Hyperlipidemia is a common metabolic disorder driven by dysregulated lipid metabolism， whose pathological progression involves multifaceted interactions across various signaling pathways， including disrupted cholesterol homeostasis， insulin resistance， chronic inflammation， and oxidative stress. Although existing clinical medications such as statins can effectively reduce low-density lipoprotein cholesterol through single-target inhibition， significant limitations remain in comprehensively improving reverse cholesterol transport， metabolic inflammation， and coordinated regulation of glucose and lipid metabolism. Curcumin， the primary polyphenolic active compound derived from the traditional medicinal herb turmeric， exhibits multi-dimensional pharmacological effects including modulation of lipid metabolism， improvement of insulin sensitivity， suppression of inflammatory responses， and enhancement of antioxidant defense. This review systematically integrates the multi-target regulatory network of curcumin， elucidating its key mechanisms： Balancing the low density lipoprotein receptor/proprotein convertase subtilisin/kexin type 9 （LDLR/PCSK9） signaling pathway to promote reverse cholesterol transport， activating peroxisome proliferator-activated receptor α/γ （PPARα/γ） signaling pathways to coordinate glucolipid metabolic homeostasis， remodeling the gut microbiota-bile acid axis， inhibiting nuclear factor kappa-B （NF-κB）-mediated inflammatory responses， and activating the nuclear factor erythroid 2-related factor 2/antioxidant response element （Nrf2/ARE） antioxidant signaling pathway. Furthermore， supported by clinical research data， the review validates curcumin's therapeutic potential in reducing total cholesterol （TC） and triglyceride （TG） levels， increasing high-density lipoprotein cholesterol （HDL-C）， as well as improving vascular endothelial function and insulin sensitivity. The study highlights the multi-target regulatory properties of curcumin and discusses future clinical applications based on nano-delivery systems and personalized treatment strategies， providing a theoretical basis and novel insights for the prevention and treatment of hyperlipidemia and related metabolic disorders.

AIM: To explore the factors influencing the efficacy of diabetic macular edema(DME)with conbercept and to construct a nomogram prediction model. METHODS:Retrospective analysis. Patients with DME admitted from January 2021 to October 2025 were selected. All patients received intravitreal conbercept injection once monthly for three consecutive months. Subjects were divided into a good response group and a poor response group according to the reduction in central macular thickness(CMT)at 3 mo after treatment. The clinical data of the patients were collected to analyze factors associated with poor response to conbercept therapy in patients with DME, and to construct a nomogram prediction model for identifying poor responders to conbercept treatment among DME patients.RESULTS:A total of 400 DME patients(400 eyes)were included in this study. The response group consisted of 312 patients(312 eyes), with 200 males and 112 females, with an average age of 64.85±5.13 y. The non-response group consisted of 88 patients(88 eyes), with 54 males and 34 females, with an average age of 65.14±4.93 y. There were no differences between the two groups in terms of gender, age, alcohol consumption, smoking status, duration of diabetes, edema classification, disease classification, low-density lipoprotein, HRF, ELM and/or EZ continuity interruption, and SRF(all P>0.05). However, there were differences in DR disease duration, pre-treatment BCVA, high-density lipoprotein, glycated hemoglobin, DRIL, and VMIA(all P<0.05). Multivariate Logistic regression analysis showed that DR disease duration ≥1 y(OR=2.351, 95%CI: 1.360-4.065), poor pre-treatment BCVA(OR=3.432, 95%CI: 1.581-6.988), high glycated hemoglobin(OR=1.656, 95%CI: 1.346-2.038), presence of DRIL(OR=3.115, 95%CI: 1.532-6.333), and presence of VMIA(OR=2.526, 95%CI: 1.445-4.415)were all risk factors for poor response to conbercept treatment in DME patients, while elevated high-density lipoprotein(OR=0.025, 95%CI: 0.004-0.163)was a protective factor for poor response to conbercept treatment in DME patients(P<0.05). ROC analysis showed that the area under the curve(AUC)of the nomogram model for predicting poor response to conbercept treatment in DME patients was 0.817(95%CI: 0.776-0.854), with a sensitivity of 73.86% and a specificity of 78.21%. When the threshold probability was >3%, the nomogram model for predicting poor response to conbercept treatment in DME patients was more favorable for all patient treatment plans. CONCLUSION:The nomogram prediction model constructed in this study is helpful for the clinical early identification of patients with DME who have a high risk of poor response to conbercept treatment, and can provide a reference for the early prevention of poor response to conbercept treatment.

Cervical cancer (CC) is the fourth leading cause of cancer-related deaths among women worldwide in 2022, and conventional treatment modalities offer limited efficacy for patients with advanced or recurrent disease. Natural killer (NK) cells are a subset of lymphocytes capable of non-specifically eliminating tumor cells and virus-infected cells without prior sensitization, and have emerged as a research focus in the field of cancer immunotherapy. However, the systematic elucidation and in-depth analysis are required in the dual regulatory mechanisms of NK cells within the cervical cancer microenvironment and the bottlenecks hindering their clinical translation. This article reviews the application of NK cell-based immunotherapy in CC, summarizes the mechanisms of action and therapeutic advances of NK cells in CC, identifies the major obstacles to current clinical translation, and proposes corresponding solutions.

