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.

This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans ; Mendelian Randomization Analysis ; Gallstones/complications* ; Female ; Male ; Cholecystectomy/statistics & numerical data* ; Middle Aged ; Risk Factors ; Aged ; Adult ; Neoplasms/etiology* ; Stomach Neoplasms/epidemiology*

Nutritional support therapy is one of the extremely important treatment methods for patients in the intensive care unit. Timely and effective nutritional support regimens can improve patients' immune function, reduce complications, and optimize clinical outcomes. Energy expenditure is influenced by multiple factors, including patients' baseline characteristics (such as physical condition, gender, age) and dynamic changes in indicators (such as body temperature, nutritional support regimens, and therapeutic interventions). The currently recognized "gold standard" for accurately assessing energy metabolism in clinical practice is the indirect calorimetry system, also known as the metabolic cart. This device monitors carbon dioxide production and oxygen consumption in real time and uses specific algorithms to estimate the metabolic proportions of the three major nutrients (carbohydrates, fats, and proteins) in energy expenditure. An appropriate nutrient ratio helps maintain the balance between supply and demand in the body's nutritional metabolism. In the management of critically ill patients, the application of the metabolic cart enables personalized nutritional therapy, avoiding over- or under-supply of energy and optimizing the use of medical resources. Furthermore, with real-time, quantitative data support from the energy metabolism monitoring system, clinicians can develop more precise nutritional intervention strategies, thereby improving patient prognosis. This article provides a systematic review of the technical features of the metabolic cart and its application value in various critical care scenarios, aiming to offer a reference for indirect calorimetry in clinical practice.
Humans ; Critical Illness/therapy* ; Nutritional Support ; Energy Metabolism ; Calorimetry, Indirect

OBJECTIVES: This study aimed to investigate the association between temporomandibular disorder (TMD) and insomnia using a two-sample Mendelian randomization (MR) approach. METHODS: Bidirectional MR analyses of two samples, TMD (n=377 277) and insomnia (n=375 359), were performed using genome-wide association study statistics published in the FinnGen database. Instrumental variables were first screened, and then inverse variance weighting (IVW) and MR-Egger were used as the main-effect assessment methods. Weighted median, weighted mode, and simple mode served as supplementary methods. We used IVW and MR-Egger to test for heterogeneity, as well as MR-Egger intercepts to assess the single nucleotide polymorphism (SNP) potential level of multiplicity effects. Sensitivity analyses were conducted based on leave-one-out to identify potentially influential SNPs. All analyses were conducted by using the two-sample MR R package and were considered statistically significant when P<0.05. RESULTS: MR analysis showed the presence of TMD on insomnia (OR=1.089, 95%CI: 1.017-1.166, P=0.014). Meanwhile, no effect of insomnia on TMD (OR=0.996, 95%CI: 0.964-1.029, P=0.816) was found. The sensitivity-analysis showed that no heterogeneity existed (P>0.05), and the presence of horizontal pleiotropy was not detected (P>0.05). Leave-one-out sensitivity analysis showed no single SNP, which may affect the causal relation. All findings indicated that the causal relationship between TMD and insomnia was not significantly affected by any individual SNP and that IV did not bias the results. CONCLUSIONS Results of MR analyses showed that TMD is a risk factor for insomnia, whereas insomnia is not a risk factor for TMD.
Humans ; Sleep Initiation and Maintenance Disorders/genetics* ; Mendelian Randomization Analysis ; Polymorphism, Single Nucleotide ; Temporomandibular Joint Disorders/complications* ; Genome-Wide Association Study

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 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.

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 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.