Objective: To investigate the combined examination of plasma levels of troponin T (TnT) and N-terminal pro-brain natriuretic peptide (NT-proBNP) for predicting the risk of peri-operative cardiovascular events in elder coronary artery disease (CAD) patients with non-cardiac surgery. Methods: A total of 200 patients from (60-82) years of age with elective non-cardiac surgery were enrolled. The patients were divided into 2 groups: CAD group,n=118 and Non-CAD group,n=82. Plasma levels of TnT and NT-proBNP were examined at 1 day before and 2 days after the operation respectively. The cardiovascular events were recorded in both groups and the best cut-off values for TnT and NT-proBNP in risk prediction were evaluated by receiver operating characteristic (ROC) analysis. Results:①CAD group had the higher levels of post-operative TnT and NT-proBNP than pre-operative; both TnT and NT-proBNP levels were higher in CAD group than those in Non-CAD group at the same time points, allP<0.05.②The total cardiovascular events in CAD group was higher than those in non-CAD group (χ2=5.85,P=0.016) and the individual event was similar between 2 groups.③In CAD group, the best cut-off value for pre-operative TnT in predicting peri-operative cardiovascular events was 18.5 ng/L with the sensitivity at 72% and speciifcity at 69.6%; for NT-proBNP was 98.0 pg/ml with the sensitivity at 90.8% and speciifcity at 74.6%.④The patients with the higher level of pre-operative TnT had the increased risk of total cardiovascular events than those with normal TnT (χ2=4.56,P=0.043), and the same as NT-proBNP (χ2=4.08, P=0.036). Likewise, the patients with higher levels of both pre-operative TnT and NT-proBNP had the increased risk of total cardiovascular events than those with normal TnT and NT-proBNP (χ2=13.32,P=0.000). Conclusion:Either plasma levels of TnT or NT-proBNP could be used as the biomarker for predicting the risk of peri-operative cardiovascular events in elder CAD patients with non-cardiac surgery, the combined examination would have the better predictive value.

Objective To explore the application effect of the adult education theory in the nursing round. Methods 340 trainee nurses, who were trained at our surgical department between June 2008 and December 2009, were randomly divided into the experimental group(178 cases)and the control group(162cases). The adult education theory was adopted in the experimental group, whereas the traditional education method was used in the control group, a questionnaire was carried out after the nursing visit. Results The experimental group was more satisfied with the round visit than the control group. Conclusions The application of the adult education theory in the round visit is beneficial not only to the students' selection of the topics of nursing visit, but also to the improvement of the students' understanding and communicating capacity, the students' studying interests and the students' creative thinking, finally the degree of satisfaction to the round visit is increased by the adoption of this theory.

Spinal anesthesia with advantages of easy operation, fast effect and small maternal and neonatal effects has always been the preferred anes?thetic technique for cesarean section in China. However, maternal hypotension induced by spinal anesthesia remain a large challenge for anaesthetist. Perioperative fluid management plays important roles in maintaining maternal and fetal hemodynamics. This review mainly analyzes pathophysiological mechanism of maternal hypotension induced by spinal anesthesia,introduces different fluid?management strategy and functions on prevention of maternal hypotension.

Objective To investigate the level of readiness for hospital discharge in elderly patients with chronic obstructive pulmonary disease (COPD) and its correlation with patients'self-efficacy. Methods A questionnaire survey was administered to 240 elderly COPD patients admitted to the people's hospital of Wuhan University in Hubei Province from November 2017 to March 2018, using the Readiness for Hospital Discharge Scale and the Self-Efficacy for Managing Chronic Disease 6-Item Scale. Pearson correlations were used for analysis. Results Total scores for hospital discharge readiness were (6.13±0.89) and for self-efficacy were (3.42±1.46) in elderly COPD patients. Pearson correlation analyses indicated that there were significant positive correlations between the total scores and all dimensions of readiness for hospital discharge and self-efficacy in elderly patients with COPD (r=0.256-0.651, P<0.01). Conclusion The readiness for hospital discharge in elderly patients with COPD is still at a medium level, and the level of self-efficacy is low. Readiness for hospital discharge and self-efficacy are positively correlated in elderly patients with COPD. Health care workers should pay active attention to the readiness for hospital discharge in elderly patients with COPD so as to help them improve their self-efficacy, and promote disease recovery.

Objective: To develop a model incorporating radiomic features and clinical factors to accurately predict acute ischemic stroke (AIS) outcomes. Materials and Methods: Data from 522 AIS patients (382 male [73.2%]; mean age ± standard deviation, 58.9 ± 11.5 years) were randomly divided into the training (n = 311) and validation cohorts (n = 211). According to the modified Rankin Scale (mRS) at 6 months after hospital discharge, prognosis was dichotomized into good (mRS ≤ 2) and poor (mRS > 2); 1310 radiomics features were extracted from diffusion-weighted imaging and apparent diffusion coefficient maps. The minimum redundancy maximum relevance algorithm and the least absolute shrinkage and selection operator logistic regression method were implemented to select the features and establish a radiomics model. Univariable and multivariable logistic regression analyses were performed to identify the clinical factors and construct a clinical model. Ultimately, a multivariable logistic regression analysis incorporating independent clinical factors and radiomics score was implemented to establish the final combined prediction model using a backward step-down selection procedure, and a clinical-radiomics nomogram was developed. The models were evaluated using calibration, receiver operating characteristic (ROC), and decision curve analyses. Results: Age, sex, stroke history, diabetes, baseline mRS, baseline National Institutes of Health Stroke Scale score, and radiomics score were independent predictors of AIS outcomes. The area under the ROC curve of the clinical-radiomics model was 0.868 (95% confidence interval, 0.825–0.910) in the training cohort and 0.890 (0.844–0.936) in the validation cohort, which was significantly larger than that of the clinical or radiomics models. The clinical radiomics nomogram was well calibrated (p > 0.05). The decision curve analysis indicated its clinical usefulness. Conclusion The clinical-radiomics model outperformed individual clinical or radiomics models and achieved satisfactory performance in predicting AIS outcomes.