Current Medical Science最新文献

{"title":"Performance Assessment of GPT 4.0 on the Japanese Medical Licensing Examination.","authors":"Hong-Lin Wang, Hong Zhou, Jia-Yao Zhang, Yi Xie, Jia-Ming Yang, Ming-di Xue, Zi-Neng Yan, Wen Li, Xi-Bao Zhang, Yong Wu, Xiao-Ling Chen, Peng-Ran Liu, Lin Lu, Zhe-Wei Ye","doi":"10.1007/s11596-024-2932-9","DOIUrl":"10.1007/s11596-024-2932-9","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the accuracy and parsing ability of GPT 4.0 for Japanese medical practitioner qualification examinations in a multidimensional way to investigate its response accuracy and comprehensiveness to medical knowledge.</p><p><strong>Methods: </strong>We evaluated the performance of the GPT 4.0 on Japanese Medical Licensing Examination (JMLE) questions (2021-2023). Questions are categorized by difficulty and type, with distinctions between general and clinical parts, as well as between single-choice (MCQ1) and multiple-choice (MCQ2) questions. Difficulty levels were determined on the basis of correct rates provided by the JMLE Preparatory School. The accuracy and quality of the GPT 4.0 responses were analyzed via an improved Global Qualily Scale (GQS) scores, considering both the chosen options and the accompanying analysis. Descriptive statistics and Pearson Chi-square tests were used to examine performance across exam years, question difficulty, type, and choice. GPT 4.0 ability was evaluated via the GQS, with comparisons made via the Mann-Whitney U or Kruskal-Wallis test.</p><p><strong>Results: </strong>The correct response rate and parsing ability of the GPT4.0 to the JMLE questions reached the qualification level (80.4%). In terms of the accuracy of the GPT4.0 response to the JMLE, we found significant differences in accuracy across both difficulty levels and option types. According to the GQS scores for the GPT 4.0 responses to all the JMLE questions, the performance of the questionnaire varied according to year and choice type.</p><p><strong>Conclusion: </strong>GTP4.0 performs well in providing basic support in medical education and medical research, but it also needs to input a large amount of medical-related data to train its model and improve the accuracy of its medical knowledge output. Further integration of ChatGPT with the medical field could open new opportunities for medicine.</p>","PeriodicalId":10820,"journal":{"name":"Current Medical Science","volume":" ","pages":"1148-1154"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142496581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence in Medical Metaverse: Applications, Challenges, and Future Prospects.","authors":"Jia-Ming Yang, Bao-Jun Chen, Rui-Yuan Li, Bi-Qiang Huang, Mo-Han Zhao, Peng-Ran Liu, Jia-Yao Zhang, Zhe-Wei Ye","doi":"10.1007/s11596-024-2960-5","DOIUrl":"10.1007/s11596-024-2960-5","url":null,"abstract":"<p><p>The medical metaverse is a combination of medicine, computer science, information technology and other cutting-edge technologies. It redefines the method of information interaction about doctor-patient communication, medical education and research through the integration of medical data, knowledge and services in a virtual environment. Artificial intelligence (AI) is a discipline that uses computer technology to study and develop human intelligence. AI has infiltrated every aspect of medical metaverse and is deeply integrated with the technologies that build medical metaverse, such as large language models (LLMs), digital twins, blockchain and extended reality (including VR/AR/XR). AI has become an integral part of the medical metaverse building process. Moreover, AI also provides richer medical metaverse functions, including diagnosis, education, and consulting. This paper aims to introduce how AI supports the development of medical metaverse, including its specific application scenarios, shortcomings and future development. Our goal is to contribute to the advancement of more sophisticated and intelligent medical methods.</p>","PeriodicalId":10820,"journal":{"name":"Current Medical Science","volume":" ","pages":"1113-1122"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142821904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"FKBP5 Regulates the Osteogenesis of Human Adipose-derived Mesenchymal Stem Cells.","authors":"Xiao-Yu Tian, Biao Zhu, Wen-Can Fang, Xiang-Bin Zhou, Ning Wu, Hong Li, Ning Wen, Jin Li","doi":"10.1007/s11596-024-2941-8","DOIUrl":"10.1007/s11596-024-2941-8","url":null,"abstract":"<p><strong>Objective: </strong>Human adipose-derived stem cells (ASCs) have shown considerable potential for tissue regeneration. FK506 binding protein (FKBP) 5 is a cochaperone of several proteins. The purpose of this work was to explore the function of FKBP5 in ASC osteogenesis.