1.Relationship between serum microRNA-214,ChE,albumin levels and prognosis of patients with acute organophosphate poisoning
Shanmin JIN ; Qing WEI ; Shouren ZHU
International Journal of Laboratory Medicine 2025;46(4):466-470
Objective To analyze the relationship between serum micro ribonucleic acid(miRNA)-214,cholinesterase(ChE),albumin(ALB)levels and the prognosis of patients with acute organophosphate poison-ing(AOPP).Methods A total of 160 patients with AOPP admitted to the hospital were enrolled as the re-search objects between June 2018 and December 2022.According to whether they were alive at 14 d after treatment,patients were divided into survival group(119 cases)and death group(41 cases).The relative ex-pression level of serum miRNA-214 was detected by fluorescence quantitative polymerase chain reaction,ChE level was detected by full-automatic biochemical analyzer,and level of serum ALB was detected by immuno-turbidimetry.The correlation between serum miRNA-214 and ChE,ALB in AOPP patients was analyzed by Pearson correlation analysis.The risk factors of prognosis in AOPP patients were analyzed by Logistic regres-sion analysis.The predictive efficiency of acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score,miRNA-214,ChE and ALB for prognosis was detected by receiver operating characteristic(ROC)curves.Results APACHE Ⅱ score and relative expression level of serum miRNA-214 in death group were significantly higher than those in survival group,while levels of ChE and ALB were significantly lower than those in survival group(P<0.05).The results of Logistic regression analysis showed that miRNA-2143.75 and ChE<931.92 U/L were all independent risk factors of poor prognosis in AOPP patients(P<0.05).Pearson correlation analysis showed that miRNA-214 was not correlated with ChE and ALB in death group(r=-0.172,0.035,P>0.05).The results of ROC curves showed that area under the curve(AUC)values of APACHE Ⅱ score,miRNA-214,ChE and ALB for predicting poor prognosis of AOPP patients were 0.777,0.933,0.805 and 0.881,respectively.Conclusion The serum miRNA-214,ChE and ALB levels are re-lated to prognosis of AOPP patients,which can be applied as important reference indexes to predict prognosis of AOPP patients.
2.Correlation Analysis of Left Heart Volume and Atrial Fibrillation in Patients With Non-obstructive Hypertrophic Cardiomyopathy
Pan YANG ; Minghu XIAO ; Yajie TANG ; Qing WEI ; Xin QUAN ; Weichun WU ; Lei SONG ; Zhenhui ZHU
Chinese Circulation Journal 2025;40(3):240-245
Objectives:To analyze the risk factors of atrial fibrillation in patients with non-obstructive hypertrophic cardiomyopathy(NOHCM)and explore the relationship between left ventricular/atrial volume and atrial fibrillation.Methods:Consecutive NOHCM patients admitted at Fuwai Hospital from January 2023 to January 2024 with complete clinical data,satisfactory echocardiography imaging data were included in this analysis,patients were divided into atrial fibrillation group(n=28)and non-atrial fibrillation group(n=57).Left-sided volumetric and functional parameters were measured by one-beat real-time full-volume three-dimensional echocardiography,including left ventricular end-diastolic volume(LVEDV),left ventricular end-systolic volume(LVESV),left ventricular ejection fraction(LVEF),left atrial volume(LAV).The left ventricular end-diastolic volume(LVEDVi)index,left ventricular end-systolic volume index(LVESVi)and left atrial volume index(LAVi)were calculated.Other echocardiographic parameters including interventricular septum(IVSmax)thickness,left ventricular posterior wall thickness(LVPW),and left atrial diameter(LAD)were routinely measured.Mitral valve forward flow spectrum,tissue Doppler,tricuspid regurgitation velocity,and left atrial size were used to evaluate the left ventricular diastolic function of patients,and diastolic dysfunction was classified into grade I,II,and III.Multivariate logistic regression was used to analyze the influencing factors of atrial fibrillation in patients with non-obstructive hypertrophic cardiomyopathy Results:Compared with the non-atrial fibrillation group,LVEDV([143.8±26.7]ml vs.[117.1±21.9]ml)and LVEDVi([79.4±11.9]ml/m2 vs.[64.2±10.6]ml/m2)were smaller in atrial fibrillation group(both P<0.001).Compared with the non-atrial fibrillation group,LAD([40.2±4.7]mm vs.[48.6±4.8]mm)and LAVi([37.3±8.9]ml/m2 vs.[64.4±17.1]ml/m2)were lager in atrial fibrillation group(both P<0.001).Compared with the non-atrial fibrillation group,the proportion of NYHA functional classification≥Ⅲ was higher(15.8%vs.50.0%,P<0.001),LVEF was lower([61.5±5.5]%vs.[57.6±5.0]%,P=0.002),and proportion of severe diastolic dysfunction was higher in atrial fibrillation group(P<0.001).Logistic regression analysis showed that the factors associated with atrial fibrillation in NOHCM patients were LVEDVi(OR=0.744,95%CI:0.575-0.962,P=0.024)and LAVi(OR=1.602,95%CI:1.032-2.486,P=0.036).Conclusions:LVEDVi and LAVi are related factors for atrial fibrillation in patients with non-obstructive hypertrophic cardiomyopathy.LVEDVi is negatively,while LAVi is positively associated with the occurrence of atrial fibrillation in NOHCM patients.
