Table 3 Parameters describing the plotted ROC curves, along with statistical significance and the cutoff point determined by Youden’s method.

From: Evaluating the predictive efficacy of first trimester biochemical markers (PAPP-A, fβ-hCG) in forecasting preterm delivery incidences

Predictor

AUC

AUC low CI 95%

AUC high CI 95%

p

Cut-off point

 < 35

 PAPP-A MoM

0.626

0.534

0.718

0.0071

1.18

 < 37

 fbHCG

0.595

0.553

0.658

0.0057

41.16

 bHCG MoM

0.575

0.511

0.639

0.0225

1.32

 PAPP-A

0.638

0.579

0.696

0.0000

3.39

 PAPP-A MoM

0.0643

0.581

0.706

0.0000

0.71

 pPROM

 fbHCG

0.627

0.557

0.697

0.0004

40.06

 bHCG MoM

0.598

0.526

0.67

0.0077

1.3

 PAPP-A

0.601

0.526

0.675

0.0085

3.96

 PAPP-A MoM

0.624

0.546

0.702

0.0019

0.67

Spontaneus preterm labour

  < 37 weeks of gestation

    

  fbHCG

0.615

0.542

0.688

0.0021

26.65

  bHCG MoM

0.584

0.508

0.659

0.0296

1.302

  PAPP-A

0.601

0.526

0.676

0.0080

3.38

  PAPP-A MoM

0.616

0.534

0.698

0.0056

0.688

  < 35 weeks of gestation

    

  fbHCG

0.401

0.273

0.528

0.1275

40.93

  1. CI—confluence index, AUC—area under curve.
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