Purpose: The aim of this retrospective study was to evaluate the relationship between admission base excess and clinical outcomes in postoperative patients with aortic dissection. Methods: Clinical data were extracted from the MIMIC-IV (Medical Information Mart for Intensive Care IV) database. The association between admission base excess and mortality in postoperative patients with aortic dissection was assessed using multivariate Cox regression and Kaplan-Meier survival analysis. Subgroup analysis and receiver operating characteristic (ROC) curve analysis were employed to evaluate the predictive performance of base excess for in-hospital, 30-day, 90-day, and 1-year mortality. Results: A total of 196 patients were categorized into the normal base excess (–3 to +3 mmol/L) group and abnormal base excess (<–3 or >+3 mmol/L) group. Multivariate Cox regression analysis revealed that arterial base excess was a significant predictor of all-cause mortality across all periods. Subgroup analyses showed no significant interaction effects.The area under the ROC curve for base excess ranged from 0.640 to 0.745, indicating comparable predictive performance to existing scoring tools. Conclusion Arterial base excess measured at admission is an effective and accessible predictor of mortality in patients with aortic dissection following surgical treatment.

The rationale for the design of control groups in tuina clinical trial is the foundation for rigorously validating the effectiveness and safety of this therapy. This article reviewed the current state of the design of tuina placebo in control groups of clinical trials， pointed out the necessity of setting up tuina placebo in clinical trials of tuina， analyzed the challenges in implementing blinding of tuina manipulation， and concluded that tuina placebo is still challenged by the placebo effect， the diversification of tuina manipulation but the lack of standardization， and the difficulty of implementing blinding due to the high level of public awareness of tuina. This article also summarized the design of placebo manipulation in three types of clinical trials， including spinal manipulation， acupressure， and paediatric tuina， and proposed four strategies for designing placebo tuina manipulation-controlling placebo effects， developing operational standards for placebo tuina manipulation， ensuring the rigor of blinding implementation， and applying new technologies to enhance the standardization and blinding capacity of placebo tuina methods. So the article is aimed at improving the methodological quality of tuina clinical trial designs， and promoting the standardization and scientificity of tuina clinical trial design.

Purpose: The aim of this retrospective study was to evaluate the relationship between admission base excess and clinical outcomes in postoperative patients with aortic dissection. Methods: Clinical data were extracted from the MIMIC-IV (Medical Information Mart for Intensive Care IV) database. The association between admission base excess and mortality in postoperative patients with aortic dissection was assessed using multivariate Cox regression and Kaplan-Meier survival analysis. Subgroup analysis and receiver operating characteristic (ROC) curve analysis were employed to evaluate the predictive performance of base excess for in-hospital, 30-day, 90-day, and 1-year mortality. Results: A total of 196 patients were categorized into the normal base excess (–3 to +3 mmol/L) group and abnormal base excess (<–3 or >+3 mmol/L) group. Multivariate Cox regression analysis revealed that arterial base excess was a significant predictor of all-cause mortality across all periods. Subgroup analyses showed no significant interaction effects.The area under the ROC curve for base excess ranged from 0.640 to 0.745, indicating comparable predictive performance to existing scoring tools. Conclusion Arterial base excess measured at admission is an effective and accessible predictor of mortality in patients with aortic dissection following surgical treatment.

Purpose: The aim of this retrospective study was to evaluate the relationship between admission base excess and clinical outcomes in postoperative patients with aortic dissection. Methods: Clinical data were extracted from the MIMIC-IV (Medical Information Mart for Intensive Care IV) database. The association between admission base excess and mortality in postoperative patients with aortic dissection was assessed using multivariate Cox regression and Kaplan-Meier survival analysis. Subgroup analysis and receiver operating characteristic (ROC) curve analysis were employed to evaluate the predictive performance of base excess for in-hospital, 30-day, 90-day, and 1-year mortality. Results: A total of 196 patients were categorized into the normal base excess (–3 to +3 mmol/L) group and abnormal base excess (<–3 or >+3 mmol/L) group. Multivariate Cox regression analysis revealed that arterial base excess was a significant predictor of all-cause mortality across all periods. Subgroup analyses showed no significant interaction effects.The area under the ROC curve for base excess ranged from 0.640 to 0.745, indicating comparable predictive performance to existing scoring tools. Conclusion Arterial base excess measured at admission is an effective and accessible predictor of mortality in patients with aortic dissection following surgical treatment.

