1.Effect of Gegen Qinliantang on Fecal Short-chain Fatty Acids in Rats with Antibiotic-associated Diarrhea Based on Targeted Metabonomics
Gang SU ; Guangyong YANG ; Xue HAN ; Qiumei TANG ; Weiyi TIAN ; Wenjia WANG ; Ping WANG ; Xiaohua TU ; Guangzhi HE
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(7):189-196
ObjectiveTo explore the impact of Gegen Qinliantang(GQT) on the fecal short-chain fatty acids(SCFAs) metabolism in antibiotic-associated diarrhea(AAD) through targeted metabolomics. MethodA total of 240 SD rats were randomly divided into six groups(n=40, half male and half female), including blank group, model group, bifidobiogen group(0.15 g·kg-1), and GQT high-, medium-, and low-dose groups(10.08, 5.04, 2.52 g·kg-1), except for the blank group, clindamycin(250 mg·kg-1) was given to all groups by gavage for modeling every day for 7 d. After successful modeling, each administered group was gavaged with the corresponding dose of the drug, and the blank and model groups were gavaged with an equal volume of normal saline solution, 1 time/d, for 14 d. At 0, 3, 7, 14 d after the drug intervention, eight rats were randomly selected from each group, respectively. Gas chromatography-time-of-flight mass spectrometry(GC-TOF-MS) was used to perform targeted metabolomic analysis of SCFAs in the feces of rats, and partial least squares-discriminant analysis(PLS-DA) was applied to compare the differences in metabolic profiles between groups at different treatment times, and to compare the changes in the contents of SCFAs in rat feces between groups. ResultPLS-DA results showed that the blank group could be clearly distinguishable from the model group, with GQT exhibiting a closer proximity to the blank group after 7 d of treatment. After further analyzing the composition of SCFAs, it was found that the proportion of acetic acid increased and the proportions of butyric acid, valeric acid, hexanoic acid and isovaleric acid decreased in the model group compared with the blank group. After the treatment with GQT, the proportions of butyric acid, isobutyric acid, valeric acid, and isovaleric acid increased, and the proportions of acetic acid, propionic acid and caproic acid decreased. Subsequent differential analysis revealed that GQT could significantly improve the content of butyric acid, and had a certain retrogressive effect on the contents of valeric acid and hexanoic acid. ConclusionThe medium dose group of GQT can improve the contents of SCFAs in AAD feces after 7 days of treatment, which may be related to the improvement of the composition ratio of SCFAs and the contents of butyric acid, valeric acid and caproic acid.
2.Advantages of intraventrilular intracranial pressure monitoring with modified paine point puncture in decompression of severe traumatic brain injury
He-Ping TIAN ; Qi ZHONG ; Geng-Huan WANG ; Hai-Hang ZHOU
Medical Journal of Chinese People's Liberation Army 2024;49(2):182-187
Objective To explore the advantages of modified Paine point puncture for intraventricular intracranial pressure(ICP)monitoring probe implantation during decompressive craniectomy(DC)for severe traumatic brain injury.Methods The clinical data of 48 patients with severe traumatic brain injury admitted from April 2020 to April 2022 in Jiaxing Second Hospital were retrospectively collected.All patients underwent DC combined with ICP monitoring probe implantation.According to different ICP monitoring methods,they were divided into observation group(23 cases)and control group(25 cases).The observation group underwent the implantation of the intracerebroventricular ICP monitoring probe by puncture at the modified Paine point in the DC incision,while the control group underwent implantation of intracerebroventricular ICP monitoring probe by drilling of the skull through contralateral incision of DC at the Kocher point.The preoperative general data,operation time,postoperative mannitol dose and duration,ICP monitoring duration,postoperative rebleeding rate,intracranial infection rate and Glasgow outcome score(GOS)at 3 months after the operation were compared between the two groups.Results There was no statistical difference between the two groups in general data,mannitol dosage,mannitol duration and ICP monitoring duration(P>0.05).The operation time,postoperative rebleeding rate and intracranial infection rate in observation group were lower than those in control group(P<0.05).In the GOS score at 3 months after the operation,there was no statistical difference between the two groups(P>0.05).Conclusions Compared with the traditional implantation of intraventricular ICP monitoring probe through Kocher point through skull drilling with contralateral incision of DC,the implantation of intraventricular ICP monitoring probe through modified Paine point in the DC incision for severe traumatic brain injury can shorten the operation time and lower the postoperative rebleeding rate and intracranial infection rate.
