AIM: To investigate the relationship between serum levels of sirtuins(Sirts)1-6 and oxidative stress markers, and to evaluate their diagnostic value for age-related cataract(ARC).METHODS:A prospective cohort of ARC patients admitted to the hospital between June 2019 and July 2021 was enrolled as the study subjects. Concurrently, age-matched healthy individuals undergoing routine physical examinations at the hospital during the same period were recruited as the control group. Baseline demographic and clinical characteristics were compared between the two groups. Serum levels of Sirt1-6 and oxidative stress markers including malondialdehyde(MDA), superoxide dismutase(SOD), glutathione peroxidase(GSH-Px), and total antioxidant capacity(TAC)were compared. Pearson correlation analysis was performed to assess the associations between serum Sirt1-6 levels and oxidative stress parameters. Multivariate Logistic regression analysis was conducted to analysis risk factors associated with ARC occurrence. Receiver operating characteristic(ROC)curve was used to evaluate the diagnostic value of serum Sirt1-6 levels and oxidative stress indicators for ARC.RESULTS: The study included 127 ARC patients, comprising 68 men and 59 women, with a mean age of 66.05±2.58 y; the concurrent control group consisted of 121 patients, comprising 63 men and 58 women, with a mean age of 65.54±2.86 y. Serum levels of Sirt1, 3 and 6, SOD, GSH-Px, and TAC were significantly lower in the ARC group compared to the control group(all P<0.001), whereas MDA levels were markedly elevated(P<0.001). Pearson correlation analysis revealed that serum levels of Sirt1, Sirt3, Sirt6 in the ARC group were positively correlated with SOD, GSH-Px, and TAC, and negatively correlated with MDA. Multivariate Logistic regression analysis demonstrated that serum Sirt1, Sirt6, MDA, SOD, and GSH-Px were significantly associated with the occurrence of ARC(all P<0.001). ROC curve analysis showed that the combination of Sirt1, Sirt6, MDA, SOD, and GSH-Px yielded an area under the curve(AUC)of 0.995 for diagnosing ARC, which was significantly higher than that of Sirt1 alone(Z=4.978,P<0.001), Sirt6 alone(Z=7.487,P<0.001), MDA alone(Z=6.449,P<0.001), SOD alone(Z=5.773,P<0.001), or GSH-Px alone(Z=5.056,P<0.001), indicating superior diagnostic accuracy of the multimarker panel(P<0.05). CONCLUSION: Serum levels of Sirt1, 3, and 6 are generally reduced in ARC patients and are closely associated with oxidative stress imbalance. Specifically, decreased serum levels of Sirt1 and Sirt6, along with oxidative stress markers(elevated MDA and reduced SOD and GSH-Px)are identified as risk factors for ARC. Moreover, the combined detection of these indicators presents high diagnostic value for ARC.

Against the backdrop of digital transformation in higher education， the traditional teaching model has become inadequate to meet the demands for cultivating new-quality nursing talents. Nursing ethics teaching confronts several dilemmas， such as unbalanced regional development， disconnection between theory and practice， scattered teaching resources， and fragmented knowledge points. With the iterative update of modern digital technologies， the knowledge graph， due to its structured， semantic， scalable， and multi-source integrative characteristics， offers a technological pathway to address these issues. Based on the construction foundation of the Ministry of Education’s first batch of virtual teaching and research platforms for humanistic nursing courses， the nursing ethics artificial intelligence（Al）course was developed around the“thinking-research-teaching-learning”framework. By strengthening ideological and political guidance， constructing a curriculum knowledge graph， and promoting the deep integration of humanistic care and professional knowledge，the course realized intelligent support for research，learning，and teaching. This innovative education model provides a replicable paradigm for cultivating outstanding nursing talents equipped with humanistic literacy， digital competence， and advanced ethical thinking， while also offering references for the digital transformation of higher nursing education.

