1.Intra-abdominal Hernia with Bowel Obstruction Triggering Multi-organ Failure: The Role of Preoperative Enteritis
Yue-zhen Wang ; Ben-yi Tian ; Jian-hui Qin ; Hao Liang
Journal of Surgical Academia 2026;16(1):1-4
Intra-abdominal Hernia with Bowel Obstruction Triggering Multi-organ Failure: The Role of Preoperative Enteritis
This report details the clinical course of a 41-year-old male who developed fulminant multiple organ dysfunction syndrome following emergency surgery for a strangulated intra-abdominal hernia. Preoperative manifestations, including diarrhea and marked leukocytosis, pointed towards an underlying infectious enteritis. We posited that surgical release of the obstructed, ischemic bowel segment precipitated a massive systemic influx of endotoxins and inflammatory mediators, triggering septic shock and rapid sequential organ failure. This case underscored the critical need to suspect concomitant gastrointestinal infection in patients presenting with mechanical bowel obstruction accompanied by infectious signs. Aggressive perioperative sepsis management encompassing early empiric antimicrobial therapy, vigilant hemodynamic monitoring, and preparedness for advanced organ support is essential to mitigate this severe complication.
2.The value of preoperative LNLR combined with cM0(i+)staging in prognostic assessment and model construction for clear cell renal cell carcinoma
Yu QIAO ; Zhenlong WANG ; Haibin ZHOU ; Huayang ZHENG ; Zihao LI ; Yao DONG ; Geng TIAN ; Tie CHONG ; Yue CHONG
Journal of Modern Urology 2026;31(3):207-216
Objective To construct and evaluate a prognostic model for clear cell renal cell carcinoma(ccRCC)based on preoperative lipid ratios, cM0(i+)staging, and other clinical characteristics, so as to provide a precise tool for clinical prognosis assessment. Methods A retrospective analysis was conducted on the clinical data of 215 ccRCC patients treated in our hospital during May 2014 and May 2023. Lipid ratios were calculated using preoperative lipid data, and patients were divided into cM0(i+)stage or cM0 stage according to postoperative circulating tumor cells(CTCs)test results. The optimal lipid ratio and cutoff value were selected using receiver operating characteristic(ROC)curves and the X-tile method. Patients were subdivided into three groups based on the level of the low-density lipoprotein cholesterol to non-low-density lipoprotein cholesterol ratio(LNLR)and cM0(i+)staging:Group A [LNLR>1.68 and diagnosed with cM0(i+)], Group B [LNLR>1.68 or diagnosed with cM0(i+)], and Group C(LNLR ≤1.68 and diagnosed with cM0). Kaplan-Meier survival analysis was used to plot survival curves for patients in different groups. The log-rank test was employed to compare differences in recurrence-free survival(RFS)among the subgroups. Multivariate Cox regression analysis was conducted to identify the independent risk factors influencing RFS, and a nomogram prediction model was constructed based on these results. The predictive performance of the model was validated using ROC curves, calibration curves, and decision curves. Results ROC curves were plotted for lipid markers, and LNLR was identified as the most predictive for RFS. Its optimal cutoff point was 1. 68. Patients in Group A experienced a significantly shorter postoperative RFS. Multivariate Cox regression analysis identified preoperative LNLR, cM0(i+)staging, pathological grade, and stage as independent risk factors for RFS. A nomogram model was constructed based on these risk factors. The area under the ROC curve(AUC)for 1-, 3-, and 5-year RFS was 0.896(95% CI:0.8121-0.9627), 0.890(95%CI:0.7879-0.9641), and 0.870(95%CI:0.7697-0.9526), indicating good discriminatory ability and predictive performance. Calibration plots demonstrated good agreement between predicted and actual outcomes. Clinical decision curve analysis showed high clinical net benefit. Conclusion Preoperative LNLR level is an independent risk factor for RFS in ccRCC patients. The prognostic prediction model based on LNLR, cM0(i+)staging, patient pathological grade, and staging demonstrates good predictive performance for RFS and holds potential clinical application value.
3.Ethical issues in digital medical insurance governance: generation, manifestations, and countermeasures
Zengying ZHUANG ; Linlin YUE ; Yanjie JIANG ; Guiying XUAN ; Bo WANG ; Shenchao JIANG ; Jingchao HE ; Xutong LIU ; Shangwei HAN ; Xuerun TIAN ; Yongxuan LIU ; Nuo XU ; Qifan YANG
Chinese Medical Ethics 2026;39(10):1342-1348
Digital medical insurance governance, as an important component of digital transformation, improves the efficiency of medical insurance services while facing complex ethical challenges. Taking stakeholder theory as the analytical framework, this paper explored the generative mechanisms, manifestations, and countermeasures of ethical issues in digital medical insurance governance. This study uncovered that accelerated technological iteration and lagging ethical and legal norms, as well as interest conflicts among multiple participants in governance, constituted the major causes of ethical issues. These issues specifically manifested as data privacy leakage, unfair algorithmic decision-making, widening digital divide, ambiguous accountability, and other aspects. To address these issues, this paper put forward systematic countermeasures, such as establishing a dynamic ethical and legal regulatory system, balancing the demands of stakeholders, strengthening technological ethical governance, narrowing the digital divide, and enhancing accountability mechanisms. Through the implementation of multi-dimensional governance strategies, it aimed to balance technological innovation and ethical constraints, advance the inclusiveness, fairness, and sustainable development of digital medical insurance, and provide theoretical reference and practical references for improving China’s digital medical insurance governance system.
