Objective: To explore the association between the HLA antibody positivity rate in female blood donors and pregnancy history, number of pregnancies, interval from the last pregnancy to blood donation, and age, to identify associated variables using a univariate generalized additive model (GAM), and to further analyze the predictive role of characteristic variables for HLA antibody positivity using a random forest model. Methods: HLA antibody detection was performed on 391 female blood donors using the Luminex immunomagnetic bead method. The correlation between pregnancy-related factors and HLA antibodies was analyzed using the Chi-square test. Based on R software, a univariate GAM was first constructed to analyze the association types between characteristic variables and the HLA antibody positivity rate, followed by the construction of a random forest model to evaluate the predictive value of the variables. Results: Among the 391 female blood donors without a transfusion history, the overall HLA antibody positivity rate was 26.34%. The positivity rate in donors with a pregnancy history was significantly higher than that in those without (30.09% vs 9.72%, P<0.05), and HLA antibody positivity rate increased linearly with the number of pregnancies (P<0.05). In the univariate GAM, age and number of deliveries exhibited a non-linear association with the HLA antibody positivity rate (the positivity rate increased sharply between 25-35 years of age and stabilized after 3 deliveries). Besides, the interval from the last pregnancy to blood donation showed a linear association with the HLA antibody positivity rate, and the positivity rate decreased as the interval prolonged (P<0.05). In the random forest model, age (mean decrease gini=29.26) and interval from the last pregnancy to blood donation (mean decrease gini=22.02) were core predictive variables: age was more conducive to identifying positive samples, while the interval from the last pregnancy to blood donation was more helpful for excluding negative samples. The number of deliveries (mean decrease accuracy=16.98) made a significant contribution to predicting positive samples, whereas the number of abortions had no impact. The model had an AUC of 0.583 (95% CI: 0.593 8-0.770 2), indicating a certain predictive value. Conclusion: The associated variables identified by the univariate GAM model, including age, interval from the last pregnancy to blood donation, and number of deliveries, provide a basis for key variables in the random forest model. All three variables have predictive value for HLA antibody positivity, which can provide evidence-based support for personalized transfusion management and stratified screening of female blood donors in this region.

Objective:To systematically integrate the work experience of medical and nursing staff in the remote home palliative care model, so as to provide a reference for improving remote home palliative care services.Methods:Qualitative studies on medical and nursing staff providing remote home palliative care were electronically searched in PubMed, Web of Science, Embase, ProQuest, CINAHL, PsycINFO, China National Knowledge Infrastructure, Wanfang Data, VIP, and China Biology Medicine disc. The search period was from database establishment to April 30, 2024. Literature quality evaluation was conducted using the Joanna Briggs Institute Center for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research. The aggregative integration method was used to synthesize the findings.Results:Researchers repeatedly read, analyzed, and interpreted the 17 included literature, extracting 56 themes and summarizing eight new categories, and further synthesized three integrated results, namely, remote home palliative care provided patients with comprehensive physical, psychological, and mental care, as well as guidance and support for family members; remote home care helped to achieve full coverage of palliative care services; equipment limitations, information security risks, and incomplete processes restricted the development of remote palliative care.Conclusions:Remote home palliative care has improved patient care and family support capabilities, expanded service coverage, and promoted interdisciplinary collaboration. However, there are still issues such as equipment limitations, information security risks, and incomplete processes. Optimizing processes, improving safety mechanisms, and strengthening collaboration platforms will contribute to sustainable development.

Objective To explore the factors influencing cognitive frailty in elderly inpatients with chronic heart failure(CHF)during hospitalisation,8 prediction models were developed with various machine learning algorithms to identify the best model as a guidance for medical staff on clinical interventions.Methods Convenience sampling method was used to select 650 elderly CHF inpatients who stayed in our hospital between September 2023 and June 2024 as the study objects in the cross-sectional investigation.A total of 607 patients had completed the study.The patients were divided into a cognitive frailty group and a non-cognitive frailty group according to the presence or absence of cognitive frailty.Variables were initially screened using univariate analysis and stepwise Logistic regression.The total sample was then randomly divided into a training set(n=424)and a testing set(n=183)of a 7:3 ratio.Eight predictive models were created using the algorithms of neural network(NN),k-nearest neighbour(KNN),linear discriminant analysis(LDA),support vector machine(SVM),naive Bayes(NB),logistic regression,decision tree(DT)and random forest(RF)on the training set.The predictive performance of the models was compared using the data of the testing set.Results The prevalence of cognitive frailty in elderly CHF inpatients was 48.3%.Results of Logistic regression showed that age,marital status,education,body mass index,multi-morbidity,nutritional status,medication,frequency of weekly exercise and the living conditions were the key factors(P<0.05).The overall accuracy in classification of the eight predictive models ranged from 0.803 to 0.847,with F1-values of 0.778 to 0.833,precision of 0.848 to 0.897,and recall rate of 0.700 to 0.778.The area under the receiver operating characteristic curve was 0.820 to 0.901.Conclusion Of the eight predictive models,the prediction model created with LDA shows the best performance and prediction in terms of comprehensive prediction metrics,while the prediction model created with NN shows the worst performance in comprehensive prediction.

