 mice in each group. The 55 conventional mice were randomly divided into a normal control group (n=10), as well as a conventional model group, a conventional QWD group, and a conventional mesalazine group, with 15 mice in each group. Except for the normal control group, acute UC models were established in all other groups. Mice in the control group received no intervention. From day 32 of the experiment, mice in the pseudo-germ-free QWD group and the conventional QWD group were administered with QWD granules at a dose of 9.71 g/(kg·d) by gavage with deionized water, while those in the pseudo-germ-free mesalazine group and the conventional mesalazine group were given mesalazine enteric-coated tablets at a dose of 151.67 mg/(kg·d) by gavage. Mice in the remaining groups received an equal volume of deionized water once daily for 7 consecutive days. On day 25 of the experiment, six mice were randomly selected from both the pseudo-germ-free group and the conventional group to measure body weight, and fecal samples were collected for 16S rDNA sequencing to compare differences in gut microbiota, including operational taxonomic units (OTUs), Shannon index, Observed_species index, and phylogenetic diversity (PD whole tree). On day 39, body weight was measured in all groups, and the disease activity index (DAI) was evaluated. Colon length and colon wet weight were recorded. Histopathological changes in colonic tissues were assessed by hematoxylin and eosin (HE) staining, and histological injury scores were determined. In addition, the expression levels of mucopolysaccharides and mucin 2 (MUC2) in colonic tissues were measured. ResultsOn day 25, there was no significant difference in body weight between the pseudo-germ-free group and the conventional microbiota group (P>0.05). Compared to the conventional microbiota group, the pseudo-germ-free group showed significantly reduced OTUs, Shannon index, Observed_species index, and PD whole tree (P<0.01). On day 39, compared to the normal control group, mice in the conventional model group showed a significant decrease in the body weight and an increase in DAI, along with increased colon wet weight, shortened colon length, markedly elevated histopathological scores, and reduced expression of mucopolysaccharides and MUC2 (P<0.01). In contrast, no significant differences were observed in these parameters in the pseudo-germ-free model group (P>0.05). Compared to the conventional model group, the conventional QWD group showed significant improvement in all measured parameters, whereas the conventional mesalazine group showed reductions only in DAI scores and colon wet weight (P<0.01). No statistically significant differences were observed among the pseudo-germ-free model group, the pseudo-germ-free QWD group, and the pseudo-germ-free mesalazine group (P>0.05). ConclusionQWD may promote the reconstruction of the intestinal mucus barrier by regulating the intestinal flora, thereby exerting a therapeutic effect on acute UC.
3.Comparative Study on the Effects of Qingchang Wenzhong Decoction (清肠温中方) on the Intestinal Mucus Barrier in Conventional and Pseudo-Germ-Free Model Mice of Acute Ulcerative Colitis
Mingxu GAO ; Leilei LIU ; Lijie LU ; Jiali WANG ; Juncong HU ; Yangzhe LIN ; Qirui LIU ; Yue DONG ; Luyue WANG ; Zeyu XUE ; Junxiang LI ; Lei SHI
Journal of Traditional Chinese Medicine 2026;67(14):1528-1537
ObjectiveTo explore the mechanisms of Qingchang Wenzhong Decoction (清肠温中方, QWD) in treating ulcerative colitis (UC). MethodsA total of 100 male C57BL/6J mice were assigned to a pseudo-germ-free group (n=45) and a conventional group (n=55) using a random number table. Pseudo-germ-free model was established by giving antibiotic treatment and subsequently subjected to acute UC induction. After the model was successfully established, the 45 pseudo-germ-free acute UC mice were randomly allocated to a pseudo-germ-free model group, a pseudo-germ-free QWD group, and a pseudo-germ-free mesalazine group, with 15 mice in each group. The 55 conventional mice were randomly divided into a normal control group (n=10), as well as a conventional model group, a conventional QWD group, and a conventional mesalazine group, with 15 mice in each group. Except for the normal control group, acute UC models were established in all other groups. Mice in the control group received no intervention. From day 32 of the experiment, mice in the pseudo-germ-free QWD group and the conventional QWD group were administered with QWD granules at a dose of 9.71 g/(kg·d) by gavage with deionized water, while those in the pseudo-germ-free mesalazine group and the conventional mesalazine group were given mesalazine enteric-coated tablets at a dose of 151.67 mg/(kg·d) by gavage. Mice in the remaining groups received an equal volume of deionized water once daily for 7 consecutive days. On day 25 of the experiment, six mice were randomly selected from both the pseudo-germ-free group and the conventional group to measure body weight, and fecal samples were collected for 16S rDNA sequencing to compare differences in gut microbiota, including operational taxonomic units (OTUs), Shannon index, Observed_species index, and phylogenetic diversity (PD whole tree). On day 39, body weight was measured in all groups, and the disease activity index (DAI) was evaluated. Colon length and colon wet weight were recorded. Histopathological changes in colonic tissues were assessed by hematoxylin and eosin (HE) staining, and histological injury scores were determined. In addition, the expression levels of mucopolysaccharides and mucin 2 (MUC2) in colonic tissues were measured. ResultsOn day 25, there was no significant difference in body weight between the pseudo-germ-free group and the conventional microbiota group (P>0.05). Compared to the conventional microbiota group, the pseudo-germ-free group showed significantly reduced OTUs, Shannon index, Observed_species index, and PD whole tree (P<0.01). On day 39, compared to the normal control group, mice in the conventional model group showed a significant decrease in the body weight and an increase in DAI, along with increased colon wet weight, shortened colon length, markedly elevated histopathological scores, and reduced expression of mucopolysaccharides and MUC2 (P<0.01). In contrast, no significant differences were observed in these parameters in the pseudo-germ-free model group (P>0.05). Compared to the conventional model group, the conventional QWD group showed significant improvement in all measured parameters, whereas the conventional mesalazine group showed reductions only in DAI scores and colon wet weight (P<0.01). No statistically significant differences were observed among the pseudo-germ-free model group, the pseudo-germ-free QWD group, and the pseudo-germ-free mesalazine group (P>0.05). ConclusionQWD may promote the reconstruction of the intestinal mucus barrier by regulating the intestinal flora, thereby exerting a therapeutic effect on acute UC.
