1.Consistent Detection of Aquaporin-4 Antibodies:A Comparative Analysis Between Fixed and Live Cell-Based Assays
Jing WANG ; Linge WANG ; Xiaolin YANG ; Zhizhong LI ; Jinyu JIANG ; Qiao XU ; Siyuan HUANG ; Qing FU ; Yang YANG ; Rongrong ZHANG ; Lin YANG ; Ai CHEN ; Xiaopeng ZENG ; Ke XU ; Peng ZHENG ; Xinyue QIN ; Jinzhou FENG
Journal of Clinical Neurology 2026;22(2):212-220
Background:
and Purpose Live cell-based assays (LCBA) are increasingly used for serological antibody detection due to their ability to preserve antigen conformation, offering moderately higher sensitivity than fixed cell-based assays. However, the clinical necessity of prioritizing LCBA for the detection of aquaporin-4 immunoglobulin G (AQP4-IgG) in neuromyelitis optica spectrum disorder (NMOSD) remains unclear, especially when compared to its established role in diagnosing myelin oligodendrocyte glycoprotein antibody-associated disease.
Methods:
We compared the performance of live cell-based assays using immunofluorescence (LCBA-IF) and fixed cell-based assays using immunofluorescence (FCBA-IF) in detecting AQP4-IgG in 90 cases of NMOSD meeting 2015 International Panel for Neuromyelitis Optica Diagnosis criteria, alongside 40 controls. Additionally, we further investigated the relationship between AQP4-IgG titers as measured by LCBA-IF and FCBA-IF and clinical parameters in NMOSD patients.
Results:
Results showed 96.9% agreement between LCBA-IF and FCBA-IF (Cohen’s κ=0.935), with a strong Spearman correlation (0.977, p<0.001). Both methods demonstrated 100% specificity, with LCBA-IF showing slightly higher sensitivity compared to FCBA-IF. Within LCBAIF-tested groups, statistically significant differences in annualized relapse rates were observed across all pairwise comparisons (low-titer vs. moderate-titer, low-titer vs. high-titer, and moderate-titer vs. high-titer; all p<0.050). However, this association reached statistical significance in some FCBA-IF-tested groups.
Conclusions
Overall, there is a strong concordance between LCBA-IF and FCBA-IF in detecting AQP4-IgG, where LCBA-IF shows slightly higher sensitivity. Furthermore, there is a potential link between elevated AQP4-IgG titers and an increased risk of relapse, and this correlation may appear more pronounced when using LCBA-IF.
2.Analysis of Differential Metabolites of Pinelliae Rhizoma at Different Browning Stages Based on Widely Targeted Metabolomics
Jing TAO ; Honghong LIANG ; Ruoshi LI ; Zhouli XU ; Minzhao LI ; Aien TAO ; Guihua JIANG ; Li AI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(4):191-199
ObjectiveTo investigate differential metabolites associated with browning in the post-harvest processing of Pinelliae Rhizoma, providing data support for elucidating the key metabolites and metabolic pathways involved in browning, and developing safe and efficient sulfur-free processing techniques. MethodsUltra-performance liquid chromatography-triple quadrupole/linear ion trap mass spectrometry(UPLC-QTRAP-MS/MS) was used to detect the metabolites of Pinelliae Rhizoma at different browning stages(0, 8, 16 h) for widely targeted metabolomics. Subsequently, Multivariate statistical analysis of metabolites was conducted using principal component analysis(PCA), hierarchical cluster analysis(HCA), orthogonal partial least squares-discriminant analysis(OPLS-DA), and K-means cluster analysis. Differential metabolites at different browning stages were screened based on variable importance in the projection(VIP) value>1 and |log2fold change(FC)|≥1, and metabolic pathway enrichment analysis was performed using Kyoto Encyclopedia of Genes and Genomes(KEGG). ResultsA total of 1 416 metabolites were identified across the three browning stages of Pinelliae Rhizoma, predominantly comprising amino acids and their derivatives(239), lipids(219), alkaloids(156), phenolic acids(121), terpenoids(113), and flavonoids(111). A two-by-two comparison of the three browning phases, yielded 622 differential metabolites that were significantly enriched in the phenylpropanoid biosynthesis, flavone and flavonol biosynthesis, and purine metabolic pathway. Further analysis revealed that carbohydrates such as D-mannose and turanose, phenolic acids such as 1-O-caffeoyl-6-O-glucosyl-β-D-glucose, dicaffeoylshikimic acid, and flavonoids such as epigallocatechin gallate, vitexin-7-O-rutinoside, luteolin-7-O-(6″-malonyl)glucoside-5-O-arabinoside, catechin gallate, epicatechin gallate, isovitexin-7-O-glucoside-2″-O-rhamnoside, apigenin-7-O-rutinoside-4ʹ-O-sophoroside, 3,5,3ʹ,4ʹ,5ʹ-penta-hydroxyflavan-7-gallate may act as browning substrates and play important roles in the browning process. ConclusionCarbohydrates, phenolic acids, and flavonoids may serve as key substrates in the browning process of Pinelliae Rhizoma, involving pathways such as phenylpropanoid biosynthesis, flavone and flavonol biosynthesis, and purine metabolism, which can provide a theoretical basis for further exploration of the browning mechanism.