4.Real-world effectiveness and safety of upadacitinib in difficult-to-treat Crohn's disease: a multicenter study in China
Zile ZHANG ; Shuowen ZHANG ; Wensong GE ; Yue LI ; Ruidong CHEN ; Wen TANG ; Qunying WANG ; Yihong FAN ; Linyan ZHOU ; Feng TIAN ; Chunxiao CHEN ; Yubei GU ; Duowu ZOU
Chinese Journal of Inflammatory Bowel Diseases 2025;09(6):443-447
Objective:To evaluate the efficacy and safety of upadacitinib in the real-world treatment of difficult-to-treat Crohn's disease (DTT-CD) .Methods:This multicenter, retrospective cohort study included patients diagnosed with DTT-CD according to the International Organization for the Study of Inflammatory Bowel Diseases (IOIBD) criteria, and treated at eight Chinese inflammatory bowel disease centers between January 2023 and March 2025. Clinical outcomes were assessed after 12 weeks of induction therapy with upadacitinib (45 mg qd), including clinical remission rate, clinical response rate, and incidence of adverse events.Results:Among 151 enrolled DTT-CD patients, the clinical remission rate was 47.0%, and the clinical response rate was 90.7% after 12 weeks of treatment. Adverse events occurred in 42 cases (27.8%) .Conclusion:Upadacitinib demonstrated favorable efficacy in inducing clinical remission in DTT-CD patients, with a good safety profile at the induction dose (45 mg qd) .
5.Epidemic characteristics and trend analysis of acute hemorrhagic conjunctivitis in China from 2015 to 2022
Yunfei ZHANG ; Yue SHI ; Jianfeng JIANG ; Xuedong ZHENG ; Baijun JIN ; Zhaorui CHANG ; Tian QIN ; Mengjie GENG ; Shiwen WANG
Chinese Journal of Experimental and Clinical Virology 2025;39(3):270-277
Objective:To analyze the epidemiological characteristics and trend of acute hemorrhagic conjunctivitis (AHC) in China from 2015 to 2022, and to provide evidence for the adjustment of prevention and control strategies and measures for AHC.Methods:The case data of AHC reported by national notifiable disease information system from 2015 to 2022 were collected, and descriptive analysis method were used to analyze the population distribution characteristics, temporal epidemiological trends and spatial clusters of AHC in China.Results:From 2015 to 2022, the incidence of AHC in China ranged from 1.85/100 000 to 2.97/100 000, with a fluctuating downward trend. The average annual percent change (AAPC) was -4.91 (95% CI: -7.74 to -2.00, P<0.05), with an annual percent change (APC) of 2.73 (95% CI: -2.34 to 8.06, P=0.189) for 2015—2019 and an APC of -14.23 (95% CI: -21.78 to -5.94, P<0.05). The age-specific incidence rate was highest in children aged 0-4 years (fluctuating between 4.69 and 5.67/100 000 from 2015 to 2019; It decreased significantly during 2020—2022, fluctuating between 1.93 and 2.72 per 100 000).The proportion of cases in children at 0-4 years of age showed a fluctuating downward trend from 8.68% in 2015 to 3.76% in 2020, with an increase in 2021—2022 to 5.74%. After 2020, the proportion of the population aged 60 years and above has increased, reaching 33.59% in 2022. Cases were mainly farmers, with a fluctuating upward trend of around 50% per year, with the highest percentage of 60.96% in 2020. The peak seasonal incidence of AHC was obvious from May to September from 2015 to 2019, but it was not obvious in 2020—2022. The cases were mainly distributed in Guangxi, Hainan and other provinces in the southwestern part of China. The high incidence counties were concentrated in Leye County of Guangxi, Maojian District of Hubei, Fuchuan Yao Autonomous County of Guangxi, Funing County of Yunnan, and Pulan County of Tibet every year. Conclusions:The overall epidemic rate of AHC in China showed a fluctuating downward trend from 2015 to 2022, with a pronounced decline observed between 2020 and 2022, potentially linked to non-pharmaceutical interventions during the COVID-19 pandemic. Increased attention needs to be given to farmers and people above 60 years of age to reduce the risk of morbidity. Moreover, prevention and control efforts should be strengthened in high-risk areas of southwestern China, and comprehensive measures should be implemented in counties with high incidence, including enhanced health education campaigns and improved allocation of sanitary facilities, to reduce the risk of AHC infection. This study is the first to highlight the potential impact of public health policies on AHC epidemiology, thereby offering a scientific foundation for population- and region-specific precision prevention strategies, particularly guiding the refinement of control measures in high-burden areas.
