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Objective To collect the demographic,lifestyle and clinical factors of patients with cerebrovascular disease,and analyze the vascular cognitive impairment(VCI) factors and set up high-risk factors model.methods 505 patients with cerebrovascular disease hospitalization in department of geriatrics and neurology in hospital from October 2014 to October 2016 were enrolled.According to the questionaire survey data of demographics,lifestyle and clinical factors,the patients were divided into training set (421 cases) and test set (84 cases),and training set were divided into the non-VCI set (225 cases) and VCI set (196 cases).Analyzed the influence factors of VCI in patients with cerebrovascular disease by decision tree algorithm,and compared it with the Logistic regression analysis and chi-square and established the decision tree model for risk factors of VCI.Result sAccording to the VCI decision tree model,cross validation model recognition accuracy was 73.63%,while test set prediction accuracy was 73.81%.Alcoholism,hobbies,education level,tea drinking,diabetes,hypertension,diet,age,sleep and physical exercise were classification of node variables,while drinking was the root.The probability of VCI had significant difference (P<0.05) in the crowds with different risk factors.According to Result s of Logistic regression analysis,education level,drinking,exercise and diabetes were independent risk factors for VCI,while the model prediction accuracy was 66.98%,and test set prediction accuracy was 53.57%.According to the ROC curve of the decision tree model and the Logistic regression model,the decision tree model AUC was 0.737 (95%CI 0.688 to 0.786),and the Logistic regression model AUC was 0.664 (95%CI 0.612 to 0.717).Conclusion It is suggested that the decision tree model might be superior to logistic regression model in the prediction accuracy for VCI of patients with cerebrovascular disease.The alcoholism,diabetes,high blood pressure,high fat diet and insomnia are risk factors of VCI,while hobbies,high level of education,physical exercise and drinking tea can be the protective factors of the VCI.
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This paper is aimed to assess the effects of red blood cell (RBC) transfusion on clinical outcomes in cardiac surgery. Trials were identified by computer searches of the Pubmed, MEDLINE, Cochrane Library (Issue 10, 2012), from January 1980 to October 2012. References in identified trials and review articles were checked and experts contacted to identify any additional trials. The homogeneous randomized controlled trials (RCTs) were analyzed with RevMan 5.1 software. Five trials involving a total of 1,203 patients were identified. The results of meta-analyses showed that restrictive transfusion strategies reduced the risk of receiving a RBC transfusion (MD = - 1.46, 95% CI -1.18(-) -1.1) and the volume of RBCs transfusion (RR = 0.69, 95% CI 0.53-0.89). No significant difference was noted between the two strategies in terms of mortality, adverse events and hospital or intensive care length of stay. Based on the results mentioned above, one can draw a conclusion that restrictive transfusion strategies reduced the risk of receiving RBC transfusion and the volume of RBCs transfused. Restrictive transfusion strategies did not appear to impact on the rate of adverse events and hospital or intensive care length of stay, compared to liberal transfusion strategies.