1.Exploring on Processing Mechanism of Enhanced "Invigorating Spleen and Stopping Diarrhea" Effect of Soil-fried Atractylodis Macrocephalae Rhizoma Based on "Microscopic Characterization, Chemical Analysis and Pharmacodynamic Evaluation" Trinity
Guoshun SHAN ; Yuyan XIAO ; Chu YUAN ; Xiuai CHEN ; Qimiao ZHAO ; Xiang LIU ; Hao WU ; Ke ZHANG ; Siqi LIU ; Yongduo YU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):182-193
ObjectiveTo analyze the processing mechanism underlying the enhanced effect of invigorating spleen and stopping diarrhea of soil-fried Atractylodis Macrocephalae Rhizoma(AMR) by analyzing the changes of microstructure, chemical composition and anti-ulcerative colitis(UC) activity before and after soil stir-frying. MethodsThe microstructure and elemental composition of AMR before and after soil stir-frying were analyzed by scanning electron microscopy-energy dispersive spectroscopy(SEM-EDS), to investigate the differences in microstructure and the underlying causes. Ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS) coupled with UNIFI 1.9.2 natural product analysis platform were used to analyze and identify the chemical constituents in raw and soil-fried products, and multivariate statistical methods including principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were used to explore the differences and sources of chemical constituents between them. A dextran sulfate sodium(DSS)-induced UC mouse model was established. The method of disease activity index(DAI) was used to evaluate the severity of intestinal inflammation. Hematoxylin-eosin(HE) staining was used to observe the pathological changes of colon tissue, enzyme-linked immunosorbent assay(ELISA) was used to detect the levels of inflammatory factors, Real-time quantitative polymerase chain reaction(Real-time PCR) and Western blot were used to analyze the expressions of key genes and proteins involved in the intestinal mucosal barrier. The 16S rRNA sequencing was used to evaluate the diversity of intestinal flora, headspace gas chromatography-mass spectrometry(HS-GC-MS) was used to explore the levels of short-chain fatty acids(SCFAs) in feces. Base on the above findings, this paper investigated the effects of raw and soil-fried AMR on the biological, chemical, mechanical and immune barriers of model animals, and the differences in pharmacological effects and underlying mechanisms from the perspective of regulating the intestinal mucosal barrier in UC mice. ResultsSEM observation revealed numerous hearth soil particles on the surface of soil-fried AMR, accompanied by bubble-like bulges. At the same time, there were many cracks and folds on the surface of the hearth soil. EDS analysis revealed that the contents of Si, Al, Mg and Ca in soil-fried AMR were significantly higher than those of raw products, and these elements constituted the primary components of hearth soil. UPLC-Q-TOF-MS combined with database comparison was used to identify the chemical constituents of raw and soil-fried AMR. In positive ion mode, a total of 132 components were identified, primarily comprising three categories of terpenoids, polyphenols and amino acids. In negative ion mode, a total of 40 components were identified, primarily polyphenolic and glycoside compounds. Among them, the contents of sesquiterpenes and polyphenolic acids were changed significantly before and after processing. Soil-fried AMR could reduce the DAI score of UC mice, alleviate the shortening of colon length, reduce the levels of pro-inflammatory factors such as interleukin(IL)-17, IL-18, γ-interferon(IFN-γ) and tumor necrosis factor(TNF)-α in serum, increase the levels of anti-inflammatory factors such as secretory immunoglobulin A(sIgA), IL-10, IL-4 and transforming growth factor-β(TGF-β) in serum, increase the expressions of key genes and proteins of intestinal mucosal barrier such as tight junction protein-1(ZO-1), Occludin, Claudin-1 and mucin 2(MUC2) in colonic mucosa, and improve the disorders of intestinal flora diversity and the levels of SCFAs(P<0.05, P<0.01). The raw and stir-fried products of AMR also exhibited the aforementioned effects, but they were weaker than the soil-fried products. Additionally, the auxiliary material hearth soil also had a certain pharmacodynamic effect. ConclusionSoil-fried AMR can enhance the protective effect on intestinal mucosal barrier in UC mice. These changes or heating-induced alterations in the microscopic structure and chemical composition of AMR may be attributed to the dual effects of adsorption of hearth soil.
