Table 3.
Multivariate analyses for development of B2 stricturing complications.
| Model 1 | Model 2 | Model 3 | ||||
|---|---|---|---|---|---|---|
| Baseline predictor | Estimate | p-value | Estimate | p-value | Estimate | p-value |
| 8.ECM transcriptome | 1.5 [1.14–1.96] | 0.0039 | 1.45 [1.1–1.91] | 0.0067 | 1.4 [1.1–1.86] | 0.0145 |
| CBir [>25] | - | - | 4.2 [1.44–14] | 0.0116 | 3.4 [1.12–11.6] | 0.0364 |
| I gG.ASCA [>40] | - | - | - | - | 4.32 [1.43–13] | 0.0093 |
| Model characteristics | ||||||
| AUC | 0.73 [0.59–0.87] | 0.79 [0.68–0.9] | 0.82 [0.70–0.94] | |||
| AIC | 112.4 | 107.5 | 102.8 | |||
| R2 | 0.03 | 0.06 | 0.12 | |||
| Sensitivity | 75% [48–93] | 81% [54–96] | 88% [62–98] | |||
| Specificity | 67% [61–74] | 75% [69–80] | 70% [63–76] | |||
| PPV | 15% [11–42] | 19% [15–56] | 18% [14–66] | |||
| NPV | 97% [92–98] | 98% [94–99] | 99% [95–99] | |||
| Model comparison | ||||||
| Model 2 vs model 1 | Model 3 vs model 1 | |||||
| Likelihood ratio test | - | - | LR = 6.92 | 0.0085 | LR = 13.5 | 0.0012 |
| Comparison of AUC | - | - | 0.26 | 0.0103 | ||
| Model 3 vs model 2 | ||||||
| Likelihood ratio test | LR = 6.62 | 0.01 | ||||
| Comparison of AUC | 0.43 | |||||
Baseline predictors are shown with odds ratios with 95% confidence intervals [CIs] in parentheses. Model characteristics were based on a predicted probability of 0.5. Models comparisons were completed with likelihood ratio test and DeLong’s test [to compare AUC between models].
AUC, area under the ROC curve; AIC, Akaike’s information criteria; PPV, positive predictive value; NPV, negative predicitive value; LR, likelihood ratio.