The Measures for the Administration of Healthcare Organizations Conducting Investigator-Initiated Trials stipulates that conducting interventional research and observational research that accept additional examinations， tests， diagnostics， and other measures beyond the needs of routine diagnosis and treatment or disease prevention and control， which may pose risks exceeding the minimal risk， must undergo both scientific and ethical reviews. Currently， these two reviews tend to be poorly interfaced and inefficient. This paper analyzed the connections and differences between scientific review and ethical review of investigator-initiated trials （IITs）. It also elaborated the existing issues in the process of interfacing scientific review and ethical review from five aspects， encompassing an immature management system， insufficient awareness of scientific review， failure to understand the different purposes of duplicative review on certain contents， unclear review criteria， and limited professional knowledge and a lack of communication among committee members. Recommendations were proposed from eight dimensions， namely， improving the management system and regulatory measures， coordinating the review time， unifying the document submission checklist， establishing an information system for clinical research management， enhancing training for investigators， providing cross-disciplinary training for committee members， improving the communication mechanisms， and jointly developing the review elements for scientific issues. The aim was to facilitate the efficient interface between scientific review and ethical review for IITs， thereby enhancing the quality and efficiency of IIT management.

As the center of energy metabolism and a key hub of intracellular signal transduction in platelets, platelet mitochondria play a core role in maintaining platelet activation, apoptosis, and functional homeostasis. Mitochondria not only provide approximately 90% of platelet ATP through oxidative phosphorylation (OXPHOS), but also deeply participate in platelet activation, secretion, aggregation, and apoptosis-like programmed death by regulating reactive oxygen species (ROS) generation, mitochondrial membrane potential (ΔΨm), and the opening of the mitochondrial permeability transition pore (mPTP). During platelet storage, mitochondrial dysfunction is a core mechanism underlying platelet storage lesions. Therefore, targeting mitochondrial function protection—such as through supplementation of metabolic substrates, application of mitochondria-targeted antioxidants, or mPTP inhibitors—holds promise as a novel intervention strategy to ameliorate platelet storage lesions, prolong platelet survival in vivo, and reduce adverse transfusion reactions.

Objective To analyze the incidence rate and risk factors of atrial fibrillation (AF) in elderly patients with chronic obstructive pulmonary disease (COPD). Methods A total of 392 patients with COPD in the hospital were selected from December 2020 to December 2024. Patients' data (medical history, echocardiographic data, etc.) were recorded. The incidence rate of AF in patients was recorded and the patients were grouped according to whether or not they developed AF. The differences were compared between the two groups, and the risk factors of AF occurrence in elderly patients with COPD were analyzed. Results Among the 392 patients with COPD, 127 cases (32.40%) met the diagnostic criteria of AF. There were statistically significant differences in age, pulmonary infection, heart failure, diabetes, smoking history, disease duration, LAD, severe renal insufficiency and coronary heart disease between the AF group and the non-AF group (P<0.05). Multivariate logistic regression analysis suggested that age, pulmonary infection, heart failure, diabetes mellitus, smoking history, disease course, LAD, severe renal insufficiency and coronary heart disease were all risk factors for elderly patients with COPD (OR=1.129, 4.246, 3.955, 4.125, 2.038, 1.112, 1.102, 4.397, and 3.865, P<0.05). Conclusion The incidence rate of AF is high in elderly patients with COPD. Age, pulmonary infection, heart failure, diabetes mellitus, smoking history, course of disease, LAD, severe renal insufficiency, and coronary heart disease are all risk factors for AF.

Radiopharmaceuticals play an important role in the diagnosis and treatment of cardiovascular and cerebrovascular diseases， malignant tumors， central nervous system diseases， and other diseases. Under the urgent need for clinical diagnosis and treatment as well as medical development， the clinical research of radiopharmaceuticals has become a hotspot in international research. By analyzing the current situation of clinical research on radiopharmaceuticals in Europe， America， and China， the ethical issues of clinical research on radiopharmaceuticals were elaborated from four aspects， including lack of relevant laws and regulations， a higher risk of radiopharmaceuticals， dilemmas in ethical review， and insufficient radiation protection. Response principles and measures were proposed from four aspects， including improving regulations and policies， enhancing radiological protection for all parties involved in the research， strengthening ethical review， and reinforcing the training of relevant personnel， to enhance the quality and level of clinical research on radiopharmaceuticals.