AIM: To compare the efficacy of highly aspherical lenslets(HAL), defocus incorporated multiple segments(DIMS), and single-vision spectacle lenses(SVL)in slowing myopia progression in children and adolescents.

METHODS: In this retrospective cohort study, myopic children and adolescents aged 6-16 y who were prescribed spectacle lenses at the hospital between January 2023 and June 2023 were included. Participants were divided into the HAL, DIMS, and SVL groups according to the correction modality voluntarily selected by participants and their guardians. The follow-up duration was 12 mo. After 12 mo of wear, changes from baseline in sphere, cylinder, spherical equivalent(SE), axial length(AL), flat corneal curvature(K1), steep corneal curvature(K2), mean corneal curvature, and binocular visual function \〖binocular cross-cylinder(BCC), negative/positive relative accommodation(NRA/PRA)\〗 were compared among the three groups after 12-month spectacle wear. Three groups were further stratified by age into age≤10 y and age>10 y subgroups to explore the effect of age on myopia control efficacy of defocus lenses.

RESULTS: A total of 159 myopic participants(159 eyes; only the right eye was included for each subject)were enrolled. In the HAL group(55 participants), there were 24 males and 31 females, with a mean age of 10.07±2.14 y. The DIMS group consisted of 60 participants(33 males, 27 females), with a mean age of 10.02±1.88 y. The SVL group included 44 participants(21 males, 23 females), with a mean age of 10.59±1.93 y. There were no significant differences in K1, K2, mean corneal curvature, NRA, BCC, and PRA among the three groups after 12-month spectacle wear(all P>0.05). There were statistically significant differences in the changes in sphere, SE, and AL(all P<0.05). The changes in sphere, cylinder, SE, and AL in the HAL and DIMS groups were significantly lower than those in the SVL group(all P<0.0167). The DIMS group showed a significantly smaller cylinder progression than the SVL group(P<0.0167). In participants aged≤10 y, the change in spherical power in the HAL group was significantly smaller than those in the DIMS group and SVL group after 12-month spectacle wear(all P<0.0167). The change in cylindrical power in the DIMS group was smaller than that in the SVL group(all P<0.0167). Among participants aged>10 y, the changes in spherical power, SE, and AL in both the HAL group and DIMS group were significantly smaller than those in the SVL group after 12-month spectacle wear(all P<0.0167).

CONCLUSION: Both HAL and DIMS lenses can effectively slow the progression of refractive error and AL elongation in children and adolescents, without significant adverse effects on binocular visual function. Among children≤10 y, HAL lenses yield superior spherical power control, whereas DIMS lenses provide better astigmatism control than SVL.

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 investigate the pharmaceutical monitoring for children with acute kidney injury caused by voriconazole combined with cyclosporine,in order to provide methods and ideas for clinical pharmacists to conduct pharmaceutical services.Methods The clinical pharmacist assisted physicians to analyze the causes of two episodes of abnormal renal function in the children,and used the therapeutic drug monitoring to monitor the whole process of medication.Results The child's acute kidney injury was likely to be related to medication,and physicians adopted the pharmacist's recommendation for therapeutic drug monitoring and drug adjustment,and the child didn't have any renal function abnormalities again.Conclusion Clinical pharma-cists can use pharmacokinetic knowledge and therapeutic drug monitoring methods to assist physicians in formulating and optimi-zing treatment plans,and monitor the whole process of medication for special children to ensure safety medication.

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 explore the effect of EAERI (E: environment; A: accompany; E: emotion; R: respect; I: information) support strategies in the application of nurse second victims in restoring the passage of a patient safety incident, and to provide support to nurse second victims experiencing a safety incident in restoring the incident and mitigating secondary victimization from the incident.Methods:The method of historical comparison was adopted. A convenience sampling method was used to select nurses who experienced patient safety events in Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences) from January 2023 to February 2024 as the study subjects, which were divided into observation group and control group by the historical control grouping method. The observation group used the EAERI support strategy for patient safety incident reduction, and the control group used the conventional reduction method. The second victims of the nurses in both groups were assessed for their level of harm and support in the patient safety incident using the Second Victim Experience and Support Tool before and after the event reduction, respectively.Results:A total of 124 second victims completed the study. There were 63 cases in the control group, including 13 males and 50 females, with an age of (30.24 ± 4.91) years old. There were 20 males and 41 females in the observation group, with an age of (30.85 ± 5.50) years old. Before the restoration event, there was no significant differences in the total scores of victim experience and support, the degree of injury and the degree of support between the two groups (all P>0.05). The total scores of victim experience and support, the degree of injury and the degree of support were (89.35 ± 10.69), (44.57 ± 6.19), (44.78 ± 9.40) points in the control group, and (64.13 ± 9.36), (33.56 ± 8.84), (30.56 ± 3.17) points in the observation group. The differences were significant between the two groups ( t=14.02, 8.07, 11.29, all P<0.01). Conclusions:The EAERI support strategy is feasible and effective. The implementation of the EAERI support strategy can reduce the degree of injury when the second victim of the nurse restores the safety incident and improve the degree of support.