Table 4.
Biomarker | AUROC | SE, % | SP, % | PLR | NLR | PPV, % | NPV, % |
---|---|---|---|---|---|---|---|
APRI (n=106) | |||||||
Exclusionary cut-off ≤ 0.22 | 0.565 | 95.8 | 17.1 | 1.2 | 0.24 | 25.3 | 93.3 |
Confirmatory cut-off ≥ 1.00 | 0.619 | 25.0 | 98.8 | 20.5 | 0.76 | 85.7 | 81.8 |
FIB-4 (n=106) | |||||||
Exclusionary cut-off ≤ 0.88 | 0.571 | 95.8 | 18.3 | 1.2 | 0.23 | 25.6 | 93.8 |
Confirmatory cut-off ≥ 3.01 | 0.577 | 16.7 | 98.8 | 13.7 | 0.84 | 80.0 | 80.2 |
VCTE, kPa (n=63) | |||||||
Exclusionary cut-off ≤ 5.0 | 0.772 | 92.3 | 62.0 | 2.43 | 0.12 | 38.7 | 96.9 |
Confirmatory cut-off ≥ 8.8 | 0.749 | 53.8 | 96.0 | 13.5 | 0.48 | 77.8 | 88.9 |
Abbreviations: AC, accuracy; APRI, aspartate aminotransferase to platelet ratio index; AUROC, area under the receiver operating characteristic curve; FIB-4, fibrosis index based on four factors (i.e., age, platelet count, aspartate aminotransferase and alanine aminotransferase); VCTE, vibration controlled transient elastography; kPa, kiloPascals; NLR, negative likelihood ratio, NPV, negative predictive value; PLR, positive likelihood ratio; PPV positive predictive value; SE, sensitivity; SP, specificity.
Criteria for the exclusionary cut-off were sensitivity >90% and negative likelihood ratios (NLR) ≤0.1; if no cut-off met these criteria, among cut-offs with >90% sensitivity, the cutoff with the lowest NLR was selected.
Criteria for the confirmatory cut-off were specificity >90% and positive likelihood ratio (PLR) ≥10; if more than one cut-off met these criteria, the cut-off with the highest specificity was selected; if no cut-off met these criteria, among cut-offs with >90% specificity, the cut-off with the highest PLR was selected.