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

Table 4. Univariate and multivariate analyses predicting the probability of Gleason sum upgrading.

Predictor 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 0.480 0.825; 0.842
Prostate volume 0.510 1.005; 0.924
Clinical stage 0.583 2.492; 0.031 1.852;0.139 1.153; 0.816 1.236; 0.773
Percentage of positive biopsy core 0.602 3.140; 0.025 1.125; 0.452 1.109; 0.529 1.298; 0.372
PSA density 0.559 1.924; 0.093
tPSA 0.608 1.082; <0.001 0.976;0.583 0.911; 0.480 0.915; 0.036
fPSA 0.541 1.023; 0.506
%fPSA 0.392 0.001; 0.019 0.001;0.046 0.001; 0.037 0.001; 0.041
p2PSA 0.716 0.001; 1.102
%p2PSA 0.726 2.691; <0.001 2.716; <0.001
PHI 0.749 1.029; <0.001 1.032; <0.001
AUC of multivariate models 0.725 0.833 0.856
Gain in predictive accuracy (%, p-value) 10.8% (<0.001) 13.1% (<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 upgrading.