ObjectiveTo investigate the metabolic alterations of serum short chain fatty acids （SCFAs） in pediatric patients with atopic dermatitis （AD） and their correlation with different clinical phenotypes using targeted metabolomics. MethodsThis study enrolled 87 AD patients and 67 healthy controls （HC）. Serum levels of eight SCFAs were quantified by ultra-high-performance liquid chromatography-mass spectrometry. The associations between SCFAs and AD were assessed using various statistical methods. ResultsCompared with the HC group， levels of acetic acid （AA）， propionic acid （PA）， and caproic acid （CA） （P=0.002，P=0.002，P=0.043） decreased in the AD group. Logistic regression analysis identified AA （OR=0.449， 95% CI： 0.289–0.698） and PA （OR = 0.487， 95% CI： 0.324–0.732） as protective factors against AD. The combination of AA and PA yielded an area under the curve （AUC） greater than 0.7， indicating good diagnostic efficacy. Age-stratified analysis revealed that AA reduction was predominant in childhood， whereas PA reduction was predominant in adolescence. Pathway enrichment analysis showed significant enrichment of fatty acid biosynthesis （FDR=0.341， P=0.003） and vitamin K metabolism （FDR=1， P=0.039） pathways. Furthermore， subgroup analyses based on disease severity， personal/family history of atopy， and sex revealed no significant differences in SCFAs levels among the groups. ConclusionDifferential serum SCFAs and their enriched metabolic pathways may be implicated in the pathogenesis of AD.

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 Based on comment texts from the Weibo platform， this study adopts the text mining method to systematically analyze the public’s emotional attitudes and core concerns of “medical insurance reimbursement”， and explore the public’s real experiences and feedback in the implementation of the current system. METHODS With “medical insurance reimbursement” as the keyword， Python web crawler technology was used to collect Weibo comment texts from December 2023 to April 2025. Word frequency analysis， sentiment analysis， semantic network analysis and Latent Dirichlet Allocation （LDA） topic models were adopted to mine the in-depth features of comment texts and investigate the public’s concerns and emotional attitudes toward “medical insurance reimbursement”. RESULTS A total of 3 645 valid comment texts were obtained. The overall emotional of the public toward “medical insurance reimbursement” was weakly positive： 66.4% of the comments contained positive emotions， and 32.4% contained negative emotions. Semantic network analysis indicated that positive public emotions mainly centered on the achievements of medical insurance reform and the improvement of security level， while negative emotions mainly focused on reimbursement rules， economic burden and the implementation of medical insurance policies. The LDA model identified eight core themes， mainly including access of new drugs to medical insurance catalogs， medical insurance support for traditional Chinese medicine and biomedicine， disputes over medical insurance coverage of specific medical items， cross-regional medical treatment and medical insurance settlement， medical insurance reimbursement and medical burden， as well as the approval of innovative drugs and medical insurance payment. CONCLUSIONS The public generally holds a positive attitude toward “medical insurance reimbursement”， yet still has many expectations in terms of policy implementation. On the premise of guaranteeing the sustainability of medical insurance funds， it is suggested to further improve the transparency and fairness of the reimbursement process， and promote the scientific， standardized and efficient development of the medical insurance system. Meanwhile， attention should be paid to public opinion feedback on social media， and the policy communication mechanism should be strengthened， so as to enhance the public’s sense of gain and trust in the medical insurance system.

OBJECTIVE Based on comment texts from the Weibo platform， this study adopts the text mining method to systematically analyze the public’s emotional attitudes and core concerns of “medical insurance reimbursement”， and explore the public’s real experiences and feedback in the implementation of the current system. METHODS With “medical insurance reimbursement” as the keyword， Python web crawler technology was used to collect Weibo comment texts from December 2023 to April 2025. Word frequency analysis， sentiment analysis， semantic network analysis and Latent Dirichlet Allocation （LDA） topic models were adopted to mine the in-depth features of comment texts and investigate the public’s concerns and emotional attitudes toward “medical insurance reimbursement”. RESULTS A total of 3 645 valid comment texts were obtained. The overall emotional of the public toward “medical insurance reimbursement” was weakly positive： 66.4% of the comments contained positive emotions， and 32.4% contained negative emotions. Semantic network analysis indicated that positive public emotions mainly centered on the achievements of medical insurance reform and the improvement of security level， while negative emotions mainly focused on reimbursement rules， economic burden and the implementation of medical insurance policies. The LDA model identified eight core themes， mainly including access of new drugs to medical insurance catalogs， medical insurance support for traditional Chinese medicine and biomedicine， disputes over medical insurance coverage of specific medical items， cross-regional medical treatment and medical insurance settlement， medical insurance reimbursement and medical burden， as well as the approval of innovative drugs and medical insurance payment. CONCLUSIONS The public generally holds a positive attitude toward “medical insurance reimbursement”， yet still has many expectations in terms of policy implementation. On the premise of guaranteeing the sustainability of medical insurance funds， it is suggested to further improve the transparency and fairness of the reimbursement process， and promote the scientific， standardized and efficient development of the medical insurance system. Meanwhile， attention should be paid to public opinion feedback on social media， and the policy communication mechanism should be strengthened， so as to enhance the public’s sense of gain and trust in the medical insurance system.

