Background: The function of CD69 expressed on T cells in chronic hepatitis B (CHB) remains unclear. We aimed to elucidate the roles of CD69 on T cells in the disease process and in antiviral therapy for CHB. Methods: We enrolled 335 treatment-naive patients with CHB and 93 patients with CHB on antiviral therapy. CD69, antiviral cytokine production by T cells, T-helper (Th) cells, and inhibitory molecules of T cells were measured using flow cytometry, and clinical-virological characteristics were examined dynamically during antiviral therapy. Results: CD69 expression on CD3+, CD4+, and CD8+ T cells was the lowest in the immune-active phase and was negatively correlated with liver transaminase activity, fibrosis features, inflammatory cytokine production by T cells, and Th-cell frequencies but positively with inhibitory molecules on T cells. CD69 expression on CD3+, CD4+, and CD8+ T cells decreased after 48 weeks of antiviral therapy, and patients with hepatitis B e antigen (HBeAg) seroconversion in week 48 showed lower CD69 expression on T cells at baseline and week 48. The area under the ROC curve of CD69 expression on T cells at baseline for predicting HBeAg seroconversion in week 48 was 0.870, the sensitivity was 0.909, and the specificity was 0.714 (P = 0.002). Conclusions CD69 negatively regulates T-cell immunity during CHB, and its expression decreases with antiviral therapy. CD69 expression predicts HBeAg seroconversion in week 48. CD69 may play an important negative role in regulating T cells and affect the efficacy of antiviral therapy.

Objective To identify the key factors affecting the risk of medical surges and their coupling relation5 ships,providing strategic support for medical institutions to optimize risk management and emergency governance.Methods 17 influencing factors were determined based on WSR theory,and an expert scoring method was employed to assess the impact strength among the factors.The DEMATEL method was applied to calculate the centrality,cau5 sality,influence,and being influenced degrees of the influencing factors.The ISM method was used to construct a hierarchical structure of the influencing factors related to medical surge risks,thereby revealing the connections and interaction mechanisms among these factors.Results Seven critical influencing factors were identified,including the crisis decision-making capacity and leadership effectiveness of emergency managers,the completeness of the emer5 gency system and dynamic execution capabilities,and the cross-departmental coordination mechanism and com5 mand collaboration efficiency.Deep driving factors and coupling pathways were also revealed.Conclusion The risk of medical surges exhibits multi-factorial coupling cascade effects;attention should be directed towards the construc5 tion of mid-to-deep level mechanisms such as information systems,institutional frameworks,and organizational management,to enhance targeted capabilities and systemic resilience in risk governance.

Objective To define the conceptual connotation of network dynamic collaboration capacity in medical surge response and construct its theoretical model.Methods A mixed concept analysis method was employed,integrating multidisciplinary literature and collecting empirical evidence through semi-structured expert interviews to extract the concept of network dynamic collaboration capacity in medical surge response.By integrating complex systems,network science,synergetics,and dynamic capability theory,and combining the interview results,the study used the analogy of flood control in hydraulic engineering to develop a"network-dynamic-collaboration"triangular capacity theoretical model.Results It reveals one antecedents(sudden external shocks have led to an abnormal and continuous surge in medical demand),six core attributes(information interconnection accessibility,dynamic resource adaptability,risk perception responsiveness,multi-party collaborative interactivity,service process adaptability elasticity,and learning iterative evolution),and four consequences(mitigation of crowding risk,protection of service continuity,minimization of crisis spillover,and enhancement of system resilience)for the network dynamic collaboration capacity in medical surge response.The theoretical model elucidates the coupling mechanisms among network structural resilience,dynamic regulation processes,and collaborative co-evolution in resisting medical surge.Conclusion The new concept and theoretical model proposed in this study deepen the understanding of medical surge response system mechanisms and offer a theoretical framework and practical guidance for strengthening the full-chain resilience of health emergency systems.

Objective To empirically analyze multiple pathways for enhancing medical surge response capacity and provide useful references for improving the resilience of health systems.Methods A comprehensive theoretical analysis framework for improving medical surge response capacity was constructed based on the 4S theory and collaborative governance theory.68 interview texts on medical surge response capacity conducted in July 2024 were selected as analysis samples.Using fuzzy-set Qualitative Comparative Analysis(fsQCA),7 conditional variables were selected from four dimensions:management system,information system,materials,and personnel to analyze their impact on medical surge response capacity.Results(1)A single conditional variable does not constitute a necessary condition for improving medical surge response capacity;(2)After the combination of conditions,8 specific configuration paths for capacity improvement were identified.Through systematic and comprehensive refinement,they were summarized into three modes of comprehensive configuration capacity improvement paths,namely:rapid response and collaborative operation mode,information empowerment and precise response mode,and resource conditions and resilience construction mode.Conclusion It is necessary to explore and construct systematic,combined,modularized and path-oriented capacity building strategies,refine the operational implementation paths for improving China's medical surge response capacity,target the linkage and configuration modes of different conditional variables,promote the formulation and implementation of modular construction schemes oriented by key capacity,and make efforts from multiple aspects to enhance the resilience of the health system.