Objective To explore and analyze the adverse drug event(ADE)signals associated with pembrolizumab and to provide a reference for the real-world safety of drug use on elderly patients.Methods ADE reports of pembrolizumab in the general population and elderly population were collected from the FDA Adverse Event Reporting System(FAERS)for the period between January 1st,2019,and June 30th,2024.Multiple signal detection methods(ROR,PRR,MHRA)were employed for data mining.Classification and statistical analysis were performed using the System Organ Class(SOC)and Preferred Term(PT)from the MedDRA(Version 27.1)dictionary.Results A total of 966 signals were identified in the general population,spanning 24 SOCs,while 593 signals were detected in the elderly population,spanning 23 SOCs.Comparative visualization analysis of critical PTs under four major SOCs revealed no significant abnormal signals in elderly patients.Conclusion A comprehensive and multidimensional analysis of the ADE data from the FAERS database indicates that pembrolizumab appears to be relatively safe for use in elderly patients.

Objective:To systematically integrate the work experience of medical and nursing staff in the remote home palliative care model, so as to provide a reference for improving remote home palliative care services.Methods:Qualitative studies on medical and nursing staff providing remote home palliative care were electronically searched in PubMed, Web of Science, Embase, ProQuest, CINAHL, PsycINFO, China National Knowledge Infrastructure, Wanfang Data, VIP, and China Biology Medicine disc. The search period was from database establishment to April 30, 2024. Literature quality evaluation was conducted using the Joanna Briggs Institute Center for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research. The aggregative integration method was used to synthesize the findings.Results:Researchers repeatedly read, analyzed, and interpreted the 17 included literature, extracting 56 themes and summarizing eight new categories, and further synthesized three integrated results, namely, remote home palliative care provided patients with comprehensive physical, psychological, and mental care, as well as guidance and support for family members; remote home care helped to achieve full coverage of palliative care services; equipment limitations, information security risks, and incomplete processes restricted the development of remote palliative care.Conclusions:Remote home palliative care has improved patient care and family support capabilities, expanded service coverage, and promoted interdisciplinary collaboration. However, there are still issues such as equipment limitations, information security risks, and incomplete processes. Optimizing processes, improving safety mechanisms, and strengthening collaboration platforms will contribute to sustainable development.

To address the problem of data silos in dental specialties caused by equipment heterogeneity, this study developed an Intelligent Internet of Things (IoT)-enabled dental chair platform (hereinafter referred to as the intelligent platform) based on the concept of medical-engineering integration. The platform adopts a three-tier chair-domain interconnection architecture: the bottom tier integrates multi-source sensors and standardized interfaces for automated data acquisition and linkage with hospital information systems; the middle tier provides clinic-level management and remote teaching collaboration; and the top tier employs a blockchain-based secure cloud database for resource allocation and data management. Clinical validation at The Affiliated Stomatological Hospital of Nanjing Medical University demonstrated that, compared with a control group from the same period in 2023, the trial group achieved a 38.0% increase in average daily patient visits (80.6±6.8 vs. 58.4±5.2, t=15.16, P<0.001), a 24.6% reduction in average treatment time [(36.1±6.3) min vs. (47.9±8.5) min, t=7.72, P<0.001], a 39.2% reduction in waiting time [23.3 (16.5, 30.1) min vs. 38.3 (28.3, 48.3) min, U=32.00, P<0.001], a 30.4% reduction in equipment idle rate [8.7% (5.1%, 12.3%) vs. 12.5% (7.4%, 17.6%), U=251.00, P=0.003], and an increase in patient satisfaction from 88.2% (1 519/1 723) to 94.3% (2 186/2 318) ( t=7.26, P<0.001). User research confirmed that the functions most favored by clinicians and patients were "dental chair parameter updating and clinical data integration" [74.7% (80/107)] and "chairside display of diagnostic images" [76.8% (119/155)], respectively. Looking forward, the intelligent platform has the potential to integrate artificial intelligence-assisted diagnosis and 5G-enabled multicenter collaboration to further expand its clinical applications and accelerate the digital transformation of dental healthcare.

