Objective:To explore the incidence of delirium in patients of advanced age hospitalized in internal medicine departments and analyze its influencing factors.Methods:A retrospective analysis was conducted on the medical records of 586 patients of advanced age hospitalized in internal medicine departments at the Beijing University of Chinese Medicine Third Affiliated Hospital from May 2023 to May 2024. Patients were divided into a delirium group and a non-delirium group based on whether delirium occurred. Univariate analysis and binary Logistic regression analysis were used to explore the factors influencing delirium in patients of advanced age hospitalized in internal medicine departments.Results:Among 586 patients of advanced age hospitalized in internal medicine departments, the incidence of delirium was 21.2% (124/586). Binary Logistic regression analysis showed that age, activities of daily living (Barthel Index), folate deficiency, sleep disorders, and indwelling catheters were factors influencing delirium in patients of advanced age hospitalized in internal medicine departments ( P<0.05) . Conclusions:The incidence of delirium is high among patients of advanced age hospitalized in internal medicine departments. Healthcare professionals should pay particular attention to elderly patients with advanced age, limited activities of daily living, folate deficiency, sleep disorders, and indwelling catheters, and should implement targeted preventive strategies as early as possible.

Objective To construct a patient decision aid(PtDA)for exercise training in pa-tients with chronic obstructive pulmonary disease(COPD)and explore its impacts on decision-making quality of patients' exercise regimens.Methods The development of the PtDA for exercise training in COPD patients was accomplished through literature analysis,the Delphi method,and user surveys,followed by an intervention study.A total of 59 inpatients with COPD were included as study sub-jects.The control group received routine care along with general exercise training guidance,while the intervention group received routine care combined with shared decision-making for exercise training based on the PtDA.The decision conflict and decision preparedness levels of patients in both groups were compared before the intervention and on the day of discharge.The exercise self-efficacy of pa-tients was measured before intervention,on the day of discharge,and 1 month and 3 months after dis-charge.Results The intervention group had significantly lower scores for decision conflict and signif-icantly higher scores for decision preparedness and exercise self-efficacy compared with the control group(P＜0.05).Conclusion The PtDA for exercise training can improve decision conflict and de-cision preparedness in COPD patients,enhance their exercise self-efficacy levels,and provide references for healthcare professionals in improving exercise adherence.

Objective:To explore the incidence of delirium in patients of advanced age hospitalized in internal medicine departments and analyze its influencing factors.Methods:A retrospective analysis was conducted on the medical records of 586 patients of advanced age hospitalized in internal medicine departments at the Beijing University of Chinese Medicine Third Affiliated Hospital from May 2023 to May 2024. Patients were divided into a delirium group and a non-delirium group based on whether delirium occurred. Univariate analysis and binary Logistic regression analysis were used to explore the factors influencing delirium in patients of advanced age hospitalized in internal medicine departments.Results:Among 586 patients of advanced age hospitalized in internal medicine departments, the incidence of delirium was 21.2% (124/586). Binary Logistic regression analysis showed that age, activities of daily living (Barthel Index), folate deficiency, sleep disorders, and indwelling catheters were factors influencing delirium in patients of advanced age hospitalized in internal medicine departments ( P<0.05) . Conclusions:The incidence of delirium is high among patients of advanced age hospitalized in internal medicine departments. Healthcare professionals should pay particular attention to elderly patients with advanced age, limited activities of daily living, folate deficiency, sleep disorders, and indwelling catheters, and should implement targeted preventive strategies as early as possible.

Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.

Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.

Objective To explore the application effect of pulmonary rehabilitation exercise health education program based on contemplation-action-maintenance (CAM) theory in patients with chronic obstructive pulmonary disease (COPD). Methods A total of 90 COPD patients were selected as the study subjects and randomly divided into control group (n=45) and intervention group (n=45). A total of 5 patients were excluded, with 42 cases finally included in the intervention group and 43 cases in the control group. The control group received routine exercise health education, while the intervention group received pulmonary rehabilitation exercise health education based on the CAM theory. The Readiness for Hospital Discharge Scale (RHDS), Behavioral Regulation in Exercise Questionnaire-3 (BREQ-3), Benefit Finding Scale (BFS), exercise adherence scale scores and exercise tolerance[6-minute walk test (6MWT)]were compared between the two groups. Results At discharge, the RHDS score of the intervention group was higher than that of the control group, with a statistically significant difference (P < 0.05). At discharge and at 1 month as well as 3 months after discharge, the BREQ-3 and BFS scores of the intervention group were higher than those of the control group, with statistically significant differences (P < 0.05). At 1 month and 3 months after discharge, the exercise adherence scale scores and 6MWT distances of the intervention group were higher or longer than those of the control group, with statistically significant differences (P < 0.05). Conclusion The pulmonary rehabilitation exercise health education program based on CAM theory can improve the discharge readiness and exercise motivation of COPD patients, enhance their awareness of disease benefit and exercise compliance, and improve the exercise endurance of patients.

