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Background & Aims: Robust performance of non-invasive tests (NITs) across ages is critical to assess liver disease among patients with metabolic dysfunction-associated liver disease (MASLD). We evaluated the impact of age on the performance of NIS2+™ vs. other NITs., Methods: An analysis cohort (N = 1,926) with biopsy-proven MASLD was selected among individuals screened for the phase III RESOLVE-IT clinical trial and divided into ≤45, 46-55, 56-64, and ≥65 years groups. To avoid potential confounding effects, a well-balanced cohort (n = 708; n = 177/age group) was obtained by applying a propensity score-matching algorithm to the analysis cohort. Baseline values of biomarkers and NITs were compared across age groups using one-way ANOVA, and the impact of age and histology were compared through three-way ANOVA. The impact of age on NIT performance for the detection of at-risk metabolic dysfunction-associated steatohepatitis (MASH; MASLD activity score [MAS] ≥4 and fibrosis stage [F] ≥2) was also evaluated., Results: Age did not affect the distributions of NIS2+™ and APRI (aspartate aminotransferase-to-platelet ratio index), but significantly ( p <0.0001) impacted those of NFS (NAFLD fibrosis score), FIB-4 (Fibrosis-4 index), and Enhanced Liver Fibrosis (ELF™) score. NIS2+™ was the only NIT on which fibrosis and MAS exerted a moderate to large effect. While the impact of fibrosis on APRI was moderate, that of MAS was low. The impact of age on FIB-4 and NFS was larger than that of fibrosis. NIS2+™ exhibited the highest AUROC values for detecting at-risk MASH across age groups, with stable performances irrespective of cut-offs., Conclusions: NIS2+™ was not significantly impacted by age and was sensitive to both fibrosis and MAS grade, demonstrating a robust performance to rule in/out at-risk MASH with fixed cut-offs., Impact and Implications: While metabolic dysfunction-associated steatotic liver disease (MASLD) can affect individuals of all ages, patient age could represent an important confounding factor when interpreting non-invasive test (NIT) results, highlighting the need for reliable and efficient NITs that are not impacted by age and that could be interpreted with fixed cut-offs, irrespective of patient age. We report the impact of age on different well-established NITs - among those tested, only two panels, NIS2+™ and APRI, were not impacted by age and can be used and interpreted independently of patient age. NIS2+™ was also sensitive to both fibrosis and MAS, further confirming its efficiency for the detection of the composite endpoint of at-risk MASH and its potential as a valuable candidate for large-scale implementation in clinical practice and clinical trials., Competing Interests: QMA: research support from LITMUS (Liver Investigation: Testing Marker Utility in Steatohepatitis) consortium funded by the Innovative Medicines Initiative Program of the European Union under Grant Agreement 777377 (this multistakeholder consortium includes industry partners and received funding from EFPIA); grants or contracts from AstraZeneca, Boehringer Ingelheim, and Intercept Pharmaceuticals; royalties or licenses from Elsevier Ltd.; consulting fees (on behalf of Newcastle University) from Alimentiv, Akero Therapeutics, Inc., AstraZeneca, Axcella Health, Inc., 89bio, Inc., Boehringer Ingelheim, Bristol Myers Squibb, Galmed Pharmaceuticals, Genfit S.A., Genentech, Gilead Sciences Inc., GlaxoSmithKline, Hanmi, HistoIndex Pte Ltd., Intercept Pharmaceuticals, Inventiva, Ionis, IQVIA, Janssen, Madrigal Pharmaceuticals, Medpace, Merck, NGM Biopharmaceuticals, Novartis Pharmaceuticals, Novo Nordisk, PathAI, Pfizer, Prosciento, Poxel S.A., Resolution Therapeutics, Roche, Ridgeline Therapeutics, RTI, Shionogi, and Terns