Metabolic dysfunction-associated fatty liver disease （MAFLD） has become the most common chronic liver disease worldwide. Its pathological process is centered on the “two-hit” theory， with gut-liver axis dysregulation running through the entire disease course from steatosis to liver cirrhosis and even hepatocellular carcinoma， and it forms an extensive cross-system regulatory mechanism with the metabolic， cardiovascular， renal， and psychological and nervous systems through multi-dimensional pathways such as the “gut-liver-brain axis”， the “liver-kidney axis”， and the “liver-heart axis”. Disease progression is not limited to the liver itself， and it also involves functional imbalance of multiple organ systems throughout the body. This article systematically elaborates on the association mechanism of “liver pathological progression-multi-axis regulation-comorbidity occurrence” in MAFLD， proposes synergistic management strategies integrating early screening based on risk stratification， targeted intervention， and multidisciplinary diagnosis and treatment， and analyzes the limitations of current research and future development directions， in order to provide a theoretical basis and practical guidance for precise diagnosis and treatment and individualized management of MAFLD.

Objective : To investigate the mechanism of action of benvitimod (BVM) in the treatment of atopic der- matitis (AD) . Methods : HaCaT cells were stimulated by TNF-α and IFN-γ , and the cells were grouped into NC group , TNF-α/IFN-γ group , TNF-α/IFN-γ BVM group , and TNF-α/IFN-γ BVM ML385 group. The AD model of DNCB-induced Balb/c mice was divided into CON group , DNCB group , DNCB + BVM group , and DNCB + TAC group. The efficacy of BVM and its roles in antioxidant and pyroptosis regulation were evaluated. Results: Compared with the control group , BVM inhibited the inflammatory response of HaCaT cells stimulated by TNF-α and IFN-γ , and ameliorated the skin lesions and inflammation in the DNCB-induced AD mouse model ; at the same time , it significantly increased the expression of nuclearfactorerythroid-2-relatedfactor2 (NRF2)-related anti-oxida- tive stress proteins , and significantly reduced the expression of cellular reactive oxygen species (ROS) levels and pyroptosis proteins. At the same time , the levels of NRF2-related antioxidative stress proteins significantly in- creased , and the levels of ROS and pyroptosis proteins significantly decreased. Conclusion BVM activates the NRF2/ROS/NLRP3 pathway to inhibit pyroptosis , thereby reducing the inflammatory response in AD.

Objective:To investigate differences in serum lipid profiles between patients with dermatomyositis (DM) and healthy controls.Methods:A retrospective analysis was conducted on the clinical data and serum samples collected from 51 patients with DM who visited the First Affiliated Hospital, Anhui Medical University from September 2020 to January 2022. Serum samples were also collected from 66 healthy controls during the same period. Serum lipid profiles were analyzed using ultra-performance liquid chromatography-mass spectrometry in both groups. Differential lipids were screened using principal component analysis and orthogonal partial least squares-discriminant analysis. The predictive value of these differential lipids for DM was evaluated by receiver operating characteristic (ROC) curve analysis, and their correlations with clinical indicators were also evaluated.Results:A total of 51 patients with DM were enrolled, including 27 males and 24 females, with ages ( M[ Q1, Q3]) of 55.00 (47.00, 66.00) years and body mass index (BMI) values of 22.64 (19.79, 24.75) . The control group included 66 healthy individuals (33 males and 33 females) , with ages of 51.00 (43.75, 56.00) years and BMI values of 23.60 (21.18, 25.19) . No significant differences were observed between the two groups in terms of sex, age, or BMI (all P > 0.05) . A total of 341 lipid metabolites were identified, and 16 lipid metabolites such as ceramides (Cer) , sphingomyelins, phosphatidylcholines (PC) , phosphatidylethanolamines, lysophosphatidylcholines (LPC) , and triglycerides (TG) significantly differed between the DM group and the control group, of which 8 were upregulated and 8 were downregulated in the DM group. ROC curve analysis identified 7 differential lipids with area under the curve (AUC) values of > 0.9, of which 2 were Cer, 3 were TG, 1 was phosphatidylethanolamine, and 1 was LPC. In the DM patients, serum LPC (22∶1) levels were negatively correlated with creatine kinase isoenzyme MB levels ( r = -0.276, P < 0.05) , serum PC (15∶1/16∶0) levels were negatively correlated with aspartate aminotransferase levels ( r = -0.305, P < 0.05) , and serum Cer (d18∶1/18∶0) levels were positively correlated with C-reactive protein levels ( r = 0.283, P < 0.05) . Significant differences in serum lipid levels were observed between some DM subgroups (all P < 0.05) : sphingomyelin (d24∶0) levels significantly differed between anti-Sj?gren syndrome type A/Ro52 antibody-positive and -negative DM patients; LPC (17∶1) levels significantly differed between anti-PM-SCL75 antibody-positive and -negative DM patients; LPC (20∶0) and PC (32∶1p) levels significantly differed between anti-Mi-2 antibody-positive and -negative DM patients; LPC (22∶1) and TG (9∶0/9∶0/9∶0) levels significantly differed between anti-TIF1-γ antibody-positive and -negative DM patients; Cer (d18∶1/18∶0) levels significantly differed between DM patients with and without Heliotrope's sign. Conclusion:Lipid profiles were significantly altered in DM patients compared with healthy controls, and some lipids showed potential diagnostic value for DM.

