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. 2019 Dec 17;61(1):42–50. doi: 10.4111/icu.2020.61.1.42

Table 3. Univariate and multivariate analysis predicting the probability of Gleason sum ≥7 at pathologic staging.

Predictors Univariate analysis Multivariate analysis
AUC of individual predictor variables OR; p-value Base model OR; p-value Base model with %p2PSA; p-value Base model with PHI; p-value
Age 0.445 0.989; 0.623
Prostate volume 0.491 0.889; 0.723
Clinical stage 0.698 23.109; <0.001 43.924; <0.001 72.612; <0.001 1982.218; <0.001
Percentage of positive biopsy core 0.637 3.251; 0.021 7.421; <0.001 14.861; <0.001 22.176; <0.001
PSA density 0.582 1.023; 0.124
tPSA 0.714 1.180; <0.001 1.312; 0.038 1.612; 0.007 0.991; 0.968
fPSA 0.570 1.060; 0.611
%fPSA 0.287 0.001; <0.001 0.231; 0.845 8.239; 0.616 0.052; 0.790
p2PSA 0.754 1.063; <0.001
%p2PSA 0.836 10.557; <0.001
PHI 0.849 1.243; <0.001
AUC of multivariate models 0.861 0.901 0.932
Gain in predictive accuracy (%, p-value) 4.0% (<0.001) 7.1% (<0.001)

AUC, area under the curve; OR, odds ratio; PHI, prostate health index; PSA, prostate-specific antigen; tPSA, total PSA; fPSA, free PSA; %fPSA, the percentage of free PSA to total PSA; %p2PSA, the percentage of p2PSA to free PSA.

The AUC reflects the predictive values of individual variables (columns) and of the multivariate models for predicting the probability of Gleason sum ≥7.