1.Exploring Anti-inflammatory Synergistic Mechanism of Atractylodis Macrocephalae Rhizoma Processed with Aurantii Fructus Immaturus Juice Based on Differential Component Tracking Strategy
Hongda XUAN ; Shengnan SHEN ; Linlin LI ; Jingjing LIAO ; Xianyu XU ; Xiaoxia LIU ; Haining LYU ; Fang WANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(1):228-237
ObjectiveTaking Aurantii Fructus Immaturus juice(AFI)-processed Atractylodis Macrocephalae Rhizoma(AMR) as an example, this study aims to systematically compare the volatile and non-volatile components of AMR and its processed products, investigate the key differential components, evaluate their anti-inflammatory activities, and elucidate the synergistic mechanism of processing. MethodsThe chemical compositions of volatile and non-volatile components in AMR and AFI-processed AMR were systematically characterized using gas chromatography-mass spectrometry(GC-MS) and ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS), with relative mass fractions and response values determined separately. Volatile components were identified through searches in the National Institute of Standards and Technology(NIST)17 database, comparison with retention index(RI) and fragmentation pattern matching. Non-volatile components were identified by searching Waters Traditional Chinese Medicine (TCM) spectral library, in conjunction with PubChem and MassBank, characteristic fragmentation patterns and response values were also used to support identification. Differential components were screened using principal component analysis(PCA), orthogonal partial least squares-discriminant analysis(OPLS-DA), with variable importance in the projection(VIP) value >1. Components with high log2fold change(FC) among major differential groups were selected as those exhibiting significant changes before and after processing. The anti-inflammatory activity of the differential compounds was evaluated by assessing their effects on nitric oxide(NO) production in a lipopolysaccharide(LPS)-induced RAW264.7 macrophage model. Enzyme-linked immunosorbent assay(ELISA) was used to detect the effects of the differential components on tumor necrosis factor(TNF)-α, interleukin(IL)-1β, IL-6, and monocyte chemotactic protein(MCP)-1 levels, and immunofluorescence(IF) was employed to assess their effects on nuclear transcription factor(NF)-κB p65 translocation, thereby elucidating the underlying molecular mechanisms. ResultsA total of 36 compounds were identified in the volatile components of AMR and AFI-processed AMR, among which, sesquiterpenes and monoterpenes were significantly increased after processing. In the non-volatile components, 36 compounds were identified, and the main differential components were flavonoids, sesquiterpenoids, and triterpenoids. Flavonoids were the primary differential components distinguishing AMR from its processed products, representing compounds directly introduced during processing. Five compounds, including atractylenolide Ⅲ, tangeritin, nobiletin, hesperidin and narirutin, were selected as representatives of three classes based on their most prominent differential expression among different compound types for subsequent anti-inflammatory activity studies. The results showed that 100 μmol·L-1 tangerine and narirutin could significantly inhibit LPS-induced NO production(P<0.01) in a concentration-dependent manner. Tangeritin was able to significantly inhibit the levels of TNF-α and MCP-1 secreted by RAW264.7(P<0.05), while narirutin significantly inhibited the levels of TNF-α, IL-1β, MCP-1 and IL-6(P<0.01). IF revealed that both tangeritin and narirutin significantly blocked the translocation of NF-κB p65 from the cytoplasm to the nucleus. ConclusionAFI-processed AMR significantly alters the chemical composition profile of AMR, and the newly introduced flavonoid components during processing may be key to its enhanced anti-inflammatory effects.
2.Prognostic Utility of the Albumin-to-Alkaline Phosphatase Ratio in Head and Neck Cancer: A Systematic Review and Meta-Analysis
Yun-Ting WANG ; Adarsh KUDVA ; Yen-Ting LU ; Liang-Tseng KUO ; Chia-Hsuan LAI ; Yuan-Hsiung TSAI ; Chun-Ta LIAO ; Ku-Hao FANG ; Chung-Jan KANG ; Ethan I. HUANG ; Cheng-Ming HSU ; Geng-He CHANG ; Ming-Shao TSAI ; Yao-Te TSAI
Clinical and Experimental Otorhinolaryngology 2026;19(1):45-54
Objectives:
. The prognostic value of the pretreatment albumin-to-alkaline phosphatase ratio (AAPR) in head and neck cancer (HNC) remains uncertain. This meta-analysis aimed to evaluate the predictive role of AAPR for survival outcomes in patients with HNC.
Methods:
. A comprehensive search of the Cochrane Library, PubMed, and Embase databases was conducted to identify relevant studies published up to July 30, 2024. We included studies on AAPR and survival outcomes in HNC patients.
