Objective To study the five-year survival status and influencing factors of elderly patients with lung cancer complicated with chronic obstructive pulmonary disease (COPD). Methods A cohort study was conducted to follow up 450 patients with lung cancer and chronic obstructive pulmonary disease who were hospitalized in our hospital from January 2018 to December 2023. The endpoint of the follow-up was the end of a five-year period or death. The Life Tables method was used to calculate survival rates and plot survival curves. The Cox proportional hazards model was used to analyze the influencing factors of five-year survival. Results The results indicated that the overall five-year survival rate of patients was 4.89%, and it decreased year by year. Cox regression analysis showed that age, gender, family functioning, and psychological status significantly influenced patient survival rate (all P<0.05). Stratified analysis found that the smoking status, family functioning, and psychological status of male patients all had an impact on survival rate (all P<0.05), while the psychological status of female patients had a more significant impact on survival (P=0.008). Conclusion This study provides a scientific basis for comprehensive intervention of elderly lung cancer patients with COPD. It is recommended that clinical attention should be paid to psychological and family factors to improve patient prognosis.

BackgroundIndividuals with schizophrenia are prone to higher rates of hospital readmission， presenting significant clinical challenges and imposing considerable social burdens within the mental health domain. In recent years， various risk prediction models have been developed to forecast readmission in patients with schizophrenia and support clinical decision-making， but their predictive performance and clinical applicability require comprehensive evaluation. ObjectiveTo systematically evaluate the risk prediction models for readmission in patients with schizophrenia， so as to provide insights for the development of high-performance and highly applicable readmission risk prediction models for patients with schizophrenia. MethodsOn July 5， 2025， a systematic literature search was conducted across multiple electronic databases， including PubMed， Embase， Cochrane Library， Web of Science， CINAHL， CNKI， China Biomedical Literature Database， Wanfang Database， and VIP Database， to identify risk prediction models for readmission in patients with schizophrenia. The search period was from the establishment of the databases to July 1， 2025. Two researchers independently performed literature screening， data extraction， risk of bias assessment， and applicability assessment. ResultsA total of 9 studies were included in this review， encompassing 18 risk prediction models for readmission in patients with schizophrenia. Among them， 4 models reported the area under the receiver operating characteristic （ROC） curve （AUC）， ranging from 0.734 to 0.820， 16 models provided AUC values of 0.642–0.879 for internal validation， and 1 model demonstrated an AUC of 0.841 for external validation. Key predictors included disease duration and the concomitant therapy of antipsychotic medications. The risk of bias was assessed as "high" in all included studies. ConclusionThe development of risk prediction models for readmission in patients with schizophrenia remains in an exploratory stage. Although the model exhibits favorable predictive performance， it is associated with a high risk of bias and insufficient performance evaluation.

The research and development of innovative drug have progressed remarkably, but the long development circle and high failure rate have become the bottleneck. Drug repurposing, discovering new indications of approved drugs, is a strategy to overcome these obstacles. By exploring new indications for approved drugs, rapid progress has been made in basic research and clinical translation in recent years. Rich resources of drugs, proven security, efficient development workflow and reduced cost are core advantages of this strategy, making the strategy a crucial direction of optimizing the pipeline of drug research and development. This review systematically summarizes drug repurposing cases that have received clinical approval over the past five years, and proposes core strategies for drug repurposing, including approaches based on targets, pathways, drug similarity, post-treatment phenotypes, and clinical side effects, aiming to provide some strategic guidance for drug repurposing efforts.

