1.Construction of a predictive model for cerebral small vessel disease MRI burden based on β2-microglobulin and lipoprotein(a)
Xiaoyan LI ; Hongge JI ; Tingting WANG ; Yingying LI ; Xijing ZHA ; Bin LI ; Dan JIANG
Chinese Journal of Clinical Medicine 2025;32(4):634-641
Objective To construct a predictive model for cerebral small vessel disease (CSVD) MRI burden based on β2-microglobulin (β2-MG) and lipoprotein(a) [Lp(a)], analyze its predictive value, and validate the model. Methods A total of 138 CSVD patients admitted to Anhui No.2 Provincial People’s Hospital from February 2023 to August 2024 were enrolled. Patients were divided into a low-burden group (n=63) and a moderate/severe burden group (n=75) according to the CSVD MRI burden scoring criteria. The related clinical data were compared between the two groups. Binary logistic regression analysis was used to identify independent factors for CSVD moderate/severe MRI burden. A nomogram predictive model was constructed based on these factors and its performance was evaluated. Results The proportions of male patients, as well as those with a history of diabetes or hypertension, were significantly higher in the moderate/severe burden group than those in the low burden group. Additionally, the age of patients in the moderate/severe burden group was significantly older, and the levels of β2-MG, Lp(a), and homocysteine (Hcy) were higher than those in the low burden group (P<0.01). Binary logistic regression analysis revealed that hypertension, diabetes, β2-MG, and Lp(a) were independent factors for CSVD moderate/severe MRI burden (P<0.05). The nomogram predictive model based on these four factors had a cut-off value of 0.467 0, with an area under curve (AUC) of 0.838 7 (95%CI 0.760 8-0.916 6) in the training set (n=97) and 0.854 1 (95%CI 0.742 1-0.966 1) in the internal validation set (n=41) . The calibration curve demonstrated good agreement between predicted and observed values. Decision curve analysis (DCA) indicated that the nomogram model had good clinical utility. Conclusions The nomogram model based on β2-MG and Lp(a) has high predictive performance in assessing the risk of CSVD moderate/severe MRI burden, with good discrimination and calibration.
2.Investigation of infection control and prevention strategies on carbapenem-resistant Klebsiella pneumoniae nosocomial outbreak in a hospital in Shandong Province
REN Yulian ; CHEN Xiaoyan ; JI Xiao
China Tropical Medicine 2025;25(2):242-
Objective To analyze and investigate a hospital-acquired outbreak of carbapenem-resistant Klebsiella pneumoniae (CRKP) in a hospital's neurosurgical intensive care unit (NSICU), and to implement rectification based on the investigation results, providing valuable insights and recommendations for controlling similar outbreaks caused by multi-drug-resistant strains. Methods The field epidemiological investigation was conducted to investigate five cases of clustered CRKP pulmonary infection in the NICU in Shandong in 2021. Hygienic monitoring of the environment was undertaken. The main occurrence stages were analyzed, effective control measures were taken, and the effectiveness of the control measures was evaluated. Results The study identified an outbreak of CRKP infections that occurred in the neurosurgical intensive care unit, with the beds of infection cases and spatial positions being centrally distributed. Hygienic monitoring was performed on environmental surfaces, as well as the hands and nasal cavities of medical and cleaning staff. In the first sampling, 3 samples from the patient bed units tested positive for CRKP, while no CRKP was detected on other surfaces, or in samples from the hands and nasal passages of the medical staff and air specimens. The CRKP strains found on surfaces had antibiotic resistance profiles consistent with the patient strains. No further related cases occurred after comprehensive control measures were implemented. Conclusions The comprehensive control measures, including enhanced ward disinfection and isolation, strict management of hand hygiene among medical staff, and personnel training, can effectively control the outbreak of CRKP hospital-acquired infections in NSICU.