Pharmaceuticals; payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Fishawack, Integritas Communications, Kenes, Novo Nordisk, Madrigal Pharmaceuticals, Medscape, and Springer Healthcare; served on advisory boards or data safety monitoring boards (on behalf of Newcastle University) for Medpace (NorthSea Therapeutics B.V., DSMB). BS: consulting fees from Genfit S.A. MAC: Labcorp employee. RL: grants/funding support from the National Center for Advancing Translational Sciences, the National Institute of Diabetes and Digestive and Kidney Diseases, the National Heart, Lung, and Blood Institute, Arrowhead Pharmaceuticals, AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Galectin Therapeutics, Inc., Galmed Pharmaceuticals, Gilead Sciences, Inc., Hanmi, Intercept Pharmaceuticals, Inventiva, Ionis, Janssen, Madrigal Pharmaceuticals, Merck, NGM Biopharmaceuticals, Novo Nordisk, Pfizer, Sonic Incytes, and Terns Pharmaceuticals; consulting fees from Aardvark Therapeutics, Altimmune, Anylam/Regeneron, Amgen, Arrowhead Pharmaceuticals, AstraZeneca, Bristol Myers Squibb, CohBar, Inc., Eli Lilly, Galmed Pharmaceuticals, Gilead Sciences, Inc., Glympse Bio, HighTide Therapeutics, Ini Pharma, Intercept Pharmaceuticals, Intercept Pharmaceuticals, Ionis, Janssen, Madrigal Pharmaceuticals, Metacrine, NGM Biopharmaceuticals, Novartis Pharmaceuticals, Novo Nordisk, Merck, Pfizer, Sagimet Biosciences, Theratechnologies, Inc., 89bio, Inc., Terns Pharmaceuticals, and Viking Therapeutics; other financial interests: LipoNexus, Inc. (co-founder). SAH: grants or contracts from Akero Therapeutics, Alentis Therapeutics, Altimmune, B. Riley FBR, ChronWell, Corcept Therapeutics, Echosens, Axcella Health, Cirius Therapeutics, CiVi Biopharma, Cymabay Therapeutics, Inc., Enyo Pharma S.A., Galectin Therapeutics, Inc., Galmed Research & Development, Ltd., Genfit S.A., Gilead Sciences, Inc., Hepion Pharmaceuticals, Inc., Hepta Bio, HighTide Therapeutics, Inc, HistoIndex, Intercept Pharmaceuticals, Ionis, Madrigal Pharmaceuticals, Medpace, NGM Biopharmaceuticals, Inc., NeuroBo, NorthSea Therapeutics B.V., Novartis Pharmaceuticals, Novo Nordisk, Path AI, Perspectum, Poxel S.A., Sagimet Biosciences, Sonic Incytes, Terns Pharmaceuticals, and Viking Therapeutics; stock or stock options for Akero Therapeutics, ChronWell, Cirius Therapeutics, Galectin Therapeutics, Inc., Genfit S.A., Hepion Pharmaceuticals, Inc., HistoIndex Pte Ltd., Metacrine, NGM Biopharmaceuticals, Inc., NorthSea Therapeutics B.V. VR: grants or contracts from Intercept Pharmaceuticals, and Gilead Sciences, Inc.; consulting fees from Boehringer Ingelheim, Novo Nordisk, Poxel S.A., Enyo Pharma S.A., Madrigal Pharmaceuticals, Terns Pharmaceuticals, Intercept Pharmaceuticals, NGM Biopharmaceuticals Inc., and Pfizer. AJS: stock options in Genfit S.A., Tiziana, Indalo, Durect, Inversago, and Galmed Pharmaceuticals; consultant to AstraZeneca, Salix, Tobira, Takeda, Jannsen, Gilead Sciences, Inc., Terns Pharmaceuticals, Merck, Madrigal Pharmaceuticals, NGM Biopharmaceuticals, Inc., Sagimet Biosciences, Valeant, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Hemoshear, Novartis Pharmaceuticals, Inventiva, Enyo, Akero Therapeutics, 89bio, Inc., Novo Nordisk, Pfizer, Amgen, Genentech, Regeneron, Alnylam, Hanmi, LG Chem, Histoindex, Thera Technologies, Intercept Pharmaceuticals, Target-RWE, Surrozen, Zydus, Path AI, Exhalenz, and Genfit S.A.; his institution has received grant support from Gilead Sciences, Inc., Salix, Tobira, Bristol Myers Squibb, Pfizer, Intercept Pharmaceuticals, Merck, AstraZeneca, Mallinckrodt, and Novartis Pharmaceuticals; royalties received from Elsevier and UpToDate. JM, YH, AC, ZM, CR, and DWH: stock or stock options from Genfit S.A. and serve as Genfit S.A. employees. Please refer to the accompanying ICMJE disclosure forms for further details., (© 2024 The Author(s).)

