1.Construction of a risk prediction model for failure of proximal femoral nail antirotation fixation in intertrochanteric fractures
Zesong TU ; Daxing XU ; Hongbin LUO ; Yusheng WANG ; Xinglun FENG ; Zhonghua PENG ; Shaolong DU
Chinese Journal of Tissue Engineering Research 2025;29(27):5845-5853
BACKGROUND:Intertrochanteric femoral fractures are the main type of fragility fracture in the elderly,and proximal femoral nail antirotation is the preferred surgical option,but the factors associated with postoperative internal fixation failure are controversial.OBJECTIVE:A new"three-column"classification of intertrochanteric femoral fractures was proposed by evaluating patients'imaging data preoperatively and analyzing its interaction with postoperative internal fixation failure.A risk prediction model was developed and validated by using numerical algorithms,which facilitates clinicians to identify and intervene in high-risk patients preoperatively.METHODS:Patients with intertrochanteric femur fractures in Sanshui Branch of Foshan Hospital of Traditional Chinese Medicine between June 2012 and June 2022 were selected.The patients were divided into the internal fixation failure group and the internal fixation maintenance group according to whether they had internal fixation failure after surgery.According to the preoperative radiographs,the proximal femur was divided into three columns:the medial column,the lateral column,and the middle column.Each column had different subgroups.The relationship between the morphological characteristics of the"three columns"and the failure of proximal femoral nail antirotation internal fixation was analyzed,and the independent risk factors for internal fixation failure were screened out by single and then multifactorial logistic regression analyses.A risk prediction model was constructed according to the independent risk factors using R language software.The Bootstrap method was used to resample 1 000 times.The area under the curve,calibration curve,and clinical decision curve were used to evaluate the differentiation,calibration ability,and clinical application value of the model.The Youden index was used to determine the optimal risk cut-off value of the prediction model,according to which the patients were divided into high and low risk groups.The stability and extensibility of the model were evaluated according to the accuracy of its risk prediction ability.RESULTS AND CONCLUSION:(1)The four independent risk factors for postoperative internal fixation failure after surgery were predicted using the"three-column"typing system:medial column(comminuted fracture of the lesser trochanter and femoral talar)[odds ratio=5.385,95%CI(1.961,14.782),P=0.001],medial column(chimney type)[odds ratio=2.893,95%CI(1.167,7.173),P=0.022],lateral column(lateral wall thickness<20.5 mm)[odds ratio=2.804,95%CI(1.078,7.297),P=0.035]and lateral column(lateral wall fracture)[odds ratio=4.278,95%CI(1.670,10.959),P=0.012].(2)The constructed risk prediction model showed good discrimination and accuracy[area under the receiver operating characteristic curve=0.852,95%CI(0.837,0.922)].The calibration curve showed good agreement between the model-predicted risk and the actual risk of occurrence.(3)The clinical decision curve suggested that the model had good clinical applicability when the risk threshold probability was in the range of 0.2-0.82.The risk probability of 28%was the optimal threshold for risk stratification of the model,and the predictive performance of the model was better in patients with different risk groups.(4)The"three-column"typing system constructs a predictive model to calculate the risk probability of postoperative internal fixation failure in patients with intertrochanteric femoral fractures.This method is accurate,simple,and easy to apply clinically,and can be used as a digital tool to guide personalized clinical treatment.
2.Effects of Knee Osteoarthritis with Varus Deformity on Ankle Cartilage Degeneration:A Mouse Model Study
Fanlei YANG ; Wei FENG ; Yan DU ; Wenbin CAI ; Zongping LUO ; Zhi CHEN ; Hao XU ; Jia YU
Journal of Medical Biomechanics 2025;40(1):106-112
Objective To establish two osteoarthritis models of destabilization of the medial meniscus(DMM)and chronic ankle instability(CAI)in mice,and compare the effects of knee osteoarthritis with varus deformity on ipsilateral ankle cartilage degeneration.Methods Thirty 6-week-old C57BL/6J male mice were randomly divided into a control group and two surgical groups(DMM group and CAI group),respectively.The progression of ankle joint degeneration was quantitatively evaluated through behavioral observation,imaging techniques and histopathology analysis in each group of mice over a 12-week period.Results A decline in gait stability and balance was observed in two surgical groups.Compared to the control group,the time required to cross the balance beam was increased by 23.20%,and the number of slips was increased by 43.26%at 12th week postoperatively in the DMM group.The bone volume fraction and bone mineral density of ankle joints also increased.Meanwhile,wear and tear of the ankle cartilage were found,with the formation of osteophytes,and OARSI score was increased by 88.89%.These changes in ankle joint were more pronounced in the CAI group.Conclusions This mouse model-based study revealed a coupling relationship between the knee and ankle motion.Knee osteoarthritis with varus deformity could lead to a significant ankle joint degeneration,while the damage was less severe than that observed in CAI.
