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. 2018 Feb 15;9(2):e133. doi: 10.1038/ctg.2018.1

Table 6. Logistic regression analyses for autoantibodies in patients with Crohn’s disease.

  Coefficient Std.Error Odds ratio 95% CI P Value
B3
 IgG aGP2 0.005 0.002 1.005 1.002, 1.009 0.0044
 Gender 0.978 0.430 2.660 1.144, 6.184 0.0230
           
Severe disease
 IgG aGP2 0.011 0.003 1.012 1.005, 1.018 0.0002
 IgG ASCA −0.035 0.020 0.965 0.928, 1.005 0.0822
 Age 0.053 0.022 1.055 1.011, 1.100 0.0134
 Duration −0.126 0.061 0.881 0.781, 0.994 0.0397
           
Steroids response
 IgG ASCA 0.015 0.008 1.016 1.001, 1.031 0.0426
 5-ASA 1.168 0.364 3.215 1.574, 6.566 0.0013
 B2 −0.592 0.355 0.553 0.276, 1.109 0.0953
 Duration −0.088 0.034 0.915 0.857, 0.978 0.0083
           
Dermatologic
 IgA ASCA 0.008 0.004 1.008 1.000, 1.016 0.0461
 Anti-TNF −1.307 0.517 0.271 0.098, 0.746 0.0116

B represents disease behavior (B2, stricturing; B3, penetrating; p, perianal disease modifier) based on the Montreal Classification. 5-ASA, therapy with 5-aminosalicylic acid; aGP2, anti-zymogen granule glycoprotein 2 antibodies; ASCA, anti-Saccharomyces cerevisiae antibody; Anti-TNF, therapy with anti-TNF; Duration, disease duration; L,location of disease (L1, ileal); age, age at diagnosis;

Significant relationships between one dichotomous dependent variable (various clinical outcomes or treatment variants) and one or more independent variables including aGP2 and ASCA, gender, age, disease duration, surgery are shown (P<0.003 respectively). (only significant correlations are shown).