</p><p><strong>Methods: </strong>Lentivirus infection was used to overexpress or knock down FKBP5 in ASCs. To inhibit FKBP5, SAFit2, a specific inhibitor of FKBP5, was used. Next, the osteogenic capacity of ASCs was evaluated via alkaline phosphatase (ALP) staining, and extracellular calcium precipitation was detected via Alizarin red S staining. The binding proteins of FKBP5 were assessed via proteomics and validated via coimmunoprecipitation experiments.</p><p><strong>Results: </strong>Following osteogenic induction, FKBP5 expression increased at both the mRNA and protein levels. Interestingly, FKBP5 upregulation by lentivirus infection increased the ability of ASCs to differentiate into osteoblasts, as revealed by ALP staining, while ALP activity also increased. Moreover, increased extracellular calcium precipitation confirmed that FKBP5 overexpression promoted ASC osteogenesis into osteocytes. On the other hand, FKBP5 knockdown or functional suppression with SAFit2 decreased this process. Furthermore, the proteomics and coimmunoprecipitation data demonstrated that FKBP5 bound to a variety of proteins in ASCs. These proteins serve as the molecular chaperone base upon which the osteogenesis-regulating activity of FKBP5 rests.</p><p><strong>Conclusion: </strong>Our study revealed that FKBP5 enhances the osteogenesis of ASCs, providing a feasible method for clinical bone tissue engineering applications.</p>","PeriodicalId":10820,"journal":{"name":"Current Medical Science","volume":" ","pages":"1270-1279"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142715458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Brain-computer Interaction in the Smart Era.","authors":"Zi-Neng Yan, Peng-Ran Liu, Hong Zhou, Jia-Yao Zhang, Song-Xiang Liu, Yi Xie, Hong-Lin Wang, Jin-Bo Yu, Yu Zhou, Chang-Mao Ni, Li Huang, Zhe-Wei Ye","doi":"10.1007/s11596-024-2927-6","DOIUrl":"10.1007/s11596-024-2927-6","url":null,"abstract":"<p><p>The brain-computer interface (BCI) system serves as a critical link between external output devices and the human brain. A monitored object's mental state, sensory cognition, and even higher cognition are reflected in its electroencephalography (EEG) signal. Nevertheless, unprocessed EEG signals are frequently contaminated with a variety of artifacts, rendering the analysis and elimination of impurities from the collected EEG data exceedingly challenging, not to mention the manual adjustment thereof. Over the last few decades, the rapid advancement of artificial intelligence (AI) technology has contributed to the development of BCI technology. Algorithms derived from AI and machine learning have significantly enhanced the ability to analyze and process EEG electrical signals, thereby expanding the range of potential interactions between the human brain and computers. As a result, the present BCI technology with the help of AI can assist physicians in gaining a more comprehensive understanding of their patients' physical and psychological status, thereby contributing to improvements in their health and quality of life.</p>","PeriodicalId":10820,"journal":{"name":"Current Medical Science","volume":" ","pages":"1123-1131"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Current Combinatorial Therapeutic Aspects: The Future Prospect for Glioblastoma Treatment.","authors":"Megha Gautam, Reema Gabrani","doi":"10.1007/s11596-024-2950-7","DOIUrl":"10.1007/s11596-024-2950-7","url":null,"abstract":"<p><p>There are several types of brain tumors but glioblastoma (GBM) is one of the highly malignant tumors. A primary concern with GBM is that the treatment is inadequate. Even after giving many multi-stacked combinations of therapies to patients, inclusive of chemotherapy, radiation, and surgery, the median survival rate remains poor. Due to its heterogeneous nature, the use of selective therapy for specific targeting of tumor cells is of particular importance. Although many treatment alternatives which include surgery with adjuvant chemotherapy and radiotherapy are available, the prognosis of the disease is very poor. Combination therapy is becoming the foundation of modern antitumor therapy and it is continuously evolving and developing innovative drug regimens as evidenced by ongoing preclinical and clinical trials. In this review, we discuss the current treatment options and emerging therapeutic approaches for the treatment of GBM. The prospects for alternative glioblastoma therapy are also discussed.