ObjectiveThis paper aims to observe the syndrome improvement and negative antigen conversion rate of Qingxuan Daozhi formula in the treatment of influenza in children （heat accumulation in the lung and stomach syndrome）. MethodsThrough a multi-center randomized controlled methodology design，confirmed influenza cases were collected from October 2022 to April 2023 in the pediatrics department of eight hospitals，such as Dongfang Hospital of Beijing University of Chinese Medicine. A total of 180 children with influenza and heat accumulation in the lung and stomach syndrome conforming to the standard were recruited through the clinic. The sick children meeting the inclusion criteria were randomly divided into groups by a block-randomized method. The children in the experimental group were treated with Qingxuan Daozhi formula for five days，and those in the control group were treated with Oseltamivir Phosphate Granules for five days. The primary efficacy indicator was the negative conversion rate of influenza antigen detection. Secondary efficacy indicators were the Canadian acute respiratory illness and flu scale （CARIFS） and the incidence of complications，severe cases， and critical cases. Follow-up observation was conducted on the day of enrollment，48 hours after medication，72 hours after medication， and （6+1） d after medication. ResultsOne hundred and eighty participants were randomly assigned to the experimental group （90 cases） or the control group （90 cases）. All participants were followed up during the study. Comparison of influenza antigen detection results in the primary efficacy indicators showed that the average time of negative influenza antigen conversion in the experimental group was （5.29±1.25） d，and that in the control group was （5.40±1.68） d，without a statistically significant difference. After five days of intervention，52 cases in the experimental group and 51 cases in the control group converted to negative，without a statistically significant difference. CARIFS score results in the secondary efficacy indicators showed that during 72 hours after intervention，there were statistically significant differences between the experimental group and the control group in three dimensions， including headache，muscle soreness， and the need for extra care （P<0.05）. On the （6+1） days after the intervention，the differences in both the experimental group and the control group were statistically significant in 10 dimensions， including sore throat，bad sleep，uncomfortable feeling，poor spirit and fatigue，crying more than usual，the need for extra care，symptom，function，influence on parents，and total score （P<0.05）. The comparison results within the group in the dimensional scores of symptom， function， and influence on parents，as well as the CARIFS total score showed that with the delay of follow-up time，scores of both groups decreased significantly，with a statistically significant difference （P<0.01）. Inter-group comparison results showed that the mean score of the experimental group was higher than that of the control group at the time of enrollment. With the progress of intervention，the score of the experimental group was significantly decreased compared with that of the control group. At the end of follow-up，the mean score of the experimental group was lower than that of the control group，with no statistically significant difference. In terms of the incidence of complications，severe cases， and critical cases， there were no complications，severe cases， and critical cases in the two groups，without a statistically significant difference. ConclusionThe symptom improvement effect and negative antigen conversion rate of Qingxuan Daozhi formula in the treatment of influenza in children （heat accumulation in the lung and stomach syndrome） are not inferior to Oseltamivir Phosphate granules， and children's acceptance is better. It can be more widely used in clinical treatment of influenza in children （heat accumulation in the lung and stomach syndrome）.

Objective: To investigate the factors influencing the co-prevalence of allergic rhinitis and obesity among primary and secondary school students in Inner Mongolia, so as to provide a data foundation and theoretical basis for developing targeted intervention measures. Methods: In September and October 2024, a stratified cluster random sampling method was employed to select 139 102 students from 539 schools across 12 leagues/cities and 103 banners/counties in Inner Mongolia Autonomous Region. Participants who were diagnosed with allergic rhinitis by a doctor at least once within one year and had a body mass index ≥ 28 kg/m 2 were considered to have comorbid conditions. Results: The coprevalence rate of allergic rhinitis and obesity among primary and secondary school students in Inner Mongolia was 6.4% (8 931 cases). Lasso-Logistic regression revealed that nonboarding status, higher maternal education, consuming high protein foods ≥1 time daily, occasionally or never eating breakfast, engaging in moderate to vigorous physical activity for ≥60 minutes on fewer than half of holidays, and having been exposed to second hand smoke in person within the past seven days were associated with higher odds ratios for co-prevalence of allergic rhinitis and obesity( OR = 1.23 , 1.22-1.63, 1.20, 1.19, 1.38, 1.35); being female, higher grade level, residence in flag/county/district areas, non only child status, never having consumed a full glass of alcohol, non hypertensive status, and households without pets were associated with lower co-prevalence risks ( OR =0.65, 0.67-0.77, 0.81, 0.87, 0.73, 0.41, 0.68) (all P <0.05). The ROC curve indicated an area under the curve of 0.64 for the predictive model, demonstrating satisfactory discriminatory ability. The calibration curve showed consistency between predicted and actual occurrence probabilities. Conclusions The co-prevalence of allergic rhinitis and obesity among primary and secondary school students in Inner Mongolia is closely associated with demographic characteristics, dietary behaviours, and lifestyle habits. Future prevention and control strategies should prioritize these factors to implement targeted interventions.

