1.Serological characteristics of individuals with hepatitis C virus/hepatitis B virus overlapping infection
Yanfei CUI ; Xia HUANG ; Chao ZHANG ; Yingjie JI ; Song QING ; Yuanjie FU ; Jing ZHANG ; Li LIU ; Yongqian CHENG
Journal of Clinical Hepatology 2026;42(1):74-79
ObjectiveTo investigate the status of overlapping hepatitis B virus (HBV) infection in patients with chronic hepatitis C virus (HCV) infection and the serological characteristics of such patients. MethodsA total of 8 637 patients with HCV infection who were hospitalized from January 1, 2010 to December 31, 2020 and had complete data of HBV serological markers were enrolled, and the composition ratio of patients with overlapping HBV serological markers was analyzed among the patients with HCV infection. The patients were divided into groups based on age and year of birth, and serological characteristics were analyzed, and the distribution of HBV-related serological characteristics were analyzed across different HCV genotypes. ResultsThe patients with HCV/HBV overlapping infection accounted for 5.85%, and the patients with previous HBV infection accounted for 48.10%; the patients with protective immunity against HBV accounted for 14.67%, while the patients with a lack of protective immunity against HBV accounted for 31.39%. The patients were divided into groups based on age: in the 0 — 17 years group, the patients with protective immunity against HBV accounted for 61.41% (304 patients); the 18 — 44 years group was mainly composed of patients with previous HBV infection (698 patients, 37.31%), the 45 — 59 years group was predominantly composed of patients with previous HBV infection (1 945 patients, 50.38%), and the ≥60 years group was also predominantly composed of patients with previous HBV infection (1 486 patients, 61.66%). The patients were divided into groups based on the year of birth: in the pre-1992 group, the patients with previous HBV infection accounted for 51.63% (4 112 patients); in the 1992 — 2005 group, the patients with protective immunity against HBV accounted for 54.72% (168 patients); in the post-2005 group, the patients with protective immunity against HBV accounted for 64.38% (235 patients). In this study, 6 301 patients underwent HCV genotype testing: the patients with genotype 1b accounted for the highest proportion of 51.71% (3 258 patients), followed by those with genotype 2a (1 769 patients, 28.07%), genotype 3b (63 patients, 1.00%), genotype 3a (10 patients, 0.16%), genotype 4 (21 patients, 0.33%), and genotype 6a (5 patients, 0.08%). ConclusionWith the implementation of hepatitis B planned vaccination program in China, there has been a significant reduction in the proportion of patients with previous HBV infection among the patients with HCV/HBV overlapping infection, but there is still a relatively high proportion of patients with a lack of protective immunity against HBV.
2.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.
3.Mediating role of optimism between mindfulness level and subjective well-being in patients after lung transplantation
Liqin SONG ; Ying ZHOU ; Danxia HUANG ; Jing CHENG ; Chunqin LIU ; Qing LUO ; Yimeng LIU ; Xinyang HU ; Wenying TAN
Chinese Journal of Modern Nursing 2025;31(5):603-609
Objective:To explore the relationship between mindfulness, optimism, and subjective well-being in post-lung transplantation patients, so as to provide a basis for nursing staff to improve patients' subjective well-being.Methods:This study was a cross-sectional survey. Convenience sampling was used to select 205 post-lung transplantation patients admitted to the First Affiliated Hospital of Guangzhou Medical University from October 2022 to November 2023 for the study. General Information Questionnaire, World Health Organization-Five Well-Being Scale, Mindful Attention Awareness Scale (MAAS) and Life Orientation Test-R (LOT-R) were used to investigate the study participants. Pearson correlation was used to analyze the correlation between subjective well-being and mindfulness and optimism in patients after lung transplantation. AMOS 24.0 software was used to construct a mediating model to analyze the path relationship between mindfulness, optimism and subjective well-being.Results:A total of 205 questionnaires were distributed and 202 valid questionnaires were recovered, with an effective recovery rate of 98.54% (202/205). In 202 patients after lung transplantation, the WHO-5 Well-Being Scale total score, MAAS total score, and LOT-R score were (16.31±4.73), (56.75±9.44), and (18.49±3.85), respectively. Lung transplantation patients' subjective well-being was positively correlated with mindfulness and optimism ( r=0.570, 0.600, both P<0.01). Optimism partially mediated the relationship between mindfulness and subjective well-being, with an effect value of 0.290 and an effect proportion of 52.35% (0.290/0.554) . Conclusions:Mindfulness and optimism are both positively correlated with subjective well-being in post-lung transplantation patients, and mindfulness could also influence subjective well-being through the mediating effect of optimism. Healthcare professionals should fully explore and cultivate positive psychological resources, such as mindfulness, in lung transplant patients, by increasing optimism as the target of intervention, which in turn improves patients' subjective well-being.