</p>","PeriodicalId":10820,"journal":{"name":"Current Medical Science","volume":" ","pages":"1175-1184"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142853045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing the Battle against Cystic Fibrosis: Stem Cell and Gene Therapy Insights.","authors":"Disha D Shah, Mehul R Chorawala, Aanshi J Pandya, Nirjari Kothari, Bhupendra G Prajapati, Priyajeet S Parekh","doi":"10.1007/s11596-024-2936-5","DOIUrl":"10.1007/s11596-024-2936-5","url":null,"abstract":"<p><p>Cystic fibrosis (CF) is a hereditary disorder characterized by mutations in the CFTR gene, leading to impaired chloride ion transport and subsequent thickening of mucus in various organs, particularly the lungs. Despite significant progress in CF management, current treatments focus mainly on symptom relief and do not address the underlying genetic defects. Stem cell and gene therapies present promising avenues for tackling CF at its root cause. Stem cells, including embryonic, induced pluripotent, mesenchymal, hematopoietic, and lung progenitor cells, offer regenerative potential by differentiating into specialized cells and modulating immune responses. Similarly, gene therapy aims to correct CFTR gene mutations by delivering functional copies of the gene into affected cells. Various approaches, such as viral and nonviral vectors, gene editing with CRISPR-Cas9, small interfering RNA (siRNA) therapy, and mRNA therapy, are being explored to achieve gene correction. Despite their potential, challenges such as safety concerns, ethical considerations, delivery system optimization, and long-term efficacy remain. This review provides a comprehensive overview of the current understanding of CF pathophysiology, the rationale for exploring stem cell and gene therapies, the types of therapies available, their mechanisms of action, and the challenges and future directions in the field. By addressing these challenges, stem cell and gene therapies hold promise for transforming CF management and improving the quality of life of affected individuals.</p>","PeriodicalId":10820,"journal":{"name":"Current Medical Science","volume":" ","pages":"1155-1174"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142827653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LncRNA H19 Activates the RAS-MAPK Signaling Pathway via miR-140-5p/SOS1 Axis in Malignant Liver Tumors.","authors":"Ya-Qun Yu, Shu-Qun Li, Jun Weng, Bo Li, Li-Ling Qin, Jun Lv","doi":"10.1007/s11596-024-2949-0","DOIUrl":"10.1007/s11596-024-2949-0","url":null,"abstract":"<p><strong>Objective: </strong>To study the influences of LncRNA H19 (H19) on malignant liver tumor cells and elucidate the underlying molecular mechanisms.</p><p><strong>Methods: </strong>H19 expression in liver tumor tissues, matched normal liver tissues, human liver malignant tumor cell lines and the human hepatocyte line LO2 was assessed via quantitative RT-PCR. Cell viability analysis and Matrigel invasion analysis were performed to evaluate the effects of H19 on cell proliferation and invasion. Luciferase reporter analysis was carried out to assess the interaction between miR-140-5p and SOS Ras/Rac guanine nucleotide exchange factor 1 (SOS1). The influence of H19 on the Ras-MAPK signalling pathway was evaluated by detecting key protein levels via active Ras pull-down analysis and Western blot analysis.</p><p><strong>Results: </strong>H19 expression was lower in liver cancer samples than in matched normal liver tissue samples. H19 overexpression enhanced the proliferation and invasion of HepG2 and SMMC-7721 cells. H19 overexpression increased the level of activated Ras. The expression levels of phosphorylated Raf, phosphorylated ERK and phosphorylated MEK were increased by H19 overexpression. H19 knockdown had the opposite effect. Treatment with a MAPK inhibitor significantly reversed the influence of H19 overexpression on liver malignant tumor cell growth and invasion. The MAPK activator reversed the opposing effects of H19 silencing. H19 overexpression increased the protein level of SOS1, and miR-140-5p directly targeted SOS1.