Results:
. Eight studies comprising 1,737 HNC patients were analyzed using random-effects models. Lower AAPR values were significantly correlated with worse overall survival (hazard ratio [HR], 2.08), progression-free survival (HR, 2.00), and disease-free survival (HR, 2.18). Sensitivity analyses confirmed the robustness of these results, with no significant publication bias detected.
Conclusion
. Our findings suggest that pretreatment AAPR could serve as a valuable and cost-effective prognostic indicator in HNC, potentially aiding clinicians in risk stratification and treatment decision-making. However, additional validation studies are warranted to confirm its clinical applicability.
3.Prognostic value of tissue plasminogen activator-inhibitor complexes in patients with sepsis associated thrombocytopenia
Fang WANG ; Hao LIAO ; Tian XU ; Jingchun SONG
Chinese Journal of Clinical Laboratory Science 2025;43(11):824-829
Objective To investigate the prognostic value of tissue plasminogen activator-inhibitor complex(tPAIC)for mortality in patients with sepsis associated thrombocytopenia(SAT).Methods A retrospective analysis was conducted on the clinical data of 74 patients with SAT admitted to the Intensive Care Unit of the 908th Hospital of the Joint Logistics Support Force of PLA between Septem-ber 2017 and December 2021.Based on 28-day follow-up for outcomes,the patients were divided into survival group(43 cases)and death group(31 cases).The Boruta algorithm based on random forest and Lasso regression algorithm were used to screen the risk fac-tors from a total of 29 candidate variables,including age,sex,SOFA score on admission,APACHE Ⅱ score,and various hematological indexes,(e.g.,white blood cell count).The time-dependent receiver operating characteristic(ROC)curves and the survival analysis were performed for the key variables identified.Results Compared with the survival group,the nonsurvivors in death group had signif-icantly higher SOFA and APACHE Ⅱ scores.The levels of thrombomodulin(TM),thrombin-antithrombin complex(TAT),and tissue plasminogen activator inhibitor complex(tPAIC)were also markedly elevated in death group(P<0.05).Similarly,PT,APTT,TT,FDP,and D-dimer in the death group were significantly higher than those in survivalroup,whereas the fibrinogen levels were signifi-cantly decreased(P<0.05).The levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),total bilirubin(T-Bil),and lactate(Lac)levels were likewise significantly elevated in the death group.Random forest and Lasso regression analysis identified SOFA score,tPAIC,INR,and Lac as the independent risk factors of mortality in the patients with sepsis-associated thrombo-cytopenia(SAT)patients.Time-dependent ROC curve analysis showed that a higher C-index and average area under the curve(AUC)in tPAIC than any other variables for predicting the prognosis of SAT patients.Kaplan-Meier survival analysis stratified by the optimal cutoff value of tPAIC(38.9 ng/mL)revealed that a 2.31-fold higher 28-day survival rate in the patients with tPAIC<38.9 ng/mL group compared those with tPAIC ≥38.9 ng/mL.Conclusion tPAIC demonstrates significant predictive value for mortality in SAT patients.
4.Research on Nursing Echelon Training and Nursing Education Resources Optimization Path in Secondary Hospitals
Fang BAI ; Miao LI ; Jun LI ; Defei ZENG ; Meijuan ZHU ; Ping ZHANG ; Yuyun WANG ; Huan LIAO ; Chunping LIU
Chinese Hospital Management 2025;45(6):77-80
Objective Focusing on the problems of unbalanced nursing education resources and insufficient training,it discusses the path of nursing echelon training and nursing education resources optimization in secondary hospitals.Methods Based on nursing questionnaire,interview data and platform logs from 4 secondary hospitals in Hainan Province,Latent Dirichlet Allocation topic modeling,sentiment analysis and Social Network Analysis were used.Identify the core problems of educational resources and training system and propose optimization schemes.Results Topic modeling revealed that insufficient educational resources and information silos were major obstacles to shared platform development.Similarity analysis result showed high consistency in feedback regarding disconnected training content and single training models.Sentiment analysis result indicated that 50%of negative feedback focused on inadequate evaluation and incentive mechanisms.Social Network Analysis validated the significant role of multi-node collaboration in optimizing resource flows.Conclusion Building shared platforms,implementing differentiated training systems,and developing localized nursing faculty are critical pathways to achieving homogenized nursing education,providing valuable references for optimizing regional nursing education.
