ObjectiveTo investigate the demand and the application outcomes of case-based learning (CBL) combined with teaching case library in continuing education courses for rehabilitation therapists. MethodsA convergent mixed-methods research design was adopted, involving 51 rehabilitation therapists and 31 instructors who participated in the advanced training program at the Department of Rehabilitation Medicine, Peking University Third Hospital between October, 2022 and October, 2024. Self-developed questionnaires were used to collect data on the perceived needs of teachers and students regarding CBL and teaching case library. Differences between CBL + teaching case library and traditional lecturing in student evaluations, classroom participation and interaction were compared using Student Evaluation of Teaching in Medical Lectures, Classroom Participation Scale and Flanders Interaction Analysis System. Semi-structured interviews were conducted to obtain evaluations and attitudes towards this method from both instructors and students' perspectives. ResultsThe survey showed that 91.4% of participating teachers and students supported the use of CBL in the courses, and 82.7% advocated that the teaching case library should include typical cases. Significant differences were observed in teaching preference between teachers and students (χ² = 17.597, P < 0.01). Application effects demonstrated that CBL+teaching library significantly outperformed traditional teaching methods in student previewing behaviors, classroom interaction and learning outcomes (|Z| ≥ 2.646, P < 0.01). Flanders Interaction Analysis indicated that CBL+teaching library was superior to traditional teaching in terms of students' motivation to speak and autonomous learning. Qualitative Research generated four positive themes including cultivating clinical reasoning, being close to clinical practice, deepening knowledge understanding and improving teaching quality; and three negative themes including increasing teaching burden, high software and hardware requirements and posing great challenges to students were generated. ConclusionCompared with traditional teaching methods, CBL combined with teaching case library is closely linked to clinical practice, facilitating students' clinical reasoning, enhancing teaching effectiveness and satisfaction, and therefore aligning with the goals and needs of continuing education for rehabilitation therapists, which is highly recognized by both instructors and students.

ObjectiveTo investigate the demand and the application outcomes of case-based learning (CBL) combined with teaching case library in continuing education courses for rehabilitation therapists. MethodsA convergent mixed-methods research design was adopted, involving 51 rehabilitation therapists and 31 instructors who participated in the advanced training program at the Department of Rehabilitation Medicine, Peking University Third Hospital between October, 2022 and October, 2024. Self-developed questionnaires were used to collect data on the perceived needs of teachers and students regarding CBL and teaching case library. Differences between CBL + teaching case library and traditional lecturing in student evaluations, classroom participation and interaction were compared using Student Evaluation of Teaching in Medical Lectures, Classroom Participation Scale and Flanders Interaction Analysis System. Semi-structured interviews were conducted to obtain evaluations and attitudes towards this method from both instructors and students' perspectives. ResultsThe survey showed that 91.4% of participating teachers and students supported the use of CBL in the courses, and 82.7% advocated that the teaching case library should include typical cases. Significant differences were observed in teaching preference between teachers and students (χ² = 17.597, P < 0.01). Application effects demonstrated that CBL+teaching library significantly outperformed traditional teaching methods in student previewing behaviors, classroom interaction and learning outcomes (|Z| ≥ 2.646, P < 0.01). Flanders Interaction Analysis indicated that CBL+teaching library was superior to traditional teaching in terms of students' motivation to speak and autonomous learning. Qualitative Research generated four positive themes including cultivating clinical reasoning, being close to clinical practice, deepening knowledge understanding and improving teaching quality; and three negative themes including increasing teaching burden, high software and hardware requirements and posing great challenges to students were generated. ConclusionCompared with traditional teaching methods, CBL combined with teaching case library is closely linked to clinical practice, facilitating students' clinical reasoning, enhancing teaching effectiveness and satisfaction, and therefore aligning with the goals and needs of continuing education for rehabilitation therapists, which is highly recognized by both instructors and students.