Objective To explore the predictive performance of machine learning models integrating clinico-pathological features and inflammatory markers for lymphovascular invasion (LVI) before gastric cancer surgery. Methods A retrospective cohort of 193 gastric cancer patients from The First Hospital of Lanzhou University (training set) and 185 patients from Zhongshan Hospital, Fudan University (validation set) was included. Preoperative clinical pathological characteristics, tumor markers, and inflammatory markers were collected to identify independent risk factors for LVI. Six machine learning models were established in the training set. Model performance was evaluated using area under the receiver operating characteristic (ROC) curve (AUC), calibration curve, decision curve analysis (DCA), and Brier scores. Shapley additive explanations (SHAP) was applied for model interpretability. Results The multivariate logistic regression showed increased tumor invasion depth (T-stage), lymph node metastases (N-stage), and the systemic immune-inflammation index (SII) were independent risk factors for gastric cancer LVI (P＜0.05). Using these three indicators, 6 machine learning models were developed, all of which demonstrated favorable predictive performance, with 0.79 and 0.76 of minimum AUC values in the training set and the validation set, respectively. Among them, the light gradient boosting machine (LightGBM) model exhibited the best overall performance, achieving AUCs of 0.83 and 0.82 in the training set and the validation set, along with Brier scores of 0.163 and 0.187, respectively. Calibration and DCA curves further confirmed that the model possesses strong predictive accuracy and application value. SHAP analysis showed the feature importance in LightGBM model, identifying the N-stage as the top contributor, followed by the T-stage and the SII. Conclusion The machine learning models incorporating clinical pathological features and inflammatory indicators can effectively predict LVI status in gastric cancer, with the LightGBM model demonstrating optimal performance.

Objective To explore the feasibility of magnetic compression technique (MCR) in the treatment of severe single mid-ureteral stricture in a rabbit model. Methods After 10 female New Zealand rabbits were selected, the distal end of the right ureter was ligated with silk thread. Two weeks after the operation, when the right ureter was dilated, the mid-ureter was ligated again with silk thread to create a severe single mid-ureteral stricture animal model. Longitudinal incisions were made at the upper and lower ends of the ligation site, and cylindrical NdFeB magnets with central holes (sub-magnets and main magnets) were placed to anastomose and recanalize the mid-ureteral stricture. The magnets were adjusted to the appropriate position to automatically align and attract each other. The longitudinal incision sites of the ureter were sutured with 6-0 Prolene thread, and the abdominal cavity was closed layer by layer. The operation time was recorded. X-ray films were taken every two days to confirm the position of the magnets and record the time of magnet detachment. Three weeks after the operation, the anastomotic specimens were obtained, and the formation of the anastomosis was evaluated with gross observation and histological staining. Results Two weeks after ligation, all experimental rabbits showed obvious dilation of the right ureter. The mid-ureteral ligation and placement of the male and female magnets were successfully completed in all 10 experimental rabbits, with an operation time of (24.00±5.15)minutes. The male and female magnets attracted each other well. X-ray examination showed that the magnets detached and entered the distal ureter (14.0±1.9) days after magnetic compression. The recanalization of the severe single mid-ureteral stricture was successfully achieved. The gross specimens and histological examination of the anastomosis showed that the anastomosis remained patent and the mucosal healing was good. All experimental rabbits survived well after the operation without serious complications. Conclusion MCT provides a new idea and novel method for the treatment of mid-ureteral stricture. This study confirmed the feasibility of this technique in treating severe single mid-ureteral stricture in a rabbit model. The operation is relatively simple and has potential for clinical application.

Phacoemulsification represents the mainstream, efficient, and safe surgical modality for cataract treatment, and continuous technological advances have further improved the safety profile of this procedure in ordinary patients. However, patients with high myopia feature inherent anatomical abnormalities of the eyeball, leading to a fundamental incompatibility with conventional phacoemulsification protocols. Such patients face a markedly elevated risk of both anterior and posterior segment perioperative complications, posing a persistent clinical challenge in cataract surgery. Focusing on the unique ocular anatomical characteristics associated with high myopia, this review systematically summarizes the distinct traumatic effects and pathological impacts of phacoemulsification on the anterior and posterior ocular segments of affected patients. Moving beyond generalized discussions of routine cataract management, it consolidates clinical evidence specific to this special-population patients, aiming to provide refined references for perioperative risk prevention and control in cataract patients complicated with high myopia.

