Objective:To conduct a scope review of relevant studies on the application of virtual reality (VR) technology in breast cancer patients, identifying the basic content of interventions, outcome indicators, and application effects, with the aim of providing a reference for clinical healthcare professionals applying this technology.Methods:Based on the research methodology for scope reviews, a computer search was conducted in Chinese and English databases, including China National Knowledge Infrastructure, Wanfang Database, VIP, China Biology Medicine disc, PubMed, Web of Science, Cochrane Library, and Embase, with the search period extending to August 31, 2023. A categorical analysis of the included literature was conducted.Results:A total of 15 articles were included, primarily discussing the effects of VR technology on breast cancer patients' physical health, psychological well-being, cognitive function, and quality of life. Intervention frequencies were mainly once or twice daily, or twice weekly, with intervention durations ranging from 10 to 90 minutes and intervention periods from 2 to 12 weeks. VR interventions were found to improve physical function, psychological health, and cognitive function to some extent, increase patient rehabilitation adherence and satisfaction, and improve quality of life.Conclusions:VR technology can be an effective tool to support the treatment of breast cancer patients. However, the design of intervention protocols needs improvement. Future large-sample, multi-center, long-term follow-up randomized controlled trials are needed to verify the application effects of VR technology for breast cancer patients and promote its clinical application.

Objective To develop and validate a risk prediction model for social dysfunction in middle-aged and elderly patients with ischemic stroke.Methods A non-matched case-control study was conducted among ischemic stroke patients admitted to the neurology department of a tertiary hospital in Tangshan between August 2022 and March 2023.Patients who developed social dysfunction within 3 months after discharge were assigned to a case group,while those without it were assigned to a control group.Multivariate logistic regression was used to identify significant predictors and construct a nomogram-based prediction model.The model's discrimination and calibration were assessed using the area under the receiver operating characteristic curve(AUC)and the Hosmer-Lemeshow test.Internal validation was performed via bootstrap resampling,and clinical utility was evaluated using decision curve analysis.Results Logistic regression identified the following as significant risk factors for social dysfunction(P＜0.05):male gender,age≥60 years,primary education or below,rural residence,income＜3 000,cognitive impairment,low disability acceptance,poor self-management ability,suboptimal utilization of chronic disease resources,low future-oriented coping,and high cumulative ecological risk.The nomogram achieved an AUC of 0.874,with a sensitivity of 79.4％and specificity of 80.7％.The Hosmer-Lemeshow test indicated good calibration(x2=3.631,P=0.88).Conclusion The developed nomogram provides an effective tool for predicting the risk of social dysfunction in middle-aged and elderly ischemic stroke patients,facilitating early identification of high-risk individuals.

Lung cancer remains the leading cause of cancer-related incidence and mortality worldwide. Among its histological subtypes, non-small cell lung cancer (NSCLC) accounts for the majority of cases, representing the predominant pathological type. Notably, in the elderly population, NSCLC continues to be a major contributor to cancer-related deaths. With the global ageing population, immunosenescence has emerged as a key factor influencing the occurrence, progression, and the efficacy of immunotherapy of NSCLC. Immunosenescence refers to the age-related decline in immune system function, which manifests as alterations in both the quantity and functionality of immune cells. These include thymic involution, T cell exhaustion, epigenetic modifications, weakened immune responses, and a chronic low-grade inflammatory state. This review comprehensively analyzes the role of immunosenescence in elderly patients with advanced NSCLC and proposes potential therapeutic strategies to intervene in the immunosenescence process. By targeting immunosenescence, these strategies aim to inhibit the progression of NSCLC and improve the effectiveness of immunotherapy.
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Humans ; Carcinoma, Non-Small-Cell Lung/genetics* ; Immunotherapy ; Lung Neoplasms/genetics* ; Immunosenescence ; Aged

