ObjectiveTo investigate the clinical efficacy and potential mechanism of Shengmai Jiuxin decoction in the treatment of acute decompensated heart failure （ADHF） with the traditional Chinese medicine （TCM） pattern of Qi and Yin deficiency， Yang deficiency， and blood stasis. MethodsA total of 68 patients diagnosed with ADHF of Qi and Yin deficiency， Yang deficiency， and blood stasis type were randomly assigned to an observation group （34 cases） and a control group （34 cases）. Both groups received conventional Western medical treatment， while the observation group was additionally administered Shengmai Jiuxin decoction. Parameters compared before and after treatment included： TCM syndrome score， TCM syndrome efficacy， New York Heart Association （NYHA） functional classification， left ventricular ejection fraction （LVEF）， N-terminal pro-B-type natriuretic peptide （NT-proBNP）， six-minute walk distance （6MWD）， hypoxia-inducible factor-1 alpha （HIF-1α）， vascular endothelial growth factor A （VEGF-A）， Caspase-3， and the number of rehospitalizations for heart failure within one month after discharge. ResultsThere were no significant differences in sex， age， vital signs， or underlying diseases between the two groups. Compared with baseline， both groups exhibited significant reductions in TCM syndrome scores， NT-proBNP， and HIF-1α levels （P<0.01）， as well as significant increases in 6MWD， LVEF， VEGF-A， and Caspase-3 levels （P<0.05， P<0.01）. After treatment， the observation group showed significantly greater reductions in TCM syndrome score， NT-proBNP， HIF-1α， and Caspase-3 levels compared with the control group （P<0.05） and significantly greater increases in 6MWD， TCM syndrome efficacy， and VEGF-A levels （P<0.05）. No significant differences were observed between the groups in NYHA functional classification， LVEF， or the number of rehospitalizations for heart failure within one month after discharge. No drug-related adverse events were reported in either group during the treatment period. ConclusionShengmai Jiuxin decoction can improve cardiac function and clinical symptoms in patients with ADHF of Qi and Yin deficiency， Yang deficiency， and blood stasis type. Its mechanisms may be related to the regulation of the HIF-1 signaling pathway by modulating targets such as HIF-1α， VEGF-A， and Caspase-3.

ObjectiveTo investigate the clinical efficacy and potential mechanism of Shengmai Jiuxin decoction in the treatment of acute decompensated heart failure （ADHF） with the traditional Chinese medicine （TCM） pattern of Qi and Yin deficiency， Yang deficiency， and blood stasis. MethodsA total of 68 patients diagnosed with ADHF of Qi and Yin deficiency， Yang deficiency， and blood stasis type were randomly assigned to an observation group （34 cases） and a control group （34 cases）. Both groups received conventional Western medical treatment， while the observation group was additionally administered Shengmai Jiuxin decoction. Parameters compared before and after treatment included： TCM syndrome score， TCM syndrome efficacy， New York Heart Association （NYHA） functional classification， left ventricular ejection fraction （LVEF）， N-terminal pro-B-type natriuretic peptide （NT-proBNP）， six-minute walk distance （6MWD）， hypoxia-inducible factor-1 alpha （HIF-1α）， vascular endothelial growth factor A （VEGF-A）， Caspase-3， and the number of rehospitalizations for heart failure within one month after discharge. ResultsThere were no significant differences in sex， age， vital signs， or underlying diseases between the two groups. Compared with baseline， both groups exhibited significant reductions in TCM syndrome scores， NT-proBNP， and HIF-1α levels （P<0.01）， as well as significant increases in 6MWD， LVEF， VEGF-A， and Caspase-3 levels （P<0.05， P<0.01）. After treatment， the observation group showed significantly greater reductions in TCM syndrome score， NT-proBNP， HIF-1α， and Caspase-3 levels compared with the control group （P<0.05） and significantly greater increases in 6MWD， TCM syndrome efficacy， and VEGF-A levels （P<0.05）. No significant differences were observed between the groups in NYHA functional classification， LVEF， or the number of rehospitalizations for heart failure within one month after discharge. No drug-related adverse events were reported in either group during the treatment period. ConclusionShengmai Jiuxin decoction can improve cardiac function and clinical symptoms in patients with ADHF of Qi and Yin deficiency， Yang deficiency， and blood stasis type. Its mechanisms may be related to the regulation of the HIF-1 signaling pathway by modulating targets such as HIF-1α， VEGF-A， and Caspase-3.

