Skip to main content

Table 5 Univariable and multivariable logistic regression model of preoperative variables predicting the presence of positive surgical margin at final pathology

From: Preoperative prostate health index predicts adverse pathology and Gleason score upgrading after radical prostatectomy for prostate cancer

Variables Univariable analysis Multivariable analysis
OR (95% CI) p value Base model
OR (95% CI)
p value Base model + PHI
OR (95% CI)
p value
Age 0.99 (0.97–1.03) 0.9808 1.00 (0.97–1.03) 0.9743 1.00 (0.97–1.04) 0.9514
DRE 1.44 (1.06–2.86) 0.0067 1.45 (1.07–2.65) 0.0066 1.43 (1.02–2.58) 0.0121
Biopsy GS 1.52 (1.04–2.88) 0.0434 1.51 (1.05–2.87) 0.0355 1.48 (1.05–2.36) 0.0462
PSA 1.03 (0.99–1.06) 0.0970 1.02 (0.98–1.06) 0.2120 0.99 (0.96–1.04) 0.8618
fPSA 0.98 (0.91–1.06) 0.6749 0.97 (0.84–1.11) 0.6051 0.98 (0.88–1.09) 0.6931
p2PSA 1.02 (1.01–1.03) 0.0018     
%p2PSA 1.03 (1.01–1.06) 0.0036     
PHI 1.01 (1.00–1.02) 0.0014    1.01 (1.00–1.02) 0.0066
  1. DRE digital rectal examination, Biopsy GS Biopsy Gleason score, PSA prostate specific antigen, fPSA free prostate specific antigen, p2PSA [− 2]proPSA, %p2PSA [− 2]proPSA/fPSA ratio, PHI Prostate health index, OR Odds ratio, CI confidence interval