Objective To investigate the mechanism of abdominal massage for treating chronic fatigue syndrome(CFS).Methods Thirty clean-grade female Sprague-Dawley rats were randomly divided into the normal control,model control,and abdominal massage groups(n=10 rats per group).The CFS rat model was established through cold water swimming combined with the chronic restraint method in the model control and abdominal massage groups.The rats in the abdominal massage group were treated with the core techniques of Jingu zang-fu massage,namely layer press"Guanyuan"(CV4)for 8 min and Tuanmo"Zhongwan"(CV12)for 12 min as the primary intervention techniques,once a day for 14 consecutive days.The rats in the two control groups did not receive intervention;however,they were bound to the experimental bench when the experimental group was massaged.After the intervention,the indexes of the main organs of the hypothalamic-pituitary-adrenal(HPA)axis and hippocampal cell apoptosis in each group were measured.The morphology of hippocampal cells in each group was observed using Nissl staining of hippocampal tissue and transmission electron microscopy of hippocampal neurons.Results The index of each organ in the model control group was upregulated(P<0.01)compared to that of the normal control group.In contrast,the index of each organ in the abdominal massage group was downregulated(P<0.01)compared with that of the model control group.Compared to the normal control group,the index of each organ in the abdominal massage group was upregulated;however,the difference was not significant.Compared to the normal control group,the cell nuclei in the model control group were significantly consolidated,the nuclear membrane structure was ruptured,and the margins were irregular.Most of the cell morphology in the abdominal massage group was normal compared with that of the model control group,and a small number of nuclear membrane structures were unclear.Compared to the normal control group,the hippocampal neuronal cell in the other two groups was significantly damaged,and the hippocampal neuronal cell in the abdominal massage group was in good condition compared to the model control group.The degree of neuronal apoptosis in the model control group was significantly higher than that in the normal control group(P<0.01).The degree of neuronal apoptosis in the abdominal massage group decreased compared to that of the model control group(P<0.01),which was slightly higher than that in the normal control group but not significant.Conclusion Cold water swimming combined with chronic restraint can simulate CFS in rats,and abdominal massage can reduce the organ index of the hypothalamus,pituitary gland,and adrenal gland,increase hippocampal cell activity,reduce hippocampal tissue damage,inhibit hippocampal cell apoptosis,and maintain the normal physiological function of hippocampal neurons.

The combination of sourness,bitterness,sweetness,pungency,and saltness results in different effects.Through the analysis of the theory of combining five flavours in Fu Qingzhu's Obstetrics and Gynecology,this article explores its application in formulation ideas and the characteristics of Chinese medication,summarized as"primarily sweet,with all four flavors harmonized".FU Qingzhu emphasizes the central role of sweet-flavour medicine in facilitating conception,while incorporating the other four flavours in synergy.For instance,sweet and pungent flavours can boost yang energy,eliminating chilliness and warming the uterus;sour and sweet flavours can nourish yin essence and protect the uterus;bitter and sweet flavours can tonify yin,supporting the kidneys and moistening the uterus;and pungent and salty flavours can eliminate stasis,regenerate blood,and enhance uterine functions.By flexibly utilizing the flavours and meridian affinity of traditional Chinese medicine,along with the theory of combining five flavours,it is possible to enhance drug compatibility,deepen the theoretical connotation of Chinese formulas,and regulate the uterus from both yin and yang aspects to facilitate conception.FU Qingzhu's integration of multiple Chinese formulas into a single formula allows for comprehensive treatment.Clear differentiation of dosages within the formula highlights the primary and secondary relationships of traditional Chinese medicines.Additionally,the utilization of pharmaceutical processing techniques optimizes efficacy and regulates meridians and collaterals.This article explores FU Qingzhu's application of the"pure and harmonious traditional Chinese medicines"theory.His prescription thinking enables the attainment of multi-level therapeutic effects,which greatly benefits the optimization of traditional Chinese medicine fertility assistance programs and increases pregnancy rates among infertility patients.

Objective:To analyze identification of copper death gene related subtypes,construction of prognosis model and influence of immune infiltration in osteosarcoma(OS)on basis of copper death gene.Methods:Survival and prognosis of OS associated copper death gene were analyzed combining by TARGET and GEO database.OS was divided into different subtypes of copper death by consistent clustering method.SSGSEA was used to analyze difference of immune cells in classification of copper death.Setting P value= 0.05 and q value=0.05,GO and KEGG enrichment analysis were performed on differential genes of copper death typing.Prognosis model was constructed according to results of Lasso regression analysis and cross validation,risk assessment analysis and ROC curve were used to evaluate accuracy of model prediction.Combined with clinical characteristics,nomograms were constructed to predict survival time of patients,and risk differences were analyzed.Immune cell infiltration and tumor microenvironment analysis were performed on OS samples."pRRophetic"package in R software was used to analyze drug sensitivity of OS samples.Results:FDX1,GLS,DLAT and PDHB as high-risk genes for OS prognosis were identified.According to copper death classification of OS samples,OS could be divided into two types:CRGclusterA and CRGclusterB.CRGclusterA was associated with Th2 cells,and CRGclusterB was associated with Th1 cells.Most OS copper death genes were highly expressed in CRGclusterA.Immune cell infiltration analysis results showed that γδ T cells,resting mast cells and resting dendritic cells were positively correlated with risk score,while CD8 T cells were negatively correlated with risk score.Drug sensitivity analysis showed that OS showed higher sensitivity to Elesclomol and GW.441756.Conclusion:Two subtypes of CRGclusterA and CRGclusterB are identified in this study.Four high-risk prognostic genes FDX1,GLS,DLAT and PDHB are identified,providing new insights into prognostic evaluation and immunotherapy target candidates for OS.

