OBJECTIVE To ensure the safety of patients’ drug use and control the risk of medical insurance expenditure by upgrading the pre-prescription review system to conduct pre-review on prescriptions from internet hospitals and external prescriptions， as well as to review the payment methods of drugs （including in-hospital and external drug dispensing）. METHODS The data interfaces of prescriptions from internet hospitals and external prescriptions were integrated to achieve real-time rational drug use intervention. Additionally， an intelligent review project for payment method was added to precisely intervene in the medical insurance payment methods of drugs. The effect of the system upgrade was evaluated by comparing the qualification rates of prescriptions from internet hospitals and external prescriptions and the suspected amounts of drug violations from January to April 2025 （before the system upgrade） and May to August 2025 （after the system upgrade）. RESULTS After the upgrade of the pre-prescription review system， the qualification rates of prescriptions from internet hospitals and external prescriptions increased by 3.5% [95% confidence interval （CI）＝0.3%-6.7%， P ＝0.037 ] ； the suspected amounts of drug violations decreased to 52.9% of the pre-upgrade level （95%CI＝31.6%-88.5%， P ＝0.026）， and the average monthly sequential decrease was 29.5% （95%CI＝12.2%-43.4%， P ＝0.012）. Moreover， the addition of the intelligent review project for payment methods promoted the management of off-label drug use in our hospital. After the upgrade， a total of 79 filling valid applications for off-label drug use were received and archived. CONCLUSIONS The upgrade of the pre-prescription review system effectively improves the review qualification rates of prescriptions from internet hospitals and external prescriptions and the accuracy of medical insurance payment for drugs， and strengthens the supervision of off-label drug use， achieving dual guarantees of clinical rationality and medical insurance compliance.

ObjectiveTo analyze the comorbidity patterns of chronic metabolic diseases and their influencing factors among residents aged 35‒75 years old in Nantong City of Jiangsu Province, and to provide theoretical support for the prevention and control of comorbidities. MethodsThe permanent residents aged 35‒75 years from the Comprehensive Prevention and Control Project of Cardiovascular and Cerebrovascular Diseases in Nantong City from 2021 to 2024 were selected as the research subjects. Clustering analysis and association rule were used to investigate the comorbidity patterns of chronic metabolic diseases, and their influencing factors were identified through logistic regression analyses. ResultsThe prevalence of comorbidity of chronic metabolic diseases among residents aged 35‒75 years in Nantong City was 47.40%. Among comorbidity patterns based on disease counts, the prevalence of hypertension+dyslipidemia was highest in binary comorbidity patterns (6.25%), while that of hypertension+dyslipidemia+obesity was highest in ternary comorbidity patterns (4.01%). Association rules showed that in both binary and ternary comorbidity patterns, the confidence level was highest for obesity+hypertension (72.70%) and obesity+dyslipidemia+hypertension (74.54%). Renal insufficiency formed an independent cluster in cluster analyses. Logistic regression analyses revealed that, compared with the non-comorbidity group, males (OR=2.22, 95%CI: 1.69‒2.91), advanced age (45‒54 years, OR=1.38, 95%CI: 1.02‒1.88; 55‒64 years, OR=1.59, 95%CI: 1.14‒2.23; 65‒75 years, OR=2.34, 95%CI: 1.58‒3.47), and low physical activity (OR=1.26, 95%CI: 1.10‒1.65) were influencing factors for metabolic disease comorbidity. ConclusionIn the comorbidity patterns of chronic metabolic diseases among residents aged 35‒75 years in Nantong City, hypertension, diabetes mellitus, and dyslipidemia interact with each other. Individuals with obesity are more prone to diseases such as hypertension and dyslipidemia. Prevention and control of chronic metabolic diseases should be strengthened for males, individuals with low physical activity and advanced age.