Objective To investigate the progress of two-dimensional echocardiographic parameters in patients with different severity of aortic stenosis.Methods A retrospective analysis was per-formed on 96 patients diagnosed with aortic stenosis with at least 2 times of transthoracic echo-cardiography(interval ≥1 year)in Department of Cardiology,Fourth Medical Center of Chinese PLA General Hospital from March 2017 to December 2023.According to aortic stenosis severity,they were divided into a mild group(72 cases),a moderate group(14 cases)and a severe group(10 cases).Peak pressure gradient(PPG)across aortic valve,Vmax,mean aortic valve pressure gradient(ΔPm),pulmonary artery systolic pressure(PASP)were collected,and the changes and annual progress of these echocardiographic parameters at baseline and before and after follow-up were analyzed.Results The values of IVST,LVPWT,Vmax,aortic valve PPG and ΔPm were sig-nificantly increased in the mild,moderate and severe stenosis groups in turn(P＜0.05,P＜0.01).The values of Vmax,PPG and ΔPm were significantly lower in the mild stenosis group than the moderate and severe stenosis groups,and the LVPWT value was obviously lower in the mild ste-nosis group than the severe stenosis group(P＜0.05).The aortic valve PPG and ΔPm values at follow-up were significantly higher than those before the follow-up in the three stenosis groups(P＜0.05,P＜0.01).After follow-up,the Vmax values in mild and moderate stenosis groups were notably higher than before(P＜0.01).The PASP value at follow-up was significantly higher than before in the severe stenosis group(P＜0.05).The annual progression rate of Vmax,PASP,LVEF were gradually increased in the mild,moderate,and severe stenosis groups(P＞0.05).The annual progression rate of ΔPm was gradually increased in the three groups in turn(2.30±1.77 mm Hg/year vs 2.40±1.18 mm Hg/year vs 6.08±1.70 mm Hg/year,P＜0.05).Conclusion As the severity of baseline aortic stenosis increases,obvious changes are observed in cardiac structure and function.Before and after follow-up,the serious the aortic stenosis severity is,the faster the annual progression rates of Vmax,PPG,LVEF and PASP are.