ObjectiveTo investigate the demand and the application outcomes of case-based learning (CBL) combined with teaching case library in continuing education courses for rehabilitation therapists. MethodsA convergent mixed-methods research design was adopted, involving 51 rehabilitation therapists and 31 instructors who participated in the advanced training program at the Department of Rehabilitation Medicine, Peking University Third Hospital between October, 2022 and October, 2024. Self-developed questionnaires were used to collect data on the perceived needs of teachers and students regarding CBL and teaching case library. Differences between CBL + teaching case library and traditional lecturing in student evaluations, classroom participation and interaction were compared using Student Evaluation of Teaching in Medical Lectures, Classroom Participation Scale and Flanders Interaction Analysis System. Semi-structured interviews were conducted to obtain evaluations and attitudes towards this method from both instructors and students' perspectives. ResultsThe survey showed that 91.4% of participating teachers and students supported the use of CBL in the courses, and 82.7% advocated that the teaching case library should include typical cases. Significant differences were observed in teaching preference between teachers and students (χ² = 17.597, P < 0.01). Application effects demonstrated that CBL+teaching library significantly outperformed traditional teaching methods in student previewing behaviors, classroom interaction and learning outcomes (|Z| ≥ 2.646, P < 0.01). Flanders Interaction Analysis indicated that CBL+teaching library was superior to traditional teaching in terms of students' motivation to speak and autonomous learning. Qualitative Research generated four positive themes including cultivating clinical reasoning, being close to clinical practice, deepening knowledge understanding and improving teaching quality; and three negative themes including increasing teaching burden, high software and hardware requirements and posing great challenges to students were generated. ConclusionCompared with traditional teaching methods, CBL combined with teaching case library is closely linked to clinical practice, facilitating students' clinical reasoning, enhancing teaching effectiveness and satisfaction, and therefore aligning with the goals and needs of continuing education for rehabilitation therapists, which is highly recognized by both instructors and students.

Objective To achieve non-invasive and precise prediction of mean arterial pressure(MAP)based on a fully convolutional neural network(FCNN).Methods A high-precision blood pressure data acquisition system compliant with international metrological standards was used in conjunction with the'gold standard'auscultation method to collect blood pressure and pulse waveform data from patients.True MAP values were derived via Gaussian fitting of pulse waveform data,constructing a traceable dataset.The FCNN was applied to this dataset to develop a novel MAP prediction method.Additionally,the predictive accuracy of the FCNN was compared with linear regression and conventional empirical formulas.Results The mean squared errors(MSE)for MAP prediction using the FCNN,linear regression,and empirical formulas were 19.76,21.40,and 30.97,respectively.The coefficients of determination(R2)were 0.90,0.89,and 0.84,and the prediction accuracies were 0.90,0.89,and 0.85,respectively.Conclusions By using systolic blood pressure,diastolic blood pressure,age,and arm circumference as input parameters,the FCNN-based MAP prediction method significantly reduces the bias of empirical formulas.This approach not only improves the accuracy of hemodynamic boundary condition acquisition but also contributes to refining the metrological traceability system of non-invasive blood pressure measurement.

Objective:To understand the current situation and influencing factors of functional constipation among elderly people in nursing homes, and construct a risk prediction model.Methods:Conveniently select 542 elderly people from 8 nursing homes in Tangshan urban area from July to November 2023 as the research subjects, use binary logistic regression analysis to construct a risk prediction model, and conduct internal validation of the model.Results:Among the 542 elderly people who were included in the study, there were 250 males and 292 females with an average age of 78.00 (70.00, 86.00) years. The incidence of functional constipation among elderly people in nursing homes was 54.06%(293/542). The predictive model includes six predictive factors: age, Barthel index, water intake, daily vegetable intake, insomnia, and perianal disease. The model AUC was 0.885 (95% CI 0.858-0.913), the Youden index was 0.628, the best critical value was 0.585, sensitivity was 0.819, specificity was 0.809. The Hosmer-Lemeshow test χ2=6.38, P=0.605. The internal validation results of the Bootstrap method showed that the AUC of the model was 0.876, the calibration curve was close to the standard line, and the Brier score was 0.135. The DCA results showed that the threshold was 0.1-0.9, and the model had good clinical net benefits. Conclusions:The incidence of functional constipation in elderly care institutions is relatively high. The functional constipation risk prediction model constructed in this study has good predictive efficacy and applicability, which can provide reference for nursing home staff.

