1.Relation between neuroticism and tendency of mobile phone addiction among nursing undergraduates: the mediating role of perceived stress and self-control
Maoning LI ; Meifang WANG ; Xiujuan FENG ; Xue BAI ; Jiao FANG ; Wenkai ZHENG
Sichuan Mental Health 2024;37(1):70-76
BackgroundNegative effects of mobile phone addiction on undergraduate students have led to several health problems including depression, anxiety, attention deficit disorder, cognitive impairment and sleep disturbance. The undergraduate nursing students serve as an important reserve force of the clinical nursing work, and their poor psychological health would have a non-ignorable impact on the quality of the nursing work and the nurse-patient relationship in the future. ObjectiveTo investigate the relation between neuroticism and tendency of mobile phone addiction among undergraduate nursing students, and to examine the pathways through which perceived stress and self-control play a role in the relation by constructing a chain-mediated model. MethodsFrom February to March 2023, a total of 900 undergraduate nursing students across 10 universities in Xi'an, Shaanxi Province were selected through convenient sampling method. Several scales were adopted to assess undergraduate nursing students respectively, including the neuroticism subscale of Eysenck Personality Questionnaire-Revised Short Scale for Chines (EPQ-RSC), Perceived Stress Scale (PSS), Self-Control Scale (SCS) and Mobile Phone Addiction Tendency Scale (MPATS). The assessment were conducted on multiple aspects of these students including neurotic personality, subjective stress, self-control and mobile phone addiction tendency. Model 6 in the SPSS Macro Process 4.1 was used to examine the mediating effect of perceived stress and self-control between neuroticism and mobile phone addiction tendency among undergraduate nursing students. Results① Among the 900 students, 314 cases (34.89%) were found to be addicted to mobile phones. ② The score of neuroticism subscale in EPQ-RSC of nursing undergraduates was positively correlated with the total scores of PSS and MPATS (r=0.400, 0.287, P<0.01), and negatively correlated with score of SCS (r=-0.364, P<0.01). The total score of MPATS was positively correlated with the total score of PSS (r=0.362, P<0.01), and negatively correlated with the total score of SCS (r=-0.468, P<0.01). The total score of SCS was negatively correlated with the total score of PSS (r=-0.515, P<0.01). ③ Perceived stress and self-control performed partial mediation between neuroticism personality and mobile phone addiction tendency (with indirect effect values of 0.056 and 0.065, respectively, accounting for 19.72% and 22.89% of the total effect). Perceived stress and self-control played a chain mediating role between neuroticism personality and mobile phone addiction tendency (with an indirect effect value of 0.064, accounting for 22.54% of the total effect). ConclusionNeuroticism personality, perceived stress and self-control are confirmed to play important roles in mobile phone addiction tendency among undergraduate nursing students. Neuroticism personality not only directly affects the tendency of mobile phone addiction, but also affects their mobile phone addiction tendency through the chain mediating effect of perceived stress and self-control.[Funded by The 2020 Annual Project of the 13th Five-Year Plan of Education Science in Shaanxi Province (number, SGH20Y1386)]
2. Effects of 2-dodecyl-6-methoxycyclohexa-2,5-diene-l ,4-dione on resisting hepatic fibrosis induced by CC14 in rats and its mechanisms via TGF-pi/Smads signaling pathway
Xiang HUANG ; Xing-Mei LIANG ; Xue Zheng LI ; Kun-Feng FANG ; Thi Thai Pham HOA ; Ren-Bin HUANG
Chinese Pharmacological Bulletin 2024;40(3):545-551
Aim To investigate the effects of 2-dode-cyl-6-methoxycyclohexa-2 , 5-diene-l, 4-dione ( DM-DD) on resisting hepatic fibrosis induced by carbon tetrachloride ( CC14 ) in rats and the underlying mechanisms , with a specific focus on the TGF-pi/Smads signaling pathway. Methods The hepatic fibrosis model was replicated using 50% CC14. Various parameters, including levels of aspartate transferase ( AST) , ala-nine transferase ( ALT ) , albumin/globulin ( A/G ) , total protein (TP) , total bilirubin (T-BIL) , hyaluron-ic acid ( HA ) , laminin ( LN ) , collagen type Ж ( Col Ж) , and collagen type IV(ColIV) in the blood, were measured. Liver tissue lesions and fiber formation were observed using HE and Masson staining. The expression levels of a smooth muscle actin (a-SMA) , collagen type I ( Col I ) , transformed growth factor (TGF-pi), Smad2, and Smad7 proteins were assessed using immunohistochemistry. a-SMA, Coll, TGF-pi, and Smad7 mRNA levels in liver tissue were measured by RT-PCR. Additionally, the expression levels of TGF-pi, Smad4, and Smad7 proteins in liver tissue were determined by Western blot. Results In comparison to the normal control group, the model group exhibited significantly elevated levels of AST, ALT, TP, T-BIL, HA, LN, Col Ш and Col IV in serum. But A/G level notably decreased. Successful modeling was confirmed by the presence of extensive fiber formations observed through HE and Massonstaining in liver tissue. The DMDD administration group demonstrated a notable decrease levels of AST, ALT, TP, T-BIL, HA, LN, Col III, and CollV, but A/G was significantly elevated when compared to the model group. Furthermore, a-SMA, Coll, TGF-f31, Smad2 and Smad4 mRNA and protein levels in the DMDD administration group were significantly reduced, while Smad7 significantly declined. HE and Masson staining results reflected a marked reduction in fibrous hyper-plasia. Conclusion DMDD exhibits a protective effect against CCl4-induced hepatic fibrosis, and its mechanism appears to be associated with the TGF-fJl/ Smads signaling pathway.
