This paper systematically summarizes the practical experience of the 2025 Dingri earthquake emergency medical rescue in Tibet. It analyzes the requirements for earthquake medical rescue under conditions of high-altitude hypoxia, low temperature, and low air pressure. The paper provides a detailed discussion on the strategic layout of earthquake medical rescue at the national level, local government level, and through social participation. It covers the construction of rescue organizational systems, technical systems, material support systems, and information systems. The importance of building rescue teams is emphasized. In high-altitude and cold conditions, rapid response, scientific decision-making, and multi-party collaboration are identified as key elements to enhance rescue efficiency. By optimizing rescue organizational structures, strengthening the development of new equipment, and promoting telemedicine technologies, the precision and effectiveness of medical rescue can be significantly improved, providing important references for future similar disaster rescues.

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

Objective : To analyze the epidemiological characteristics and spatial clustering of brucellosis in Shanxi Province from 2019 to 2023, so as to provide a reference for formulating prevention and control measures of brucellosis. Methods: The case data of brucellosis in Shanxi Province from 2019 to 2023 were collected through the Infectious Disease Surveillance System of the Chinese Disease Prevention and Control Information System. The seasonal distribution, population distribution, and region distribution of brucellosis cases were described. Spatial autocorrelation analysis was applied to explore the spatial clustering characteristics of brucellosis. Results: A total of 21 241 human brucellosis cases were reported in Shanxi Province from 2019 to 2023, with an average annual reported incidence of 11.87/100 000, showing an upward trend (P<0.05). The peak incidence period was from March to August, with 14 163 cases reported cumulatively, accounting for 66.68% of the total. There were 16 336 male cases and 4 905 female cases, with a male-to-female ratio of 3.33:1. The high-incidence age group was 40-<70 years, with 15 675 cases accounting for 73.80%. The majority of patients were farmers, with 17 926 cases accounting for 84.39%. Spatial autocorrelation analysis showed that there was spatial clustering in the incidence of brucellosis from 2019 to 2023 (all Moran's I>0, P<0.05). The high-high clustering areas were mainly Datong City, and Shuozhou City in northern Shanxi, and Linfen City in the southern Shanxi. The low-low clustering areas were mainly Taiyuan City and Yangquan City in central Shanxi, and Changzhi City and Jincheng City in southeastern Shanxi. Conclusions From 2019 to 2023, the reported incidence of brucellosis in Shanxi Province showed an upward trend. The incidence peaked from March to August, and males, middle-aged and elderly people and farmers were the high-risk groups. There was spatial clustering and the high-high clustering areas gradually expanded from northern Shanxi to southern Shanxi.

The high prevalence of childhood caries poses a considerable threat to children's overall health. Traditional Chinese medicine (TCM) concepts offers a distinctive and valuable perspective on caries prevention. This study explores TCM's conceptualization of dental caries in relation to the physiological characteristics of children and proposes targeted preventive strategies, including holistic care, dietary regulation, and lifestyle modification. In addition, the study highlights the role of traditional modalities, such as Chinese herbal medicine, acupuncture, moxibustion, and tuina, in caries prevention, while emphasizing the importance of supporting children's mental health. The integration of TCM with modern medical practices holds promise for advancing research into the prevention and treatment of caries. Furthermore, promoting the overall improvement of children's health.
Dental Caries/prevention & control* ; Humans ; Medicine, Chinese Traditional ; Child ; Acupuncture Therapy ; Moxibustion ; Life Style ; Drugs, Chinese Herbal/therapeutic use*

ObjectiveTo investigate the incidence rate of sarcopenia in patients with Wilson’s disease （WD）-related liver cirrhosis， as well as the risk factors for sarcopenia and their impact on clinical outcomes. MethodsA total of 140 patients with WD-related liver cirrhosis who were treated in The First Affiliated Hospital of Anhui University of Chinese Medicine from January 2019 to June 2020， and according to the third lumbar skeletal muscle mass index （L3 SMI）， the patients were divided into sarcopenia group and non-sarcopenia group. Nutritional risk screening， anthropometric measurements， and blood biochemical tests were performed for the patients to identify the influencing factors for sarcopenia. The patients were followed up for 36 — 48 months， and survival status and complications were compared between the two groups. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the chi-square test and the Mann-Whitney U rank sum test were used for comparison of categorical data between two groups. A binary Logistic regression analysis was used to investigate the influencing factors for sarcopenia， and univariate and multivariate Cox regression analyses were used to investigate the risk factors for the prognosis of patients with WD-related liver cirrhosis. The Kaplan-Meier survival curve was plotted， and the Log-rank test was used for comparison between groups. ResultsAmong the 140 patients with WD-related liver cirrhosis， 53 （37.9%） developed sarcopenia， with significantly lower body mass index （BMI） and L3 SMI than the patients without sarcopenia （t=10.550 and 3.982， both P<0.001）. The multivariate Logistic regression analysis showed that age （odds ratio ［OR］=2.243， 95% confidence interval ［CI］： 1.196 — 4.208， P=0.012）， sex （OR=0.450， 95%CI： 0.232 — 0.872， P=0.018）， BMI （OR=0.126， 95%CI： 0.089 — 0.294， P<0.001）， and hepatic encephalopathy （OR=8.367， 95%CI： 2.423 — 28.897， P<0.001） were the main influencing factors for sarcopenia in patients with WD-related liver cirrhosis. Compared with the non-sarcopenia group， the sarcopenia group had significantly higher mortality rate （χ²=6.158， P=0.019） and significantly higher incidence rates of infection （χ²=8.008， P=0.040）， recurrent abdominal/pleural efflux （χ²=17.742， P<0.001）， and hepatic encephalopathy （χ²=4.338， P=0.039）. The multivariate Cox regression analysis showed that sarcopenia （hazard ratio ［HR］=4.685， P=0.002） and hepatic encephalopathy （HR=19.156， P<0.001） were independent risk factors for death in patients with WD-related liver cirrhosis. The Kaplan-Meier survival curve analysis showed a significant reduction in survival rate in the patients with sarcopenia （P=0.003）. ConclusionSarcopenia is one of the manifestations of malnutrition in patients with WD-related liver cirrhosis， which increases the risk of mortality and other complications and has an adverse effect on prognosis. There is an increased risk of sarcopenia in male patients or patients with hepatic encephalopathy， a lower level of BMI or an older age.