4.Finite element analysis of the influence of intra-articular impacted fragment area and volume on joint contact stress in ankle fractures
Wenyong XIE ; Qingpeng SONG ; Yuan LIU ; Qing LIU ; Jian LIU ; Guanglei CAO ; Ye HUANG
Chinese Journal of Orthopaedics 2025;45(16):1066-1071
Objective:To explore the effect of the defect area and volume of intra-articular impacted fragments (IAIF) on the contact stress of the ankle joint surface.Methods:A 23-year-old male volunteer, 168 cm in height and 60 kg in weight, with no history of trauma or anatomic abnormality of the ankle, was selected. On the basis of a normal ankle finite-element model, IAIF-defect finite-element models were established. The first group consisted of IAIF-defect models with identical area but different volumes: on the distal tibial articular surface the defect area was 4 mm × 5 mm (20 mm 2), and the heights were 2 mm, 3 mm, 4 mm, 5 mm and 6 mm. The second group consisted of IAIF-defect models with identical defect volume but different areas. The defect volume was 90 mm 3, while the defect areas on the distal tibial articular surface were 2 mm×3 mm, 3 mm×3 mm, 3 mm×5 mm, 3 mm×6 mm, and 5 mm×6 mm, with corresponding heights of 15 mm, 10 mm, 6 mm, 5 mm, and 3 mm. Under a 600 N vertical load the contact stress of the ankle joint was calculated, and the finite-element data were recorded and analyzed. Pearson correlation analysis was used to analyze, separately for the two groups, the correlation between IAIF defect and the maximum contact stress (MCS) of the distal tibial articular surface, and simple linear regression analysis was performed to obtain regression equations. Equivalence zero testing was used to verify the correlations and to compare their differences. Results:For IAIF defects with the same area but different volumes, including 4 mm×5 mm×2 mm, 4 mm×5 mm×3 mm, 4 mm×5 mm×4 mm, 4 mm×5 mm×5 mm, and 4 mm× 5 mm×6 mm, the corresponding maximum contact stress (MCS) on the distal tibial joint surface were 3.846 MPa, 3.839 MPa, 3.835 MPa, 3.833 MPa, and 3.831 MPa, respectively, with an average of 3.837 MPa. The mean ±1% range is from 3.799 MPa to 3.875 MPa. The correlation analysis showed that the IAIF defects with the same area but different volumes were negatively correlated with contact stress ( r=-0.956, P=0.011). The linear regression equation was MCS=-0.0002×VI+3.851, where VI denotes IAIF volume. Equivalence zero testing confirmed that all measured values lay within the predefined ±1 % margin, satisfying the equivalence null hypothesis. For IAIF defects of identical volume (90 mm 3) but varying articular surface areas—2 mm×3 mm, 3 mm×3 mm, 3 mm×5 mm, 3 mm×6 mm and 5 mm×6 mm—the corresponding MCS values were 2.147 MPa, 2.812 MPa, 3.622 MPa, 4.476 MPa and 6.186 MPa, respectively (mean 3.849 MPa; equivalence band 3.811-3.887 MPa at ±1% of the mean). Correlation analysis demonstrated a strong positive relationship between identical-volume varying-area IAIF defects and contact stress ( r=0.996, P<0.001). The linear regression equation was MCS=0.168×AI+1.236, where AI denotes IAIF area. Equivalence zero testing indicated that none of the measured values fell within the predefined ±1% margin, failing to satisfy the equivalence null hypothesis. Conclusion:In posterior ankle fractures, the volume change of IAIF defects has no clinical significance in relation to MCS, showing a small negative correlation. However, the area change of IAIF defects is clinically significant in relation to MCS, demonstrating a larger positive correlation.