Objective To investigate the association between plasma homocysteine(Hcy)level and coronary artery calcification(CAC)and its clinical predictive efficacy.Methods A total of 172 patients who underwent coronary CT angiography North China University of Science and Technology Affiliated Hospital from April 2019 to May 2021 and CAC score(CACS)＞0 were enrolled.According to the CACS value,the subjects were divided into mild calcification group(n=136)and severe calcification group(n=36),and the clinical characteristics of two groups were compared and analyzed.Multivariate Logistic regression model was used to screen the independent influencing factors of CAC severity,and a prediction model was constructed based on the Hcy detection value.The clinical diagnostic value was evaluated by the receiver operating characteristic(ROC)curve.Results There were significant differences in Hcy,white blood cell count,triglyceride and magnesium ion levels between two groups(P＜0.05).Multivariate Logistic regression analysis showed that Hcy,white blood cell count and magnesium ion level were independent risk factors for the progression of CAC.Furthermore,a regression model based on Hcy was constructed and ROC curve was fitted to evaluate its predictive efficacy.The results suggested that the predictive model had the best performance when the critical value of Hcy was set at 27.4μmol/L:the sensitivity was 55.6％,the specificity was 97.1％,and the area under the curve was 0.765.Conclusion Hcy serves as an independent risk factor for the severity of CAC and can effectively predict the progression of CAC with high accuracy.

Objective:To understand the current situation of the specialized nursing alliance team after training, and to provide countermeasures for the further construction of the specialized nurse linkage team in medical institutions.Methods:From April to July in 2024, the descriptive qualitative research method was used, 25 community nursing professionals were interviewed by the objective sampling, and the contents were analyzed and refined by the Colaizzi 7-step analysis method.Results:A total of 25 community specialist nurses were all females, aged 31 - 47 years old. Four themes and 15 sub-themes were extracted: internal benefits after the linkage of the specialized nursing alliance team, external benefits after the linkage of the specialized nursing alliance team, existing difficulties in the construction of the specialized nursing alliance team, and future needs of the specialized nursing alliance team construction. Based on this analysis, the present situation of the team construction of specialized nursing alliance is made.Conclusions:Under the background of medical union, the team construction of specialized nursing alliance meets the needs of patients and policy trends, and has achieved phased results. In the future, it is still necessary to further improve the professional ability of community specialized nurses and strengthen multi-channel sustainable cooperation, including reshaping the structure of medical resources, strengthening capital investment, improving the utilization rate of information technology and strengthening the assessment mechanism to promote the improvement of the specialized nursing alliance team.

Objective To investigate the risk factors for stroke-associated pneumonia(SAP)in patients with acute anterior circulation large-vessel occlusion stroke after endovascular treatment(EVT).Methods A total of 115 patients with acute anterior circulation large-vessel occlusion stroke who received EVT in the Department of Neurology,The First Affiliated Hospital of Xi'an Jiaotong University,from March 2022 to May 2023 were continuously included.Their clinical data were retrospectively collected.The patients were divided into SAP group(55 cases)and non-SAP group(60 cases)according to the occurrence of SAP after the operation.Differences in baseline data,surgical and perioperative indicators were compared between the two groups,and the risk factors for SAP after EVT were analyzed using the multivariate Logistic regression analysis.Results Univariate analysis showed there were significant differences in the Glasgow Coma Scale(GCS)score and the National Institute of Health Stroke Scale(NIHSS)score at admission,incidence of dysphagia,duration of the surgery,proportion of general anesthesia,rate of unsuccessful vascular recanalization and the rate of immediate CT high-density sign between SAP group and non-SAP group(all P＜0.05).Multivariate Logistic regression analysis of the above indicators showed that duration of the surgery(OR=1.014,95％CI:1.001-1.028,P＜0.05),dysphagia(OR=6.137,95％CI:1.694-22.232,P＜0.01)and unsuccessful vascular recanalization(OR=6.043,95％CI:1.062-34.382,P＜0.05)were independent risk factors for SAP after EVT.Conclusion Long duration of EVT,dysphagia and unsuccessful vascular recanalization are directly related to the occurrence of SAP after EVT in patients with acute anterior circulation large-vessel occlusive infarction.Therefore,targeted measures should be taken as soon as possible to reduce the incidence of SAP after EVT and thus improve the clinical prognosis of these patients.