3.Bioequivalence study of tenofovir alafenamide fumarate tablets in Chinese healthy subjects
Xiao-Bin LI ; Nan WANG ; Ni-Na HU ; Ning WANG ; Chen-Dong DONG ; Xiao-Tong CUI ; He XIE ; Yan TIAN ; Wen-Ping WANG
The Chinese Journal of Clinical Pharmacology 2024;40(14):2113-2117
Objective To evaluate the pharmacokinetics(PK)of tenofovir alafenamide Fumarate tablets(25 mg)in healthy Chinese subjects after single oral administration to provide a basis for bioequivalence evaluation.Methods Using a single-dose,randomized,open-lable,two-period,two-way crossover design under fasting condition,while three-way crossover design under fed condition,42 healthy subjects respectively for fasting and fed study were enrolled,and randomized into two groups to receive a single dose of test product(T)or reference product(R)25 mg.Plasma concentration of tenofovir alafenamide and tenofovir were determined by liquid chromatography-tandem mass spectrometry(LC-MS/MS)method.The pharmacokinetic parameters were calculated by WinNonlin software(8.1 version)using non-compartmental model,and bioequivalence evaluation was performed for the two preparations.Relevant safety evaluations were performed during the trial.Results The test product and the reference product under fasting study,the main PK parameters of tenofovir alafenamide were as follows:Cmax were(215.17±94.24)and(199.30±71.11)ng·mL-1;AUC0-t were(135.44±71.60)and(123.91±53.82)h·ng·mL-1;the main PK parameters of tenofovir were as follows:Cmax were(7.30±2.27)and(7.12±1.74)ng·mL-1,AUC0-t of tenofovir were(237.16±47.09)and(230.06±43.41)h·ng·mL-1,respectively.The test product and the reference product under fed study,the main PK parameters of tenofovir were as follows:Cmax were(197.69±82.19)and(197.10±110.54)ng·mL-1;AUC0-t were(197.69±82.19)and(197.10±110.54)h·ng·mL-1;the main PK parameters of tenofovir were as follows:CMax were(2.57±1.37)and(2.58±1.31)ng·mL-1;AUC0-t were(227.08±74.33)and(238.51±128.30)h·ng·mL-1,respectively.The 90%confidence interval for geometric mean ratio of Cmax,AUC0-tof T and R under fed condition were between 80.00%-125.00%,respectively.The incidence of adverse events in fasting and fed tests was 21.43%and 30.95%,respectively,and no serious adverse event was reported.Conclusion The test formulation and reference formulation of tenofovir alafenamide fumarate tablets were equivalent and was safe.
4.Clinical Efficacy of Guiyuan Shujin Mixture in the Treatment of Lumbar Disc Herniation and Its Effect on Serum Nuclear Factor κB p65 Expression Level
Shu-Hui LIN ; Pian LI ; Ye RUAN ; Jin-Zhu LIANG ; Zi-Ming CAI ; He TIAN ; Wen-Ping LIN
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(7):1772-1778
Objective To investigate the clinical efficacy of Guiyuan Shujin Mixture in the treatment of patients with lumbar disc herniation(LDH)and to explore its possible therapeutic mechanism.Methods Sixty-eight patients with LDH of qi stagnation and blood stasis syndrome were randomly divided into trial group and control group,with 34 cases in each group.The control group was treated with Celecoxib Tablets and Mecobalamin Tablets orally,and the trial group was treated with Guiyuan Shujin Mixture on the basis of treatment for the control group.The course of treatment lasted for 4 weeks.Before and after treatment,the two groups were observed in the changes of the Visual Analogue Scale(VAS)score of low back pain and lower limb pain,Oswestry Disability Index(ODI)score,modified Japanese Orthopedic Association(JOA)score,serum levels of inflammatory factors of tumor necrosis factor α(TNF-α),interleukin 6(IL-6)and interleukin 1β(IL-1β),and serum nuclear factor-κB p65(NF-κB p65)level.After treatment,the clinical efficacy and safety of the two groups were evaluated.Results(1)During the trial,one case fell off in the trial group and 3 cases fell off in the control group.Eventually,33 cases in the trial group and 31 cases in the control group were included for the efficacy statistics.(2)After 4 weeks of treatment,the total effective rate of the trial group was 96.97%(32/33),and that of the control group was 87.10%(27/31).The intergroup comparison(tested by rank sum test)showed that the curative effect of the trial group was significantly superior to that of the control group(P<0.05).(3)After treatment,the VAS score and ODI score of low back pain and lower limb pain in the two groups were lower than those before treatment(P<0.05 or P<0.01),and the modified JOA score was higher than that before treatment(P<0.01).The decrease of VAS score and ODI score of low back pain and lower limb pain and the increase of modified JOA score in the trial group were significantly superior to those in the control group(P<0.05 or P<0.01).(4)After treatment,the serum levels of inflammation-related indicators of TNF-α,IL-6,IL-1β and NF-κB p65 in the two groups were lower than those before treatment(P<0.01),and the decrease in the trial group was significantly superior to that in the control group(P<0.01).(5)During the treatment,the incidence of adverse events in the trial group was 2.94%(1/34)and that in the control group was 8.82%(3/34),and the difference between the two groups was not significant(P>0.05).Conclusion Guiyuan Shujin Mixture exerts certain effect in the treatment of LDH patients with qi stagnation and blood stasis syndrome.It can effectively relieve the pain symptoms of patients,improve the lumbar function of patients,and reduce the expression levels of serum inflammatory factors and NF-κB p65.The mechanism may be related with the decrease of the level of inflammatory factors and with the inhibition of the activation of NF-κB signaling pathway.
