1.Method Development and Validation for the Detection of Elemental Impurities in Drugs
Xue FENG ; Yanchen HU ; Yamin WANG ; Lei CHEN ; Li ZHU
Herald of Medicine 2025;44(2):213-222
The study and control of elemental impurities are crucial for ensuring the quality and safety of drugs.The ICH has published the Q3D guideline as a globally harmonised approach for the research and control of elemental impurities in drugs.In accordance with the requirements of the ICH Q3D guideline for risk assessment and control of elemental impurities,how to carry out the development and validation of detecting methods for elemental impurities is important to analysts.In this research,the key points of ICP-AES and ICP-MS method development are summarized,including the determination of the types and limits of the elements to be measured,the selection of pretreatment methods,interferences and corrections;the validation requirements for the two methods in ICH Q2(R2)and different pharmacopoeial general rules are analyzed,and the evaluation methods of each validation experiments are compared in detail.This paper can provide a reference for the development and validation of detecting methods for elemental impurities,and research ideas for related research workers.
2.Exploring effect of grifola frondosa extract on intestinal inflammatory response in rats with ulcerative colitis based on SPHK1/S1P signaling pathway
Han DU ; Xue JIN ; Xiande MA ; Ping LEI ; Mosi DONG ; Jie CHEN ; Xinzhu XU ; Yuqing ZHANG ; Xiaowei HAN
Chinese Journal of Immunology 2025;41(4):847-853
Objective:To investigate the immunological mechanism by which grifola frondosa extract improves colonic tissue inflammation in rats with ulcerative colitis(UC)through the sphingosine kinase 1(SPHK1)/sphingosine-1-phosphate(S1P)signaling pathway.Methods:Forty male SD rats were randomly divided into five groups:blank group,model group,sulfasalazine treatment group(SASP group),grifola frondosa extract treatment group(GF group),and sulfasalazine combined with grifola frondosa extract treatment group(SASP+GF group).UC model was established using a 3%dextran sulfate sodium(DSS)free drinking method.After one week,each treatment group received sulfasalazine 0.3 g/(kg·d),grifola frondosa extract 10 mg/(kg·d),and combination of both drugs by gavage.During the experiment,the general condition of the rats was observed,the disease activity index(DAI)score was re-corded and the protein content and positive expression levels of SPHK1,S1P,tumor necrosis factor receptor-associated factor 2(TRAF2)and TNF-α in rat colon tissue were detected by immunohistochemistry.mRNA and protein expression levels of SPHK1,S1P,TRAF2 and TNF-α in rat colon tissue were measured by RT-qPCR and Western blot.Results:Compared with the blank group,the general condition of the model group rats were poor,the DAI score was significantly increased,and the protein positive expres-sion,mRNA and protein expression levels of SPHK1,S1P,TRAF2 and TNF-α in colon tissue were significantly increased(P<0.01).Compared with the model group,the general condition of the rats in each treatment group improved significantly,the DAI score was decreased(P<0.01),and the positive expression of each target protein was significantly reduced(P<0.01),especially in the GF group and SASP+GF group;the mRNA and protein expression levels of SPHK1 and TRAF2 were reduced to varying degrees(P<0.01 or P<0.05),while the mRNA and protein expression levels of S1P and TNF-α only decreased significantly in the GF group and SASP+GF group(P<0.01).Compared with the SASP group,the GF group only showed a decrease in SPHK1 protein expression,TNF-α mRNA,and protein expression levels,while the SASP+GF group showed significant reductions in all targets(P<0.01 or P<0.05).Compared with the GF group,the SASP+GF group showed significant reductions in SPHK1 protein positive expression and content,S1P mRNA expression levels,and TNF-α protein content(P<0.05 or P<0.01).Conclusion:Grifola frondosa extract may alleviate co-lonic tissue inflammation in rats with UC by inhibiting the activation of the SPHK1/S1P pathway,restoring intestinal mucosal barrier function,and improving symptoms of UC.
3.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.
4.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.