</p><p><strong>Conclusion: </strong>H19 can activate the Ras-MAPK signalling pathway via the miR-140-5p/SOS1 axis in malignant liver tumour cells.</p>","PeriodicalId":10820,"journal":{"name":"Current Medical Science","volume":" ","pages":"1232-1240"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142675225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Novel Method for Mitochondrial Membrane Potential Detection in Heart Tissue Following Ischemia-reperfusion in Mice.","authors":"Chao Yin, Chen-Xing Huang, Le Pan, Ke-Jia Jin, Ying Wang, Meng-Ying Cao, Hong Lin, Pan Gao, Na Li, Hui Gong, Yun-Zeng Zou","doi":"10.1007/s11596-024-2956-1","DOIUrl":"10.1007/s11596-024-2956-1","url":null,"abstract":"<p><strong>Objective: </strong>Myocardial ischemia-reperfusion (I/R) injury is associated with a significant reduction in the mitochondrial membrane potential (MMP, ΔΨm). Fluorescence-based assays are effective for labelling active mitochondria in living cells; their application in heart tissue, however, represents a challenge because of a low yield of viable cardiomyocytes after cardiac perfusion. This study aimed to examine a novel method for detecting the changes in the MMP of mouse heart tissue following I/R injury.</p><p><strong>Methods: </strong>The I/R model was established, which was characterized by distinct ischemic area and apoptosis in heart tissue. The MMP was detected via a confocal microscope after the ascending aorta was clamped and the mitochondrial probe solution (containing Mito-Tracker Deep Red FM) was perfused from the apex via a peristaltic pump.</p><p><strong>Results: </strong>This method enabled the distribution of the probe solution throughout the cardiac tissue via the coronary circulation. Fluorescence detection revealed that the MMP was profoundly reduced in both ischemic area and border area following I/R when compared with that in the sham group. There was no obvious difference in the MMP of the remote area between the I/R group and the sham group.</p><p><strong>Conclusion: </strong>This study presents a novel method for detecting the MMP in heart tissue, and this method will facilitate the evaluation of changes in the MMP in different regions following I/R.</p>","PeriodicalId":10820,"journal":{"name":"Current Medical Science","volume":" ","pages":"1091-1096"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142767043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cell Cycle-Related LncRNA-Based Prognostic Model for Hepatocellular Carcinoma: Integrating Immune Microenvironment and Treatment Response.","authors":"Lin Chen, Guo-Zhi Wu, Tao Wu, Hao-Hu Shang, Wei-Juan Wang, David Fisher, Nguyen Thi Thu Hiens, Erkin Musabaev, Lei Zhao","doi":"10.1007/s11596-024-2924-9","DOIUrl":"10.1007/s11596-024-2924-9","url":null,"abstract":"<p><strong>Objective: </strong>Hepatocellular carcinoma (HCC) presents substantial genetic and phenotypic diversity, making it challenging to predict patient outcomes. There is a clear need for novel biomarkers to better identify high-risk individuals. Long non-coding RNAs (lncRNAs) are known to play key roles in cell cycle regulation and genomic stability, and their dysregulation has been closely linked to HCC progression. Developing a prognostic model based on cell cycle-related lncRNAs could open up new possibilities for immunotherapy in HCC patients.</p><p><strong>Methods: </strong>Transcriptomic data and clinical samples were obtained from the TCGA-HCC dataset. Cell cycle-related gene sets were sourced from existing studies, and coexpression analysis identified relevant lncRNAs (correlation coefficient >0.4, P<0.001). Univariate analysis identified prognostic lncRNAs, which were then used in a LASSO regression model to create a risk score. This model was validated via cross-validation. HCC samples were classified on the basis of their risk scores. Correlations between the risk score and tumor mutational burden (TMB), tumor immune infiltration, immune checkpoint gene expression, and immunotherapy response were evaluated via R packages and various methods (TIMER, CIBERSORT, CIBERSORT-ABS, QUANTISEQ, MCP-COUNTER, XCELL, and EPIC).