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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
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BMC Urology

ISSN: 1471-2490

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