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. Author manuscript; available in PMC: 2015 Dec 30.
Published in final edited form as: Urology. 2011 Jan 8;77(3):763.e1–763.e6. doi: 10.1016/j.urology.2010.07.526

Table 2.

Cox regression analysis for predicting unfavorable biopsy conversion at annual surveillance biopsy examination in an active surveillance cohort

Variable Patients (n) Univariate
Multivariate Model 1
Multivariate Model 2
HR (95% CI) P Value HR (95% CI) P Value HR (95% CI) P Value
Serum
 Prostate Health Index .003 .047
 ≤34.2 38 1.00 1.00
 >34.2 33 2.65 (1.39–5.07) 2.00 (1.008–3.97)
 [−2]proPSA/%fPSA .004 .036
 ≤0.7 36 1.00 1.00
 >0.7 35 2.65 (1.36–5.16) 2.15 (1.05–4.38)
DNA content
 BA excess of OD .019 .023 .018
 ≤25 59 1.00 1.00 1.00
 >25 12 2.58 (1.17–5.68) 2.69 (1.15–6.32) 2.80 (1.19–6.57)
 CA SD of OD .002 .004 .003
 ≤4 18 1.00 1.00 1.00
 >4 53 5.36 (1.89–15.24) 4.87 (1.66–14.24) 4.97 (1.70–14.50)

HR, hazard ratio; CI, confidence interval; PSA, BA, benign-adjacent; OD, optical density; CA, cancer; SD, standard deviation.