3.Expert consensus on integrated diagnosis and treatment techniques for oropharyngeal squamous cell carcinoma
Wei SHANG ; Haoyue XU ; Zongxuan HE ; Xiaoying LI ; Haijun LU ; Xiaohong ZHAN ; Dapeng HAO ; Yan SUN ; Wei GUO ; Zhangui TANG ; Guoxin REN ; Zhijun SUN ; Jian MENG ; Jie ZHANG ; Jichen LI ; Yue HE ; Chunjie LI ; Jianhua WEI ; Lizheng QIN ; Yaowu YANG ; Qing XI ; Wei WU ; Kai YANG ; Bing HAN ; Lingxue BU ; Shuangyi WANG ; Kai SONG ; Jiaqi ZHU ; Hongyu HAN ; Yu KONG ; Jieying LI ; Man HU ; Mingjin XU ; Moyi SUN
Journal of Practical Stomatology 2025;41(6):725-736
In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.
4.Association of Dietary Preferences with All-Cause and Cause-Specific Mortality: Prospective Cohort Study of 1,160,312 Adults in China.
Wen Ru SHI ; Si Tong WEI ; Qing Mei HUANG ; Huan CHEN ; Dong SHEN ; Bo Feng ZHU ; Chen MAO
Biomedical and Environmental Sciences 2025;38(9):1120-1128
OBJECTIVE:
Although dietary preferences influence chronic diseases, few studies have linked dietary preferences to mortality risk, particularly in large cohorts. To investigate the relationship between dietary preferences and mortality risk (all-cause, cancer, and cardiovascular disease [CVD]) in a large adult cohort.
METHODS:
A cohort of 1,160,312 adults (mean age 62.48 ± 9.55) from the Shenzhen Healthcare Big Data Cohort (SHBDC) was analyzed. Hazard ratios ( HRs) for mortality were estimated using the Cox proportional hazards model.
RESULTS:
The study identified 12,308 all-cause deaths, of which 3,865 (31.4%) were cancer-related and 3,576 (29.1%) were attributed to CVD. Compared with a mixed diet of meat and vegetables, a mainly meat-based diet (hazard ratio [ HR] = 1.13; 95% confidence interval [ CI]: 1.02, 1.27) associated with a higher risk of all-cause mortality, while mainly vegetarian ( HR = 0.87; 95% CI: 0.78, 0.97) was linked to a reduced risk. Furthermore, there was a stronger correlation between mortality risk and dietary preference in the > 65 age range.
CONCLUSION
A meat-based diet was associated with an increased risk of all-cause mortality, whereas a mainly vegetarian diet was linked to a reduced risk.
Humans
;
China/epidemiology*
;
Middle Aged
;
Male
;
Female
;
Prospective Studies
;
Aged
;
Cardiovascular Diseases/mortality*
;
Diet/statistics & numerical data*
;
Neoplasms/mortality*
;
Adult
;
Cause of Death
;
Food Preferences
;
Proportional Hazards Models
;
Mortality
;
Cohort Studies
5.Association between Serum Chloride Levels and Prognosis in Patients with Hepatic Coma in the Intensive Care Unit.
Shu Xing WEI ; Xi Ya WANG ; Yuan DU ; Ying CHEN ; Jin Long WANG ; Yue HU ; Wen Qing JI ; Xing Yan ZHU ; Xue MEI ; Da ZHANG
Biomedical and Environmental Sciences 2025;38(10):1255-1269
OBJECTIVE:
To explore the relationship between serum chloride levels and prognosis in patients with hepatic coma in the intensive care unit (ICU).
METHODS:
We analyzed 545 patients with hepatic coma in the ICU from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Associations between serum chloride levels and 28-day and 1-year mortality rates were assessed using restricted cubic splines (RCSs), Kaplan-Meier (KM) curves, and Cox regression. Subgroup analyses, external validation, and mechanistic studies were also performed.
RESULTS:
A total of 545 patients were included in the study. RCS analysis revealed a U-shaped association between serum chloride levels and mortality in patients with hepatic coma. The KM curves indicated lower survival rates among patients with low chloride levels (< 103 mmol/L). Low chloride levels were independently linked to increased 28-day and 1-year all-cause mortality rates. In the multivariate models, the hazard ratio ( HR) for 28-day mortality in the low-chloride group was 1.424 (95% confidence interval [ CI]: 1.041-1.949), while the adjusted hazard ratio for 1-year mortality was 1.313 (95% CI: 1.026-1.679). Subgroup analyses and external validation supported these findings. Cytological experiments suggested that low chloride levels may activate the phosphorylation of the NF-κB signaling pathway, promote the expression of pro-inflammatory cytokines, and reduce neuronal cell viability.
CONCLUSION
Low serum chloride levels are independently associated with increased mortality in patients with hepatic coma.
Humans
;
Male
;
Female
;
Middle Aged
;
Intensive Care Units
;
Prognosis
;
Chlorides/blood*
;
Aged
;
Coma/blood*
;
Adult
6.NFKBIE: Novel Biomarkers for Diagnosis, Prognosis, and Immunity in Colorectal Cancer: Insights from Pan-cancer Analysis.
Chen Yang HOU ; Peng WANG ; Feng Xu YAN ; Yan Yan BO ; Zhen Peng ZHU ; Xi Ran WANG ; Shan LIU ; Dan Dan XU ; Jia Jia XIAO ; Jun XUE ; Fei GUO ; Qing Xue MENG ; Ren Sen RAN ; Wei Zheng LIANG
Biomedical and Environmental Sciences 2025;38(10):1320-1325
7.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; 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 ; 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(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
8.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.
9.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.
10.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.

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