3.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
4.National bloodstream infection bacterial resistance surveillance report(2022): Gram-positive bacteria
Chaoqun YING ; Yunbo CHEN ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Haifeng MAO ; Hui DING ; Pengpeng TIAN ; Jiangqin SONG ; Yongyun LIU ; Jiliang WANG ; Yan JIN ; Yuanyuan DAI ; Yizheng ZHOU ; Yan GENG ; Fenghong CHEN ; Lu WANG ; Yanyan LI ; Dan LIU ; Peng ZHANG ; Junmin CAO ; Xiaoyan LI ; Dijing SONG ; Xinhua QIANG ; Yanhong LI ; Qiuying ZHANG ; Guolin LIAO ; Ying HUANG ; Baohua ZHANG ; Liang GUO ; Aiyun LI ; Haiquan KANG ; Donghong HUANG ; Sijin MAN ; Zhuo LI ; Youdong YIN ; Kunpeng LIANG ; Haixin DONG ; Donghua LIU ; Hongyun XU ; Yinqiao DONG ; Rong XU ; Lin ZHENG ; Shuyan HU ; Jian LI ; Qiang LIU ; Liang LUAN ; Jilu SHEN ; Lixia ZHANG ; Bo QUAN ; Xiaoping YAN ; Xiaoyan QI ; Dengyan QIAO ; Weiping LIU ; Xiusan XIA ; Ling MENG ; Jinhua LIANG ; Ping SHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2024;17(2):99-112
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-positive bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-positive bacteria from blood cultures in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)were collected during January 2022 to December 2022. 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 software were used to analyze the data.Results:A total of 3 163 strains of Gram-positive pathogens were collected from 51 member units,and the top five bacteria were Staphylococcus aureus( n=1 147,36.3%),coagulase-negative Staphylococci( n=928,29.3%), Enterococcus faecalis( n=369,11.7%), Enterococcus faecium( n=296,9.4%)and alpha-hemolyticus Streptococci( n=192,6.1%). The detection rates of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)were 26.4%(303/1 147)and 66.7%(619/928),respectively. No glycopeptide and daptomycin-resistant Staphylococci were detected. The sensitivity rates of Staphylococcus aureus to cefpirome,rifampin,compound sulfamethoxazole,linezolid,minocycline and tigecycline were all >95.0%. Enterococcus faecium was more prevalent than Enterococcus faecalis. The resistance rates of Enterococcus faecium to vancomycin and teicoplanin were both 0.5%(2/369),and no vancomycin-resistant Enterococcus faecium was detected. The detection rate of MRSA in southern China was significantly lower than that in other regions( χ2=14.578, P=0.002),while the detection rate of MRCNS in northern China was significantly higher than that in other regions( χ2=15.195, P=0.002). The detection rates of MRSA and MRCNS in provincial hospitals were higher than those in municipal hospitals( χ2=13.519 and 12.136, P<0.001). The detection rates of MRSA and MRCNS in economically more advanced regions(per capita GDP≥92 059 Yuan in 2022)were higher than those in economically less advanced regions(per capita GDP<92 059 Yuan)( χ2=9.969 and 7.606, P=0.002和0.006). Conclusions:Among the Gram-positive pathogens causing bloodstream infections in China, Staphylococci is the most common while the MRSA incidence decreases continuously with time;the detection rate of Enterococcus faecium exceeds that of Enterococcus faecalis. The overall prevalence of vancomycin-resistant Enterococci is still at a low level. The composition ratio of Gram-positive pathogens and resistant profiles varies slightly across regions of China,with the prevalence of MRSA and MRCNS being more pronounced in provincial hospitals and areas with a per capita GDP≥92 059 yuan.
