Table 3.
The predicting performance of various diagnostic methods for distinguishing between TB and NTB in the validation cohort (Sino-French New City Hospital).
| Variables | Cutoff value | AUC (95%CI) | Sensitivity (95%CI) | Specificity (95%CI) | PPV (95%CI) | NPV (95%CI) | PLR (95%CI) | NLR (95%CI) | Accuracy |
|---|---|---|---|---|---|---|---|---|---|
| Diagnostic model based on TBAg/PHA Ratio | 0.047 | 0.865 (0.815-0.915) | 78.49% (69.10%-85.62%) | 78.50% (69.81%-85.23%) | 70.10% (58.96%-79.27%) | 85.03% (81.11%-88.31%) | 3.651 (2.836-4.678) | 0.274 (0.206-0.363) | 78.00% |
| Diagnostic model based on TBAg/PHA Ratio combined with AFBS | 0.225 | 0.867 (0.817-0.917) | 82.26% (73.28%-84.02%) | 77.11% (68.31%-84.02%) | 74.87% (63.79%-83.42%) | 88.89% (85.47%-91.71%) | 3.594 (2.798-4.586) | 0.230 (0.166-0.318) | 80.00% |
| Diagnostic model based on TBAg/PHA ratio combined with GeneXpert MTB/RIF | 0.171 | 0.912 (0.872-0.953) | 84.95% (76.30%-90.82%) | 85.05% (77.08%-90.58%) | 78.38% (67.41%-86.40%) | 89.79% (85.61%-92.89%) | 5.682 (3.962-8.100) | 0.177 (0.119-0.262) | 86.00% |
TB, spinal tuberculosis; NTB, non-tuberculosis; AUC, the area under the curve; TBAg, Mycobacterium tuberculosis-specific antigen; PHA, phytohemagglutinin; AFBS, acid-fast bacilli smear; PPV, positive predictive value; NPV, negative predictive value; PLR, positive likelihood ratio; NLR, negative likelihood ratio; CI, confidence interval.