2.Exploring on Processing Mechanism of Enhanced "Invigorating Spleen and Stopping Diarrhea" Effect of Soil-fried Atractylodis Macrocephalae Rhizoma Based on "Microscopic Characterization, Chemical Analysis and Pharmacodynamic Evaluation" Trinity
Guoshun SHAN ; Yuyan XIAO ; Chu YUAN ; Xiuai CHEN ; Qimiao ZHAO ; Xiang LIU ; Hao WU ; Ke ZHANG ; Siqi LIU ; Yongduo YU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):182-193
ObjectiveTo analyze the processing mechanism underlying the enhanced effect of invigorating spleen and stopping diarrhea of soil-fried Atractylodis Macrocephalae Rhizoma(AMR) by analyzing the changes of microstructure, chemical composition and anti-ulcerative colitis(UC) activity before and after soil stir-frying. MethodsThe microstructure and elemental composition of AMR before and after soil stir-frying were analyzed by scanning electron microscopy-energy dispersive spectroscopy(SEM-EDS), to investigate the differences in microstructure and the underlying causes. Ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS) coupled with UNIFI 1.9.2 natural product analysis platform were used to analyze and identify the chemical constituents in raw and soil-fried products, and multivariate statistical methods including principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were used to explore the differences and sources of chemical constituents between them. A dextran sulfate sodium(DSS)-induced UC mouse model was established. The method of disease activity index(DAI) was used to evaluate the severity of intestinal inflammation. Hematoxylin-eosin(HE) staining was used to observe the pathological changes of colon tissue, enzyme-linked immunosorbent assay(ELISA) was used to detect the levels of inflammatory factors, Real-time quantitative polymerase chain reaction(Real-time PCR) and Western blot were used to analyze the expressions of key genes and proteins involved in the intestinal mucosal barrier. The 16S rRNA sequencing was used to evaluate the diversity of intestinal flora, headspace gas chromatography-mass spectrometry(HS-GC-MS) was used to explore the levels of short-chain fatty acids(SCFAs) in feces. Base on the above findings, this paper investigated the effects of raw and soil-fried AMR on the biological, chemical, mechanical and immune barriers of model animals, and the differences in pharmacological effects and underlying mechanisms from the perspective of regulating the intestinal mucosal barrier in UC mice. ResultsSEM observation revealed numerous hearth soil particles on the surface of soil-fried AMR, accompanied by bubble-like bulges. At the same time, there were many cracks and folds on the surface of the hearth soil. EDS analysis revealed that the contents of Si, Al, Mg and Ca in soil-fried AMR were significantly higher than those of raw products, and these elements constituted the primary components of hearth soil. UPLC-Q-TOF-MS combined with database comparison was used to identify the chemical constituents of raw and soil-fried AMR. In positive ion mode, a total of 132 components were identified, primarily comprising three categories of terpenoids, polyphenols and amino acids. In negative ion mode, a total of 40 components were identified, primarily polyphenolic and glycoside compounds. Among them, the contents of sesquiterpenes and polyphenolic acids were changed significantly before and after processing. Soil-fried AMR could reduce the DAI score of UC mice, alleviate the shortening of colon length, reduce the levels of pro-inflammatory factors such as interleukin(IL)-17, IL-18, γ-interferon(IFN-γ) and tumor necrosis factor(TNF)-α in serum, increase the levels of anti-inflammatory factors such as secretory immunoglobulin A(sIgA), IL-10, IL-4 and transforming growth factor-β(TGF-β) in serum, increase the expressions of key genes and proteins of intestinal mucosal barrier such as tight junction protein-1(ZO-1), Occludin, Claudin-1 and mucin 2(MUC2) in colonic mucosa, and improve the disorders of intestinal flora diversity and the levels of SCFAs(P<0.05, P<0.01). The raw and stir-fried products of AMR also exhibited the aforementioned effects, but they were weaker than the soil-fried products. Additionally, the auxiliary material hearth soil also had a certain pharmacodynamic effect. ConclusionSoil-fried AMR can enhance the protective effect on intestinal mucosal barrier in UC mice. These changes or heating-induced alterations in the microscopic structure and chemical composition of AMR may be attributed to the dual effects of adsorption of hearth soil.
3.A prediction model for mild cognitive impairment risk among the elderly
MA Zongkang ; LIU Xinglang ; LI Huihui ; HE Guowei ; YAN Ping ; ZHANG Chuanrong ; MA Xuan ; CHE Yajie ; YU Shan ; CHEN Fenghui
Journal of Preventive Medicine 2026;38(2):124-129
Objective:
To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening.
Methods :
From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA).
Results:
A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764.
Conclusion
The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.
4.Progress in microbial photoelectrotrophic denitrification.