OBJECTIVE To compare the efficacy and prognosis between dapagliflozin and empagliflozin in elderly patients with heart failure （HF） complicated by cardiac pacemaker implantation.METHODS The clinical data of 237 elderly patients with HF complicated by cardiac pacemaker implantation， who were admitted to the Department of Cardiovascular Medicine at the First Affiliated Hospital of Nanyang Medical College from July 1， 2023， to January 1， 2025， were retrospectively collected. According to medication use， the patients were divided into the control group （conventional therapy， n ＝90）， dapagliflozin group （conventional therapy plus dapagliflozin， n ＝77）， and empagliflozin group （conventional therapy plus empagliflozin， n ＝70）. Cardiac function and HF-related indicators were evaluated before treatment and after 6 months of treatment among the 3 groups. The incidence of major adverse cardiovascular events （MACE）， HF rehospitalization rate， and the occurance of adverse reaction were compared among the 3 groups.RESULTS After 6 months of treatment， compared with the same group before treatment， left ventricular ejection fraction was significantly increased， 6-minute walk distance was significantly prolonged， left ventricular end-diastolic diameter and left ventricular end-systolic diameter were significantly shortened， and N-terminal pro-B-type natriuretic peptide and high-sensitivity C-reactive protein levels were significantly decreased in all 3 groups （ P ＜0.05）. The improvements in most of the above indicators were greater in the dapagliflozin and empagliflozin groups than in the control group （ P ＜0.05）， and were all greater in the empagliflozin group than in the dapagliflozin group （ P ＜0.05）. The HF rehospitalization rate was significantly lower in both dapagliflozin and empagliflozin groups than in the control group （ P ＜0.05）， and was significantly lower in the empagliflozin group than in the dapagliflozin group （ P ＜0.05）. There was no statistically significant difference in the incidence of MACE among the 3 groups （ P ＞0.05）， although the incidence was numerically lower in the dapagliflozin and empagliflozin groups than in the control group. There was also no statistically significant difference in the incidence of adverse reactions among the 3 groups （ P ＞0.05）.CONCLUSIONS Both dapagliflozin and empagliflozin can improve cardiac function and HF-related indicators and reduce the risk of HF rehospitalization in elderly patients with HF complicated by cardiac pacemaker implantation on the basis of conventional therapy， without increasing the risk of adverse reactions. Compared with dapagliflozin， empagliflozin shows more pronounced effects.

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 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.

Objective To explore the pathogenesis of Alzheimer's disease by examining the effects of dihydroartemisinin(DHA)on cognitive behavior,hippocampal,cerebral cortex and retinal cell morphology,β-amyloid(Aβ)and autophagy-related proteins in 5×FAD mice.Methods Twenty 5×FAD mice and 5 wild type(WT)mice were selected,all of which were female.The 5×FAD mice were randomly divided into model(M)group,donepezil(D)group,low-dose DHA(DHA-L)group,and high-dose DHA(DHA-H)group.The WT and M groups were not treated,and the D group was given donepezil 0.1 mg/kg per day.DHA-L group and DHA-H group were given 10 mg/kg and 20 mg/kg DHA per day,respectively.Group D,group DHA-L and group DHA-H were given intragastric administration once a day for 3 months.The changes of in cognitive behavior were measured by Morris experiment.HE staining was used to observe the arrangement and morphology of nerve cells in cerebral cortex,hippocampus and retina.The expressions of Aβ protein in cerebral cortex,hippocampus and retina were detected by immunohistochemistry.Western blotting detected the expression of autophagy related proteins(LC3-Ⅰ,LC3-Ⅱ,Beclin-1,P62,β-actin).Results The DHA-H group and the D group exhibited more frequent adoption of both linear and trending exploration routes.Compared to the model group,significant differences in the contents of Aβ in the hippocampal CA1,cerebral cortex S1,and retinal were observed(P＜0.0001)in the other four groups.The analysis also showed significant differences in autophagy-associated proteins between the DHA-L,DHA-H,and model groups(P＜0.01).Conclusion DHA improves cognitive function and increases the number of nerve cells in mice.It also reduces Aβ content in the cerebral cortex,hippocampus,and retina,along with improving autophagy-associated protein deposition in mice.

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.

Objective:The aims of this study were to compare the clinical effectiveness of an immunosuppressant(sintilimab)combined with different chemotherapy regimens(two-and three-drug regimens)in the neoadjuvant treatment of advanced gastric cancer and to explore the efficacy-associated clinical features.Methods:A retrospective analysis was conducted on patients with advanced gastric cancer who re-ceived treatment at Lanzhou University Second Hospital between August 2020 and February 2024.Overall,133 patients were included in the study and assigned into groups A(three-drug regimens)and B(two-drug regimens),according to the treatment regimen received.Recent ef-ficacy outcomes,including the pathological complete response rate(pCR),major pathological response rate(MPR),objective response rate(ORR),and disease control rate(DCR),as well as long-term efficacy outcomes,including overall survival(OS)and disease-free survival(DFS),were compared.Subgroup analyses were performed to identify clinical features associated with treatment efficacy.Results:The recent effic-acy outcomes were similar between groups A(two-drug regimen)and B(three-drug regimen),with pCRs of 18.46%and 27.94%,MPRs of 52.31%and 58.82%,ORRs of 76.92%and 76.47%,and DCRs of 87.69%and 95.59%,respectively.However,the three-drug regimen led to significantly improved OS and DFS,compared with the two-drug regimen(P<0.05).Subgroup analysis revealed that male patients and those with gastric antrum cancer,an ECOG score of 0,a T4 stage tumor,and no vascular or nerve invasion benefited more from the three-drug re-gimen.Conclusions:Sintilimab combined with the three-drug chemotherapy regimen demonstrated superior long-term efficacy in the neo-adjuvant treatment of advanced gastric cancer,compared with the combination with the two-drug regimen.Certain clinical features may predict greater benefit from the three-drug regimen.