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 formulate an expert consensus on the puncture of difficult arteriovenous fistula under real-time guidance of ultrasound(hereinafter referred to as the consensus).To standardize the clinical practice of ultrasound-guided puncture of difficult autologous arteriovenous fistula.Methods We conducted a comprehensive literature review of domestic and international publications,integrated clinical nursing experts' practical experience,and followed evidence-based nursing principles to identify the best available evidence.Through expert panel discussions and 3 rounds of Delphi expert consultation,we systematically revised,refined and improved the initial draft of the consensus,ultimately developing the finalized version.Results The response rates of the 3 rounds of Delphi expert correspondence inquiries were all 100％;the authority coefficient of expert correspondence inquiries was 0.97;the mean importance assignment of the 3 rounds of correspondence inquiries was more than 3.50.The Kendall coordination coefficients of the 3 rounds of expert consultation were 0.127,0.120,and 0.201,respectively(P＜0.05),and the degree of coordination of expert opinions was good and the expert opinions were consistent.The consensus summarized 5 aspects,including relevant terms and definitions,indications for real-time ultrasound-guided arteriovenous fistula puncture,personnel qualifications and training,difficult arteriovenous fistula puncture procedures under real-time ultrasound-guided,and nursing quality control.Conclusion The consensus is scientific,which can provide a basis for hemodialysis practitioners to practice the puncture of difficult arteriovenous fistula under real-time guidance of ultrasound.

Approximately 300 million tons of plastic are produced globally each year,which has a serious impact on human health,marine life and the livestock industry.Microplastics have also been detected in meat and milk samples.Research has shown that nanoplastics(NP)(＜1 μm)and mi-croplastics(MP)(1 μm-5 mm)can affect the digestive,immune and reproductive systems of ani-mals.This experiment aims to investigate whether NP and MP regulate autophagy and damage the nervous system and spatial memory of animals.This experiment was divided into control group,nanoplastic group(PS-NP group,0.1 μm)and microplastic group(PS-MP group,1 μm),with 20 mice in each group.The mice were given 0.5 mL of PS-NP and PS-MP every day for 35 consecutive days,followed by neck amputation and brain analysis.The results showed that NPs and MPs of dif-ferent diameters caused varying degrees of damage to the brains of mice.In the behavioral tests of new object recognition,barnes maze and Y-shaped maze spatial memory,compared with the control group,the PS-NP group and PS-MP group showed a significant decrease in spatial memory ability of mice.HE staining results showed that neuronal cells in the PS-NP and PS-MP groups of mice exhibited shrinkage,decreased cell volume and deepened staining.The number of Nissl bodies de-creased,leading to dissolution and disappearance.RT-PCR and Western blot results showed that compared with the control group,the expression of glutamate receptors NR1,NR2A and NR2B in-creased in mice administered NP and MP orally,while the expression of autophagy related proteins Parkin,LC3B and Beclin1 was inhibited.In summary,this study suggests that nanoplastics and mi-croplastics stimulate glutamate receptors in mice by inhibiting the autophagy pathway,leading to impaired spatial memory.

Objective We propose a method for multi-label classification of traditional Chinese medicine(TCM)literature using graph neural networks to enhance sentence embeddings.This approach can effectively capture the relationships between similar articles.By integrating with the semantic information of the text,it improves classification performance.Methods Sentence embedding data of papers are obtained,and a heterogeneous network of traditional Chinese medicine literature is established.The representation information of papers on the heterogeneous network and their own sentence embedding information are learned through the GraphSAGE model of graph neural networks.The feature vectors obtained are then input into the model for multi-label classification.Results In a TCM literature dataset,the multi-label classification model based on graph neural networks achieved precision and F1 scores of 0.83 and 0.72,respectively,outperforming mainstream baseline models.Conclusion The effectiveness of the proposed method in the multi-label classification task for TCM journals.

