1.Performance of a fusion model based on multi-parametric MRI deep learning algorithm and clinicopathological features predicting lymph node metastasis in rectal cancer
Songbin LIN ; Yang LÜ ; Peng ZHENG
Chinese Journal of Clinical Medicine 2026;33(4):668-674
Objective To develop and validate a fusion model that integrates a multi-parametric magnetic resonance imaging deep learning algorithm with clinicopathological factors to improve the accuracy of preoperative prediction for lymph node metastasis (LNM) in rectal cancer. Methods A total of 191 rectal cancer patients who received treatment at Zhongshan Hospital (Xiamen), Fudan University from January 2022 to December 2024 (modeling group, n=141) and at Zhongshan Hospital, Fudan University from January to June 2021 (external validation group, n=50) were retrospectively included. Magnetic resonance imaging and clinical data of all patients were collected to compare the diagnostic performance of the previously developed algorithm with that of two radiologists. Logistic regression was further employed to identify independent risk factors for LNM, and an integrated model combining ‘‘algorithm + clinicopathological features’’ was constructed. The clinical value of this model was evaluated using the area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA). Results In the modeling group, the algorithm’s predictive performance for LNM (AUC=0.763) was higher than those of two physicians (AUC=0.675, 0.655). Multivariate analysis results indicated that carcinoembryonic antigen >5 μg/L and low differentiation were independent risk factors for LNM (P<0.01). The fusion model improved predictive performance, with an AUC of 0.872 in the modeling group and 0.830 in the external validation group. DCA analysis showed that the fusion model provided higher net benefits across the clinically common threshold range. Conclusions The fusion model based on multi-parametric magnetic resonance image deep learning algorithm and clinical features shows good predictive performance for LNM of rectal cancer, which is superior to simple algorithms and manual interpretation. It is expected to become an auxiliary tool for preoperative risk stratification and treatment strategy selection of rectal cancer.
2.CRISPR/Cas9-based knockout library screening identifies BAG3 as a potential regulator of radiosensitivity
Zhengyue CAO ; Youfeng ZHANG ; Zhichun LÜ ; Huiying GAO ; Shensi XIANG ; Jingjing LI ; Xiaofei ZHENG ; Changyan LI
Military Medical Sciences 2025;49(6):421-429
Objective To identify genetic regulators of ionizing radiation(IR)sensitivity through clustered regularly interspaced short palindromic repeats(CRISPR)/CRISPR-associated nuclease 9(Cas9)genome-wide screening.Methods A specialized single guide RNA(sgRNA)library was developed targeting 987 stress-response regulatory genes identified through Kyoto Encyclopedia of Genes and Genomes(KEGG),Reactome and gene ontology(GO)databases,followed by construction of sgRNA plasmids and packaging into a lentiviral library.Using colon adenocarcinoma Caco-2 cells as a model system,the Cas9-stable transgenic line was established via lentiviral transduction and antibiotic selection.Library-transduced cells underwent puromycin selection,followed by γ-irradiation(dose optimized via preliminary experiments).Post-irradiation phenotypic selection was conducted after 14 days,with subsequent next-generation sequencing of surviving cell populations to identify enriched/depleted sgRNAs.Candidate genes were functionally validated through orthogonal assays:cell counting kit-8(CCK-8)proliferation analysis,clonogenic survival assays and flow cytometric quantification of reactive oxygen species(ROS)and apoptotic markers.Results The optimized screening platform identified 281 radiation response genes(165 radiosensitive and 116 radioprotective candidates).Functional validation revealed Bcl2-associated athanogene 3(BAG3)knockdown significantly enhanced radioresistance.Proliferation was increased 1.2-1.5 fold,clonogenic survival improved 1.5-2.0 fold,and ROS was reduced by 13%-25%coupled with 32%-73%apoptosis attenuation compared to control groups.Conclusion The integrated CRISPR/Cas9 screening platform effectively identifies novel radiation response regulators,as evidenced by the discovery of BAG3 as a critical radiosensitivity determinant.This high-throughput functional genomics approach provides a robust methodology for systematically mapping molecular determinants of cellular radiation response,with potential applications in both mechanistic studies and therapeutic target discovery.
