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.

The Chinese expert consensus on the prevention and treatment of acute gastrointestinal injury in severe patients with integrated traditional Chinese and Western medicine is a hard-won guiding document in the field of severe acute gastrointestinal injury(AGI)in recent years,for the combination of traditional Chinese and Western medicine.We invited four non-consensus panel experts(associate senior level or above)to score independently using Joanna Briggs Institute(JBI)critical appraisal checklist for expert consensus released by JBI in Australia,and the appraisal of guidelines for research and evaluationⅡ(AGREEⅡ),to evaluate the methodological quality of the consensus,and to provide reference for clinicians.In the evaluation of JBI checklist for consensus,all experts selected"yes"for 7 items,with high consistency,leading to a pretty good conclusion that the consensus is worthy of recommendation.In the AGREEⅡevaluation,the standardized scoring rates of scope and purpose,stakeholder involvement,rigour of development,clarity of presentation,applicability,editoral independence were 77.78%,90.28%,79.17%,81.94%,72.92%,93.75%.Respectively,all of which were greater than 60%,and the recommended level was a level.The intraclass correlation coefficient(ICC)of the first five domains were 0.700,0.066,0.776,0.688,0.532,respectively.The ICC values of independent domain cannot be calculated because the scores was almost identical.The overall assessment score was 6.00±1.15,with a total score rate of 83.33%.Two experts recommended direct application,and the other two recommended revised use.The overall evaluation believes that the Chinese expert consensus on the prevention and treatment of acute gastrointestinal injury in severe patients with integrated traditional Chinese and Western medicine has high overall quality and good application value.

Cervical perivascular sympathectomy (CPVS) involves an excision of the sympathetic nerve plexus surrounding the carotid arteries to improve cerebral blood supply and achieves the therapeutic purposes. CPVS has been applied in neurosurgery for treatment of cerebral ischemic diseases such as moyamoya disease (MMD) and cerebral palsy (CP). The mechanism of CPVS is not yet clear, even the efficacy of it has been clinically recognised. This paper summarises comprehensive reviews of the anatomy of cervical sympathetic nerves, historical evolution, current status in application and possible mechanisms of CPVS.

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 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 compare the effect between unilateral and bilateral upper limb training on motor function of severely hemi-plegic upper limbs in subacute stroke patients after priming robot-assisted training.Methods From September,2023 to December,2024,60 inpatients with hemiplegia after stroke were recruited from Guangdong Work Injury Rehabilitation Hospital,and randomly divided into control group(n=30)and experi-mental group(n=30).Both groups first received 30 minutes of upper limb robot-assisted training.Subsequently,the control group received movement-based unilateral upper limb training for 30 minutes,while the experimental group received activity-based bilateral upper limb training for 30 minutes,for three weeks.They were assessed with Fugl-Meyer Assessment-Upper Extremities(FMA-UE),Hong Kong version of the Functional Test for the Hemiplegic Upper Extremity(FTHUE-HK)and modified Barthel Index(MBI)before and after treatment.Results The scores of FMA-UE,FTHUE-HK and MBI improved in both groups after treatment(t>4.020,P<0.01),and all the scores were better in the experimental group than in the control group(t>2.456,P<0.05).Conclusion Activity-based bilateral upper limb training after priming robot-assisted training is more effective on motor function of severely hemiplegic upper limbs in stroke patients.

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.

In recent years, with the exploration and development of machine learning algorithms in the medical scenario, their potential for application in clinical diagnosis and treatment has been gradually explored. Image-based machine learning algorithms have made a lot of progress in urological cancer-related research, and have been proven to have a positive effect on the diagnosis, treatment and prognosis of urological cancer. Despite the great impact of machine learning algorithms clinically, they are still in the exploratory stage, with many deficiencies and limitations.

In recent years, with the exploration and development of machine learning algorithms in the medical scenario, their potential for application in clinical diagnosis and treatment has been gradually explored. Image-based machine learning algorithms have made a lot of progress in urological cancer-related research, and have been proven to have a positive effect on the diagnosis, treatment and prognosis of urological cancer. Despite the great impact of machine learning algorithms clinically, they are still in the exploratory stage, with many deficiencies and limitations.