BackgroundPatients with depressive disorder often exhibit impaired decision-making functions. However， the relationship between decision-making abilities and depressive and anxiety symptoms in these patients remains unclear. ObjectiveTo explore the characteristics of decision-making behavior in patients with depressive disorder， and to analyze its relationship with clinical symptoms. MethodsA total of 48 patients diagnosed with depressive disorder according to the Diagnostic and Statistical Manual of Mental Disorders， fourth edition （DSM-IV） were recruited from the Department of Psychosomatic Medicine of the Affiliated Hospital of Southwest Medical University from October 2020 to May 2023. Concurrently， 52 healthy individuals matched for age and gender were recruited from Luzhou as the control group. Beck Depression Inventory （BDI） and Beck Anxiety Inventory （BAI） were used for assessment， and decision-making behavior was evaluated using Probabilistic Reversal Learning （PRL） task. Indicators assessed included the number of trials to criterion， perseverative errors， win-stay rate and lose-shift rate. Spearman correlation analysis was used to assess the correlation between BDI and BAI scores and PRL task indicators. ResultsThe depression group showed a significantly higher lose-shift rate compared with the control group （t=3.684， P<0.01）. There were no statistically significant differences between two groups in trials to criterion， perseverative errors and win-stay rate （t=0.329， 0.132， 0.609， P>0.05）. In depression group， BDI and BAI scores were positively correlated with the win-stay rate（r=0.450， 0.398， P<0.01）. ConclusionPatients with depressive disorder are more likely to change their decision-making strategies following negative outcomes. Furthermore， the severity of depressive and anxiety symptoms is associated with a greater propensity to maintain existing decisions after receiving positive feedback. ［Funded by 2019 Joint Project of Luzhou Science and Technology Bureau-Southwest Medical University （number， 2019LZXNYDJ39］

Objective To explore the effect of metformin combined with insulin detemir on intestinal flora in patients with gestational diabetes mellitus (GDM). Methods A total of 176 patients with GDM admitted to Luzhou People's Hospital from May 2022 to July 2023 were selected and randomly divided into a single drug group and a combined group, with 88 cases in each group. The single drug group was treated with insulin detemir, and the combined group was given metformin combined with insulin detemir. The glucose metabolism levels and intestinal flora distribution were compared between the two groups before treatment and during delivery. The maternal-infant outcomes were statistically analyzed and compared between the two groups. Results During delivery, the levels of fasting plasma glucose (FPG), glycosylated hemoglobin (HbAlc), and largest amplitude of glycemic excursions (LAGE), and the contents of Enterobacterium, Enterococcus and Escherichia coli in both groups were reduced compared with those before treatment, and the above indicators in the combined group were lower than those in the single drug group (all P<0.05). The contents of Bifidobacterium and Lactobacillus were increased in both groups, and the indicators were higher in the combined group than those in the single drug group (all P<0.05). There was no significant difference in adverse maternal-infant outcomes between the two groups (P>0.05). Conclusion Metformin combined with insulin detemir can effectively reduce blood glucose levels and improve intestinal flora distribution in patients with GDM, without increasing adverse maternal-infant outcomes.

Stroke ranks as the third leading cause of death and the fourth leading cause of disability worldwide. Its high disability rate and prolonged recovery period not only severely impact patients' quality of life but also impose a significant burden on families and society. Primary prevention is the cornerstone of stroke control, as early intervention on risk factors can effectively reduce its incidence. Therefore, the development of predictive models for first-ever stroke risk holds substantial clinical value. In recent years, advancements in big data and artificial intelligence technologies have opened new avenues for stroke risk prediction. This article reviews the current research status of traditional methods and machine learning models in predicting first-ever stroke risk and outlines future development trends from three perspectives: First, emphasis should be placed on technological innovation by incorporating advanced algorithms such as deep learning and large models to further enhance the accuracy of predictive models. Second, there is a need to diversify data types and optimize model architectures to construct more comprehensive and precise predictive models. Lastly, particular attention should be given to the clinical validation of models in real-world settings. This not only enhances the robustness and generalizability of the models but also promotes physicians' understanding of predictive models, which is crucial for their application and dissemination.

