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Table 7 ROC curve analysis for lipid parameters as predictors of MetS

From: Metabolic syndrome and its predictors in an urban population in Kenya: A cross sectional study

Gender Variable AUC (95% CI) YI Cut-off Sensitivity Specificity
Males & Females TG 0.816 (0.769–0.862) 0.517 1.27 0.726 0.791
HDL-C 0.721 (0.669–0.774) 0.318 1.1 0.756 0.562
mLDL-C 0.660 (0.605–0.714) 0.268 3.0 0.652 0.616
cLDL-C 0.578 (0.520–0.636) 0.146 3.2 0.459 0.687
TC 0.648 (0.592–0.704) 0.258 5.0 0.548 0.710
non HDL-C 0.706 (0.654–0.759) 0.342 3.4 0.785 0.557
CholRem 0.751 (0.701–0.801) 0.421 0.7 0.622 0.799
Males TG 0.887 (0.841–0.933) 0.645 1.68 0.734 0.911
HDL-C 0.722 (0.642–0.803) 0.395 0.9 0.594 0.801
mLDL-C 0.719 (0.650–0.789) 0.346 2.8 0.828 0.518
cLDL-C 0.613 (0.532–0.693) 0.190 2.8 0.703 0.487
TC 0.731 (0.660–0.802) 0.358 4.9 0.688 0.670
non HDL-C 0.778 (0.714–0.843) 0.456 3.5 0.891 0.565
CholRem 0.814 (0.748–0.879) 0.551 0.7 0.813 0.738
Females TG 0.770 (0.697–0.843) 0.471 1.25 0.620 0.851
HDL-C 0.752 (0.684–0.820) 0.412 1.1 0.704 0.708
mLDL-C 0.605 (0.525–0.685) 0.214 3.1 0.521 0.693
cLDL-C 0.547 (0.464–0.629) 0.123 3.5 0.296 0.827
TC 0.572 (0.490–0.654) 0.173 5.0 0.465 0.708
non HDL-C 0.645 (0.567–0.722) 0.264 3.4 0.690 0.574
CholRem 0.712 (0.642–0.782) 0.307 0.7 0.451 0.856
  1. Abbreviations AUC Area under the curve, CholRem Cholesterol remnants, cLDL-C calculated LDL cholesterol, CI Confidence intervals, mLDL-C measured LDL cholesterol, non HCL-C non HDL cholesterol, TC Total cholesterol, TG Triglycerides, YI Youden Index