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 construct a dynamic prediction model for JC polyomavirus (JCV) reactivation after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 128 recipients who met the inclusion criteria and received kidney transplantation in Nanfang Hospital, Southern Medical University, from June 2021 to December 2024. Dynamic Cox regression and dynamic restricted mean survival time (RMST) regression based on the landmark method were adopted to establish the dynamic prediction models, and Monte Carlo cross-validation was used to evaluate model performance. Results The dynamic models could predict the incidence and onset time of JCV reactivation within the subsequent 3 months according to covariates at each landmark time point from the 1st to the 6th month after transplantation. Remuzzi score, body mass index and warm ischemia time were independent risk factors for JCV reactivation, while a history of urinary BK polyomavirus reactivation served as a protective factor. The median values of the area under the curve, C-index and Brier score of the dynamic Cox model were 0.873, 0.851 and 0.065 respectively, and the C-index of the dynamic RMST model was 0.829, all of which were superior to those of the static model. Conclusions The landmark-based dynamic models exhibit excellent predictive performance, which may integrate baseline data and post-transplant follow-up information to realize dynamic assessment of the risk and time window of JCV reactivation, thereby providing evidence for optimizing post-operative monitoring and individualized intervention strategies.

Objective: To analyze the demographic evolution of China over the forthcoming decade (2026-2035) and to systematically evaluate its potential implications for voluntary blood donation practices and the equilibrium of clinical blood supply and demand. Methods: Leveraging comprehensive blood collection and utilization data from 2021 to 2025 at the national, provincial (Shandong), and municipal (Zibo) levels, we identified and examined critical determinants influencing blood management systems. The DeepSeek-V3.2 large language model was deployed to project future population age structures, and to generate quantitative estimates for hospitalization volumes, clinical blood requirements, available blood supply, and donation frequencies for the target years 2030 and 2035, thereby furnishing an evidence base for strategic planning and priority-setting. Results: DeepSeek-derived projections indicate that the proportion of China's population aged 60 years and above will surpass 27% (370 million/1 380 million) by 2030 and exceed 30% (400 million/1 350 million) by 2035, signaling a marked acceleration in population aging. This demographic shift is projected to reduce the proportion of the national population eligible to donate blood from 59.2% (835 million out of 1.41 billion) to 52% (710 million out of 1.36 billion), while the demand for blood is expected to increase by 87.8% relative to 2024, rising from 26.927 million units to 50.56 million units. Sustaining blood supply-demand balance will necessitate progressive annual increases in donation rates. Under prevailing policy frameworks, the required blood donation rate among the eligible population in Shandong Province would need to rise by 122.57% by 2035 [from 20.07‰ (1.1641 million person-times/58 million people) to 44.67‰ (2.189 million person-times/49 million people)] to potentially satisfy projected clinical requirements. Conclusion: By integrating DeepSeek-V3.2, AI predictive models, and blood donation incentive measures, it is possible to monitor population demographics, forecast clinical blood demand, manage blood supplies, and ensure the long-term sustainability of clinical blood availability. It must be acknowledged, however, that the present analysis is constrained by a limited data foundation (comprising only five annual observation points); accordingly, the projections should be interpreted as directional trend indicators or methodological illustrations rather than definitive quantitative forecasts.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

Objective To investigate the drug resistance of Mycobacterium tuberculosis(MT)in Shaanxi Province in the past five years.Methods A total of 744 patients with culture-positive sputum specimens at the former Shaanxi Provincial Institute for Tuberculosis Control and Prevention from January 2019 to December 2023 were selected as the study subjects,and the results of their strain identification and drug susceptibility tests were collected to analyze the resistance to six antituberculosis drugs.Results The overall resistance rate of the MT complex of 726 strains was 33.33%(242/726).The rates of mono-resistance,multi-resistance,multi-drug resistance and extensive resistance were 12.95%(94/726),7.44%(54/726),12.95%(94/726)and 0.41%(3/726).The resistance rate was 31.73%(204/643)in primaries and 45.78%(38/83)in retreatment patients,and the difference between the resistance rates of primaries and retreatment patients was statistically significant(χ2=6.536,P=0.011).The resistance rates of the 6 antituberculosis drugs,in descending order,were as follows:streptomycin(SM)22.87%(166/726),isoniazid(INH)22.73%(165/726),rifampicin(RFP)15.15%(110/726),ofloxacin(OFX)9.09%(66/726),ethambutol(EMB)7.30%(53/726),kanamycin(KM)2.89%(21/726).The resistance rates for each year from 2019～2023 were 39.61%(61/154),33.33%(44/132),34.47%(81/235),24.54%(40/163)and 38.10%(16/42),respectively,and the difference in resistance rates between years was not statistically significant(χ2=8.967,P=0.062).Conclusion The burden of drug-resistant tuberculosis remains heavy in Shaanxi,and the situation of multidrug-resistant tuberculosis,in particular,is more serious,and control measures need to be strengthened and improved to reduce the incidence and spread of drug-resistant tuberculosis.

