ObjectiveTo construct an actor-network for integrating physical activity into rehabilitation services based on the World Health Organization Rehabilitation in Health Service System framework and actor-network theory (ANT). MethodsContent analysis was employed using the six building blocks of health service systems as the theoretical framework. Actors related to rehabilitation services were extracted and categorized into a rehabilitation actor pool, while a physical activity actor pool was formed based on four major physical activity scenarios. Actors from both pools were integrated, deduplicated and classified to form a final list of integrated actors. Using ANT, the construction process of the actor network integrating physical activity into rehabilitation was analyzed through the four stages of translation: problematization, interessment, enrollment and mobilization. ResultsA dynamic integration network was constructed, comprising human actors (patients, rehabilitation professionals, researchers, sports coaches, government departments, medical institutions, community organizations and industry media, etc.) and non-human actors (assistive devices, sports infrastructure, smart equipment, information systems, online exercise guidance systems, laws and regulations, strategic documents, and exercise prescriptions, etc.). The study identified maximizing rehabilitation outcomes as the mandatory passage point and elaborated on the critical role of government departments as focal actors in coordinating various stakeholders. ConclusionThe integration of physical activity into rehabilitation services is a dynamic network constructed by diverse actors through a process of translation. ANT provides an operational theoretical framework for cross-departmental governance of rehabilitation policies in China, promotes the spatial expansion of the rehabilitation field, and drives its transformation toward a networked and ecological system. The government needs to play a leading role in facilitating role reconstruction and synergy among heterogeneous actors in both the sports and rehabilitation sectors through mechanism design, to create a bidirectional empowerment mechanism that fosters mutual progress and ensures the sustainable development of integrated services.

Abstract To improve adolescent health behavior, the study summarizes and analyzes the performance, pathways of transmission, and influencing factors of the intergenerational transmission of adolescent health behaviors from the perspective of intergenerational transmission. The study emphasizes the need to deepen research on the intergenerational transmission of adolescent health behaviors, promote multidisciplinary and cross team collaboration, and shift adolescent health care from individual focused care to a holistic approach that prioritizes family and community culture. Simultaneously, an action framework should be established to block the intergenerational transmission of health risk behaviors, with a focus on childhood and adolescence. Additionally, parent-child participatory health education and health promotion activities should be carried out under a tripartite coordinated intervention model involving the community, school, and family, collectively fostering the development of healthy behaviors among adolescents.

Lung transplantation is a definitive treatment for end-stage lung disease and can significantly improve patient prognosis. However, postoperative complications such as infection, rejection, ischemia-reperfusion injury and chronic lung allograft dysfunction intertwine to form a complex pathological network, posing persistent challenges to long-term patient survival. In 2025, research teams worldwide have made systematic progress in the field of basic lung transplantation research. By integrating cutting-edge technologies including single-cell multi-omics, spatial transcriptomics and novel animal models, significant breakthroughs have been achieved in the evolutionary dynamics of drug-resistant infections, molecular mechanisms of immune regulation, programmed cell death, optimization of donor lung protection strategies and early warning of chronic lung allograft dysfunction. This article systematically reviews the representative advances in basic lung transplantation research worldwide in 2025, and deeply analyzes the implications of mechanistic breakthroughs for optimizing diagnosis and treatment strategies, aiming to anchor the direction for innovative breakthroughs and clinical translation in basic lung transplantation research.

Objective To observe hierarchical differences in brain functional networks in unilateral mesial temporal lobe epilepsy(mTLE)patients with different outcomes after surgery.Methods A total of 69 unilateral mTLE patients who underwent resection of epileptogenic lesion on the affected side were retrospectively enrolled.Based on Engel classification 1 year after surgery,the patients were divided into seizure free(SF)group and non-seizure free(NSF)group.Functional connectivity gradient analysis was employed to extract principal gradient explaining the highest variance on preoperative resting-state functional MRI(rs-fMRI),then the whole-brain gradient characteristics and principal gradient values within specific functional networks were compared between groups.Results Principal gradient connected default mode network(DMN)with sensorimotor network(SMN)along a continuous axis.Compared to SF group,NSF group showed a contracted gradient range at both ends(DMN and SMN)of the functional network and weakened hierarchical differentiation,and principal gradient value of DMN was higher,while that of SMN was lower than those in SF group(both P＜0.05).Conclusion Hierarchical differences in brain functional networks in unilateral mTLE patients with different outcomes after surgery mainly present as enhanced DMN and weakened SMN in NSF ones,and the latter two might serve as important neuroimaging markers for evaluating postoperative seizure recurrence.