5.Clinical study of Hewei Jiangni Formula in patients with non-erosive gastroesophageal reflux disease and cold-heat complex syndrome
Shuangyuan ZHANG ; Hanqing CHEN ; Junxiang LI ; Tangyou MAO ; Lei SHI ; Zhengdao LIN ; Chuchu XUE ; Xiaohong LI
Journal of Beijing University of Traditional Chinese Medicine 2025;48(8):1107-1114
Objective To observe and analyze the clinical efficacy of Hewei Jiangni Formula in treating patients with non-erosive gastroesophageal reflux disease(NERD)and cold-heat complex syndrome and explore its regulatory mechanism on visceral hypersensitivity.Methods Sixty patients with NERD and cold-heat complex syndrome diagnosed at the Gastroenterology Clinic of Dongfang Hospital,Beijing University of Chinese Medicine from January 2021 to Decemer 2023,were randomly divided into the Hewei Jiangni Formula group and omeprazole group,with 30 patients per group.The Hewei Jiangni Formula group was treated with Hewei Jiangni Formula and omeprazole enteric-coated tablets placebo,whereas the omeprazole group was treated with omeprazole enteric-coated tablets and Hewei Jiangni Formula placebo.The treatment period was scheduled to last for 8 weeks.The primary outcome indicators(Gastroesophageal Reflux Disease Quality of Life Questionnaire(GERD-Q)scale score:response rate,total score,and single symptom score)and secondary outcome indicators(traditional Chinese medicine clinical scores scale)were recorded before and after treatment in both groups.Ten healthy individuals were recruited from the Physical Examination Center of Dongfang Hospital,Beijing University of Chinese Medicine,as the healthy control group.The expression levels of mast cell tryptase(MCT),protease-activated receptor 2(PAR2),transient receptor potential vanilloid 1(TRPV1),substance P(SP),calcitonin gene-related peptide(CGRP),5-hydroxytryptamine(5-HT),and 5-hydroxytryptamine 3 receptor(5-HT3R)were recorded.These indicators were then used for the following comparisons:the NERD patients vs.the healthy group before treatment;the Hewei Jiangni Formula group vs.the omeprazole group after treatment;the intra-group comparisons within both NERD groups.Changes in serum levels of these indicators were observed before and after treatment in both NERD groups.Results According to the GERD-Q scores before and after treatment,the effective rate was 90.00%in the Hewei Jiangni Formula group and 86.67%in the omeprazole group,with no significant differences.Both groups exhibited improved symptoms of heartburn,regurgitation,upper abdominal pain,and sleep disorders caused by heartburn or regurgitation(P<0.05);however,neither group exhibited significantly improved nausea(P>0.05).Before treatment,MCT,PAR2,TRPV1,SP,CGRP,5-HT,and 5-HT3R expression levels in both NERD groups were significantly higher than those in the healthy control group(P<0.05).After treatment with Hewei Jiangni Formula or omeprazole enteric-coated tablets,the expression levels of these indicators decreased in both groups(P<0.05).The omeprazole group was superior to Hewei Jiangni Formula in reducing 5-HT3R expression(P<0.05).Conclusion Hewei Jiangni Formula significantly improves the symptoms of patients with NERD and cold-heat complex syndrome,with efficacy comparable to that of omeprazole enteric-coated tablets.It is superior to omeprazole in improving symptoms of spleen yang deficiency,such as loss of appetite,fatigue,borborygmus with loose stools,and cold extremities.Hewei Jiangni Formula reduces MCT,PAR2,TRPV1,SP,CGRP,5-HT,and 5-HT3R expression levels,regulates related signaling pathways,and alleviates visceral hypersensitivity.
6.Comparison of effect of different types of exercise on gait and balance for stroke patients
Ziang ZHANG ; Jing CHEN ; Mengru SHEN ; Zongxiao GENG ; Xue HAN ; Xu ZHAO ; Lei XU
Chinese Journal of Rehabilitation Theory and Practice 2025;31(8):896-905
Objective To compare the effect of moderate-intensity continuous training(MICT)and high-intensity interval training(HIIT)on gait and balance for stroke patients.Methods From December,2023 to December,2024,96 patients with post-stroke gait and balance dysfunction were se-lected from the First Affiliated Hospital of Bengbu Medical University,and randomly divided into control group(n=32),MICT group(n=32)and HIIT group(n=32).The control group received routine comprehensive reha-bilitation therapy,while MICT and HIIT groups received additional respective training,for four weeks.They were measured with symmetry indexes(SI)of mean pressure and footprint area during eyes-open and eyes-closed condition,as well as anterior-posterior and medial-lateral displacement of the center of mass,before and after treatment;while they were assessed with Berg Balance Scale(BBS),distance of 6-minute walk test(6MWT),time of Timed Up&Go test(TUGT)and 10-meter walk test(10MWT),and Fugl-Meyer Assessment-Lower Extremities(FMA-LE).Results The main effects of time(F>351.683,P<0.001)and groups(F>4.945,P<0.05),and the interaction effects(F>16.919,P<0.001)were significant for BBS scores,distance of 6MWT,time of TUGT and 10MWT,and FMA-LE scores;and all the indicators were better in MICT group and HIIT group than in the control group(P<0.05)after treatment,and they were better in HIIT group than in MICT group(P<0.05)except BBS score.Un-der eyes-open condition,the main effects of time(F>64.684,P<0.001)and groups(F>9.472,P<0.001),and the interaction effects(F>10.562,P<0.001)were significant for SI of mean pressure and footprint area,and an-terior-posterior and medial-lateral displacement of the center of mass;and all the indicators were better in MICT group and HIIT group than in the control group(P<0.001)after treatment,and they were better in HIIT group than in MICT group(P<0.05).Under eyes-closed condition,the main effects of time(F>107.730,P<0.001)and groups(F>4.275,P<0.05),and the interaction effects(F>7.985,P<0.05)were significant for SI of mean pressure and footprint area,and anterior-posterior and medial-lateral displacement of the center of mass;and SI of mean pressure was better in HIIT group than in MICT group(P<0.05),the other indicators were better in MICT group and HIIT group than in the control group(P<0.001)after treatment.Conclusion Both HIIT and MICT can improve gait and balance for stroke patients,and HIIT is more effective on gait and static balance with eyes open,but similar on static balance with eyes closed.