Objective:To study the relationship between microRNA (miRNA, miR)-675-3p, miR-675-5p, miR-29b-3p, miR-let-7b-3p and fluoride induced articular cartilage injury in rats.Methods:Using the factorial design, thirty 3-week-old specific pathogen free grade male Wistar rats (weighted 125 - 150 g) were selected and randomly divided into a control group, a 25 mg/L fluoride group, and a 50 mg/L fluoride group using a random number table method, with 10 rats in each group. The control group drank distilled water, while the fluoride exposure groups drank distilled water with fluoride ion concentrations of 25 and 50 mg/L, respectively. Five rats were euthanized in each group at 3 and 6 months of feeding, respectively. Visual observation was used to observe the occurrence of dental fluorosis in rats, and fluoride ion selective electrode method was used to detect the fluoride level in blood, urine, and cartilage. Hematoxylin-eosin staining and safranin O-fast green staining were used to observe the pathological changes of articular cartilage, and Mankin score was used to evaluate the grading of cartilage injury. Real-time fluorescence quantitative PCR was used to detect the expression levels of miR-675-3p, miR-675-5p, miR-29b-3p, and miR-let-7b-3p in cartilage.Results:After 3 and 6 months of fluoride exposure, no dental fluorosis was observed in the control group, while rats in the 25 and 50 mg/L fluoride groups showed varying degrees of dental fluorosis. There were statistically significant differences in the levels of blood fluoride (mg/L: 0.11 ± 0.04, 0.57 ± 0.32, 0.29 ± 0.06, 0.07 ± 0.01, 0.31 ± 0.05, 0.38 ± 0.06), urine fluoride (mg/L: 1.81 ± 0.58, 13.18 ± 2.29, 66.11 ± 20.74, 2.35 ± 1.08, 14.79 ± 3.87, 28.32 ± 4.79), and cartilage fluoride (mg/kg: 341.83 ± 44.07, 612.99 ± 174.72, 991.26 ± 227.32, 338.29 ± 72.53, 957.09 ± 195.86, 1 535.53 ± 89.01) among in rats the control group, 25 mg/L fluoride group, and 50 mg/L fluoride group ( F = 7.76, 42.78, 40.54, 23.10, 18.96, 80.81, P < 0.05). In the 50 mg/L fluoride group, there were statistically significant differences in the levels of urine fluoride and cartilage fluoride of rats exposed for different times ( t = 4.45, - 3.80, P < 0.05). The Mankin score grading for cartilage injury showed that at 3 months of fluoride exposure, there were 4, 0, and 0 rats with normal cartilage in the control group, 25 mg/L fluoride group, and 50 mg/L fluoride group, 1, 4, and 1 rats with mild injury, and 0, 1, and 4 rats with moderate injury, respectively. At 6 months of fluoride exposure, there were 4, 0, and 0 rats with normal cartilage in the control group, 25 mg/L fluoride group, and 50 mg/L fluoride group, 1, 3, and 0 rats with mild injury, 0, 1, and 3 rats with moderate injury, and 0, 1, and 2 rats with severe injury, respectively. Real-time fluorescence quantitative PCR results showed that fluoride exposure dose had individual effects on the expression of miR-675-3p, miR-675-5p, miR-29b-3p, and miR-let-7b-3p in cartilage ( F = 8.68, 7.97, 9.34, 10.14, P < 0.05). There was no individual effect of fluoride exposure time on the expression of miR-675-3p, miR-675-5p, miR-29b-3p, and miR-let-7b-3p in cartilage ( F = 0.00, 0.15, 0.63, 0.53, P > 0.05). However, there was no interaction effect