3.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.
4.Clinical study of intracranial hypotension targeted body posture combined with pharmacotherapy in the treatment of chronic subdural hematoma
Jiayu CHEN ; Zhe WANG ; Di ZANG ; Ruizhe ZHENG ; Xiangru YE ; Zengxin QI ; Zeyu XU ; Zhiqiang LI ; Chengfeng SUN ; Liangjun SHEN ; Luoping SHENG ; Fulin XU ; Ruyong YE ; Kaiyu ZHOU ; Weijun TANG ; Yueqing HU ; Dapeng SHI ; Yuquan WANG ; Xizhen WU ; Ying WANG ; Qilin ZHANG ; Feili LIU ; Guo YU ; Yiping LU ; Yirui SUN ; Ning ZHANG ; Feng HUANG ; Xialong GU ; Han ZHANG ; Jian DING ; Yongyan BI ; Haolan DU ; Jing ZHANG ; Hailong JI ; Ding DING ; Wei ZHANG ; Xuehai WU
Chinese Journal of Surgery 2025;63(3):212-218
Objective:To compare the efficacy of body posture combined with pharmacotherapy and pharmacotherapy alone in the treatment of chronic subdural hematoma(CSDH).Methods:Firstly, retrospective case series study was conducted. Thirty cases of CSDH that had received body posture combined with pharmacotherapy at Department of Neurosurgery, Huashan Hospital Affiliated to Fudan University from December 2016 to October 2020 were studied retrospectively. Twenty-seven patients were male, and 3 patients were female. The age of patients ( M(IQR)) was 66(16) years (range:28 to 84). Nineteen patients had unilateral hematoma, and 11 patients had bilateral hematoma. All patients received pharmacotherapy and body posture therapy that was to raise their lower limbs 20 to 30 cm with leg lift pad and get abdominal compressed with customized abdominal belt in supine position. Patients were required to maintain the body posture as much as possible, with the maximum to 16 to 18 hours per day. Patients with unilateral hematoma should tilt the head to the affected side and avoid tilting it to the opposite side. For patients with bilateral hematoma, there was no need for head lateralization. Patient were treated with oral dexamethasone and atorvastatin simultaneously. The preliminary efficacy of body posture combined with pharmacotherapy was determined by hematoma improvement rate which was analyzed by Clopper-Pearson method. Then, the multi-center, prospective, randomized controlled trial had carried out in 9 medical centers from August 2020 to November 2021. The stratified block randomization method was adopted. Patients were randomized in a ratio of 1∶1 to either receive pharmacotherapy alone(the control group) or body posture combined with pharmacotherapy(the experiment group) for 3 months and followed up for 6 months. Effective treatment was defined as complete absorption of hematoma, or the hematoma volume decreased by more than 10 ml and Markwalder grading scale score had improved by more than 1 point compared to the baseline. The efficacy rate and surgery conversion rate at 3 months and recurrence at 6 months were observed. Comparison between groups was performed with paired sample t test, Mann-Whitney U test, χ2 test, corrected χ2 test, or Fisher exact probability method. Logistic regression was used to compare the effective rate and operation rate between the two groups. Results:In the respective study, 30 patients completed follow-up 13 to 353 days after treatment. At the last follow-up, the incidence of almost complete absorption or significantly absorption of hematoma (hematoma volume was significantly reduced accompanied by symptom improvement) was 93.3%. The 95% CI for the incidence that analyzed by the Clopper-Pearson method was 77.9% to 99.2%. One hundred and six patients were enrolled in the multicenter study. Fifty-five patients underwent body posture combined with pharmacotherapy. The age was 74(17) years (range:26 to 92). Thirty-nine patients were males and 16 were females. Fifty-one patients underwent pharmacotherapy alone. The age was 69(12) years (range:48 to 84). Thirty-seven patients were males and 14 were females. The length of body posture recorded in diary card was (15.7±2.3) hours(range:7.6 to 19.3 hours). The efficacy rate in the body posture combined with pharmacotherapy group and pharmacotherapy alone group were 83.6% (46/55) and 56.9% (29/51), respectively at 3 months. The result of the logistic regression analysis showed that the efficacy of body posture combined with pharmacotherapy group was better than that of pharmacotherapy alone group ( OR=3.88,95% CI:1.57 to 9.58, P=0.003). Surgery rate in the body posture combined with pharmacotherapy group and pharmacotherapy alone group were 5.5% (3/55) and 21.6% (11/51) respectively. The result of Logistic regression showed that the pharmacotherapy alone group was more likely to be converted to surgery ( OR=0.21,95% CI:0.05 to 0.80, P=0.023). At the 6 months, no recurrence of cases was found in the body posture combined with pharmacotherapy group. However, the recurrence rate of pharmacotherapy alone group was 6.3% (3/48), there was no significant difference between the two groups ( P>0.05). Conclusion:The effect of body posture combined with pharmacotherapy for chronic subdural hematoma is better than that of pharmacotherapy alone.
5.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.
6.Identification algorithm of disease severity in patients with acute respiratory distress syndrome based on ensemble learning
Peng-cheng YANG ; Xin SHAO ; Chun-chen WANG ; Kun BAO ; Yang ZHANG ; Shi-chen DU ; Hai-feng XU
Chinese Medical Equipment Journal 2025;46(2):1-9
Objective To propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15%,89.23%,88.34%and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]
7.Plantamajoside inhibits proliferation and invasion of human gastric cancer cell line BGC823
Honglei DU ; Feng ZHANG ; Haiyan GUO ; Ning XU ; Zhen WU
Basic & Clinical Medicine 2025;45(10):1333-1340
Objective To explore the effects of plantamajoside on the proliferation and invasion of human gastric cancer cell line BGC823.Methods BGC823 cells were randomly separated into a control group,a plantamajoside group,an AAV-NC(transfection of empty plasmids packaged with lentivirus)group and a plantamajoside+AAV-HIF-1α(transfection of HIF-1α overexpression plasmid packaged with lentivirus)group.Cell proliferation,inva-sion,apoptosis,the numbers of vascular mimicry(VM)lumens and vascular branches,the expression of prolifera-tion,apoptosis,epithelial mesenchymal transition(EMT)related proteins,HIF-1α/VEGF pathway proteins of cells were all examined.Results Compared with control group,the BGC823 cell viability,colony formation num-ber,invasion number,VM lumen number,vascular branch number,and expression of Ki-67,PCNA,vimentin,MMP9,Snail,VEGFA,VE-cadhering,HIF-1α and VEGF protein were all lower in plantamajoside group(P<0.05).The apoptosis rate,the cleaved Caspase-3,Bax,and E-cadherin protein expression were significantly increased(P<0.05).Compared with plantamajoside group,the BGC823 cell viability,colony formation number,invasion number,VM lumen number,vascular branch number,and expression of Ki-67,PCNA,vimentin,MMP9,Snail,VEGFA,VE-cadherin,HIF-1α and VEGF protein were higher in the plantamajoside+AAV-HIF-1α group(P<0.05).The apoptosis rate,the cleaved caspase-3,Bax,and E-cadherin protein expression were lower(P<0.05).Conclusions Plantamajoside inhibits proliferation,EMT,invasion,and VM of human gastric cancer cell line and induce its apoptosis.