Zhenjun TIAN ; Lieyu ZHANG ; Yangwei BAI ; Yimei WEI ; Yang BAI ; Zelin SHAN ; Yongkun YU
Chinese Journal of Biotechnology 2025;41(6):2324-2333
Microbial denitrification is a major pathway for nitrogen removal from water bodies. However, denitrification is often difficult to continue when there is a lack of microbially available organic matter in the water body to serve as electron donors. In recent years, studies have shown that some denitrifying bacteria can directly utilize photoelectrons generated by sunlight-excited semiconductor minerals or natural organic matter for denitrification without the need for bioavailable organic matter as electron donors. This process is defined as microbial photoelectrotrophic denitrification. The discovery of microbial photoelectrotrophic denitrification phenomenon reshapes the previous knowledge about the chemoheterotrophic mode of denitrifying bacteria and broadens the pathway of nitrogen removal by the new photoelectrotrophic metabolism, which is of great significance to our understanding and exploration of sunlight-driven nitrogen cycling process. In this paper, we comprehensively sort out the existing research reports in the field of microbial photoelectrotrophic denitrification, systematically summarize the principle and the current research progress of microbial photoelectrotrophic denitrification, deeply analyze the problems and challenges faced by this technology, and make an outlook on the future research directions and application prospects of this technology, providing a reference for the further research and application of this technology.
Denitrification/physiology*
;
Nitrogen/isolation & purification*
;
Bacteria/metabolism*
;
Sunlight
;
Phototrophic Processes
5.Current status of reality shock among new nurses and its influencing factors
Shan ZHANG ; Ying WU ; Xinyi WANG ; Yan YU ; Pan WEI
Chinese Journal of Practical Nursing 2025;41(16):1261-1266
Objective:To survey the current status of reality shock among new nurses and to explore its influencing factors, and provide reference for promoting the workplace adaptability of new nurses.Methods:New nurses from 9 tertiary Grade A hospitals in Shaanxi Province were selected by convenience sampling method from February to May 2024. General data questionnaire, the Reality Shock Scale, the Feedback-Seeking Behaviour Scale, and the Role Clarity Scale were used to conduct a cross-sectional investigation, and multiple linear regression was used to analyze the influencing factors of new nurses′reality shock.Results:A total of 362 valid questionnaires were collected, including 68 males and 294 females. The scores of reality shock, feedback-seeking behaviour, and role clarity were (70.12 ± 20.18), (54.25 ± 10.65) and (31.94 ± 4.45) points respectively. Reality shock was negatively correlated with feedback-seeking behaviour and role clarity ( r=-0.583, -0.785, both P<0.01), feedback-seeking behaviour was positively correlated with role clarity ( r=0.652, P<0.01). Gender, only-child status, entry time, feedback-seeking behaviour and role clarity were the influencing factors of reality shock ( t values were -15.60-2.23, all P<0.05), accounted for 63.6% of the total variation. Conclusions:The reality shock of new nurses is above the medium level, and nursing managers should be aware of the problems and sense of gap that new nurses may encounter in the process of role transformation. In addition, pay more attention to the emotional needs and mental health status of new nurses who are male, only child, with short entry time, and have low feedback-seeking behavior and role clarity. Diversified training programs and targeted intervention strategies should be developed to help new nurses reduce reality shock.
6.Perioperative antithrombotic medication use in non-cardiac surgery:a single center survey
Bin-bin DONG ; Yu-tong ZHAO ; Zi-ning WANG ; Huai-jin LI ; Shan ZHU ; Hong ZHANG ; Yan-jun GONG ; Jie JIANG
Chinese Journal of Interventional Cardiology 2025;33(4):181-188
Objective To investigate the perioperative management of antithrombotic drugs in patients undergoing non-cardiac surgery.Methods Patients on long-term antithrombotic drugs who underwent non-cardiac surgery in our hospital were included.Through interviews with patients and physicians,perioperative antithrombotic medication regimens were reviewed and compared with the"Multidisciplinary Expert Consensus on Perioperative Management of Antithrombotic Therapy"to evaluate compliance with consensus and analyze influencing factors.Results A total of 372 patients were included in the analysis.Among them,355 patients were on long-term antiplatelet therapy alone,and 17 were on long-term oral anticoagulantion.364(97.8%)discontinued antithrombotic medications prior to surgery.109 patients(29.3%)received low molecular weight heparin(LMWH)bridging therapy.Among the 355 patients on antiplatelet therapy,108(30.4%)had discontinuation durations consistent with the consensus recommendations,while 186(52.4%)discontinued medications for longer periods.Postoperatively,the average hospital stay for antiplatelet therapy patients was 6.64 days,with only 37(10.4%)resuming therapy during hospitalization.The average hospital stay for patients on anticoagulants was 9.94 days,with only 2(11.8%)resuming therapy during hospitalization.Regarding perioperative risk assessment,only 40(10.8%)of patients underwent additional internal medical evaluation for thromboembolic risk after medication discontinuation,with the remainder assessed soly by surgeons.Coronary heart disease was an independent risk factor associated with internal medical evaluation(OR 2.851,95%CI 1.160-7.011,P=0.022).For bleeding risk assessment,surgeons evaluations aligned with the consensus in 68.0%of cases,but surgeons tended to underestimate risk compared to the consensus.Conclusions In this single-center study,perioperative antithrombotic management showed low compliance with expert consensus,characterized by prolonged preoperative medication discontinuation,high rates of LMWH bridging,and low postoperative in-hospital resumption of therapy.A robust multidisciplinary collaboration system should be established to enhance comprehensive patient assessment.
