ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.

A chemical investigation of secondary metabolites (SMs) from Aspergillus nidulans resulted in the identification of five novel dioxopiperazine (DKP)-diphenyl ether hybrids, designated as diphenylemestrins A-E (1-5). These compounds 1-5 represent the first known dimers combining DKP and diphenyl ether structures, with compound 4 featuring an uncommon dibenzofuran as the diphenyl ether component. The structural elucidation and determination of absolute stereochemistry were accomplished through spectroscopic analysis and electronic circular dichroism (ECD) calculations. Notably, diphenylemestrin C (3) exhibited moderate cytostatic activity against NB4 cells, with a half maximal inhibitory concentration (IC₅₀) value of 21.99 μmol·L^-1, and induced apoptosis at higher concentrations.
Aspergillus nidulans/metabolism* ; Diketopiperazines/pharmacology* ; Molecular Structure ; Phenyl Ethers/pharmacology* ; Humans ; Apoptosis/drug effects* ; Cell Line, Tumor

Background::Pathological scars are a disorder that can lead to various cosmetic, psychological, and functional problems, and no effective assessment methods are currently available. Assessment and treatment of pathological scars are based on cutaneous manifestations. A two-photon microscope (TPM) with the potential for real-time non-invasive assessment may help determine the under-surface pathophysiological conditions in vivo. This study used a portable handheld TPM to image epidermal cells and dermal collagen structures in pathological scars and normal skin in vivo to evaluate the effectiveness of treatment in scar patients. Methods::Fifteen patients with pathological scars and three healthy controls were recruited. Imaging was performed using a portable handheld TPM. Five indexes were extracted from two dimensional (2D) and three dimensional (3D) perspectives, including collagen depth, dermo-epidermal junction (DEJ) contour ratio, thickness, orientation, and occupation (proportion of collagen fibers in the field of view) of collagen. Two depth-dependent indexes were computed through the 3D second harmonic generation image and three morphology-related indexes from the 2D images. We assessed index differences between scar and normal skin and changes before and after treatment.Results::Pathological scars and normal skin differed markedly regarding the epidermal morphological structure and the spectral characteristics of collagen fibers. Five indexes were employed to distinguish between normal skin and scar tissue. Statistically significant differences were found in average depth ( t = 9.917, P <0.001), thickness ( t = 4.037, P <0.001), occupation ( t= 2.169, P <0.050), orientation of collagen ( t = 3.669, P <0.001), and the DEJ contour ratio ( t = 5.105, P <0.001). Conclusions::Use of portable handheld TPM can distinguish collagen from skin tissues; thus, it is more suitable for scar imaging than reflectance confocal microscopy. Thus, a TPM may be an auxiliary tool for scar treatment selection and assessing treatment efficacy.

Objective:To compare the mid-term clinical effects of AngioJet rheolytic thrombectomy assisted catheter-directed thrombolysis (ART+CDT) with catheter-directed thrombolysis (CDT) in the treatment of acute deep venous thrombosis of lower extremities.Methods:Ninety-one patients admitted to the Department from Jan 2016 to Dec 2017 were placed with inferior vena cava filters and divided into ART+CDT group (30 cases)and CDT group (61 cases). Total urokinase dosge, thrombolytic time, operative cost, length of hospital stay, detumescence rate, thrombus clearance rate, cumulative patency rate of lower limb veins, Villalta score at 2 years and 5 years, thrombosis recurrence rate and chronic venous insufficiency quality of life questionnaire were compared between the two groups.Results:The success rate of surgery was 100% in both groups, there was no mortality. There were significant differences in the short-term postoperative outcomes between the two groups in terms of total dosage of urokinase, thrombolysis time, total cost of surgery, length of hospital stay, detumescence rate, venous patency scores before and after treatment, and venous patency rate (all P<0.05). For the mid- and long-term postoperative outcomes of 2 and 5 years, there were no significant differences in the incidence of PTS, recurrence rate of thrombus, chronic venous function scale, and cumulative patency rate at 2 years (all P>0.05). Conclusions:ART+CDT has a significant advantage over CDT alone in terms of early efficacy and early reopening of blood flow in patients. Both ART+CDT and CDT have a low incidence of PTS and a low recurrence rate of thrombus in the mid-term follow-up, and both have satisfactory performance in the mid- and long-term efficacy of interventional treatment of deep venous thrombosis of lower limbs.