Objective To observe the value of machine learning(ML)models based on brain functional network features combining clinical indicators for predicting postoperative outcomes of patients with drug-resistant mesial temporal lobe epilepsy(DR-mTLE).Methods Totally 84 patients with unilateral DR-mTLE who underwent surgery were retrospectively enrolled and classified into seizure free(SF)group(n=55)and non-seizure free(NSF)group(n=29)according to one-year postoperative follow-up.Clinical data were analyzed to screen independent predictors of postoperative outcomes.Based on brain preoperative resting-state functional MRI,brain functional networks were constructed using graph theory analysis,and 587 features were extracted.Five-fold cross validation was used to divide the data into training set and test set,then the optimal brain functional network features related to postoperative outcomes of DR-mTLE patients were selected.Combining with clinically relevant independent predictors,ML models were constructed using classifiers including Gaussian process(GP),logistic regression(LR),support vector machine(SVM)and quadratic discriminant analysis(QDA),respectively,and the prediction efficacy,calibration and clinical value of each ML model were evaluated.Results Both course of disease and lesion location were clinically relevant independent predictors of postoperative outcome of DR-mTLE patients(OR=0.928,5.710,P=0.010,0.016).Four optimal brain function network features were selected,including betweenness centrality of the third zone of cerebellar vermis,degree centrality of right globus pallidus,nodal efficiency of temporal left inferior temporal gyrus and nodal clustering coefficient of left inferior parietal lobule.The average area under the curve(AUC)of GP,LR,SVM and QDA models in test set was 0.868,0.864,0.875 and 0.870,respectively.Calibration curves and decision curve analysis indicated that each ML model had good calibration and high clinical net benefit.Conclusion ML models based on brain functional network features combining with clinical indicators could be used to effectively predict postoperative outcomes in DR-mTLE patients.

Objective::This study aimed to investigate the feasibility, efficacy, and safety of using a miniature mobile integrated cabin-theatre equipped with angiography and surgical operating room capabilities, and to explore its therapeutic scope, effectiveness, and operational mode.Methods::A miniature mobile integrated operating cabin-theatre was deployed across 15 hospitals in 15 cities or counties in China from April 2012 to November 2024. The interventions and outcomes of interventional and minimally invasive surgical procedures were prospectively observed and evaluated; perioperative complications were documented, and the stability, adaptability, and mobility of the integrated system were assessed.Results::A total of 133 procedures were successfully performed, 130 of which were interventional and 3 minimally invasive. The angiography machine showed good imaging performance without any equipment failures, loosening, or damage, with normal chamber unfolding. One patient experienced a fever the day after laparoscopy, while none of the other patients exhibited perioperative complications such as infection, surgical site bleeding/hematoma, or reperfusion arrhythmia. The instrument was easily manipulated, aligning with the needs of clinical intervention and surgery, and was perceived by patients as being a comfortable environment, with no psychological or other obvious discomfort.Conclusions::The miniature mobile integrated cabin-theatre, comprising an angiography machine and an operating room, allows interventional or minimally invasive surgical procedures to be performed smoothly and safely. It can also provide rapid and efficient on-site treatment of acute and critical illnesses across multiple body systems, including the cardiovascular, cerebrovascular, and gastrointestinal systems.

Objective To observe hierarchical differences in brain functional networks in unilateral mesial temporal lobe epilepsy(mTLE)patients with different outcomes after surgery.Methods A total of 69 unilateral mTLE patients who underwent resection of epileptogenic lesion on the affected side were retrospectively enrolled.Based on Engel classification 1 year after surgery,the patients were divided into seizure free(SF)group and non-seizure free(NSF)group.Functional connectivity gradient analysis was employed to extract principal gradient explaining the highest variance on preoperative resting-state functional MRI(rs-fMRI),then the whole-brain gradient characteristics and principal gradient values within specific functional networks were compared between groups.Results Principal gradient connected default mode network(DMN)with sensorimotor network(SMN)along a continuous axis.Compared to SF group,NSF group showed a contracted gradient range at both ends(DMN and SMN)of the functional network and weakened hierarchical differentiation,and principal gradient value of DMN was higher,while that of SMN was lower than those in SF group(both P＜0.05).Conclusion Hierarchical differences in brain functional networks in unilateral mTLE patients with different outcomes after surgery mainly present as enhanced DMN and weakened SMN in NSF ones,and the latter two might serve as important neuroimaging markers for evaluating postoperative seizure recurrence.

Objective To observe the value of machine learning(ML)models based on brain functional network features combining clinical indicators for predicting postoperative outcomes of patients with drug-resistant mesial temporal lobe epilepsy(DR-mTLE).Methods Totally 84 patients with unilateral DR-mTLE who underwent surgery were retrospectively enrolled and classified into seizure free(SF)group(n=55)and non-seizure free(NSF)group(n=29)according to one-year postoperative follow-up.Clinical data were analyzed to screen independent predictors of postoperative outcomes.Based on brain preoperative resting-state functional MRI,brain functional networks were constructed using graph theory analysis,and 587 features were extracted.Five-fold cross validation was used to divide the data into training set and test set,then the optimal brain functional network features related to postoperative outcomes of DR-mTLE patients were selected.Combining with clinically relevant independent predictors,ML models were constructed using classifiers including Gaussian process(GP),logistic regression(LR),support vector machine(SVM)and quadratic discriminant analysis(QDA),respectively,and the prediction efficacy,calibration and clinical value of each ML model were evaluated.Results Both course of disease and lesion location were clinically relevant independent predictors of postoperative outcome of DR-mTLE patients(OR=0.928,5.710,P=0.010,0.016).Four optimal brain function network features were selected,including betweenness centrality of the third zone of cerebellar vermis,degree centrality of right globus pallidus,nodal efficiency of temporal left inferior temporal gyrus and nodal clustering coefficient of left inferior parietal lobule.The average area under the curve(AUC)of GP,LR,SVM and QDA models in test set was 0.868,0.864,0.875 and 0.870,respectively.Calibration curves and decision curve analysis indicated that each ML model had good calibration and high clinical net benefit.Conclusion ML models based on brain functional network features combining with clinical indicators could be used to effectively predict postoperative outcomes in DR-mTLE patients.

