Multivariable Analysis of PFS Predictors Using Proportional Cox Regression Model
| Variable | B | SE | Wald | df | P | Exp(B) | 95% CI |
|---|---|---|---|---|---|---|---|
| Age | −0.05 | 0.029 | 3.103 | 1 | 0.078 | 0.95 | 0.897–1.006 |
| Time to mCRPC | 0.003 | 0.004 | 0.669 | 1 | 0.413 | 1.003 | 0.995–1.012 |
| %ID baseline LNM | 0.126 | 0.133 | 0.900 | 1 | 0.343 | 1.134 | 0.874–1.472 |
| %IDred LNM | 0.020 | 0.009 | 4.717 | 1 | 0.03 | 1.021 | 1.002–1.040 |
| %IDred BM | 0.017 | 0.016 | 1.157 | 1 | 0.282 | 1.017 | 0.986–1.049 |
B = Beta; Wald = Wald statistics; df = degrees of freedom; Exp(B) = hazard ratio.