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 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 aberrant alterations of microRNAs ( miRNAs) in exosomes derived from bone marrow stromal cells ( BMSCs) in the bone marrow supernatants of patients with acute myeloid leukemia (AML) and their impact on the prognosis of AML patients . Methods: Bone marrow supernatant samples were col- lected from three AML patients and three healthy donors . Exosomes were isolated using a commercial kit , identif- ying the morphology and marker expression , and subjected to miRNA sequencing to determine differentially ex- pressed miRNAs (DE-miRNAs) . The DE-miRNAs were then intersected with the exosomal miRNA expression pro- files of primary AML cells (GSE64029) to exclude AML cell - derived signals and to identify BMSC-derived DE - miRNAs . Subsequently , candidate miRNAs were identified through Cox regression and Lasso regression analyses based on data from The Cancer Genome Atlas (TCGA) . A prognostic risk model for AML was constructed , and pa- tients were stratified into high-risk and low-risk groups according to the median risk score . The prognostic value and clinical relevance of the model were further validated . Finally , the target genes of the candidate miRNAs were pre- dicted , followed by pathway enrichment analysis , construction of key regulatory networks , and correlation analysis between the expression levels of key miRNAs and their corresponding target genes . Results: Isolated exosomes ex- hibited a typical cup-shaped morphology with intact structures with particle size of 30 - 150 nm , and expressed exo- somal markers CD63 , ALIX , and TSG101 . miRNA sequencing identified 103 DE-miRNAs in AML patients com- pared with healthy donors; after intersection with the GSE64029 dataset , 83 BMSC-derived DE-miRNAs were re- tained . Among these , five candidate miRNAs ( miR-25-3p , miR-532-5p , miR-194-5p , miR-10a-5p , and miR- 20a-5p) were used to construct the prognostic model . Kaplan-Meier survival analysis demonstrated significantly lon- ger overall survival in the low-risk group compared with the high-risk group (P < 0. 05) . The areas under the ROC curve for the training/validation cohorts were 0. 80/0. 74 , 0. 80/0. 78 , and 0. 79/0. 64 at 1 , 2 , and 3 years , re- spectively . The prognostic model was significantly associated with risk stratification , patient age , and FAB classifi- cation (P < 0. 05) . KEGG pathway enrichment revealed that target genes of the candidate miRNAs were closely linked to cancer-related signaling pathways , including hepatocellular carcinoma , breast cancer , and non-small cell lung cancer. Correlation analysis indicated that the candidate miRNAs were significantly associated with key genes such as HIF1A , CREB1 , PIK3CA , IGF1R , PIK3R1 , TIAM1 , CRK , and PTEN (P < 0. 05) . Conclusion AML patients exhibit distinct miRNA expression profiles in BMSC-derived exosomes . A five-miRNA signature ( miR-25 - 3p , miR-532-5p , miR-194-5p , miR-10a-5p , and miR-20a-5p) demonstrates robust prognostic performance , sup- porting its potential clinical utility in risk stratification and outcome prediction for AML.

Objective To examine the effect and electrophysiological mechanism of repetitive transcranial magnetic stimulation(rT-MS)augmentated to group cognitive training(GCT)on children with high-functioning autism spectrum disorder(ASD)comorbided with attention-deficit/hyperactivity disorder(ADHD).Methods From March to December,2023,70 children diagnosed with ASD+ADHD were recruited from the Affiliated Xuzhou Children's Hospital of Xuzhou Medical University and partnering special education centers.They were randomly divided into control group(n=35)and experimental group(n=35).Both groups received standard-ized GCT,twice a week,for ten weeks.During the same period,the control group received sham stimulation,while the experimental group additionally received 1 Hz rTMS over the right temporoparietal junction at 80%of resting motor threshold,five times a week,for ten weeks.Core symptoms were assessed before and after treat-ment with the Social Responsiveness Scale-2(SRS-2),Repetitive Behavior Scale-Revised(RBS-R)and Conners Parent Rating Scale-3(CPRS-3)attention-deficit and hyperactivity/impulsivity subscales.Resting-state EEG was simultaneously recorded to obtain θ and β power spectral density(PSD)and the θ/β ratio at Fz,Cz and Pz.Results Two cases in the control group and one in the experimental group dropped down.After treatment,SRS-2 scores(|Z|>4.876,P<0.001)and RBS-R scores(|Z|>4.329,P<0.001)decreased in both groups.CPRS-3 attention-deficit scores(|Z|>4.940,P<0.001)and hyperactivity/impulsivity scores(|t|>16.273,P<0.001)decreased in both groups,and they were lower in the experimental group(Z=4.732,P<0.001;t=-3.169,P<0.01).In the experimental group,Fz θ-PSD decreased significantly(Z=-4.830,P<0.001),and it was lower than that in the control group(Z=-2.609,P=0.009);and the θ/β ratio likewise fell(t=4.754,P<0.001),and it was lower than that in the control group(t=-2.256,P=0.027).Conclusion Adding rTMS to GCT can further alleviate attention deficits and hyperactive-impulsive symptoms in chil-dren with ASD comorbided with ADHD,which may associate with the inhibit of power of θ wave in profrontal contex.