Objective:To assess the efficacy and safety of “one-stop” procedures combining radiofrequency catheter ablation and left atrial appendage closure by guidance of intracardiac echocardiography(ICE) in elderly patients with atrial fibrillation.Methods:A retrospective cohort study was conducted on patients who underwent ICE-guided “one-stop” procedures at the Department of Cardiology, General Hospital of Northern Theater Command between December 2020 and January 2023. Patients were divided into elderly group (age≥60 years old) and non-elderly group (age 18-59 years old). The clinical characteristics, acute success rate, peri-operative complications and follow-up data between two groups were compared. Multivariate logistic regression analysis was used to analyze whether age was the influencing factor for perioperative complications and atrial fibrillation recurrence.Results:A total of 213 atrial fibrillation patients were enrolled, including 158 (74.18%) in the elderly group (age: (68.3±5.0) years; 56.96% male) and 55 (25.82%) in the non-elderly group (age: (53.7±5.2) years; 81.82% male). The elderly group had lower proportions of males, persistent atrial fibrillation, and left atrial spontaneous echocardiographic contrast compared to the non-elderly group ( P<0.05). CHA 2DS 2-VASc and HAS-BLED scores were higher in elderly group ( P<0.05). The acute success rate,“one-stop” procedure time, fluoroscopy time and the rate of peri-operative complications (6 (3.80%) in elderly group vs. 2 (3.64%) in non-elderly group) were similar between two groups (all P>0.05). The average time of clinical and telephone interviews in elderly group and non-elderly group was (16.9±6.1) months and (17.9±5.9) months, respectively. There was no significant difference in the rate of atrial fibrillation recurrence or clinical events between two groups (47 (30.72%) vs. 14 (26.42%), P=0.554; 10 (6.54%) vs. 2(3.77%), P=0.689, respectively). Iatrogenic atrial septal defects in 3-month transesophageal echocardiography follow up were detected in 44 patients (36.97%) in elderly group and 9 patients (19.57%) in non-elderly group ( P=0.032). Multivariate logistic regression analysis results showed that age was not the influencing factor for peri-operative complications and atrial fibrillation recurrence ( P=0.905 and P=0.676, respectively). Conclusion:Intracardiac echocardiography-guided “one-stop” procedures in the treatment of atrial fibrillation in elderly patients are safe and effective.

Objective:To investigate the efficacy and safety of ablation index-guided radiofrequency catheter ablation (RFCA) and second-generation cryoballoon ablation (CBA) in elderly patients with atrial fibrillation (AF).Methods:This retrospective cohort study included 1 986 patients undergoing pulmonary vein isolation for AF at General Hospital of Northern Theater Command from August 2016 to May 2020, comprising 760 RFCA cases and 1 226 CBA cases. Elderly patients were defined as those aged 60 years or older, while non-elderly patients were those under 60 years of age. All patients were followed up for 3 years after the procedure to assess AF recurrence rates. Kaplan-Meier survival curves were plotted and compared by log-rank test. Multivariate logistic regression was used to analyze the influencing factors of AF recurrence.Results:Among 1 986 AF patients (aged (58.7±10.2) years; 1 307 males, 65.81%; 987 elderly patients, 49.70%), the overall AF recurrence rate was 24.37% (484/1 986). Kaplan-Meier analysis demonstrated a higher AF recurrence rate in the elderly group compared to the non-elderly group (log-rank P=0.007). In the RFCA group, AF recurrence rate was 22.50% (171/760), with no significant difference between the elderly (24.44%, 88/360) and non-elderly (20.75%, 83/400) subgroups ( P=0.223). In the CBA group, recurrence rates were 25.53% (313/1 226), with significantly higher recurrence in elderly patients (28.55%, 179/627) than non-elderly (22.37%, 134/599) ( P=0.013). Multivariate logistic regression analysis revealed that advanced age was not an independent predictor of AF recurrence ( P=0.447). Longer AF duration and larger left atrial diameter were independent risk factors for recurrence, while male sex was a protective factor (all P<0.05). Conclusion:Pulmonary vein isolation with second-generation CBA and RFCA guided by ablation index are safe and effective in the treatment of AF in elderly patients.