Objective:To construct an evaluation system for clinical thinking ability of general practitioners in the treatment of multimorbidity.Methods:This was a cross-sectional study. The draft of evaluation indexes for clinical thinking ability of general practitioners in treatment of multimorbidity was preliminary developed through literature review, collation, analysis and discussion. Nineteen clinical and teaching experts of general practice were selected for consultation via anonymous convenient sampling. From January to June 2022, 2 rounds of expert consultation were conducted using the Delphi method. During the first round of consultation, according to the survey feedback, we modified and improved the evaluation system of general practitioners′ clinical thinking ability for multi-disease co-treatment. During the second round, experts were asked to assess the importance of each index, and to calculate the weight of each index accordingly. Questionnaires were sent to experts via letters. The content of the questionnaires encompasses the basic information of experts, evaluation for various indexes and relevant opinions. The mean value of importance assignment ≥3.5, coefficient of variation ≤0.25 and the full score frequency ≥30% were taken as the criteria. Indexes unsatisfying the criteria were removed, so that the final index system could be constructed.Results:The average age of 19 experts was 50.2 years old, 9 of them were male. A total of 2 rounds of expert consultation were conducted, 19 questionnaires were issued in each round, and 19 effective questionnaires were received afterwards. In the first round of consultation, 10 experts put forward revised opinions, and some indexes were adjusted according to the definition criteria and the discussion of the research group. In the second round of consultation, 3 experts put forward suggestions for modification. According to the definition criteria, no need to delete the indexes. After discussion by the research group, some indexes were adjusted, and finally an evaluation system of clinical thinking ability for multi-disease co-treatment of general practitioners was established, including 4 first-level indexes and 30 second-level indexes. The weights of the 4 first-level indexes in descending order were "overall thinking ability" (38.01%), "diagnostic thinking ability" (33.96%), "evidence-based thinking ability" (14.75%), and "critical thinking ability" (13.28%). Among the 30 secondary indexes, the top 5 were "ability to identify and handle priority emergency incidents" (5.04%), "risk assessment and critical illness identification ability" (4.63%), "emergency referral ability" (4.61%), "communication and expression ability" (4.57%), and "standardized diagnosis and treatment ability" (4.23%).Conclusion:This study successfully constructed an evaluation system for clinical thinking ability of general practitioners in the treatment of multimorbidity.

Objective To explore the value of the Physiology and Surgical Severity Score(POSSUM)scoring system in predicting postoperative complications in elderly patients with thoracic surgery,and to ana-lyze its correlation with Clavien-Dindo classification.Methods The data of 182 elderly patients who under-went thoracic surgery in this hospital from October 2019 to March 2023 were retrospectively analyzed.They were divided into the complication group and the non-complication group according to whether there were complications after surgery.The baseline data and POSSUM score of the two groups were analyzed,and the receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of POSSUM for post-operative complications in elderly patients.POSSUM of patients with different Clavien-Dindo classification was compared,and the correlation between POSSUM and Clavien-Dindo classification analyzed.Results The incidence of pulmonary infection was the highest in the complication group,followed by hypoproteinemia.POSSUM in the complication group was higher than that in non-complication group before operation,and the difference was statistically significant(P＜0.05).The ROC curve showed that the area under curve(AUC)value of POSSUM was 0.829;In the complication group,according to Clavien-Dindo classification,there were 5 cases of grade Ⅰ,47 cases of grade Ⅱ,8 cases of grade Ⅱ Ⅲ,7 cases of grade Ⅳ and 8 cases of grade V,the difference was statistically significant(P＜0.05).The correlation analysis showed that POSSUM score was positively correlated with Clavien-Dindo classification(r＞0.513,P＜0.05).Conclusion The POSSUM scoring system has a high value in predicting postoperative complications in elderly patients with thoracic surgery.

