Table 2.
Univariable and multivariable binary logistic regression analysis testing the value of clinical variables in predicting Prostate Cancer (any ISUP).
| 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) | 1.057 (1.046–1.069) | 0.006 | <0.001 | 1.076 (1.059–1.093) | 0.009 | <0.001 |
| Suspicious DRE | 2.277 (1.857–2.791) | 0.237 | <0.001 | 1.852 (1.472–2.329) | 0.217 | <0.001 |
| PSA (ng/mL) | 1.061 (1.038–1.084) | 0.012 | <0.001 | 1.093 (1.055–1.132) | 0.020 | <0.001 |
| PVol (mL) | 0.970 (0.966–0.974) | 0.002 | <0.001 | 0.971 (0.966–0.976) | 0.003 | <0.001 |
| PVR (mL) | 0.989 (0.987–0.991) | 0.001 | <0.001 | 0.993 (0.989–0.996) | 0.002 | <0.001 |
| PFR (mL/s) | 1.031 (1.019–1.044) | 0.006 | <0.001 | 1.010 (0.992–1.028) | 0.009 | 0.271 |
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.