Background and purpose:Immune checkpoint blockade(ICB)has become a promising strategy for treating cervical cancer(CC),but terminal T cell depletion still limits the therapeutic efficacy of ICB.The deletion of sorting nexin-9(SNX9)can inhibit thymocyte selection-associated high mobility group box protein(TOX),alleviate T cell exhaustion,and provide new ideas for preventing T cell exhaustion and enhancing the efficacy of cancer immunotherapy.Therefore,this study aimed to explore the immune escape mechanism mediated by the depletion of CD8+T cells induced by the SNX9/TOX signaling pathway in the CC microenvironment.Methods:Fifty-four peripheral blood samples were collected,including 18 from CC patients,18 from patients with high-grade squamous intraepithelial lesions(HSIL)and 18 from subjects with normal cervix.In addition,the study collected 153 pairs of CC and adjacent tissues from patients who received operation in our hospital for the first time.Clinicopathological features,tumor stages,follow-up records and other relevant clinicopathological data of CC patients were obtained from hospital records.The research was approved by the ethics committee of Changsha Fourth Hospital(approval number:20220206).A total of 24 mice were randomly assigned to the following four groups:immunoglobulin G(IgG)group,Anti-SNX9 group,Anti-programmed death-1(PD-1)group and Anti-SNX9+Anti-PD-1 group,with 6 mice in each group.Each group received intraperitoneal injection of blocking antibody and isotype control treatment respectively.ELISpot was used to detect the ability of CD8+T cells to secrete tumor necrosis factor-α(TNF-α)and interferon-γ(IFN-γ).The expressions of TOX and SNX9 in cervical cancer tissues were detected by western blot and immunohistochemistry.Results:The expressions of SNX9 and TOX mRNA in peripheral blood mononuclear cell(PBMC)of CC patients were higher compared with HSIL and normal controls(P＜0.05).The positive cell level of SNX9 and TOX immunohistochemical score were higher in CC tissue than in adjacent tissues(t=18.63,21.10,P＜0.001).The high expression of SNX9 in CC was related to low differentiation/undifferentiation,tumor size,parauterine infiltration,vaginal infiltration,late FIGO stage and pelvic lymph node metastasis(P＜0.05).Compared with the low expression group of SNX9,the overall survival time of CC patients in the high expression group of SNX9 was shorter(P＜0.05).The percentage of CD8+SNX9+T cells was significantly higher in CC patients than in normal controls and HSIL patients(P＜0.05).The ability of CD8+SNX9+T cells to secrete cytokines(TNF-α and IFN-γ)was significantly lower compared with CD8+SNX9-T cells(P＜0.05).Compared with the Anti-SNX9 group,the growth and proliferation of cervical tumor,the expression of SNX9 and TOX protein in tumor tissue in the Anti-SNX9+Anti-PD-1 group further decreased(P＜0.05),and the level of infiltrating CD8+T lymphocytes in tumor tissue and the ability of CD8+T lymphocytes to secrete functional factors TNF-α and IFN-γ further increased(P＜0.05).Conclusion:SNX9/TOX signaling pathway exhibits enhanced activity in patients with cervical cancer and mouse models,and is related to immunosuppression.Targeting SNX9/TOX signaling pathway may be a potential therapeutic strategy for CC.