Objective:To analyze the methylation characteristics of the lymphocyte-specific protein-tyrosine kinase (LCK) promoter region in the peripheral blood circulation of rheumatoid arthritis (RA) patients and its correlation with clinical indicators.Methods:Targeted methylation sequencing was used to compare the methylation levels of 7 CpG sites in the LCK promoter region in the peripheral blood of RA patients with healthy controls (HC) and osteoarthritis (OA) patients. Correlation analysis and ROC curve construction were performed with clinical information.Results:Non-parametric tests revealed that compared with HC [0.53(0.50, 0.57)] and OA patients [0.59(0.54, 0.62), H=47.17, P<0.001], RA patients [0.63(0.59, 0.68)] exhibited an overall increase in methylation levels. Simultaneously, when compared with the HC group [0.38(0.35, 0.41), 0.59(0.55, 0.63), 0.60(0.55, 0.64), 0.59(0.55, 0.63), 0.58(0.53, 0.62), 0.45(0.43, 0.49), 0.57(0.54, 0.61)], the RA group [0.46(0.42, 0.49), 0.70(0.65, 0.75), 0.70(0.66, 0.76), 0.70(0.65, 0.75), 0.69(0.64, 0.74), 0.55(0.51, 0.59), 0.68(0.63, 0.73)] showed a significant elevation in methylation levels at CpG sites cg05350315_60, cg05350315_80, cg05350315_95, cg05350315_101, cg05350315_104, cg05350315_128, and cg05350315_142, with statistically significant differences ( Z=-5.63, -5.89, -5.91, -5.89, -5.98, -5.95, -5.95, all P<0.001). Compared with the OA group [0.65(0.59, 0.69), 0.65(0.60, 0.69), 0.64(0.58, 0.68), 0.50(0.45, 0.54), 0.63(0.58, 0.67)], the RA group [0.70(0.66, 0.76), 0.70(0.65, 0.75), 0.69(0.64, 0.74), 0.55(0.51, 0.59), 0.68(0.63, 0.73)] exhibited a significant increase in methylation levels at CpG sites cg05350315_95, cg05350315_101, cg05350315_104, cg05350315_128, and cg05350315_142, with statistically significant differences ( Z=-3.56, -3.52, -3.60, -3.67, -3.62; P=0.036, 0.042, 0.031, 0.030, 0.030). Furthermore, Pearson correlation coefficient analysis revealed a positive correlation between the overall methylation level in this region and C-reactive protein (CRP) ( r=0.19, P=0.004) and erythrocyte sedimentation rate ( r=0.14, P=0.035). The overall methylation level of the LCK promoter region in the CRP (low) group [0.63 (0.58, 0.68)] was higher than that in the CRP (high) group [0.65(0.61, 0.70)], with statistically significant differences ( Z=2.60, P=0.009). Finally, by constru-cting a ROC curve, the discriminatory efficacy of peripheral blood LCK promoter region methylation levels for identifying RA patients, especially seronegative RA patients, from HC and OA groups was validated, with an AUC value of 0.78 (95% CI: 0.63, 0.93). Conclusion:This study provides insights into the methylation status and methylation haplotype patterns of the LCK promoter region in the peripheral blood of RA patients. The overall methylation level in this region is positively correlated with the level of inflammation and can be used to differentiate seronegative RA patients from the HC and OA patients.

Objective Chlorination is often used to disinfect recreational water in large amusement parks;however,the health hazards of chlorination disinfection by-products(DBPs)to occupational populations are unknown.This study aimed to assess the exposure status of chlorinated DBPs in recreational water and the health risks to employees of large amusement parks. Methods Exposure parameters of employees of three large amusement parks in Shanghai were investigated using a questionnaire.Seven typical chlorinated DBPs in recreational water and spray samples were quantified by gas chromatography,and the health risks to amusement park employees exposed to chlorinated DBPs were evaluated according to the WHO's risk assessment framework. Results Trichloroacetic acid,dibromochloromethane,bromodichloromethane,and dichloroacetic acid were detected predominantly in recreational water.The carcinogenic and non-carcinogenic risks of the five DBPs did not exceed the risk thresholds.In addition,the carcinogenic and non-carcinogenic risks of mixed exposure to DBPs were within the acceptable risk limits. Conclusion Typical DBPs were widely detected in recreational water collected from three large amusement parks in Shanghai;however,the health risks of DBPs and their mixtures were within acceptable limits.

