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.

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.

Objective:To evaluate the clinical efficacy of methylation sensitive-high resolution melting curve (MS-HRM) detection of IFN-induced protein 44-like (IFI44L) gene methylation in the diagnosis of systemic lupus erythematosus (SLE), as well as the relationship between IFI44L gene markers and the early onset of SLE.Methods:From February 2020 to September 2022, the MS-HRM was used to detect the methylation level of the IFI44L gene in peripheral blood mononuclear cells of 602 SLE patients and 524 other autoimmune disease patients (excluding SLE) from Beijing Peking Union Medical College Hospital, Guangdong Provincial People′s Hospital, and Shenzhen People′s Hospital, totaling 1 126 patients. Compared with the 2012 SLICC criteria, the suspected cases were followed up for 6 months until the onset and clinical diagnosis of SLE were confirmed. The measurement data of normal distribution were expressed as mean±SD, and the consistency analysis was performed using the Kappa consistency test. The clinical diagnostic efficacy indicators were calculated using the receiver operating characteristic (ROC) curve. Results:RR (95% CI) of early suspected cases was 17.06 (9.43, 30.82). The results of IFI44L gene methylation level were in good agreement with the 2012 SLICC criteria, and the sensitivity, specificity and total coincidence rate were 90.53%, 92.56% and 91.47%, respectively. The Kappa value (95% CI) was 0.829(0.796, 0.862) ( P<0.001). The diagnostic efficiency of IFI44L gene methylation level ( Kappa value 0.817) was superior to anti-nuclear antibody, anti-SM antibody and anti-dsDNA antibody ( Kappa value 0.418, 0.216 and 0.440, respectively). The Kappa values (95% CI) of methylation between MS-HRM and pyrosequencing was 0.861(0.806, 0.916), P<0.001. Conclusion:The hypomethylation of IFI44L gene methylation level detected by MS-HRM is closely related to the occurrence and development of SLE, and its diagnostic performance is better than that of three autoantibodies in SLE diagnosis, which can be used for the early diagnosis of SLE.

Chronic non-specific lower back pain(CNLBP)is one of the most common symptoms in clinical lower back pain,which is prone to recurrence and shows a trend towards younger age.Patients with CNLBP typically experience local pain,reduced joint mobility and balance dysfunction.In depth analysis of the relevant factors that cause balance dysfunction in CNLBP patients and intervention methods can reveal the biological(mechanical)mechanisms of balance dysfunction in patients with CNLBP and provide references and basis for the subsequent improvement of CNLBP intervention methods.This review summarizes the research status of the impact of CNLBP on patients' balance function and disease intervention methods from several aspects,including balance dysfunction in patients with CNLBP,damage to the motor and nervous system,and intervention methods for the disease.The aim is to provide references for the subsequent research on the pathogenesis and intervention methods of CNLBP.