5.RICH1 regulates myocardial fibrosis through TGF-β/SMAD signaling pathway
Lu-xuan WAN ; Ying-qing HU ; Yuan-yuan LIU ; Yong-song TANG ; Jun-yi HUANG ; Zi-xuan ZHANG ; Xiao-xiao MAO ; Xin-wen NIE ; Zhan-hong REN
Chinese Pharmacological Bulletin 2025;41(11):2089-2096
Aim To reveal the mechanism of CIP4 homologs protein 1(RICH1)are involved in the regu-lation of myocardial fibrosis.Methods Mouse cardiac fibroblasts(MCFs)cells were treated with transforming growth factor-β(TGF-β1)to induce the formation of a myocardial fibrosis cell model;the level of the target protein was detected by Western blotting;and the RICH1 gene was detected by transfection of the cells with plasmid.The RICH1 gene was overexpressed(RICH 1 OE)using plasmid transfection;the RICH1 gene was silenced using siRNA fragment(siRICH1);and the expression levels of myocardial fibrosis marker genes,such as Col1 a1,Col3 a1,and Acta2,were de-tected using RT-qPCR.Results RICH1 was signifi-cantly down-regulated in TGF-β1-treated MCFs;the expression levels of myocardial fibrosis marker genes,such as Col1 a1,Col3a1,and Acta2,were down-regu-lated in the RICH1 OE+TGF-β1 group;and in the siRICH1+TGF-β1 group,myocardial fibrosis marker genes,such as Col1 a1,Col3a1 and Acta2 were up-regulated at the expression level;phosphorylated SMAD2(p-SMAD2)and phosphorylated SMAD3(p-SMAD3)levels were down-regulated in the siRICH1 OE+TGF-β1 group.p-SMAD2 and P-SMAD3 levels were upregulated in the siRICH1+TGF-β1 group.Conclusion RICH1 inhibits TGF-β1-induced myo-cardial fibrosis;RICH1 inhibits TGF-β1-induced myo-cardial fibrosis by negatively regulating the SMAD2/3 signaling pathway.
6.Effect of blood pressure outcome on the risk of arteriosclerosis in non-hypertensive individuals
Zhexuan KANG ; Qing XIA ; Shiwei KANG ; Zongshuang SONG ; Feiyang GENG ; Zhuoyuan DU ; Zhe HUANG ; Dandan ZHAO ; Yun LI
Chinese Journal of Cardiology 2025;53(7):806-812
Objective:To investigate the impact of blood pressure outcomes on the risk of arteriosclerosis in non-hypertensive populations.Methods:This study was a retrospective cohort study. All data were derived from Kailuan Cohort. Non-hypertensive individuals who completed two brachial-ankle pulse wave velocity (baPWV) measurements between January 2014 and December 2019 (using the first measurement as the baseline and the second as the follow-up) were enrolled, and clinical data such as blood pressure and baPWV were collected. According to the blood pressure level at baseline and follow-up, participants were divided into new-onset hypertension group (no hypertension at baseline but diagnosed at follow-up) and non-hypertension group (no hypertension at both baseline and follow-up). Multiple linear regression and multivariate logistic regression were used to analyze the impact of new-onset hypertension on arteriosclerosis progression. Subgroup analysis further classified participants into six blood pressure transition categories: normal-maintained, normal-to-high-normal, normal-to-hypertensive, high-normal-to-normal, high-normal-maintained, and high-normal-to-hypertensive groups. Multivariate logistic regression analysis was used to assess the impact of different blood pressure outcomes on arteriosclerosis progression.Results:A total of 7 049 participants were enrolled, with the age of (40.45±9.04) years, including 3 645 males (51.71%). There were 800 cases in the new-onset hypertension group and 6 249 individuals in the non-hypertension group. During follow-up, arteriosclerosis occurred in 2 154 cases (30.56%). Multivariable linear regression analysis revealed a positive correlation between new-onset hypertension and baPWV levels. The baPWV in the new-onset hypertension group was significantly higher by 63.94 cm/s compared to the non-hypertension group ( β=63.94, P<0.01). Additionally, the risk of arteriosclerosis in the new-onset hypertension group was 2.09 times that of the non-hypertension group ( OR=2.09, 95% CI: 1.77-2.46, P<0.01). Subgroup analysis revealed significantly higher arteriosclerosis risks in normal-to-high-normal ( OR=1.65, 95% CI 1.38-1.98, P<0.01), normal-to-hypertensive ( OR=2.47, 95% CI 1.70-3.59, P<0.01), high-normal-maintained ( OR=1.50, 95% CI 1.21-1.86, P<0.01), and high-normal-to-hypertensive groups ( OR=2.86, 95% CI 2.20-3.73, P<0.01) than normal-maintained group, except for a non-significant difference in high-normal-to-normal group ( OR=0.95, 95% CI 0.74-1.20, P>0.05). Conclusion:Blood pressure outcome in non-hypertensive populations is closely related to arteriosclerosis risk. Progression to or maintenance of high-normal blood pressure or higher levels substantially increases arteriosclerosis risk, while regression from high-normal to normal blood pressure shows no significant increase in arteriosclerosis risk.
