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. 2013 Aug 5;35(3):173–180. doi: 10.1155/2013/306908

Table 3.

The results of ROC analysis for discriminating impaired from non-impaired FMD.

AUC (95% CI) Std. error Sensitivity % Specificity % AUC (95% CI)b P
SDMA 0.689 (0.549–0.829) 0.071 81.8 58.3 0.686 (0.540–0.820) 0.007
hs-CRP 0.754 (0.602–0.905) 0.054 73.3 75.8 0.735 (0.628–0.840) <0.001
IL-6 0.699 (0.597–0.802) 0.052 72.3 52.6 0.690 (0.579–0.789) 0.002
SAA 0.605 (0.486–0.725) 0.061 76.7 51.4 0.093
O2∙− 0.593 (0.467–0.719) 0.064 69.2 34.5 0.174
Model: hs-CRP and SDMA 0.730 (0.582–0.878) 0.076 0.728 (0.592–0.855) 0.005
Model: hs-CRP and O2∙− 0.671 (0.531–0.812) 0.072 0.639 (0.517–0.771) 0.025
Model: hs-CRP, SDMA, and O2∙− 0.756 (0.623–0.888) 0.068 0.741 (0.616–0.859) 0.004
Model: IL-6 and SDMA 0.732 (0.614–0.851) 0.061 0.704 (0.593–0.813) 0.001
Model: IL-6 and O2∙− 0.628 (0.507–0.749) 0.062 0.070
Model: IL-6, SDMA, and O2∙− 0.724 (0.570–0.878) 0.079 0.715 (0.566–0.846) 0.003
Model: SDMA and O2∙− 0.737 (0.598–0.876) 0.071 0.655 (0.533–0.778) 0.002

Data in parentheses are 95% confidence intervals (95% CIs). Sensitivity and specificity were calculated for optimal cutoff value. bThe AUC and 95% confidence intervals of the 1000 bootstrap samples.