8.Risk factor analysis and nomogram prediction model construction for pneumonia complicating infectious mononucleosis in adults
Fei HU ; Mei-Juan PENG ; Xu-Yang ZHENG ; Rui LI ; Jia-Yi ZHAN ; Hai-Feng HU ; Hong-Kai XU ; Deng-Hui YU ; Hong DU ; Jian-Qi LIAN
Medical Journal of Chinese People's Liberation Army 2025;50(11):1359-1365
Objective To investigate the risk factors for pneumonia complicating infectious mononucleosis(IM)in adults and construct a nomogram prediction model.Methods A retrospective analysis was conducted on 198 IM patients admitted to the Second Affiliated Hospital of Air Force Medical University from January 2015 to December 2021.Patients were divided into pneumonia group(n=52)and non-pneumonia group(n=146)based on whether pulmonary infection occurred during hospitalization.The baseline data(age,gender,place of onset,etc.),clinical manifestations(maximum body temperature,lymph node enlargement,splenomegaly,etc.),and inflammatory indicators[white blood cell count(WBC),C-reactive protein(CRP),etc.]were compared between the two groups.Kaplan-Meier curves were plotted to analyze the key indicators affecting the hospital stay of IM patients.Multivariate logistic regression was used to analyze the independent risk factors for pneumonia complicating IM in adults and construct a nomogram prediction model based on the identified risk factors.The predictive efficacy of the model was evaluated using the receiver operating characteristic(ROC)curve and the consistency of the model was assessed using the calibration curve.The fit of the model was evaluated using the Hosmer-Lemeshow test.Additionally,the sensitivity,specificity,and accuracy of the model were assessed using confusion matrix.Results Compared with non-pneumonia group,the pneumonia group had a significantly higher proportion of patients from rural areas,with body mass index(BMI)≥24 kg/m2,smoking history,hepatomegaly,fever duration of≥7 d,as well as increased total hospitalization costs and average daily hospitalization costs,and prolonged hospital stay(P<0.05).The proportion of patients with a history of antibiotic use was lower in the pneumonia group(P<0.05).Kaplan-Meier survival analysis showed that patients from rural areas,with BMI≥24 kg/m2,smoking history,no prophylactic use of antibiotics,fever duration≥7 d,and hepatomegaly had significantly prolonged hospital stays(P<0.05).Multivariate logistic regression analysis revealed that living in a rural area(OR=4.089,P<0.05),hepatomegaly(OR=4.082,P<0.05),and elevated WBC(OR=1.205,P<0.05)were independent risk factors for pneumonia complicating IM in adults,while the prophylactic use of antibiotics(OR=0.142,P<0.05)was an independent protective factor.The area under the ROC curve of the constructed nomogram prediction model was 0.827(95%CI 0.762-0.892),and the slope of the calibration curve was close to 1,and the Hosmer-Lemeshow test showed χ2=5.299,P=0.725,indicating good consistency and fit of the prediction model.The results of the confusion matrix assessment showed that the sensitivity of the model was 0.669(0.624-0.773),the specificity was 0.827(0.724-0.930),and the accuracy was 0.732(0.665-0.793).Conclusion The nomogram prediction model based on place of onset,hepatomegaly,the prophylactic use of antibiotics and WBC has excellent fit and discrimination,providing an effective quantitative tool for prognosis assessment of IM.
