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. 2020 Aug 28;9(20):7524–7536. doi: 10.1002/cam4.3419

Table 2.

Multivariate logistic analysis with corresponding predictive accuracy for each variable

Variables Biopsy outcome of prostate cancer Biopsy outcome of HGPCa
OR (95%CI) P Value AUC OR (95%CI) P Value AUC
Age (Continuous) 1.04 (0.95‐1.14) .39 0.52 0.97 (0.85‐1.10) .63 0.55
f/t PSA ratio (Continuous) 0.88 (0.79‐0.99) .031 0.65 0.85 (0.73‐0.99) .039 0.66
Serum PSA (Continuous) 1.11 (0.98‐1.26) .098 0.58 1.19 (1.01‐1.40) .043 0.62
DRE, n, (Abnormal) 3.11 (0.35‐27.85) .31 0.51 1.31 (0.071‐24.45) .86 0.51
ASAP history (Present) 7.10 (1.31‐38.57) .023 0.60 2.31 (0.14‐37.84) .56 0.53
HGPIN history (Present) 2.62 (0.37‐18.53) .34 0.52 5.14 (0.28‐96.13) .27 0.52
Biomarker index 1.06 (1.03‐1.09) <.001 0.72 1.08 (1.03‐1.13) .002 0.73

Abbreviations: AUC: Area under curve;CI: Confidence interval; HGPCa: High grade prostate cancer; OR: odd ratio.