Schisantherin B Improves the Pathological Manifestations of Mice Caused by Behavior Desperation in Different Ages-Depression with Cognitive Impairment

Depression is a major mood disorder. Abnormal expression of glial glutamate transporter-1 (GLT-1) is associated with depression. Schisantherin B (STB) is one bioactive of lignans isolated from Schisandra chinensis (Turcz.) Baill which has been commonly used as a traditional herbal medicine for thousands of years. This paper was designed to investigate the effects of STB on depressive mice induced by forced swimming test (FST). Additionally, we also assessed the impairment of FST on cognitive function in mice with different ages. FST and open field test (OFT) were used for assessing depressive symptoms, and Y-maze was used for evaluating cognition processes. Our study showed that STB acting as an antidepressant, which increased GLT-1 levels by promoting PI3K/AKT/mTOR pathway. Although the damage is reversible, short-term learning and memory impairment caused by FST test is more serious in the aged mice, and STB also exerts cognition improvement ability in the meanwhile. Our findings suggested that STB might be a promising therapeutic agent of depression by regulating the GLT-1 restoration as well as activating PI3K/AKT/mTOR pathway.

Establishment and analysis of predictive models of postoperative complications in elderly patients undergoing hip arthroplasty / 中国实用护理杂志

Objective To establish a preoperative evaluation model and evaluate the accuracy of postoperative complications by analyzing the risk factors of postoperative complications in hip arthroplasty in elderly patients, and to provide a basis for grading nursing. Methods From January 2012 to August 2018, 148 patients with elderly patients undergoing hip arthroplasty admitted to People′s hospital of Wanning were included in the study. Among them, 23 patients with postoperative complications were included as complications and 125 patients without complications served as a control group. Univariate analysis of the factors associated with complications, statistically significant indicators were included in the multivariate logistic regression model, and the risk factors for postoperative complications in hip arthroplasty were analyzed. Based on the results of the regression analysis, a preoperative evaluation model was established. The ROC curve and the Hosmer_Lemeshow test were used to evaluate the model prediction performance. Results Multivariate analysis showed age ( OR=1.239, 95% CI : 1.002-1.531, P=0.048), Glu ( OR=2.961, 95% CI : 1.055-8.311, P=0.039), surgical size ( OR=4.997, 95% CI : 1.269-19.686, P=0.021) were risk factors for postoperative complications, Albumin ( OR=0.696, 95% CI : 0.535-0.904, P=0.007) was a protective factor for postoperative complications (P<0.05). The ROC curve showed a nomogram model predicting the area under the complication curve (AUC) of 0.988 (95% CI :0.975-1.000), with a specificity of 96.77% and a sensitivity of 99.82%. Conclusion A nomogram model based on age, Glu, albumin, surgery size to predict the risk of complications after hip arthroplasty in elderly patients has a good specificity and sensitivity, high clinical value.

Establishment and analysis of predictive models of postoperative complications in elderly patients undergoing hip arthroplasty / 中国实用护理杂志

Objective@#To establish a preoperative evaluation model and evaluate the accuracy of postoperative complications by analyzing the risk factors of postoperative complications in hip arthroplasty in elderly patients, and to provide a basis for grading nursing.@*Methods@#From January 2012 to August 2018, 148 patients with elderly patients undergoing hip arthroplasty admitted to People′s hospital of Wanning were included in the study. Among them, 23 patients with postoperative complications were included as complications and 125 patients without complications served as a control group. Univariate analysis of the factors associated with complications, statistically significant indicators were included in the multivariate logistic regression model, and the risk factors for postoperative complications in hip arthroplasty were analyzed. Based on the results of the regression analysis, a preoperative evaluation model was established. The ROC curve and the Hosmer-Lemeshow test were used to evaluate the model prediction performance.@*Results@#Multivariate analysis showed age (OR=1.239, 95%CI: 1.002-1.531, P=0.048), Glu (OR=2.961, 95%CI: 1.055-8.311, P=0.039), surgical size (OR=4.997, 95%CI: 1.269-19.686, P=0.021) were risk factors for postoperative complications, Albumin (OR=0.696, 95%CI: 0.535-0.904, P=0.007) was a protective factor for postoperative complications (P<0.05). The ROC curve showed a nomogram model predicting the area under the complication curve (AUC) of 0.988 (95%CI:0.975-1.000), with a specificity of 96.77% and a sensitivity of 99.82%.@*Conclusion@#A nomogram model based on age, Glu, albumin, surgery size to predict the risk of complications after hip arthroplasty in elderly patients has a good specificity and sensitivity, high clinical value.