between fluoride exposure time and dose on the above-mentioned miRNA ( F = 0.68, 0.05, 0.22, 0.24, P > 0.05). The correlation analysis results showed that miR-675-3p and miR-675-5p in cartilage were negatively correlated with blood fluoride, urine fluoride, and cartilage fluoride ( r = - 0.37, - 0.42, - 0.56, - 0.53, - 0.57, - 0.53, P < 0.05), while miR-29b-3p and miR-let-7b-3p were positively correlated with urine fluoride and cartilage fluoride ( r = 0.58, 0.40, 0.48, 0.47, P < 0.05). The results of ordered logistic regression analysis showed that miR-675-3p, miR-675-5p, miR-29b-3p, and miR-let-7b-3p were influencing factors of dental fluorosis grading ( OR = 0.13, 0.04, 1.55, 2.58, P < 0.05) and Mankin score grading ( OR = 0.04, 0.06, 1.41, 1.58, P < 0.05). Conclusion:MiR-675-3p, miR-675-5p, miR-29b-3p, and miR-let-7b-3p may be involved in the process of fluoride induced articular cartilage injury.

Aim To explore the mechanism of ligustil-ide(LIG)improving demyelination by inhibiting in-flammatory response in mice with distal middle cerebral artery occlusion(dMCAO)through AIM2/caspase-1 signal pathway.Methods Thirty C57BL/6N male mice were randomly divided into three groups:sham operation group(Sham group,n=10),model group(dMCAO group,n=10)and treatment group(LIG group,n=10).The dMCAO mouse model was estab-lished by electrocoagulation in dMCAO group and LIG group.The mice were scored by Longa after waking up,and the changes of cerebral blood flow were moni-tored by laser speckle blood flow imaging system after dMCAO.One hour after modeling,LIG(30 mg·kg-1·d-1)was injected intraperitoneally in LIG group,and the same amount of normal saline was injected in sham group and dMCAO group for one week until the end of the experiment.The mice in each group were stained with TTC,and the brain injury was observed pathologically.Fatigue turning bar test and open field test were used to evaluate the motor function and anxie-ty degree of mice,and then the brain tissues of mice were taken for black gold staining to compare the chan-ges of myelin sheath in each group.Immunofluores-cence staining was used to detect the average fluores-cence intensity of MBP,IBA1 and GFAP in CC,CPU and CX regions of mouse brains.ELISAwas used to de-tect the contents of TNF-α,IL-6,IL-1 β,IL-17A and BDNF in brain tissue proteins of mice.Western blot-ting was used to detect the protein expressions of AIM2,caspase-1 and ASC-in each group.Results Compared with the dMCAO group,the infarct area was reduced,the behavior was significantly improved and the demyelination was reduced in the LIG group.The expression of MBP protein in CC,CPU and CX regions increased(P＜0.05),the expression of IBA1 in CX decreased(P＜0.01),and the expression of GFAP in-creased in CC,CPU and CX regions(P＜0.01).The results of ELISA showed that the levels ofTNF-α(P＜0.01),IL-6(P＜0.01),IL-1β(P＜0.05)and IL-17A(P＜0.01)significantly decreased,while the ex-pression of BDNF increased(P＜0.05).The protein expression levels of AIM2,caspase-1 and ASC in mouse brain decreased after treatment(P＜0.01).Conclusion LIG has a protective effect on demyelina-tion in dMCAO mice,which may be related to the inhi-bition of AIM2/caspase-1 signaling pathway and in-flammation and to the promotion of BDNF secretion.