9.Epidemiological and clinical characteristics of infectious diseases of the central nervous system: a national multicenter cross-sectional study
Jiahua ZHAO ; Jun GUO ; Xiaoyan ZHANG ; Wei LI ; Wen HUANG ; Xiaofei ZHU ; Jianxin YE ; Xiaoling WANG ; Juan DU ; Min LI ; Juan DU ; Zegang YIN ; Jinli FENG ; Chaohui WANG ; Xiaowei MAO ; Jing CHEN ; Xiaowei XING ; Yuheng SHAN ; Yuying CEN ; Xiaojiao XU ; Ruishu TAN ; Jiatang ZHANG
Chinese Journal of Neurology 2025;58(5):485-493
Objective:To analyze the epidemiological and clinical features of infectious diseases of the central nervous system (CNS).Methods:A cross-sectional study and analysis were conducted to summarize the epidemiological and clinical characteristics of 9 918 patients with CNS infectious diseases, who were diagnosed and treated at 29 hospitals across China from January 1, 2001 to December 31, 2020. Data collected included demographic data, clinical manifestations, health economic indicators, and prognostic outcomes.Results:Among the 9 918 collected cases of CNS infectious diseases, 5 559 were male (56.0%) and 4 359 were female (44.0%), with an onset age of 38 (25, 53) years. Education level: slightly more junior high school education (2 651 cases, 26.7%), and less elementary school education and below (2 181 cases, 22.0%) were found. Occupational distribution: farmers were found predominant (3 215 cases, 32.4%), followed by workers (1 826 cases, 18.4%) and students (1 633 cases, 16.5%). Clinical manifestations: headache (6 074 cases, 61.2%), fever (5 869 cases, 59.2%) and positive meningeal irritation signs (2 273 cases, 22.9%) were the 3 most common clinical manifestations, followed by nausea and (or) vomiting (2 095 cases, 21.1%), impaired consciousness (2 077 cases, 20.9%), psychiatric symptom (1 866 cases, 18.8%) and epilepsy (1 627 cases, 16.4%), etc., and cranial nerve involvement was found in 669 cases (6.7%). Major pathogens included viruses in 6 814 cases (68.7%), Mycobacterium tuberculosis in 1 677 cases (16.9%), common bacteria in 864 cases (8.7%), fungi in 254 cases (2.6%), spirochetes of syphilis in 183 cases (1.8%), parasites in 121 cases (1.2%), and rickettsiae in 5 cases (0.1%). Urban-rural distribution: slightly more cases were found in the countryside (5 418 cases, 54.6%) than in the towns (4 500 cases, 45.4%). Distribution of onset by season: 2 412 cases (24.3%) fell ill in spring, 2 835 cases (28.6%) in summer, 2 187 cases (22.1%) in fall, and 2 484 cases (25.0%) in winter. Health economics: the duration of hospitalization was 15 (8, 27) days, and the cost of hospitalization was 1.53 (0.91, 3.02)×10 000 yuan. Prognosis: 9 531 cases (96.1%) were cured or improved, and 92 cases (0.9%) died. Conclusions:The pathogens responsible for CNS infectious diseases are predominantly viruses. Although the incidence is slightly higher during the summer months, the overall seasonal pattern is not particularly pronounced. These infections are more commonly observed in young and middle-aged males and present with a diverse range of clinical manifestations, contributing to a significant disease burden.
10.The role and mechanism of SOX4 in Helicobacter pylori-mediated gastric mucosal epithelial dysplasia
Feng DU ; Rui XU ; Mengran ZHAO ; Xu JI ; Jiayi SU ; Yuting QIU ; Shengtao ZHU ; Jing WU ; Peng LI ; Shutian ZHANG
Journal of Capital Medical University 2025;46(4):644-653
Objective To investigate the role and molecular mechanism of SOX4 in Helicobacter pylori(H.pylori)-mediated gastric mucosal epithelial dysplasia.Methods The expression of SOX4 in gastric tissues and cells was analyzed with reverse transcription-polymerase chain reaction(RT-PCR),Western blotting,and immunohistochemical staining.The effects of SOX4 on gastric epithelial cell proliferation and colony formation were determined with CCK-8 and colony formation assays.A PCR array was used to screen downstream target genes involved in H.pylori-induced dysplasia mediated by SOX4.The transcriptional regulation and binding sites of the target gene MLH3 by SOX4 were elucidated with luciferase reporter assay,promoter truncation assay,and chromatin immunoprecipitation(ChIP).Results SOX4 expression was significantly increased in H.pylori-infected gastric tissues(P<0.05).Overexpression of SOX4 markedly enhanced the proliferation and colony formation abilities of normal gastric epithelial cells(P<0.05).Elevated SOX4 led to the dysregulation of MLH3 and other DNA damage repair-related molecules after H.pylori infection in gastric epithelial cells(|logFC|>1,P<0.05).H.pylori promoted MLH3 expression in gastric epithelial cells through SOX4.SOX4 transcriptionally activated MLH3 expression by binding to the 5th site of the MLH3 promoter.The increased expression of SOX4 and MLH3 is associated with poor prognosis of gastric cancer patients.Conclusion SOX4 is closely associated with H.pylori-induced dysplasia in gastric epithelial cells.Upregulation of SOX4 promotes H.pylori-related dysplasia by transcriptionally activating MLH3,leading to the imbalance of proliferation and colony formation in gastric epithelial cells.

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