Serum CTX-I | Serum NTX-I | Serum C1M | Serum C2M | Serum C3M | Serum CRPM | Urine NTX-I | Urine CTX-II | Urinary CTX-Iα | Urinary CTX-Iβ | aSerum hsPRO-C2 | |
---|---|---|---|---|---|---|---|---|---|---|---|
BMLs | |||||||||||
Maximum size | 1.11 P = 0.217 (0.94, 1.30) | 1.01 P = 0.860 (0.86, 1.19) | 1.02 P = 0.783 (0.87, 1.21) | 1.02 P = 0.828 (0.84, 1.24) | 1.00 P = 0.952 (0.86, 1.17) | 0.98 P = 0.769 (0.84, 1.14) | 0.99 P = 0.857 (0.86, 1.14) | 1.02 P = 0.769 (0.88, 1.19) | 0.99 P = 0.838 (0.86, 1.13) | 1.09 P = 0.260 (0.94, 1.28) | 0.96 P = 0.683 (0.80, 1.16) |
Time-integrated concentrations | |||||||||||
1.06 P = 0.501 (0.90, 1.24) | 1.01 P = 0.937 (0.86, 1.17) | 0.97 P = 0.727 (0.83, 1.14) | 1.07 P = 0.429 (0.91, 1.25) | 1.00 P = 0.952 (0.86, 1.17) | 0.95 P = 0.520 (0.83, 1.10) | 1.02 P = 0.809 (0.88, 1.17) | 0.98 P = 0.819 (0.84, 1.15) | 1.02 P = 0.801 (0.89, 1.17) | 1.06 P = 0.478 (0.90, 1.24) | 0.99 P = 0.954 (0.84, 1.18) | |
Number of subregions | 1.20 P = 0.026 (1.02, 1.40) | 1.17 P = 0.051 (1.00, 1.37) | 1.08 P = 0.375 (0.91, 1.28) | 0.91 P = 0.294 (0.75, 1.09) | 1.08 P = 0.347 (0.92, 1.26) | 0.94 P = 0.369 (0.81, 1.08) | 0.98 P = 0.823 (0.86, 1.13) | 1.04 P = 0.638 (0.89, 1.21) | 0.98 P = 0.784 (0.85, 1.13) | 1.17 P = 0.045 (1.00, 1.36) | aMultinomial logistic regression |
Time-integrated concentrations | |||||||||||
1.06 P = 0.487 (0.90, 1.24) | 1.05 P = 0.551 (0.90, 1.22) | 1.10 P = 0.261 (0.93, 1.30) | 1.13 P = 0.142 (0.96, 1.33) | 1.06 P = 0.482 (0.91, 1.24) | 0.97 P = 0.712 (0.85, 1.12) | 1.02 P = 0.784 (0.89, 1.17) | 1.03 0.669 (0.86, 1.21) | 1.02 P = 0.750 (0.89, 1.17) | 1.05 P = 0.538 (0.90, 1.23) | 0.94 P = 0.444 (0.79, 1.11) | |
aMultinominal logistic regression | |||||||||||
Improvement No change Worsening 1 subregion Worsening 2 + subregions | 1.13 (0.71, 1.79), P = 0.602 Ref 0.73 (0.54, 0.98), P = 0.039 0.78 (0.71, 1.96), P = 0.527 |