Magnetic resonance elastography plus Fibrosis‐4 versus FibroScan–aspartate aminotransferase in detection of candidates for pharmacological treatment of NASH‐related fibrosis

Background and Aims Patients with NAFLD with significant hepatic fibrosis (Stage ≥ 2) are at increased risk of liver‐related morbidity and are candidates for pharmacologic therapies. In this study, we compared the diagnostic accuracy of MEFIB (the combination of magnetic resonance elastography [MRE]...

Full description

Saved in:
Bibliographic Details
Published inHepatology (Baltimore, Md.) Vol. 75; no. 3; pp. 661 - 672
Main Authors Tamaki, Nobuharu, Imajo, Kento, Sharpton, Suzanne, Jung, Jinho, Kawamura, Nobuyoshi, Yoneda, Masato, Valasek, Mark A., Behling, Cynthia, Sirlin, Claude B., Nakajima, Atsushi, Loomba, Rohit
Format Journal Article
LanguageEnglish
Published United States Wiley Subscription Services, Inc 01.03.2022
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Background and Aims Patients with NAFLD with significant hepatic fibrosis (Stage ≥ 2) are at increased risk of liver‐related morbidity and are candidates for pharmacologic therapies. In this study, we compared the diagnostic accuracy of MEFIB (the combination of magnetic resonance elastography [MRE] and Fibrosis‐4 [FIB‐4]) and FAST (FibroScan–aspartate aminotransferase; combined liver stiffness measurement by vibration‐controlled transient elastography, controlled attenuation parameter, and aspartate aminotransferase) for detecting significant fibrosis. Approach and Results This prospective cohort study included 234 consecutive patients with NAFLD who underwent liver biopsy, MRE, and FibroScan at the University of California San Diego (UCSD cohort) and an independent cohort (N = 314) from Yokohama City University, Japan. The primary outcome was diagnostic accuracy for significant fibrosis (Stage ≥ 2). The proportions of significant fibrosis in the UCSD and Yokohama cohorts were 29.5% and 66.2%, respectively. Area under the receiver operating characteristic curve (95% CI) of MEFIB (0.860 [0.81–0.91]) was significantly higher than that of FAST (0.757 [0.69–0.82]) in the UCSD cohort (p = 0.005), with consistent results in the Yokohama cohort (AUROC, 0.899 [MEFIB] versus 0.724 [FAST]; p < 0.001). When used as the rule‐in criteria (MEFIB, MRE ≥ 3.3 kPa and FIB‐4 ≥ 1.6; FAST ≥ 0.67), the positive predictive value for significant fibrosis was 91.2%–96.0% for MEFIB and 74.2%–89.2% for FAST. When used as the rule‐out criteria (MEFIB, MRE < 3.3 kPa and FIB‐4 < 1.6; FAST ≤ 0.35), the negative predictive value for significant fibrosis was 85.6%–92.8% for MEFIB and 57.8%–88.3% for FAST. Conclusions MEFIB has higher diagnostic accuracy than FAST for significant fibrosis in NAFLD, and our results support the utility of a two‐step strategy for detecting significant fibrosis in NAFLD.
Bibliography:Funding information
Supported by the National Institute of Environmental Health Sciences (5P42ES010337), the National Center for Advancing Translational Sciences (5UL1TR001442), the Department of Defense’s Peer‐Reviewed Cancer Research Program (W81XWH‐18‐2‐0026), the National Institute of Diabetes and Digestive and Kidney Diseases (U01DK061734, R01DK106419, R01DK121378, R01DK124318, P30DK120515), the National Heart, Lung, and Blood Institute (P01HL147835), and the National Institute on Alcohol Abuse and Alcoholism (U01AA029019, all to R. L.) and by the Uehara Memorial Foundation (201940021, to N. T.).
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
AUTHOR CONTRIBUTIONS
Nobuharu Tamaki contributed to data analysis, data interpretation, drafting of the manuscript, critical revision of the manuscript, obtained funding, approved the final submission. Kento Imajo contributed to data acquisition, drafting of the manuscript, critical revision of the manuscript, approved the final submission. Suzanne Sharpton contributed to data acquisition, critical revision of the manuscript, approved the final submission. Jinho Jung contributed to data acquisition, critical revision of the manuscript, approved the final submission. Nobuyoshi Kawamura contributed to data acquisition, critical revision of the manuscript, approved the final submission. Masato Yoneda contributed to data acquisition, critical revision of the manuscript, approved the final submission. Mark A. Valasek contributed to data acquisition, critical revision of the manuscript, approved the final submission. Cynthia Behling contributed to data acquisition, critical revision of the manuscript, approved the final submission. Claude B. Sirlin contributed to data acquisition, critical revision of the manuscript, approved final submission. Atsushi Nakajima contributed to data acquisition, drafting of the manuscript, critical revision of the manuscript, approved the final submission. Rohit Loomba contributed to study concept and design, analysis, acquisition and interpretation of data, drafting of the manuscript, critical revision of the manuscript, obtained funding, study supervision, approved the final submission.
ISSN:0270-9139
1527-3350
DOI:10.1002/hep.32145