Objective: To investigate the associations of sleep quality and weight stigma with depressive mood among college students, so as to provide evidence for mental health promotion in higher education institutions. Methods: From September to November 2024, a stratified cluster random sampling method was used to survey 4 524 undergraduate students from the first to third year in comprehensive universities across various cities in Inner Mongolia. The χ 2 test was used to compare the detection rates of poor sleep quality, experiences of weight stigma, and depressive mood among students with different characteristics, and multivariate Logistic regression analysis was conducted to examine the independent and combined associations between sleep quality, the number of types of weight stigma experienced, and depressive mood. Results: Among students, the detection rate of poor sleep quality was 21.60%; those with experiences of weight stigma had a detection rate of 11.52%; those with depressive mood had a detection rate of 9.46%. Multivariate Logistic regression analysis showed that, compared with those who had good sleep quality, individuals with poor sleep quality were more likely to experience depressive mood [ OR (95% CI )=2.99(2.41- 3.71 )]; compared with those who had no experience of weight stigma, individuals who experienced ≥2 types of weight stigma were more likely to experience depressive mood [ OR (95% CI )=4.51(2.82-7.22)] (both P <0.01). Multivariate Logistic regression analysis, with "good sleep quality and no weight stigma experience" as the reference group, showed that all other joint groups had a higher likelihood of developing depressive mood, with the highest likelihood observed among students who had poor sleep quality and had experienced ≥2 types of weight stigma [ OR (95% CI )=14.21(6.95-29.06), P <0.01]. Conclusions Poor sleep quality and a greater number of weight stigma types are both associated with depressive mood among college students. Mental health programs in higher education institutions should simultaneously address students sleep problems and weight related adverse experiences, and implement comprehensive interventions.

Objective:Chimeric antigen receptor T-cell(CAR-T)immunotherapy has made major breakthroughs in the treatment of blood tu-mors.However,current CAR-T therapies face several limitations:they require autologous cells,involve a lengthy and costly production pro-cess,and use lentiviral transduction that carry risk of insertional carcinogenesis due to random integration.Therefore,there is an urgent need to develop a universal cost-effective cancer immunotherapy method generating CAR-T cells for in vivo cancer immunotherapy.Meth-ods:This study successfully established an exosome-mediated,T-cell targeted delivery system,demonstrating both precise design and func-tional efficacy for biomedical applications.To optimize CAR-T cell generation the transfection dose was adjusted,and the kinetics of CAR-T cell percentage were recorded.The cytotoxicity of the resulting CAR-T cells was evaluated in vitro by calcein-AM release.To test the tumor-killing in vivo of engineered exosomes,human PBMCs were injected into NPG mice via the tail vein to establish humanized mice,followed by intravenous injection of tumor cells to induce cancer.Results:To overcome the limitations of conditional autologous CAR-T cells,we de-veloped a T cell-targeted exosome system capable of specifically targeting human CD3+,CD4+,and CD8+T cells.CAR-T production was dose-dependent,with transfection efficiency reaching upto 97.8%at 106 particles/cell.Both in vitro cytotoxicity assays and in vivo animal experi-ments demonstrated that exosome-incubated CAR-T cells effectively eliminated CD19-positive Raji cells,highlighting their specificity and therapeutic potential in antigen-directed applications.Conclusions:We successfully established a CD8-targeting exosome delivery system for CAR-T cell production capable of transforming CD8+T cells into functional CAR-T cells,which showed significant tumor-killing ability in vitro and in mice.Compared with the traditional lentiviral vector for the preparation of CAR-T cells in vitro,in vivo-reprogrammed CAR-T cells us-ing our CD8-targeted exosome delivery system,with higher transfection efficiency,shorter production period,lower cost,and eliminated the risk of insertion carcinogenesis.This strategy promises to bring a new era of universal CAR-T medicine,which can improve cancer immuno-therapy and may hold promise as a therapeutic platform to treat various diseases.

