Diagnostic accuracy of non-invasive tests to screen for at-risk MASH-An individual participant data meta-analysis
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info:eu-repo/semantics/openAccessTarih
2024Yazar
Mozes, Ferenc E.Lee, Jenny A.
Vali, Yasaman
Selvaraj, Emmanuel A.
Jayaswal, Arjun N. A.
Boursier, Jerome
de Ledinghen, Victor
Lupsor-Platon, Monica
Yılmaz, Yusuf
Chan, Wah-Kheong
Mahadeva, Sanjiv
Karlas, Thomas
Wiegand, Johannes
Tsochatzis, Emmanouil
Liguori, Antonio
Wong, Vincent Wai-Sun
Lee, Dae Ho
Holleboom, Adriaan G.
van Dijk, Anne-Marieke
Mak, Anne Linde
Hagstroem, Hannes
Akbari, Camilla
Hirooka, Masash
Lee, Dong Hyeon
Kim, Won
Okanoue, Takeshi
Shima, Toshihide
Nakajima, Atsushi
Yoneda, Masato
Thuluvath, Paul J.
Li, Feng
Berzigotti, Annalisa
Mendoza, Yuly P.
Noureddin, Mazen
Truong, Emily
Fournier-Poizat, Celine
Geier, Andreas
Tuthill, Theresa
Yunis, Carla
Anstee, Quentin M.
Harrison, Stephen A.
Bossuyt, Patrick M.
Pavlides, Michael
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Mózes, F. E., Lee, J. A., Vali, Y., Selvaraj, E. A., Jayaswal, A. N. A., Boursier, J., de Lédinghen, V., Lupșor-Platon, M., Yilmaz, Y., Chan, W. K., Mahadeva, S., Karlas, T., Wiegand, J., Shalimar, Tsochatzis, E., Liguori, A., Wong, V. W., Lee, D. H., Holleboom, A. G., van Dijk, A. M., … Pavlides, M. (2024). Diagnostic accuracy of non-invasive tests to screen for at-risk MASH-An individual participant data meta-analysis. Liver international : official journal of the International Association for the Study of the Liver, 10.1111/liv.15914. Advance online publication. https://doi.org/10.1111/liv.15914Özet
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.