Table 3.

Univariable and multivariable binary logistic regression analysis testing the value of clinical variables in predicting clinically significant Prostate Cancer (ISUP>1).

Variables	Univariable analysis			Multivariable analysis
	Odds ratio (95% C.I.)	Std. Err.	P > |z|	Odds ratio (95% C.I.)	Std. Err.	P > |z|
Age (years)	1.077 (1.063–1.091)	0.007	<0.001	1.092 (1.072–1.113)	0.011	<0.001
Suspicious DRE	3.143 (2.467–4.005)	0.388	<0.001	2.701 (2.069–3.527)	0.368	<0.001
PSA (ng/mL)	1.120 (1.093–1.147)	0.014	<0.001	1.155 (1.112–1.201)	0.023	<0.001
PVol (mL)	0.969 (0.964–0.974)	0.002	<0.001	0.970 (0.964–0.977)	0.003	<0.001
PVR (mL)	0.992 (0.990–0.995)	0.001	<0.001	0.994 (0.990–0.998)	0.002	0.006
PFR (mL/s)	1.021 (1.007–1.035)	0.007	0.002	1.003 (0.983–1.024)	0.010	0.752

DRE, digital rectal examination; ISUP, International Society of Urological Pathology; PCa, prostate cancer; PFR, peak flow rate; PSA, prostate-specific antigen; PVol, prostate volume; PVR, post-void residual urinary volume. The bold values are the statistically significant differences.