Objective Using network pharmacology research methods and animal pharmacology experiments,explore the mechanism of antidepressant effects of traditional Chinese medicine Citron and Bergamot.Methods Using the Traditional Chinese Medicine System Pharmacology Database and Analysis Platform(TCMSP),ETCM,Symmap,Swiss Target Prediction,and Uniprot data platforms,screen the active ingredients and corresponding gene targets of Citron and Bergamot.Obtain depression gene targets using OMIM,TTD,and Cenecards data platforms.Using Venny 2.1 online software,draw Venn diagrams of the intersection of active ingredients and gene targets.Draw network diagrams between drugs,active ingredients,targets,and diseases using Cytoscape 3.7.2 software.Construct a protein-protein interaction(PPI)network diagram using the STRING data platform for intersecting genes.Using the Metascape data platform,perform gene ontology(GO)function and Kyoto Encyclopedia of Genesand and Genomes(KEGG)pathway enrichment analysis.A rat depression model was established using chronic unpredictable mild stress(CUMS)combined with solitary care,and animal experiments were conducted to verify the BDNF/TrkB/CREB signaling pathway obtained from network pharmacology research.Results The research results of network pharmacology methods show that there are 57 antidepressant active ingredients in Citron,65 antidepressant active ingredients in Bergamot,and important active ingredients include Acetic acid,3,4,7-trimethoxycoumarin and Citric acid,etc.Through the data platform,2717 depression targets and 430 intersection targets were identified.Through PPI network analysis,key gene targets for antidepressant effects in Citron and Bergamot were identified,including TP53,Protein kinase B1,CREB-binding protein,Brain derived neurotrophic factor,etc.Through KEGG analysis,it was found that important signaling pathways include pathways in cancer,PI3K-Akt signaling pathway,Neurotrophin signaling pathway,etc.By observing the neurotrophic factor BDNF/TrkB/CREB signaling pathway in depressed rats,the results showed that the medium dose groups of Citron and Bergamot could significantly increase serum BDNF content(P<0.05),and each treatment group could improve the damage of hippocampal neurons in rats.The high and medium dose groups of Citron and Bergamot significantly increased the expression of BDNF protein in the hippocampal CA1 region(P<0.05,P<0.01).Except for the low-dose group,which showed no difference in TrkB mRNA gene expression,all other treatment groups significantly increased the mRNA gene expression levels of hippocampal BDNF,TrkB and CREB(P<0.01).The medium dose group of Citron and Bergamot increased the expression of BDNF protein in the hippocampus(P<0.01),while the medium and low dose groups significantly increased the relative expression of TrkB protein in the hippocampus(P<0.05).The medium dose group showed an increasing trend in the relative expression of CREB protein.Conclusion Traditional Chinese medicine Citron and Bergamot have therapeutic effects on depression models in rats,and the mechanism of action may be related to the BDNF/TrkB/CREB signaling pathway.

Objective To achieve non-invasive and precise prediction of mean arterial pressure(MAP)based on a fully convolutional neural network(FCNN).Methods A high-precision blood pressure data acquisition system compliant with international metrological standards was used in conjunction with the'gold standard'auscultation method to collect blood pressure and pulse waveform data from patients.True MAP values were derived via Gaussian fitting of pulse waveform data,constructing a traceable dataset.The FCNN was applied to this dataset to develop a novel MAP prediction method.Additionally,the predictive accuracy of the FCNN was compared with linear regression and conventional empirical formulas.Results The mean squared errors(MSE)for MAP prediction using the FCNN,linear regression,and empirical formulas were 19.76,21.40,and 30.97,respectively.The coefficients of determination(R2)were 0.90,0.89,and 0.84,and the prediction accuracies were 0.90,0.89,and 0.85,respectively.Conclusions By using systolic blood pressure,diastolic blood pressure,age,and arm circumference as input parameters,the FCNN-based MAP prediction method significantly reduces the bias of empirical formulas.This approach not only improves the accuracy of hemodynamic boundary condition acquisition but also contributes to refining the metrological traceability system of non-invasive blood pressure measurement.

