Results of Cox Regression Models
Bivariate Cox regression | Multivariate Cox regression | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PSA PFS | OS | PSA PFS | OS | ||||||||||
Cox model | Parameter | HR | 95% CI | P | HR | 95% CI | P | HR | 95% CI | P | HR | 95% CI | P |
Cycle 2 | TTV | 1.42 | 1.10–1.83 | 0.006 | 2.11 | 1.50–2.95 | <0.001 | 1.45 | 1.11–1.89 | 0.006 | 2.37 | 1.62–3.47 | <0.001 |
NLs | 3.17 | 0.82–12.3 | 0.1 | 5.81 | 1.93–17.5 | 0.002 | 3.30 | 0.86–12.7 | 0.083 | 7.67 | 2.77–21.3 | <0.001 | |
Cycle 3 | TTV | 1.99 | 1.38–2.87 | <0.001 | 1.98 | 1.22–3.20 | 0.005 | 1.99 | 1.36–2.89 | <0.001 | 2.19 | 1.24–3.88 | 0.007 |
NLs | 3.34 | 0.84–13.3 | 0.087 | 4.92 | 1.3–18.6 | 0.019 | 2.10 | 0.53–8.28 | 0.3 | 5.50 | 1.46–20.7 | 0.012 |
Data are fitted bivariate Cox regressions for PSA PFS and OS conditional on TTV or NLs at start of cycle 2 or 3, and fitted multivariate Cox regressions for PSA PFS and OS conditional on both TTV and NLs combined. All regressions are adjusted for changes in PSA level measured at start of corresponding cycle relative to baseline.