TY - JOUR
T1 - Diagnostic accuracy of non-invasive tests to screen for at-risk MASH—An individual participant data meta-analysis
AU - Mózes, Ferenc E.
AU - Lee, Jenny A.
AU - Vali, Yasaman
AU - Selvaraj, Emmanuel A.
AU - Jayaswal, Arjun N.A.
AU - Boursier, Jérôme
AU - de Lédinghen, Victor
AU - Lupșor-Platon, Monica
AU - Yilmaz, Yusuf
AU - Chan, Wah Kheong
AU - Mahadeva, Sanjiv
AU - Karlas, Thomas
AU - Wiegand, Johannes
AU - Shalimar,
AU - Tsochatzis, Emmanouil
AU - Liguori, Antonio
AU - Wong, Vincent Wai Sun
AU - Lee, Dae Ho
AU - Holleboom, Adriaan G.
AU - van Dijk, Anne Marieke
AU - Mak, Anne Linde
AU - Hagström, Hannes
AU - Akbari, Camilla
AU - Hirooka, Masashi
AU - Lee, Dong Hyeon
AU - Kim, Won
AU - Okanoue, Takeshi
AU - Shima, Toshihide
AU - Nakajima, Atsushi
AU - Yoneda, Masato
AU - Thuluvath, Paul J.
AU - Li, Feng
AU - Berzigotti, Annalisa
AU - Mendoza, Yuly P.
AU - Noureddin, Mazen
AU - Truong, Emily
AU - Fournier-Poizat, Céline
AU - Geier, Andreas
AU - Tuthill, Theresa
AU - Yunis, Carla
AU - Anstee, Quentin M.
AU - Harrison, Stephen A.
AU - Bossuyt, Patrick M.
AU - Pavlides, Michael
N1 - Publisher Copyright:
© 2024 The Authors. Liver International published by John Wiley & Sons Ltd.
PY - 2024/8
Y1 - 2024/8
N2 - 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.
AB - 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.
KW - FAST
KW - FIB-4
KW - LSM-VCTE
KW - MASH
KW - NFS
KW - at-risk MASH
KW - non-invasive tests
KW - Elasticity Imaging Techniques/methods
KW - Humans
KW - Non-alcoholic Fatty Liver Disease/diagnosis
KW - Liver/pathology
KW - Biopsy
KW - Liver Cirrhosis/diagnosis
KW - ROC Curve
KW - Mass Screening/methods
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U2 - 10.1111/liv.15914
DO - 10.1111/liv.15914
M3 - Article
C2 - 38573034
AN - SCOPUS:85189953074
SN - 1478-3223
VL - 44
SP - 1872
EP - 1885
JO - Liver International
JF - Liver International
IS - 8
ER -