1.Wuzhi Wuyang——Traditional Chinese Medicine Prevention and Treatment of Malignant Tumor
Baojin HAN ; Ying TAN ; Ruijuan CAI ; Qiyuan MAO ; Chuchu ZHANG ; Yiwei ZHONG ; Hongsheng LIN
Cancer Research on Prevention and Treatment 2025;52(2):93-97
In response to the clinical needs of cancer treatment and rehabilitation, Professor Lin Hongsheng proposed the Wuzhi Wuyang (five treatments and rehabilitation) concept on the basis of years of clinical experience and the Guben Qingyuan (consolidate the foundation and clear the source) theory. Wuzhi Wuyang emphasizes the importance of treatment and rehabilitation and aims to provide personalized and stage-specific treatment and rehabilitation plans by integrating the advantages of traditional Chinese medicine (TCM) and modern medicine to achieve comprehensive life-cycle management for patients with cancer. The proposal of Wuzhi Wuyang has provided new ideas and methods for the treatment, prevention, and rehabilitation of cancer, along with valuable references for clinical practice and academic research. This article summarizes the connotation of Wuzhi Wuyang and its application in the comprehensive management of cancer prevention and treatment with TCM.
2.Clinical features of recompensation in autoimmune hepatitis-related decompensated cirrhosis and related predictive factors
Xiaolong LU ; Lin HAN ; Huan XIE ; Lilong YAN ; Xuemei MA ; Dongyan LIU ; Xun LI ; Qingsheng LIANG ; Zhengsheng ZOU ; Caizhe GU ; Ying SUN
Journal of Clinical Hepatology 2025;41(9):1808-1817
ObjectiveTo investigate the clinical features and outcomes of recompensation in patients with autoimmune hepatitis (AIH)-related decompensated cirrhosis, to identify independent predictive factors, and to construct a nomogram prediction model for the probability of recompensation. MethodsA retrospective cohort study was conducted among the adult patients with AIH-related decompensated cirrhosis who were admitted to The Fifth Medical Center of PLA General Hospital from January 2015 to August 2023 (n=211). The primary endpoint was achievement of recompensation, and the secondary endpoint was liver-related death or liver transplantation. According to the outcome of the patients at the end of the follow-up, the patients were divided into the recompensation group (n=16) and the persistent decompensation group(n=150).The independent-samples t test was used for comparison of normally distributed continuous data with homogeneity of variance, and the Mann-Whitney U rank sum test was used for comparison of non-normally distributed continuous data with heterogeneity of variance; the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups; the Kaplan-Meier method was used for survival analysis; the Cox proportional-hazards regression model was used to identify independent predictive factors, and a nomogram model was constructed and validated. ResultsA total of 211 patients were enrolled, with a median age of 55.0 years and a median follow-up time of 44.0 months, and female patients accounted for 87.2%. Among the 211 patients, 61 (with a cumulative proportion of 35.5%) achieved recompensation. Compared with the persistent decompensation group, the recompensation group had significantly higher white blood cell count, platelet count (PLT), total bilirubin (TBil), alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bile acid, prothrombin time, international normalized ratio (INR), SMA positive rate, Model for End-Stage Liver Disease (MELD) score, Child-Pugh score, and rate of use of glucocorticoids (all P0.05), as well as significantly lower age at baseline, number of complications, and death/liver transplantation rate (all P0.05). At 3 and 12 months after treatment, the recompensation group had continuous improvements in AST, TBil, INR, IgG, MELD score, and Child-Pugh score, which were significantly lower than the values in the persistent decompensation group (all P0.05), alongside with continuous increases in PLT and albumin, which were significantly higher than the values in the persistent decompensation group (P0.05). The multivariate Cox regression analysis showed that baseline ALT (hazard ratio [HR]=1.067, 95% confidence interval [CI]: 1.010 — 1.127, P=0.021), IgG (HR=0.463,95%CI:0.258 — 0.833, P=0.010), SMA positivity (HR=3.122,95%CI:1.768 — 5.515, P0.001), and glucocorticoid therapy (HR=20.651,95%CI:8.744 — 48.770, P0.001) were independent predictive factors for recompensation, and the nomogram model based on these predictive factors showed excellent predictive performance (C-index=0.87,95%CI:0.84 — 0.90). ConclusionAchieving recompensation significantly improves clinical outcomes in patients with AIH-related decompensated cirrhosis. Baseline SMA positivity, a high level of ALT, a low level of IgG, and corticosteroid therapy are independent predictive factors for recompensation. The predictive model constructed based on these factors can provide a basis for decision-making in individualized clinical management.