5.MRI-based habitat radiomics analysis for identifying molecular subtypes of endometrial cancer:a feasible study from two institutions
Wen-Tao JIN ; Tian-Ping WANG ; Xiao-Jun CHEN ; Guo-Fu ZHANG ; Hai-Ming LI ; He ZHANG
Fudan University Journal of Medical Sciences 2024;51(6):890-899
Objective To develop an MRI-based habitat radiomics model for the preoperative prediction of endometrial cancer(EC)molecular subtypes.Methods Patients with pathologically proven EC from two hospitals were included in the training(n=270)and testing(n=70)cohorts.All patients had preoperative MRI and histological and molecular diagnoses.First,the tumor was divided into habitat subregions based on diffusion-weighted imaging(DWI)and contrast-enhanced(CE)images.Subsequently,habitat radiomic features were extracted from different subregions of T1-weighted imaging(T1WI),T2-weighted imaging(T2WI),DWI,and CE images.Three machine learning classifiers,including logistic regression,support vector machines,and random forests,were applied to develop predictive models for p53-abnormal endometrial cancer,with model performance validated.The model demonstrating the best overall predictive performance was selected as the habitat radiomics model.Using the same procedure,a whole-region radiomics model based on T1WI,T2WI,DWI,and CE sequences and a clinical model were constructed.The performance of the models was evaluated using receiver operating characteristic curves,and DeLong's test was employed to compare differences between the models.Decision curve analysis was used to assess the clinical benefits of the models'application.Results After feature selection,eight habitat radiomic features were retained to construct the habitat radiomics model,ten features for the whole-region radiomics model,and three clinical features for the clinical model.The habitat radiomics model achieved the highest area under the curve(AUC),with 0.855(0.788-0.922)in the training cohort and 0.769(0.631-0.907)in the testing cohort.DeLong's test showed that the habitat radiomics model outperformed the whole-region radiomics model in the training cohort(P=0.001),but there was no significant difference in the testing cohort(P=0.543).In both cohorts,the habitat radiomics model outperformed the clinical model(P=0.007,training cohort;P=0.038,testing cohort).Decision curve analysis(DCA)demonstrated that this model provided clinical benefit for diagnosis within a threshold probability range of approximately 0.2-0.8.Conclusion The MRI-based habitat radiomics model can accurately predict p53-abnormal EC,outperforming both the whole-region radiomics model and the clinical model,and is useful for the non-invasive molecular subtyping of endometrial cancer before surgery.
6.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
7.Analysis of nutritional status of nasopharyngeal carcinoma patients and its impact on quality of life
Kai ZHOU ; Xiao-Xia GOU ; Hu MA ; Guo-Ping HE ; Xin TIAN ; Hui XU ; Bi FENG
Parenteral & Enteral Nutrition 2024;31(5):280-287
Objective:To investigate the correlation between nutritional status and quality of life in inpatients with nasopharyngeal carcinoma and to analyze the factors affecting nutritional status,so as to provide evidence for clinical nutritional support treatment.Methods:In this study,we retrospectively collected data from patients with nasopharyngeal carcinoma who met the inclusion and exclusion criteria in the Head and Neck Oncology Department of Zunyi Medical University Affiliated Hospital from 2014 to 2019.The NRS 2002 scale was used for nutritional risk screening,the PG-SGA scale for nutritional status assessment and the EORTCQLQ-C30 V3.0 scale for quality of life assessment.To further explore the correlation between nutritional status and quality of life,as well as the factors affecting nutritional status.Results:A total of 216 patients were collected,including 168 male(77.78%);average age(50.5±10.58)years;26.85%were at nutritional risk(NRS 2002 score≥3);28.70%were moderate malnutrition(PG-SGA score 4-8),and 23.15%were severe malnutrition(PG-SGA score≥9).There were significant differences in several physical examinations(such as body weight,body mass index,muscle circumference at the midpoint of the upper arm,etc.)and blood biochemical indexes(such as prealbumin,neutrophils,urea nitrogen,etc.)of patients with different nutritional status were differed between groups(P<0.05).Univariate analysis showed that age≥65 years was a risk factor for the development of severe malnutrition(OR:3.429,95%CI:1.467 to 8.014,P=0.004),whereas a high level of education(senior high school and above)was a protective factor(OR:0.027,95%CI:0.011 to 0.064,P=0.000).The poorer the nutritional status of nasopharyngeal carcinoma patients,the lower the quality of life.Conclusion:Nasopharyngeal carcinoma patients have a high incidence of malnutrition;the poorer the nutritional status of the patient,the lower the quality of life;routine nutritional diagnosis and treatment of nasopharyngeal carcinoma patients after admission to the hospital is recommended to improve clinical outcomes.