7.National bloodstream infection bacterial resistance surveillance report 2023: Gram-positive bacteria
Chaoqun YING ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(2):118-132
Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute(CLSI). Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus( n=1 544,35.2%),coagulase-negative Staphylococci( n=1 441,32.9%), Enterococcus faecium( n=574,13.1%), Enterococcus faecalis( n=385,8.8%),and α-hemolytic Streptococci( n=187,4.3%). The prevalence of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)was 26.2%(405/1 544)and 69.8%(1 006/1 441),respectively. Notably,all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility(>97.0%)to cephalobiol,rifampicin,trimethoprim-sulfamethoxazole,linezolid,minocycline,tigecycline,and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium(resistance to vancomycin and teicoplanin:both 1.7%)compared to Enterococcus faecalis(both 0.3%). The detection rates of MRSA and MRCNS exhibited significant regional variations across the country( χ2=17.674 and 148.650,respectively,both P<0.001). No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA( χ2=14.111, P<0.001)and MRCNS( χ2=4.828, P=0.028)in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA( χ2=18.986, P<0.001)and MRCNS( χ2=4.477, P=0.034)in less developed regions(per capita GDP
8.National bloodstream infection bacterial resistance surveillance report (2023) : Gram-negative bacteria
Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(1):47-62
Objective:To report the results of bacterial resistant investigation collaborative system(BRICS)on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023,and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period,11 492 strains of Gram-negative bacteria were collected from 60 hospitals,of which 10 098(87.9%)were Enterobacterales and 1 394(12.1%)were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli(50.0%), Klebsiella pneumoniae(26.1%), Pseudomonas aeruginosa(5.1%), Acinetobacter baumannii complex(5.0%)and Enterobacter cloacae complex(4.1%). The ESBL-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus mirablilis were 46.8%(2 685/5 741),18.3%(549/2 999)and 44.0%(77/175),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(76/5 741)and 15.0%(450/2 999);32.9%(25/76)and 78.0%(351/450)of CREC and CRKP were sensitive to ceftazidime/avibactam combination,respectively. 94.7%(72/76)and 90.2%(406/450)of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore,57.9%(44/76)and 79.1%(356/450)were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 64.6%(370/573),while more than 80.0% of CRAB complex was sensitive to tigecycline,eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 17.0%(99/581). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China,with statistically significant differences in the prevalence of CREC,CRKP,CRPA and CRAB complex( χ2=10.6,28.6,10.8 and 19.3, P<0.05). The prevalence of ESBL-producing Escherichia coli, CREC,CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals( χ2=12.5,9.8,12.7 and 57.8,all P<0.01). Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China,and Escherichia coli is ranked in the top,while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend,CREC infecton maintains a low prevalence level,and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.
9.Development of transparent manikin and its application to surgical training on medical train
Ya-jun SONG ; Wen-gang HU ; Ming-hui YANG ; Sheng-qing LYU ; Chi-bing HUANG ; Ji-feng ZOU ; Yang LI ; Yun WANG ; Ji ZHENG
Chinese Medical Equipment Journal 2025;46(6):111-115
Objective To develop a novel type of transparent simulation manikin as a surgical training model to meet the surgical treatment demand on the medical train.Methods A transparent manikin was developed with the steps of basic data collection,motherboard design and manufacture and module production and assembly.Firstly,basic data collection was carried out with reference to standardized human anatomy and parameters.Secondly,some software such as UG NX7.5 was used to construct the motherboard of the manikin.Finally,module production and assembly were performed with the materials of acrylic,transparent rubber,silicone and hydrogel and the technology of silicone infusion.Results The transparent manikin developed had its anatomy structure close to that of the real body and high visuality for its internal and external components,which simulated a variety of war wounds and thus could be integrated with the surgical training scenarios on the medical train effectively.Conclusion The transparent manikin developed is characterized by high visuality,modularity and blood flow,and meets the demands for surgical training on the medical train.[Chinese Medical Equipment Journal,2025,46(6):111-115]
10.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.

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