4.Preparation and Recognition Features of Molecularly Imprinted Polymer Membrane for Lamotrigine in Plasma
Dong-Yu LU ; Yu-Xin YOU ; Yan-Lin ZHAO ; Han JIANG ; Ying ZHANG ; Yan DU ; Dao-Quan TANG
Chinese Journal of Analytical Chemistry 2024;52(1):80-92
The molecularly imprinted polymers membranes(MIPMs)were prepared for selective adsorption of lamotrigine(LTG)in plasma by surface molecular imprinting technology with polyvinylidenefluoride(PVDF)membranes as supporter,lamotrigine as template molecule,methyl methacrylate as functional monomer,ethylene glycol dimethacrylate as cross-linking agent,azodiisobutyronitrile as initiator and acetonitrile-dimethylformamide(1∶1.5,V/V)as pore-forming agent.The prepared MIPMs were characterized by scanning electron microscope,Fourier transform infrared spectroscopy,Brunaner-emmet-teller measurements,X-ray photoelectron spectroscopy,and thermogravimetric analysis.The adsorption properties of the materials were investigated by kinetic adsorption,isothermal adsorption,selective adsorption,adsorption-desorption and reusability experiments.The results showed that the imprinted layer of LTG was successfully coated on the surface of PVDF,and the materials had uniform particle size.The adsorption capacity and imprinting factor of the MIPMs towards LTG were 3.77 mg/g and 8.97,respectively.The nanomaterials showed fast mass transfer rate(30 min)and good reusability(the adsorption efficiency was 86.66%after 6 cycles),and could be used for the adsorption of LTG in plasma with low matrix interference,recoveries of 86.54%-90.48%and RSD of 1.51%-3.15%(n=5).The proposed LTG MIPMs were demonstrated to be simple and environment friendly,and had high selectivity in rapid separation and extraction of LTG in plasma.
5.Research on the Role and Clinical Application Value of the Histone H2A Deubiquitinase BAP1 in the Occurrence and Progression of Malignant Glioma Cells
Yufang LI ; Zhifeng LIN ; Ying XIANG ; Fei QI ; Feizhou HAN ; Zhongli QIAN ; Tao WANG ; Xu CHEN
Journal of Modern Laboratory Medicine 2024;39(2):7-11,33
Objective To explore the role of breast/ovarian cancer susceptibility gene 1 associated protein 1(BAP1)in the occurrence and progression of human malignant glioma and the feasibility of BAP1 as a clinical diagnostic marker for malignant glioma.Methods The differential expression of BAP1 in normal and glioma tissue was analyzed based on the GSE4290 and GSE90598 sub-datasets from the gene expression omnibus(GEO)database.Receiver operating characteristic(ROC)curve analysis was conducted to assess the early diagnostic value of BAP1 for malignant glioma.Primary lesion tissues from 28 nonpaired malignant glioma patients and non-tumor brain tissues removed by internal decompression surgery in 5 patients with traumatic brain injury collected independently were collected,and the expression levels of BAP1 were measured using quantitative real-time polymerase chain reaction(qRT-PCR).Specific small interfering RNAs(siRNAs)targeting BAP1 were transiently transfected into U251 cells to further evaluate their interference efficiency.Flow cytometry was employed to analyze changes in the cell cycle and apoptosis of U251 cells with BAP1 knockdown.Results The results of bioinformatics showed that the expression of BAP1 in malignant glioma tissues was lower than that in normal brain tissues(GSE 4290:1 209±18.49 vs 1 476±53.90,GSE 90598:5.19±0.10 vs 5.65±0.21),and the differences were significant(t=5.115,2.267,all P<0.05).ROC curve showed that BAP1 could efficiently differentiate malignant glioma tissue from normal brain tissue(GSE4290:AUC=0.78,GSE90598:AUC=0.75,all P<0.05).The expression level of BAP1 in primary malignant glioma tissue was lower than that in normal brain tissue(0.27±0.04 vs 1.06±0.07),and the difference was significant(t=10.22,P<0.001).After down-regulating the expression of BAP1 in U251 cells,the proportion of S phase cells increased from 17.59%to 27.21%(siBAP1-1)and 25.79%(siBAP1-2),respectively,and the differences were significant(t=6.576,6.642,all P<0.01).However,the apoptosis levels decreased from 10.17%to 2.70%(siBAP-1)and 3.00%(siBAP-2),respectively,and the differences were significant(t=10.31,9.428,all P<0.01).Conclusion Histone H2A deubiquitinase BAP1 could exert the function of tumor suppressor genes by inhibiting rapid cell cycle progression and promoting apoptosis in malignant glioma,and could serve as a potential clinical diagnostic biomarker for malignant glioma.
