OBJECTIVE To investigate the mechanism by which resveratrol improves renal injury in rats with uric acid nephropathy （UAN） through inhibition of the protein kinase R-like endoplasmic reticulum kinase （PERK）/eukaryotic translation initiation factor 2α （eIF2α） pathway.METHODS A UAN rat model was established via oral administration of adenine plus potassium oxonate， and the rats were divided into a UAN model group， a positive control group （allopurinol 10 mg/kg）， a resveratrol group （100 mg/kg）， and a resveratrol+tunicamycin group [resveratrol 100 mg/kg+tunicamycin （PERK activator） 1 mg/kg]. A control group （without modeling） was also established， with 6 rats in each group. Rats in each group were administered the corresponding drug solution and/or normal saline via gavage or intraperitoneal injection once daily for 28 consecutive days. The contents of renal function-related parameters （24-hour urinary total protein， and uric acid， creatinine and blood urea nitrogen in serum）， the levels of inflammation-related markers [interleukin-6 （IL-6）， IL-18， tumor necrosis factor-α （TNF-α）， IL-10， and nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 （NLRP3）]， and pathological changes in renal tissue were determined， and the score for tubular damage， the score for inflammatory infiltration， and the degree of mesangial proliferation were assessed. The mRNA expressions of neutrophil gelatinase-associated lipocalin （NGAL） and kidney injury molecule-1 （KIM-1）， as well as the expressions of proteins associated with the PERK/eIF2α pathway， were measured in renal tissue from each group.RESULTS Compared with the control group， rats in the UAN model group exhibited marked tubular damage， inflammatory cell infiltration， and mesangial proliferation. The contents of renal function-related parameters， levels of IL-6， IL-18， TNF-α and NLRP3， scores for tubular damage and inflammatory infiltration， degree of mesangial proliferation， mRNA expressions of NGAL and KIM-1， and phosphorylation levels of PERK and eIF2α， as well as the expressions of activating transcription factor 4 and C/EBP homologous protein， were all significantly increased or upregulated， while IL-10 levels were significantly decreased （ P ＜0.05）. Compared with the UAN model group， the resveratrol group and the positive control group showed significant improvements in all of the aforementioned parameters （ P ＜0.05）. Tunicamycin could significantly reverse the beneficial effects of resveratrol on all quantitative parameters （ P ＜0.05）.CONCLUSIONS Resveratrol can reduce inflammatory responses in renal tissue of UAN rats， and improve tubular damage and renal function. These effects may be related to the inhibition of endoplasmic reticulum stress mediated by the PERK/eIF2α pathway.

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 examine the influence of physical function status on supportive care needs (SCNS) in patients with primary liver cancer (PLC) and to explore the mediating roles of perceived social support and anxiety-depression, with the aim of providing evidence for nursing interventions to improve patients' care experience.Methods:A convenience sampling method was used to select PLC inpatients admitted to The First Affiliated Hospital of Jinan University between December 2022 and February 2024. Data were collected using a general information questionnaire, the 34-item Supportive Care Needs Survey-Short Form, the Hospital Anxiety and Depression Scale, the Perceived Social Support Scale, and the Karnofsky Performance Status Scale to conduct a cross-sectional survey. Pearson correlation analysis was performed to examine associations among SCNS, perceived social support, anxiety-depression, and physical function status. Structural equation modeling was used to assess the mediating effects of perceived social support and anxiety-depression on the relationship between physical function status and SCNS.Results:A total of 304 patients were enrolled, including 260 males and 44 females, 31 cases aged 18-40 years old, 160 cases aged 41 to 60 years old, and 113 cases over 60 years old. The mean total SCNS score was (98.32 ± 21.75) points, the mean anxiety-depression score was (23.31 ± 9.64) points, the mean perceived social support score was (56.62 ± 13.05) points, and the mean physical function status score was (66.28 ± 12.31) points. Pearson correlation analysis showed that physical function status was negatively correlated with SCNS and anxiety-depression ( r =-0.509, -0.447; both P<0.05) and positively correlated with perceived social support ( r =0.439, P<0.05). Physical function status had a direct effect of 60.74% on SCNS, with specific mediating effects of perceived social support and anxiety-depression accounting for 23.15% and 11.85%, respectively, and a chain mediating effect of 4.26%. Conclusions:Patients with PLC exhibited a moderately high level of supportive care needs. Physical function status not only exerted a direct negative effect on SCNS but also indirectly influenced SCNS through the chain mediation of perceived social support and anxiety-depression. Clinical medical staff should focus on enhancing patients' perception of social support and effectively alleviating anxiety and depressive symptoms, thereby reducing supportive care needs to some extent.

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.

The clinical phenotype heterogeneity of epilepsy patients with ADGRV1 gene mutation is significant, ranging from self limiting febrile seizures to developmental epileptic encephalopathy, even causing sudden epileptic death. A case of infantile epileptic spasms syndrome with a novel heterozygous variant of the ADGRV1 gene c.4100C>A (p.Thr1367Lys) was reported in this article. The site of this variant had not been reported yet, and the clinical manifestations of the child mainly included epileptic spasms (first onset at 4 months old), mild growth and development delay, highly irregular video electroencephalogram, and effective treatment with adrenocorticotropic hormone.

Objective:To construct a preventive maintenance path based on risk control model for medical equipment in the operating room,and analyze its application effect in the management for medical equipment in the operating room.Methods:Based on 7 key factors included equipment characteristics,usage duration,startup frequency,operating efficiency,operator skills,maintenance frequency,and technical support in risk control model,we followed management mode of preventive maintenance,and constructed a preventive maintenance path from six dimensions which included management of equipment application,preventive maintenance and upkeep,predictive maintenance,fault repair,post upkeep,and quality monitoring.A total of 215 used medical equipment in operating room at Xiaolan People's Hospital of ZhongShan from January 2022 to December 2022 were selected,and the equipment during January and December 2022 received maintenance management by using conventional management method,and these during January and December 2023 received maintenance management by using preventive maintenance path method based on risk control model for medical equipment(model management method).The quality of management and operation for equipment between two kinds of management methods were compared.A self-designed questionnaire was adopted to investigate the operators'satisfaction for service quality of equipment in operating rooms.Results:The average standardization degree of using equipment,efficiency of maintenance,timely maintenance,and qualification rate of quality inspection of adopting model management method were respectively(94.43±4.26)%,(97.74±1.53)%,(86.78±6.72)%and(96.48±3.02)%,all of which were higher than those of adopting conventional method(t=22.583,34.738,14.820,18.577,P<0.05).The average rate of starting equipment and self-repair rate of the model management method were significantly higher than those of the conventional method,and the differences were statistically significant(t=10.355,7.624,12.811,P<0.05).The satisfaction scores of operators who used management for adopting model management method were higher than those for adopting conventional management method in applying and managing equipment,preventive upkeep,predictive maintenance,fault repair,post upkeep and quality monitoring,and the differences were statistically significant(t=18.653,22.942,18.752,23.673,40.055,37.120,P<0.05).Conclusion:The preventive maintenance path based on risk control model for medical equipment in operating room can improve the management quality for equipment in operating room,and enhance management effectiveness and operators'satisfaction.