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. 2020 Feb 28;10:3669. doi: 10.1038/s41598-020-60314-w

Table 2.

Individual subset predictive value: ROC analysis and cut-off for patients’ stratification as high-risk of progression.

Normalised Naive Normalised Treg IRC Risk-Score
At-risk participants n = 158 AUC (range) 0.313 (0.212–0.413) 0.330 (0.227–0.432) 0.313 (0.212–0.413) 3 subsets
P 0.001 0.003 0.001 02-Mar
Cut-off −10% −3% 4% 93%
Specificity 80% 82% 80% 36.50%
Sensitivity 41% 35% 41% 4.95
OR 1.95 2.3 1.95 74%
PPV 61% 64% 61% 71.50%
NPV 63% 63% 63%
Evolving IA n = 294 AUC (range) 0.363 (0.281–0.446) 0.001 0.389 (0.307–0.471) NA 2 subsets
P −10% 0.01 Absent/Present
Cut-off 92% −3% 80%
Specificity 51% 83% 69%
Sensitivity 6.4 21% 3.38
OR 84% 1.5 83%
PPV 69% 80% 64%
NPV 29.5
MTX-induced Remission n = 120  AUC (range) 0.822 (0.710–0.933) NA NA Naive subset only
P <0.0001
Cut-off 2.50%
Specificity 81%
Sensitivity 78%
OR 15.4
PPV 78%
NPV 81%
Remission/ Flare n = 145 AUC (range) 0.271 (0.151–0.389) <0.0001 NA NA Naive subset only
P −2.50%
Cut-off 77%
Specificity 62%
Sensitivity 2.7
OR 43%
PPV 88%
NPV

AUC: area under the curve (95% CI), OR: odd ratio, PPV: positive predictive value, NPV: negative predictive value, NA not applicable.