With the rapid increase in the ownership of MRI equipment in China,quality control,particularly in clinical usage aspects,has become critically important.For clinical quality control of MRI systems,it is essential to establish comprehensive workflow principles encompassing multiple elements such as personnel,equipment,standards,tools and methodologies.To advance the standardization and widespread adoption of clinical quality control for MRI equipment,efforts must focus on strengthening regulatory frameworks,advancing phantom research,development and enhancing professional expertise.Concurrently,continuous improvements in training programs and supervision mechanisms are necessary to ensure the effective implementation of MRI clinical quality control practices.Furthermore,in the era of digital healthcare,clinical quality assurance for MRI equipment is evolving toward automation and intelligent solutions,providing higher-quality and more efficient assurance for clinical applications.

Purpose To measure the spatial resolution in MRI quality control testing automatically based on the American College of Radiology(ACR)phantom using the support vector machine(SVM)method,and the feasibility,accuracy and measurement speed of this method are explored.Materials and Methods Quality control tests were performed using eight MRI devices at Beijing Friendship Hospital of Capital Medical University.A retrospective study was conducted on 71 MRI quality control test images collected based on ACR phantoms between 2017 and 2019.The images were preprocessed by binarization,extraction region of interest and so on.An SVM-based classification model was constructed for analyzing the spatial resolution of dot arrays in row and column directions.The dataset was randomly split into a training set and a test set.The generalization performance of the classification model in this study was evaluated through accuracy,precision,recall and F1 score on the test set.Comparing the results of spatial resolution measurements obtained by both manual and automatic method,we demonstrated the feasibility and accuracy of the method.Additionally,the time taken for the automatic spatial resolution measurement was recorded.Results In this study,the proposed method of automatically measuring the spatial resolution of ACR phantom test images using SVM was feasible,high accuracy and short time.In classification performance test,the accuracy of the spatial resolution of the row directional latices was 95%,the precision was 100%.The accuracy of the spatial resolution of the column directional latices was 97%,the precision was 100%.Among the test cases,the results of automatic measurements matched those of manual measurements in 13 out of 14 cases.On average,automatic spatial resolution measurement took 0.158 seconds per case.Conclusion This study achieves automatic measurement of spatial resolution in MRI quality control based on the ACR phantom using SVM method.The method demonstrates high accuracy and fast measurement speeds,holding significant implications for future rapid MRI quality control stability testing.

Purpose To explore an automatic detection method for quality control performance indicators of radio frequency coils based on American College of Radiology(ACR)phantom,and verify its accuracy stability and computational efficiency.Materials and Methods A retrospective study was conducted on 50 quality control images collected based on ACR phantom in Beijing Friendship Hospital,Capital Medical University from May 2017 to July 2019.The measurement and calculation methods of signal noise ratio(SNR),percent image uniformity(PIU)and percent signal ghosting(PSG)were used to automatically calculate the above indicators using a self-designed program in Python.A simple linear regression analysis on the automatically calculated SNR,PSG and PIU values compared to the manually measured results was performed,and Bland-Altman analysis was used to calculate the percentage difference to evaluate the consistency and bias between the performance indicators calculated by the two methods.The time consumption of two detection methods was compared to verify their computational complexity and efficiency.Results There was a strong correlation between the performance indicators SNR,PSG and PIU of radio frequency coils measured and calculated automatically and manually(r=0.991 4,0.992 8 and 0.909 8,all P<0.0001).The Bland-Altman results showed that most of the data fall within the 95%confidence interval and were evenly distributed.In terms of computational complexity and efficiency,compared to the complex manual delineation and calculation of 2-3 minutes per case,automatic detection could simultaneously obtain SNR,PSG and PIU values in less than 1 second.Conclusion The automatic and manual measurement methods have good consistency,and the automatic detection method is easy to operate,which is helpful for the daily quality control work and performance monitoring of radio frequency coils.