3.The Role of Mitochondrial Quality Control in Glycolipid Metabolism and Metabolic Diseases
Jia-Jia FENG ; Meng GUO ; Zheng OUYANG ; Bin LÜ
Progress in Biochemistry and Biophysics 2025;52(7):1673-1686
The liver, skeletal muscle, and adipose tissue are central energy-metabolizing organs and insulin-sensitive tissues, playing a crucial role in maintaining glucose homeostasis. As the powerhouse of the cell, mitochondria not only regulate insulin secretion but also oversee the oxidative phosphorylation and β-oxidation of fatty acids, processes vital for the metabolism of carbohydrates and fats, as well as the synthesis of ATP. The mitochondrial quality control system is of paramount importance for sustaining mitochondrial homeostasis, achieved through mechanisms such as protein homeostasis, mitochondrial dynamics, mitophagy, and biogenesis. Evidence suggests that dysfunctional mitochondria may significantly contribute to insulin resistance and ectopic fat storage in the liver, offering new insights into the strong correlation between mitochondrial dysfunction and the development of obesity, diabetes mellitus type 2 (T2DM), and non-alcoholic fatty liver disease (NAFLD). This manuscript aims to delve into the precise mechanisms by which imbalances in mitochondrial quality control lead to metabolic disorders in the liver, skeletal muscle, and adipose tissue, the 3 major insulin-sensitive organs. In the liver, mitochondrial dysfunction can lead to disturbances in glucose and lipid metabolism, resulting in insulin resistance and fat accumulation—a key factor in the development of NAFLD. In skeletal muscle, reduced mitochondrial function can decrease ATP production, weakening the muscle’s ability to uptake glucose, thereby exacerbating insulin resistance. In adipose tissue, mitochondrial dysfunction can impair adipocyte function, leading to lipotoxicity and inflammatory responses,which further contribute to insulin resistance and the onset of metabolic syndrome. Moreover, the interorgan crosstalk among these 3 tissues is essential for overall metabolic homeostasis. For instance, hepatic gluconeogenesis and glucose utilization in skeletal muscle are both influenced by the health status of their respective mitochondrial populations. The conversion between different types of adipose tissue and the ability to store lipids depend on normal mitochondrial function to avert ectopic fat accumulation in other organs. In summary, this manuscript emphasizes the critical role of mitochondrial quality control in maintaining the metabolic stability of the liver, skeletal muscle, and adipose tissue. It elucidates the specific mechanisms by which mitochondrial dysfunction in these organs contributes to the development of metabolic diseases, providing a foundation for future research and the development of therapeutic strategies targeting mitochondrial dysfunction.
4.Association between acupuncture and live birth rates after fresh embryo transfer: A cohort study based on different propensity score methods.
Xiao-Yan ZHENG ; Zi-Yi JIANG ; Yi-Ting LI ; Chao-Liang LI ; Hao ZHU ; Zheng YU ; Si-Yi YU ; Li-Li YANG ; Song-Yuan TANG ; Xing-Yu LÜ ; Fan-Rong LIANG ; Jie YANG
Journal of Integrative Medicine 2025;23(5):528-536
OBJECTIVE:
To explore the association between acupuncture during controlled ovarian hyperstimulation (COH) and the live birth rate (LBR) using different propensity score methods.
METHODS:
In this retrospective cohort study, eligible women who underwent a COH were divided into acupuncture and non-acupuncture groups. The primary outcome was LBR, as determined by propensity score matching (PSM). LBR was defined as the delivery of one or more living infants that reached a gestational age over 28 weeks after embryo transfer. The propensity score model encompassed 16 confounding variables. To validate the results, sensitivity analyses were conducted using three additional propensity score methods: propensity score adjustment, inverse probability weighting (IPW), and IPW with a "doubly robust" estimator.
