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%.