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 investigate the causal association between immune cell and different types of sepsis by using Mendelian randomization (MR) method, and to find the immune cell phenotypes causally associated with sepsis.Methods:Summary data for various circulating immune cell phenotypes were obtained from the GWAS catalog (GCST90001391-GCST90002121). Sepsis data were sourced from the UK Biobank database. Single nucleotide polymorphisms (SNP) were used as instrumental variables. The correlation threshold of P < 5×10 -6 was used to identify the strongly correlated instrumental variables, and the code was used to remove the linkage disequilibrium and the instrumental variables with F-value < 10. Inverse variance weighting (IVW) was used as the main research method to evaluate the stability and reliability of the results, including Cochran's Q test, MR-Egger regression and Leave one out. Reverse MR analysis was performed based on the immunophenotypic results of the removal of horizontal pleiotropy, and the immune cell phenotype with one-way causal association was obtained. Odds ratio ( OR) and 95% confidence interval (95% CI) were used to represent the effect value of the results. Results:CD16 on CD14 -CD16 + monocyte had horizontal pleiotropy in sepsis ( OR = 0.965?4, 95% CI was 0.933?5-0.998?3, P = 0.039?6). There were five immunophenotypes that had reverse causal associations with the types associated with sepsis. After excluding immune cell phenotypes with horizontal pleiotropy and reverse causation, a total of 42 immune cell phenotypes with sepsis, 36 immune cell phenotypes with sepsis (28-day death in critical care), 32 immune cell phenotypes with sepsis (critical care), 44 immune cell phenotypes with sepsis (28-day death), and 30 immune cell phenotypes had potential causal associations with sepsis (under 75 years old). After false discovery rate (FDR) correction, the correlations between BAFF-R on IgD - CD38br and sepsis (28-day death) were negative and strong ( OR = 0.737?8, 95% CI was 0.635?9-0.856?0, P = 6.05×10 -5, PFDR = 0.044?2). Conclusion:A variety of immune cell phenotypes may have a protective effect on sepsis, especially BAFF-R on IgD - CD38br expression is negatively correlated with sepsis (28-day death), which provides a new idea for immune modulation therapy in sepsis.

Objective To analyze the therapeutic effect of self-adhesive absorbent fiber dressing on su-perficial ulcer of stage 2 pressure injury.Methods Sixty patients with stage 2 pressure injury superficial ul-cers(71 sites)in the thoracic surgery ICU of this hospital from October 2020 to October 2023 were selected and divided into the control group(30 cases,36 sites)and experimental group(30 cases,35 sites)according to the random number table method.The control group was added with the exudation absorption dressing on the basis of conventional pressure injury therapy,while the experimental group was added the self-adhesive ab-sorbent fiber on the basis of conventional pressure injury therapy.After 3 weeks,the clinical efficacy,healing time,dressing change times and pain score were observed and compared between the two groups.Results The total effective rate of clinical treatment in the experimental group was 100.0％(30/30),which was significant-ly higher than 90.0％(27/30)in the control group.The cure time of the experimental group was(17.35±4.17)d,which was significantly shorter than(30.58±4.65)d of the control group.The number of dressing changes in the experimental group was(15.43±1.21)times,which was significantly lower than(53.24±3.43)times in the control group.The pain score of the experimental group was(2.33±1.45)points,which was significantly lower than(8.71±0.52)points of the control group.The above indicators had statistical differences between the two groups(P＜0.05).Conclusion The effect of self-adhesive absorbent fiber in the treatment of stage 2 pressure injury superficial ulcer is obvious,which could increase the clinical curative effect,shorten the healing time,reduce the times of dressing change and relieve the pain of the patients,it has good clinical application value.