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Table 4 Multivariable logistic regression models for EP vs. non-EP (N = 74)

From: Identification and verification of plasma protein biomarkers that accurately identify an ectopic pregnancy

Predictors

Coefficienta

Std. Error

z

P>|z|

95% Confidence Interval

Model 1: NOTUM + PAEP + PAPPA + PSG2

   

NOTUM

-1.62

0.865

-1.87

0.061

-3.316

0.076

PAEP

-1.573

0.535

-2.94

0.003

-2.622

-0.524

PAPPA

-0.03

0.197

-0.15

0.878

-0.417

0.356

PSG2

0.097

0.52

0.19

0.853

-0.923

1.117

Constant

13.282

4.562

2.91

0.004

4.341

22.223

Model 2: ISM2 + PAEP + PAPPA + PSG2

    

ISM2

-0.31

0.386

-0.8

0.422

-1.066

0.447

PAEP

-1.349

0.444

-3.04

0.002

-2.22

-0.478

PAPPA

-0.109

0.174

-0.63

0.531

-0.45

0.232

PSG2

-0.338

0.476

-0.71

0.477

-1.27

0.594

Constant

8.312

2.881

2.89

0.004

2.665

13.958

Model 3: ISM2 + PAEP + PAPPA + ADAM12

   

ISM2

-0.336

0.421

-0.8

0.424

-1.161

0.488

PAEP

-1.349

0.443

-3.05

0.002

-2.216

-0.482

PAPPA

-0.141

0.163

-0.86

0.387

-0.462

0.179

ADAM12

-0.236

0.503

-0.47

0.639

-1.223

0.75

Constant

8.43

2.944

2.86

0.004

2.66

14.2

Model 4: NOTUM + PAEP + PAPPA + ADAM12

   

NOTUM

-2.201

1.159

-1.9

0.058

-4.474

0.071

PAEP

-1.739

0.622

-2.8

0.005

-2.959

-0.52

PAPPA

-0.128

0.232

-0.55

0.58

-0.584

0.327

ADAM12

0.62

0.772

0.8

0.422

-0.892

2.133

Constant

14.289

5.071

2.82

0.005

4.351

24.227

  1. aCoefficients and constants are used to calculate risk scores for each individual patient