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. 2014 Jul 30;15(8):13299–13316. doi: 10.3390/ijms150813299

Table 4.

Prediction of Gleason sum ≥7 at prostatectomy.

Predictors Univariate Analysis Multivariate Analysis
Base Model Base Model + PHI
OR
(95% CI)
p Value AUC
((95% CI)
OR
((95% CI)
OR
((95% CI)
Age 1.067
(0.989–1.153)
0.099 62.5%
(50.1–74.8)
1.018
(0.935–1.110)
1.047
(0.954–1.150)
DRE findings 1.705
(0.471–6.177)
0.393 53.8%
(45.7–61.9)
0.959
(0.215–4.275)
1.413
(0.268–7.438)
Serum total PSA 1.022
(0.926–1.127)
0.658 52.2%
(38.0–66.4)
0.966
(0.856–1.091)
0.867
(0.738–1.018)
Biopsy Gleason sum 20.698
(4.626–92.615)
<0.0001 79.2%
(71.8–86.5)
21.505
(4.418–104.677)
18.839
(4.018–88.335)
PHI 1.030
(0.998–1.062)
0.028 66.6%
(54.4–78.7)
- 1.049
(1.002–1.097)
AUC (multivariate models) 81.3%
(71.1–91.5)
86.1%
(79.0–93.1)
Gain in predictive accuracy * - +4.8
p value * - NS

All variables were treated as continuous variables except DRE (digital rectal examination; suspicious vs. non suspicious) and Gleason sum at biopsy (6 vs. ≥7). *: as compared with the base model. AUC: area under receiver operating curves; NS: not significant; OR: odds ratio; PHI: Prostate Health Index; PSA: prostate-specific antigen.