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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
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BMC Urology

ISSN: 1471-2490

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