Objective To investigate the clinical application value of blood routine parameters such as white blood cells(WBC),neu-trophils(NEU),lymphocytes(LYM),monocytes(MON),platelets(PLT),neutrophil to lymphocyte ratio(NLR),and platelet to lymphocyte ratio(PLR)and C-reactive protein(CRP)in children with influenza A(Flu A)virus infection.Methods 317 children with upper respiratory tract symptoms visited Department of Pediatrics,Affiliated Jiangning Hospital of Nanjing Medical University from September 2023 to May 2024 were retrospectively analyzed.According to the six kinds of nucleic acid test results of upper respiratory tract,the children were divided into the Flu A group(n=150)and disease control group(n=167).In addition,97 healthy children who underwent physical examination in our hospital during the same period were selected as the healthy control group.The finger blood of the children was collected for the detection of blood routine parameters and CRP.The Kruskal-Wallis H non-parametric test was used to compare the differences of these parameters among the three groups.The receiver operating characteristic(ROC)curve was drawn,and the area under the ROC curve(AUCROC)was used to evaluate the diagnostic value of each indicator for influenza A virus infection.Results The NLR and PLR in the Flu A group were significantly higher than those in the disease control group and healthy control group,while the levels of WBC and LYM were significantly lower than those in the disease control group and healthy control group(P＜0.05).The level of CRP in the Flu A group was higher than that in the healthy control group but lower than that in the disease control group(P＜0.05).The indicator with the best diagnostic efficacy for influenza A virus infection was LYM,whose AUCROC was 0.79.When the optimal diagnostic threshold was 1.55×109/L,its sensitivity and specificity were 0.620 and 0.837,respectively.Next were PLR and NLR,with AUCROC of 0.735 and 0.723,specificity of 0.754 and 0.826,and sensitivity of 0.693 and 0.553,respectively.The diagnostic efficacy of MON,PLT,and CRP was relatively low.The AUCROC of the combined detection of LYM,NLR,PLR,MON,PLT,and CRP for the diagnosis of influenza A virus infection could increase to 0.838.Conclusion The blood routine parameters of children with influenza A virus infection show a decrease in the level of LYM and an increase in NLR and PLR.The combined detection of LYM,NLR,PLR,MON,PLT,and CRP can improve the accuracy of early diagnosis of influenza A virus infection in children.

Approximately 300 million tons of plastic are produced globally each year,which has a serious impact on human health,marine life and the livestock industry.Microplastics have also been detected in meat and milk samples.Research has shown that nanoplastics(NP)(＜1 μm)and mi-croplastics(MP)(1 μm-5 mm)can affect the digestive,immune and reproductive systems of ani-mals.This experiment aims to investigate whether NP and MP regulate autophagy and damage the nervous system and spatial memory of animals.This experiment was divided into control group,nanoplastic group(PS-NP group,0.1 μm)and microplastic group(PS-MP group,1 μm),with 20 mice in each group.The mice were given 0.5 mL of PS-NP and PS-MP every day for 35 consecutive days,followed by neck amputation and brain analysis.The results showed that NPs and MPs of dif-ferent diameters caused varying degrees of damage to the brains of mice.In the behavioral tests of new object recognition,barnes maze and Y-shaped maze spatial memory,compared with the control group,the PS-NP group and PS-MP group showed a significant decrease in spatial memory ability of mice.HE staining results showed that neuronal cells in the PS-NP and PS-MP groups of mice exhibited shrinkage,decreased cell volume and deepened staining.The number of Nissl bodies de-creased,leading to dissolution and disappearance.RT-PCR and Western blot results showed that compared with the control group,the expression of glutamate receptors NR1,NR2A and NR2B in-creased in mice administered NP and MP orally,while the expression of autophagy related proteins Parkin,LC3B and Beclin1 was inhibited.In summary,this study suggests that nanoplastics and mi-croplastics stimulate glutamate receptors in mice by inhibiting the autophagy pathway,leading to impaired spatial memory.

Objective:To retrospectively analyse the clinical data of patients after NUSS procedure for pectus excavatum, and summary of surgical techniques for NUSS bar removal.Methods:Retrospectively collected the clinical data of 276 patients undergoing NUSS bar removal from January 2024 to September 2024 in Beijing Children's Hospital affiliated to Capital Medical University. The age of the patients ranged from 6 to 20 years old, 211 males and 65 females. The average time the bar was in place in the body was 36 months.Results:All 276 patients successfully completed the NUSS bar removal. The average operative time was 22.6 min, with an average blood loss of 3.3 ml. 90 patients with bone scabs, 104 patients with wire breakage were successfully removed. 2 cases of postoperative wound infection, no other intraoperative and postoperative complications. The average hospitalization time after surgery was 1.2 days. Follow up for 3 months after surgery, and no abnormalities were found on the chest X-ray.Conclusion:Mastering the surgical techniques for pectus excavatum bar removal enhances the safety and efficiency of the procedure. It effectively reduces the incidence of intraoperative and postoperative complications, shortens operative time, and alleviates postoperative pain in patients.