Objective:To explore the pathogenesis of major depressive disorder(MDD) by comparing the serum glucose and lipid metabolism indicators, levels of glucagon-like peptide-1(GLP-1) in plasma and feces, and the content of specific intestinal flora ( Lactobacillus, Bifidobacterium) between patients with MDD who were diagnosed for the first time and healthy controls. Methods:Totally 80 MDD patients hospitalized from January 1, 2020 to March 30, 2021 and 80 healthy volunteers with normal physical examination in the same period were selected. Blood and fecal samples of patients with MDD and healthy controls were collected respectively. The indicators of serum glucose and lipid metabolism were detected by automatic biochemical analyzer, the concentrations of GLP-1 in plasma and feces were detected by ELISA, and the relative contents of Lactobacillus and Bifidobacterium in feces were detected by real-time PCR. The differences between two groups of glucose and lipid metabolism indicators, GLP-1 levels and the relative contents of Lactobacillus and Bifidobacterium in feces were analyzed. SPSS 22.0 software was used for statistical analysis. Independent sample t-test and analysis of variance were used for inter group comparison, and Pearson correlation analysis was used for correlation analysis. Results:Compared with the control group, the levels of serum TC, HDL, and LDL in the MDD group decreased ((3.99±0.85)mmol/L , (4.78±0.86)mmol/L; (1.18±0.29)mmol/L, (1.30±0.28)mmol/L; (2.64±0.70)mmol/L, (3.19±0.69)mmol/L; t=5.559, 2.371, 4.695, all P<0.05). The plasma and fecal GLP-1 levels of the MDD group were lower than those of the control group (plasma: (0.81±0.22)pmol/mL, (1.05±0.26)pmol/mL , t=4.509, P<0.01; feces: (2.23±0.46)pmol/mL , (2.47±0.37)pmol/mL, t=2.533, P<0.05). Compared with the control group, the relative contents of Lactobacillus(2.56±1.59, 3.51±2.21) and Bifidobacterium(2.24±1.89 , 3.17±2.08) in the MDD group decreased ( t=2.218, 2.082, both P<0.05). The level of plasma GLP-1 in the MDD group was negatively correlated with FPG, TG, and disease severity ( r=-0.281, -0.221, -0.437, P<0.05). The level of plasma GLP-1 in the control group was negatively correlated with FPG ( r=-0.580, P<0.01). The fecal GLP-1 level of the MDD group was negatively correlated with the severity of the disease ( r=-0.298, P<0.01), and the fecal GLP-1 level of the control group was positively correlated with fecal Lactobacillus and Bifidobacterium ( r=0.685, 0.428, P<0.01). Conclusion:MDD patients have abnormal glucose and lipid metabolism, decreased GLP-1 level and decreased relative content of intestinal Lactobacillus and Bifidobacterium. Changes in intestinal flora affect GLP-1 levels. GLP-1 can affect glucose and lipid metabolism and depressive symptoms in patients with MDD by binding to specific receptors in intestinal tract and central nervous system.

Objective:To translate the Providing Mouth Care Scale (PMCs) into Chinese, and apply it to nurses to test its reliability and validity.Methods:From November to December 2021, convenience sampling was used to select 250 nurses from six ClassⅢ hospitals in Hebei Province as research objects to participate in the survey. The scale was translated according to the Brislin process, and the scale was culturally adjusted on the basis of expert consultation and pre-investigation to form the Chinese version of PMCs. The Chinese version of PMCs was used to survey nurses to measure the reliability and validity. A total of 250 questionnaires were distributed, and 223 questionnaires were effectively recovered, with an effective recovery rate of 89.2% (223/250) .Results:The Chinese version of PMCs consisted of two subscales, self-efficacy (SE-PMC) and attitude (A-PMC) . SE-PMC contained three dimensions, and A-PMC contained two dimensions, a total of 21 items. The content validity index of PMCs was 0.930, and the Cronbach's α coefficient was 0.807, and the test-retest reliability coefficient was 0.893. A total of 5 common factors were extracted, and the cumulative variance contribution rates were all >50%.Conclusions:The Chinese version of PMCs has good reliability and validity, and can be used to measure nurses' attitudes and self-efficacy towards oral health management.

Objective:To investigate the expressions and significance of cyclin D2 and bcl-2 in diffuse large B-cell lymphoma (DLBCL) and their clinical significances.Methods:The tissues of 87 DLBCL patients undergoing resection and 23 patients with lymphoid tissue reactive hyperplasia (RLH) in the First Central Hospital of Baoding from January 2015 to March 2020 were collected. Immunohistochemistry method was used to detect the expressions of cyclin D2 and bcl-2 in tissues of DLBCL and RLH, and the relationship between the expressions of cyclin D2 and bcl-2 as well as the association with the clinicopathological features of DLBCL patients.Results:The positive rates of cyclin D2 protein in DLBCL and RLH were 33.3% (29/87) and 2.0% (1/23), the positive rates of bcl-2 protein in DLBCL and RLH were 60.9% (54/87) and 7.0% (3/23); the positive rates of cyclin D2 and bcl-2 in DLBCL were higher than those in RLH, and the differences were statistically significant( χ2=7.566, P=0.006; χ2=17.512, P < 0.01). The expressions of cyclin D2 and bcl-2 proteins were related to the Ann Arbor staging and immunophenotype of DLBCL patients (all P < 0.05), while not related to age, gender, cancer location, tissue type (all P > 0.05). There was a positive correlation between the expressions of cyclin D2 and bcl-2 protein in DLBCL ( r=1.000, P < 0.01). Conclusions:cyclin D2 and bcl-2 may be related to the development and progression of DLBCL, and both may have some synergies.