Objective:To investigate the geriatric nursing competency of undergraduate nursing interns in four schools of nursing in Beijing as well as the influencing factors, and to provide a reference for perfecting the geriatric nursing education system in colleges and universities.Methods:From October to November 2022, a cross-sectional survey was performed on 223 undergraduate nursing interns selected by convenience sampling from four schools of nursing in Beijing, with the use of a general information questionnaire and the Gerontological Nursing Competence instrument. A general linear regression model was established to explore the factors influencing the geriatric nursing competency of nursing interns.Results:The mean total score for gerontological nursing competency was (3.19±0.40). In all dimensions, the mean score was highest for "Providing a safe living environment for older persons" (3.40±0.47) and lowest for "Understanding the sexual needs of older persons" (2.78±0.73). The thought about whether gerontological nursing contents were enough and the level of motivation to study gerontological nursing courses were the factors affecting nursing interns' gerontological nursing competency ( P<0.05). Conclusions:The overall gerontological nursing competency of the nursing interns was at a medium level, with uneven competencies in different dimensions. Nursing schools should strengthen gerontological nursing course building and stimulate students' learning motivation to improve their gerontological nursing competency.

Objectives:This study aims to investigate the impact of different Low-Density Lipoprotein cholesterol(LDL-C)levels on progression of intermediate coronary stenosis,and the associated risk factors leading to the progression of such lesions. Methods:Data were collected on 219 consecutive patients admitted at the Fuwai Central China Vascular Hospital from January 2020 to February 2021,underwent angiographic examinations and diagnosed with intermediate coronary stenosis,with at least one follow-up angiography after 11 months.Offline quantitative flow ratio(QFR)analysis was performed on these cases.Patients were divided into two groups:LDL-C controlled group(LDL-C<1.8 mmol/L,148 patients with 191 vessels)and LDL-C uncontrolled group(LDL-C≥1.8 mmol/L,71 patients with 98 vessels).Coronary artery QFR and anatomical indicators such as minimal lumen diameter,minimal lumen area,percentage diameter stenosis,percentage area stenosis were compared within and between the groups.Further analysis was performed to identify influencing factors leading to changes in coronary physiological parameters derived from QFR. Results:Within the LDL-C controlled group,there was no significant difference in the QFR values of the vessels compared to baseline(P>0.05),whereas in the LDL-C uncontrolled group(P<0.05),a notable decline in QFR was observed.Patients in the LDL-C controlled group had lower rates of maximum diameter and area stenosis and higher minimum lumen diameter and area(all P<0.05).Through multifactorial Logistic regression analysis,it was found that a body mass index＞28 kg/m2,LDL-C≥1.8 mmol/L,and a history of myocardial infarction were independent risk factors leading to the decline in QFR(all P<0.05). Conclusions:It was found that patients in the LDL-C controlled group had higher coronary artery QFR,minimum lumen diameter and area,lower rates of maximum diameter and area stenosis.

Objective To explore the application effect of"three-station"teaching rounds in standardized training teach-ing rounds of general surgery residents.Methods 50 trained doctors from the general surgical base from July 2022 to July 2023 were randomly selected and divided into two groups,with 25 patients in each.The observation group used a"three-station"teaching ward round,while the control group used a traditional teaching ward round mode.The exam scores,ward round effects,satisfaction,and experience were compared.Results The total scores of the observation group were significantly higher than those of the control group(P＜0.05),and the scores of the medical history collection and physical examination in the case anal-ysis test and skill test were significantly higher than those of the control group(P＜0.05).There was no significant difference in the theoretical test scores between the two groups(P＞0.05).The proportion of"Yes"in the questionnaire of the observation group was higher than that of the control group in the aspects of improving the diagnosis and treatment of diseases,clinical think-ing,doctor-patient communication ability and increasing learning interest(P＜0.05).The satisfaction of questionnaire teaching round in the observation group was 84.0％,significantly higher than that in the control group(60.0％)(P＜0.05).In the observation group,the percentages of the attending physicians and the teaching rounds were 64.0％and 68.0％,respectively,which were significantly higher than those of the control group(28.0％and 32.0％,P＜0.05).Conclusion The"three-sta-tion"teaching ward round can improve the exam scores,ward round effectiveness and satisfaction,improve the experience of attending physicians and teaching ward round subjects,and is worth promoting in various resident training bases.

Objective:To investigate the correlation between overweight or obesity defined by body mass index (BMI) and functional outcome in patients with hypertensive intracerebral hemorrhage (HICH).Methods:Patients with HICH admitted to the Department of Neurosurgery, the First People's Hospital of Lianyungang from October 2020 to February 2022 were included retrospectively. According to BMI, they were divided into underweight or normal group (<24 kg/m 2) and overweight or obese group (≥24 kg/m 2). At one year after onset, the functional outcome were evaluated using the modified Rankin Scale. 0-2 was defined as good outcome, while >2 were defined as poor outcome. Cox proportional hazards regression model was used to analyze the correlation between BMI and the outcome of patients. Results:A total of 394 patients with HICH were enrolled, including 263 males (66.8%), aged 60.2±12.0 years. At one year after onset, 145 patients (36.8%) had poor outcome and 54 (13.7%) died. Compared with the underweight or normal group, the overweight or obese group had a higher proportion of previous type 2 diabetes history, as well as higher baseline diastolic blood pressure, low-density lipoprotein cholesterol and liver enzyme levels, better early outcome after discharge, and lower mortality at 1 year (all P<0.05). Multivariate analysis showed that the overweight or obese group had significantly better functional outcome compared to the underweight or normal group (hazard ratio 0.598, 95% confidence interval 0.419-0.854; P=0.005), but there was no statistically significant difference in all-cause mortality risk (hazard ratio 1.201, 95% confidence interval, 0.462-3.126; P=0.707). Conclusion:The overweight or obese patients with HICH have significantly better functional outcome at one year after onset, indicating that the obesity paradox also exists in patients with HICH.