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 examine the effect and electrophysiological mechanism of repetitive transcranial magnetic stimulation(rT-MS)augmentated to group cognitive training(GCT)on children with high-functioning autism spectrum disorder(ASD)comorbided with attention-deficit/hyperactivity disorder(ADHD).Methods From March to December,2023,70 children diagnosed with ASD+ADHD were recruited from the Affiliated Xuzhou Children's Hospital of Xuzhou Medical University and partnering special education centers.They were randomly divided into control group(n=35)and experimental group(n=35).Both groups received standard-ized GCT,twice a week,for ten weeks.During the same period,the control group received sham stimulation,while the experimental group additionally received 1 Hz rTMS over the right temporoparietal junction at 80%of resting motor threshold,five times a week,for ten weeks.Core symptoms were assessed before and after treat-ment with the Social Responsiveness Scale-2(SRS-2),Repetitive Behavior Scale-Revised(RBS-R)and Conners Parent Rating Scale-3(CPRS-3)attention-deficit and hyperactivity/impulsivity subscales.Resting-state EEG was simultaneously recorded to obtain θ and β power spectral density(PSD)and the θ/β ratio at Fz,Cz and Pz.Results Two cases in the control group and one in the experimental group dropped down.After treatment,SRS-2 scores(|Z|>4.876,P<0.001)and RBS-R scores(|Z|>4.329,P<0.001)decreased in both groups.CPRS-3 attention-deficit scores(|Z|>4.940,P<0.001)and hyperactivity/impulsivity scores(|t|>16.273,P<0.001)decreased in both groups,and they were lower in the experimental group(Z=4.732,P<0.001;t=-3.169,P<0.01).In the experimental group,Fz θ-PSD decreased significantly(Z=-4.830,P<0.001),and it was lower than that in the control group(Z=-2.609,P=0.009);and the θ/β ratio likewise fell(t=4.754,P<0.001),and it was lower than that in the control group(t=-2.256,P=0.027).Conclusion Adding rTMS to GCT can further alleviate attention deficits and hyperactive-impulsive symptoms in chil-dren with ASD comorbided with ADHD,which may associate with the inhibit of power of θ wave in profrontal contex.

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 retrieve and evaluate relevant literatures on pain management for patients after hemorrhoidectomy and summarize the best evidence. Methods Based on the 6S evidence model, computer-based searches were conducted in relevant domestic and foreign databases for literatures related to pain after hemorrhoidectomy, including guidelines, expert consensus, systematic reviews, meta-analysis, and randomized controlled trial (RCT), from the establishment of the databases to March 12, 2023. The quality of evidence meeting the evaluation criteria was evaluated according to the corresponding literature evaluation criteria, and was summarized in combination with expert opinions. Results A total of 16 literatures were included (1 guideline, 6 expert consensus, 8 systematic reviews, and 1 RCT); the evidence included pain identification and assessment, drug management measures, traditional Chinese medicine therapy, and perioperative health education, eventually 21 pieces of evidence were extracted. Conclusion After hemorrhoidectomy, the most effective pain management plan should be developed based on the patient's condition and clinical status to relieve postoperative pain.

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.