Background: and Purpose Vertebrobasilar fusiform aneurysms (VBFAs) carry substantial morbidity and mortality, but optimal management for unruptured VBFAs remains unclear. We compared the safety and efficacy of conservative management (CM), stent-assisted coiling (SAC), and flow diverters (FDs) in patients with unruptured VBFAs, focusing on long-term prognosis. Methods: This study included data from a nationwide Chinese cohort of patients with vertebrobasilar dissecting aneurysms. Inverse probability of treatment weighting (IPTW) balanced confounders across groups. The primary outcome was poor prognosis (modified Rankin Scale score >2). Secondary outcomes included aneurysm rupture, ischemic stroke, compression symptoms, and VBFA-related deaths. Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup and sensitivity analyses were performed. Results: Among 1,115 patients with unruptured VBFAs, 838 (median age, 54 years; 655 men) were included. After IPTW, baseline characteristics were balanced. Median follow-up was 54 months. FD was associated with a lower risk of poor prognosis than CM (OR, 0.48 [95% CI, 0.30 to 0.77]; p=0.002), with no difference between CM and SAC. FD also reduced aneurysm rupture (OR, 0.20 [95% CI, 0.07 to 0.60]; p=0.004) and compression symptoms (OR, 0.30 [95% CI, 0.13 to 0.68]; p=0.004) versus CM. Time-to-event analyses further revealed significant differences in vertebral artery lesions and Type I–II VBFAs, whereas no significant differences were observed in basilar or vertebrobasilar junction lesions or in Type III–IV VBFAs. Conclusions Compared with CM, FD was associated with improved long-term outcomes in unruptured VBFAs, particularly in vertebral artery lesions and Type I–II VBFAs, although residual confounding cannot be excluded.

Objective To explore the dietary nutrition status and nutritional intervention strategy of patients with Alzheimer’s disease (AD). Methods Among the 1 332 patients with AD diagnosed at Xijing Hospital from January 2021 to December 2023 were enrolled as the study subjects. The dietary intake data of patients were collected through questionnaire surveys and dietary reviews. During the study period, 30 patients did not complete the intervention due to withdrawal or loss of follow-up. Based on the actual number of people who completed the intervention, AD patients were randomly divided into intervention group (n=651, individualized nutritional intervention strategy) and control group (n=651, routine nutritional intervention), and both groups were intervened for 3 months. The cognitive function (MMSE score and MoCA score), nutritional status (MNA scale, NRS-2002 scale), and quality of life (GQOL-74) of the two groups of AD patients were compared to evaluate the effectiveness of the intervention strategies. Results A total of 1 332 questionnaires were distributed, and 1 302 valid questionnaires were finally recovered, with an effective recovery rate of 97.75% (1 302/1 332). The survey results showed that there were no statistical differences in baseline characteristics and dietary nutrition status between the two groups of AD patients before intervention (P>0.05). After nutritional intervention, the cognitive function, quality of life, and nutritional status of patients in the intervention group were significantly improved. The MMSE score, MoCA score, MNA score, and GQOL-74 score of the intervention group were significantly higher than those of the control group, while the NRS-2002 score was lower than that of the control group (P<0.05). Conclusion Nutritional intervention strategy has a significant effect on improving nutritional status, cognitive function, and quality of life of AD patients.

Objective: To explore differences in the factors influencing parents and teachers assessments of preschool children s mental health using the Strengths and Difficulties Questionnaire (SDQ), so as to provide reference for promoting children s mental health. Methods: A retrospective analysis was conducted on the SDQ survey data of 14 763 middle and senior kindergarten children in Nanshan District, Shenzhen, from March to June 2023. Chi square χ 2 tests were used to analyze differences in mental health assessments between parents and teachers. Multivariate Logistic regression was employed to examine the factors influencing parental assessments, and Kappa coefficients were used to evaluate the consistency between parent and teacher evaluations. Results: The positive rate of mental health problems reported by parents (7.2%) was significantly higher than that reported by teachers (6.2%) ( χ 2=254.27, P <0.01). Gender differences revealed that parents reported a lower positive rate for boys (7.9%) compared to teachers (8.5%), whereas for girls, the parental positive rate (6.4%) was higher than that reported by teachers (3.8%) ( χ 2=163.59, 81.26, all P <0.01). Age related differences showed that parental positive rates for 4, 5, and 6 year olds (8.5%, 7.4%, 5.8%) were consistently higher than teachers assessments (6.3%, 6.7%, 5.4%) ( χ 2=41.23, 157.53, 63.67, all P <0.05). Univariate analysis of parental assessments indicated higher positive rates among boys (7.9%), 4 year olds (8.5%), mothers aged 20-35 ( 6.6 %), mothers with high school education or below (9.8%), fathers aged 23-40 (6.4%), fathers with high school education or below (10.3%), and children exposed to secondhand smoke (7.9%) ( χ 2=23.56-235.24, all P <0.01). Multivariate Logistic regression identified lower parental education levels and exposure to secondhand smoke as significant risk factors for abnormal SDQ assessments by parents ( χ 2=2.05, 1.62, 3.15, all P <0.05). The Kappa coefficients for parent-teacher agreement across SDQ subscales and total difficulties ranged from 0.04 to 0.12 (all P <0.01). Conclusions Parental education level and exposure to secondhand smoke are significant factors influencing preschool children s mental health. Differences exist between parental and teacher assessments of children s mental health, and incorporating teacher evaluations can provide a more comprehensive understanding of preschoolers psychological well being.