7.Mediating effect of job embeddedness and job satisfaction on psychological capital and organizational silence in clinical nurses
Jinfeng QI ; Yu ZHANG ; Zhi ZOU ; Wenling ZHANG ; Lili XU ; Wenxia LI ; Dandan SHAN
Chinese Mental Health Journal 2025;39(1):94-99
Objective:To explore the mediating effect of job embeddedness and job satisfaction on psycholog-ical capital and organizational silence in clinical nurses.Methods:Totally 412 clinical nurses(145 males and 267 females)were selected and assessed with the Nurse Organizational Silence Assessment Questionnaire(NOSAQ),Psychological Capital Questionnaire-24(PCQ-24),Job Embedding Scale(JES)and Nurses Job Satisfaction Scale(NJSS).SPSS macro program PROCESS and Bootstrap method were used to explore the role of mediation.Results:The NOSAQ scores were negatively correlated with the scores of PCQ-24,JES and NJSS(r=-0.55,-0.59,-0.51,Ps<0.01).Job embeddedness and job satisfaction played a chain mediating role between psychological capital and organizational silence of clinical nurses(95%CI:-0.26--0.04),and the mediating effect accounted for 14.7%of the total effect.Conclusion:It suggests that organizational silence is closely related to psychological capital,job embeddedness and job satisfaction in clinical nurses.
8.Changing resistance profiles of Haemophilus influenzae and Moraxella catarrhalis isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Hui FAN ; Chunhong SHAO ; Jia WANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Yunsheng CHEN ; Qing MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Wenqi SONG ; Kaizhen WEN ; Yirong ZHANG ; Chuanqing WANG ; Pan FU ; Chao ZHUO ; Danhong SU ; Jiangwei KE ; Shuping ZHOU ; Hua ZHANG ; Fangfang HU ; Mei KANG ; Chao HE ; Hua YU ; Xiangning HUANG ; Yingchun XU ; Xiaojiang ZHANG ; Wenen LIU ; Yanming LI ; Lei ZHU ; Jinhua MENG ; Shifu WANG ; Bin SHAN ; Yan DU ; Wei JIA ; Gang LI ; Jiao FENG ; Ping GONG ; Miao SONG ; Lianhua WEI ; Xin WANG ; Ruizhong WANG ; Hua FANG ; Sufang GUO ; Yanyan WANG ; Dawen GUO ; Jinying ZHAO ; Lixia ZHANG ; Juan MA ; Han SHEN ; Wanqing ZHOU ; Ruyi GUO ; Yan ZHU ; Jinsong WU ; Yuemei LU ; Yuxing NI ; Jingrong SUN ; Xiaobo MA ; Yanqing ZHENG ; Yunsong YU ; Jie LIN ; Ziyong SUN ; Zhongju CHEN ; Zhidong HU ; Jin LI ; Fengbo ZHANG ; Ping JI ; Yunjian HU ; Xiaoman AI ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Xuesong XU ; Chao YAN ; Yi LI ; Shanmei WANG ; Hongqin GU ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Jihong LI ; Bixia YU ; Cunshan KOU ; Jilu SHEN ; Wenhui HUANG ; Xiuli YANG ; Likang ZHU ; Lin JIANG ; Wen HE ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):30-38
Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91%of the total clinical isolates and 4.07%of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89%were isolated from children and 33.11%were isolated from adults.More than 90%of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79%in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06%were isolated from children and 19.94%isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0%.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.
9.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.
10.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.


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