5.Application of SECI model in clinical practice training of hematology nurses
Cheng LI ; Xiaoxia GE ; Dongli JI ; Xiaoyan WANG ; Xia CHEN
Chinese Journal of Medical Education Research 2024;23(10):1408-1412
Objective:To explore the effectiveness of SECI (socialization, externalization, combination, and internalization) model in clinical practice training of hematology nurses.Methods:A total of 86 students from the clinical practice training course for hematology nurses from October 2022 to September 2023 were selected as the research subjects. The 43 trainees who received practical training from October 1, 2022 to March 31, 2023 were included in the traditional group, and the 43 trainees who received practical training from April 1, 2023 to September 30, 2023 were included in the observation group. The traditional group received traditional teaching, while the observation group received SECI teaching. After the training, basic assessment and satisfaction evaluation were conducted, and a long-term evaluation was conducted at 6 months after the training. The t test and chi-square test were performed using SPSS 25.0. Results:The observation group had higher scores in case reports [(92.03±2.21) vs. (88.14±2.36)], theoretical assessments [(95.61±3.79) vs. (86.58±3.75)], and operational assessments [(96.24±1.45) vs. (90.13±1.41)] compared with the traditional group (all P<0.05). The observation group had higher scores for teaching plans, teaching methods, teaching effectiveness, teaching atmosphere, internship content, and overall satisfaction with practical training than the traditional group ( P<0.05). The long-term evaluation showed that the theoretical and operational assessment scores of the observation group were higher than those of the traditional group at 6 months after training (both P<0.05). Conclusions:The application of SECI teaching in the clinical practice training of hematology nurses has shown good results, which can help nurses better grasp clinical theoretical knowledge and significantly improve their practical operation ability and training satisfaction.
6.Application of pediatric visualized teaching network on integrated online-offline teaching of medical students in the eight-year program
Meiying QUAN ; Ji LI ; Xiaoyan TANG ; Jun ZHAO ; Zhenghong LI
Chinese Journal of Medical Education Research 2024;23(11):1484-1488
Objective:To establish a pediatric visualized teaching network containing disease images and videos, and to investigate its application effect in assisting the integrated online-offline teaching of pediatric students.Methods:The medical students of classes 2014 and 2015 in the eight-year program who studied as an intern in Department of Pediatrics, Peking Union Medical College Hospital, were enrolled as subjects. The medical students of class 2014 before the application of the pediatric visualized teaching network in the integrated online-offline teaching of pediatrics were enrolled as control group ( n=75), and the medical students of class 2015 after the application of the network were enrolled as experimental group ( n=64). The two groups were compared in terms of the results of group interview and the scores of clinical competency self-assessment scale before and after teaching assisted by the pediatric visualized teaching network. SPSS 26.0 software was used to perform a statistical analysis, with a significance level of α=0.05. Results:During the interview, most students thought that the visualized teaching network improved their learning interest in pediatrics and reduced the emotion of fear of difficulties when they just entered the pediatric internship. They were more confident in operation, and there were also increases in the degree of participation and success rate of operation. There were significant differences between the control group and the experimental group in the scores of six dimensions of the clinical competency self-assessment scale, professional competence [(3.1±0.4) vs. (4.2±0.6), P<0.001], knowledge and skills [(3.7±0.9) vs. (4.2±0.8), P<0.001], patient care [(3.7±0.8) vs. (4.3±0.6), P<0.001], communication and cooperation [(3.7±0.4) vs. (4.2±0.7), P<0.001], teaching ability [(3.8±0.5) vs. (4.3±0.8), P<0.001], lifelong learning [(3.9±0.6) vs. (4.4±0.6), P<0.001]. Conclusions:The visualized teaching network promotes the transformation of offline teaching to integrated online-offline teaching and the optimization of clinical competency-oriented teaching system.