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 investigate the distribution characteristics of body height, body weight and body mass index (BMI) in children aged 3-17 years in China.Methods:Data were obtained from the National Nutrition and Health Systematic Survey in 0-18 years old children in China. The study selected 70 853 children aged 3-17 years from 28 urban and rural survey sites in 14 provinces (autonomous regions and municipalities) in 7 regions of China with multi-stage stratified cluster random sampling. M ( Q1, Q3) was used to describe the region, age and gender specific body height, body weight and BMI in the children aged 3-17 years. Wilcoxon rank sum test was used to compare the body height, body weight, and BMI between boys and girls in same age group. Kruskal-Wallis H rank sum test was used to compare the body height, body weight and BMI among boys in different age groups and among girls in different age groups, as well as among boys in same age group and among girls in same age group from different regions, and DSCF method was used for further pairwise comparisons. Results:In this study, the median body height and body weight were 172.0 cm and 62.9 kg in 17-year-old boys and 160.0 cm and 53.7 kg in 17-year-old girls. The median for children's body height, body weight, and BMI in most age groups were higher in northeastern and northern China than in southern China, and the differences could be observed until age 17 years. The differences in body weight and BMI in children in northeastern and northern China were greater in Q3 than in Q1 compared with southern China. Conclusions:The body height of children aged 3-17 years continues to increase in China. Northeastern and northern China have more children with higher bodyweight, showing an obvious body weight increase trend, to which close attention needs to be paid.

Objective To investigate the toxicokinetic differences of 3,4-methylenedioxy-N-methylamphetamine(MDMA)and its metabolite 4,5-methylene dioxy amphetamine(MDA)in rats af-ter single and continuous administration of MDMA,providing reference data for the forensic identifica-tion of MDMA.Methods A total of 24 rats in the single administration group were randomly divided into 5,10 and 20 mg/kg experimental groups and the control group,with 6 rats in each group.The ex-perimental group was given intraperitoneal injection of MDMA,and the control group was given intraperi-toneal injection of the same volume of normal saline as the experimental group.The amount of 0.5 mL blood was collected from the medial canthus 5 min,30 min,1 h,1.5 h,2 h,4 h,6 h,8 h,10 h,12 h after administration.In the continuous administration group,24 rats were randomly divided into the experi-mental group(18 rats)and the control group(6 rats).The experimental group was given MDMA 7 d by continuous intraperitoneal injection in increments of 5,7,9,11,13,15,17 mg/kg per day,respectively,while the control group was given the same volume of normal saline as the experimental group by in-traperitoneal injection.On the eighth day,the experimental rats were randomly divided into 5,10 and 20 mg/kg dose groups,with 6 rats in each group.MDMA was injected intraperitoneally,and the con-trol group was injected intraperitoneally with the same volume of normal saline as the experimental group.On the eighth day,0.5 mL of blood was taken from the medial canthus 5 min,30 min,1 h,1.5 h,2 h,4 h,6 h,8 h,10 h,12 h after administration.Liquid chromatography-triple quadrupole tandem mass spectrometry was used to detect MDMA and MDA levels,and statistical software was employed for data analysis.Results In the single-administration group,peak concentrations of MDMA and MDA were reached at 5 min and 1 h after administration,respectively,with the largest detection time limit of 12 h.In the continuous administration group,peak concentrations were reached at 30 min and 1.5 h af-ter administration,respectively,with the largest detection time limit of 10 h.Nonlinear fitting equations for the concentration ratio of MDMA and MDA in plasma and administration time in the single-administration group and continuous administration group were as follows:T=10.362C-1.183,R2=0.974 6;T=7.397 3C-0.694,R2=0.961 5(T:injection time;C:concentration ratio of MDMA to MDA in plasma).Conclusions The toxicokinetic data of MDMA and its metabolite MDA in rats,obtained through single and continuous administration,including peak concentration,peak time,detection time limit,and the relationship between concentration ratio and administration time,provide a theoretical and data foundation for relevant forensic identification.

Objective To comapre and analyze the differences and commonalities of expression profiles of serum exosomal microRNA between patients with thyroid nodules and healthy persons at different iodine levels,and then provide evidence for screening early diag-nostic markers of thyroid nodules at different iodine levels.Methods The peripheral blood samples from 10 patients with thyroid nod-ules and healthy volunteers at different iodine levels were collected.Their serum iodine levels were measured by the arsenic cerium cat-alytic spectrophotometry.Serum exosomal microRNA were extracted and the expression levels of microRNA were determined by the high-throughput sequencing technology.The differential target genes were predicted and further performed Gene ontology(GO)analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)analysis.Results Compared with healthy volunteers,there were 6 downreg-ulated miRNAs in the patients with thyroid nodules at different iodine levels,namely miR-324-5p,miR-6511b-3p,miR-9903,miR-550a-3p,miR-5001-3p,and miR-3688-3p.Differentially expressed exosomal microRNA could regulate the MAPK signaling path-way,PI3K-AKT signaling pathway,VEGF signaling pathway,and NF-κB signaling pathway.Conclusion Six differentially expressed microRNAs is identified,which may serve as biological markers for the early diagnosis of thyroid nodules at different iodine levels.