Objective:Abnormal immune system activation and inflammation are crucial in causing Parkinson's disease.However,we still don't fully understand how certain immune-related genes contribute to the disease's development and progression.This study aims to screen key immune-related gene in Parkinson's disease based on weighted gene co-expression network analysis(WGCNA)and machine learning. Methods:This study downloaded the gene chip data from the Gene Expression Omnibus(GEO)database,and used WGCNA to screen out important gene modules related to Parkinson's disease.Genes from important modules were exported and a Venn diagram of important Parkinson's disease-related genes and immune-related genes was drawn to screen out immune related genes of Parkinson's disease.Gene ontology(GO)analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)were used to analyze the the functions of immune-related genes and signaling pathways involved.Immune cell infiltration analysis was performed using the CIBERSORT package of R language.Using bioinformatics method and 3 machine learning methods[least absolute shrinkage and selection operator(LASSO)regression,random forest(RF),and support vector machine(SVM)],the immune-related genes of Parkinson's disease were further screened.A Venn diagram of differentially expressed genes screened using the 4 methods was drawn with the intersection gene being hub nodes(hub)gene.The downstream proteins of the Parkinson's disease hub gene was identified through the STRING database and a protein-protein interaction network diagram was drawn. Results:A total of 218 immune genes related to Parkinson's disease were identified,including 45 upregulated genes and 50 downregulated genes.Enrichment analysis showed that the 218 genes were mainly enriched in immune system response to foreign substances and viral infection pathways.The results of immune infiltration analysis showed that the infiltration percentages of CD4+ T cells,NK cells,CD8+ T cells,and B cells were higher in the samples of Parkinson's disease patients,while resting NK cells and resting CD4+ T cells were significantly infiltrated in the samples of Parkinson's disease patients.ANK1 was screened out as the hub gene.The analysis of the protein-protein interaction network showed that the ANK1 translated and expressed 11 proteins which mainly participated in functions such as signal transduction,iron homeostasis regulation,and immune system activation. Conclusion:This study identifies the Parkinson's disease immune-related key gene ANK1 via WGCNA and machine learning methods,suggesting its potential as a candidate therapeutic target for Parkinson's disease.

Objective:To screen the main characteristic variables affecting the incidence of cardiovascular and cerebrovascular diseases,and to construct the Bayesian network model of cardiovascular and cerebrovascular disease incidence risk based on the top 10 characteristic variables,and to provide the reference for predicting the risk of cardiovascular and cerebrovascular disease incidence.Methods:From the UK Biobank Database,315 896 participants and related variables were included.The feature selection was performed by categorical boosting(CatBoost)algorithm,and the participants were randomly divided into training set and test set in the ratio of 7∶3.A Bayesian network model was constructed based on the max-min hill-climbing(MMHC)algorithm.Results:The prevalence of cardiovascular and cerebrovascular diseases in this study was 28.8％.The top 10 variables selected by the CatBoost algorithm were age,body mass index(BMI),low-density lipoprotein cholesterol(LDL-C),total cholesterol(TC),the triglyceride-glucose(TyG)index,family history,apolipoprotein A/B ratio,high-density lipoprotein cholesterol(HDL-C),smoking status,and gender.The area under the receiver operating characteristic(ROC)curve(AUC)for the CatBoost training set model was 0.770,and the model accuracy was 0.764;the AUC of validation set model was 0.759 and the model accuracy was 0.763.The clinical efficacy analysis results showed that the threshold range for the training set was 0.06-0.85 and the threshold range for the validation set was 0.09-0.81.The Bayesian network model analysis results indicated that age,gender,smoking status,family history,BMI,and apolipoprotein A/B ratio were directly related to the incidence of cardiovascular and cerebrovascular diseases and they were the significant risk factors.TyG index,HDL-C,LDL-C,and TC indirectly affect the risk of cardiovascular and cerebrovascular diseases through their impact on BMI and apolipoprotein A/B ratio.Conclusion:Controlling BMI,apolipoprotein A/B ratio,and smoking behavior can reduce the incidence risk of cardiovascular and cerebrovascular diseases.The Bayesian network model can be used to predict the risk of cardiovascular and cerebrovascular disease incidence.