Digital medical insurance governance， as an important component of digital transformation， improves the efficiency of medical insurance services while facing complex ethical challenges. Taking stakeholder theory as the analytical framework， this paper explored the generative mechanisms， manifestations， and countermeasures of ethical issues in digital medical insurance governance. This study uncovered that accelerated technological iteration and lagging ethical and legal norms， as well as interest conflicts among multiple participants in governance， constituted the major causes of ethical issues. These issues specifically manifested as data privacy leakage， unfair algorithmic decision-making， widening digital divide， ambiguous accountability， and other aspects. To address these issues， this paper put forward systematic countermeasures， such as establishing a dynamic ethical and legal regulatory system， balancing the demands of stakeholders， strengthening technological ethical governance， narrowing the digital divide， and enhancing accountability mechanisms. Through the implementation of multi-dimensional governance strategies， it aimed to balance technological innovation and ethical constraints， advance the inclusiveness， fairness， and sustainable development of digital medical insurance， and provide theoretical reference and practical references for improving China’s digital medical insurance governance system.

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

On the basis of that the fluorescence wavelength of copper nanoclusters(CuNCs)could cover the entire visible region,multicolor fluorescent CuNCs/starch composites were prepared and applied in fingermark development.With L-glutathione as the reducing agent and protective ligand,blue emissive and orange emissive CuNCs solutions were obtained in alkaline solutions at 90℃and 25℃,respectively.With the aggregation-induced emission effect induced by ethanol as a poor solvent,the fluorescence of orange emissive CuNCs with a higher intensity was achieved in an ethanol-water solution.With ascorbic acid as the reducing agent and 3-mercaptopropionic acid as the protective agent,green emissive CuNCs solution was prepared in an acid solution.Particle morphologies,chemical compositions and optical properties of these three CuNCs above were investigated using physical characterization and spectroscopic analysis,indicating that well-dispersed CuNCs had excellent photoluminescent properties.These CuNCs solutions were combined with starch to form composite powders by simply drying.The influences of the type of CuNCs and the ratio of CuNCs to starch on the emission wavelength and fluorescence intensity of the products were studied.The obtained CuNCs/starch composites could emit blue,green and orange fluorescence under 365 nm ultraviolet light,respectively,which were suitable for fingermark development.Minutiae and partial level-3 features of latent fingermarks could be effectively developed.High-quality fluorescence fingermark images would be captured using appropriate optical filters to eliminate background interference of various substrates.

Objective:To investigate the effects and mechanism of Jianpi Yangzheng Xiaozheng Prescription in lung pre-metastatic niche formation of gastric cancer by regulating the content of programmed death receptor ligand 1 (PD-L1) in gastric cancer exosomes.Methods:Totally 30 615 mice were divided into normal group, model group, Jianpi Yangzheng Xiaozheng Prescription low- and high-dosage groups, and exosome inhibitor group according to random number table method, with 6 mice in each group. The mouse model of lung pre-metastatic niche formation of gastric cancer was established by tail vein injection of MFC cells. After 12 days of administration, the lung metastasis under the intervention of Jianpi Yangzheng Xiaozheng Prescription was evaluated by observing the infiltration of tumor into lung tissue, weighing lung weight and hematoxylin-eosin (HE) staining of lung tissue. Mouse serum exosomes were extracted by ExoQuick kit and identified by transmission electron microscopy and nanoparticle tracking analysis (NTA). The content of PD-L1 in serum exosomes and the expression levels of serum transforming growth factor-β (TGF-β), interleukin-10 (IL-10) and interleukin-6 (IL-6) were detected by enzyme-linked immunosorbent assay (ELISA). Immunofluorescence was used to detect the phenotype of myeloid-derived suppressor cells (MDSC) and tumor-associated macrophages (TAM) and the expression of PD-L1 in MDSC and TAM.Results:Compared with the model group, after the intervention of Jianpi Yangzheng Xiaozheng Prescription, the lung metastases of mice were reduced ( P<0.05), and the weight of metastatic tumors decreased ( P<0.05). PD-L1 in serum exosomes and the proportion of MDSC and M2 TAM in lung tissue microenvironment decreased, as well as the expression of PD-L1 on MDSC and TAM decreased ( P<0.05). The serum levels of IL-10 and IL-6 significantly decreased ( P<0.05). Conclusion:Jianpi Yangzheng Xiaozheng Prescription can reduce the proportion of MDSC and M2 TAM and the expression level of PD-L1 in the microenvironment of lung tissue before metastasis by inhibiting the transmission of gastric cancer exosome PD-L1 to MDSC and TAM, and reduce the contents of inflammatory factorsIL-10 and IL-6, so as to play a role in improving the microenvironment before lung metastasis of gastric cancer.

