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.

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 investigate the relationship between platelet to lymphocyte ratio(PLR)and low-density lipoprotein cholesterol(LDL-C)/high-density lipoprotein cholesterol(HDL-C)ratio with the degree of carotid artery stenosis,neurological deficits,and prognosis in elderly pa-tients with ischemic stroke and carotid artery stenosis.Methods A total of 186 elderly patients diagnosed with ischemic stroke and carotid artery stenosis admitted in our hospital from June 2021 to June 2024 were enrolled in this study.The PLR and LDL-C/HDL-C ratio were collected,and then with median split,they were divided into high and low PLR groups(both 93 cases),and high and low LDL-C/HDL-C groups(both 93 cases).General clinical data were compared between the two pairs of groups.Multivariate logistic regression analysis was used to identify the factors influencing the severity of carotid artery stenosis,neurological deficits,and prognosis.Kendall's Tau-b correlation analysis was employed to assess the relationship of PLR and LDL-C/HDL-C with the degree of carotid artery stenosis and prognosis.Pearson correlation analysis was conduc-ted to evaluate the association of PLR and LDL-C/HDL-C with neurological deficits.Results Sta-tistically differences were observed in the degree of carotid artery stenosis and prognosis between the high and low PLR groups(P＜0.01).The NIHSS score was significantly higher in the high PLR group(P＜0.01).Similar differences were noted between the high and low LDL-C/HDL-C groups in terms of degree of carotid artery stenosis and prognosis(P＜0.01).The NIHSS score was obviously higher in the high LDL-C/HDL-C group(P＜0.01).Multivariate logistic regression analysis showed that PLR and LDL-C/HDL-C were risk factors for the degree of carotid artery stenosis,neurological deficits and prognosis in elderly patients with carotid artery stenosis after ischemic stroke(OR=3.842,95％CI:2.551-5.328,P=0.000;OR=3.604,95％CI:2.402-5.407,P=0.000;OR=2.956,95％CI:1.955-4.471,P=0.000;OR=3.463,95％CI:2.506-4.785,P=0.000;OR=2.878,95％CI:1.991-4.160,P=0.000;OR=3.785,95％CI:2.483-5.768,P=0.000).Kendall's Tau-b correlation analysis showed that PLR and LDL-C/HDL-C were positively correlated with the degree of carotid artery stenosis and the prognosis in these eld-erly patients(P＜0.05).Pearson correlation analysis indicated that PLR and LDL-C/HDL-C were positively correlated with the NIHSS score in the patients(P＜0.05).Conclusion For the elderly ischemic stroke patients with carotid artery stenosis,PLR and LDL-C/HDL-C are related to the prognosis,and can be used to help assess the severities of carotid artery stenosis and neurological deficits.

