Table 2.
AUC (95% CI) | Cut pt. | Odds Ratio (95% CI) |
Sensitivity (95% CI) |
Specificity (95% CI) |
|
---|---|---|---|---|---|
miR-133b | 0.80 (0.73–0.88) |
14.0 | 9.83 (4.32–22.4) |
75.6% (64.6–84.7) |
76% (61.8–86.9) |
miR-21 | 0.79 (0.70–0.87) |
5.59 | 4.93 (2.25–10.8) |
69.4% (56.3–80.4) |
72.2% (58.4–82.5) |
ROC curve analysis of miR-133b and miR-21 showed strong discrimination between CAD and control subjects. MiR-133b showed AUC value—0.80 (0.73 to 0.88 at 95% CI) with 75.6% sensitivity and 76% specificity at the recommended cut-off point of 14.0. MiR-21 showed AUC value—0.79 (0.79 to 0.87 at 95% CI) with 69.4% sensitivity and 72.2% specificity. Cut pt.: optimal cut-point is determined by largest sum of specificity and sensitivity values.