ObjectiveTo investigate the association of SH2B1 rs7359397 （C>T） polymorphism with the progression to hepatic fibrosis in the elderly patients with metabolic dysfunction-associated steatotic liver disease （MASLD） in Beijing， China， and to provide an important genetic basis for the precise subtyping， prognostic evaluation， and individualized treatment of elderly MASLD patients in China. MethodsA total of 505 elderly patients （aged ≥65 years） who participated in regular physical examination in Mentougou Kuangshan Hospital of Beijing Jingmei Group General Hospital from November 2020 to September 2021 and were diagnosed with MASLD by abdominal ultrasound were enrolled as MASLD group， and 381 elderly population who underwent physical examination in the same community hospital during the same period of time and were not found to have MASLD by abdominal ultrasound were enrolled as control group. FibroScan was used to measure liver fat content and determine fibrosis stage. The 96-well microfluidic chip technique was used to identify SH2B1 rs7359397 polymorphism. The independent-samples t test was used for comparison of normally distributed continuous data between the two groups， and the chi-square test or the adjusted chi-square test was used for comparison of categorical data between the two groups. Univariate and multivariate Logistic regression analyses were used to identify the independent predictive factors for MASLD and its comorbidities. ResultsCompared with the control group， the MASLD group had a significantly younger age and significantly higher levels of waist circumference， hip circumference， waist-hip ratio， body mass index （BMI）， alanine aminotransferase， aspartate aminotransferase， triglyceride， platelet count， and fibrosis-4 （FIB-4） index， as well as a significantly lower level of high-density lipoprotein cholesterol （all P<0.05）. Among the 381 patients in the control group， 264 （69.29%） had genotype CC and 117 （30.71%） had genotype CT+TT， while among the 505 patients in the MASLD group， 317 （62.77%） had genotype CC and 188 （37.23%） had genotype CT+TT， suggesting that the MASLD group had a significantly higher proportion of patients with genotype CT+TT compared with the control group （χ²=4.09， P=0.043）. In the MASLD group， compared with the genotype CC group， the genotype CT+TT group had a significantly lower proportion of patients with FIB-4 ≥2 or atherosclerotic cardiovascular diseases （P<0.05）. The multivariate Logistic regression analysis showed that after adjustment for age， sex， and BMI， carrying T allele was a protective factor against progressive hepatic fibrosis （odds ratio ［OR］=0.481， 95% confidence interval ［CI］： 0.249 — 0.929， P=0.029）. In the subgroups of comorbidities with hypertension， metabolic syndrome， and obesity， genotype CT+TT was associated with a significant reduction in the risk of progressive hepatic fibrosis （hypertension： OR=0.27， 95%CI：0.09 — 0.77， P=0.014； metabolic syndrome： OR=0.30， 95%CI： 0.11 — 0.79， P=0.015； obesity： OR=0.11， 95%CI： 0.03 — 0.48， P=0.003）. After adjustment for age， sex， and BMI， in the patients with MASLD， the patients with genotype CT+TT had a significant reduction in the prevalence rate of atherosclerotic cardiovascular diseases compared with those with genotype CC （OR=0.506， 95%CI：0.336 — 0.761， P=0.001）. ConclusionSH2B1 rs7359397 （C>T） polymorphism is associated with the reduction in the risk of hepatic fibrosis and atherosclerotic cardiovascular diseases in MASLD patients.

Objective To explore the potential molecular mechanism of Maitong Jun'an decoction(MTJA)in the treatment of coronary heart disease based on network pharmacology,molecular docking and animal experiments.Methods The main active components and corresponding protein targets of MTJA were screened in Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and SwissTargetPrediction combined with literatures.Genes associated with myocardial infarction and heart failure in coronary heart disease were searched in DisGeNET,Genecards and Online Mendelian Inheritance in Man(OMIM)databases.The intersection of compound targets and disease targets was obtained,and"medicine-composition-target-disease"network was constructed.The overlapping targets were imported into STRING database to construct protein-protein interaction(PPI)network.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were performed on the targets,and molecular docking studies were further conducted on the core targets and active compounds.The rat model of myocardial infarction was established.The morphological and pathological changes of heart tissue were observed by hematoxylin-eosin staining,and the expression of core target protein was detected by Western blotting.Results There were 264 nodes and 1 193 interrelationships in the"medicine-composition-target-disease"network.Quercetin and kaempferol were the key components as ranked by degree value.The proteins with high degree in PPI network were interleukin(IL)-6,IL-1β and protein kinase B 1(Akt1).GO and KEGG analyses showed that the mechanism of MTJA in the treatment of coronary heart disease mainly involved lipids and atherosclerosis,advanced glycation end product(AGE)-receptor for advanced glycation end product(RAGE)signaling pathway in diabetes complications,fluid shear stress and atherosclerosis,IL-17 signaling pathway,etc.The results of molecular docking showed that the important compounds of MTJA had strong binding ability with the core target.The results of animal experiments showed that MTJA could significantly alleviate the myocardial injury in rats with myocardial infarction,and reduce the expression levels of IL-1β and IL-6 proteins in apical tissue of rats with coronary heart disease.Conclusion MTJA may play a role in the treatment of coronary heart disease by reducing the expression levels of IL-1β and IL-6 proteins.