Objective To study the current situation and influencing factors of the digitalized medical and health service space for the elderly,it provides a reference for solving the dilemma of digital medical treatment for the elderly,sharing the dividend of digital medical development,and achieving the goal of healthy aging.Methods Using stratified cluster sampling method,a questionnaire survey was conducted among the elderly in Jiamusi City and Daqing City of Heilongjiang Province in August 2024,and 800 valid questionnaires were collected.Multiple linear regression was used to analyze the influencing factors of the spatial level of digitalized medical and health services for the elderly.Results The score of digitalized medical and health service space for the elderly was(2.05±1.90).The results of multiple linear regression analysis showed that digital health literacy,long-term residence and digital literacy were the main influencing factors of digitalized medical and health service space for the elderly the differences were statistically significant(P＜0.05).Conclusion The government,hospitals,enterprises,society,families and other multi-subjects should pay attention to the integration of digitalized medical and health service space for the elderly,and cooperate with the improvement of the digital ability of the elderly by creating an external digital medical environment,so as to reduce the occurrence of adverse outcomes in the digitalized medical and health service space of the elderly,eliminate the dilemma of digital medical treatment for the elderly,improve the medical well-being of the elderly in the digital society,and promote healthy aging.

Objective To identify the key factors affecting the risk of medical surges and their coupling relation5 ships,providing strategic support for medical institutions to optimize risk management and emergency governance.Methods 17 influencing factors were determined based on WSR theory,and an expert scoring method was employed to assess the impact strength among the factors.The DEMATEL method was applied to calculate the centrality,cau5 sality,influence,and being influenced degrees of the influencing factors.The ISM method was used to construct a hierarchical structure of the influencing factors related to medical surge risks,thereby revealing the connections and interaction mechanisms among these factors.Results Seven critical influencing factors were identified,including the crisis decision-making capacity and leadership effectiveness of emergency managers,the completeness of the emer5 gency system and dynamic execution capabilities,and the cross-departmental coordination mechanism and com5 mand collaboration efficiency.Deep driving factors and coupling pathways were also revealed.Conclusion The risk of medical surges exhibits multi-factorial coupling cascade effects;attention should be directed towards the construc5 tion of mid-to-deep level mechanisms such as information systems,institutional frameworks,and organizational management,to enhance targeted capabilities and systemic resilience in risk governance.

Objective To define the conceptual connotation of network dynamic collaboration capacity in medical surge response and construct its theoretical model.Methods A mixed concept analysis method was employed,integrating multidisciplinary literature and collecting empirical evidence through semi-structured expert interviews to extract the concept of network dynamic collaboration capacity in medical surge response.By integrating complex systems,network science,synergetics,and dynamic capability theory,and combining the interview results,the study used the analogy of flood control in hydraulic engineering to develop a"network-dynamic-collaboration"triangular capacity theoretical model.Results It reveals one antecedents(sudden external shocks have led to an abnormal and continuous surge in medical demand),six core attributes(information interconnection accessibility,dynamic resource adaptability,risk perception responsiveness,multi-party collaborative interactivity,service process adaptability elasticity,and learning iterative evolution),and four consequences(mitigation of crowding risk,protection of service continuity,minimization of crisis spillover,and enhancement of system resilience)for the network dynamic collaboration capacity in medical surge response.The theoretical model elucidates the coupling mechanisms among network structural resilience,dynamic regulation processes,and collaborative co-evolution in resisting medical surge.Conclusion The new concept and theoretical model proposed in this study deepen the understanding of medical surge response system mechanisms and offer a theoretical framework and practical guidance for strengthening the full-chain resilience of health emergency systems.

