Table 4 Optimal models to predict clinical outcomes
From: Combination protein biomarkers predict multiple sclerosis diagnosis and outcomes
Outcome | Category | Biomarkers | Markers | N | Events | Concordance | P value |
|---|---|---|---|---|---|---|---|
Time to next relapse | CSF | vitamin D binding protein + CXCL12 + Factor B + CD27 + MCP1 + neurofilament light | 6 | 68 | 34 | 0.72 | 0.075 |
Serum | C1inh/C1s + C3 + Factor H + CXCL12 + CD27 + vitamin D binding protein | 6 | 67 | 31 | 0.72 | 0.02 | |
Serum/CSF | CSF[vitamin D binding protein + Factor I + C1inh/C1s] + serum[Factor B + IL4 + C1inh/C1s] | 6 | 63 | 29 | 0.80 |  < 0.001 | |
Time to EDSS 6 | CSF | neurofilament light + TNFR1 + iC3b + CXCL12 | 4 | 68 | 17 | 0.93 |  < 0.001 |
Serum | C1inh/C1s + CCL27 + Factor I + osteopontin | 4 | 65 | 15 | 0.94 |  < 0.001 | |
Serum/CSF | CSF[C9 + neurofilament light] + serum[chitinase-3-like-1 + CCL27 + vitamin D binding protein + C1inh/C1s] | 6 | 61 | 14 | 0.98 |  < 0.001 |