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*

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.

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.

Taking the Ligustrum lucidum extract as an example, this study investigated the influence of external mechanical forces under different processing conditions on the crystallographic solid form and the key parameter of drug dissolution rate, so as to provide guidance for the preparation and quality control of traditional Chinese medicine preparations. Under different pulverization and tableting conditions, the change of crystallographic solid form of L. lucidum extract was observed by polarizing light microscope. Meanwhile, the effect of this change on the dissolution rate was investigated, and the mathematical relationship between crystal content and dissolution rate was analyzed. The results showed that the process of ball milling and tableting had a significant impact on the crystallographic solid form of L. lucidum extract. The amorphous extract displayed crystal transformation, which induced a significant decline in dissolution rate. Further studies revealed that there was a negative linear relationship between crystal content and dissolution rate. The results of this study indicated that the crystallographic solid form transformation of traditional Chinese medicine extracts might occur during the preparation process, which may cause potential risks to the quality of traditional Chinese medicine preparations. It is suggested that we should pay attention to and strengthen the investigation of the crystallographic solid form during the preparation process, so as to guarantee the safety, effectiveness, and quality controllability of traditional Chinese medicine preparations.

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.

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.