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. Author manuscript; available in PMC: 2017 Jul 31.
Published in final edited form as: Prostate Cancer Prostatic Dis. 2016 May 3;19(3):264–270. doi: 10.1038/pcan.2016.12

Table 3.

Ki67 dichotomized at 5% cutoff: multivariable Cox proportional hazard models stratified by center for RFS.

Model Factor Comparison Hazard Ratio 95% LCL 95% UCL Overall p-value
RFS Model 1 (N = 706, #Events = 319) Ki67% weighted average >=5% vs. <5% 1.471 1.110 1.950 0.0007
Margin Pos vs. Neg 1.598 1.248 2.047 0.0002
Seminal vesicle invasion Yes vs. No 2.072 1.430 3.002 0.0001
Gleason score 3+4 vs. 6 1.297 0.972 1.732 0.004
4+3 vs. 6 1.808 1.273 2.568
8–10 vs. 6 1.626 1.126 2.348
Log(PSA) 1 unit increase 1.536 1.288 1.831 <.0001
RFS Model 2 (N = 706, #Events = 319) Ki67% maximum >=5% vs. <5% 1.314 1.033 1.672 0.03
Margin Pos vs. Neg 1.596 1.246 2.043 0.0002
Seminal vesicle invasion Yes vs. No 2.119 1.462 3.070 <.0001
Gleason score 3+4 vs. 6 1.317 0.986 1.757 0.0002
4+3 vs. 6 1.876 1.324 2.658
8–10 vs. 6 1.670 1.159 2.406
Log(PSA) 1 unit increase 1.505 1.264 1.792 <.0001

Recurrence free survival (RFS) event is defined as any recurrence, metastasis, or prostate cancer death. Models 1 and 2 are separate models using Ki67 weighted average % positive (PI=2.19) and maximum % positive (PI=3.11), respectively. Only significant factors were included in the final models.