4.Effect and mechanism of BCG immunotherapy in mice melanoma model
Mingze XU ; Huanhuan NING ; Yanzhi LU ; Jian KANG ; Yujun PENG ; Jingyao ZHANG ; Jiahao HU ; Ting DAI ; Mengjuan DONG ; Sa XUE ; Yinlan BAI
Chinese Journal of Immunology 2025;41(6):1420-1426
Objective:To investigate immunotherapy effects and mechanism of BCG and recombinant BCG(rBCG)with c-di-AMP as adjuvant on melanoma in mice model.Methods:Melanoma mice model was established by B16F10 cell subcutaneous injec-tion in groin,and treated with 1×106 CFU of BCG and rBCG by adjacent injection of subcutaneous tumor for 3 times,respectively.Survival of melanotic mice,tumor growth and metastasis were observed.Tumor tissues of mice were isolated to prepare cell suspen-sion,and proportion of immune cells were detected by flow cytometry.Transcriptional levels of immune-related genes in tumor tissues were detected by qRT-PCR.Results:Both BCG and rBCG immunotherapy could significantly inhibit growth in melanoma mice and prolong survival time of mice.rBCG showed better inhibition on metastasis than BCG.Both strains significantly reduced proportion of M2-type macrophages and myeloid-derived suppressor cell associated with tumor growth and metastasis.Both two strains promoted infiltration of lymphocytes in tumor tissues,and rBCG significantly increased proportion of B cells in tumor.BCG immunotherapy upregulated transcription levels of metastasis-related cytokines,while rBCG therapy had no effects on transcriptions of these genes.Conclusion:Both BCG and rBCG have immunotherapeutic effects on melanotic mice,and rBCG with c-di-AMP as adjuvant shows better inhibition on tumor metastasis than BCG,which mechanism was related to regulation of immune response in tumor tissues.
5.Comparison of chemical constituents in traditional decoction and formula granule decoction of Wendan Decoction
Tan XUE ; Man-wen XU ; Xue-hua FAN ; Feng-yu DONG ; Yan MIAO ; Jia-ning SUN ; Jun-han SHI ; Lu ZHANG ; Jing YAO ; Rui-xin LIU
Chinese Traditional Patent Medicine 2025;47(2):384-394
AIM To compare the chemical constituents in traditional decoction and formula granule decoction of classical famous prescription Wendan Decoction.METHODS The HPLC fingerprints were established,after which the contents of adenosine,synephrine,liquiritin,naringin,hesperidin,6-gingerol and adenosine cyclophosphate were determined,cluster analysis,principal component analysis and multidimensional scaling analysis were adopted in the investigation of component differences,and the equivalent of formula granules was adjusted.RESULTS The similarities of HPLC fingerprints for 10 batches of traditional decoctions were higher than those of HPLC fingerprints for 9 batches of formula granule decoctions(P<0.01).Adenosine,synephrine,liquiritin,hesperidin and cyclic adenosine monophosphate demonstrated higher contents in traditional decoctions than those in formula granule decoctions(P<0.05),6-gingerol displayed lower content than that in the latter produced by manufacturers A,C(P<0.05),which was higher than that in the latter produced by manufacturer B(P<0.01).Various batches of traditional decoctions and formula granule decoctions could be obviously distinguished,adenosine,synephrine and hesperidin exhibited great influences on the classification of principal component analysis,and the quality of formula granule decoctions produced by manufacturer C was closer to that of traditional decoctions.After equivalent correction,the contents of various constituents in formula granule decoctions produced by manufacturers A,C showed no significant differences as compared with those in traditional decoction(P>0.05).CONCLUSION The formula granules of Wendan Decoction from different manufacturers exist quality differences,so the preparation process and extraction process of this preparation should be optimized to improve quality,and equivalent ratio should be adjusted according to actual requirements to ensure its scientific and rational clinical application.
6.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
7.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; 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(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
8.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
9.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; 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(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
10.Study on the Influence of Ultrasound Parameters on the Determination of Particle Size and Particle Size Distribution of Budesonide Suspension for Inhalation by Laser Diffraction Method
Dong CHENG ; Minhua XUE ; Jing YIN ; Xuhua QIU ; Mengyuan LIU ; Yihong LU
Herald of Medicine 2025;44(11):1784-1788
Objective To study the influence of laser diffraction ultrasound parameters on the determination of particle size and particle size distribution of budesonide suspension for inhalation,and explore the rationality of ultrasound parameter settings of the laser diffraction method.Methods The Mastersizer 3000 was set to measure the particle size and particle size distribution of budesonide suspension for inhalation from 6 companies at different ultrasonic times,and the FlowCam was used to test the samples simultaneously.Results The ultrasound parameters have a significant impact on the particle size and particle size distribution of budesonide suspension for inhalation in some companies,and the FlowCam test results show that particles in some samples exhibit aggregation,which can be dispersed by ultrasound and affect the results.Conclusion It is necessary to optimize the ultrasound parameters of laser diffraction to determine the particle size and particle size distribution of suspension for inhalation,and verify the rationality of the ultrasound parameter settings through microscopic techniques.

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