Table 2

Sensitivity, Specificity, PPV, NPV, and AUC Data of NCEP and NHANES Classifications for Adolescent Borderline- and High-Risk Lipoprotein Variable Cut Points to Predict High Carotid IMT in Adulthood

Dyslipidemia Status in Adolescence
Borderline RiskHigh Risk
Lipoprotein VariableClassificationSensitivitySpecificityPPVNPVSensitivitySpecificityPPVNPVAUC*p Value
Normal weight
 LDL cholesterolNCEP64.844.012.291.338.968.712.990.40.55
NHANES50.656.612.290.623.580.712.789.80.550.73
 HDL cholesterolNCEP53.743.910.388.83.198.822.789.50.49
NHANES52.547.010.689.24.995.411.489.40.490.69
Overweight/obese
 LDL cholesterolNCEP63.252.024.784.950.070.429.784.90.60
NHANES55.359.225.384.134.285.537.183.40.630.33
 HDL cholesterolNCEP92.130.524.694.015.890.328.681.30.62
NHANES89.530.524.192.226.383.828.682.20.620.88

Sensitivity = true positives/(true positives + false negatives) × 100. Specificity = true negatives/(true negatives + false positives) × 100. PPV = true positives/(true positives + false positives) × 100. NPV = true negatives/(true negatives + false negatives) × 100.

AUC = area under the receiver-operator characteristic curve; NCEP = National Cholesterol Education Program; NHANES = National Health and Nutrition Examination Survey; NPV = negative predictive value; PPV = positive predictive value; other abbreviations as in Table 1.

  • * Normal-, borderline-, and high-risk included in AUC analyses as 3 groups.

  • Test for difference between AUCs.

  • McNemar test for difference between sensitivities and specificities.