1.Inhibitory effect of Heidihuang Pills on renal fibrosis in a rat model of chronic renal failure via regulation of IGF-1 expression
Li-Ying YE ; Guang-Hui PAN ; Ping ZHAO ; Ze-Peng WANG ; Cheng LIU ; Ying-Ying LI ; Fa-Rong ZHANG
Chinese Traditional Patent Medicine 2024;46(3):788-794
AIM To explore the effect of Heidihuang Pills on renal fibrosis in a rat model of chronic renal failure(CRF)and its mechanism.METHODS Wistar rats were randomly divided into the blank group for normal feeding and the model group for the establishment of CRF rat models by 5/6 nephrectomy.Subsequently,the successfully established rat models were randomly divided into the model group,the Heidihuang Pills group(10.43 g/kg),and the Heidihuang Pills+IGF-1R blocker(JB1)group for a regimen of 7-day subcutaneous injection of 18 μg/kg JB1 followed by gavage of 10.43 g/kg Heidihuang Pills.Eight weeks after the administration,the rats had their serum levels of Scr and BUN detected;their pathological changes of renal tissue observed by HE and Masson staining;their renal protein expressions of TGF-β,HIF-1α and α-SMA detected by immunohistochemistry;their renal protein expressions of IGF-1R and TGF-β detected by Western blot;and their renal mRNA expressions of IGF-1R and TGF-β detected by RT-qPCR.RESULTS Compared with the blank group,the model group displayed increased serum levels of Scr and BUN(P<0.05);increased,degree of renal fibrosis,and renal fibrosis area(P<0.05);increased renal expressions of TGF-β,HIF-1α,α-SMA proteins and TGF-β mRNA(P<0.05);and decreased expressions of IGF-1R mRNA and protein(P<0.05).Compared with the model group,the Heidihuang Pills group displayed decreased serum Scr and BUN levels(P<0.05);decreased inflammatory cells in renal interstitium and the fibrosis degree(P<0.05);decreased renal expressions of TGF-β,HIF-1α,α-SMA proteins and TGF-β mRNA(P<0.05);and increased expressions of IGF-1R mRNA and protein(P<0.05).However,the administration of JB1 could weaken the improvement effect of Heidihuang Pills on renal fibrosis in CRF rats(P<0.05).CONCLUSION Heidihuang Pills can inhibit the renal fibrosis in CRF rats,and the inhibition process is related to up-regulated IGF-1 expression and promoted combination of IGF-1 and IGF-1R.
2.Serum levels of SOX6 and PTEN and their clinical significance in patients with acute myocardial infarction
Ying ZHANG ; Jintong ZHAO ; Tianping YU ; Tao YAN ; Ping PAN
Chinese Journal of Geriatric Heart Brain and Vessel Diseases 2024;26(1):38-41
Objective To investigate the expression and clinical significance of SRY-box transcrip-tion factor 6(SOX6)and protein tyrosine phosphatase gene(PTEN)in patients with acute myo-cardial infarction(AMI).Methods A total of 100 AMI patients admitted to Zibo First Hospital and Zibo Central Hospital from January 2021 to March 2022 were enrolled as the study group,and according to the occurrence of major adverse cardiovascular events(MACE),they were grouped into MACE subgroup(52 cases)and non-MACE subgroup(48 cases).Another 110 volunteers who taking physical examination in above 2 hospitals during the same period were subjected as the control group.The levels of PTEN and SOX6 in the serum were detected,and Pearson correla-tion analysis was performed to investigate the correlation of serum PTEN and SOX6 levels with clinical indicators.ROC curve was drawn to assess the diagnostic value of PTEN and SOX6 levels for diagnosis and prognosis of AMI.Results The study group had significantly decreased serum mRNA level of SOX6(0.69±0.14 vs 1.03±0.16,P<0.01)and increased serum mRNA level of PTEN(1.56±0.15 vs 1.05±0.08,P<0.01)than the control group.Similar results were seen in the MACE subgroup than the non-MACE subgroup(SOX6:0.61±0.15 vs 0.78±0.13,P<0.01;PTEN:1.74±0.18 vs 1.37±0.12,P<0.01).Pearson correlation analysis showed that the serum level of PTEN was positively,and that of SOX6 was negatively correlated with cTnI,CK-MB and Gensini score(P<0.01).ROC curve analysis indicated that the AUC value of combined serum SOX6 and PTEN levels for diagnosis of AMI was 0.932(95%CI:0.889-0.962),and that for pre-dicting MACE was 0.933(95%CI:0.866-0.974).Conclusion The serum level of SOX6 is down-regulated,and that of PTEN was up-regulated in AMI patients.Their combined detection is help-ful for diagnosis of AMI and prediction of MACE.
