Objective: To evaluate the practical effectiveness of confidential unit exclusion (CUE) in ensuring blood safety in Zhengzhou, analyze its application characteristics and existing problems, and provide a basis for optimizing blood safety management strategies. Methods: A retrospective analysis was conducted on CUE data handled by Henan Red Cross Blood Center from January 2019 to December 2024. Parameters such as the number of cases, demographic characteristics, reasons for exclusion, and time of report were statistically analyzed and compared with those of non-CUE. Results: From 2019 to 2024, the CUE reporting rate in Zhengzhou was 0.002 6% (40/1 547 666). CUE donors were predominantly male (65.00%, 26/40), aged 18-34 years (47.50%, 19/40), had college degree orabove (50.00%, 20/40), and were employees of enterprises or public institutions (32.50%, 13/40). Among the 40 CUE blood units, only one was reactive for anti-TP, while all others were qualified. The main reasons for CUE were recent vaccination (32.50%, 13/40), medical conditions unsuitable for donation (27.50%, 11/40), and high-risk sexual behavior (17.50%, 7/40). A total of 70.00% of reports occurred within 24 hours after donation, during which none of the corresponding blood units had been released; all units reported after more than 7 days had already been issued for clinical use, with no adverse transfusion reactions reported upon follow-up. Conclusion: The confidential unit exclusion program has played an active role in establishing a supplementary information feedback channel for blood donors. The procedure can be optimized by strengthening interactive communication and confirmation before donation, improving the accuracy of donors' self-assessment, and expanding convenient and rapid information-based reporting channels.

Childhood bronchial asthma （hereinafter referred to as asthma） is frequently accompanied by comorbidities such as allergic rhinitis， eczema， allergic enteritis， tic disorders， and obesity. Based on the theory of "syndrome-based disease regulation"， this paper proposes that dampness， heat， and phlegm constitute the common pathological basis of asthma comorbidities in children living in cold regions. Focusing on the remission stage of asthma， this paper proposes that treatment should emphasize dispersing and draining pathogenic factors， diffusing and unblocking sanjiao （三焦）， with clearing heat， draining dampness， and resolving phlegm as the fundamental therapeutic principle. For asthma complicated by allergic rhinitis， Xiebai Wendan Decoction （泻白温胆汤） combined with Cang'erzi Powder （苍耳子散） is recommended. For asthma complicated by eczema， Baiguo Wendan Decoction （白果温胆汤） combined with Yiyi Zhuye Powder （薏苡竹叶散） is applied. For asthma complicated by allergic enteritis， Zhizhu Wendan Decoction （枳术温胆汤） is selected. For asthma complicated by tic disorders， Changyu Wendan Decoction （菖郁温胆汤） is used. And for asthma complicated by obesity， Zexie Wendan Decoction （泽泻温胆汤） is prescribed. This approach aims to achieve the therapeutic goals of "treating different diseases with the same principle" and "regulating both constitution and disease".

Objective:To conduct evidence synthesis on disease communication between parents and their minor children from the perspective of parents with cancer, so as to provide information for clinical healthcare providers to deliver improved health education to patients and their children.Methods:Computer retrieval was implemented in PubMed, CINAHL, Embase, Web of Science, PsycINFO, Cochrane Library, ProQuest, China National Knowledge Infrastructure, and Wanfang Data. The search period was from January 1, 2000 to March 6, 2025. The literature was assessed according to the Joanna Briggs Institute (JBI) Center for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research. The JBI aggregative integration method was employed for the Meta-synthesis.Results:A total of nine articles were included. Thirty-two results were extracted, divided into ten categories, and integrated into five results, namely willingness to communicate illness, factors influencing communicating willingness, disease communication strategies, supporting children's coping, and perceptions of illness information.Conclusions:Disease communication between cancer parents and their minor children is influenced by multiple factors and exhibits complex diversity. Healthcare providers should fully understand and accurately recognize the distinct approaches of parents with cancer, offering guidance, advice, and encouragement whenever possible, and should dynamically provide timely medical support and assistance tailored to the evolving needs of patients throughout different stages of their disease treatment.

Objective To investigate the relationship between vertical laminar fracture(VLF)in thoracolumbar burst fractures and both neurological injury and dural tear.Methods A retrospective analysis was conducted on the clinical data and multi spiral computed tomography(MSCT)coronal images of 255 patients of thoracolumbar burst fractures.The patients were divided into three groups based on the presence of VLF[Ⅰ group(complete VLF group),Ⅱ group(partial VLF group),and Ⅲ group(normal lamina group)].Statistical analysis was performed using analysis of variance and Fisher's exact test to compare radiological parameters,inci-dence of dural tear,and neurological injury among the groups.Results The Ⅰ group showed significant differences in spinal canal sagittal diameter,pedicle distance,and spinal canal area compared with the other two groups(P<0.05).However,there was no sig-nificant difference in vertebral body compression rate between the Ⅰ group and the Ⅱ group(P>0.05).The Ⅰ group had the high-est incidence of severe neurological injury[American Spinal Injury Association(ASIA)impairment scale grades A and B]and dural tear(P<0.05).Conclusion The severity of VLF is closely related to dural tear and neurological injury.MSCT coronal images can clearly display the extent of VLF,providing an important basis for clinical evaluation and treatment plan.