3.Effects of Panax notoginseng saponins on the expression of sortilin and cholesterol metabolism in macrophages
Lei GAO ; Xiu-Hua SUN ; Qin-Yang JIN ; Qi XUE ; Li-Fang YE ; Jian-Lei ZHENG
The Chinese Journal of Clinical Pharmacology 2024;40(13):1893-1897
Objective To explore the role of Panax notoginseng saponins(PNS)in regulating the expression of sortilin and ATP-binding cassette transporter A1(ABCA1)in macrophages,and the effect of PNS on inhibiting formation of foam cells and the potential mechanism of PNS adjusting sortilin expression and cholesterol metabolism.Methods The macrophages were divided into five groups as follows:group A(only added with cell culture),group B(transfected with negative control lentivirus),group C(transfected with lentivirus-mediated sortilin overexpression),group D(transfected with lentivirus-mediated sortilin overexpression+60 μg·mL-1PNS),group E(transfected with lentivirus-mediated sortilin overexpression+10 μmol·L-1 mitogen-activated protein kinase kinase(MEK)inhibitor PD98059+60 μg·mL-1 PNS).The protein contents of sortilin,ABCA1,extracellular signal-regulated kinase(ERK)and phosphorylated-ERK(p-ERK)were evaluated with Western blot.All the cells in five groups were cultured with 50 μg·mL-1ox-LDL to form foam cells.The lipid in macrophages was investigated with red O assay.Results The relative expression levels of sortilin protein were 1.00±0.08,0.91±0.15,2.28±0.13,1.62±0.09 and 2.01±0.08;the relative expression levels of ABCA1 protein were 1.00±0.01,0.92±0.07,0.29±0.04,0.66±0.09 and 0.44±0.07;the ratios of p-ERK/ERK protein were 1.00±0.09,0.92±0.05,1.03±0.12,2.00±0.12 and 1.64±0.14;the contents of lipid in macrophages were(4.82±2.19)%,(6.70±0.88)%,(44.56±4.15)%,(27.66±3.25)%and(41.67±5.45)%.Except the ratios of p-ERK/ERK,the other parameters between group C and group A were statistically significant difference(all P<0.01).Meanwhile,there were also statistically significant difference between group D and group C as well as group D and group E(P<0.05,P<0.01).Conclusion PNS inhibits the lipid accumulation in macrophages through upregulating ABCA1 and downregulating sortilin,and ERK signaling pathway may be as one of important mechanisms influencing the expression of sortilin and ABCA1 mediated by PNS.
4.Exploration of the SITU Yi's Treatment for Endometriosis Based on Data Mining
Wei-Lin ZHENG ; Heng WENG ; Xue-Fang LIANG ; Li-Xing CAO
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(7):1890-1899
Objective To explore the treatment for endometriosis(EMs)by Professor SITU Yi,a Guangdong famous traditional Chinese medicine physician,thus to provide reference for the diagnosis and treatment of EMs in traditional Chinese medicine based on personalized knowledge graph analysis and data mining technology.Methods Based on the literature research achievements of diagnosis and treatment of EMs,the ontology knowledge tree of famous physician's principles,methods,prescriptions and medicines was established by user-computer integration method.The medical records of EMs patients treated by Professor SITU Yi in the outpatient department of Guangdong Provincial Hospital of Chinese Medicine from 2013 to 2019 were collected.After standardization of the data of medical records,the knowledge set was defined,the knowledge map of TCM diagnosis and treatment of EMs was constructed,and the symptom characteristics and medication rules for EMs were analyzed.Results The core symptoms of EMs patients were dysmenorrhea,chronic pelvic pain and infertility,with the predominated syndrome of blood stasis.The pathogenesis of EMs patients was mainly due to qi stagnation,kidney deficiency,and qi deficiency.Frequent itemset analysis yielded the core drug groups of"Corydalis Rhizoma,Cyperi Rhizoma,Paeoniae Radix Alba""Lycii Fructus,Taxilli Herba,Poria,Dioscoreae Rhizoma"and"Aurantii Fructus,Leonuri Herba".The EMs word cloud map constructed on the basis of knowledge element clustering and neural network algorithm showed that the drug combinations of"Salviae Miltiorrhizae Radix et Rhizoma,Paeoniae Radix Rubra""Corydalis Rhizoma,Curcumae Radix""Cinnamomi Ramulus,Moutan Cortex,Paeoniae Radix Rubra,Poria""Salviae Miltiorrhizae Radix et Rhizoma,Paeoniae Radix Rubra,Sparganii Rhizoma,Curcumae Rhizoma""Chuanxiong Rhizoma,Corydalis Rhizoma"and"Taxilli Herba,Cuscutae Semen"were commonly used for the treatment of EMs by Professor SITU Yi.The results of hierarchical clustering analysis and association network construction for Chinese medicinals,symptoms and syndromes showed that there were complex inner link among the syndromes,symptoms and medication.Conclusion For the treatment of EMs,Professor SITU Yi usually adopt the methods of activating blood to remove stasis and tonifying kidney,and also performs the periodic therapy and simultaneous application of purging and nourishing therapeutics.Knowledge graph analysis and data mining based on semantic web are helpful to unveil the tacit knowledge of clinical diagnosis and treatment experience of Professor SITU Yi,which can provide reference for the differentiation and treatment of EMs with Chinese medicine.
