Table 5. General discriminant analysis (GDA) models for discriminating between LTBI and active TB disease.
| Analytes | Resubstitution Classification matrix | Leave-one-out Cross validation | Wilks lambda | f | |||
| No TB (%) | TB (%) | Total (%) | No TB (%) | TB (%) | |||
| EGFAg IL-1RaN IP-10N MCP-3N TNF-αN | 80.8 (21/26) | 80.0 (12/15) | 80.5 (33/41) | 80.8 (21/26) | 80.0 (12/15) | 0.319 | 74.5 |
| EGFAg IL-1αN IP-10N MCP-3N TNF-αN | 88.5 (23/26) | 80.0 (12/15) | 85.4 (35/41) | 80.8 (21/26) | 73.3 (11/15) | 0.316 | 75.9 |
| EGFN IL-1αN IP-10N MCP-3N TNF-αN | 80.8 (21/26) | 86.7 (13/15) | 82.9 (34/41) | 80.8 (21/26) | 80.0 (12/15) | 0.364 | 61.0 |
| EGFAg IP-10N sCD40LN TNF-αNTGF-αN | 76.9 (20/26) | 80.0 (12/15) | 78.0 (32/41) | 73.1 (19/26) | 73.3 (11/15) | 0.355 | 63.4 |
| EGFAg IL-1αN IP-10N TGF-αN TNF-αN | 80.8 (21/26) | 86.7 (13/15) | 82.9 (34/41) | 76.9 (20/26) | 80.0 (12/15) | 0.350 | 64.9 |
| EGFAg IL-1αN IP-10N TNF-αN IFN-γN | 92.3 (24/26) | 73.3 (11/15) | 85.4 (35/41) | 76.9 (20/26) | 73.3 (11/15) | 0.317 | 75.4 |
| EGFN IL-1RaN IP-10N TNF-αN MCP-3N | 76.9 (20/26) | 86.7(13/15) | 80.5 (33/41) | 76.9 (20/26) | 73.3 (11/15) | 0.378 | 57.6 |
Participants were not stratified according to HIV status prior to data analysis. In each case, effect df = 1, error df = 32. P- values for all the models were <0.0001. N = unstimulated marker levels, Ag = levels detected in antigen stimulated supernatant, Ag-N = Antigen specific marker levels obtained after background correction.