Summary of biochemical tests for AF in patients with NAFLD
Parameters Measures | Non-invasive test | AUROC | Cutoff | Diagnostic accuracy (%) | Study population, reference |
---|---|---|---|---|---|
AST, PLT | APRI score | 0.76 | > 1 | Se 66-Sp91, NPV 87 | 245 NAFLD, [85] |
0.77 | < 1 > 1.5 | Se 50-Sp 84 Se 18.3-Sp 96.1 | 6, 877 NAFLD, [77] | ||
0.86 | 0.42 | Se 84-Sp 75, NPV 96 | 213 T2DM, [46] | ||
Age, AST, ALT, PLT | FIB-4 index | 0.8 | < 1.3 > 2.67 | Se 74-Sp 71 Se 33-Sp 98 | 541 NAFLD, [74] |
0.84 | > 2.67 > 3.25 | Se 26.6-Sp 96.5 Se 31.8-Sp 96 | 8, 635 NAFLD, [77] | ||
0.72 | > 2 | Se 77-Sp 70 | 61 ≥ 65 years NAFLD, [81] (reduced false positive in age > 65 years) | ||
0.84 | < 1 | Se 100-Sp 94.3 (F0 vs. F1-4) | 108 + 239 NAFLD, [83] (excluding any fibrosis) | ||
0.78 | 1.6 | Se 68-Sp 75, NPV 93 | 213 T2DM, [46] | ||
AGE, BMI, albumin, AST/ALT ratio, hyperglycemia, PLT | NFS | 0.84 | > 0.67 < −1.45 | PPV 90 NPV 93 | 733 NAFLD, [75] |
0.84 | < −1.45 | Se 72-Sp 70 | 9, 392 NAFLD, [77] | ||
0.81 | < −1.45 | Se 93-Sp 20 | 61 ≥ 65 years NAFLD, [81] (reduced false positive in > 65 years) | ||
0.64 | < −1.45 –0.053 | Se 91-Sp 40 Se 68-Sp 55, NPV 90 | 69 T2DM, [46] | ||
BMI, T2DM, AST/ALT ratio | BARD score | 0.81 | 2–4 | NPV 96 | 827 NAFLD, [76] |
0.76 | < 2 | Se 76-Sp 61 | 7, 791 NAFLD, [77] | ||
Age, weight, glucose, AST, ALT, ferritin, PLT | FibroMeter | 0.94 | > 0.71 | Se 79-Sp 96, NPV 92 | 235 NAFLD, [85] |
0.81 | Se 88-Sp 93, NPV 92.7 | 938 NAFLD, [86] | |||
Age, weight, glucose, AST, ALT, ferritin, PLT, VCTE | Fibrometer VCTE | 0.86 | 0.32–0.69 | Se 85-Sp 92, NPV 90.7 | 938 NAFLD, [86] |
GGT, bilirubin, haptoglobin, ApoA1, alfa2 macroglobulin | FibroTest® | 0.81 | < 0.3 | NPV 90 | 170 NAFLD + 954 cp, [47] |
0.84 | > 0.7 | PPV 73 | 267 NAFLD, 429 ALD, 724 mixed, [87] | ||
0.85 | < 0.27 | 494 obese, [49] | |||
0.7 | 0.35 | Se 64-Sp 74, NPV 92 | 130 T2DM, [46] | ||
Age, sex, bilirubin, GGT, alfa2-macroglobulin, HA | Hepascore | 0.81 | > 0.37 | Se 75-Sp 84, NPV 92 | 242 NAFLD, [90] |
HA, PIIINP, TIMP-1 | ELF test | 0.9 | > 0.35 | Se 80-Sp 90, NPV 94 | 196 NAFLD, [92] |
0.83 | < 10.18 | Sp 90 | 11 studies (4, 452 NAFLD), [93] | ||
Age, T2DM, PLT, Pro-C3 | ADAPT | 0.87 | > 6.32 | PPV 48.4-NPV 96.6 | 150 + 281 NAFLD, [94] |
Age, BMI, PLT, T2DM | ABC3D | 0.88 | > 3 | Se 77-Sp 82, NPV 84 | 151 discovery cohort NAFLD, [ 95] |
0.81 | Se 66-Sp 75, NPV 80 | 298 validation cohort NAFLD, [95] | |||
TIMP-1, HA, alfa2 macroglobulin | 0.85 | 17 | Se 79-Sp 75, NPV 92 | 396 NAFLD, [96] | |
Type IV collagen S | 0.82 | > 177 | Se 77-Sp 84, NPV 84 | 148 NAFLD, [97] | |
Type IV collagen S, AST | CA index | 0.84–0.91 | 94 + 62 NAFLD, [98] | ||
Mac-2bp, Type IV collagen S | 0.83 | > 0.83 > 5.2 | Se 91-Sp 61, NPV 87 | 165 NAFLD, [100] | |
10 urinary steroid metabolites | GMLVQ analysis | 0.99–1 | 275 NAFLD, [147] | ||
SNP IFNL 4, HOMA-IR, GGT, AST, ALT, PLT | FibroGENE DT | 0.8 | NPV 96 | 488 NAFLD, [158] | |
GUT microbiome model | 0.936 | 86 NAFLD, [159] | |||
Inc RNAs + FIB-4 or TE | 0.89 | 88 + 50 NAFLD, [166] |
GMLVQ: generalized matrix learning vectors quantization; IncRNAs: including long non-coding RNAs; SNP IFNL 4: single nucleotide polymorphism interferon lamba 4; VCTE: vibration controlled transient elastography