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. 2022 Jun 6;56(4):675–693. doi: 10.1111/apt.17063

TABLE 3.

The discriminative ability of serological biomarkers with regard to disease behaviour subtypes in patients with Crohn's disease

Biomarker Unadjusted Adjusted (full model) a Adjusted (residual marker value) b
Non‐penetrating, non‐stricturing CD (Montreal B1) versus stricturing CD (Montreal B2)
AUC (95% CI) Nominal p‐value AUC (95% CI) p‐value AUC (95% CI) p‐value
C1M 0.69 (0.56–0.83) 0.009 0.91 (0.84–0.98) <0.001 0.78 (0.67–0.89) <0.001
C3M 0.66 (0.53–0.80) 0.028 0.92 (0.84–0.99) <0.001 0.91 (0.83–0.98) <0.001
PRO‐C3 0.52 (0.38–0.67) 0.760
C3M/PRO‐C3 0.61 (0.47–0.75) 0.126
C4M 0.68 (0.55–0.82) 0.013 0.92 (0.85–0.99) <0.001 0.87 (0.79–0.96) <0.001
PRO‐C4 0.57 (0.42–0.71) 0.359
PRO‐C4/C4M 0.71 (0.57–0.84) 0.005 0.92 (0.85–0.99) <0.001 0.90 (0.82–0.98) <0.001
C4G 0.50 (0.36–0.65) 0.962
C6Ma3 0.59 (0.44–0.73) 0.234
Biomarker Unadjusted Adjusted (full model) b Adjusted (residual marker value) b
Non‐penetrating, non‐stricturing CD (Montreal B1) versus penetrating CD (Montreal B3)
AUC (95% CI) Nominal p‐value AUC (95% CI) p‐value AUC (95% CI) p‐value
C1M 0.51 (0.38–0.64) 0.877
C3M 0.52 (0.39–0.65) 0.775
PRO‐C3 0.58 (0.45–0.71) 0.232
C3M/PRO‐C3 0.58 (0.45–0.71) 0.236
C4M 0.52 (0.39–0.65) 0.791
PRO‐C4 0.56 (0.42–0.69) 0.414
PRO‐C4/C4M 0.64 (0.51–0.76) 0.043 0.87 (0.79–0.96) <0.001 0.87 (0.79–0.96) <0.001
C4G 0.55 (0.42–0.69) 0.433
C6Ma3 0.51 (0.37–0.64) 0.935
Biomarker Unadjusted Adjusted (full model) d Adjusted (residual marker value) b
Stricturing CD (Montreal B2) versus penetrating CD (Montreal B3)
AUC (95% CI) Nominal p‐value AUC (95% CI) p‐value AUC (95% CI) p‐value
C1M 0.70 (0.56–0.83) 0.008 0.81 (0.70–0.92) <0.001 0.81 (0.70–0.92) <0.001
C3M 0.65 (0.51–0.78) 0.048 0.80 (0.68–0.91) <0.001 0.80 (0.68–0.91) <0.001
PRO‐C3 0.58 (0.43–0.72) 0.289
C3M/PRO‐C3 0.54 (0.39–0.68) 0.610
C4M 0.67 (0.53–0.80) 0.023 0.81 (0.70–0.92) <0.001 0.81 (0.70–0.92) <0.001
PRO‐C4 0.61 (0.47–0.75) 0.137
PRO‐C4/C4M 0.59 (0.44–0.73) 0.251
C4G 0.56 (0.42–0.70) 0.411
C6Ma3 0.59 (0.45–0.74) 0.204
a

Adjusted for history of ileocecal resection, concurrent use of immunosuppressives and platelet counts (derived from multivariable backwards logistic regression analysis containing these confounding factors).

b

Adjusted for unstandardized residual value of the biomarker (derived from linear regression analysis, adjusted for the same confounders) to the determine the prognostic value of the biomarker only.

c

Adjusted for perianal disease and history of ileocaecal resection.

d

Adjusted for perianal disease.