5.Diagnostic efficacy of serum 14-3-3β protein combined with fractional exhaled nitric oxide and conventional ventilatory lung function parameters for bronchial asthma in children
Shu-Fang LI ; Guang-En GUO ; Yue-Qin YANG ; Xiao-Man XIONG ; Shi-Wei ZHENG ; Xue-Li XIE ; Yan-Li ZHANG
Chinese Journal of Contemporary Pediatrics 2024;26(7):723-729
Objective To explore the diagnostic efficacy of serum 14-3-3β protein combined with fractional exhaled nitric oxide(FeNO)and conventional ventilatory lung function parameters in diagnosing bronchial asthma(referred to as"asthma")in children.Methods A prospective study included 136 children initially diagnosed with asthma during an acute episode as the asthma group,and 85 healthy children undergoing routine health checks as the control group.The study compared the differences in serum 14-3-3β protein concentrations between the two groups,analyzed the correlation of serum 14-3-3β protein with clinical indices,and evaluated the diagnostic efficacy of combining 14-3-3β protein,FeNO,and conventional ventilatory lung function parameters for asthma in children.Results The concentration of serum 14-3-3β protein was higher in the asthma group than in the control group(P<0.001).Serum 14-3-3β protein showed a positive correlation with the percentage of neutrophils and total serum immunoglobulin E,and a negative correlation with conventional ventilatory lung function parameters(P<0.05).Cross-validation of combined indices showed that the combination of 14-3-3β protein,FeNO,and the percentage of predicted value of forced expiratory flow at 75%of lung volume had an area under the curve of 0.948 for predicting asthma,with a sensitivity and specificity of 88.9%and 93.7%,respectively,demonstrating good diagnostic efficacy(P<0.001).The model had the best extrapolation.Conclusions The combination of serum 14-3-3β protein,FeNO,and the percentage of predicted value of forced expiratory flow at 75%of lung volume can significantly improve the diagnostic efficacy for asthma in children.
6.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.
7.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.
8.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.
9.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.
10.Changing resistance profiles of Proteus,Morganella and Providencia in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yunmin XU ; Xiaoxue DONG ; Bin SHAN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Ping JI ; Fengbo 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 ; 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 ; Hongyan ZHENG ; 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 2024;24(4):410-417
Objective To understand the changing distribution and antimicrobial resistance profiles of Proteus,Morganella and Providencia in hospitals across China from January 1,2015 to December 31,2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods Antimicrobial susceptibility testing was carried out following the unified CHINET protocol.The results were interpreted in accordance with the breakpoints in the 2021 Clinical & Laboratory Standards Institute(CLSI)M100(31 st Edition).Results A total of 32 433 Enterobacterales strains were isolated during the 7-year period,including 24 160 strains of Proteus,6 704 strains of Morganella,and 1 569 strains of Providencia.The overall number of these Enterobacterales isolates increased significantly over the 7-year period.The top 3 specimen source of these strains were urine,lower respiratory tract specimens,and wound secretions.Proteus,Morganella,and Providencia isolates showed lower resistance rates to amikacin,meropenem,cefoxitin,cefepime,cefoperazone-sulbactam,and piperacillin-tazobactam.For most of the antibiotics tested,less than 10%of the Proteus and Morganella strains were resistant,while less than 20%of the Providencia strains were resistant.The prevalence of carbapenem-resistant Enterobacterales(CRE)was 1.4%in Proteus isolates,1.9%in Morganella isolates,and 15.6%in Providencia isolates.Conclusions The overall number of clinical isolates of Proteus,Morganella and Providencia increased significantly in the 7-year period from 2015 to 2021.The prevalence of CRE strains also increased.More attention should be paid to antimicrobial resistance surveillance and rational antibiotic use so as to prevent the emergence and increase of antimicrobial resistance.

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