Objective To observe the therapeutic effect of Guanxin Prescription No.1 (GP1)for coronary heart disease (CHD)and its influence on homocysteine (Hcy).Methods Sixty CHD patients were equally randomized into two groups.Both of the two groups received routine western medicine,and the treatment group additionally received GP1 (mainly composed of Radix Codonopsis,Radix Ophiopogonis,Fructus Schisandrae Chinensis,Rhizoma Polygonati Odorati,Rhizoma Chuanxiong,Rhizoma Anemarrhenae,Radix Salviae Miltiorrhizae,Radix Notoginseng,Radix Curcumae,etc).Four weeks constituted one treatment course.The total therapeutic effect and the effect on angina pectoris (AP)and electrocardiogram (ECG)were evaluated after treatment.Meanwhile,the changes of blood lipid levels,serum Hcy and internal-middle thickness (IMT)of carotid artery were observed.Results The total therapeutic effect and the effect on AP and ECG in the treatment group were superior to those in the control group (P0.05 compared with those before treatment).The decrease of serum Hcy level was obvious in the treatment group than that in the control group (P

Based on the requirements of the standardized training for the community nurses, this study constructs an informatization platform on the overall design, and improves the content modules of the platform. The standardized training mode of community nurses has been constructed through team building and division of labors. After application, the participation rate, assessment of theoretical knowledge and operational skills and professional identity of standardized training for community nurses have been improved. The standardized training platform for community nurses has optimized the teaching resources and improved the teaching effect, worthy of application and promotion.

Based on the requirements of the standardized training for the community nurses, this study constructs an informatization platform on the overall design, and improves the content modules of the platform. The standardized training mode of community nurses has been constructed through team building and division of labors. After application of the platform, the participation rate, assessment of theoretical knowledge and operational skills and professional identity of standardized training for community nurses have been improved. The standardized training platform for community nurses has optimized the teaching resources and improved the teaching effect, worthy of application and promotion.

Objective:To develop a model for predicting malignant probability of asymmetries signs of BI-RADS category 4 or 5 in mammography, and to evaluate its predictive performance.Methods:The clinical and imaging data of 187 patients with asymmetrical signs of BI-RADS 4 or 5 who underwent mammography in Xinhua Hospital Affiliated of Shanghai Jiao Tong University School of Medicine from January 2014 to September 2017 were analyzed retrospectively. According to the examination time, 187 patients were divided into training set (109 cases) and verification set (78 cases). The clinical and mammographic features of the patients were analyzed. The predictors were screened by univariate and multivariate logistic regression analysis. Then a predictive model was constructed based on the results with a nomogram drawn. Performances of predictive models were evaluated with area under the curve (AUC) of ROC,calibration curve,and decision curve analysis (DCA).Results:A total of 187 asymmetries signs including 72 malignant and 115 benign was collected. Six predictive factors were harvested to construct the predictive model, which included menstrual status, the number of visible standard view of asymmetries signs, whether asymmetries signs locating at the peripheral layer of tissue, whether asymmetries signs associating with suspicious calcification, skin thickening, or nipple retraction. The predictive model had good performance in both training set and verification set, with the AUC values of 0.85 and 0.84, respectively. The DCA curve showed that the nomogram had good clinical application values.Conclusion:The predictive model can predict malignancy probability of BI-RADS category 4 or 5 asymmetries, which can be used as a referable method for radiologist to evaluate mammographic asymmetries signs.