Objective:To study the differential gene expression and immune cell infiltration of gout patients,to find the key genes and immune cells of gout pathogenesis,and to explore the relationship between immune cells and gout.Methods:The gout chip GSE160170 was downloaded from the GEO database,and the differential gene expression analysis was carried out with the help of R language.Then,the STRING database was used to analyze the differential gene,and the Cytoscape software was used to screen the key genes,and then carry out enrichment analysis.At the same time,the infiltration of immune cells were analyzed.Results:The study found that IL-6,IL-1β,TNF,CCL3,CXCL8 and CXCL1 were key genes in the pathogenesis of gout,which were mainly exerted by IL-17,Toll-like receptor,NOD-like receptor,NF-κB and other signaling pathways.Processes such as cellular responses to lipo-polysaccharides,bacteria-derived molecules,and biological stimuli lead to disease;immune infiltration results indicate that memory B cells,activated NK cells,activated dendritic cells,activated mast cells and eosinophils were involved in the disease.It was signifi-cantly expressed in gout patients;the correlation analysis between immune cells showed that the expression of follicular helper T cells were positively correlated with the expression of activated mast cells,and the expression of unactivated NK cells and monocyte were negatively correlated.Conclusion:Key genes and differentially expressed immune cells are closely related to the pathogenesis of gout,providing new ideas for the study of the molecular mechanism of gout.

Objective:To study the common pathogenesis of gout and rheumatoid arthritis(RA)by bioinformatics analysis.Methods:Microarray expression profiles of peripheral blood mononuclear cells in gout and RA were obtained from the GEO public da-tabase.R language and other tools were used to re-annotates the chip,and then the differential genes(DEGs)of the two were screened and the intersection was taken.The protein-protein interaction(PPI)network and topology analysis of common differential genes(CO-DEGs)were constructed by STRING database and Cytoscape software(including CytoNCA plug-in).The HubGene was screened and validated by ROC curve.Finally,the DAVID online analysis tool was used to perform GO and KEGG functional enrichment analysis of HubGene.Results:There were 9 HubGene screened,they were TNF,RGS1,CD69,IL7R,DDX3X,SOCS3,IFIT1,IFIT3,CCL3.GO enrichment showed that HubGene was mainly involves the regulation of virus,STAT receptor signaling pathway and positive regu-lation of neuroinflammatory response.KEGG enrichment showed that HubGene was mainly involved in Toll like receptor signaling pathway,TNF signaling pathway,JAK-STAT signaling pathway,adipocytokine signaling pathway,RIG-Ⅰ-like receptor signaling pathway and osteoclast differentiation.Conclusion:Using bioinformatics analysis,nine HubGene and related signaling pathways in-volved in the pathogenesis of gout and RA have been identified,which may serve as novel biomarkers and potential targets.

Objective:To explore the molecular mechanism of Danggui Niantong Decoction in the treatment of gouty arthritis (GA) based on network pharmacology and molecular docking.Methods:By selecting for the active components and targets of Danggui Niantong Decoction with TCMSP, and retrieving the GeneCards, OMIM, PharmGKB and DrugBank databases to obtain GA related targets. The potential targets of Danggui Niantong Decoction in the treatment of GA were obtained by the intersection of mappings. The regulation network of Chinese medicine compound and protein-protein interaction network of Danggui Niantong Decoction were constructed by Cytoscape software, and the targets of Danggui Niantong Decoction in the treatment of GA were analyzed by GO and KEGG enrichment by David Database. Finally, molecular docking was performed by using Autodock software.Results:There are 198 active components that could treat GA in Danggui Niantong Decoction. The key active components are Quercetin and Kaempferol. There are 46 key targets, the core targets are NFE2L2, HMOX1, PPARA, PTGS2, IL1β, CXCL8. GO enrichment suggests that the key genes are primarily involved in many biological processes such as Inflammatory response regulation, response to oxidative stress, Fatty acid metabolism process, steroid metabolism, lipopolysaccharide response and reactive oxygen species metabolism. KEGG pathway indicates that Danggui Niantong Decoction mainly acted on IL-17 signal pathway, HIF-1 signal pathway, TNF signal pathway and AGE-RAGE signal pathway. Molecular docking shows that the active components of Danggui Niantong Decoction and action target of GA can combine toghether with high efficiency, and the structure is stable.Conclusion:Danggui Niantong Decoction has multi-component, multi pathway and multi-protein characteristics. Danggui Niantong Decoction can treat GA by regulating immune inflammatory reaction and oxidative stress reaction.