3.Risk factors of thyroid nodules in patients with type 2 diabetes
Chong WANG ; Lanxin KONG ; Shuzhen WANG ; Xiumin ZHANG ; Junqi MA ; Jing KANG ; Qing LI ; Lihua JIANG ; Zheng SHEN ; Li AI
Chinese Journal of Endemiology 2025;44(10):851-853
Objective:To study the risk factors of thyroid nodules in patients with type 2 diabetes.Methods:Data of patients with type 2 diabetes with normal thyroid function admitted to the Department of Endocrinology of Heze Municipal Hospital from January to June 2024 were collected. Binary logistic regression was used to analyze the influencing factors of thyroid nodules in patients with type 2 diabetes, and the receiver operating characteristic curve (ROC curve) was used to evaluate the diagnostic efficacy of each influencing factor.Results:Among 162 patients with type 2 diabetes, 96 had thyroid nodules, accounting for 59.3%. The incidence of thyroid nodules in women was significantly higher than that in men (χ 2 = 4.56, P = 0.034). Multivariate logistic regression analysis showed that age (≥50 years old), overweight and obesity [body mass index (BMI)≥24.0 kg/m 2], high glycated hemoglobin (≥10%), and high total cholesterol ( > 6.5 mmol/L) were independent risk factors for thyroid nodules in patients with type 2 diabetes ( OR = 1.83, 1.67, 1.08, 3.65, P < 0.05), and men was an independent protective factor ( OR = 0.63, P = 0.039). The ROC curve results showed that total cholesterol and total cholesterol combined with glycated hemoglobin could distinguish patients with thyroid nodules from those without thyroid nodules, with AUC = 0.64 and 0.68, respectively, and the differences were statistically significant ( P < 0.05). Conclusions:The incidence of thyroid nodules in patients with type 2 diabetes is relatively high. Age, overweight and obesity, high glycated hemoglobin, and high total cholesterol are independent risk factors for thyroid nodules in patients with type 2 diabetes, and total cholesterol has the ability to distinguish patients with thyroid nodules.
4.Progress in animal models of radiation-induced heart disease
Jiakun LIU ; Hugang JIANG ; Ai LIU ; Xiaying WANG ; Jing MA ; Yangyang SHI ; Xinke ZHAO ; Yingdong LI
Acta Laboratorium Animalis Scientia Sinica 2025;33(8):1178-1197
Radiation-induced heart disease(RIHD)is a severe complication in patients with thoracic cancer undergoing radiotherapy,with important impacts on long-term survival among cancer survivors.There is an urgent need to investigate the pathogenesis of RIHD and to develop effective therapeutic agents,and the establishment of high-quality RIHD animal models is pivotal to addressing these issues.This review summarizes the critical factors to consider in establishing RIHD animal models,including species selection,radiation type,dosage,fractionation,and target fields,and modeling timeline,along with the evaluation method and success criteria.We also consider the potential pathogenic mechanisms underlying RIHD,including DNA damage,oxidative stress,inflammatory responses,mitochondrial dysfunction,renin-angiotensin-aldosterone system activation,and myocardial fibrosis,as well as their interrelationships.These insights provide a comprehensive reference framework for constructing RIHD animal models and advancing mechanistic investigations into this condition.
