Skip to main content

Table 6 Logistic regression analyses predicting the probability of Gleason score ≥ 7 disease

From: Usefulness of the prostate health index in predicting the presence and aggressiveness of prostate cancer among Korean men: a prospective observational study

Predictors AUC of individual predictor variable (95% CI);)
P value*
Bivariate analysis
OR(95%CI); P value
Multivariate analysis
Base model **
OR(95% CI); P value
Base model + %p2PSA
OR (95% CI); P value
Base model + PHI
OR(95%CI); P value
Age 0.55
(0.42–0.67) 0.508
1.028
(0.95–1.12); 0.513
1.005
(0.92–1.09); 0.913
1.050
(0.95–1.16); 0.357
1.028
(0.93–1.13); 0.577
tPSA, ng/mL 0.62
(0.48–0.77)
1.064
(0.99–1.14);
0.086
1.031
(0.92–1.16); 0.602
1.016
(0.940–1.098); 0.688
0.974
(0.90–1.05); 0.498
fPSA 0.58
(0.44–0.72) 0.358
1.818
(0.84–3.94); 0.129
1.399
(0.39–5.04); 0.608
0.943
(0.36–2.46); 0.904
0.727
(0.28–1.88); 0.511
%fPSA 0.41
(0.26–0.57) 0.302
0.973
(0.91–1.04); 0.440
0.977
(0.88–1.09); 0.675
0.978
(0.86–1.11); 0.731
1.010
(0.90–1.13); 0.869
p2PSA, pg/mL 0.79
(0.68–0.91) 0.004
1.047
(1.01–1.09); 0.017
%p2PSA 0.86
(0.75–0.93) 0.001
1.020
(1.01–1.04); 0.007
1.029
(1.01–1.05); 0.015
PHI 0.87
(0.76–0.94)< 0.001
3.887
(1.73–8.74); 0.001
3.833
(1.56–9.40); 0.003
AUC of multivariate models (95% CI) 0.629
(0.50–0.75)
0.086
0.861
(0.75–0.94)
< 0.001
0.886
(0.78–0.95)
< 0.001
Gain in predictive accuracy (95% CI);
P value
0.232
(0.08–0.38);
0.002
0.257
(0.11–0.40);
0.001
  1. AUC, area under the receiver operating characteristic curve; PSA, prostate-specific antigen; fPSA, free PSA; p2PSA, [-2]proPSA; PHI, prostate health index; tPSA, total PSA; OR, odds ratio; CI, confidence interval
  2. *P value: Comparison of AUC using tPSA as standard
  3. **Base model includes age, tPSA, fPSA and %fPSA
  4. P value to be statiscally significant with bolditalics