Objective:To investigate the current status of treatment delay and analyze its influencing factors in patients with breast cancer-related lymphedema.Methods:Using convenience sampling, 218 patients with breast cancer-related lymphedema from The First Affiliated Hospital of Zhengzhou University between April 2024 and January 2025 were enrolled. The General Information Questionnaire, Lymphedema Self-Management Support Scale for Breast Cancer Survivors (LSMS-BCs), Brief Illness Perception Questionnaire for Breast Cancer-related Lymphedema (BIPQ-BCRL), Perceived Barriers to Health Care-Seeking Decision-Chinese (PBHSD-C), and Health Literacy Scale for Chronic Patients (HLSCP) were used to conduct a cross-sectional survey. Logistic regression identified predictors of treatment delay, with model fit assessed by the Hosmer-Lemeshow test. Discriminative ability was evaluated using receiver operating characteristic (ROC) curve analysis.Results:The study included 218 female BCRL patients, aged (58.31 ± 10.54) years. Among 218 patients, 76 experienced treatment delay, the incidence of treatment delay was 34.8% (76/218). Independent risk factors included junior high school education or below, no regular arm circumference measurement, low self-management support scores, low illness perception scores, high perceived barriers to healthcare-seeking scores, and low health literacy scores (Wald χ2 values were 7.75-15.15, all P<0.05). The Hosmer-Lemeshow test indicated good model fit ( χ2=6.21, P>0.05). The combined predictive model demonstrated significantly better discrimination than individual factors, the area under the curve of ROC was 0.846 ( P<0.01). Conclusions:The incidence of treatment delay is relatively high among breast cancer-related lymphedema patients. Nursing staff should pay special attention to patients with a junior high school education or below, no regular arm circumference measurement, low LSMS-BCs scores, low BIPQ-BCRL scores, high PBHSD-C scores and low HLSCP scores, implement timely interventions to reduce treatment delay in lymphedema patients.

Objective To investigate the susceptibility and infection characteristics of dengue virus(DENV)in cells derived from diverse tissues of tree shrews and to provide a basis for expanding the repertoire of DENV-permissive cell models in this species.Methods DENV was inoculated at a multiplicity of infection(MOI)of 0.02 into tree shrew skin fibroblasts(TSFs),primary tree shrew renal epithelial cells(pTRECs),tree shrew aortic endothelial cells(TAECs),tree shrew aortic smooth muscle cells(TASMCs),tree shrew hepatocytes(THs),tree shrew corneal stromal cells(TCSCs),tree shrew brain microvascular endothelial cells(TBMECs),and tree shrew retinal microvascular endothelial cells(TRMECs).C6/36,Vero,A549,and BHK-21 cells(commonly used for DENV propagation)were used as positive controls.Over 6 days post-infection,cellular cytopathic effects were monitored at 12-hour intervals using an inverted microscope,viral RNA loads in cell lysates were quantified by real-time fluorescent quantitative PCR to generate proliferation curves,and viral titers were determined by plaque assay.Results Seven types of tree shrew cells,except TRMECs,were susceptible to DENV.Prolonged infection induced pronounced cytopathic effects,including cell rounding,detachment,necrosis,and lysis,across all susceptible cells.The viral RNA loads detected in lysates of pTRECs,TBMECs,TASMCs,TAECs and THs,approached those of positive controls(≥4×107 copies/μL).Infectious progeny viruses were produced by these five cell types,with three(TAECs,3.13×105 PFU/mL;THs,2.03×105 PFU/mL;pTRECs,1.58×105 PFU/mL)exhibiting titers comparable to C6/36(3.85×10 5 PFU/mL)and earlier viral harvests.Conclusion DENV exhibits broad susceptibility to tree shrew cells of multiple tissue origins,with proliferation rates surpassing those of conventional cell lines sourced from other species.TAECs,THs,and pTRECs are particularly suitable for large-scale DENV proliferation,suggesting their potential involvement in in vivo infection.

