Table 7. Performance of single variable post-transplant (7a upper table) and pre-transplant (7b, lower table) models based on IR of CD154+TcM in training and validation sets.
Cohort | AUC | Cut value | Sensitivity | 95% CI | Specificity | 95% CI | PPV | 95% CI | NPV | 95% CI |
---|---|---|---|---|---|---|---|---|---|---|
Training set(n=98) | 0.878 | 0.0420 (1.10 on raw IR scale) | 92% (22/24) | 72%, 99% | 84% (62/74) | 73%, 91% | 65% (22/34) | 46%, 80% | 97% (62/64) | 88%, 99% |
Validation set(n=64) | 0.791 | 0.042 (1.10 on raw IR scale) | 84% (16/19) | 60%, 96% | 80% (36/45) | 65%, 90% | 64% (16/25) | 43%, 81% | 92% (36/39) | 78%, 98% |
Cohort | AUC | Cut value | Sensitivity | 95% CI | Specificity | 95% CI | PPV | 95% CI | NPV | 95% CI |
Training set(n=49) | 0.82 | 0.088 (1.23 on raw IR scale) | 80% (20/25) | 59%, 92% | 71% (17/24) | 49%, 87% | 74% (20/27) | 53%, 88% | 77% (17/22) | 54%, 91% |
Validation set (n=33) | 0.842 | 0.088 (1.23 on raw IR scale) | 57% (8/14) | 30%, 81% | 89% (17/19) | 65%, 98% | 80% (8/10) | 44%, 96% | 74% (17/23) | 51%, 89% |