Background and purpose:Immune checkpoint blockade(ICB)has become a promising strategy for treating cervical cancer(CC),but terminal T cell depletion still limits the therapeutic efficacy of ICB.The deletion of sorting nexin-9(SNX9)can inhibit thymocyte selection-associated high mobility group box protein(TOX),alleviate T cell exhaustion,and provide new ideas for preventing T cell exhaustion and enhancing the efficacy of cancer immunotherapy.Therefore,this study aimed to explore the immune escape mechanism mediated by the depletion of CD8+T cells induced by the SNX9/TOX signaling pathway in the CC microenvironment.Methods:Fifty-four peripheral blood samples were collected,including 18 from CC patients,18 from patients with high-grade squamous intraepithelial lesions(HSIL)and 18 from subjects with normal cervix.In addition,the study collected 153 pairs of CC and adjacent tissues from patients who received operation in our hospital for the first time.Clinicopathological features,tumor stages,follow-up records and other relevant clinicopathological data of CC patients were obtained from hospital records.The research was approved by the ethics committee of Changsha Fourth Hospital(approval number:20220206).A total of 24 mice were randomly assigned to the following four groups:immunoglobulin G(IgG)group,Anti-SNX9 group,Anti-programmed death-1(PD-1)group and Anti-SNX9+Anti-PD-1 group,with 6 mice in each group.Each group received intraperitoneal injection of blocking antibody and isotype control treatment respectively.ELISpot was used to detect the ability of CD8+T cells to secrete tumor necrosis factor-α(TNF-α)and interferon-γ(IFN-γ).The expressions of TOX and SNX9 in cervical cancer tissues were detected by western blot and immunohistochemistry.Results:The expressions of SNX9 and TOX mRNA in peripheral blood mononuclear cell(PBMC)of CC patients were higher compared with HSIL and normal controls(P＜0.05).The positive cell level of SNX9 and TOX immunohistochemical score were higher in CC tissue than in adjacent tissues(t=18.63,21.10,P＜0.001).The high expression of SNX9 in CC was related to low differentiation/undifferentiation,tumor size,parauterine infiltration,vaginal infiltration,late FIGO stage and pelvic lymph node metastasis(P＜0.05).Compared with the low expression group of SNX9,the overall survival time of CC patients in the high expression group of SNX9 was shorter(P＜0.05).The percentage of CD8+SNX9+T cells was significantly higher in CC patients than in normal controls and HSIL patients(P＜0.05).The ability of CD8+SNX9+T cells to secrete cytokines(TNF-α and IFN-γ)was significantly lower compared with CD8+SNX9-T cells(P＜0.05).Compared with the Anti-SNX9 group,the growth and proliferation of cervical tumor,the expression of SNX9 and TOX protein in tumor tissue in the Anti-SNX9+Anti-PD-1 group further decreased(P＜0.05),and the level of infiltrating CD8+T lymphocytes in tumor tissue and the ability of CD8+T lymphocytes to secrete functional factors TNF-α and IFN-γ further increased(P＜0.05).Conclusion:SNX9/TOX signaling pathway exhibits enhanced activity in patients with cervical cancer and mouse models,and is related to immunosuppression.Targeting SNX9/TOX signaling pathway may be a potential therapeutic strategy for CC.

Allergic conjunctivitis has a high incidence rate, which is difficult to cure after repeated attacks, and seriously affects people's quality of life.Animal models are the main tools and means for the study of allergic conjunctivitis diseases, and animal modeling is an important step in the study of allergic conjunctivitis diseases.Because the study of allergic conjunctivitis is relatively late than that of other allergic diseases, the animal model of allergic conjunctivitis mainly refers to the animal model building methods of allergic asthma, rhinitis and other allergic diseases, or makes improvements on them, resulting in a variety of animal model building methods, poor reference of animal model building methods, and low survival rate and success rate of animal model building.This paper analyzes the pathogenic mechanism of allergic conjunctivitis and the purpose of animal modeling, searches and analyzes the modeling process of allergic conjunctivitis in Pubmed in the past 10 years, sorted and analyzed the modeling methods according to the sensitization mechanism, and summarized four modeling process models, which provided a reference for the selection of animal strains, sensitization dose and sensitization process in the modeling of allergic conjunctivitis.

Allergic conjunctivitis has a high incidence rate, which is difficult to cure after repeated attacks, and seriously affects people's quality of life.Animal models are the main tools and means for the study of allergic conjunctivitis diseases, and animal modeling is an important step in the study of allergic conjunctivitis diseases.Because the study of allergic conjunctivitis is relatively late than that of other allergic diseases, the animal model of allergic conjunctivitis mainly refers to the animal model building methods of allergic asthma, rhinitis and other allergic diseases, or makes improvements on them, resulting in a variety of animal model building methods, poor reference of animal model building methods, and low survival rate and success rate of animal model building.This paper analyzes the pathogenic mechanism of allergic conjunctivitis and the purpose of animal modeling, searches and analyzes the modeling process of allergic conjunctivitis in Pubmed in the past 10 years, sorted and analyzed the modeling methods according to the sensitization mechanism, and summarized four modeling process models, which provided a reference for the selection of animal strains, sensitization dose and sensitization process in the modeling of allergic conjunctivitis.