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 investigate the relationship between platelet to lymphocyte ratio(PLR)and low-density lipoprotein cholesterol(LDL-C)/high-density lipoprotein cholesterol(HDL-C)ratio with the degree of carotid artery stenosis,neurological deficits,and prognosis in elderly pa-tients with ischemic stroke and carotid artery stenosis.Methods A total of 186 elderly patients diagnosed with ischemic stroke and carotid artery stenosis admitted in our hospital from June 2021 to June 2024 were enrolled in this study.The PLR and LDL-C/HDL-C ratio were collected,and then with median split,they were divided into high and low PLR groups(both 93 cases),and high and low LDL-C/HDL-C groups(both 93 cases).General clinical data were compared between the two pairs of groups.Multivariate logistic regression analysis was used to identify the factors influencing the severity of carotid artery stenosis,neurological deficits,and prognosis.Kendall's Tau-b correlation analysis was employed to assess the relationship of PLR and LDL-C/HDL-C with the degree of carotid artery stenosis and prognosis.Pearson correlation analysis was conduc-ted to evaluate the association of PLR and LDL-C/HDL-C with neurological deficits.Results Sta-tistically differences were observed in the degree of carotid artery stenosis and prognosis between the high and low PLR groups(P＜0.01).The NIHSS score was significantly higher in the high PLR group(P＜0.01).Similar differences were noted between the high and low LDL-C/HDL-C groups in terms of degree of carotid artery stenosis and prognosis(P＜0.01).The NIHSS score was obviously higher in the high LDL-C/HDL-C group(P＜0.01).Multivariate logistic regression analysis showed that PLR and LDL-C/HDL-C were risk factors for the degree of carotid artery stenosis,neurological deficits and prognosis in elderly patients with carotid artery stenosis after ischemic stroke(OR=3.842,95％CI:2.551-5.328,P=0.000;OR=3.604,95％CI:2.402-5.407,P=0.000;OR=2.956,95％CI:1.955-4.471,P=0.000;OR=3.463,95％CI:2.506-4.785,P=0.000;OR=2.878,95％CI:1.991-4.160,P=0.000;OR=3.785,95％CI:2.483-5.768,P=0.000).Kendall's Tau-b correlation analysis showed that PLR and LDL-C/HDL-C were positively correlated with the degree of carotid artery stenosis and the prognosis in these eld-erly patients(P＜0.05).Pearson correlation analysis indicated that PLR and LDL-C/HDL-C were positively correlated with the NIHSS score in the patients(P＜0.05).Conclusion For the elderly ischemic stroke patients with carotid artery stenosis,PLR and LDL-C/HDL-C are related to the prognosis,and can be used to help assess the severities of carotid artery stenosis and neurological deficits.