Aim To explore the potential mechanism of metformin on ATP-binding cassette transport A1(ABCA1)expression.Methods J774A.1 macrophages were treated with metformin and cycloheximide,and ABCA1 expression was determined by Western blot.His-tagged ABCA1 and HA-tagged Ub plasmids were co-transferred into HEK293 cells and stimulated with metformin.Co-immunoprecipitation(Co-IP)was used to test the binding ability of ABCA1 and ubiquitin.Candidate E3 ubiquitin-protein ligases(CE3)of ABCA1 were identified through Co-IP-based pro-teomics.The MIB1 plasmid was constructed and transferred into HEK293 cells,and Western blot was used to determine the effect of metformin and MIB1 on ABCA1 expression.Results Metformin increased the expression of ABCA1 in J774A.1 cells(P<0.01),and inhibited ABCA1 degradation(P<0.05).Metformin disrupted the binding of ABCA1 to ubiquitin(P<0.05).The proteins regulated by metformin in ABCA1 expression were primarily enriched in pathways re-lated to cell development,inflammation and immune defense.Metformin may upregulate ABCA1 protein expression via MIB1(P<0.05).Conclusion Metformin inhibits the degradation of ABCA1 by blocking the ubiquitin-proteasome system(UPS),and MIB1 might act as a candidate E3 ubiquitin-protein ligase(CE3)for ABCA1.

Objective:To systematically review the progress in the method development and application of distributed learning in the estimation of epidemiological effect and provide methodological reference for multi-center studies.Methods:We conducted a literature retrieval for English papers published up to December 31, 2023 by using keywords of "health/medical big data" and "distributed/federated learning". After consulting experts, we set criteria of paper inclusion and exclusion and created a framework for data extraction. We collected information about basic study details, including method, application, and evaluation. Two researchers independently screened the papers and extracted information. We used EndNote 20 for the management of literatures and EpiData for the management of data.Results:A total of 3 444 papers were collected, and 29 papers were included in the final analysis. Most of the papers (25, 86.2%) were published in or after 2019, and the papers were mainly from the United States (21/29, 72.4%). For the estimation of epidemiological effects, 22 distributed learning methods had been developed, including methods for logistic regression (8), Cox regression (8), Poisson regression (2), and generalized linear mixed model (GLMM) (4), as well as three platforms for distributed analysis (VLP, Vantage6, AusCAT). The 29 papers described 45 applications, with 20 (44.4%) focusing on the establishment of prediction model and 25 (55.6%) on association analysis. Importantly, except for GLMM, current distributed learning methods can estimate effects with little bias in 1-3 rounds of communication. These methods show less bias compared with meta-analysis, especially in the address of data heterogeneity and rare outcomes. However, less studies examined how differences in data structure and sparse data affect results, an area that requires further research.Conclusion:While distributed learning shows promise in epidemiological effect estimation, it is still in early development, requiring further research on data heterogeneity handling and communication efficiency improvement.

Objective To investigate the status and influencing factors of type 2 diabetes mellitus(T2DM)patients' fear of complications,and to provide a reference for formulating targeted intervention measures.Methods From April to November 2024,370 patients with T2DM in 2 tertiary general hospitals in Daqing City were selected by convenience sampling method.General data questionnaire,Fear of Complications Questionnaire,Self-Perceived Burden Scale,Psychological Capital Questionnaire,Mishel Uncertainty in Illness Scale and Family Apgar Index Questionnaire were used for investigation.Univariate analysis and binary Logistic regression were performed to analyze the influencing factors.Results A total of 364 valid questionnaires were collected,with an effective recovery rate of 98.38％.The score of Fear of Complications Questionnaire was(23.47±7.47),and the incidence of fear of complications was 22.25％.Logistic regression analysis showed that medical payment methods,the number of complications,positive psychological capital and family care were the influencing factors of FoC in T2DM patients.Conclusion The fear of complications in T2DM patients is at a moderate level.Nursing staff should pay attention to the early assessment of patients' fear of complications,promptly identify and take effective measures to reduce the level of patients' fear of complications,improve their quality of life.

Objective:To systematically review the progress in the method development and application of distributed learning in the estimation of epidemiological effect and provide methodological reference for multi-center studies.Methods:We conducted a literature retrieval for English papers published up to December 31, 2023 by using keywords of "health/medical big data" and "distributed/federated learning". After consulting experts, we set criteria of paper inclusion and exclusion and created a framework for data extraction. We collected information about basic study details, including method, application, and evaluation. Two researchers independently screened the papers and extracted information. We used EndNote 20 for the management of literatures and EpiData for the management of data.Results:A total of 3 444 papers were collected, and 29 papers were included in the final analysis. Most of the papers (25, 86.2%) were published in or after 2019, and the papers were mainly from the United States (21/29, 72.4%). For the estimation of epidemiological effects, 22 distributed learning methods had been developed, including methods for logistic regression (8), Cox regression (8), Poisson regression (2), and generalized linear mixed model (GLMM) (4), as well as three platforms for distributed analysis (VLP, Vantage6, AusCAT). The 29 papers described 45 applications, with 20 (44.4%) focusing on the establishment of prediction model and 25 (55.6%) on association analysis. Importantly, except for GLMM, current distributed learning methods can estimate effects with little bias in 1-3 rounds of communication. These methods show less bias compared with meta-analysis, especially in the address of data heterogeneity and rare outcomes. However, less studies examined how differences in data structure and sparse data affect results, an area that requires further research.Conclusion:While distributed learning shows promise in epidemiological effect estimation, it is still in early development, requiring further research on data heterogeneity handling and communication efficiency improvement.