Central nervous system（CNS） disorders are characterized by complex pathological mechanisms and the presence of the blood-brain barrier（BBB）， which significantly limits the effectiveness of drug therapy. Traditional drug delivery modes include oral administration， intravenous injection and transdermal delivery， which have certain advantages， but it is difficult for the drugs to effectively cross the BBB. Therefore， it is crucial to find drug delivery modes that can efficiently traverse the BBB. Nasal drug delivery， as a non-invasive method， can realize the targeted delivery of drugs to the CNS via three pathways， including olfactory neurons， trigeminal neurons and blood circulation， and shows a broad application prospect in the treatment of CNS diseases. Numerous studies have further confirmed that nasal drug delivery combined with novel drug delivery systems such as lipid nanocarriers， nanoparticles， nanoemulsions and composite in situ gels can effectively load the active components of traditional Chinese medicine（TCM）， and significantly increase drug concentration in the brain， which provides new strategies for the treatment of CNS diseases. In this paper， the current status of drug delivery for CNS diseases was systematically sorted out， the characteristics of nasal drug delivery were discussed in depth， and the research progress of passive targeting， active targeting， and "guiding the meridian" drug delivery strategies for the nasal-to-brain transport of TCM active components was summarized and analyzed， which was aimed to provide references and insights for the development of drugs for CNS diseases and the application of TCM in nasal-to-brain delivery.

Central nervous system（CNS） disorders are characterized by complex pathological mechanisms and the presence of the blood-brain barrier（BBB）， which significantly limits the effectiveness of drug therapy. Traditional drug delivery modes include oral administration， intravenous injection and transdermal delivery， which have certain advantages， but it is difficult for the drugs to effectively cross the BBB. Therefore， it is crucial to find drug delivery modes that can efficiently traverse the BBB. Nasal drug delivery， as a non-invasive method， can realize the targeted delivery of drugs to the CNS via three pathways， including olfactory neurons， trigeminal neurons and blood circulation， and shows a broad application prospect in the treatment of CNS diseases. Numerous studies have further confirmed that nasal drug delivery combined with novel drug delivery systems such as lipid nanocarriers， nanoparticles， nanoemulsions and composite in situ gels can effectively load the active components of traditional Chinese medicine（TCM）， and significantly increase drug concentration in the brain， which provides new strategies for the treatment of CNS diseases. In this paper， the current status of drug delivery for CNS diseases was systematically sorted out， the characteristics of nasal drug delivery were discussed in depth， and the research progress of passive targeting， active targeting， and "guiding the meridian" drug delivery strategies for the nasal-to-brain transport of TCM active components was summarized and analyzed， which was aimed to provide references and insights for the development of drugs for CNS diseases and the application of TCM in nasal-to-brain delivery.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

OBJECTIVE To investigate the current status of water management for terminal rinsing of digestive en-doscope in medical institutions in Fujian Province,and to provide reference for improving regional quality control standards.METHODS An electronic questionnaire survey was conducted from Jul.2024 to Aug.2024 through convenient sampling in secondary and above hospitals of 9 prefecture-level cities in Fujian Province.The survey covered topics such as water treatment system configuration,maintenance and water quality monitoring.RESULTS A total of 108 questionnaires were distributed and 104 valid questionnaires were collected,with an effec-tive response rate of 96.30％.The survey revealed that 78.85％(82/104)of the hospitals adopted separate water supply for each department,and 82.69％used purified water for terminal rinsing.Only 19.23％installed the final filter membrane at the water outlet.In addition,66.35％of the hospitals did not specify the service life of the wa-ter supply pipeline,and the pipeline disinfection implementation rate was 60.58％,but 31.75％of them had ir-regular disinfection frequencies,with chlorine-based disinfectants(50.79％)and peracetic acid(34.92％)being the main disinfectants.The regular conductivity monitoring rate was 47.12％,and the microbial monitoring cov-erage rate reached 90.38％,with the monitoring frequency mainly being once every quarter(60.64％),but only 20.21％used R2A medium,and 12.77％adopted the membrane filtration method for inoculation.Tertiary hospi-tals were superior to secondary hospitals in terms of film membrane pore size pass rate(87.50％vs.56.86％),pipeline disinfection implementation rate(71.43％vs.50.91％)and advanced detection method application(P＜0.05).CONCLUSIONS There are issues in the management of water used for terminal rinsing of digestive endo-scopes in Fujian Province,including non-standard equipment maintenance,inconsistent monitoring methods and insufficient awareness among management personnel.It is recommended to enhance management quality by optimizing the water treatment system setup,establishing standardized monitoring procedures and strengthening professional training for personnel.

