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.

Objective:To investigate the value of a computed tomography(CT)radiomics-based model for predicting the efficacy of neoad-juvant immunotherapy combined with chemotherapy for locally advanced gastric cancer(LAGC).Methods:Data on 114 patients with LAGC who underwent radical surgery after neoadjuvant immunotherapy combined with chemotherapy at The Second Affiliated Hospital of Xingtai Medical College between June 2019 and June 2021 were retrospectively collected.These patients'data were divided into a training set(n=67)and a validation set(n=47)based on the time of admission.High-throughput features were extracted from baseline portal phase CT images of all patients,and the selected features were used to construct the radiomics prediction model.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)and calibration curves.The prognostic ability of the model was assessed using Kaplan-Meier curves.Results:Based on the maximum relevancy min-redundancy(mRMR)algorithm and least absolute shrinkage and selection operator(LASSO)regression model,5 out of 584 assessed features were incorporated into the radiomics(Rad)score.The respect-ive areas under the curve for predicting pathological complete response(pCR)in the training and validation sets were 0.865 and 0.830,re-spectively,and good fits were obtained(Hosmer-Lemeshow test:P>0.05).The optimal cut-off value for the Rad score was determined based on the Youden index.Patients with high Rad scores had significantly higher 3-year recurrence-free survival rates(82.7%vs.60.4%in the training set and 78.9%vs.53.8%in the validation set)and 3-year overall survival rates(78.9%vs.60.2%in the training set and 79.3%vs.50.0%in the validation set)than those with low Rad scores(P<0.05).Conclusions:The CT radiomics prediction model effectively predicted the pathological response and prognosis of patients with LAGC after neoadjuvant immunotherapy combined with chemotherapy and is ex-pected to serve as a practical clinical tool.

Objective:To evaluate the application value of interactive learning in enhancing the diagnosis of breast cancer by residents in the department of radiology through training based on the interpretation of breast magnetic resonance imaging (MRI) features by the breast imaging reporting and data system (BI-RADS).Methods:A total of 23 trainees completed BI-RADS standardized reports of 250 cases. These cases were divided into a pre-training group (Group 1) and post-training groups (initial training, Groups 2-4; advanced training, Groups 5-6), forming a total of six groups. The efficacy of interactive learning through course lectures and case-based practice in enhancing their ability in breast cancer diagnosis was analyzed. All trainees generated reports based on the BI-RADS scoring criteria. Interpretation agreement rates, evaluation time, and confidence levels were recorded. SPSS 25.0 was used for independent samples t test, chi-square test, and rank-sum test. Results:During the initial stage of training, the agreement rate of 150 cases reached 80.00%, which was recommended as the endpoint for completion of the initial learning phase. A significant difference existed between Group 4 and Group 1 ( P=0.012) in agreement rate. Statistically significant differences were noted in evaluation time for Groups 5 and 6 before and after advanced training ( P=0.001 and 0.007, respectively). A significant difference in confidence level was observed for Group 5 ( P=0.005). Conclusions:Interactive training based on BI-RADS standardized reporting can improve the diagnosis of breast diseases by residents in the department of radiology, particularly for enhancing the quality of reports for mass-like enhancement breast diseases.

Objective:To explore effects and mechanism of Hydroxylsafflower Yellow A(HSYA)on expression of NLRP3 in glial cells after cerebral ischemic injury.Methods:A middle cerebral artery occlusion/reperfusion(MCAO/R)model was established in male SD rats.After successfully modeling for 24 h,Longa scoring and corner test were used to evaluate degree of neurological dys-function.Western blot and immunofluorescence were used to detect expressions of JAK2/STAT3 molecules and NLRP3,ELISA was used to measure IL-1β,IL-6 and TNF-α levels.A glucose-oxygen deprivation/reperfusion(OGD/R)model was established in microg-lia,and JAK2 and STAT3 inhibitor AG490 was used to further verify action of HSYA on NLRP3.Results:Compared with sham group,neurological dysfunction aggravated in MCAO/R group(P<0.01),HSYA treatment improved neurological function(P<0.01).Expres-sions of p-JAK2,p-STAT3 and NLRP3 in MCAO/R group were higher than those in the sham group(P<0.01);and HSYA treatment reduced expressions of p-JAK2,p-STAT3 and NLRP3(P<0.01).Levels of inflammatory factors IL-1β,IL-6 and TNF-α were higher in MCAO/R group than sham group(P<0.01),and HSYA inhibited expressions of IL-1β,IL-6 and TNF-α(P<0.01 or P<0.05).In vi-tro experiments showed expressions of p-JAK2,p-STAT3 and NLRP3 in OGD/R group were significantly higher than normal control group(P<0.01),after adding AG490,phosphorylation of JAK2 and STAT3 decreased,NLRP3 expression was inhibited(P<0.01).Inflammatory cytokines IL-1β,IL-6 and TNF-α levels were higher in OGD/R group than normal control group(P<0.01),and HSYA inhibited expressions of IL-1β,IL-6 and TNF-α(P<0.01 or P<0.05).Conclusion:HSYA alleviates brain damage,probably by regu-lating JAK2/STAT3 signaling pathway and inhibiting NLRP3 expression in microglia after cerebral ischemia and hypoxia.

Pulpitis is a prevalent inflammatory disease in dentistry, and root canal therapy remains the primary clinical treatment for it. However, pulp removal leads to reduced tooth fracture resistance and complications such as secondary infection and tooth fracture. As a potential alternative, vital pulp therapy (VPT) relies on precise assessment of pulp status; yet current clinical diagnostic methods lack specificity. The establishment of appropriate animal models for pulpitis is crucial for investigating its pathogenesis, developing specific diagnostic biomarkers, and optimizing VPT strategies. This review systematically summarizes experimental animals selection based on anatomical compatibility and pathological similarity, as well as model construction methods and multimodal evaluation systems for pulpitis animal models, aiming to provide insights for related researches.

Maternal obesity has been shown to exert adverse transgenerational effects on offspring ovarian function,characterized by reduced ovarian follicle reserve,impaired granulosa cell function,and disrupted reproductive cycles.The underlying mechanisms involve cellular stress-induced damage characterized by mitochondrial dysfunction,oxidative stress,and apoptosis,as well as dysregulation in key regulatory pathways such as ovarian hormone secretion,gene expression,and epigenetic modifications.This review synthesizes existing evidence on how maternal obesity-induced acute stress and chronic genetic/epigenetic alterations jointly contribute to offspring ovarian impairment.The findings elu-cidate the complex relationship between maternal metabolic status and offspring reproductive health,providing a robust theoretical foundation for refining prenatal management and developing targeted intervention strategies.