TY - JOUR
T1 - Diagnostic Accuracy of Noninvasive Fibrosis Models to Detect Change in Fibrosis Stage
AU - NASH CLINICAL RESEARCH NETWORK
AU - Siddiqui, Mohammad Shadab
AU - Yamada, Goro
AU - Vuppalanchi, Raj
AU - Van Natta, Mark
AU - Loomba, R.
AU - Guy, Cynthia
AU - Brandman, Danielle
AU - Tonascia, J.
AU - Chalasani, Naga
AU - Neuschwander-Tetri, B.
AU - Sanyal, Arun J.
AU - Allende, Daniela
AU - Dasarathy, Srinivasan
AU - McCullough, Arthur J.
AU - Penumatsa, Revathi
AU - Dasarathy, Jaividhya
AU - Lavine, Joel E.
AU - Abdelmalek, Manal F.
AU - Bashir, Mustafa
AU - Buie, Stephanie
AU - Diehl, Anna Mae
AU - Kigongo, Christopher
AU - Kopping, Mariko
AU - Malik, D.
AU - Piercy, Dawn
AU - Cummings, Oscar W.
AU - Gawrieh, S.
AU - Ragozzino, L.
AU - Sandrasegaran, K.
AU - Brunt, Elizabeth M.
AU - Cattoor, Theresa
AU - Carpenter, Danielle
AU - Freebersyser, J.
AU - King, D.
AU - Lai, Jinping
AU - Neuschwander-Tetri, Brent A.
AU - Siegner, Joan
AU - Stewart, S.
AU - Torretta, S.
AU - Wriston, Kristina
AU - Gonzalez, Maria Cardona
AU - Davila, J.
AU - Jhaveri, M.
AU - Kowdley, Kris V.
AU - Mukhtar, N.
AU - Clark, Jeanne M.
AU - Lazo, Mariana
AU - Sternberg, A.
AU - Wilson, Laura A.
AU - Yates, Katherine
N1 - Publisher Copyright:
© 2019 AGA Institute
PY - 2019/8
Y1 - 2019/8
N2 - Background & Aims: Noninvasive methods are needed to determine disease stage in patients with nonalcoholic fatty liver disease (NAFLD). We evaluated the diagnostic performance of several widely available fibrosis models for the assessment of hepatic fibrosis in patients with NAFLD. Methods: We performed a retrospective analysis of data from individuals enrolled in the NIDDK NASH Clinical Research Network, from 2004 through 2018. Using biopsy as the reference standard, we determined the diagnostic performance of the aspartate aminotransferase (AST):platelet ratio (APRI), FIB-4, ratio of AST:alanine aminotransferase (ALT) and the NAFLD fibrosis score (NFS) in a cross-sectional study of 1904 subjects. The ability of these models to detect changes in fibrosis stage was assessed in a longitudinal data set of 292 subjects with 2 biopsies and accompanying laboratory data. Outcomes were detection of fibrosis of any stage (stages 0–4), detection of moderate fibrosis (stages 0–1 vs 2–4), and detection of advanced fibrosis (stages 0–2 vs 3–4). Diagnostic performance was evaluated using the C-statistic, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) analyses. Results: In the cross-sectional study, FIB-4 and NFS outperformed other non-invasive models for detecting advanced fibrosis; the C-statistics were 0.80 for FIB-4 and 0.78 for NFS. In the longitudinal study, 216 patients had non-advanced fibrosis at baseline and 35 patients progressed to advanced fibrosis after median follow up of 2.6 years. After we adjusted for fibrosis stage and model score at initial biopsy, change in APRI, FIB-4, and NFS were significantly associated with change in fibrosis. A unit change in APRI, FIB-4, or NFS was associated with changes in fibrosis stage of 0.33 (95% CI, 0.20–0.45; P < .001), 0.26 (95% CI, 0.15–0.37; P < .001), and 0.19 (95% CI, 0.07–0.31; P = .002), respectively. The cross-validated C-statistic for detecting progression to advanced fibrosis for APRI was 0.82 (95% CI, 0.74–0.89), for FIB-4 was 0.81 (95% CI, 0.73–0.81), and for NFS was 0.80 (95% CI, 0.71–0.88). Conclusions: In a combined analysis of data from 2 large studies, we found that FIB-4, APRI, and NFS can detect advanced fibrosis and fibrosis progression in patients with NAFLD.
AB - Background & Aims: Noninvasive methods are needed to determine disease stage in patients with nonalcoholic fatty liver disease (NAFLD). We evaluated the diagnostic performance of several widely available fibrosis models for the assessment of hepatic fibrosis in patients with NAFLD. Methods: We performed a retrospective analysis of data from individuals enrolled in the NIDDK NASH Clinical Research Network, from 2004 through 2018. Using biopsy as the reference standard, we determined the diagnostic performance of the aspartate aminotransferase (AST):platelet ratio (APRI), FIB-4, ratio of AST:alanine aminotransferase (ALT) and the NAFLD fibrosis score (NFS) in a cross-sectional study of 1904 subjects. The ability of these models to detect changes in fibrosis stage was assessed in a longitudinal data set of 292 subjects with 2 biopsies and accompanying laboratory data. Outcomes were detection of fibrosis of any stage (stages 0–4), detection of moderate fibrosis (stages 0–1 vs 2–4), and detection of advanced fibrosis (stages 0–2 vs 3–4). Diagnostic performance was evaluated using the C-statistic, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) analyses. Results: In the cross-sectional study, FIB-4 and NFS outperformed other non-invasive models for detecting advanced fibrosis; the C-statistics were 0.80 for FIB-4 and 0.78 for NFS. In the longitudinal study, 216 patients had non-advanced fibrosis at baseline and 35 patients progressed to advanced fibrosis after median follow up of 2.6 years. After we adjusted for fibrosis stage and model score at initial biopsy, change in APRI, FIB-4, and NFS were significantly associated with change in fibrosis. A unit change in APRI, FIB-4, or NFS was associated with changes in fibrosis stage of 0.33 (95% CI, 0.20–0.45; P < .001), 0.26 (95% CI, 0.15–0.37; P < .001), and 0.19 (95% CI, 0.07–0.31; P = .002), respectively. The cross-validated C-statistic for detecting progression to advanced fibrosis for APRI was 0.82 (95% CI, 0.74–0.89), for FIB-4 was 0.81 (95% CI, 0.73–0.81), and for NFS was 0.80 (95% CI, 0.71–0.88). Conclusions: In a combined analysis of data from 2 large studies, we found that FIB-4, APRI, and NFS can detect advanced fibrosis and fibrosis progression in patients with NAFLD.
KW - Diagnostic
KW - Nonalcoholic Steatohepatitis
KW - Prognostic
KW - Scoring System Comparison
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U2 - 10.1016/j.cgh.2018.12.031
DO - 10.1016/j.cgh.2018.12.031
M3 - Article
C2 - 30616027
AN - SCOPUS:85064172605
SN - 1542-3565
VL - 17
SP - 1877-1885.e5
JO - Clinical Gastroenterology and Hepatology
JF - Clinical Gastroenterology and Hepatology
IS - 9
ER -