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.

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 explore the incidence and risk factors of parastomal hernia after colostomy.Methods:The retrospective cohort study was conducted. The clinicopathological data of 145 patients undergoing colostomy in Xinxiang Central Hospital from January 2015 to January 2019 were collected. There were 86 males and 59 females, aged(59±11) years. Patients received pelvic and abdominal computed tomography once every 6 months after colostomy to detect the occurrence of parastomal hernia. Measurement data with normal distribution were represented as Mean± SD, and the independent sample t test was used for comparison between groups. Measurement data with skewed distribution were represented as M(range). Count data were represented as absolute numbers, and chi-square test or Fisher exact probability was used for comparison between groups. Kaplan-Meier method was used to analyze the cumulative annual incidence of parastomal hernia. Logarithmic rank test was used to analyze the cumulative incidence based on clinical variables. COX proportional hazard regression model was used for univariate and multivariate analyses. Results:(1) Incidence of parastomal hernia after colostomy. All the 145 patients were followed up for 86(range, 60?108)months after colostomy, of which 46 cases had parastomal hernia and 99 cases had no parastomal hernia. There were significant differences in gender, age, body mass index (BMI) and chronic liver disease between patients with and without parastomal hernia after colostomy ( χ2=23.28, t=13.27, χ2=6.17, 5.82, P<0.05). (2) Annual cumulative incidence of parastomal hernia after colostomy. The 1-, 3-, and 5-year cumulative incidence of parastromal hernia after colostomy was 8.5%, 26.4% and 42.7%, respectively. When the follow-up time is more than 5 years, the incidence of parastromal hernia tended to be stable. The 5-year incidence of parastomal hernia after colostomy in female patients was higher than that in male patients (70.7% vs 20.3%, χ2=12.37, P<0.05). The 5-year incidence of parastomal hernia after colostomy in patients≥60 years old was higher than that in patients under 60 years old (49.8% vs 20.0%, χ2=10.52, P<0.05). The 5-year incidence of parastomal hernia after colostomy in patients with BMI >28 kg/m 2 was higher than that in patients with BMI ≤28 kg/m 2 (55.3% vs 33.2%, χ2=11.76, P<0.05). The 5-year incidence of parastomal hernia after colostomy in patients with chronic liver disease was higher than that in patients with non-chronic liver disease (45.2% vs 32.4%, χ2=15.32, P<0.05). (3) Analysis of risk factors for parastomal hernia after colostomy. Results of multivariate analysis showed that female, age >60 years old, BMI ≥28 kg/m 2 and chronic liver disease were independent risk factors for parastomal hernia after colostomy ( hazard ratio=2.70, 2.51, 1.85, 5.88, 95% confidence intervals as 1.39?6.74, 1.01?4.59, 1.02?4.87, 1.05?8.24, P<0.05). Conclusions:The incidence of parastomal hernia after colostomy is increasing year by year, and tends to be stable after 5 years. Female, age >60 years old, BMI≥28 kg/m 2, and chronic liver disease are independent risk factors for parastomal hernia after colostomy.

Objective Bibliometric approaches are used to investigate the characteristics and benefits of traditional Chinese medicine treatments for dominant diseases that can be applied in clinical therapy to effectively manage geriatric diseases.Methods Clinical research literature on the use of traditional Chinese medicine in the treatment of geriatric diseases within the past 10 years was retrieved from CNKI,Wanfang,VIP,and CBM databases.The research trends and clinical efficiency of each disease were statistically analyzed to determine the dominant diseases of TCM.Results A total of 22 859 articles were collected,with 3768 included in the research.In accordance with the International Statistical Classification of Diseases and Related Health Problems(ICD-11)of the World Health Organization,the diseases were classified into 17 categories and 149 diseases.The diseases primarily affect the circulatory system,skeletal musculoskeletal or connective tissue system,and digestive system.Conclusions Traditional Chinese medicine clinical trials on the treatment of geriatric illnesses cover a diverse spectrum of diseases,although the distribution of focus is unequal.Potential dominant illnesses were eventually identified to include osteoporosis,constipation,and hypertension,with heart failure,stroke,coronary heart disease,diabetes and its complications,and insomnia being potential sub-dominant diseases.