7.National bloodstream infection bacterial resistance surveillance report (2022) : Gram-negative bacteria
Zhiying LIU ; Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Haifeng MAO ; Hui DING ; Pengpeng TIAN ; Jiangqin SONG ; Yongyun LIU ; Jiliang WANG ; Yan JIN ; Yuanyuan DAI ; Yizheng ZHOU ; Yan GENG ; Fenghong CHEN ; Lu WANG ; Yanyan LI ; Dan LIU ; Peng ZHANG ; Junmin CAO ; Xiaoyan LI ; Dijing SONG ; Xinhua QIANG ; Yanhong LI ; Qiuying ZHANG ; Guolin LIAO ; Ying HUANG ; Baohua ZHANG ; Liang GUO ; Aiyun LI ; Haiquan KANG ; Donghong HUANG ; Sijin MAN ; Zhuo LI ; Youdong YIN ; Kunpeng LIANG ; Haixin DONG ; Donghua LIU ; Hongyun XU ; Yinqiao DONG ; Rong XU ; Lin ZHENG ; Shuyan HU ; Jian LI ; Qiang LIU ; Liang LUAN ; Jilu SHEN ; Lixia ZHANG ; Bo QUAN ; Xiaoping YAN ; Xiaoyan QI ; Dengyan QIAO ; Weiping LIU ; Xiusan XIA ; Ling MENG ; Jinhua LIANG ; Ping SHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2024;17(1):42-57
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System(BRICS)were collected during January 2022 to December 2022. 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 software were used to analyze the data.Results:During the study period,9 035 strains of Gram-negative bacteria were collected from 51 hospitals,of which 7 895(87.4%)were Enterobacteriaceae and 1 140(12.6%)were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli( n=4 510,49.9%), Klebsiella pneumoniae( n=2 340,25.9%), Pseudomonas aeruginosa( n=534,5.9%), Acinetobacter baumannii complex( n=405,4.5%)and Enterobacter cloacae( n=327,3.6%). The ESBLs-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus spp. were 47.1%(2 095/4 452),21.0%(427/2 033)and 41.1%(58/141),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(58/4 510)and 13.1%(307/2 340);62.1%(36/58)and 9.8%(30/307)of CREC and CRKP were resistant to ceftazidime/avibactam combination,respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 59.5%(241/405),while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 18.4%(98/534). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions,with statistically significant differences in the prevalence of CRKP and CRPA( χ2=20.489 and 20.252, P<0.001). The prevalence of CREC,CRKP,CRPA,CRAB,ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals( χ2=11.953,81.183,10.404,5.915,12.415 and 6.459, P<0.01 or <0.05),while the prevalence of CRPA was higher in economically developed regions(per capita GDP ≥ 92 059 Yuan)than that in economically less-developed regions(per capita GDP <92 059 Yuan)( χ2=6.240, P=0.012). Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend,and Escherichia coli is ranked in the top,while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different,and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.
8.Application of
Xiaoyan SHUANG ; Liu CHEN ; Yunping CHEN ; Yuan JI
China Modern Doctor 2024;62(8):17-19,63
Objective To explore the application effect of"Internet + Medical treatment"model in patients with pulmonary rehabilitation after lung cancer surgery.Methods A total of 87 patients with lung cancer who received elective surgery in our hospital from June 2022 to January 2023 were selected and divided into control group(44 cases)and observation group(43 cases)according to random number table method.The control group received routine intervention,and the observation group received intervention based on"Internet + medical treatment"mode.The pulmonary function indexes[forced vital capacity(FVC),first second forced vital capacity(FEV1),respiratory flow(PEF)],cardiorespiratory endurance level[6min walking test(6MWT)],respiratory fatigue and quality of life(WHOQOL-BREF)of the two groups were compared.Results After 6 months of intervention,the scores of FVC,FEV1,PEF,6MWT distance and WHOQOL-BREE in the study group were higher than those in the control group,and the scores of respiratory fatigue were lower than those in the control group,with statistical significance(P<0.05).Conclusion"Internet + Medical treatment"intervention can improve lung function,increase cardiopulmonary endurance,reduce respiratory fatigue and improve quality of life in patients recovering from lung cancer surgery.