Objective: To understand the impact of childhood trauma on psychological distress among upper grade elemetary school students, and to explore the mediating role of leisure activities in the relationship, so as to provide a basis for developing mental health intervention strategies. Methods: From August to November 2024, a combination of convenience sampling and stratified cluster random sampling was employed to recruit 1 373 fourth to sixth grade students from four primary schools in Harbin. The Childhood Trauma Questionnaire(CTQ), a self designed leisure activity scale (including active and passive leisure activities), and the Kessler Psychological Distress Scale (K10) were used to assess childhood trauma experiences, leisure activities, and levels of psychological distress. Spearman correlation analysis and linear regression analysis were conducted to explore the relationships among childhood trauma, leisure types, leisure time, and psychological distress. Based on the mediation analysis framework proposed by Hayes (Model 4), the mediating role of leisure types in the relationship between childhood trauma and psychological distress was examined. Results: Totally 19.1% of the upper elemetary school students exhibited psychological distress, while 30.2% had experienced childhood trauma. During school days, 64.6% of the students were reported of having leisure time concentrated between 1 and 5 hours per day, whereas 67.4% reported leisure time exceeding 5 hours per day on weekends. After controlling for potential demographic confounders such as gender, grade, ethnicity, household registration, being an only child, parents educational level, co residence, and whether parents are first time married,linear regression analysis showed that childhood trauma experience had positive predictive effect on psychological distress in upper primary school students( β =0.20, P <0.01). Leisure time showed no statistically significant association with psychological distress, both on school days ( β =-0.58 to -0.56) and weekends ( β =0.26- 0.98 )(all P >0.05). Active leisure activities were negatively associated with psychological distress ( β =-0.20), while passive leisure activities were positively associated with psychological distress ( β =0.29)(both P <0.01). Leisure type partially mediated the relationship between childhood trauma and psychological distress, accounting for 11.7% of the indirect effect. Conclusion Childhood trauma experiences positively predict psychological distress in upper elementary school students, and affect psychological distress through active leisure and passive leisure.

Objective: To address systemic challenges in the blood system, such as supply-demand imbalance, inefficient allocation, and inappropriate clinical use, while bridging gaps in current theories regarding the integration of social mobilization, institutional practice, and policy coordination. It sought to construct a system dynamics model spanning from macro to micro levels to analyze the blood management system holistically. Methods: Key variables were identified by a systematic literature search in both Chinese and English databases. An improved Delphi method was then employed to conduct expert consultations across different fields, leading to the selection and determination of core variable sets for each sub-model. Furthermore, by defining their logical relationships, a system dynamics model was constructed to systematically analyze the operation mechanism of the blood management system. Results: Four core sub-models were developed: 1) A macro "Dynamic Balance" model quantifying regional supply-demand equilibrium and inventory control; 2) a mobilization "Three-Layer Funnel" model analyzing how socio-cultural factors, service channels, and policy incentives influence donation behavior; 3) an institutional "Dual-Cycle Regulation" model revealing hospital blood usage is driven by both disease burden (demand cycle) and management practices (regulation cycle); and 4) an individual "Three-Layer Filter" model standardizing clinical transfusion decisions based on necessity, risk-benefit, and context. These were integrated into a "Multi-Layer Linkage and Feedback" model, elucidating bidirectional interactions among five levels: policy environment, regional supply, blood station mobilization, hospital application, and clinical decision-making. Conclusion: This study constructed a system dynamics model for blood management. By defining key variables and their logical relationships, it systematically analyzes the system′s operational mechanism. The integrated framework connects multiple levels—regional supply, voluntary donation, hospital blood use, and clinical decision-making—revealing their intrinsic linkages. Future efforts should employ systems thinking to synergistically enhance supply-side mobilization, demand-side management, systemic regulation, and decision standardization to build a safe, efficient, and sustainable blood security system.

Depressive disorder is a kind of mental disorder characterized by persistent and significant depressed mood, with complex etiology and high recurrence rate. At present, more precise and effective diagnostic and therapeutic approaches are still required. Increasing evidence suggests that hypoxia inducible factor-1 (HIF-1) and related pathways are involved in regulating the development and recovery of depression. HIF-1 enhances neuroplasticity, mitigates neuroinflammatory responses, alleviates oxidative stress, and modulates brain energy metabolism by influencing specific molecules associated with depression. This paper reviews pertinent domestic and international studies, examine the potential mechanisms of HIF-1 in the pathogenesis and progression of depression, and explore antidepressant treatment strategies targeting the HIF-1 signaling pathway. This article provides novel insights into elucidating the pathogenesis of depression and developing innovative therapeutic approaches.