AIM:To observe the neuroprotective effects of total saponins of Trillium tschonoskii Maxim(TST)on rats with vascular dementia(VD)and explore the drug's impact on astrocytes and the Sonic Hedgehog(Shh)pathway as well as its mechanisms of action.METHODS:A rat model of vascular dementia was established by bilateral common carotid artery occlusion.Subsequently,the rats were randomly divided into four groups:donepezil hydrochloride group,TST group,model group,and sham group,with 18 rats in each group.After 5 weeks of gavage,samples were collected.Cognitive function was evaluated by the water maze test.Histopathological changes in brain tissue were examined with HE and Nissl staining.The ultrastructure of astrocytes was analyzed by transmission electron microscopy.The localization and expression of the neuronal nuclear antigen(NeuN),glial fibrillary acidic protein(GFAP),Shh,and glioma-associated oncogene homolog 1(Gli1)were identified using immunohistochemistry.Immunofluorescence was also employed to exam-ine the expression of NeuN and GFAP.Finally,Western blot analysis was used to measure the protein levels of NeuN,GFAP,Shh,Patched 1(Ptch1),Gli1,Bax,Bcl-2,tumor necrosis factor-α(TNF-α),and interleukin-10(IL-10)in the hippocampus.RESULTS:Compared to the sham group,the model rats demonstrated prolonged escape latency,disorga-nized and loosened neuronal arrangement in the hippocampus and cortex,reduced Nissl bodies,and significant neuronal damage.Astrocytes displayed chromatin aggregation,swollen mitochondria with disrupted cristae structures,and swollen endoplasmic reticulum regions.The expression of NeuN,Shh,and Gli1 positive cells significantly decreased,while GFAP positive cells significantly increased.Additionally,the protein levels of NeuN,Shh,Ptch1,Gli1,IL-10,and Bcl-2 in the hippocampus were reduced(P＜0.05),whereas those of GFAP,Bax,and TNF-α were elevated(P＜0.01).Com-pared to the model group,the donepezil hydrochloride and TST groups effectively improved the aforementioned indicators.CONCLUSION:Total saponins of trillium tschonoskii maxim can effectively alleviate pathological damage to neurons in VD rats,thereby improving learning and memory abilities.The underlying mechanisms may involve inhibiting the overacti-vation of astrocytes,activate the Shh/Ptch1/Gli1 signaling pathway,suppress neuroinflammation,and reduce neuronal apoptosis.

Background and Aims:Aortic aneurysm,a major cardiovascular disease with high mortality and disability rates,has emerged as a critical global public health challenge.Elevated body mass index(BMI)has been confirmed as an independent risk factor for aortic aneurysm.However,the long-term trends and heterogeneity of the disease burden attributable to high BMI in China-across sex,age,and region-remain insufficiently studied.This study,based on the Global Burden of Disease(GBD)database,aimed to analyze the changes in the disease burden of high BMI-related aortic aneurysm in China from 1990 to 2021 and compare these trends with those in global and socio-demographic index(SDI)-stratified regions.Methods:Data from GBD 2021 were used to extract mortality rates and disability-adjusted life years(DALY)due to aortic aneurysm attributable to high BMI in China from 1990 to 2021.Age-standardized mortality rate(ASMR)and age-standardized DALY rate(ASDR)were calculated.Long-term trends were assessed using the estimated annual percentage change(EAPC)and Joinpoint regression models.An autoregressive integrated moving average model was applied to project trends from 2022 to 2036.Results:During the study period,deaths and DALY from aortic aneurysms attributable to high BMI in China increased nearly sevenfold.ASMR rose from 1 to 3 per 100 000 population(EAPC=3.91),and ASDR increased from 23 to 74 per 100 000(EAPC=4.11),both showing a marked upward trend.Males consistently bore a higher burden across all age groups,particularly among those aged≥65 years.Decomposition analysis revealed that the increased burden in males was mainly driven by epidemiological improvements,while that in females was primarily attributable to population aging.Compared with the United States and global trends,China exhibited a faster increase in high BMI-related aortic aneurysm burden,which is projected to remain elevated over the next 15 years.Conclusion:The disease burden of aortic aneurysm attributable to high BMI continues to rise in China,with pronounced differences across sex and age.Targeted weight management,health interventions,and early screening strategies are urgently needed for high-risk populations to curb the upward trend and optimize public health resource allocation.