9.Application and case study of group-based multi-trajectory model in longitudinal data research
Xiaoyan WANG ; Xiubin SUN ; Yiman JI ; Tao ZHANG ; Yunxia LIU
Chinese Journal of Epidemiology 2024;45(11):1590-1597
The development of longitudinal cohorts has made the identification and surveillance of multiple biological markers and behavioral factors which influence disease course or health status become possible. However, traditional statistical methods typically use univariate longitudinal data for research, failing to fully exploit the information from multivariate longitudinal data. The group-based multi-trajectory model (GBMTM) emerged as a method to study the developmental trajectory of multivariate data in recent years. GBMTM has distinct advantages in analyzing multivariate longitudinal data by identifying potential subgroups of populations following similar trajectories by multiple indicators that influence the outcome of interest. In this study, we introduced the application of GBMTM by explaining the fundamental principles and using the data from a health management study in the elderly by using smart wearing equipment to investigate the relationship between multiple life-related variables and hypertension to promote the wider use of GBMTM in longitudinal cohort studies.
10.HUVEC-Based OGD/R Injury Model to Study the Effect of Danggui-Chuanxiong Herb Pair Medicine on the Main Pharmacological Components on VEGF-PI3K-AKT/NF-κB Signaling Pathway
Qiuru JI ; Wenjuan NI ; Xiaoyan WANG ; Shuqi ZHANG ; Yali WU ; Lu NIU ; Kun LI ; Weixia LI ; Jinfa TANG
World Science and Technology-Modernization of Traditional Chinese Medicine 2024;26(3):691-703
Objective To study the effects of Danggui-Chuanxiong herb pair medicine on vasoactive substances,adhesion factors,inflammatory factors,and VEGF-PI3K-AKT/NF-κB signaling pathways,in order to elucidate the mechanism of Danggui-Chuanxiong herb pair on the treatment of ischemic stroke(IS).Methods The oxygen glucose deprivation/reoxygenation(OGD/R)model of human umbilical vein endothelial cells(HUVEC)was constructed,and the cell viability was detected by cell proliferation kit(CCK-8 method)to explore the optimal modeling time of seven components;The release of lactate dehydrogenase(LDH)was detected by cytotoxicity kit;The expression of related cytokines was detected by enzyme-linked immunosorbent assay(ELISA);The mRNA expression of key proteins in the signaling pathway was detected by reverse transcription-polymerase chain reaction(RT-PCR).Results Reoxygenation after 6 h of oxygen-glucose deprivation of HUVEC is the best modeling time.High-dose chlorogenic acid group,ferulic acid group,senkyunolide H,low-dose and medium-dose butylidenephthalide group,medium-dose and high-dose senkyunolide A and ligustilide groups significantly decreased LDH leakage rate(P<0.05,P<0.01);The expression of IL-6 in the cells of the partial dose group of chlorogenic acid,caffeic acid,butenylphthalide,senkyunolide H and senkyunolide A was significantly increased,the expression of IL-1 in the cells of the partial dose group of chlorogenic acid,ferulic acid and senkyunolide A was significantly decreased,the expression of VEGF,ICAM-1 and VCAM-1 in the cells of the partial dose group of chlorogenic acid,ferulic acid and senkyunolide H was significantly decreased,the expression of NF-κB in the cells of the partial dose group of chlorogenic acid,ferulic acid,senkyunolide H and ligustilide was significantly decreased,the expression of PAI-1 in the cells of ferulic acid and senkyunolide H partial dose group decreased significantly(P<0.05,P<0.01);The mRNA relative expression levels of ERK,VEGF,NF-κB,VEGFR2 and MMP9 were significantly down-regulated in the cells of chlorogenic acid,ferulic acid,caffeic acid,butylidenephthalide and senkyunolide A partial dose group,while the mRNA relative expression levels of AKT were significantly up-regulated in the cells of senkyunolide H and senkyunolide A partial dose groups(P<0.05,P<0.01).Conclusion The medicinal components of Danggui-Chuanxiong herb pair may play a role in IS by inhibiting the mRNA expression of adhesion factor,inflammatory factor and key protein of VEGF-PI3K-AKT/NF-κB signaling pathway in HUVEC.

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