The reform of payment based on disease diagnosis related grouping (DRG) is an important measure to deepen the medical security system. Its implementation will have a profound impact on the operation and management of public TCM hospitals from four aspects: medical service efficiency, cost, quality, and medical resource allocation. At the same time, there are also difficulties in reform, such as the contradiction between personalized diagnosis and treatment in TCM and standardized payment in DRG 2.0, compatibility issues between TCM medical record data and DRG 2.0 grouping system, limitations of special case negotiation mechanism, and difficulty in cost control and accounting. In response, this study formulated targeted strategies and recommendations intended to facilitate the effective implementation of the DRG 2.0 payment system, and bolster the operational and administrative efficacy of public TCM hospitals, culminating in a favorable scenario of tripartite synergy among "healthcare providers, insurers, and patients".

Objective To explore the effect of sugammadex on safety indicators such as body movement,choking,peak airway pressure during spinal surgery with motor evoked potential monitoring.Methods This study was a ret-rospective analysis of two randomized controlled trials.Patients undergoing selective thoracic and lumbar spinal sur-gery with intraoperative motor evoked potential monitoring were included.Rocuronium was continuously infused and the train-of-four stimulation count was maintained at 2.When motor evoked potential monitoring started,stop rocu-ronium infusion and 2 mg/kg of sugammadex was given.Indicators were compared between administration of sugam-madex and 5,10,20,30,60 minutes after administration like body movement,choking,peak airway pressure,allergic reaction,mean arterial pressure,heart rate,end expiratory pressure of CO2 and the train-of-four stimulation ratio(TOFr).Results A total of 120 patients were finally included in the analysis.Before administering sugammadex,TOFr was 0.2.At 5,10,20,30 and 60 minutes after administration,TOFr were 0.8,0.8,0.9,0.9,0.9 respectively.No patient experienced intraoperative body movement,choking,or allergy reaction.Compared with the time of sugamma-dex administration,heart rate was significantly reduced 5,10,20,30 and 60 minutes after administration(P＜0.05),there was no significant change in the remaining indicators.Conclusions Sugammadex can be safely used during spinal surgery with motor evoked potential monitoring.

Heat stroke is a heat-related illness caused by an imbalance between the body's heat production and heat dissipation,which could lead to multiple organ dysfunction syndrome with a high mortality rate.Rapid and effective reduction of core body temperature is key to successful treatment.This article reviews recent progress in the treatment of heat stroke,including new understandings of organ injury mechanisms,the timing,velocity and goals of cooling treatment,evaluation and selection of traditional cooling techniques(such as cold water immersion),and scientific evaluation of new cooling technologies(such as blood purification technology and intravascular heat exchange cooling technology),aiming to promote understanding and treatment of heat stroke.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

Hepatocellular carcinoma(HCC)expresses abundant glycolytic enzymes and displays comprehensive glucose metabolism reprogramming.Aldolase A(ALDOA)plays a prominent role in glycolysis;however,little is known about its role in HCC development.In the present study,we aim to explore how ALDOA is involved in HCC proliferation.HCC proliferation was markedly suppressed both in vitro and in vivo following ALDOA knockout,which is consistent with ALDOA overexpression encouraging HCC prolifera-tion.Mechanistically,ALDOA knockout partially limits the glycolytic flux in HCC cells.Meanwhile,ALDOA translocated to nuclei and directly interacted with c-Jun to facilitate its Thr93 phosphorylation by P21-activated protein kinase;ALDOA knockout markedly diminished c-Jun Thr93 phosphorylation and then dampened c-Jun transcription function.A crucial site Y364 mutation in ALDOA disrupted its interaction with c-Jun,and Y364S ALDOA expression failed to rescue cell proliferation in ALDOA deletion cells.In HCC patients,the expression level of ALDOA was correlated with the phosphorylation level of c-Jun(Thr93)and poor prognosis.Remarkably,hepatic ALDOA was significantly upregulated in the promotion and progression stages of diethylnitrosamine-induced HCC models,and the knockdown of Aldoa strikingly decreased HCC development in vivo.Our study demonstrated that ALDOA is a vital driver for HCC development by activating c-Jun-mediated oncogene transcription,opening additional avenues for anti-cancer therapies.

In clinical practice,common comorbid states between the gastrointestinal and gynecological systems present significant challenges.The strengths of TCM lie in its"treating different diseases with the same therapy"approach using classical prescriptions.In modern medicine,patients with comorbidities are often treated by different departments,and there are differences in the intervention strategies for digestive system and gynecological system diseases.TCM can treat different diseases with the idea of treating different diseases with the same therapy,grasp the core link of the problem,and simplify the treatment.During the clinical apprenticeship,the authors observed that according to the patients'spleen stomach gynecology comorbidity,the treatment can be carried out from Jueyin,which can achieve good efficacy.According to the physiological functions of Jueyin Meridian and Zang-fu organs,starting from the Jueyin failing to close,this article discussed the changes of pathogenesis caused by too much and too little Jueyin failing to close,and used the classic prescriptions to treat the gastrointestinal-gynecological comorbidities.