Optimal cutoff chemerin concentration and mFramingham score values in ROC curves with corresponding characteristics and associations with plaque.
| Characteristic | Cutoff Value | Sensitivity, % | Specificity, % | PPV, % | NPV, % | OR (95% CI)* | p* |
|---|---|---|---|---|---|---|---|
| Chemerin, pg/ml | 107.6 | 51.2 | 72.9 | 32.7 | 68.2 | 2.92 (1.18–7.25) | 0.02 |
| mFramingham | 2.5 | 65.9 | 71.2 | 39.3 | 75.1 | 4.88 (2.01–11.86) | < 0.0001 |
↵* Associations were identified in a logistic regression model in which both chemerin concentrations and mFramingham scores larger than the optimal cutoff values were entered as independent variables. The Youden index8 was calculated to determine the optimal cutoff values. The PPV and NPV were determined by applying Bayes theorem9. mFramingham: modified Framingham; ROC: receiver-operator characteristic; PPV: positive predictive value; NPV: negative predictive value.