Table 3.
Association of inflammatory biomarkers (LBP and sTLR4) with knee osteoarthritis progression (adjusted for treatment group, BMI and baseline outcome variable*).
| Outcome Variable | Biomarker† | n | Parameter Estimate (SE) or Odds Ratio*** (95% CI) | p Value |
|---|---|---|---|---|
| Z-LBP baseline | 341 | −7.08×10−2 (4.18×10−2) | 0.090 | |
| ΔJSW16 | Z-TIC (LBP)12 | 253 | −1.11×10−1 (5.21×10−2) | 0.035 |
| Z-TIC (LBP)18 | 282 | −7.90×10−2 (4.79×10−2) | 0.100 | |
| Z-LBP baseline | 341 | 1.319 (1.029, 1.692) | 0.029 | |
| JSN16 | Z-TIC (LBP)12 | 253 | 1.406 (1.042, 1.898) | 0.026 |
| Z-TIC (LBP)18 | 282 | 1.418 (1.06, 1.897) | 0.019 | |
| Log10 (ΔuCTX-Il18)** | Z-sTLR4 baseline Z-TIC (sTLR4)18 |
234 233 |
1.98×10−3 (6.25×10−4) 1.71×10−3 (5.48×10−4) |
0.0017 0.0021 |
Biomarker Data were Z score transformed.
Covariates include treatment group, age, BMI, and corresponding baseline radiographic measures (JSW baseline for ΔJSW16; uCTX-II at baseline for ΔuCTX-II18)
log ((Δ uCTX-II18) was based on log10((Δ uCTX-II18+1-min((Δ uCTX-II18 for the cohort)).
Odds ratios only given for logistic regression models. Others are beta coefficient parameter estimates and standard error (SE) from linear regression for continuous outcomes. p<0.05 in bold