Objective To empirically analyze multiple pathways for enhancing medical surge response capacity and provide useful references for improving the resilience of health systems.Methods A comprehensive theoretical analysis framework for improving medical surge response capacity was constructed based on the 4S theory and collaborative governance theory.68 interview texts on medical surge response capacity conducted in July 2024 were selected as analysis samples.Using fuzzy-set Qualitative Comparative Analysis(fsQCA),7 conditional variables were selected from four dimensions:management system,information system,materials,and personnel to analyze their impact on medical surge response capacity.Results(1)A single conditional variable does not constitute a necessary condition for improving medical surge response capacity;(2)After the combination of conditions,8 specific configuration paths for capacity improvement were identified.Through systematic and comprehensive refinement,they were summarized into three modes of comprehensive configuration capacity improvement paths,namely:rapid response and collaborative operation mode,information empowerment and precise response mode,and resource conditions and resilience construction mode.Conclusion It is necessary to explore and construct systematic,combined,modularized and path-oriented capacity building strategies,refine the operational implementation paths for improving China's medical surge response capacity,target the linkage and configuration modes of different conditional variables,promote the formulation and implementation of modular construction schemes oriented by key capacity,and make efforts from multiple aspects to enhance the resilience of the health system.

Objective To study the current situation and influencing factors of the digitalized medical and health service space for the elderly,it provides a reference for solving the dilemma of digital medical treatment for the elderly,sharing the dividend of digital medical development,and achieving the goal of healthy aging.Methods Using stratified cluster sampling method,a questionnaire survey was conducted among the elderly in Jiamusi City and Daqing City of Heilongjiang Province in August 2024,and 800 valid questionnaires were collected.Multiple linear regression was used to analyze the influencing factors of the spatial level of digitalized medical and health services for the elderly.Results The score of digitalized medical and health service space for the elderly was(2.05±1.90).The results of multiple linear regression analysis showed that digital health literacy,long-term residence and digital literacy were the main influencing factors of digitalized medical and health service space for the elderly the differences were statistically significant(P＜0.05).Conclusion The government,hospitals,enterprises,society,families and other multi-subjects should pay attention to the integration of digitalized medical and health service space for the elderly,and cooperate with the improvement of the digital ability of the elderly by creating an external digital medical environment,so as to reduce the occurrence of adverse outcomes in the digitalized medical and health service space of the elderly,eliminate the dilemma of digital medical treatment for the elderly,improve the medical well-being of the elderly in the digital society,and promote healthy aging.

Objective:The purpose of this study was to examine the clinical features and initial treatment outcomes of elderly individuals with idiopathic membranous nephropathy.Methods:This study retrospectively analyzed the clinical characteristics and therapeutic effect of hospitalized patients aged 60 years or older with renal-biopsy-proven idiopathic membranous nephropathy for at least one year.Results:This study enrolled a total of 91 elderly patients with IMN, consisting of 51 males(56.0%)and 40 females(44.0%). The median age of the patients was 67 years.The urinary protein creatinine ratio(uPCR)and urinary albumin creatinine ratio(uACR)of the patients were 4 454.3 mg/g and 2 258.5 mg/g, respectively.The median 24-hour urinary protein and urinary albumin levels were 5 098.2 mg/24 h and 2 800.6 mg/24 h, respectively.The average estimated glomerular filtration rate(eGFR)was(60.5±20.4)ml·min -1·1.73 m -2.Out of the total of 61 patients, 67.0% achieved remission, including complete and partial remission, within a year of renal biopsy.The levels of uPCR and uACR were significantly higher in the non-remission group compared to the remission group(5 462.5 vs.2 271.1 mg/g, P<0.001; 2 774.4 vs.1 320.0 mg/g, P=0.001). Additionally, the levels of 24h urinary protein and urinary albumin were significantly higher in the non-remission group compared to the remission group(6 526.4 vs.3 210.4 mg/g, P=0.002; 3 067.7 vs.2 102.4 mg/g, P=0.007). The remission group had a higher proportion of patients receiving immunosuppressive therapy(85.2% vs.33.3%, P<0.001). The remission rates were higher in patients treated with glucocorticoid combined with cyclophosphamide, glucocorticoid combined with calcineurin inhibitors, or glucocorticoid combined with mycophenolate mofetil compared to those receiving conservative treatment(88.2% vs.31.0%, P=0.001; 80.0% vs.31.0%, P<0.001; 100.0% vs.31.0%, P=0.007). There was no significant difference in remission rate between the three immunosuppressive therapy groups( P>0.05). However, upon further analysis, it was found that the levels of uPCR, uACR, and serum cystatin C(CysC)were higher in the immunosuppressive therapy groups compared to conservative treatment.Additionally, serum total protein and albumin were lower in the immunosuppressive therapy groups, and these differences were statistically significant( P<0.05). Conclusions:The majority of elderly patients diagnosed with IMN have multiple comorbidities.For those at high risk with elevated urinary protein levels, early initiation of immunosuppressive therapy may lead to a higher initial urinary protein remission rate.Therefore, it is advisable to develop individualized treatment plans for elderly patients with IMN based on their clinical characteristics, as well as the risks and benefits associated with immunosuppressive therapy.