6.A multicenter study of neonatal stroke in Shenzhen,China
Li-Xiu SHI ; Jin-Xing FENG ; Yan-Fang WEI ; Xin-Ru LU ; Yu-Xi ZHANG ; Lin-Ying YANG ; Sheng-Nan HE ; Pei-Juan CHEN ; Jing HAN ; Cheng CHEN ; Hui-Ying TU ; Zhang-Bin YU ; Jin-Jie HUANG ; Shu-Juan ZENG ; Wan-Ling CHEN ; Ying LIU ; Yan-Ping GUO ; Jiao-Yu MAO ; Xiao-Dong LI ; Qian-Shen ZHANG ; Zhi-Li XIE ; Mei-Ying HUANG ; Kun-Shan YAN ; Er-Ya YING ; Jun CHEN ; Yan-Rong WANG ; Ya-Ping LIU ; Bo SONG ; Hua-Yan LIU ; Xiao-Dong XIAO ; Hong TANG ; Yu-Na WANG ; Yin-Sha CAI ; Qi LONG ; Han-Qiang XU ; Hui-Zhan WANG ; Qian SUN ; Fang HAN ; Rui-Biao ZHANG ; Chuan-Zhong YANG ; Lei DOU ; Hui-Ju SHI ; Rui WANG ; Ping JIANG ; Shenzhen Neonatal Data Network
Chinese Journal of Contemporary Pediatrics 2024;26(5):450-455
Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75%(27/36);boys accounted for 64%(23/36).Among the 36 neonates,31(86%)had disease onset within 3 days after birth,and 19(53%)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61%)had left cerebral infarction and 13(36%)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75%)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72%)and seizures in 10 neonates(34%).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33%,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44%(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.
7.Analysis of influencing factors of adverse cardiovascular events in elderly acute STE-MI patients after PCI and establishment of nomogram prediction model
Fang LIN ; Hanxue LI ; Lin ZHANG ; Ying HAN ; Yuejin YANG
Chinese Journal of Arteriosclerosis 2024;32(4):319-324
Aim To analyze the influencing factors of adverse cardiovascular events in elderly patients with acute ST-segment elevation myocardial infarction(STEMI)after percutaneous coronary intervention(PCI),and to establish a nomogram prediction model.Methods A total of 216 elderly patients with acute STEMI who underwent PCI in Jinqiu Hospital of Liaoning Province from February 2021 to January 2023 were selected and divided into occurrence group(n=33)and non-occurrence group(n=183)according to the occurrence of postoperative adverse cardiovascular events.General data,laboratory indicators,imaging information,and postoperative medication data of all patients were collected.Univariate and multivariate Logistic regression analysis were used to explore independent risk factors for adverse cardiovas-cular events.A nomogram prediction model was constructed according to independent risk factors of neutrophil/lymphocyte ratio(NLR),platelet/lymphocyte ratio(PLR),C-reactive protein/albumin ratio(CAR),C-reactive protein to high density lipoprotein cholesterol ratio(CHR),calibration curve was drawn to verify the nomogram model,and receiv-er operating characteristic(ROC)curve was drawn to analyze the predictive efficacy of the predictive model for column line diagrams.Results The levels of NLR,PLR,CAR,CHR,Gensini score,and platelet aggregation ratio(PAR)were significantly higher in occurrence group than those in non-occurrence group,left ventricular ejection fraction(LVEF)was significantly lower in occurrence group(P<0.05).Logistic regression analysis showed that Gensini score,LVEF,PAR,NLR,PLR,CAR and CHR were independent risk factors for adverse cardiovascular events after PCI in elderly acute STE-MI patients(P<0.05).The column-line diagram model for predicting the risk of adverse cardiac events after PCI in eld-erly acute STEMI patients was constructed based on independent risk factors,and the calibration curve of the model was close to the ideal model,and the ROC curve showed that the area under the ROC curve for the prediction of the risk of ad-verse cardiovascular events in the elderly acute STEMI patients was 0.914.Conclusion NLR,PLR,CAR and CHR are independent risk factors for adverse cardiovascular events in elderly acute STEMI patients after PCI,and the nomogram model constructed based on these factors can effectively predict the risk of adverse cardiovascular events in elderly acute STEMI patients after PCI.
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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