Objective:To analyze the latent prevalence of hepatitis B and type 2 diabetes and their correlation through an observational study.Methods:This study used a case-control design. The cases with diabetes were recruited through the diabetes management system and village doctors, while the controls without diabetes were screened from volunteers recruited by village health clinics. Capillary blood samples were collected from the study participants for the measurement of real-time blood glucose level, and venous blood samples were taken from them for the detections of HBV serological markers. Firth logistic regression model was used to fit the relationship between HBsAg positive status and diabetes status.Results:The study included 1 218 diabetes patients, 62 patients with impaired fasting glucose and 491 cases without diabetes. In the cases without diagnosis of diabetes, 11.15% had impaired fasting blood glucose and 4.43% had diabetes. Among those who reported no or unknown diagnosis of hepatitis B, 1.73% were positive for HBsAg, while 18.80% were positive for both HBV core antibody and surface antibody, indicating latent infection of hepatitis B virus. In the non-diabetes group, 0.81% reported hepatitis B history, and in the diabetes group, 2.76% reported hepatitis B history. After adjustment, the HBsAg positive rate was higher in the diabetes group ( OR=2.90, 95% CI: 1.21-6.91). Conclusions:Both diabetes and hepatitis B exhibited a high degree of latent prevalence. The HBsAg positive rate was significantly higher in those with diabetes than in those without diabetes, indicating a potential correlation. These findings highlighted the importance of strengthened screening and management of comorbidities.

Objective:Exploration of the immunogenicity and persistence of three different immunization regimens of hepatitis B vaccines in diabetic patients.Methods:Participants with diabetes and non-diabetic individuals were recruited from study sites and assigned to different vaccination regimens: the diabetic group (①D60Yeast0-1: received 60 μg Saccharomyces cerevisiae-derived recombinant HBV vaccine on a 0-1-month schedule; ②D20Yeast0-1-6: received 20 μg Saccharomyces cerevisiae-derived recombinant HBV vaccine on a 0-1-6-month schedule; ③D20CHO0-1-6: received 20 μg Chinese hamster ovary (CHO) cell-derived recombinant HBV vaccine on a 0-1-6-month schedule) and the non-diabetic group (ND20Yeast0-1-6: non-diabetic individuals received 20 μg Saccharomyces cerevisiae-derived recombinant HBV vaccine on a 0-1-6-month schedule). Venous blood samples were collected at 1,12, and 48 months post-full vaccination to measure anti-HBs levels. Differences in immunogenicity between diabetic and non-diabetic groups, as well as among diabetic subgroups, were analyzed.Results:This study enrolled a total of 564 subjects. In the D20CHO0-1-6 group, the seroconversion rate decreased from 90.72% (95% CI: 84.84%-96.60%) at 1 month to 74.23% (95% CI: 65.37%-83.08%) at 48 months, and the antibody geometric mean concentration (GMC) decreased from 676.08 (95% CI: 389.05- 1 148.20) mIU/ml at 1 month to 33.11 (95% CI: 23.44-46.77) mIU/ml at 48 months. In the D20Yeast0-1-6 group, the seroconversion rate declined from 93.81% (95% CI: 89.29%-98.32%) at 1 month to 63.72% (95% CI: 54.71%-72.72%) at 48 months, with antibody GMC dropping from 630.96 (95% CI: 407.40-954.99) mIU/ml to 25.70 (95% CI: 17.78-38.02) mIU/ml over the same period. For the D60Yeast0-1 group, seroconversion rate fell from 82.03% (95% CI: 75.29%-88.77%) to 56.25% (95% CI: 47.54%-64.96%), and antibody GMC decreased from 81.28 (95% CI: 51.29-128.82) mIU/ml to 15.49 (95% CI: 11.75-20.89) mIU/ml between 1 and 48 months. The ND20Yeast0-1-6 group (non-diabetic control) exhibited a higher initial seroconversion rate of 97.56% (95% CI: 94.80%- 100.00%) at 1 month, but it still declined to 76.42% (95% CI: 68.82%-84.03%) at 48 months, with antibody GMC decreasing from 1 318.30 (95% CI: 912.01- 1 905.50) mIU/ml to 34.67 (95% CI: 25.12-47.86) mIU/ml. Multivariate analysis on factors influencing the GMC of antibodies revealed statistically significant differences in antibody GMC between the D20Yeast0-1-6 group and ND20Yeast0-1-6 group at 12 months (a OR=0.73, 95% CI: 0.58-0.93) and 48 months (a OR=0.79, 95% CI: 0.63-0.99) post-vaccination (all P<0.05). As for the diabetic population, when compared with the D20Yeast0-1-6 group, the D60Yeast0-1 group also showed statistically significant differences in antibody GMC at 12 months (a OR=0.57, 95% CI: 0.44-0.74) and 48 months (a OR=0.60, 95% CI: 0.47-0.76)(all P<0.05). Conclusions:The seroconversion rate and antibody GMC gradually decreased over time (1, 12, and 48 months) in the four groups. Diabetic patients showed poor immunogenicity and persistence to hepatitis B vaccines. The immunogenicity and persistence of hepatitis B vaccination in diabetic patients were associated with vaccine type, antigen dose, and vaccination regimen. The CHO cell-recombinant hepatitis B vaccine demonstrated better performance in terms of immunogenicity and persistence among the diabetic population.

