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. 2022 Jan 12;10(4):589–594. doi: 10.14218/JCTH.2021.00311

Table 3. Comparison of the performance among NFS, APRI, FIB-4, and BARD in the Asian cohort.

Cutoffs AUROC Accuracy (%) Sensitivity (%) Specificity (%) PPV (%) NPV (%) PLR NLR DOR Youden’s index
NFS −1.455 61.7 67.4 59.4 40.8 81.5 1.66 0.55 3.02 0.269
−0.372 0.699 72.0 53.5 79.7 52.3 80.5 2.64 0.58 4.55 0.332
0.676 71.2 14.7 94.7 57.7 73.4 3.28 0.87 3.77 0.121
FIB-4 1.21 0.683 62.1 75.6 56.5 41.9 84.8 1.74 0.43 4.05 0.321
1.30 61.4 67.4 58.9 40.6 81.3 1.64 0.55 2.98 0.264
1.45 65.9 60.5 68.1 44.1 80.6 1.90 0.58 3.28 0.297
2.67 70.6 26.7 88.9 50.0 74.5 2.41 0.82 2.94 0.151
3.25 70.3 18.6 91.8 48.5 73.1 2.27 0.89 2.55 0.116
APRI 0.3 0.625 49.2 90.7 31.9 35.6 89.2 1.33 0.29 4.59 0.226
0.5 52.9 65.1 47.8 34.1 76.7 1.25 0.73 1.71 0.130
1.5 69.6 17.4 91.3 45.5 72.7 2.01 0.90 2.23 0.097
BARD 2 0.615 55.2 67.4 50.2 36.0 78.8 1.36 0.65 2.09 0.177

Best cutoff value is presented in italic. AUROC, area under the receiver operating characteristic curve; DOR, diagnostic odds ratio; NLR, negative likelihood ratio; NPV, negative predictive value; PLR, positive likelihood ratio; PPV, positive predictive value.