Several genetic polymorphisms of the aldosterone synthase gene(CYP11B2),which may influence the plasma aldosterone levels,had been reported to influence the blood glucose levels.In addition to the effects of sodium()(and consequently water) resorption and potassium excretion(),aldosterone could be involved in the development and progression of diabetes and its chronic complications.This paper also discussed the therapeutic significance of aldosterone receptor antagonists on the occcurance of chronic diabetic complications.

OBJECTIVE: To investigate the potential risk factors and management of excessive epistaxis after endoscopic endonasal surgery (EES). METHOD: Six hundred and forty-one patients who underwent EES in our hospital from December 2011 to December 2012 were reviewed retrospectively. Factors which potentially affect the incidence of excessive epistaxis after EES were analyzed with univariate and multivariate logistic regression model. RESULT: The incidence rate of excessive epistaxis after EES was 8.4% in our study. Multivariate logistic regression analysis revealed that history of previous EES, along with other four factors, correlated significantly with the occurrence of excessive epistaxis after EES. CONCLUSIONS Previous EES, along with other three factors, may increase the chance of excessive epistaxis after EES, while pre-operative corticosteroid therapy may reduce the risk to some extent.
Adolescent ; Adult ; Aged ; Child ; Endoscopy ; adverse effects ; Epistaxis ; etiology ; Female ; Humans ; Logistic Models ; Male ; Middle Aged ; Multivariate Analysis ; Nasal Surgical Procedures ; adverse effects ; Nose ; surgery ; Postoperative Complications ; etiology ; Retrospective Studies ; Risk Factors ; Young Adult

Objective : To construct a cell-free DNA ( cfDNA) methylation model for early screening in male pa- tients with gastric cancer by using novel cfDNA methylation detection technology． Methods : Methylation informa- tion of the whole genome of gastric cancer patients were detected by cell-free methylated DNA immunoprecipitation and highthroughput sequencing ( cfMeDIP-seq ) technology and locate gastrogenic cfDNA． Then bioinformation methods were used to extract specific methylation labels which could distinguish GC patients and establish diagnosis model by random forest algorithm. Related validation clinical researches were also conducted. Results : 63 most sig- nificant DMR were selected to construct the cfDNA methylation model based on GC samples and normal control samples，the goal sensitivity was above 85 percent while the goal specificity was above 95% ．The sensitivity and specificity of the validation set were 98. 7% and 99. 0% while the area under curve(AUC) was 0. 999． Conclusion The cfDNA methylation model constructed in this study has good performance in predicting GC.