Objective To explore the factors affecting social frailty in elderly patients with mild ischemic stroke and conduct interpretable analysis to provide references for the implementation of targeted intervention.Methods Using convenience sampling method,elderly mild ischemic stroke patients treated in a tertiary A hospital in Tangshan from September 2022 to August 2023 were selected as the survey subjects according to whether social weakness and no social weakness occurred 6 months after discharge.General Information Questionnaire,Chronic Illness Resources Survey,Family Care Index Questionnaire,Instrumental Activities of Daily Living Scale,Mini-Mental State Examination,International Physical Activity Questionnaire Short Form,and Social Frailty Scale were uesd to investigate.Univariate analysis,random forest-feature recurrence elimination screening variables were used to construct random forest models,and SHAP values were introduced for influencing factor analysis.Results A total of 818 elderly patients with mild ischemic stroke were included,and 110 patients were lost at 6 months,and 708 patients(86.55％)finally completed the survey.The prediction accuracy of random forest model was 0.828 and 0.807 in the training set and test set.The SHAP interpretability analysis results showed that impaired self-care ability,sedentary behavior,and the number of combined chronic diseases were positively associated with social weakness,ideal utilization of chronic disease resources,good family care and social weakness;the importance of characteristics was self-care ability,chronic disease resource utilization,family care,sedentary behavior,and combined chronic diseases.Conclusion The influencing factors of social frailty in elderly patients with mild ischemic stroke are complex,so medical staff should pay attention to the social function of elderly patients with mild ischemic stroke,and reduce the risk of social frailty by formulating personalized intervention measures.

Objective To develop and validate a risk prediction model for social dysfunction in middle-aged and elderly patients with ischemic stroke.Methods A non-matched case-control study was conducted among ischemic stroke patients admitted to the neurology department of a tertiary hospital in Tangshan between August 2022 and March 2023.Patients who developed social dysfunction within 3 months after discharge were assigned to a case group,while those without it were assigned to a control group.Multivariate logistic regression was used to identify significant predictors and construct a nomogram-based prediction model.The model's discrimination and calibration were assessed using the area under the receiver operating characteristic curve(AUC)and the Hosmer-Lemeshow test.Internal validation was performed via bootstrap resampling,and clinical utility was evaluated using decision curve analysis.Results Logistic regression identified the following as significant risk factors for social dysfunction(P＜0.05):male gender,age≥60 years,primary education or below,rural residence,income＜3 000,cognitive impairment,low disability acceptance,poor self-management ability,suboptimal utilization of chronic disease resources,low future-oriented coping,and high cumulative ecological risk.The nomogram achieved an AUC of 0.874,with a sensitivity of 79.4％and specificity of 80.7％.The Hosmer-Lemeshow test indicated good calibration(x2=3.631,P=0.88).Conclusion The developed nomogram provides an effective tool for predicting the risk of social dysfunction in middle-aged and elderly ischemic stroke patients,facilitating early identification of high-risk individuals.

