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. 2016 Apr 6;11(4):e0152757. doi: 10.1371/journal.pone.0152757

Table 2. Clinical utility of three models for prediction of fibrosis.

model Cut-off sensitivity 95%CI specificity 95%CI PPV 95%CI NPV 95%CI
value % % % %
S1 vs S2-4
FIB-4 1.13 53.3 50.5–56.1 71.4 65.6–76.8 89.9 87.5–92.0 24.2 21.3–27.4
APRI 0.72 63.8 61.0–66.4 60.5 54.4–66.4 88.5 86.3–90.5 25.9 22.5–29.5
AAR 0.41 17.1 15.1–19.3 88.0 83.5–91.7 87.2 82.4–91.1 18.2 16.1–20.4
S1-2 vs S3-4
FIB-4 1.32 54.3 50.6–58.0 72.4 69.2–75.4 63.4 59.4–67.2 64.3 61.1–67.4
APRI 0.69 74 70.7–77.2 48.4 44.9–51.9 55.8 52.6–59.0 67.9 64.0–71.7
AAR 0.66 58.7 55.0–62.3 50.1 46.6–53.6 50.9 47.4–54.3 58.0 54.2–61.6
S1-3 vs S4
FIB-4 1.35 68.9 63.3–74.1 66.8 64.1–69.4 33.4 29.7–37.3 89.9 87.8–91.8
APRI 0.84 69.6 64.0–74.7 52.8 50.0–55.6 26.2 23.2–29.4 87.8 85.2–90.1
AAR 0.66 65.9 60.2–71.2 48.8 46.0–51.7 23.6 20.8–26.7 85.6 82.8–88.1

Footnotes: Cut-off value was determined by maximal sum of sensitivity and specificity.PPV,positive predictive value;NPV,negative predictive value;CI, confidence interval.