Objective To investigate the status of intrinsic capacity (IC) in elderly inpatients and explore its correlation with sarcopenia and frailty. Methods A total of 320 elderly inpatients hospitalized from October 2021 to October 2024 were enrolled in this study. IC, frailty status, risk of sarcopenia, and basic activities of daily living were evaluated using the IC Comprehensive Assessment Tool, the Frailty Syndrome Rapid Screening Scale, the five-item Sarcopenia Index, and the Barthel index. The correlation between IC and sarcopenia and frailty in elderly inpatients was explored by logistic regression analysis. Results The average IC score, frailty score, 5-item sarcopenia scale score, and incidence rate of positive sarcopenia screening in the elderly inpatients were (4.08±0.52) points, (1.57±0.42) points, (3.84±0.59) points, and 33.75% (108/320), respectively. Logistic regression analysis showed that Barthel index (OR=0.286, 95%CI: 0.128-0.641, P=0.002), sarcopenia (OR=3.762, 95%CI: 1.793-7.892, P<0.001) and frailty (OR=1.236, 95%CI: 1.090-1.401, P=0.001) were the independent influencing factors for IC in the elderly. Conclusion IC decline is common in elderly patients, and elderly inpatients with sarcopenia, frailty or poor self-care ability have a higher risk of IC damage.

ObjectiveTo explore the complex network relationships among pain, kinesiophobia, social participation and knee function in patients after total knee arthroplasty (TKA), and to analyze the moderating effects of different socio-structural factors on the rehabilitation network from an ethical equity perspective. MethodsA convenience sampling method was used to select 291 patients who underwent TKA in Qilu Hospital of Shandong University from May to July, 2023. Pain was assessed using Numerical Rating Scale, kinesiophobia with Chinese short version of the Tampa Scale for Kinesiophobia, social participation with Impact on Participation and Autonomy Questionnaire, and knee function with Hospital for Special Surgery Knee Score. A partial correlation network among pain, kinesiophobia, social participation and knee function was constructed using Graphical Least Absolute Shrinkage and Selection Operator. Key variables were identified through node centrality and bridge centrality analysis. Network Comparison Tests (NCT) were used to analyze network differences among subgroups based on different socio-structural characteristics. ResultsIn the network model, the nodes with the highest strength centrality were indoor participation, activity behavior and activity pain. Bridge centrality analysis indicated that activity pain, knee function, indoor participation and activity cognition were key bridge nodes. NCT revealed no significant differences in overall network structure or global strength among subgroups based on residence, education level or payment method (P > 0.05). However, significant differences in edge weights were found for specific edges such as activity cognition-activity behavior and knee function-indoor participation (P < 0.05). ConclusionThere is a network of interactions among pain, kinesiophobia, social participation and knee function in patients after TKA, with nodes such as indoor participation and activity pain playing key roles in the rehabilitation process. Although the overall rehabilitation network is similar across different socio-structural groups, variations exist in specific relational pathways among patients from rural areas, those with lower education levels, and those with out-of-pocket payment. This suggests that clinical rehabilitation interventions should focus on these core nodes and implement targeted support strategies for socio-structurally disadvantaged groups to promote rehabilitation equity.

ObjectiveTo explore the complex network relationships among pain, kinesiophobia, social participation and knee function in patients after total knee arthroplasty (TKA), and to analyze the moderating effects of different socio-structural factors on the rehabilitation network from an ethical equity perspective. MethodsA convenience sampling method was used to select 291 patients who underwent TKA in Qilu Hospital of Shandong University from May to July, 2023. Pain was assessed using Numerical Rating Scale, kinesiophobia with Chinese short version of the Tampa Scale for Kinesiophobia, social participation with Impact on Participation and Autonomy Questionnaire, and knee function with Hospital for Special Surgery Knee Score. A partial correlation network among pain, kinesiophobia, social participation and knee function was constructed using Graphical Least Absolute Shrinkage and Selection Operator. Key variables were identified through node centrality and bridge centrality analysis. Network Comparison Tests (NCT) were used to analyze network differences among subgroups based on different socio-structural characteristics. ResultsIn the network model, the nodes with the highest strength centrality were indoor participation, activity behavior and activity pain. Bridge centrality analysis indicated that activity pain, knee function, indoor participation and activity cognition were key bridge nodes. NCT revealed no significant differences in overall network structure or global strength among subgroups based on residence, education level or payment method (P > 0.05). However, significant differences in edge weights were found for specific edges such as activity cognition-activity behavior and knee function-indoor participation (P < 0.05). ConclusionThere is a network of interactions among pain, kinesiophobia, social participation and knee function in patients after TKA, with nodes such as indoor participation and activity pain playing key roles in the rehabilitation process. Although the overall rehabilitation network is similar across different socio-structural groups, variations exist in specific relational pathways among patients from rural areas, those with lower education levels, and those with out-of-pocket payment. This suggests that clinical rehabilitation interventions should focus on these core nodes and implement targeted support strategies for socio-structurally disadvantaged groups to promote rehabilitation equity.