Objective:To explore the rehabilitation effects of individual computer story-version magnanimous therapy (ICSMT) on patients with end-stage renal disease undergoing maintenance hemodialysis (MHD).Methods:A total of 120 patients with end-stage renal disease receiving MHD treatment at the Department of Nephrology Hemodialysis Center of Huadu District People's Hospital of Guangzhou from August 2022 to April 2024 were selected as the study subjects.They were randomly divided into control group ( n=60, receiving routine clinical treatment) and ICSMT group ( n=60, receiving routine clinical treatment combined with ICSMT for psychological intervention) by random number table method.The patients in the two groups were evaluated by the self-rating anxiety scale (SAS), self-rating depression scale (SDS), enterprising and magnanimous questionnaire (EMQ), the short-form-36 health survey (SF-36), and activity of daily living scale (ADL) before intervention and at 4-week post-intervention.Blood pressure, blood urea nitrogen (BUN), hemoglobin (Hb), and serum albumin (ALB) levels were also measured before the intervention and at the 4-week post-intervention.The clinical global impression scale (CGI) was used to evaluate clinical efficacy before the intervention, at the 2-week post-intervention, and at the 4-week post-intervention.Statistics analysis was performed using SPSS 29.0.1.0(171). Independent-samples t-test, paired t-test, Mann-Whitney U test and Wilcoxon signed-rank test were used for statistical analysis. Results:After 4 weeks of intervention, the SAS and SDS in the ICSMT group (49.0 (48.0, 50.0), 50.0 (49.0, 51.0)) were significantly lower than those in the control group (51.0 (50.0, 52.0), 52.0 (51.0, 53.0)) (both P<0.001). The enterprising subscore of the EMQ in the ICSMT group (35.0 (32.0, 37.0)) was significantly higher than that in the control group (31.0 (29.0, 34.0)) ( P<0.001). Furthermore, the differences of enterprising and magnanimous subscores between the two groups before and after intervention in the ICSMT group (2.0 (1.0, 4.0), 1.0 (-1.0, 2.0))were significantly higher than those in the control group (-1.0 (-1.0, 0), -1.0 (-1.2, 0)) (both P<0.05). Systolic and diastolic blood pressure values in the ICSMT group (130 (126, 134) mmHg, 85 (80, 88) mmHg)were significantly lower than those in the control group (145 (138, 152) mmHg, 93 (88, 99) mmHg)(1 mmHg=0.133 kPa) after 4 weeks of intervention(both P<0.05). After 4 weeks of intervention, the level of BUN in the ICSMT group (5.5 (3.7, 8.4) mmol/L) was significantly lower than that in the control group (9.1 (6.8, 11.4) mmol/L), while the level of Hb and ALB in the ICSMT group ((115.0±10.0)g/L, (38.3±3.2)g/L)were significantly higher than those in the control group ((104.0±12.0)g/L, (37.1±2.9)g/L) (all P<0.05). After 4 weeks of intervention, the physical functioning, role-physical, general health, vitality, social functioning, role-emotional, and mental health subscores of SF-36 in ICSMT group were all significantly higher than those in the control group (all P<0.05). After 4 weeks of intervention, the score of ADL in the ICSMT group (15.42±1.58)was significantly lower than that in the control group (16.78±2.06) ( t=-4.08, P<0.05). At the 2-week post-intervention and the 4-week post-intervention, the severity of illness (SI) and global improvement (GI) in the ICSMT group were significantly lower than those in the control group, while the efficacy index (EI) in the ICSMT group was significantly higher than that in the control group (all P<0.05). Conclusion:ICSMT can effectively promote the physical, psychological, and social functional rehabilitation of end-stage renal disease patients undergoing MHD, significantly improving their quality of life.

Objective:To explore associated factors of post-discharge depressive symptom severity in patients with bipolar disorder.Methods:A longitudinal follow-up was conducted to investigate the demographic,behavioral,and clinical characteristics,and social function among discharged patients with bipolar disorder who met the DSM-5 diagnostic criteria.Clinical characteristics were assessed with the Hamilton Depression Scale(HAMD)and Brief Psychiatric Rating Scale(BPRS).Single factor and multivariate regression were carried out to explore the associat-ed factors of depressive symptom severity in patients with bipolar disorder.Results:A total of 298 discharged pa-tients with bipolar disorder were face-to-face interviewed to complete the follow-up survey.At follow-up time,psy-chotic symptoms(standardized(β)=0.18),housework((β)=0.23),social interaction((β)=0.17)and BPRS total score((β)=0.46)were positively associated with HAMD total score.Productive labor and work((β)=-0.27)and person-al life management((β)=-0.15)were negatively associated with HAMD total scores.Conclusion:Post-discharge depressive symptom severity in bipolar disorder patients is influenced by multiple factors.Effective management of psychotic symptoms,combined with enhanced community-based social rehabilitation and functional recovery,may help reduce the persistence or worsening of depressive symptoms and improve prognosis.

