Browse by author
Lookup NU author(s): Professor Quentin AnsteeORCiD, Professor Arun Sanyal
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
© 2023 The AuthorsBackground & Aims: Strategies to reduce liver biopsy (LB) screen failures through better patient selection are needed for clinical trials. Standard fibrosis biomarkers were not derived to detect “at-risk” metabolic dysfunction-associated steatohepatitis (MASH; MASH with metabolic dysfunction-associated steatotic liver disease score ≥4 and fibrosis stage ≥2). We compared the performance of screening pathways that incorporate NIS2+™, an optimized version of the blood-based NIS4® technology designed to identify at-risk MASH, with those incorporating fibrosis (FIB)-4 within the RESOLVE-IT clinical trial (NCT02704403), aiming for optimized selection of patients for LB. Methods: A retrospective simulation analysis was conducted in the RESOLVE-IT screening pathway (RSP) cohort. LB failure rate (LBFR), number of patients needed to screen, and overall cost estimations of different pathways were calculated for a range of NIS2+™ and FIB-4 cut-offs and compared with those of the RSP, which relied on investigators’ local practices. An analysis of potential recruitment bias based on histology, sex, age, or comorbidities was performed. Results: The analysis cohort included 1,929 patients, 765 (40%) with at-risk MASH. The NIS2+™ pathway resulted in a significantly lower LBFR (39%) compared with the FIB-4 pathway (58%) or the RSP (60%) when using cost-optimized cut-offs (NIS2+™, 0.53; FIB-4, 0.58). For every 1,000 inclusions, NIS2+™ significantly reduced unnecessary LBs (632 vs. 1,522; -58%) and screening costs (US$12.7 million vs. US$15.0 million) vs. the RSP, while the number of patients needed to screen increased moderately (3,220 to 4,033). NIS2+™ alone is better than FIB-4 alone or combined with FIB-4. Conclusions: This analysis demonstrated that patient selection for LB using NIS2+™ significantly reduced unnecessary biopsies and screening costs, which could greatly improve the feasibility of MASH clinical trials. Impact and implications: Simple and accurate non-invasive strategies to optimize the selection of patients who should be referred for liver biopsy for inclusion in MASH clinical trials is critical to reduce the high liver biopsy failure rates. While the use of the Fibrosis-4 index alone did not lead to a significant improvement of the screening process, selecting patients using NIS2+™, a recently developed optimization of the NIS4® technology for the detection of at-risk MASH, showed improved performance by simultaneously reducing liver biopsy failure rates and the overall cost of the trial, while maintaining the number of patients needed to screen at a manageable level and not generating any bias in included patients’ characteristics. This makes NIS2+™ an accurate and reliable screening tool that could improve the recruitment of patients in future MASH clinical trials, and would lead to increased patient comfort and security, ensuring timely and cost-efficient trial completion.
Author(s): Ratziu V, Harrison SA, Hajji Y, Magnanensi J, Petit S, Majd Z, Delecroix E, Rosenquist C, Hum D, Staels B, Anstee QM, Sanyal AJ
Publication type: Article
Publication status: Published
Journal: Journal of Hepatology
Year: 2024
Pages: epub ahead of print
Online publication date: 05/12/2023
Acceptance date: 23/10/2023
ISSN (print): 0168-8278
ISSN (electronic): 1600-0641
Publisher: Elsevier B.V.
URL: https://doi.org/10.1016/j.jhep.2023.10.038
DOI: 10.1016/j.jhep.2023.10.038
PubMed id: 38061448
Altmetrics provided by Altmetric
