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 evaluate the global cancer-associated thromboembolism risk assessment tools based on evidence- based methods， and to provide methodological reference and evidence-based basis for constructing a specific tool in China. METHODS A comprehensive search was conducted on 6 databases， including CNKI， Wanfang data， VIP， CBM， PubMed， and Embase， as well as on the websites of NCCN， ASCO， ESMO and so on with a deadline of June 30， 2022. Furthermore， a supplementary search was conducted in January 2023. The essential characteristics and methodological quality of included risk assessment tools were described and analyzed qualitatively， focusing on comparing each assessment stratification ability. RESULTS Totally 14 risk assessment tools were included in the study， with a sample size of 208-18 956 cases and an average age distribution of 53.1-74.0 years. The applicable population included outpatient cancer student@sina.com patients， lymphoma patients， and multiple myeloma patients，etc. The common predictive factors were body mass index， venous thromboembolism history， and tumor site. All tools had undergone methodological validation， with 9 presented in a weighted scoring format. Only seven tools were used simultaneously for specificity， sensitivity， negative predictive value （NPV）， positive predictive value （PPV） and area under the curve （AUC） or C statistical analysis. CONCLUSIONS The risk of bias in constructing existing tools is high， and the heterogeneity of tool validation results is significant. The overall methodological quality must be improved， and its risk stratification ability must also be investigated. There are still certain limitations in clinical practice in China.

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.

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.

This article presents a case of acute ST-segment elevation myocardial infarction (STEMI) in a pregnant woman caused by coronary artery dissection. The 41-year-old patient had undergone cardiac valve surgery at the age of 1 and had no risk factors such as hypertension, diabetes, smoking, alcohol use, or a family history of coronary artery disease. At 31 +1 weeks of gestation, she experienced sudden chest pain for 4 hours and was emergently referred to Peking University First Hospital on June 1, 2021. Electrocardiogram revealed ST-segment elevation in leads I, aVL, and V 2 to V 6. Biochemical assays showed elevated levels of high-sensitivity cardiac troponin I and creatine kinase-MB. Echocardiography indicated segmental ventricular wall motion abnormalities (apical) and reduced left ventricular function, confirming the diagnosis of acute anterior wall STEMI. The patient promptly underwent emergency coronary angiography and percutaneous coronary intervention and confirmed coronary artery dissection. Postoperative care included antiplatelet, anticoagulation, and supportive treatment. At 34 +3 weeks of gestation, with the condition of acute anterior wall STEMI being relatively stable, a cesarean section was successfully performed. Regular cardiology follow-ups were scheduled postpartum, and cardiac function was normal in two years after discharge.

Objective To evaluate the clinical outcome of kidney transplantation from donation after brain death(DBD)donors complicated with acute kidney injury(AKI).Methods Clinical data of 216 DBD donors were retrospectively analyzed,and they were divided into the AKI group(n=69)and control group(n=147)according to the Kidney Disease:Improving Global Outcomes(KDIGO)guidelines.Donors in the AKI group were further divided into the KDIGO stage 1 and stage 2-3 subgroups.One hundred and thirty-five recipients were assigned into the AKI group and 288 recipients in the control group.Postoperative recovery of renal function and clinical outcomes of the recipients were recorded.The risk factors of delayed graft function(DGF)were identified.Results The highest serum creatinine(Scr)level,Scr level before procurement,the highest blood sodium level and blood sodium level before procurement in the AKI group were higher than those in the control group.The application duration of vasopressors in the AKI group was longer than that in the control group.In the AKI group,the amount of fluid resuscitation within 48 h was higher,the HCO3-level at admission was lower,and the incidence of diabetes insipidus and hypotension was higher than those in the control group.The highest Scr level and the Scr level before procurement in KDIGO stage 2-3 donors were significantly higher than those in KDIGO stage 1 counterparts(all P＜0.05).Compared with the control group,the incidence of DGF and acute rejection was higher,the proportion of continuous renal replacement therapy was higher,the Scr level within postoperative 90 d was higher,and the urine amount within postoperative 3 d was less than those of recipients in the AKI group.Compared with KDIGO stage 1 recipients,KDIGO stage 2-3 recipients had higher Scr levels at postoperative 3,4,5 and 15 d,and less urine amount at postoperative 2 d(all P＜0.05).Univariate analysis showed that donor age,the highest Scr level,the highest blood sodium level and the amount of fluid resuscitation within 48 h were the risk factors for DGF in recipients after kidney transplantation.Multivariate analysis showed that donor age was the independent risk factor for DGF in recipients after kidney transplantation(all P＜0.05).Conclusions For the application of DBD donors complicated with AKI,active organ maintenance should be performed to alleviate AKI.It exerts no effect upon graft function and survival rate at postoperative 6 months,which may achieve equivalent efficacy as non-AKI donors and may be used as a source of extended criteria donor kidneys.

ObjectiveRapid and accurate identification of body fluid traces at crime scenes is crucial for case investigation. Leveraging the speed and sensitivity of nucleic acid detection technology based on SHERLOCK, our research focuses on developing a peripheral blood SHERLOCK-HBA detection system to detect mRNA in forensic practice. MethodsShort crRNA fragments targeting the blood-specific mRNA gene HBA were designed and screened, alongside RPA primers. Optimal RPA primers were selected based on specificity and amplification efficiency, leading to the establishment of the RPA system. The most efficient crRNA was chosen based on relative fluorescence units (RFU) generated by the Cas protein reaction, and the Cas protein reaction system was constructed to establish the SHERLOCK-HBA detection method. The RPA and Cas protein reaction systems in the SHERLOCK detection system were then individually optimized. A total of 79 samples of five body fluids were tested to evaluate the method’s ability to identify blood, with further verification through species-specific tests, sensitivity tests, mixed spots detection, aged samples, UV-irradiated samples, and actual casework samples. ResultsThe SHERLOCK reaction system for the peripheral blood-specific marker HBA was successfully established and optimized, enabling detection within 30 min. The method demonstrated a detection limit of 0.001 ng total RNA, better than FOB strip method and comparable to RT-PCR capillary electrophoresis. The system could detect target body fluids in mixed samples and identify blood in samples stored at room temperature for three years and exposed to UV radiation for 32 h. Detection of 11 casework samples showed performance comparable to RT-PCR capillary electrophoresis. ConclusionThis study presents a CRISPR/Cas-based SHERLOCK-HBA detection system capable of accurately, sensitively, and rapidly identifying blood samples. Introducing CRISPR/Cas technology to forensic body fluid identification represents a significant advancement in applying cutting-edge molecular biology techniques to forensic science.The method’s simplicity, shorter detection time, and independence from specialized equipment make it promising for rapid blood sample identification in forensic cases.

Rare diseases still lack effective treatments, and the development of drugs for rare diseases (known as orphan drugs) is an urgent medical problem. As natural active ingredients in living organisms, some biomacromolecule drugs have good biocompatibility, low immunogenicity, and high targeting. They have become one of the most promising fields in drug research and development in the 21st century. However, there are still many obstacles in terms of in vivo delivery. In view of the unique advantages of nanocarriers prepared from polymers, lipids, organic biomimetic and inorganic materials in drug delivery, researchers are committed to building an efficient delivery system with versatility and synergy to solve the bottleneck issues in treating rare diseases with biomacromolecule drugs. Therefore, this article reviews the research progress of nanocarrier delivering proteins, peptides and nucleic acids in the field of rare disease treatment in the past ten years, which provides ideas for researches on biomacromolecule drug nanosystems in the field of treatment of rare diseases.