ObjectiveTo explore the complex network relationships among pain, kinesiophobia, social participation and knee function in patients after total knee arthroplasty (TKA), and to analyze the moderating effects of different socio-structural factors on the rehabilitation network from an ethical equity perspective. MethodsA convenience sampling method was used to select 291 patients who underwent TKA in Qilu Hospital of Shandong University from May to July, 2023. Pain was assessed using Numerical Rating Scale, kinesiophobia with Chinese short version of the Tampa Scale for Kinesiophobia, social participation with Impact on Participation and Autonomy Questionnaire, and knee function with Hospital for Special Surgery Knee Score. A partial correlation network among pain, kinesiophobia, social participation and knee function was constructed using Graphical Least Absolute Shrinkage and Selection Operator. Key variables were identified through node centrality and bridge centrality analysis. Network Comparison Tests (NCT) were used to analyze network differences among subgroups based on different socio-structural characteristics. ResultsIn the network model, the nodes with the highest strength centrality were indoor participation, activity behavior and activity pain. Bridge centrality analysis indicated that activity pain, knee function, indoor participation and activity cognition were key bridge nodes. NCT revealed no significant differences in overall network structure or global strength among subgroups based on residence, education level or payment method (P > 0.05). However, significant differences in edge weights were found for specific edges such as activity cognition-activity behavior and knee function-indoor participation (P < 0.05). ConclusionThere is a network of interactions among pain, kinesiophobia, social participation and knee function in patients after TKA, with nodes such as indoor participation and activity pain playing key roles in the rehabilitation process. Although the overall rehabilitation network is similar across different socio-structural groups, variations exist in specific relational pathways among patients from rural areas, those with lower education levels, and those with out-of-pocket payment. This suggests that clinical rehabilitation interventions should focus on these core nodes and implement targeted support strategies for socio-structurally disadvantaged groups to promote rehabilitation equity.

ObjectiveTo explore ethical dilemmas in amputation treatment, focusing on patient autonomy, informed consent and decision-making interaction between family members and medical teams, to provide references for clinical ethical decision-making and rehabilitation practice. MethodsThe decision-making process of amputation was analyzed from three dimensions, including patient autonomy, informed consent and shared decision-making of families and medical teams, in light of ethical principles such as non-maleficence, beneficence and justice. ResultsEthical decision-making in amputation was based on adequate informed consent of patients and their families. Medical teams made decisions on the premise of respecting patients' true will. Postoperative psychological support and social security system played a vital role in patients' rehabilitation, and national policy support was indispensable. ConclusionEthical decision-making for amputation should balance the responsibilities of medical teams and family participation on the basis of respecting patient autonomy and ensuring informed consent. Sound postoperative psychological support and social security system are essential for patients' comprehensive rehabilitation, which should be fully considered in clinical ethical practice.

ObjectiveTo systematically review and analyze the core ethical challenges accompanying technological convergence in the field of rehabilitation engineering, and to propose a forward-looking and actionable ethical governance framework. MethodsTaking the basic principles of policies and regulations, medical ethics, and scientific and technological ethics as the theoretical foundation, and combining with the application characteristics of rehabilitation engineering technology, this paper systematically sorted out the core issues existing in the ethical review of rehabilitation engineering, and conducted targeted analyses focusing on the key points of ethical governance. ResultsThis paper systematically reviewed the core ethical challenges arising from technological convergence in rehabilitation engineering, encompassing dilemmas of identity and autonomy, inequitable resource allocation and biases, data privacy and security risks, and accountability attribution difficulties in multi-stakeholder collaboration. It further proposed targeted governance recommendations along three dimensions: deepening ethical principles, improving review mechanisms and building capacity among diverse stakeholders. ConclusionRehabilitation engineering, leveraging artificial intelligence and robotics offers novel rehabilitation pathways for individuals with functional impairments, and has substantially improved therapeutic outcomes. Nevertheless, its widespread application is accompanied by ethical challenges, including privacy breaches, difficulties in liability attribution, inequitable service access, and emotional dependency. Governance pathways should be established around the refinement of ethical principles, the formulation of specific regulatory frameworks, and the cultivation of ethical competence among diverse stakeholders. Ethical considerations must be embedded throughout the entire lifecycle of technology research and development, clinical translation and deployment. Through the coordinated advancement of policy, technology and humanistic values, a balance can be struck between technological innovation and the protection of human rights, thereby fostering the beneficent and sustainable development of rehabilitation engineering.

