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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