Objective::This study aimed to elucidate the effect of the lipopolysaccharides/toll-like receptor 4 (LPS/TLR4) pathway on early atherosclerosis (AS) development and its associated changes in fecal metabolites, thereby providing an experimental foundation for strategies to prevent and treat early AS.Methods::Twelve Tibetan miniature pigs aged 4-5 months were divided into normal control (NC) group and AS group (6 pigs in each). The group assignment was primarily based on body weight; Secondary criteria, including glucose, lipid profiles, and inflammatory indices, were considered to ensure balanced baseline characteristics between the 2 groups (all P > 0.05). AS group received a high-fat diet for 16 weeks to establish an AS model, while the NC group received a normal diet. Subsequently, serum levels of lipids and various inflammation and oxidative stress markers were measured. Pathological changes in the aorta and colon tissue, LPS/TLR4 pathway-associated protein expressions in the aorta, as well as occludin and zonula occludens-1 in the colon were also assessed. Proton nuclear magnetic resonance spectra technology was employed for the metabolomic analysis of fecal extracts. Results::The lipid metabolism was disrupted in AS group, with significantly higher total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol levels ((12.24 ± 5.24) mmol/L vs. (1.86 ± 0.27) mmol/L, P = 0.004,6; (2.39 ± 0.50) mmol/L vs. (0.83 ± 0.07) mmol/L, P = 0.000,5; (6.94 ± 2.87) mmol/L vs. (0.77 ± 0.18) mmol/L, P = 0.003,3), as compared to that in NC group. Serum factors, including LPS, tumor necrosis factor-α, and malondialdehyde levels of AS group were significantly higher than that of NC group ((1,230.00 ± 192.70) EU/L vs. (695.70 ± 213.70) EU/L), P = 0.001,1; (424.20 ± 176.90) ng/L vs. (51.20 ± 26.61) ng/L, P = 0.023,5; (3.60 ± 0.77) nmol/mL vs. (2.62 ± 0.21) nmol/mL, P = 0.025,4). Pathological evaluations revealed prominent lipid deposition area in the aortic arch, thoracic aorta, and abdominal aorta of the AS group compared with that of the NC group (4.17% ± 2.30% vs. 0, P = 0.006,7; 6.23% ± 2.95% vs. 0, P = 0.003,6; 3.78% ± 2.18% vs. 0, P = 0.008,1). TLR4, nuclear factor kappa-B p65, and tumor necrosis factor-α expression in the aorta tissue of the AS group were upregulated, whereas occludin and zonula occludens-1 expression in colon tissues was downregulated. Additionally, metabolomics identified significant differences in 21 metabolites in the feces of the AS group compared to the NC group, with further analysis linking these differences to amino acid metabolism. Conclusions::The Tibetan miniature pig model of early AS induced by high-fat intake displayed pronounced chronic inflammation. Preliminary findings suggest that the underlying mechanisms may be associated with the LPS/TLR4 pathway and intestinal metabolic disorders.

Tumors exhibit abnormal glucose metabolism, consuming excessive glucose and excreting lactate, which constructs a tumor microenvironment that facilitates cancer progression and disrupts immunotherapeutic efficacy. Currently, tumor glucose metabolic dysregulation to reshape the immunosuppressive microenvironment and enhance immunotherapy efficacy is emerging as an innovative therapeutic strategy. However, glucose metabolism modulators lack specificity and still face significant challenges in overcoming tumor delivery barriers, microenvironmental complexity, and metabolic heterogeneity, resulting in poor clinical benefit. Nanomedicines, with their ability to selectively target tumors or immune cells, respond to the tumor microenvironment, co-deliver multiple drugs, and facilitate combinatorial therapies, hold significant promise for enhancing immunotherapy through tumor glucose metabolic reprogramming. This review explores the complex interactions between tumor glucose metabolism-specifically metabolite transport, glycolysis processes, and lactate-and the immune microenvironment. We summarize how nanomedicine-mediated reprogramming of tumor glucose metabolism can enhance immunotherapy efficacy and outline the prospects and challenges in this field.