Objective To observe the effects of Bushen Huoxue Prescription on the pathway related to necroptosis of nucleus pulposus cells in a model rabbit of intervertebral disc degeneration;To explore its mechanisms in delaying intervertebral disc degeneration.Methods A intervertebral disc degeneration rabbit model was established using the spinal instability method.Totally 40 model rabbits were randomly divided into model group,ibuprofen group and Bushen Huoxue Prescription low-,medium-and high-dosage groups.Additionally,a normal control group and a sham-operation group were set up,with 8 rabbits in each group.Each treatment groups received the corresponding drugs via gavage for two consecutive weeks.HE staining was used to observe morphology of nucleus pulposus tissue,transmission electron microscopy was used to observe ultrastructure in nucleus pulposus cells,immunohistochemical staining was used to assess the expressions of Aggrecan and Collagen Ⅱ in nucleus pulposus tissue,Western blot was used to detect the expressions of p-RIPK1,p-RIPK3 and p-MLKL protein in nucleus pulposus tissue.Results Compared with the sham-operation group,the model group showed a significant decrease in nucleus pulposus cells,disordered cell arrangement,reduced extracellular matrix,interrupted cell membrane continuity under transmission electron microscopy,organelle swelling,nuclear membrane disruption,partial chromatin loss,and positive expression of Aggrecan and Collagen Ⅱ in nucleus pulposus tissue decreased(P<0.01),while the expressions of p-RIPK1,p-RIPK3 and p-MLKL protein significantly increased(P<0.01).Compared with the model group,the treatment groups showed an increased number of nucleus pulposus cells with orderly arrangement and more extracellular matrix,the ultrastructural damage of the cell membrane,organelle and nucleus in nucleus pulposus cells was partially restored under transmission electron microscopy,the positive expressions of Aggrecan and Collagen Ⅱ significantly increased in Bushen Huoxue Prescription medium-and high-dosage groups and the ibuprofen group(P<0.05,P<0.01),while the expressions of p-RIPK1,p-RIPK3 and p-MLKL protein significantly decreased(P<0.05,P<0.01).Conclusion Bushen Huoxue Prescription may delay intervertebral disc degeneration of the model rabbit by inhibiting the expressions of p-RIPK1,p-RIPK3 and p-MLKL protein in nucleus pulposus cells,and promoting the generation of extracellular matrix components Aggrecan and Collagen Ⅱ.