With the rapid development of bioscience and biotechnology， xenotransplantation offers a new possibility for alleviating organ shortage， yet it also faces numerous ethical challenges. This paper discussed the major ethical issues involved in the clinical research of xenotransplantation， including the assessment of risk-benefit ratio， animal ethics， the particularity of informed consent， equity， conflicts in social ethical concepts， and other aspects. It was proposed that carrying out xenotransplantation clinical research requires comprehensive consideration of various factors. That is， it is necessary to adhere to the principle of “strict management and prudent development” while strengthening whole-process safety control， improve the relevant legal and regulatory system while building a full-chain supervision framework， establish and perfect ethical review committees while reinforcing the multi-level review and supervision mechanism， enhance animal welfare protection while following the ethical principle of reduction， replacement， and refinement， optimize the informed consent procedure while implementing continuous and dynamic informed consent， promote coordinated global governance while popularizing public science education， to ensure that the clinical research of xenotransplantation advances steadily on an ethically and morally sound track.

To investigate the clinical features and peripheral blood immune cell subsets ofelderly (≥60 years old) onset rheumatoid arthritis (EORA) patients.

With the rapid development of artificial intelligence （AI） technology， the ethical governance of AI has gained increasing attention. The Recommendation on the Ethics of Artificial Intelligence was issued by the United Nations Educational， Scientific and Cultural Organization in 2021， which clarified several principles for the ethical governance of AI. In the field of rehabilitation medicine， the research and application of AI technology have significantly improved patients’ quality of life and survival. However， due to the specificity of the service population in rehabilitation medicine， which is mostly for the sick， injured， disabled， and elderly， a series of complex ethical issues have also arisen. This paper analyzed in detail the ethical issues and challenges encountered in the research and application of AI technology in the field of rehabilitation medicine from various aspects， such as informed consent， security of privacy and data， patients’ physical and mental rehabilitation， compliance regulation， protection of specific groups， and promotion of equity. According to the principles of the Recommendation on the Ethics of Artificial Intelligence and others， response strategies were proposed， including multi-party collaboration and interdisciplinary cooperation， improving and refining relevant laws and regulations， strengthening ethical education across society， establishing accountability mechanisms， increasing investment， promoting equity， and other measures， to promote the healthy development of research and application of AI technology in the field of rehabilitation， as well as benefit humanity.

Liver transplantation (LT) has become a standard treatment for end-stage liver diseases, and graft injury is intricately associated with poor prognosis. Granzyme B (GZMB) plays a vital role in natural killer (NK) cell biology, but whether NK-derived GZMB affects graft injury remains elusive. Through the analysis of single-cell RNA-sequencing data obtained from human LT grafts and the isolation of lymphocytes from mouse livers following ischemia-reperfusion injury (IRI), we demonstrated that 2NK cells with high expression of GZMB are enriched in patients and mice. Both systemically and liver-targeted depletion of NK cells led to a notable reduction in GZMB⁺ cell infiltration, subsequently resulting in diminished graft injury. Notably, the reconstitution of Il2rg ^-/- Rag2 ^-/- mice with purified Gzmb-KO NK cells demonstrated superior outcomes compared to those with wild-type NK cells. Crucially, global knockout of GZMB and pharmacological inhibition exhibited remarkable improvements in liver function in both mouse IRI and rat LT models. Moreover, a phosphorylated derivative of FDA-approved vidarabine was identified as an effective inhibitor of mouse GZMB activity by molecular dynamics, which could provide a potential avenue for therapeutic intervention. Therefore, targeting NK cell-derived GZMB during the LT process suggests potential therapeutic strategies to improve post-transplant outcomes.