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.

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.

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.

AIM:To investigate the expression of AU-rich element RNA-binding factor 1(AUF1),an RNA-binding protein,in hepatocellular carcinoma(HCC),and to explore its potential role in HCC progression through regula-tion of metabolism-related genes.METHODS:A tissue microarray containing 99 HCC samples and 95 adjacent nontu-morous liver tissues was used to assess AUF1 expression.The associations between AUF1 expression and HCC clinical pa-rameters were analysed using the GEPIA and UALCAN databases.The AUF1 gene was knocked down in human hepato-blastoma HepG2 cells by siRNA,and transcriptomic and TMT quantitative proteomic analyses were performed to identify alterations in metabolism-related genes.RESULTS:The AUF1 expression was significantly elevated in HCC tissues and correlated with a poor prognosis.Knockdown of AUF1 in HepG2 cells resulted in reduced cell viability and increased apop-tosis.Integrative analyses of transcriptomic and proteomic data revealed that AUF1 knockdown in HepG2 cells led to up-regulation of carboxylesterase 3(CES3),fibrinogen gamma chain(FGG)and 4-hydroxy-2-oxoglutarate aldolase 1(HOGA1),and down-regulation of lamin B receptor(LBR),riboflavin kinase(RFK),sterol O-acyltransferase 1(SOAT1)and TWIST neighbor(TWISTNB).Clinical data from GEPIA and UALCAN databases suggested that the expression of these metabolism-related genes in HCC patients exhibited an opposite trend.CONCLUSION:Our findings suggest that AUF1 is highly expressed in HCC,and may contribute to tumor progression and poor prognosis by modulating the expres-sion of a series of metabolism-related genes.

Objective To analyze the relationship between type 2 diabetes mellitus(T2DM)and cognitive disorder in middle-aged and elderly patients with Parkinson's disease(PD),and to identify risk factors for cognitive disorder in PD patients.Methods The clinical data of patients aged≥50 years and hospitalized for PD in Xijing Hospital of Air Force Medical University from Jan.2010 to Dec.2021 were collected,including demographic characteristics,general clinical features,laboratory indicators,etc.The cognitive status was evaluated by mini-mental state examination(MMSE).A total of 281 PD patients were assigned to T2DM group or non-T2DM group,and MMSE original score,standardized score,and cognitive status were compared between the 2 groups.The 281 patients were reassigned to normal cognition group or abnormal cognition group,then multivariate logistic regression was used to analyze the risk factors of cognitive disorder in middle-aged and elderly patients with PD.Results The MMSE original score and standardized score in the T2DM group were significantly lower than those in the non-T2DM group(23[18,25]vs 24[21,27],P=0.011;-1[-3,2]vs 1[-1,3],P=0.004),and the detection rate of cognitive disorder was significantly higher than that of the non-T2DM group(53.57%[45/84]vs 33.50%[66/197],P=0.002).Multivariate logistic regression analysis showed that T2DM(odds ratio[OR]=2.452,95%confidence interval[95%CI]1.397-4.306,P=0.002),place of residence(OR=2.208,95%CI 1.261-3.868,P=0.006),and age(OR=1.054,95%CI 1.006-1.104,P=0.028)were risk factors for cognitive disorder in middle-aged and elderly patients with PD,while serum uric acid(OR=0.274,95%CI 0.098-0.768,P=0.014)was protective factor for cognitive disorder in middle-aged and elderly patients with PD.Conclusion T2DM,rural area,advanced age,and hypouricemia are independent risk factors for cognitive disorder in middle-aged and elderly patients with PD.For middle-aged and elderly PD patients with T2DM,screening for cognitive disorder should be strengthened for early prevention and intervention.

Objective To investigate the clinical efficacy of pan-immune inflammatory value(PIV)in pre-dicting the prognosis of elderly patients with severe pneumonia(SP).Methods A total of 160 elderly patients with SP admitted to this hospital from January to June 2023 were selected as the study group,and 100 elderly patients with common pneumonia in the hospital in the same period were selected as the control group.Ac-cording to the prognosis at discharge,the patients were divided into good prognosis group(128 cases)and poor prognosis group(32 cases).Neutrophil count,platelet count,monocyte count and lymphocyte count were detected by automatic blood cell analyzer,and PIV was finally calculated.Receiver operating characteristic(ROC)curve was used to analyze the prognostic value of PIV in elderly patients with SP.Multivariate Logis-tic regression was used to analyze the prognostic factors in elderly patients with SP.Results The counts of neutrophil,monocyte and PIV in control group were lower than those in study group,and the counts of lym-phocytes,platelet in control group were higher than those in study group,the difference was statistically sig-nificant(P＜0.05).Neutrophil,monocyte count and PIV in the good prognosis group were significantly lower than those in the poor prognosis group,and platelet count and lymphocyte count in the good prognosis group were higher than those in the poor prognosis group,with statistical significance(P＜0.05).ROC curve analy-sis showed that the area under the curve of PIV in predicting poor prognosis in elderly SP patients was 0.941,which was larger than that of neutrophil,monocyte,platelet count and lymphocyte count(P＜0.001).The proportion of mechanical ventilation,C rection protein(CRP)and procalcitonin(PCT)levels in poor progno-sis group were higher than those in good prognosis group(P＜0.05).Multivariate Logistic regression analysis showed that mechanical ventilation,CRP,PCT and PIV were independent risk factors for the prognosis of eld-erly SP patients(P＜0.05).Conclusion PIV is an independent risk factor for predicting the prognosis of eld-erly patients with SP.PIV is an important prognostic factor for elderly patients with SP.

Objective:This current study aims to explore the approaches for constructing a professional clinical research system within the context of research ward development, with the ultimate objective of providing valuable guidance for the establishment and development of proficient clinical research teams.Methods:Through a comprehensive case analysis, integrating the practical experiences from clinical trials conducted in the research ward of a Class-A tertiary hospital in Beijing, along with an extensive review of relevant literature and policy studies, this paper examined the current state of domestic clinical research implementation teams. Subsequently, a series of strategies were devised to build and foster professional clinical research teams and to explore corrective measures for cultivating a dynamic professional clinical research talent ecosystem.Results:The development of full-time clinical research teams in China was rather slow, and there was a lack of mature clinical trial teams training blueprints. Drawing on the practical experience accumulated during the establishment of a professional clinical research team in a leading hospital in Beijing, it was crucial to attach utmost importance to the optimal allocation of human and material resources. This required the systematic training of principal investigators, coordinating researchers, and research assistants, as well as the setting up of a comprehensive support system, an advanced scientific research team, and a quality control unit. Moreover, the standardization of operational models of both domestic and foreign research institutions, along with the implementation of corresponding support and incentive mechanisms, and the strengthening of training and continuing education frameworks were equally significant.Conclusions:During the process of assembling a full-time clinical research team, it is of utmost significance to cultivate professional principal investigators, coordinating researchers, and research assistants. Complemented by the establishment of a comprehensive support team, a scientific research team, and a quality control team, along with corresponding support and incentive mechanisms, this is crucial for constructing a professional clinical research execution team and a sustainable talent ecosystem in the research ward. Eventually, this will drive the efficient and high-quality progress of China's pharmaceutical industry.