Statistical Analysis
The data were analyzed using the Statistical Package for Social Sciences (SPSS Inc.) v22.0 and GraphPad Prism Software 8 was used for graphics. Demographic and clinical features were assessed by descriptive analysis and shown as percentages and mean ± standard deviation or median according to distribution of the data. Continuous variables were compared by independent t test or Mann Whitney-U test between two groups and Kruskal Wallis or One Way Anova test with Bonferroni correction between multiple groups depending on the distribution of the data. The categorical variables were compared with X2 test. Correlation analysis were performed by Pearson’ or Spearman’s correlation tests according to the distribution of the data. Cut off values of FMD and biological markers were determined by receiver operator characteristic curve (ROC) analysis. Binominal Exact Test was used to compare Area Under Curve (AUC) of biological markers and FMD. In all analysis, p value less then <0.05 was considered statistically significant.