5.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.
6.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.
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.Design and Validation of Scoliosis Orthosis Based on Finite Element Model
Jiaxiang LIN ; Yi CHEN ; Guanglin SHI ; Wenfeng WANG ; Kunwu LAN ; Wenjun JIANG ; Zipeng AI ; Weijie PENG
Journal of Medical Biomechanics 2025;40(4):988-995
Objective Based on the finite element simulation analysis of the patient's torso-spine model and combined with theoretical calculation data,an individualized scoliosis orthosis was designed,and the effectiveness of the orthosis was verified through three-dimensional(3D)printing.Methods A patient with idiopathic scoliosis was chosen as the research object.Reverse engineering technology and computer-aided technology were used to establish the torso-spine model of the patient.The finite element method was used to analyze the model,and the optimal position and magnitude of the corrective force were determined by combining literature theory calculation.Based on this,an orthosis was designed.To verify the orthopedic effect,the patient's X-rays before and after wearing the orthosis were compared and evaluated,and the patient was followed up 6 months later.Results The optimal position and magnitude of the initial corrective force were determined through theoretical calculations and finite element simulations.Specifically,a 62.95 N corrective force applied to the L3 vertebral body and the left posterior region corresponding to the upper and lower intervertebral discs in the patient's lateral curvature segment of the spine to achieve the optimal orthopedic effect.On this basis,the orthosis was designed,followed by relevant experimental tests before and after wearing the designed orthosis.By comparing X-ray images of the patient before and after wearing the orthosis and combining them with follow-up data six months later,the optimized design of the orthosis met the expected clinical requirements for orthopedic effects.Conclusions The design of orthosis needs to be personalized according to the specific situation of patients with scoliosis.This study takes a patient with idiopathic scoliosis as the research object,providing new ideas and methods for the design of orthosis for patients with idiopathic scoliosis.
10.Design and Validation of Scoliosis Orthosis Based on Finite Element Model
Jiaxiang LIN ; Yi CHEN ; Guanglin SHI ; Wenfeng WANG ; Kunwu LAN ; Wenjun JIANG ; Zipeng AI ; Weijie PENG
Journal of Medical Biomechanics 2025;40(4):988-995
Objective Based on the finite element simulation analysis of the patient's torso-spine model and combined with theoretical calculation data,an individualized scoliosis orthosis was designed,and the effectiveness of the orthosis was verified through three-dimensional(3D)printing.Methods A patient with idiopathic scoliosis was chosen as the research object.Reverse engineering technology and computer-aided technology were used to establish the torso-spine model of the patient.The finite element method was used to analyze the model,and the optimal position and magnitude of the corrective force were determined by combining literature theory calculation.Based on this,an orthosis was designed.To verify the orthopedic effect,the patient's X-rays before and after wearing the orthosis were compared and evaluated,and the patient was followed up 6 months later.Results The optimal position and magnitude of the initial corrective force were determined through theoretical calculations and finite element simulations.Specifically,a 62.95 N corrective force applied to the L3 vertebral body and the left posterior region corresponding to the upper and lower intervertebral discs in the patient's lateral curvature segment of the spine to achieve the optimal orthopedic effect.On this basis,the orthosis was designed,followed by relevant experimental tests before and after wearing the designed orthosis.By comparing X-ray images of the patient before and after wearing the orthosis and combining them with follow-up data six months later,the optimized design of the orthosis met the expected clinical requirements for orthopedic effects.Conclusions The design of orthosis needs to be personalized according to the specific situation of patients with scoliosis.This study takes a patient with idiopathic scoliosis as the research object,providing new ideas and methods for the design of orthosis for patients with idiopathic scoliosis.

Result Analysis
Print
Save
E-mail