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Table 4 Univariable and multivariable logistic regression model of preoperative variables predicting pathological T3 disease

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 (0.96–1.02) 0.6902 0.99 (0.96–1.03) 0.8237 0.99 (0.94–1.03) 0.8436
DRE 1.64 (1.06–2.54) 0.0233 1.68 (1.07–2.61) 0.0202 1.59 (1.01–2.49) 0.0404
Biopsy GS 1.79 (1.07–2.98) 0.0043 1.78 (1.08–2.85) 0.0135 1.65 (1.02–2.38) 0.0324
PSA 1.04 (1.01–1.07) 0.0124 1.04 (1.00–1.07) 0.0323 1.02 (0.98–1.05) 0.3022
fPSA 1.01 (0.97–1.05) 0.5891 0.99 (0.93–1.05) 0.7388 1.00 (0.95–1.06) 0.8705
p2PSA 1.02 (1.01–1.03) 0.0001     
%p2PSA 1.02 (1.01–1.05) 0.0243     
PHI 1.01 (1.00–1.02) 0.0007    1.01 (1.00–1.02) 0.0112
  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