3.Pharmacokinetic Study of Coagulation Factor Ⅷ in Adults with Severe Hemophilia A
Ying ZHANG ; Zhi-Fang GUO ; Jing-Jing WANG ; Wen-Liang LU ; Jin-Yu HAO ; Xin WANG ; Zhi-Juan PAN ; Yan-Ru GUO ; Xin-Lei GUO ; Jia-Jia SUN ; Bo JIANG ; Zhi LI ; Zhi-Ping GUO
Journal of Experimental Hematology 2024;32(5):1509-1517
Objective:To detect the pharmacokinetic(PK)parameters of coagulation factor Ⅷ(FⅧ)in adult patients with severe hemophilia A,identify the potential factors influencing FⅧ PK,and optimize the use of FⅧ in individual prophylaxis regimens.Methods:PK characteristics of FⅧ were studied in a total of 23 severe hemophilia A adults.The correlation of patients'characteristics including age,von Willebrand factor antigen(vWF:Ag),blood group,weight,body mass index(BMI)and FⅧ genotype,with FⅧ PK were evaluated.Individual prophylaxis regimens were given based on FⅧ PK parameters.Results:The mean terminal half-life(t1/2)of FⅧ was 20.6±9.3 h,ranged from 11.47 h to 30.12 h.The age(r=0.580)and vWF:Ag(r=0.814)were significantly positively correlated with t1/2 of FⅧ.The mean area under the plasma concentration curve(AUC)of FⅧ was 913±399(328-1 878)IU h/dl,and the AUC of FⅧ was positively correlated with age(r=0.557)and vWF:Ag(r=0.784).The mean residence time(MRT)of FⅧ was 24.7±12.4(13.2-62.2)h,and the MRT of FⅧ was positively correlated with age(r=0.664)and vWF:Ag(r=0.868).The mean in vivo recovery(IVR)of FⅧ was 2.59±0.888(1.5-4.29)IU/dl per IU/kg,the mean clearance(CL)of FⅧ was 3±1.58(0.97-7.18)ml/(kg·h),and there was no significant correlation of IVR and CL with age and vWF:Ag.According to the individual PK parameters,ultra low-dose,low-dose and moderate-dose FⅧ were applied to 15,6,2 adults patients with severe hemophilia A for prophylaxis,respectively.Conclusion:There are significant individual differences in the FⅧ half-life of adult patients with severe hemophilia A.The older the patient,the higher the vWF:Ag level,and the longer the FⅧ half-life.Individual administration is required based on the FⅧ PK parameters to optimize prophylaxis treatment.
