Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

Objective To observe the clinical efficacy of self-formulated Shenqi Buwei Decoction(derived from Huangqi Renshen Decoction)in treating patients with stable chronic obstructive pulmonary disease(COPD)differentiated as lung-spleen qi deficiency syndrome.Methods A total of 110 patients with stable COPD differentiated as lung-spleen qi deficiency syndrome were randomly divided into a control group and an observation group,with 55 patients in each group.The control group was given Tiotropium Bromide Inhalation Powder for the inhalation treatment,and the observation group was given Shenqi Buwei Decoction on the basis of treatment for the control group,and the course of treatment covered 3 months.The changes of pulmonary function indicators of forced expiratory volume in one second(FEV1),forced vital capacity(FVC),and one-second rate of FEV1/FVC,modified Medical Research Council index(mMRC)dyspnea scores,6-minute walk test(6MWT),COPD Assessment Test(CAT)scores,and traditional Chinese medicine(TCM)syndrome scores in the two groups were observed before and after treatment.After treatment,the clinical efficacy and safety of the two groups were evaluated.Results(1)During the trial,one patient was excluded and two patients fell off from the observation group,and three patients fell off from the control group.Eventually,52 patients in each of the two groups were included in the efficacy statistics.(2)After 3 months of treatment,the total effective rate of the observation group was 80.77%(42/52)and that of the control group was 67.31%(35/52).The intergroup comparison(tested by chi-square test)showed that the therapeutic effect of the observation group was slightly superior to that of the control group,but the difference was not statistically significant(P＞0.05).(3)In terms of indexes,After treatment,the levels of pulmonary function indicators of FEV1,FEV1/FVC in the control group and FEV1,FVC,FEV1/FVC in the observation group were significantly improved compared with those before treatment(P＜0.05),and the improvement of FEV1,FVC,FEV1/FVC in the observation group was significantly superior to that in the control group(P＜0.05).(4)After treatment,the 6MWT,mMRC and CAT scores of the two groups were significantly improved compared with those before treatment(P＜0.05),and the improvement in the observation group was significantly superior to that in the control group(P＜0.05).(5)After treatment,the TCM syndrome scores of the two groups of patients were significantly decreased in comparison with those before treatment(P＜0.05),and the decrease in the observation group was significantly superior to that in the control group(P＜0.05).(6)During the treatment process,no obvious adverse reactions occurred in the two groups of patients,there were no abnormal changes in the safety indicators,either.Conclusion On the basis of conventional western medicine treatment,the combined use of Shenqi Buwei Decoction exerts certain efficacy in the treatment of patients with stable COPD differentiated as lung-spleen qi deficiency syndrome.The combined therapy can effectively improve the ventilation function,relieve the clinical symptoms,improve the quality of life and delay the decline of lung function of the patients.

Anxiety/epidemiology* ; Depression/epidemiology* ; Humans ; Sleep ; Sleep Quality ; Students ; Surveys and Questionnaires ; Universities

Evidence and value：impact on DEcisionMaking （EVIDEM） framework was developed by EVIDEM collaboration. Its core is the combination of multiple criteria decision analysis （MCDA） model and standardized health technology assessment （HTA） report， which aims to evaluate the overall value of medical interventions. It has been tested and implemented in the real-world evaluation environments. After more than 10 years of development， EVIDEM framework has been updated to version 10， and the relevant operation manuals have been published. More than 40 countries have joined the collaboration and more than 20 countries have carried out relevant studies. The framework is constructed with patients， population and sustainability as the overall goals， combing the evidence and value， forming a relatively complete decision-making framework system composed of 2 levels， 7 dimensions and 20 criteria. The two levels include normative universal criteria and contextual criteria. The normative universal criteria， namely EVIDEM core model， is the quantitative evaluation， consisting of 5 dimensions and 13 criteria. Contextual criteria， namely contextual tools， are qualitative evaluation， consisting of 2 dimensions and 7 criteria. The specific operation steps of EVIDEM framework include selecting and constructing criteria， assigning weights， integrating and evaluating evidence， quantitative and qualitative evaluation of value， comprehensive value estimation and ranking based on value estimation. EVIDEM framework is applicable to disease diagnosis， treatment， management and other fields. Its application scope includes medical insurance reimbursement， clinical practice decision-making， drug selection and so on， which can provide a method for more systematic， transparent and scientific healthcare decision-making. At present， the framework has been introduced into the field of traditional Chinese medicine and can provide a scientific and feasible evaluation tool and methodology system for the clinical comprehensive evaluation of Chinese patent medicine.

Objective:To observe the effect of Qiyu Sanlong decoction （QYSL） on the expressions of key molecules in signal axis of mammalian rapamycin target protein （mTOR）/yeast Atg6 homologous （Beclin1）/ microtubule-associated protein1 light chain3 （LC3） in A549 cells. Method:With A549 cells as the research object， the effect of QYSL medicated serum on cell viability of A549 cells were detected by cell counting kit-8 （CCK-8） method. The effect of QYSL decoction on A549 cell apoptosis， autophagosome formation and the expression of autophagy markers were detected by Terminal-deoxynucleoitidyl transferase mediated nick end labeling （TUNEL） method， transmission electron microscope （TEM）， Real-time polymerase chain reaction （Real-time PCR） and Western blot. Result:QYSL medicated serum could inhibit the viability of A549 cells in a concentration-dependent manner. Compared with the blank serum group， the number of apoptotic A549 cells in the QYSL medicated serum group was significantly increased （P<0.01）， and the formation of autophagosome was significantly increased. Compared with the blank serum group， the mRNA and protein expressions of mTOR in A549 cells in the QYSL serum group were significantly decreased （P<0.01）， while mRNA and protein expressions of Beclin-1， autophagy related genes 5 （ATG5）， autophagy related genes 13 （ATG13） were significantly increased （P<0.01）. Conclusion:QYSL decoction can induce autophagy in A549 cells， and its specific mechanism may be related to the down-regulation of mTOR expression， the up-regulation of Beclin1， ATG5， ATG13 and LC3 expression， and the promotion of LC3Ⅰ conversion to LC3Ⅱ.