ObjectiveTo explore the effect of the medical-community linkage model on activities of daily living, psychological status and motor function of stroke patients in the community. MethodsA total of 60 stroke patients admitted to two community health service centers and their affiliated stations in Fengtai District, Beijing, from January, 2024 to August, 2025 were enrolled and randomly divided into control group (n = 30) and intervention group (n = 30). The control group received routine medicine, dietary care and rehabilitation management, while the intervention group underwent rehabilitation with the medical-community linkage model, for twelve weeks. They were assessed with modified Barthel Index (MBI), Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD) and Fugl-Meyer Assessment (FMA) before and after intervention. ResultsAfter intervention, the MBI, HAMA, HAMD and FMA scores of patients improved in both groups (|t| > 5.599, P < 0.001), and improved more in the intervention group than in the control group (P < 0.05), except MBI. The HAMA and HAMD scores of family members decreased in both groups (|t| > 10.333, P < 0.001), and decreased more in the intervention group than in the control group (t > 5.681, P < 0.001). ConclusionThe medical-community linkage model can further improve the motor function of stroke patients in community, as well as the psychological status of both patients and their family members.

Objective To compare the effect of sodium hualuronate(SH)and platelet rich plasma(PRP)injections in the treatment of glenohumeral joint osteoarthritis(GJO).Methods Sixty-three patients with GJO were randomly assigned to receive either PRP(PRP group,n=29)or SH(SH group,n=34)injec-tions.The injections were administered into the glenohumeral joint under ultrasound guidance.The patients were assessed by the Visual Analogue Scale(VAS),American Shoulder and Elbow Surgeons(ASES)score and modified University of California(UCLA)shoulder joint score before injection and at 1,6,12 months of injection.Results There were no statistically significant differences in the general data between the two groups(P>0.05).Compared with before injection,the VAS scores at 1,6,and 12 months after injection in the two groups were significantly decreased(P<0.05).The VAS score at 12 months after injection in the SH group was significantly increased(P<0.05).The VAS score at 12 months after injection in the PRP group was lower than that in the SH group(P<0.05).The ASES scores showed a significant increase at 1 month after injection compared to before treatment(P<0.05),moreover the ASES scores at 6 months after injection in the PRP group were higher than those in the SH group(P<0.05).Compared with before injection,the modified UCLA shoulder joint scores at 1,6 months after injection in the two groups were significantly in-creased(P<0.05),moreover the scores of the modified UCLA shouder joint scores at 6 months after injec-tion in the PRP group were higher than those in the SH group(P<0.05).Conclusion Pain relief in intraar-ticular injection of PRP in GJO patients is more significant than intraarticular injection of SH,moreover PRP is significantly superior to SH in improving the shoulder joint function of the patients.

Hereditary breast cancer(HBC)is one of the important subtypes of breast cancer(BC),primarily characterized by mutations in the BRCA1/2 genes.Accurate identification of BRCA1/2 mutation carriers remains a significant clinical challenge.Traditional genetic testing methods for BRCA1/2 mutations are often expensive and complex.In recent years,advancements in radiomics and artificial intelligence(AI)have opened new avenues for non-invasive prediction of BRCA1/2 mutations.This review summarized the current research progresses in utilizing radiomics and AI for screening and predicting of BRCA1/2-related HBC.

Hereditary breast cancer(HBC)is one of the important subtypes of breast cancer(BC),primarily characterized by mutations in the BRCA1/2 genes.Accurate identification of BRCA1/2 mutation carriers remains a significant clinical challenge.Traditional genetic testing methods for BRCA1/2 mutations are often expensive and complex.In recent years,advancements in radiomics and artificial intelligence(AI)have opened new avenues for non-invasive prediction of BRCA1/2 mutations.This review summarized the current research progresses in utilizing radiomics and AI for screening and predicting of BRCA1/2-related HBC.

Objective To investigate the function of burdock leaf extract NBY-4 in protecting vascular endothelial cells from oxidative damage.Methods The oxidative damage model of vascular endothelial cells was established with hydrogen peroxide(H2O2).ROS,LDH,SOD,apoptosis rate and the expression of apoptosis were measured;Further test the nuclear transcription factor-κB(NF-κB).Results In the model group,H2O2 increased the apoptosis rate of endothelial cells,increased the ratio of Bax/Bcl-2 and the expression of Caspase-3,promoted the production of ROS and LDH in endothelial cells,and inhibited the level of SOD,resulting in oxidative damage to endothelial cells(P<0.05).NBY-4 could slow down the process of these effects;At the same time,NBY-4 can reduce NF-κB in endothelial cells.Conclusion NBY-4 can inhibit endothelial cell apoptosis and antioxidant damage by NF-κB signaling pathway.

Objective: This study aimed to evaluate the consistency or stability of mental disorders diagnosed in the psychiatry ward setting, investigate factors associated with consistency, and observe the disease distribution over the decade. Methods: A total of 20,359 psychiatric inpatients were included in this retrospective study from June 2011 to December 2020. Diagnoses from the first admission to discharge were evaluated to determine the diagnostic consistency during hospitalization. Readmissions were selected as the subgroup, whose first and last discharge diagnoses were compared to analyze the relatively long-term diagnostic stability. Demographic and clinical characteristics were collected to identify predictors of diagnostic discrepancy. Results: From 2011–2020, the hospitalization rate decreased from 42.7% to 20.7% for schizophrenia and grew from 13.3% to 23.8% for depression. Diagnoses were retained by 92.6% of patients at their first discharge diagnosis, ranging from 100% for disorders of psychological development to 16.3% for unspecified mental disorders. About 33.9% of diagnostic conversions were to bipolar disorder in patients having inconsistent diagnoses. However, among rehospitalizations, the diagnostic stability notably dropped to 71.3%. For rehospitalizations, mood disorders and schizophrenia spectrum disorders were relatively stable diagnoses categories, with 72.6% to 76.7% of patients receiving the same diagnosis, although results of specified diagnoses within these categories ranged from 5.9% to 91.0%. Except for mood disorders and schizophrenia spectrum disorders, the diagnoses of all other categories were below 70%. Long lengths of hospitalization and old age were associated with short-term diagnosis alterations. Conclusion Longitudinal follow-up and integration of multiple aspects of information are essential for accurate diagnosis.