RESULTS:
The primary cohort encompassed 9751 patients (1830 [18.76%] in the acupuncture group and 7921 [81.23%] in the non-acupuncture group). Following 1:1 PSM, a higher LBR was found in the acupuncture cohort (41.4% [755/1824] vs 36.4% [664/1824], with an odds ratio of 1.23 [95% confidence interval, 1.08-1.41]). Three additional propensity score methods produced essentially similar results. The risk of serious adverse events did not significantly differ between the two groups.
CONCLUSION
This retrospective study revealed an association between acupuncture and an increased LBR among patients undergoing COH, and that acupuncture is a safe and valuable treatment option. Please cite this article as: Zheng XY, Jiang ZY, Li YT, Li CL, Zhu H, Yu Z, Yu SY, Yang LL, Tang SY, Lü XY, Liang FR, Yang J. Association between acupuncture and live birth rates after fresh embryo transfer: A cohort study based on different propensity score methods. J Integr Med. 2025; 23(5):528-536.
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5.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; 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 ; 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 ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; 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 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
6.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; 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 ; 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 WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
7.lncRNA ABHD11-AS1 affects the proliferation and invasion of renal cancer cells by regulating the miR-133a-3p/SLC6A1 axis
Wei XIANG ; Lei LÜ ; Fuxin ZHENG ; Jingdong YUAN ; Suibin HUANG
Journal of China Medical University 2025;54(8):754-761
Objective To analyze the expression of long non-coding RNA(lncRNA)ABHD11-AS1 in clear cell renal cell carcinoma(ccRCC)and renal cancer cell lines,and explore its potential functions and mechanisms of action.Methods The bioinformatics tool GEPIA2 software was used to analyze The Cancer Genome Atlas(TCGA)database and compare the expression levels of ABHD11-AS1 in ccRCC and normal kidney tissues.Real-time quantitative PCR was performed to assess ABHD11-AS1 expression in ccRCC tissues,normal kidney tissues,and renal cancer cell lines.Subcellular localization experiments were performed to determine the subcellular locali-zation of ABHD11-AS1 in renal cancer cells.The MTT assay,Transwell assay,real-time quantitative PCR,and Western blotting were used to detect the effects of ABHD11-AS1 and miR-133a-3p on the proliferation,invasion,and expression of SLC6A1 in renal cancer cells.A dual-luciferase reporter gene experiments was performed to validate the binding effect of ABHD11-AS1 to miR-133a-3p and the effect of miR-133a-3p on SLC6A1.Results GEPIA2 software and real-time quantitative PCR analyses indicated that ABHD11-AS1 was highly expressed in ccRCC tissues compared to normal kidney tissues(P<0.05).Compared to the immortalized renal tubular epithelial cell line HK-2 cells,the expression of ABHD11-AS1 was significantly upregulated in the ACHN,786-O,and SN12-PM6 cells,with the highest expression observed in 786-O cells.The results of the subcellular localization experiments indicated that ABHD11-AS1 was primarily distributed in the cytoplasm of 786-O cells.ABHD11-AS1 knockdown reduced the proliferative and invasive abilities of 786-O cells and decreased SLC6A1 mRNA and protein expression(P<0.05).Dual-luciferase reporter gene experiments demonstrated that ABHD11-AS1 targets and binds to miR-133a-3p,which in turn binds to SLC6A1.Overexpression of miR-133a-3p reduced the mRNA and protein levels of SLC6A1 in 786-O cells,whereas downregulation of miR-133a-3p had the opposite effect.Downregulation of miR-133a-3p enhanced the proliferation and invasion of 786-O cells,while knockdown of SLC6A1 partially reversed the promoting effect of miR-133a-3p downreg-ulation on the proliferation and invasion of 786-O cells(P<0.05).Simultaneously,downregulation of miR-133a-3p could also partially reverse the inhibitory effects of ABHD11-AS1 knockdown on 786-O cell proliferation,invasion,and SLC6A1 expression(P<0.05).Con-clusion ABHD11-AS1 exerts a pro-cancer effect on ccRCC by regulating the miR-133a-3p/SLC6A1 axis,which influences the prolifera-tion and invasion of renal cancer cells.