Objective:To understand the composition of infectious pathogens and the changes in the epidemic characteristics of inpatients with acute respiratory tract infections in Pudong New Area of Shanghai, from 2018 to 2023.Methods:Specimens of inpatients with acute respiratory infection cases were collected from 14 healthcare institutions in Pudong New Area, Shanghai, from 2018-2023 and tested for eight respiratory pathogens: influenza virus, adenovirus, rhinovirus, parainfluenza virus, respiratory syncytial virus, common coronavirus, metapneumovirus, and bocavirus. The groups were divided into three periods,2018-2019, 2020-2022 and 2023, and the chi-square or Kruskal-Wallis rank sum test was used to compare the group differences. The SPSS 22.0 software was used for statistical analysis.Results:Among the 3 023 inpatients with acute respiratory infection, the positive rate of any virus was 24.25% (733/3 023). The positive rates of any virus in 2018-2019, 2020-2022, and 2023 were 33.40% (336/1 006), 12.01% (116/966), and 26.74% (281/1 051), respectively, and the differences were statistically significant ( χ2=128.20, P<0.001). Among the age groups, in 2018-2019 and 2020-2022, the positive rate of any virus was the highest in the <5 years age group (46.20% and 14.64%), while in 2023, the 15-59 years age group had the highest positive rate (32.97%). The positive rate of any virus in winter was the highest in 2018-2019 (53.21%) and 2020-2022 (17.58%), and the highest in autumn was in 2023 (31.53%). The peak positive rate of respiratory syncytial virus was in winter of 2018-2019 and 2020-2022, as well as the summer of 2023.The positive rates of influenza virus in 2018-2019, 2020-2022 and 2023 were 9.84%, 1.55% and 9.71%, respectively. Conclusions:The pathogen epidemic characteristics of inpatients with acute respiratory infection in Pudong New Area from 2018 to 2023 have shown certain changes. It is necessary to strengthen monitoring. Targeted prevention and control strategies should be developed and implemented in a timely manner.

To summarize the perioperative nursing experience of a premature infant with ABO hemolytic disease who underwent resection of giant Altman type Ⅰ sacrococcygeal teratoma at 43 hours after birth.Key points of preoperative nursing care include the cooperative blood transfusion to correct anemia,and the protection of tumor body,the prevention of rupture and bleeding.Key points of intraoperative nursing care include the personalized postural safety management,the target-oriented fluid therapy to maintain circulation stability,and composite insulation measures to prevent hypothermia.Key points of postoperative nursing care include sequential fluid replenishment to treat neonatal capillary leakage syndrome;protective ventilation strategies to maintain effective breathing;precision wound care,prevention and control of postoperative infection;progressive mixed feeding;to empower family members and improve the quality of continuous rehabilitation.After careful treatment and nursing care,the patient was discharged 18 days after surgery.During the 7-month follow-up,the growth and development were normal.

Objective To understand the experience of fall alertness in elderly patients with rheumatoid arthritis and to provide references for the development of targeted nursing intervention strategies.Methods 13 elderly patients with rheumatoid arthritis,who were admitted to the Department of Rheumatology and Immunology of a tertiary hospital in Guizhou Province from February to April 2024,were selected through purposive sampling.Phenomenological qualitative research methods were used,with semi-structured in-depth interviews.Data were analyzed using Colaizzi's seven-step method,and themes were extracted.Results 3 main themes and 9 sub-themes were identified:the process of fall risk perception(reshaping fall risk cognition,establishing emotional coping mechanism,enhancing fall alertness effect),behavioral responses to fall alertness(creating a safe living environment,regularizing daily routine plan),and needs for fall prevention support(need for fall prevention knowledge,home rehabilitation care needs,intelligent device usage needs,psychosocial support needs).Conclusion Clinical medical staff should pay attention to the transformation process of fall risk perception in elderly rheumatoid arthritis patients,accurately identify patients'fall support needs in practice,and guide patients to adopt appropriate fall alert response behaviors through innovative fall demand support interaction paths and the construction of social support network systems,in order to improve patients'fall alertness and reduce their fall risk.