5.Effects of Xuesaitong Capsules(Panax notoginseng saponins)on ischemia/reperfusion injury in a mouse model of skin frostbite
Cheng QIN ; Xiang-yi KONG ; Chen-xi LIAO ; Run-li LI ; Fang WANG ; Xue-song YANG ; Jian-zhou YE
Chinese Traditional Patent Medicine 2025;47(2):430-437
AIM To investigate the effects of Xuesaitong Capsules(Panax notoginseng saponins)on ischemia/reperfusion injury in a mouse model of skin frostbite.METHODS The mice were randomly divided into the control group,the model group,the dexamethasone group(1 mg/kg),and the low-dose,medium-dose,and high-dose Xuesaitong Capsules groups(0.036,0.072,and 0.144 g/kg),with eight mice in each group.A frostbite model was established using a dry ice-cooled ceramic(ferrite)magnet.On the 2nd day after modeling,each group started its corresponding dosing by gavage for 14 consecutive days.The wound healing,histopathological changes,and serum levels of high-sensitivity C-reactive protein(hs-CRP),thromboxane B2(TXB2),6-keto-prostaglandin F1α(6-K-PGF1α),nitric oxide(NO)and endothelin(ET)were assessed using ELISA.The superoxide dismutase(SOD)activity and malondialdehyde(MDA)levels in skin tissues were measured biochemically.The protein expressions of tumor necrosis factor(TNF)-α,interleukin(IL)-1β,IL-6,Toll-like receptor(TLR)4 and phosphorylated nuclear factor-KB p65(p-NF-κB p65)in skin tissues were determined by Western blot.Additionally,LncRNA H19 mRNA expression in skin tissues was evaluated using RT-qPCR.RESULTS After the final administration,compared with the control group,the model group exhibited partial scab detachment,wound healing,and larger wound areas;hyperkeratosis with incomplete keratinization,detachment of the dermis and subcutaneous tissue,partial loss of appendages,subcutaneous edema,and dilated,congested,and hemorrhagic stromal vessels with extensive lymphocyte infiltration revealed by the histopathological examination;elevated serum levels of hs-CRP,TXB2,and ET(P<0.05,P<0.01);decreased 6-K-PGF1α and NO levels(P<0.05,P<0.01);reduced SOD activity in skin tissues(P<0.01);increased MDA levels(P<0.01);and upregulated protein expressions of TNF-α,IL-1β,IL-6,TLR4 and p-NF-κB p65,as well as LncRNA H19 mRNA expression(P<0.05,P<0.01).Compared with the model group,the group intervened with high-dose Xuesaitong Capsules displayed reduced wound areas(P<0.01);decreased serum levels of hs-CRP,TXB2 and ET(P<0.05,P<0.01);increased 6-K-PGF1α and NO levels(P<0.05,P<0.01);enhanced SOD activity(P<0.05,P<0.01);reduced MDA level in skin tissues(P<0.05,P<0.01);and down-regulated TNF-α,IL-1β,IL-6,TLR4 and p-NF-κB p65 protein expressions and suppressed LncRNA H19 mRNA expression in skin tissues as well(P<0.05,P<0.01).CONCLUSION Xuesaitong Capsules alleviate ischemia/reperfusion injury in frostbite-injured mice by exerting anti-inflammatory and anti oxidative stress effects and restoring vascular endothelial function mediated by the downregulation of LncRNA H19 expression and inhibition of the TLR4/NF-κB signaling pathway.
6.Research on Nursing Echelon Training and Nursing Education Resources Optimization Path in Secondary Hospitals
Fang BAI ; Miao LI ; Jun LI ; Defei ZENG ; Meijuan ZHU ; Ping ZHANG ; Yuyun WANG ; Huan LIAO ; Chunping LIU
Chinese Hospital Management 2025;45(6):77-80
Objective Focusing on the problems of unbalanced nursing education resources and insufficient training,it discusses the path of nursing echelon training and nursing education resources optimization in secondary hospitals.Methods Based on nursing questionnaire,interview data and platform logs from 4 secondary hospitals in Hainan Province,Latent Dirichlet Allocation topic modeling,sentiment analysis and Social Network Analysis were used.Identify the core problems of educational resources and training system and propose optimization schemes.Results Topic modeling revealed that insufficient educational resources and information silos were major obstacles to shared platform development.Similarity analysis result showed high consistency in feedback regarding disconnected training content and single training models.Sentiment analysis result indicated that 50%of negative feedback focused on inadequate evaluation and incentive mechanisms.Social Network Analysis validated the significant role of multi-node collaboration in optimizing resource flows.Conclusion Building shared platforms,implementing differentiated training systems,and developing localized nursing faculty are critical pathways to achieving homogenized nursing education,providing valuable references for optimizing regional nursing education.
7.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
8.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; 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(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
9.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
10.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; 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(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

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