8.Effects of miR-483-3p on hypoxia/reoxygenation-induced apoptosis and pyroptosis in cardiomyocytes
Yufen LU ; Xiaoming ZHENG ; Shaojuan WEI ; Liqin CHEN ; Tongtong XU ; Xiangwei LÜ
The Journal of Practical Medicine 2025;41(3):339-346
Objective To investigate the effects of miR-483-3p on hypoxia/reoxygenation(H/R)-induced apoptosis and pyroptosis of H9c2 cardiomyocytes and its possible mechanism.Methods Rat H9c2 cardiomyocytes were cultured in vitro,adeno-associated virus-infected H9c2 and the H/R model were constructed by triple-air incuba-tor,and the cells were randomly divided into blank control(Sham)group,model(H/R)group,AAV-miR-483-3p mimic+H/R(AAV-miR-483-3p)group,AAV-miR-483-3p negative control+H/R(AAV-NC)group.The growth status of cells in each group was observed using an inverted microscope;cell proliferation activity was detected by cell counting kit-8(CCK-8);LDH release by lactate dehydrogenase(LDH)kit;apoptosis rate by flow cytometry;apoptosis by notched end labeling(TUNEL).Western blot(WB)was used to detect the expression levels of IL-1β and GSDMD proteins in each group.Results Compared with the Sham group,the H/R group showed abnormal cell status and increased cell death,decreased cell activity,increased LDH release,increased apoptosis rate and apopto-sis level,and increased expression levels of IL-1β and GSDMD proteins(P<0.05);compared with the H/R group,the AAV-miR-483-3p group showed improved cell status and less cell death,increased cell proliferation activity,increased LDH release,and increased IL-1β and GSDMD protein expression levels(P<0.05).Compared with the H/R group,the AAV-miR-483-3p group showed improved cell status and less cell death,increased cell proliferation activity,decreased LDH release,decreased apoptosis rate and apoptosis level,and decreased expression of IL-1β and GSDMD proteins(P<0.05).Conclusion Over-expression of miR-483-3p can improve H/R-inducedH9c2 cardiomyocyte injury by enhancing cell activity and cell metabolism,and inhibiting apoptosis and cell charring.
9.Quality control protocol for adult overweight and obesity screening in health management (examination) institutions (2025 edition)
Jianling FAN ; Tiejun WANG ; Pengfei YANG ; Keke DING ; Xiaoning HAO ; Sunfang JIANG ; Ankang LÜ ; Jianping LU ; Sheng RONG ; Weibin SHI ; Shengwei SUN ; Yan TAN ; Qilei TU ; Zhiping WANG ; Bing WANG ; Jianyun WANG ; Weijian WANG ; Yan WANG ; Qun XU ; Chenli ZHANG ; Fan ZHANG ; Ping ZHANG ; Yansong ZHENG ; Jieru ZHOU ; Dan CHEN ; Jiaoyang ZHENG
Chinese Journal of Clinical Medicine 2025;32(6):1097-1111
Obesity, as a chronic recurrent disease, has become a major public health challenge in China. To implement the requirements of the Healthy China Initiative (2019—2030), under domestic guidelines or consensus statements on overweight and obesity, and in alignment with the latest scientific advances globally, the Quality control protocol for adult overweight and obesity screening in health management (examination) institutions (2025 edition) was developed. This protocol was drafted by the Health Management Center of Shanghai Changzheng Hospital and formulated through multiple rounds of deliberation by experts in China’s health examination quality control field. The protocol establishes unified standards for screening facilities, personnel qualifications, and measurement or testing procedures. It defines specific screening items, outlines a standardized screening pathway, and sets requirements for the final medical review, ensuring the scientific validity, effectiveness, and safety of the screening process. The implementation of this protocol will enhance the consistency of weight management practices for adults across health examination institutions and strengthen the quality control of overweight and obesity screening programs.
10.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.

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