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.