</p><p><strong>Results: </strong>Four cell cycle-related lncRNAs (AC009549.1, AC090018.2, PKD1P6-NPIPP1, and TMCC1-AS1) were significantly upregulated in HCC. These lncRNAs were used to create a risk score (risk score=0.492×AC009549.1+1.390×AC090018.2+1.622×PKD1P6-NPIPP1+0.858×TMCC1-AS1). This risk score had superior predictive value compared to traditional clinical factors (AUC=0.738). A nomogram was developed to illustrate the 1-year, 3-year, and 5-year overall survival (OS) rates for individual HCC patients. Significant differences in TMB, immune response, immune cell infiltration, immune checkpoint gene expression, and drug responsiveness were observed between the high-risk and low-risk groups.</p><p><strong>Conclusion: </strong>The risk score model we developed enhances the prognostication of HCC patients by identifying those at high risk for poor outcomes. This model could lead to new immunotherapy strategies for HCC patients.</p>","PeriodicalId":10820,"journal":{"name":"Current Medical Science","volume":" ","pages":"1217-1231"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142834559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trends in Bacterial Distribution and Antimicrobial Resistance in Intensive Care Units of Hubei Province, China: A Four-year Surveillance Study (2020-2023).","authors":"Sui Gao, Cui Jian","doi":"10.1007/s11596-024-2959-y","DOIUrl":"10.1007/s11596-024-2959-y","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To investigate the distribution characteristics of common bacteria and changes in antimicrobial resistance in intensive care unit (ICU) patients in 58 hospitals in Hubei Province from 2020-2023.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Method: &lt;/strong&gt;The antimicrobial agents for antimicrobial susceptibility tests was selected based on the 2022 China Antimicrobial Resistance surveillance system (CARSS) technical scheme, and the specific experimental operation was based on the requirements of the CLSI M02 and M07 documents. The commercial instruments were used following the manufacturer's instructions. The interpretation of antimicrobial susceptibility test results was based on the 2023 CLSI M100 standard.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;There were 15 585, 19 258, 23 423 and 22 395 clinical isolates in the ICU from 2020 to 2023, respectively. Among them, gram-positive bacteria accounted for 20.5% (3190/15 585), 21.2% (4089/19 258), 21.6% (5067/23 423) and 21.6% (4 831/22 395), respectively. Gram-negative bacteria accounted for 79.5% (12 395/15 585), 78.8% (15 169/19 258), 78.4% (18 356/23 423) and 78.4% (17 564/22 395) of the bacteria, respectively. The top 5 isolates of gram-positive bacteria were Staphylococcus aureus, Enterococcus faecium, Streptococcus pneumoniae, Enterococcus faecalis, Staphylococcus epidermidis and gram-negative bacteria were Klebsiella pneumoniae, Acinetobacter baumannii, Escherichia coli, Pseudomonas aeruginosa and Stenotrophomonas maltophil, respectively, but the proportions and rankings of the isolates in different years slightly differed. The detection rate of methicillin-resistant S. aureus (MRSA) decreased from 44.4% in 2020 to 36% in 2023, and that of methicillin-resistant coagulase-negative Staphylococcus (MRCNS) decreased from 79.8% in 2020 to 73.8% in 2022 and increased to 78.4% in 2023. The detection rates of both vancomycin-resistant E. faecium and E. faecalis were lower than 1%. The detection rate of carbapenem-resistant P. aeruginosa (CRPA) decreased from 25% in 2020 to 19.7% in 2022 and increased slightly to 20.6% in 2023. The detection rate of carbapenem-resistant A. baumannii (CRAB) decreased from 81.9% in 2020 to 79.7% in 2022 and increased to 82.9% in 2023. The detection rate of third-generation cephalosporin-resistant E. coli decreased from 59.8% in 2020 to 53.1% in 2022 and increased to 52.5% in 2023. The detection rate of fluoroquinolone-resistant E. coli decreased from 62.7% in 2020 to 50.2% in 2022 and increased slightly to 51.0% in 2023. The detection rate of carbapenem-resistant E. coli (CRECO) decreased from 3.3% in 2020 to 1.8% in 2022 and slightly increased to 2.1% in 2023. The detection rate of third-generation cephalosporin-resistant K. pneumoniae decreased from 34.3% in 2020 to 26.3% in 2022 and then increased to 32.4% in 2023. The detection rate of carbapenem-resistant K. pneumoniae (CRKPN) increased from 17.9% to 19.4% in 2020, decreased to 13.2% in 2022, and rose sharply to 20.4% in 2","PeriodicalId":10820,"journal":{"name":"Current Medical Science","volume":" ","pages":"1193-1201"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142766594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}