Spss statistics version 22.0 software package

The data are presented as mean±standard deviation or as median (interquartile range) percentile. The independent t test was used to describe the baseline differences between the two treatment groups; the paired t test was used to compare clinical parameters before and after treatment. In all statistical analyses, the statistical significance level was set at P<0.05. Logistic regression analysis was performed to identify determinants of HOMA-IR at baseline and after treatment. To determine the significant different variables, we put those which were considered as predictors in previous studies or those having P value(s) lower than 0.1 in the univariate logistic regression analysis, into multivariate logistic regression analysis. The SPSS Statistics version 22.0 software package (IBM Corp., Armonk, NY, USA) was used for all analyses. To evaluate the effects of aldosterone in individual patients and predict the outcomes, a generalized additive model (with spline), incorporating the subject-specific (longitudinal) random effects, was plotted after adjusting for other clinical parameters, including age, sex, serum potassium, serum creatinine, and SBP. This approach permitted adjustments for possible nonlinear effects of continuous variables; the value at which the log odd equaled zero was considered the optimal cutoff point [12 (link)].