Background: Non-invasive tests that can identify patients with non-alcoholic steatohepatitis (NASH) at higher risk of disease progression are lacking. We report the development and validation of a blood-based diagnostic test to non-invasively rule in and rule out at-risk NASH (defined as non-alcoholic fatty liver disease [NAFLD] activity score [NAS] ≥4 and fibrosis stage ≥2)., Methods: In this prospective derivation and global validation study, blood samples, clinical data, and liver biopsy results from three independent cohorts with suspected NAFLD were used to develop and validate a non-invasive blood-based diagnostic test, called NIS4. Derivation was done in the discovery cohort, which comprised 239 prospectively recruited patients with biopsy-confirmed NASH (NAFLD NAS ≥3; fibrosis stage 0-3) from the international GOLDEN-505 phase 2b clinical trial. A complete matrix based on 23 variables selected for univariate association with the presence of at-risk NASH and avoiding high multi-collinearity was used to derive the model in a bootstrap-based process that minimised the Akaike information criterion. The overall diagnostic performance of NIS4 was externally validated in two independent cohorts: RESOLVE-IT diag and Angers. The RESOLVE-IT diag cohort comprised the first 475 patients screened for potential inclusion into the RESOLVE-IT phase 3 clinical trial. Angers was a retrospective cohort of 227 prospectively recruited patients with suspected NAFLD and clinical risk factors for NASH or fibrosis stage 2 or more according to abnormal elastography results or abnormal liver biochemistry. Both external validation cohorts were independently analysed and were combined into a pooled validation cohort (n=702) to assess clinical performance of NIS4 and other non-invasive tests., Findings: The derived NIS4 algorithm comprised four independent NASH-associated biomarkers (miR-34a-5p, alpha-2 macroglobulin, YKL-40, and glycated haemoglobin; area under the receiver operating characteristics curve [AUROC] 0·80, 95% CI 0·73-0·85), and did not require adjustment for age, sex, body-mass index (BMI), or aminotransferase concentrations. Clinical cutoffs were established within the discovery cohort to optimise both rule out and rule in clinical performance while minimising indeterminate results. NIS4 was validated in the RESOLVE-IT diag cohort (AUROC 0·83, 95% CI 0·79-0·86) and the Angers cohort (0·76, 0·69-0·82). In the pooled validation cohort, patients with a NIS4 value less than 0·36 were classified as not having at-risk NASH (ruled out) with 81·5% (95% CI 76·9-85·3) sensitivity, 63·0% (57·8-68·0) specificity, and a negative predictive value of 77·9% (72·5-82·4), whereas those with a NIS4 value of more than 0·63 were classified as having at-risk NASH (ruled in) with 87·1% (83·1-90·3) specificity, 50·7% (45·3-56·1) sensitivity, and a positive predictive value of 79·2% (73·1-84·2). The diagnostic performance of NIS4 within the external validation cohorts was not influenced by age, sex, BMI, or aminotransferase concentrations., Interpretation: NIS4 is a novel blood-based diagnostic that provides an effective way to non-invasively rule in or rule out at-risk NASH in patients with metabolic risk factors and suspected disease. Use of NIS4 in clinical trials or in the clinic has the potential to greatly reduce unnecessary liver biopsies in patients with lower risk of disease progression., Funding: Genfit., (Copyright © 2020 Elsevier Ltd. All rights reserved.)