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Diagnostic accuracy of non-invasive tests to screen for at-risk MASH-An individual participant data meta-analysisopen access

Authors
Mozes, Ferenc E.Lee, Jenny A.Vali, YasamanSelvaraj, Emmanuel A.Jayaswal, Arjun N. A.Boursier, Jeromede Ledinghen, VictorLupsor-Platon, MonicaYilmaz, YusufChan, Wah-KheongMahadeva, SanjivKarlas, ThomasWiegand, JohannesTsochatzis, EmmanouilLiguori, AntonioWong, Vincent Wai-SunLee, Dae HoHolleboom, Adriaan G.van Dijk, Anne-MariekeMak, Anne LindeHagstroem, HannesAkbari, CamillaHirooka, MasashiLee, Dong HyeonKim, WonOkanoue, TakeshiShima, ToshihideNakajima, AtsushiYoneda, MasatoThuluvath, Paul J.Li, FengBerzigotti, AnnalisaMendoza, Yuly P.Noureddin, MazenTruong, EmilyFournier-Poizat, CelineGeier, AndreasTuthill, TheresaYunis, CarlaAnstee, Quentin M.Harrison, Stephen A.Bossuyt, Patrick M.Pavlides, Michael
Issue Date
Aug-2024
Publisher
WILEY
Keywords
at-risk MASH; FAST; FIB-4; LSM-VCTE; MASH; NFS; non-invasive tests
Citation
LIVER INTERNATIONAL, v.44, no.8, pp 1872 - 1885
Pages
14
Journal Title
LIVER INTERNATIONAL
Volume
44
Number
8
Start Page
1872
End Page
1885
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/92173
DOI
10.1111/liv.15914
ISSN
1478-3223
1478-3231
Abstract
Background & Aims: There is a need to reduce the screen failure rate (SFR) in metabolic dysfunction-associated steatohepatitis (MASH) clinical trials (MASH+F2-3; MASH+F4) and identify people with high-risk MASH (MASH+F2-4) in clinical practice. We aimed to evaluate non-invasive tests (NITs) screening approaches for these target conditions. Methods: This was an individual participant data meta-analysis for the performance of NITs against liver biopsy for MASH+F2-4, MASH+F2-3 and MASH+F4. Index tests were the FibroScan-AST (FAST) score, liver stiffness measured using vibration-controlled transient elastography (LSM-VCTE), the fibrosis-4 score (FIB-4) and the NAFLD fibrosis score (NFS). Area under the receiver operating characteristics curve (AUROC) and thresholds including those that achieved 34% SFR were reported. Results: We included 2281 unique cases. The prevalence of MASH+F2-4, MASH+F2-3 and MASH+F4 was 31%, 24% and 7%, respectively. Area under the receiver operating characteristics curves for MASH+F2-4 were .78, .75, .68 and .57 for FAST, LSM-VCTE, FIB-4 and NFS. Area under the receiver operating characteristics curves for MASH+F2-3 were .73, .67, .60, .58 for FAST, LSM-VCTE, FIB-4 and NFS. Area under the receiver operating characteristics curves for MASH+F4 were .79, .84, .81, .76 for FAST, LSM-VCTE, FIB-4 and NFS. The sequential combination of FIB-4 and LSM-VCTE for the detection of MASH+F2-3 with threshold of .7 and 3.48, and 5.9 and 20 kPa achieved SFR of 67% and sensitivity of 60%, detecting 15 true positive cases from a theoretical group of 100 participants at the prevalence of 24%. Conclusions: Sequential combinations of NITs do not compromise diagnostic performance and may reduce resource utilisation through the need of fewer LSM-VCTE examinations.
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