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. 2017 Apr 12;108(4):663–670. doi: 10.1111/cas.13171

Table 1.

Area under the curve (AUC) from receiver operating characteristic curve analysis and univariate and multivariate logistic regression analysis to predict prostate cancer on transrectal biopsy

Predictor AUC (95% CI) Univariate Multivariate
OR 95% CI P‐value OR 95% CI P‐value§
Neopterin, ng/mL 0.61 (0.50–0.72) 2.436 0.935–6.339 0.068 2.558 0.781–8.377 0.121
Tryptophan, μmol/L 0.58 (0.49–0.68) 0.216 0.037–1.249 0.087 0.614 0.054–6.924 0.693
Kynurenine, μmol/L 0.56 (0.46–0.67) 0.524 0.190–1.444 0.212 0.474 0.119–1.887 0.289
KTR, μmol/mmol 0.51 (0.40–0.61) 0.850 0.268–2.695 0.782 0.371 0.108–1.681 0.381
PSA, ng/mL 0.69 (0.60–0.78) 3.144 1.681–5.880 <0.001 3.292 1.706–6.352 <0.001
fPSA, % 0.60 (0.51–0.70) 0.574 0.268–1.228 0.152 NA NA NA

†Predictors were log‐transformed. ‡Obtained according to the DeLong method. §Multivariate models adjusted for neopterin, tryptophan, kynurenine, kynurenine‐to‐tryptophan ratio (KTR), and prostate‐specific antigen (PSA). CI, confidence interval; fPSA, free PSA; HR, hazard ratio; NA, not adopted due to missing values.