Objective To investigate the effects of Yishen Zhuyu Tongluo Decoction on chondrocyte pyroptosis and ferroptosis in rats with knee osteoarthritis(KOA).Methods Forty SD were divided randomly into a sham operation group(n=10)and a modeling group(n=30).A KOA model was established in the modeling group by anterior cruciate ligament transection of the right hind limb knee joint.The drawer test was used to confirm the successful establishment of the model.Post-surgery,the rats were subjected to 30 min of forced activity daily to induce KOA.Lameness and hopping movements were observed after 4 weeks,and hematoxylin and eosin staining confirmed cartilage surface damage,deformation,and inflammatory cell infiltration,indicating successful modeling.The model rats were then assigned randomly to a model group(n=8),celecoxib group(n=8),and Yishen Zhuyu Tongluo Decoction group(n=8).The sham operation and model groups received 10 mL/kg of saline by gavage,the celecoxib group received 12 mg/kg of celecoxib solution,and the Yishen Zhuyu Tongluo Decoction group received 5.4 g/kg of the herbal decoction,once daily for 8 weeks.After the interventions,the rats were anesthetized,blood was collected from the abdominal aorta and serum was separated,and the knee joints were isolated.Three samples were fixed in paraformaldehyde,while the remaining cartilage tissue was reserved.Pathological changes in joint cartilage were observed by hematoxylin and eosin and Safranin O-Fast Green staining.Bone microstructure was analyzed using micro-computed tomography.Serum interleukin(IL)-1β and IL-18 protein levels were detected by enzyme-linked immunosorbent assay.Relative mRNA expression levels of NLRP3,ASC,Caspase-1,GSDMD,IL-1β,IL-18,ACSL-4,FTH-1,GPX-4,and cyclooxygenase(COX)-2 were detected by reverse transcription quantitative real-time PCR,and protein expression of NLRP3,Caspase-1,and COX-2 were detected by immunohistochemistry.Results Compared with the sham operation group,model rats showed surface damage and deformation of cartilage tissue,disordered cell arrangement in all layers,significant loss of Safranin O-Fast Green staining,and sparse and irregular trabecular bone distribution.Serum levels of the inflammatory factors IL-1β and IL-18 were elevated(P＜0.01).mRNA expression levels of NLRP3,ASC,Caspase-1,GSDMD,IL-1β,IL-18,ACSL-4,and COX-2 were also significantly increased(all P＜0.01),while FTH-1 and GPX-4 mRNA expression levels were decreased(P＜0.01).Compared with the model group,rats in the celecoxib and Yishen Zhuyu Tongluo Decoction groups showed smoother and more intact cartilage surfaces,significantly increased cell counts,less loss of Safranin O-Fast Green staining,denser trabecular bone,and thicker cortical bone,with improved bone microstructure.Serum IL-1β and IL-18 levels were reduced(P＜0.01),NLRP3(P＜0.01,P＜0.05),ASC,Capase-1,GSDMD,IL-1β,IL-18,ACSL-4,and COX-2 mRNA levels were decreased(all P＜0.01),and relative expression levels of FTH-1 and GPX-4 mRNA were significantly increased(P＜0.01).Conclusions Yishen Zhuyu Tongluo Decoction can treat KOA by inhibiting chondroptosis and ferroptosis in chondrocytes,reducing serum IL-1β and IL-18 levels,and improving bone microstructure.