Objective:To investigate the association of serum/body fluid heparin-binding protein (HBP) and blood lactate levels with disease severity and their impact on prognosis in intensive care unit (ICU) patients with sepsis.Methods:Clinical data from 100 sepsis patients admitted to Ma'anshan Shiqiye Hospital ICU (January 2023-September 2024) were retrospectively analyzed. According to Sepsis-3.0 criteria, patients were divided into: uncomplicated sepsis (general group, n=28), sepsis with organ failure/hypotension (severe group, n=61), and septic shock (shock group, n=11). Comparisons included serum/body fluid HBP, lactate, APACHE Ⅱ scores, and mortality across severity groups and laboratory parameters between survivors and non-survivors. Logistic regression was used to identify prognostic predictors. Non-normally distributed data were presented as M(Q1,Q3), comparison between groups were completed by Kruskal-Wallis H test and Mann-Whitney U tests. Spearman correlation was used to analyze relationships between biomarkers and APACHE Ⅱ scores. Categorical data were presented as n(%), and comparison between groups were completed by χ2 test or Fisher's exact tests. ROC curves was used to evaluate predictive value. Results:Shock group demonstrated significantly higher serum HBP [13.3 (12.6-16.4) μg/L], infection-site HBP [230.3 (226.3-241.1) μg/L], lactate [5.4 (4.9-5.6) mmol/L], and APACHE Ⅱ[22.0 (21.0-24.0)] than severe group [9.6 (8.9-10.5) μg/L; 208.9 (200.5-216.1) μg/L; 2.7 (2.6-2.8) mmol/L; 18.0 (17.0-19.0)] and general group [7.4 (6.3-8.1) μg/L; 190.6 (180.5-202.1) μg/L; 1.5 (1.4-1.7) mmol/L; 13.0 (12.0-14.0)] (all P<0.001). There was statistically significant difference in the mortality rate during hospita lization among three groups of patients ( χ2=30.49, P<0.001). Mortality was higher in shock group than severe group than general group [72.7% (8/11) vs. 11.5% (7/61) vs. 3.6% (1/28), all P<0.001]. Non-survivors exhibited elevated lactate [4.8 (2.7-5.5) vs. 2.6 (1.7-2.8) mmol/L, Z=-4.13, P=0.001], serum HBP [12.2 (9.2-13.3) vs. 9.3 (7.8-10.4) μg/L, Z=-3.12, P=0.002], and infection-site HBP [226.8 (209.9-237.6) vs. 203.6 (194.0-212.8) μg/L, Z=-4.32, P<0.001] vs. survivors. Serum HBP ( r=0.74), infection-site HBP ( r=0.64), and lactate ( r=0.86) were all positively correlated with APACHE Ⅱ (all P<0.001). After adjusting for age and APACHE Ⅱ, elevated serum HBP ( OR=3.743, 95% CI:1.834-7.640), infection-site HBP ( OR=3.540, 95% CI:1.932-6.486), and lactate ( OR=5.155, 95% CI:1.868-14.229) independently predicted mortality (all P<0.001). Combined biomarker detection showed superior predictive value (AUC=0.909) versus individual markers (serum HBP:0.747, infection-site HBP:0.842, lactate:0.827, all P<0.001). Conclusion:Elevated blood lactate and serum/infection-site HBP levels correlate with sepsis severity and independently predict mortality. The biomarker combination provides optimal prognostic stratification.

The academic literature on near-infrared brain functional imaging in the field of resuscitation medicine published in the Web of Science core collection,MEDLINE and PubMed databases from January 2006 to May 2025 were collected,which underwent statistical and visualized analyses with CiteSpace and VOSviewer software in terms of annual publication trends,authors,countries/regions,institutions,co-cited literature and keyword co-occurrence,clustering and emergence.It was pointed out that the overall number of publications in this research field had been on the rise in the past two decades.Stroke patients were the core research group in this field,and cortical activation mechanisms had always been the focus of research.Motor imagery was a high-frequency research content in this field,and multimodal technology integration was the trend of research in this field.New research ideas and methods were provided for relevent research in the field of rehabilitation medicine in China.

The diagnosis,treatment,and prognosis evaluation of cervical spondylosis are challenging in clinic.Machine learning(ML)models can improve the accuracy and efficiency of cervical spondylosis diagnosis by processing complex clinical data,assist in selecting more precise treatment plans,and evaluate prognosis.Through the domestic and foreign literature review on the application of ML models in cervical spondylosis in recent years,the study classifies and summarizes the relevant models applied in the diagnosis,treatment,and prognosis evaluation of cervical spondylosis,introduces classic algorithms such as random forest,as well as new algorithms such as convolutional neural networks,deep neural networks and long short-term memory networks,aiming to provide reference ML solutions for various stages of cervical spondylosis diagnosis and treatment.