7.Study on multimodal models based on radiomics and deep learning for predicting acute respiratory distress syndrome in patients with acute pancreatitis
Ran TAO ; Lei ZHANG ; Yuzheng XUE ; Yiping SHEN ; Meiyu CHEN ; Yu WANG ; Minyue YIN ; Jinzhou ZHU
Chinese Journal of Pancreatology 2025;25(5):341-348
Objective:To establish and validate a multimodal model based on radiomics and deep learning for predicting acute pancreatitis (AP) complicated with acute respiratory distress syndrome (ARDS).Methods:Patients diagnosed with AP from The First Affiliated Hospital of Soochow University, Donghai County People's Hospital and Jintan Affiliated Hospital of Jiangsu University between January 2017 and December 2023 were enrolled. Based on the diagnosis of ARDS within 1 week after admission, the patients were classified into the ARDS group and the non-ARDS group. Patients in the First Affiliated Hospital of Soochow University ( n=406) was used as the training set (non-ARDS group n=212 vs ARDS group n=194), while Donghai and Jintan hospitals served as the test set ( n=175; non-ARDS group n=104 vs ARDS group n=71). Clinical data, laboratory tests and the occurrence of systemic inflammatory response syndrome (SIRS) within 24 hours after admission were collected. Scoring systems such as bedside index for severity in acute pancreatitis (BISAP), Ranson score and modified CT severity index (MCTSI) were calculated. Radiomics features were extracted from three-dimensional CT images to develop a radiomics model based on XGBoost algorithm. At the same time, a deep learning model was constructed using deep convolutional networks to extract deep features. Finally, clinical features and the predictions from the aforementioned models were integrated to establish a multimodal model based on XGBoost algorithm. To enhance model visualization, variable importance ranking and local interpretable visualization were used. The receiver operating characteristic (ROC) curves of the three models and the three scores including BISAP, Ranson and MCTSI were plotted and the area under the curves (AUCs) were calculated to evaluate the prediction performance for ARDS in AP patients, as well as sensitivity and specificity. Results:In the multimodal model for predicting ARDS in AP patients, predictions of the deep learning model and the radiomics model were the most important variables, followed by SIRS, C-reactive protein, procalcitonin, albumin, glucose, creatinine, neutrophil, and Ca 2+. In the training set, the multimodal model achieved an AUC of 0.933 for predicting ARDS in AP patients, higher than the radiomics model (0.727), the deep learning model (0.877), MCTSI (0.870), Ranson (0.620) and BISAP (0.898). In the test set, the model's AUC was 0.916 for predicting ARDS in AP patients, higher than the radiomics model (0.660), the deep learning model (0.864), MCTSI (0.851), Ranson (0.609), and BISAP (0.860). Conclusions:Based on clinical structured data, radiomics and deep learning features, the multimodal model could predict the risk of ARDS in AP patients at an early stage, whose performance is better than the single-modal models and the traditional scoring systems.
8.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.
9.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
10.Exploration and reflection on the mutual recognition of medical ethical review results in the Beijing-Tianjin-Hebei region:based on the promotion of tertiary medical and health institutions in Tianjin
Lei SONG ; Wenxiao ZHANG ; Bin LI ; Chen XUE ; Wei CUI
Chinese Medical Ethics 2025;38(8):989-995
The construction of medical ethical review is the basic guarantee for strengthening the ethical governance of medical science and technology,and mutual recognition of ethical review results serves as a pivotal approach to accelerate the construction of ethical review.This paper conducted a questionnaire survey on 30 tertiary medical and health institutions with clinical trial qualifications in Tianjin,based on the exploration of the implementation of the Notice on the Implementation of Mutual Recognition of Medical Ethics Review Results in the Beijing-Tianjin-Hebei Region jointly issued by the Health Committees of the three regions in Tianjin's tertiary medical and health institutions.By investigating and analyzing the situation of clinical trials,ethics committees,and mutual recognition from 2021 to 2023,the regular reasons affecting the promotion of mutual recognition of ethical review results in the Beijing-Tianjin-Hebei region were identified,and reasonable recommendations were proposed.These aimed to offer references for the Tianjin region in deepening the integration of Beijing-Tianjin-Hebei development and accelerating the promotion of regional ethical mutual recognition work,thereby advancing the construction and development of medical ethical review.

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