BackgroundSevere mental disorders represent a major public health concern due to the high disability rates and substantial disease burden， which has garnered significant national attention and prompted their inclusion in public health project management systems. However， credible evidence regarding the current status of disease management and factors influencing disease stabilization among patients with severe mental disorders in Luzhou City， Sichuan Province， remains limited. ObjectiveTo investigate the current management status of patients with severe mental disorders in Luzhou City， Sichuan Province， and to analyze influencing factors of disease stabilization among patients under standardized care， so as to provide evidence-based insights for developing targeted management strategies to optimize clinical interventions for this patient population. MethodsIn March 2023， data were extracted from the Sichuan Mental Health Service Comprehensive Management Platform for patients with severe mental disorders in Luzhou City who received management between December 2017 and December 2022. Information on mental health service utilization and clinical status changes was collected. Trend analysis was conducted to evaluate temporal changes in key management indicators for severe mental disorders in Luzhou City. Logistic regression analysis was employed to identify factors influencing the disease stabilization or fluctuation of these patients. ResultsThis study enrolled a total of 20 232 patients. In Luzhou City， the stabilization rate and standardized management rate of severe mental disorders were 94.89% and 79.36% in 2017， respectively， which increased to 95.33% and 96.92% by 2022. The regular medication adherence rate rose from 34.42% in 2018 to 86.81% in 2022. In 2022， the regular medication adherence rate was 71.80% for schizophrenia， 55.26% for paranoid psychosis， and 51.43% for schizoaffective disorder. Multivariate analysis identified the following protective factors for disease stabilization： age of 18~39 years （OR=0.613， 95% CI： 0.409~0.918）， age of 40~65 years （OR=0.615， 95% CI： 0.407~0.931）， urban residence （OR=0.587， 95% CI： 0.478~0.720）， and regular medication adherence （OR=0.826， 95% CI： 0.702~0.973）. Risk factors for disease fluctuation included poor （OR=1.712， 95% CI： 1.436~2.040）， non-inclusion in care-support programs （OR=1.928， 95% CI： 1.694~2.193）， non-participation in community rehabilitation （OR=2.255， 95% CI： 1.930~2.634）， and intermittent medication adherence （OR=3.893， 95% CI： 2.548~5.946）. ConclusionThe stability rate， standardized management rate， and regular medication adherence rate of patients with severe mental disorders in Luzhou City have shown a year-by-year increase. Age， household registration status， economic condition， medication compliance， and community-based rehabilitation were identified as influencing factors for disease fluctuation in these patients. ［Funded by Luzhou Science and Technology Plan Project （number， 2022-ZRK-186）］

BackgroundWith the rapid development of the networking technologies， internet addiction has increasingly become a serious mental health issue. Previous studies have revealed the link between childhood trauma and internet addiction， while the mediating role of perceived stress in this link is not yet clear. ObjectiveTo investigate the role of medical students' perceived stress in the relationship between childhood trauma and internet addiction， so as to provide references for the intervention of internet addiction. MethodsFrom February to March 2023， a random sampling technique was used to select 1 232 undergraduate students from the School of Clinical Medical Sciences of Southwest Medical University as research subjects. The Childhood Trauma Questionnaire-Short Form （CTQ-SF）， Perceived Stress Scale （PSS）， Internet Gaming Disorder Scale （IGDS）， and Bergen Social Media Addiction Scale （BSMAS） were used for assessment. Pearson's correlation coefficients were calculated. The mediation effect of perceived stress in the relationship between childhood trauma and internet addiction was tested using Model 4 in the SPSS Process 4.1， and Bootstrapping procedure involving 5 000 replicates was employed to confirm the statistical significance. ResultsA total of 1 016 （82.47%） valid completed questionnaires were gathered. The CTQ-SF scores of medical students were positively correlated with PSS scores， IGD scores， and BSMAS scores （r=0.583， 0.474， 0.465， P<0.01）. PSS scores were positively correlated with IGD scores and BSMAS scores （r=0.369， 0.479， P<0.01）. Childhood trauma in medical students was found to positively predict perceived stress （β=0.191， P<0.01）， social media addiction （β=0.160， P<0.01）， and internet gaming disorder （β=0.106， P<0.01）. Perceived stress played a significant mediating role in the relationship between childhood trauma and internet gaming disorder， indirect effect value was 0.018 （95% CI： 0.009~0.027）， accounting for 16.98%. Perceived stress also exhibited a significant mediating role in the relationship between childhood trauma and social media addiction， indirect effect value was 0.063 （95% CI： 0.048~0.079）， accounting for 39.38%. ConclusionChildhood trauma in medical students may affect internet gaming disorder and social media addiction through perceived stress. ［Funded by 2022 Annual Research Project of Sichuan Applied Psychology Research Center，（number，CSXL-22102）］

Objective: To analyze the implementation status and challenges of sex education in special education schools, so as to provide a scientific basis for formulating effective promotion strategies. Methods: From November 2023 to January 2024, a census survey was conducted among 120 in service teachers from 7 special education schools in Luzhou. The questionnaire covered the current status of sex education in schools, teachers attitudes and knowledge toward sex education, and their coping methods for students inappropriate sexual behaviors. Results: About 77.5% of teachers reported having provided sex education to students, but 93.2% indicated a lack of specialized sex education textbooks for special children, 90.4% reported no full time teachers for sex education, and the methods of sex education were relatively limited (50.0% mainly based on lecture method). Nearly 95.8% of teachers held a positive attitude toward sex education, with 98.3% supporting its implementation. Only 26.7% of teachers demonstrated a good grasp of sex education knowledge, with the best understood topic being "recognition and protection of private parts" (21.6%). When dealing with students inappropriate sexual behaviors, the active response rate of teachers was 23.9%, with the highest active response rate observed for "intentionally hugging or kissing the opposite sex" (39.7%). Conclusions The special education schools in Luzhou lack comprehensive sex education curricula, teaching materials and full time teachers, sufficient knowledge among teachers, and adequate proactive responses to students inappropriate sexual behaviors. Greater emphasis should be placed on sex education for special children, including the training of dedicated teachers, to provide comprehensive and high quality sex education services for special children.