Predictive analysis of postoperative death in patients with Stanford B acute aortic dissection by XGBoost model / 国际外科学杂志

Objective:To investigate the analysis of postoperative death in patients with Stanford B acute aortic dissection (AAD) by XGBoost model.Methods:A retrospective study was conducted on 226 patients with Stanford type B AAD diagnosed in Yunnan Wenshan People′s Hospital from February 2012 to June 2019, including 126 males and 100 females, with an average age of (61.24±4.25) years. According to the outcome of discharge, the patients were divided into survival group ( n=129) and death group ( n=97), in which those who automatically gave up treatment and left the hospital were regarded as the death group. If the patients were admitted to Yunnan Wenshan People′s Hospital for many times during the study period, only the clinical data diagnosed as Stanford B AAD for the first time were selected for the study. The clinical data and hematological indexes of the subjects were collected, and the XGBoost model was used to predict the rapid diagnosis of postoperative death in patients with Stanford B AAD, and compared with the traditional Logistic regression model. Results:In the XGBoost model, the influencing factors were ranked according to the degree of importance. The top 6 factors were hypertension, neutrophil-to-lymphocyte(NLR), C-reactive protein (CRP), white blood cell count(WBC), D-dimer and heart rate. Hypertension and NLR had the greatest influence on postoperative death in patients with Stanford B AAD. Using receiver operator charateristic curve to compare the prediction performance of the two models, it was found that the prediction efficiency of the XGBoost algorithm was significantly stronger than that of the Logistic regression model in the training set, while the two models were equivalent in the verification set. The prediction models constructed by the two methods eventually included independent variables such as hypertension, NLR, CRP, WBC, D-dimer, heart rate, systolic blood pressure, diastolic blood pressure, surgical treatment and so on.Conclusions:XGBoost model can be used to predict the postoperative death of patients with Stanford B AAD. Its diagnostic performance is better than Logistic regression model in training set and equivalent to the latter in verification set. Hypertension and NLR are the most important predictors of postoperative mortality in patients with Stanford B type AAD.

Mesenchymal stem cells and immune disorders: from basic science to clinical transition / 医学前沿

As a promising candidate seed cell type in regenerative medicine, mesenchymal stem cells (MSCs) have attracted considerable attention. The unique capacity of MSCs to exert a regulatory effect on immunity in an autologous/allergenic manner makes them an attractive therapeutic cell type for immune disorders. In this review, we discussed the current knowledge of and advances in MSCs, including its basic biological properties, i.e., multilineage differentiation, secretome, and immunomodulation. Specifically, on the basis of our previous work, we proposed three new concepts of MSCs, i.e., "subtotipotent stem cell" hypothesis, MSC system, and "Yin and Yang" balance of MSC regulation, which may bring new insights into our understanding of MSCs. Furthermore, we analyzed data from the Clinical Trials database ( http://clinicaltrials.gov ) on registered clinical trials using MSCs to treat a variety of immune diseases, such as graft-versus-host disease, systemic lupus erythematosus, and multiple sclerosis. In addition, we highlighted MSC clinical trials in China and discussed the challenges and future directions in the field of MSC clinical application.

Isolating culture of adipose mesenchymal stem cells in psoriasis vulgaris patients and differentiation into immune regulation function / 基础医学与临床

Objeetive To study the differences of the biological characteristics and immune regulation function of adipose mesenchymal stem cells (AMSCs)from psoriasis patients and healthy people.Methods AMSCs were isolated and cultured from human psoriatic and healthy adipose tissue,the phenotypes and cell cycle of AMSCs taken from three generation were detected by flow eytometry.Alkaline phosphate enzyme staining and oil red o staining were used respectively to identify their adipogenic and osteogenic capacity.Next,the levels of inflammation antimicrobial proinflammatory factor were detected by PCR and ELISA.Then gene expression profile of AMSCs were screen by gene expression profile chip,as so to bolting the the gene array related with immunology gene.Results There was no significant change in cell morphology,and cell surface markers were expressed high for CD29,CD44,CD73,while lower for CD31,CD45 and HLA-DR.AMSCs of psoriasis patients and healthy people both had the ability of adipogenic and osteogenic differentiation.But the cell cycle showed the third generation AMSCs proliferation rates were slower than that of normal control,as compared with healthy controls,adipogenic differentiation ability was stronger.What'more,the level of inflammatory cytokines in psoriasis group was lower than that in controls such asIL-10,IDO,TGF-β,on the contrary the levels of proinflammatory factor in psoriasis group were higher than that in controls,such as TNF-α,IFN-γ.In addition,gene chip results suggested that psoriasis group AMSCs had obvious expression differences on JAK-STAT pathway with healthy controls.Conclusions Compared with the control,there are significant differences in patients AMSCs proliferation and adipogenic differentiation ability,immune inflammation suppression control ability is weaken,this phenomenon may be associated with JAK-STAT immune pathways related to downgrade.