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editorial
. 2023 Sep 18;12(5):763–767. doi: 10.21037/hbsn-23-346

Table 1. Performance of non-invasive tests for the diagnosis of fibrotic NASH.

Test Prevalence of fibrotic NASH AUROC
(95% CI)
Cut-offs Sensitivity
(95% CI)
Specificity
(95% CI)
PPV (%) (95% CI) NPV (%) (95% CI)
MACK-3 (HOMA-IR, AST, CK-18): Original study (5) 23.3% 0.85±0.02 ≤0.134 (rule-out fibrotic NASH) 90%
at cut-off ≤0.134
94.2%
at cut-off ≥0.550
83.4 96.9
≥0.550 (rule-in fibrotic NASH)
MACK-3: External validation cohort (6) 21.4% 0.80 (0.74–0.87) ≤0.134 (rule-out fibrotic NASH) 100%
at cut-off ≤0.134
43.8%
at cut-off ≥0.550
43.1 100
≥0.550 (rule-in fibrotic NASH)
NIS4 algorithm (miR-34a-5p, alpha-2-macroglobulin, YKL-40, and HbA1C) (7) 44–49% 0.80 (0.77–0.84) <0.36 to rule-out fibrotic NASH; 81.5% (76.9–85.3)
at <0.36 cutoff
87.1% (83.1–90.3)
at ≥0.63 cutoff
79.2
(73.1–84.2)
77.9
(72.5–82.4)
≥0.63 to rule-in fibrotic NASH
Proteomic-based classification model (4 circulating proteins, BMI, HbA1C) NA Discovery cohort: 0.88 (±0.03) >−0.4491 to rule-in fibrotic NASH NA NA 79.0 85.0
Validation cohort: 0.80 (±0.04) <−0.4491 to rule-out fibrotic NASH
SomaSignal test (composed of 35 different proteins) (8) 46% 0.81 (0.75–0.86) Threshold 0.06 to rule-in fibrotic NASH 67.0%
(59.0–75.0)
82.0%
(59.0–75.0)
NA NA
MAST score (9) Derivation cohort: 17.5% 0.86 (0.78–0.93) <0.165 rule-out fibrotic NASH 94.4% 72.9% 42.5 98.4
>0.242 rule-in fibrotic NASH 61.1% 89.4% 55.0 91.6
Validation cohort: 11.5% 0.93 (0.88–0.97) <0.165 rule-out fibrotic NASH 89.3% 72.2% 29.4 98.1
>0.242 rule-in fibrotic NASH 75.0% 90.3% 50.0 96.5

NASH, non-alcoholic steatohepatitis; AUROC, areas under the receiver operating characteristic curves; CI, confidence interval; PPV, positive predictive value; NPV, negative predictive value; HOMA-IR, homeostasis model assessment for insulin resistance; AST, aspartate aminotransferase; CK-18, cytokeratin-18 fragments; BMI, body mass index; MAST, MRI-AST score; HbA1C, glycosylated hemoglobin; NA, not available.