4.Expert consensus on perioperative basic prevention for lower extremity deep venous thrombosis in elderly patients with hip fracture (version 2024)
Yun HAN ; Feifei JIA ; Qing LU ; Xingling XIAO ; Hua LIN ; Ying YING ; Junqin DING ; Min GUI ; Xiaojing SU ; Yaping CHEN ; Ping ZHANG ; Yun XU ; Tianwen HUANG ; Jiali CHEN ; Yi WANG ; Luo FAN ; Fanghui DONG ; Wenjuan ZHOU ; Wanxia LUO ; Xiaoyan XU ; Chunhua DENG ; Xiaohua CHEN ; Yuliu ZHENG ; Dekun YI ; Lin ZHANG ; Hanli PAN ; Jie CHEN ; Kaipeng ZHUANG ; Yang ZHOU ; Sui WENJIE ; Ning NING ; Songmei WU ; Jinli GUO ; Sanlian HU ; Lunlan LI ; Xiangyan KONG ; Hui YU ; Yifei ZHU ; Xifen YU ; Chen CHEN ; Shuixia LI ; Yuan GAO ; Xiuting LI ; Leling FENG
Chinese Journal of Trauma 2024;40(9):769-780
Hip fracture in the elderly is characterized by high incidence, high disability rate, and high mortality and has been recognized as a public health issue threatening their health. Surgery is the preferred choice for the treatment of elderly patients with hip fracture. However, lower extremity deep venous thrombosis (DVT) has an extremely high incidence rate during the perioperative period, and may significantly increase the risk of patients′ death once it progresses to pulmonary embolism. In response to this issue, the clinical guidelines and expert consensuses all emphasize active application of comprehensive preventive measures, including basic prevention, physical prevention, and pharmacological prevention. In this prevention system, basic prevention is the basis of physical and pharmacological prevention. However,there is a lack of unified and definite recommendations for basic preventive measures in clinical practice. To this end, the Orthopedic Nursing Professional Committee of the Chinese Nursing Association and Nursing Department of the Orthopedic Branch of the China International Exchange and Promotive Association for Medical and Health Care organized relevant nursing experts to formulate Expert consensus on perioperative basic prevention for lower extremity deep venous thrombosis in elderly patients with hip fracture ( version 2024) . A total of 10 recommendations were proposed, aiming to standardize the basic preventive measures for lower extremity DVT in elderly patients with hip fractures during the perioperative period and promote their subsequent rehabilitation.
5.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.
6.Correlation study of transcranial sonography combined with serum biomarkers and cognitive status in patients with Parkinson′s disease
Hai WANG ; Yingchun ZHANG ; Changwei DING ; Caishan WANG ; Yujing SHENG ; Xiaofang CHEN ; Ying ZHANG ; Min YANG ; Pan MAO ; Yong YANG ; Ping FENG ; Chengjie MAO ; Jing CHEN ; Chunfeng LIU
Chinese Journal of Ultrasonography 2024;33(6):512-518
Objective:To explore the correlation between transcranial sonography (TCS) combined with serum homocysteine (Hcy), blood glucose, blood lipids, the cognitive status of Parkinson′s disease (PD) patients, and to analyze the clinical application value of these parameters in assessing the cognitive status of PD patients.Methods:A total of 152 PD patients admitted to the Second Affiliated Hospital of Soochow University from January 2020 to June 2023 were retrospectively collected as the PD group, and 101 healthy examinees matched for age and gender during the same period were selected as control group. Clinical data [age, gender, duration of illness, Montreal Cognitive Assessment (MoCA) score, Mini-Mental State Examination (MMSE) score, Unified Parkinson′s Disease Rating Scale Part Ⅲ (UPDRS-Ⅲ) score, Hoehn-Yahr (H-Y) stage, etc.], serum tests (Hcy, blood glucose, total cholesterol, triglycerides, low-density lipoprotein, high-density lipoprotein concentration), and TCS examination results (third ventricular width, midbrain area, peak systolic velocity of bilateral middle cerebral arteries, bilateral middle cerebral artery resistance index, bilateral substantia nigra hyperechoic area) were collected. The two groups were divided into pure PD group and PD group with elevated Hcy, pure control group and control group with elevated Hcy, based on an Hcy concentration threshold of ≥15 μmol/L. The differences in the above parameters among the four groups were compared. The correlation between Hcy and cognitive status (MoCA score, MMSE score) of PD patients and the above parameters were analyzed.Results:The