Objective To explore the factors affecting social frailty in elderly patients with mild ischemic stroke and conduct interpretable analysis to provide references for the implementation of targeted intervention.Methods Using convenience sampling method,elderly mild ischemic stroke patients treated in a tertiary A hospital in Tangshan from September 2022 to August 2023 were selected as the survey subjects according to whether social weakness and no social weakness occurred 6 months after discharge.General Information Questionnaire,Chronic Illness Resources Survey,Family Care Index Questionnaire,Instrumental Activities of Daily Living Scale,Mini-Mental State Examination,International Physical Activity Questionnaire Short Form,and Social Frailty Scale were uesd to investigate.Univariate analysis,random forest-feature recurrence elimination screening variables were used to construct random forest models,and SHAP values were introduced for influencing factor analysis.Results A total of 818 elderly patients with mild ischemic stroke were included,and 110 patients were lost at 6 months,and 708 patients(86.55％)finally completed the survey.The prediction accuracy of random forest model was 0.828 and 0.807 in the training set and test set.The SHAP interpretability analysis results showed that impaired self-care ability,sedentary behavior,and the number of combined chronic diseases were positively associated with social weakness,ideal utilization of chronic disease resources,good family care and social weakness;the importance of characteristics was self-care ability,chronic disease resource utilization,family care,sedentary behavior,and combined chronic diseases.Conclusion The influencing factors of social frailty in elderly patients with mild ischemic stroke are complex,so medical staff should pay attention to the social function of elderly patients with mild ischemic stroke,and reduce the risk of social frailty by formulating personalized intervention measures.

Objective:To conduct a scope review of relevant studies on the application of virtual reality (VR) technology in breast cancer patients, identifying the basic content of interventions, outcome indicators, and application effects, with the aim of providing a reference for clinical healthcare professionals applying this technology.Methods:Based on the research methodology for scope reviews, a computer search was conducted in Chinese and English databases, including China National Knowledge Infrastructure, Wanfang Database, VIP, China Biology Medicine disc, PubMed, Web of Science, Cochrane Library, and Embase, with the search period extending to August 31, 2023. A categorical analysis of the included literature was conducted.Results:A total of 15 articles were included, primarily discussing the effects of VR technology on breast cancer patients' physical health, psychological well-being, cognitive function, and quality of life. Intervention frequencies were mainly once or twice daily, or twice weekly, with intervention durations ranging from 10 to 90 minutes and intervention periods from 2 to 12 weeks. VR interventions were found to improve physical function, psychological health, and cognitive function to some extent, increase patient rehabilitation adherence and satisfaction, and improve quality of life.Conclusions:VR technology can be an effective tool to support the treatment of breast cancer patients. However, the design of intervention protocols needs improvement. Future large-sample, multi-center, long-term follow-up randomized controlled trials are needed to verify the application effects of VR technology for breast cancer patients and promote its clinical application.

Objective:To investigate the pathway of self-disclosure to posttraumatic growth in patients after cervical cancer surgery, and to provide reference for improving the level of posttraumatic growth in patients.Methods:A convenient sampling method was used to investigate 300 patients with cervical cancer after surgery in Shandong Provincial Hospital Affiliated to Shandong First Medical University from June to November 2022 by using general data questionnaire, Distress Disclosure Index (DDI), Connor-Davidson Resilience Scale (CD-RISC), the Shortened Chinese Version of the Family Resilience Assessment Scale (FRAS-C) and the Posttraumatic Growth Inventory (PTGI) in a cross-section study.Results:A total of 290 valid questionnaires were collected, with an effective recovery rate of 96.7%. The patients were aged 23-70(48.13 ± 10.39) years. The scores of self-disclosure, resilience, family resilience and posttraumatic growth were (46.41 ± 9.82), (67.06 ± 14.63), (108.18 ± 11.06) and (58.24 ± 17.86) respectively. The results of pathway analysis showed that self-disclosure could not only directly predict posttraumatic growth, but also indirectly predict posttraumatic growth through the mediating role of resilience and family resilience, and the chain mediating role of resilience and family resilience, respectively. The direct effect of self-disclosure on posttraumatic growth was 0.236(95% CI 0.138-0.335), and the chain mediating effect of family resilience and resilience between self-disclosure and posttraumatic growth was 0.036(95% CI 0.018-0.060). Conclusions:Medical staff should not only consider the direct influence of self-disclosure on posttraumatic growth, but also pay attention to improve the resilience and family flexibility of patients after cervical cancer surgery, so as to promote their posttraumatic growth.