Table 2.

Ki67 analysis as a continuous variable: Multivariable Cox proportional hazard models for RFS, OS, and DSS.

Model	Factor	Comparison	Hazard Ratio	95% LCL	95% UCL	Overall p-value
RFS Model 1 (N = 634, #Events = 281)	Ki67% weighted average	1% increase	1.07	1.03	1.11	0.0008
	Margin	Pos vs. Neg	1.41	1.09	1.84	0.01
	Seminal vesicle invasion	Yes vs. No	1.85	1.23	2.80	0.003
	Gleason score	3+4 vs. 6	1.22	0.90	1.66	0.005
		4+3 vs. 6	1.88	1.33	2.66
		8–10 vs. 6	1.42	0.96	2.09
	Pathologic stage	pT3/pT4 vs. pT2	1.43	1.07	1.92	0.02
	Log(PSA)	1 unit increase	1.62	1.35	1.96	<.0001
RFS Model 2 (N = 634, #Events = 281)	Ki67% maximum	1% increase	1.04	1.01	1.07	0.007
	Margin	Pos vs. Neg	1.40	1.08	1.83	0.01
	Seminal vesicle invasion	Yes vs. No	1.85	1.22	2.79	0.004
	Gleason score	3+4 vs. 6	1.24	0.91	1.67	0.003
		4+3 vs. 6	1.91	1.35	2.70
		8–10 vs. 6	1.46	0.99	2.15
	Pathologic stage	pT3/pT4 vs. pT2	1.44	1.07	1.93	0.02
	Log(PSA)	1 unit increase	1.61	1.34	1.95	<.0001
OS (N = 984, #Events = 57)	Ki67% positive	1% increase	1.09	1.01	1.16	0.02
	Gleason Score	3+4 vs. <=6	0.87	0.44	1.72	0.68
		4+3 vs. <=6	1.14	0.46	2.84	0.78
		8–10 vs. <=6	3.28	1.65	6.51	0.0007
DSS (N = 874, #Events = 44)	Ki67% positive	1% increase	1.10	1.02	1.18	0.02
	Log(PSA)	1 unit increase	1.98	1.35	2.89	0.005
	Gleason Score	3+4 vs. <=6	2.27	0.93	5.52	0.07
		4+3 vs. <=6	2.75	0.97	7.81	0.06
		8–10 vs. <=6	5.13	1.92	13.75	0.001

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. Overall survival (OS) event is defined as death of any cause. Disease-specific survival (DSS) event is defined as prostate cancer metastasis or death due to PC. Both OS and DSS have only one final model. Only significant factors were included in the final models.