Table 3.
Multivariate logistic regression model.
| Variable | OR (95% C.I.) | p-value |
|---|---|---|
| Age (years) | 1.059 (1.048,1.071) | < 0.001 |
| rcs(PSA, 5) PSA | 1.579 (1.355,1.850) | < 0.001 |
| rcs(PSA, 5) PSA’ | 2.150 × 10− 7 (1.662 × 10− 11,2.425 × 10− 3) | 0.001 |
| rcs(PSA, 5) PSA’’ | 3.449 × 1015 (7.171 × 104,2.148 × 1026) | 0.004 |
| rcs(PSA, 5) PSA’’’ | 1.111 × 10− 10 (7.608 × 10− 19,1.464 × 10− 2) | 0.016 |
| PV | 0.974 (0.971, 0.977) | < 0.001 |
| DRE (suspicious) | 2.599 (2.133,3.170) | < 0.001 |
| FH (yes) | 1.673 (1.227,2.278) | 0.001 |
| PNB (yes) | 0.696 (0.579,0.835) | < 0.001 |
| PI-RADS 2:1 | 1.279 (0.690,2.301) | 0.421 |
| PI-RADS 3:1 | 1.839 (1.288,2.662) | < 0.001 |
| PI-RADS 4:1 | 6.755 (4.882,9.520) | < 0.001 |
| PI-RADS 5:1 | 18.758 (12.994,27.515) | < 0.001 |
rcs restricted cubic spline, PSA prostate specific antigen, PV prostate volume, PSAD PSA density, DRE digital rectal exam findings, FH family history of PCa, PNB previous negative biopsy.