Table 3.

Cutoff value that optimizes the differentiating ability of MHs using the pMayo score

Time point	Cutoff	AUC (95% CI)	Sensitivity/1 – specificity	PPV/NPV, %
Week 0	6	0.644 (0.518, 0.769)	0.710/0.443	20.9/59.2
Week 6	2	0.711 (0.593, 0.829)	0.552/0.190	66.7/75.3
Week 10	3	0.775 (0.671, 0.0.879)	0.793/0.302	59.4/83.3
Week 14	3	0.860 (0.783, 0.937)	0.897/0.302	64.5/85.2
Week 18	3	0.893 (0.831, 0.955)	0.931/0.238	66.7/88.1
Week 22	3	0.899 (0.829, 0.969)	0.931/0/159	75.0/87.5

The Euclidian index method used to estimate the cutoff value that optimizes the differentiating ability of MHs using the pMayo (or Mayo) score AUC > 0.8 was considered as “highly associated.” The positive and negative predictive values were also calculated together with the sensitivity and specificity. PPV, positive predictive value; NPV, negative predictive value.