Objective We propose a method for multi-label classification of traditional Chinese medicine(TCM)literature using graph neural networks to enhance sentence embeddings.This approach can effectively capture the relationships between similar articles.By integrating with the semantic information of the text,it improves classification performance.Methods Sentence embedding data of papers are obtained,and a heterogeneous network of traditional Chinese medicine literature is established.The representation information of papers on the heterogeneous network and their own sentence embedding information are learned through the GraphSAGE model of graph neural networks.The feature vectors obtained are then input into the model for multi-label classification.Results In a TCM literature dataset,the multi-label classification model based on graph neural networks achieved precision and F1 scores of 0.83 and 0.72,respectively,outperforming mainstream baseline models.Conclusion The effectiveness of the proposed method in the multi-label classification task for TCM journals.

Abstract In recent years, the prevalence of overweight and obesity among children and adolescents has risen rapidly, posing a serious threat to their physical and mental health. To provide scientific, systematic, and standardized weight management guidance for overweight and obese children and adolescents, the study focuses on the core concept of healthy lifestyle intervention, integrates multidisciplinary expert opinions and research findings,and proposes a comprehensive multidisciplinary intervention framework covering scientific exercise intervention, precise nutrition and diet, optimized sleep management, and standardized psychological support. It calls for the establishment of a multi agent collaborative management mechanism led by the government, implemented by families, fostered by schools, initiated by individuals, optimized by communities, reinforced by healthcare, and coordinated by multiple stakeholders. Emphasizing a child and adolescent centered approach, the consensus advocates for comprehensive, multi level, and personalized guidance strategies to promote the internalization and maintenance of a healthy lifestyle. It serves as a reference and provides recommendations for the effective prevention and control of overweight and obesity, and enhancing the health level of children and adolescents.

Objective To analyze the value of serum neutrophil count (NEUT), homocysteine (Hcy), adiponectin (APN) and blood glucose in predicting the occurrence of acute myocardial infarction (AMI) in patients with coronary heart disease. Methods The clinical data of 98 patients with coronary heart disease who were admitted to the hospital from March 2022 to March 2024 were collected retrospectively. Patients included were divided into AMI group (n=33) and non-AMI group (n=65) according to the presence and absence of AMI. Baseline data, complications, ultrasound examination data and laboratory examination data were collected. Multivariate logistic regression analysis was performed to identify the influencing factors of AMI in patients with coronary heart disease. The receiver operating characteristic curves were used to evaluate the predictive value of NEUT, Hcy, APN and blood glucose for AMI in patients with coronary heart disease. Results The levels of fasting plasma glucose (FPG), 2-hour postprandial plasma glucose (2hPG), glycosylated hemoglobin (HbA1c), NEUT, APN, Hcy, N-terminal pro B-type natriuretic peptide (NT-proBNP), C-reactive protein (CRP), red blood cell distribution width (RDW) and white blood cell (WBC) in the AMI group were higher than those in the non-AMI group (P<0.05). Logistic regression analysis found that FPG, 2hPG, HbA1c, NEUT, APN, Hcy, NT-proBNP, CRP, RDW, and WBC were independent influencing factors of AMI in patients with coronary heart disease (P<0.05). ROC curves indicated that the levels of FPG, 2hPG, HbA1c, NEUT, APN and Hcy were abnormally elevated in patients with coronary heart disease. Above indicators were helpful for predicting the occurrence of AMI. The area under the curve (AUC) and sensitivity of FPG for predicting AMI in patients with coronary heart disease were the best (P<0.05). Conclusion Abnormal elevated levels of FPG, 2hPG, HbA1c, NEUT, APN and Hcy are independent risk factors for AMI in patients with coronary heart disease. All of these indicators have predictive value.