Diagnostic accuracy of non-invasive tests to screen for at-risk MASH-An individual participant data meta-analysis.
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BORIS DOI
Date of Publication
August 2024
Publication Type
Article
Division/Institute
Contributor
Mózes, Ferenc E | |
Lee, Jenny A | |
Vali, Yasaman | |
Selvaraj, Emmanuel A | |
Jayaswal, Arjun N A | |
Boursier, Jérôme | |
de Lédinghen, Victor | |
Lupșor-Platon, Monica | |
Yilmaz, Yusuf | |
Chan, Wah-Kheong | |
Mahadeva, Sanjiv | |
Karlas, Thomas | |
Wiegand, Johannes | |
Shalimar, Shalimar | |
Tsochatzis, Emmanouil | |
Liguori, Antonio | |
Wong, Vincent Wai-Sun | |
Lee, Dae Ho | |
Holleboom, Adriaan G | |
van Dijk, Anne-Marieke | |
Mak, Anne Linde | |
Hagström, Hannes | |
Akbari, Camilla | |
Hirooka, Masashi | |
Lee, Dong Hyeon | |
Kim, Won | |
Okanoue, Takeshi | |
Shima, Toshihide | |
Nakajima, Atsushi | |
Yoneda, Masato | |
Thuluvath, Paul J | |
Li, Feng | |
Noureddin, Mazen | |
Truong, Emily | |
Fournier-Poizat, Céline | |
Geier, Andreas | |
Tuthill, Theresa | |
Yunis, Carla | |
Anstee, Quentin M | |
Harrison, Stephen A | |
Bossuyt, Patrick M | |
Pavlides, Michael |
Subject(s)
Series
Liver international
ISSN or ISBN (if monograph)
1478-3231
Publisher
Wiley
Language
English
Publisher DOI
PubMed ID
38573034
Uncontrolled Keywords
Description
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.
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.
File(s)
| File | File Type | Format | Size | License | Publisher/Copright statement | Content | |
|---|---|---|---|---|---|---|---|
| Liver_International_-_2024_-_M_zes_-_Diagnostic_accuracy_of_non_invasive_tests_to_screen_for_at_risk_MASH_An_individual.pdf | text | Adobe PDF | 5.04 MB | published |