Objective:To investigate the effect of tofacitinib on early atherosclerosis of patients with systemic lupus erythematosus and explore the possible relationship between lupus nephritis and early atherosclerosis of systemic lupus erythematosus.Methods:Sixteen 8-week-old female MRL/lpr mice with a body weight of 20~25 g were selected and randomly divided into the treatment group and placebo group, with 8 mice in each group. The treatment group diluted tofacitinib by normal saline, and given at a dose of 10 mg·kg -1·d -1, and the placebo group (starch tablets) administered the medication in the same way as the treatment group for a total of 8 weeks. The ELISA method was applied to detect serum anti-dsDNA antibody levels in the two groups of mice. Bradford method protein concentration was used to determine the level of urine protein in mice. Automatic biochemical analyzer was used to detect blood lipids, urea nitrogen, serum creatinine, complement C3, complement C4 levels. Western blotting was used to determine the protein expression levels of monocyte chemoattractant protein-1 (MCP-1), non-receptor protein tyrosine kinase family 1 (JAK1), signal transducer and activator of transcription 1 (STAT1) and signal transducer and activator of transcription 2 (STAT2) in aortic and kidney tissues. After the aortic arch section were prepared, oil red O was used to stain the sections, and the vascular plaque area and intimal thickness were evaluated by ImageJ software. The kidneys were dissected and stained with HE, and the active lesions of lupus nephritis were evaluated using the glomerular activity scoring system. SPSS 23.0 software was used for statistical analysis, in which the between-group comparison was performed using two independent samples t-test, and the correlation analysis was performed using the Spearman method. Results:①The serum anti-dsDNA antibody expression level in the treatment group [(5.2±1.0) U/ml] was lower than that in the placebo group [(6.9±1.2) U/ml], ( Z=-3.07, P=0.008), and the levels of complement C3 and complement C4 were higher than those in the placebo group [(293±10) mg/L vs. (260±19) mg/L, Z=2.72, P=0.017]; (16±6) mg/L vs. (8±9) mg/L, Z=3.78, P=0.006]. There was no significant difference in serum BUN and Scr between the treatment group and the placebo group [(10.6±0.7) mmol/L vs. (11.5±1.1) mmol/L, Z=-1.96, P=0.071; (17±5) μmol/L vs. (22±6) μmol/L, Z=-1.79, P=0.095]. ② Compared with the placebo group, the levels of LDL, TC and TG in the treatment group decreased [(0.83±0.15) mmol/L vs. (1.08±1.05) mmol/L, Z=-3.95, P=0.001; (2.90±0.08) mmol/L vs. (1.81±0.97) mmol/L, Z=-5.17, P=0.001; (1.10±0.08) mmol/L vs. (1.60±0.42) mmol/L, Z=-3.23, P=0.013], and HDL level increased [(2.02±0.99) mmol/L vs. (1.81±0.97) mmol/L, Z=4.42, P=0.001]. ③ Compared with the placebo group, the levels of aortic MCP-1, JAK1, STAT1 and STAT2 in the treatment group were reduced [(0.17±0.30) vs. (0.23±0.05), Z=-3.06, P=0.009; (0.83±0.09) vs. (1.05±0.19), Z=-3.07, P=0.008; (0.77±0.07) vs. (0.94±0.13), Z=-2.83, P=0.014; (0.70±0.07) vs. (0.82±0.09), Z=-2.83, P=0.013], the aortic plaque area and aortic intimal thickness were lower than those in the placebo group [(12±31) μm 2vs. (1 242±1 101) μm 2, Z=-3.12, P=0.016; (63±7) μm vs. (82.10±8.06) μm, Z=-5.13, P<0.001]. ④ Compared with the placebo group, the urine protein level and glomerulonephritis activity score in the treatment group were decreased [(0.08±0.03) mg/mL vs. (0.20±0.11) mg/mL, Z=-3.08, P=0.015; (1.79±0.38) vs. (2.79±0.14) points, Z=-7.08, P<0.001)], and renal tissue MCP-1, JAK1, STAT1.Compared with the placebo group, STAT2 levels were reduced [(0.364±0.040) vs. (0.425±0.021), Z=-3.85, P=0.003; (0.689±0.074) vs. (0.838±0.068), Z=-4.19, P=0.001; (0.508±0.070) vs. (0.646±0.019), Z=-2.85, P=0.015; (0.618±0.062) vs. (0.740±0.101), Z=-2.94, P=0.013. ⑤ The glomerular mobility scores of the two groups were positively correlated with LDL, TCHO, TG, aortic plaque area and aortic intimal thickness ( r=0.51, P=0.043; r=0.79, P<0.001; r=0.64, P=0.008; r=0.82, P<0.001; r=0.74, P=0.001), and negatively correlated with HDL ( r=-0.53, P=0.036). The urine protein levels in the two groups were positively correlated with LDL, TC, TG, aortic plaque area and aortic intimal thickness ( r=0.67, P=0.004; r=0.68, P=0.004; r=0.53, P=0.033; r=0.80, P<0.001; r=0.74, P=0.001), and negatively correlated with HDL ( r=-0.57, P=0.021). Conclusion:The severity of lupus nephritis is correlated with atherosclerosis and dyslipidemia in the early stage of systemic lupus erythematosus. Tofacitinib may reduce the degree of early arteriosclerosis and lupus nephritis in MRL/LPR mice, and reduce blood lipid levels, which may be effective in improving the prognosis of SLE and improving the survival rate of patients.

Objectives:To search, evaluate, and summarize the evidence related to the application management of over-the-counter (OTC) medications for constipation in the elderly, providing evidence-based support for the rational use of these medications.Methods:A systematic search was conducted through computerized decision support systems, guideline websites, professional association websites, and databases for clinical decisions, guidelines, evidence summaries, and expert consensus on the management of OTC medications for constipation in the elderly. The search period spanned from January 2018 to March 2023. The quality of the literature was independently assessed, and evidence was extracted. The 2014 version of the Joanna Briggs Institute (JBI) evidence grading system was used to determine the levels of evidence.Results:A total of 18 article were included, consisting of two clinical decisions, five guidelines, seven expert consensus statements, and four evidence summaries. These covered five areas: medication principles for elderly individuals with different characteristics, medication selection, medication monitoring, health education, and precautions, culminating in a total of 30 best evidence.Conclusions:This study summarizes the best evidence for the management of OTC medications for constipation in the elderly, providing evidence-based support for the rational application of these medications.

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.