OBJECTIVE To investigate the current status of water management for terminal rinsing of digestive en-doscope in medical institutions in Fujian Province,and to provide reference for improving regional quality control standards.METHODS An electronic questionnaire survey was conducted from Jul.2024 to Aug.2024 through convenient sampling in secondary and above hospitals of 9 prefecture-level cities in Fujian Province.The survey covered topics such as water treatment system configuration,maintenance and water quality monitoring.RESULTS A total of 108 questionnaires were distributed and 104 valid questionnaires were collected,with an effec-tive response rate of 96.30％.The survey revealed that 78.85％(82/104)of the hospitals adopted separate water supply for each department,and 82.69％used purified water for terminal rinsing.Only 19.23％installed the final filter membrane at the water outlet.In addition,66.35％of the hospitals did not specify the service life of the wa-ter supply pipeline,and the pipeline disinfection implementation rate was 60.58％,but 31.75％of them had ir-regular disinfection frequencies,with chlorine-based disinfectants(50.79％)and peracetic acid(34.92％)being the main disinfectants.The regular conductivity monitoring rate was 47.12％,and the microbial monitoring cov-erage rate reached 90.38％,with the monitoring frequency mainly being once every quarter(60.64％),but only 20.21％used R2A medium,and 12.77％adopted the membrane filtration method for inoculation.Tertiary hospi-tals were superior to secondary hospitals in terms of film membrane pore size pass rate(87.50％vs.56.86％),pipeline disinfection implementation rate(71.43％vs.50.91％)and advanced detection method application(P＜0.05).CONCLUSIONS There are issues in the management of water used for terminal rinsing of digestive endo-scopes in Fujian Province,including non-standard equipment maintenance,inconsistent monitoring methods and insufficient awareness among management personnel.It is recommended to enhance management quality by optimizing the water treatment system setup,establishing standardized monitoring procedures and strengthening professional training for personnel.

OBJECTIVE To explore and evaluate the machine learning model for prediction of bacterial bloodstream infections established based on routine test data.METHODS By means of retrospective survey,a total of 5 421 pa-tients who were hospitalized in 3 medical institutions from Jan.2015 to Dec.2022 were recruited as the research subjects,1 914 of whom were assigned as the bloodstream infection group,and 3 507 were assigned as the non-bloodstream infection group.The baseline data including gender and age and the results of routine laboratory tests were collected from the enrolled patients.The 3 types of machine learning algorithms,logistic regression,support vector machine and random forest,were respectively used for the screening of the optimal prediction model;the contribution of feature variables to the predictive capability of the model was interpreted through SHAP.The fea-ture variables of the model were optimized by using recursive feature elimination method,and the predictive effi-ciency of the model was evaluated by the area under the curve(AUC)of receiver operating characteristic(ROC)curves.RESULTS Totally 26 variables involving age,gender and blood routine test indexes were included.The random forest was chosen as the optimal machine learning algorithm for the establishment of prediction model for bloodstream infections,and the accuracy of the model was 0.709,with the AUC 0.706.The result of SHAP ex-planation indicated that the age,hematokrit and erythrocyte volume distribution width-CV had remarkable effect on the model's making right decisions.17 variables of the prediction model showed more remarkable effect than 26 variable on distinguishing from the gram-positive bacteria bloodstream infections from the gram-negative bacteria bloodstream infections,with the AUC 0.715,the sensitivity 0.701,the specificity 0.632.CONCLUSIONS The prediction model that is established based on the blood routine test indexes by machine learning algorithm can pre-dict the bacterial bloodstream infection.Meanwhile,the feature selection strategy can further improve the predic-tive efficiency of the model on basis of lowering the dimensionality.

Objective This study aims to construct and evaluate a clinical decision support system for individualized frequency repositioning in ICU patients using big data and modern information technology,with the goal of improving ICU nursing quality.Methods From February to August 2023,a dedicated research team was established to construct a data model based on real-world data from 3,988 ICU patients,assessing the impact of different position change frequencies on the incidence of pressure injuries.Based on this model,a decision support system was designed and developed,incorporating modules for personalized patient characteristics input,data analysis and result queries,decision recording,and patient file management.From September to November 2023,ICU nurses at a tertiary hospital in Qingdao city was selected to use the system.A usability survey was conducted using the System Usability Scale(SUS)to evaluate the system's usability.Results The constructed decision support system can display the outcomes for patients under 7 different position change frequencies based on the input of personalized patient characteristics and the calculation results from the data model,providing precise decision support for nurses.A total of 85 nurses participated in the system usability evaluation,with the SUS score of 64.22±13.9.Conclusion The constructed individualized frequency of repositioning decision support system for ICU patients demonstrates good scientific validity and usability,providing clinical nurses with a valuable reference for implementing personalized position change frequencies for patients.