8.Changing distribution and resistance profiles of common pathogens isolated from urine in the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yanming LI ; Mingxiang ZOU ; Wen'en LIU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; 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 ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; 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 ; 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 2024;24(3):287-299
Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8%(62 219/261 893),and gram-negative bacteria 76.2%(199 674/261 893).The most common species were E.coli(46.7%),E.faecium(10.4%),K.pneumoniae(9.8%),E.faecalis(8.7%),P.mirabilis(3.5%),P.aeruginosa(3.4%),SS.agalactiae(2.6%),and E.cloacae(2.1%).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2%,52.8%and 37.0%,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7%,18.5%,16.4%,and 40.3%,respectively.Lower than 10%of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90%of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was<2%.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.
9.Changing resistance profiles of Enterococcus in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Na CHEN ; Ping JI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; 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 ; 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 ; 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 ; 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 2024;24(3):300-308
Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7%)and Enterococcus faecalis(41.5%).The strains were mainly isolated from urinary tract specimens(46.9%±2.6%),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6%).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1%and 1.3%,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7%in 2015 to 3.4%in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3%.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.
10.Changing resistance profiles of Enterobacter isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shaozhen YAN ; Ziyong SUN ; Zhongju CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yi XIE ; Mei KANG ; Fengbo ZHANG ; Ping JI ; Zhidong HU ; Jin LI ; Sufang GUO ; Han SHEN ; Wanqing ZHOU ; Yingchun XU ; Xiaojiang ZHANG ; Xuesong XU ; Chao YAN ; Chuanqing WANG ; Pan FU ; Wei JIA ; Gang LI ; Yuanhong XU ; Ying HUANG ; Dawen GUO ; Jinying ZHAO ; Wen'en LIU ; Yanming LI ; Hua YU ; Xiangning HUANG ; Bin SHAN ; Yan DU ; Shanmei WANG ; Yafei CHU ; Yuxing NI ; Jingyong SUN ; Yunsong YU ; Jie LIN ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Yan JIN ; Chunhong SHAO ; Jihong LI ; Lixia ZHANG ; Juan MA ; Yunzhuo CHU ; Sufei TIAN ; Jinju DUAN ; Jianbang KANG ; Ruizhong WANG ; Hua FANG ; Fangfang HU ; Yunjian HU ; Xiaoman AI ; Fang DONG ; Zhiyong LÜ ; Hong ZHANG ; Chun WANG ; Yong ZHAO ; Ping GONG ; Lei ZHU ; Jinhua MENG ; Xiaobo MA ; Yanping ZHENG ; Jinsong WU ; Yuemei LU ; Ruyi GUO ; Yan ZHU ; Kaizhen WEN ; Yirong ZHANG ; Chunlei YUE ; Jiangshan LIU ; Wenhui HUANG ; Shunhong XUE ; Xuefei HU ; Hongqin GU ; Jiao FENG ; Shuping ZHOU ; Yan ZHOU ; Yunsheng CHEN ; Qing MENG ; Bixia YU ; Jilu SHEN ; Rui DOU ; Shifu WANG ; Wen HE ; Longfeng LIAO ; Lin JIANG
Chinese Journal of Infection and Chemotherapy 2024;24(3):309-317
Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5%in all clinical isolates amd 5.7%in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7%(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)%,followed by secretions/pus(16.4±2.3)%and urine(16.0±0.9)%.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9%),and only(7.1±0.8)%of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)%compared to the inpatients in any other departement.Overall,≤ 7.9%of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6%of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7%vs 3.9%).Overall,≤8.1%of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5%of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0%over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.

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