MoCA score and MMSE score of the PD group with elevated Hcy were lower than those of the pure PD group, and the UPDRS-Ⅲ score and H-Y stage were higher than those of the pure PD group (all P<0.001). The order of Hcy concentration from high to low was PD group with elevated Hcy, pure Hcy elevation group, pure PD group, and pure control group. The differences in serum data and TCS data among the four groups were statistically significant (all P<0.001). Spearman correlation analysis showed: ①In the PD group, the concentration of Hcy was positively correlated with glucose concentration, H-Y stage, low-density lipoprotein concentration, right middle cerebral artery resistance index, UPDRS-Ⅲ score, total cholesterol concentration, triglyceride concentration, left middle cerebral artery resistance index, third ventricular width, and age ( rs=0.422, 0.350, 0.348, 0.334, 0.325, 0.300, 0.293, 0.283, 0.221, 0.164, all P<0.05); Hcy concentration was negatively correlated with midbrain area, MMSE score, MoCA score, peak systolic velocity of right middle cerebral artery, peak systolic velocity of left middle cerebral artery, and high-density lipoprotein concentration ( rs=-0.328, -0.282, -0.245, -0.229, -0.224, -0.192, all P<0.05). ②Clinical data, serum data, and TCS data of PD patients were all correlated with MoCA score and MMSE score, with midbrain area showing the largest positive correlation ( rs=0.524, 0.516; both P<0.05) and H-Y stage showing the largest negative correlation( rs=-0.490, -0.468; both P<0.05). Conclusions:PD patients with elevated Hcy have lower cognitive scores than pure PD patients. The correlation between Hcy concentration and blood glucose concentration is the highest in PD patients, followed by H-Y stage. The cognitive scores of PD patients are most correlated with midbrain area and unrelated to substantia nigra hyperechoic area. Lowering serum Hcy concentration in PD patients may be one of the ways to delay cognitive impairment.
7.Development and external validation of a quantitative diagnostic model for malignant gastric lesions in clinical opportunistic screening: A multicenter real-world study
Hongchen ZHENG ; Zhen LIU ; Yun CHEN ; Ping JI ; Zhengyu FANG ; Yujie HE ; Chuanhai GUO ; Ping XIAO ; Chengwen WANG ; Weihua YIN ; Fenglei LI ; Xiujian CHEN ; Mengfei LIU ; Yaqi PAN ; Fangfang LIU ; Ying LIU ; Zhonghu HE ; Yang KE
Chinese Medical Journal 2024;137(19):2343-2350
Background::Clinical opportunistic screening is a cost-effective cancer screening modality. This study aimed to establish an easy-to-use diagnostic model serving as a risk stratification tool for identification of individuals with malignant gastric lesions for opportunistic screening.Methods::We developed a questionnaire-based diagnostic model using a joint dataset including two clinical cohorts from northern and southern China. The cohorts consisted of 17,360 outpatients who had undergone upper gastrointestinal endoscopic examination in endoscopic clinics. The final model was derived based on unconditional logistic regression, and predictors were selected according to the Akaike information criterion. External validation was carried out with 32,614 participants from a community-based randomized controlled trial.Results::This questionnaire-based diagnostic model for malignant gastric lesions had eight predictors, including advanced age, male gender, family history of gastric cancer, low body mass index, unexplained weight loss, consumption of leftover food, consumption of preserved food, and epigastric pain. This model showed high discriminative power in the development set with an area under the receiver operating characteristic curve (AUC) of 0.791 (95% confidence interval [CI]: 0.750–0.831). External validation of the model in the general population generated an AUC of 0.696 (95% CI: 0.570–0.822). This model showed an ideal ability for enriching prevalent malignant gastric lesions when applied to various scenarios.Conclusion::This easy-to-use questionnaire-based model for diagnosis of prevalent malignant gastric lesions may serve as an effective prescreening tool in clinical opportunistic screening for gastric cancer.
8.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
9.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.
10.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.

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