Table 2 Binary logistic regression of ANOVA selected metabolites and existing markers at day 56 in rat urine.

From: Changes in urinary metabolomic profile during relapsing renal vasculitis

Predictors

B

S.E.

Wald

df

Sig.

Exp (B)

Model Accuracy

HSA

MPO

All

p

Haematuria

1.771

0.963

3.381

1

0.066

5.875

75

100

90.5

<0.001

ACR

0.014

0.03

0.217

1

0.642

1.014

Haematuria

2.212

1.251

3.127

1

0.077

9.133

87.5

100

95.2

0.001

ACR

−0.004

0.063

0.005

1

0.946

0.996

DMG

2.029

18.514

0.012

1

0.913

7.604

TMAO

4.311

5.6

0.593

1

0.441

74.507

  1. A predictive model built with existing markers (top panel) is strongly predictive (90.5% accuracy p < 0.001) of HSA and MPO immunisation status. Adding metabolites (lower panel) raises prediction capacity by 5%.
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