6.Diagnostic value of a simplified confocal laser endomicroscopy healing score for deep remission in ulcerative colitis
Yue ZHENG ; Jixin ZHANG ; Jinwei WANG ; Yu TIAN ; Junxia LI ; Huahong WANG
Chinese Journal of Digestive Endoscopy 2025;42(5):384-390
Objective:To develop a simplified confocal laser endomicroscopy (CLE)-based healing scoring system for assistant diagnosis of deep remission in ulcerative colitis (UC).Methods:CLE images from consecutive UC patients in clinical remission or mild activity and healthy controls undergoing CLE at Peking University First Hospital from January 2017 to December 2019 were retrospectively analyzed. According to the diagnosis of inflammation in intestinal segments in the medical records of UC patients, CLE images were divided into two groups, the involved group (inflamed UC segment) and the control group (segments from healthy individuals and non-inflamed UC segments). CLE features differentiating the groups were identified, and univariable regression analysis was used to obtain indicators related to unhealed histological inflammation (Geboes score>2.0), forming a simplified CLE healing score using the significant indicators, and receiver operator characteristic (ROC) curve was drawn.Results:The study included 53 UC patients and 14 healthy controls, yielding 201 CLE segments (42 healthy, 69 non-inflamed, 90 inflamed). Eight CLE features differed significantly between the involved and the control groups ( P<0.001), including crypt distortion, crypt lumen irregularity, crypt proximity, crypt sparsity, crypt lumen fluorescein leakage, vascular fluorescein leakage, increased vessel diameter, and cellular infiltration. Univariable regression analysis indicated there were 4 indicators related to histological inflammation, including crypt distortion ( P=0.025, OR=3.613, 95% CI:1.174-11.114), crypt lumen irregularity ( P=0.021, OR=4.081, 95% CI: 1.233-13.511), crypt fluorescein leakage ( P=0.011, OR=5.486, 95% CI: 1.468-20.494) and increased vessel diameter ( P=0.002, OR=7.724, 95% CI: 2.062-28.938). These 4 indicators were combined to form a simplified CLE healing score and a ROC curve was plotted with AUC of 0.769 (95% CI:0.654-0.833). The optimal threshold for histological healing was the absence of all four features (score=0), with sensitivity and specificity of 83.1% (59/71) and 42.1% (8/19), respectively. Conclusion:The simplified CLE score demonstrates high sensitivity and correlates positively with histological healing, supporting its utility as an adjunct tool for assessing deep remission in UC.
7.Predictive value of dose surface histogram for acute radiation proctitis induced by image guided radiotherapy for cervical cancer
Qing-xiao LIU ; Yue-xiang ZHU ; Wei WEI ; Long TIAN ; Song-lin YANG ; Zheng WANG ; Yu-sen ZHAO ; Su-li WANG ; Mao-ye CHANG
Chinese Medical Equipment Journal 2025;46(3):48-53
Objective To explore the predictive value of dose surface histogram(DSH)in image guided radiotherapy(IGRT)for radiotherapy-induced acute radiation proctitis(ARP)in cervical cancer(CCA).Methods Totally 380 patients with CCA IGRT admitted to some hospital from May 2019 to May 2023 were selected prospectively and randomly divided into a control group(n=1 80)and an experimental group(n=200).The patients in the 2 groups were followed up and the incidence rates of ARP were counted,and rectal dose distribution was evaluated using dose volume histogram(DVH)in the control group and DSH in the experimental group.The predictive values of DVH and DSH for ARP were evaluated and compared using ROC curves.Statistical analysis was performed using SPSS 21.0 software.Results The two groups did not have statistically significant difference in the incidence rate of ARP(P>0.05),while there were significant differences in the evaluation indicators of the rectal dose distribution(P<0.05).V40,V50,S40 and S50 proved to have low predictive values for grade Ⅰ-Ⅳ ARP with AUC 0.700(P<0.05);V60 and S60 had moderate predictive values for grade Ⅰ-Ⅳ ARP with AUC greater than 0.700 and less than or equal to 0.900(P<0.05);V70,V78,S70 and S7s showed high predictive values for grade Ⅰ-Ⅳ ARP with AUC higher than 0.900(P<0.05).Delong's test results indicated that DVH and DSH had no significant differences in AUC when used to predict gradeⅠ-Ⅳ ARP(allP>0.05).Conclusion DSH is essentially the same as DVH when used for the prediction of grade Ⅰ-Ⅳ ARP due to CCA IGRT,and thus can be used for the supplementation and optimization of radiotherapy planning systems.[Chinese Medical Equipment Journal,2025,46(3):48-53]
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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