AGILE SCORES IN MASLD AND ALD: EXTERNAL VALIDATION AND THEIR UTILITY IN CLINICAL ALGORITHMS.

compensated advanced chronic liver disease diagnostic accuracy elastography fibroscan non-invasive test

Journal

Journal of hepatology
ISSN: 1600-0641
Titre abrégé: J Hepatol
Pays: Netherlands
ID NLM: 8503886

Informations de publication

Date de publication:
22 May 2024
Historique:
received: 29 09 2023
revised: 05 04 2024
accepted: 10 05 2024
medline: 25 5 2024
pubmed: 25 5 2024
entrez: 24 5 2024
Statut: aheadofprint

Résumé

Agile scores, including liver stiffness measurements (LSM) and routine clinical/laboratory biomarkers, have been developed for advanced fibrosis (F≥3) and cirrhosis, respectively, in patients with metabolic-associated steatotic liver disease (MASLD). We independently validated the diagnostic accuracy of these scores in MASLD, alcohol-related liver disease (ALD) and chronic hepatitis B or C (CHB/C) and assessed them in clinical algorithms with FIB-4 and LSM. We included 4,243 patients (MASLD:912, ALD:386, CHB:597, CHC:2348) with LSM, liver biopsy and laboratory tests within 6 months. FIB-4, Agile 3+ and Agile 4 scores were calculated. For F≥3, diagnostic accuracy of Agile 3+ and LSM were similar in MASLD (AUC: 0.86 vs 0.86, P=0.831) and ALD (0.92 vs 0.94, P=0.123). For cirrhosis, Agile 4 was similar to LSM in MASLD (0.89 vs 0.90, P=0.412) and ALD (0.94 vs 0.95, P=0.513). Agile 3+/4 performed worse than LSM in CHB/C. Using predefined dual thresholds of 90% Se/Sp, correct classification rates in MASLD were 66% vs 61% using Agile 3+ vs LS dual cut-offs and 71% vs 67% in ALD. When using Agile 3+ or LSM as a second step after FIB-4>1.3, correct classification rates were higher with Agile 3+ than LSM, both for MASLD (75% vs 71%) and for ALD patients (76% vs 72%) with fewer indeterminate results. Positive agreement of LSM and Agile 3+/4 significantly increased the specificity of a diagnosis of advanced fibrosis/cirrhosis. Agile 3+ and Agile 4 have equal diagnostic accuracy with LSM in both MASLD and ALD but result in fewer indeterminate results. Sequential use of FIB-4 and Agile 3+/4 or concurrent Agile 3+/4 and LSM can be used to further optimize F≥3 diagnosis.

Sections du résumé

BACKGROUND BACKGROUND
Agile scores, including liver stiffness measurements (LSM) and routine clinical/laboratory biomarkers, have been developed for advanced fibrosis (F≥3) and cirrhosis, respectively, in patients with metabolic-associated steatotic liver disease (MASLD). We independently validated the diagnostic accuracy of these scores in MASLD, alcohol-related liver disease (ALD) and chronic hepatitis B or C (CHB/C) and assessed them in clinical algorithms with FIB-4 and LSM.
METHODS METHODS
We included 4,243 patients (MASLD:912, ALD:386, CHB:597, CHC:2348) with LSM, liver biopsy and laboratory tests within 6 months. FIB-4, Agile 3+ and Agile 4 scores were calculated.
RESULTS RESULTS
For F≥3, diagnostic accuracy of Agile 3+ and LSM were similar in MASLD (AUC: 0.86 vs 0.86, P=0.831) and ALD (0.92 vs 0.94, P=0.123). For cirrhosis, Agile 4 was similar to LSM in MASLD (0.89 vs 0.90, P=0.412) and ALD (0.94 vs 0.95, P=0.513). Agile 3+/4 performed worse than LSM in CHB/C. Using predefined dual thresholds of 90% Se/Sp, correct classification rates in MASLD were 66% vs 61% using Agile 3+ vs LS dual cut-offs and 71% vs 67% in ALD. When using Agile 3+ or LSM as a second step after FIB-4>1.3, correct classification rates were higher with Agile 3+ than LSM, both for MASLD (75% vs 71%) and for ALD patients (76% vs 72%) with fewer indeterminate results. Positive agreement of LSM and Agile 3+/4 significantly increased the specificity of a diagnosis of advanced fibrosis/cirrhosis.
CONCLUSION CONCLUSIONS
Agile 3+ and Agile 4 have equal diagnostic accuracy with LSM in both MASLD and ALD but result in fewer indeterminate results. Sequential use of FIB-4 and Agile 3+/4 or concurrent Agile 3+/4 and LSM can be used to further optimize F≥3 diagnosis.

Identifiants

pubmed: 38789011
pii: S0168-8278(24)00356-8
doi: 10.1016/j.jhep.2024.05.021
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest Laurent Castera: lecture fees from Echosens, Gilead, Inventiva and Novo Nordisk; consultancy fees from Echosens, Novo Nordisk, Madrigal, MSD, Pfizer, Sagimet, and Siemens Healthineers. Victor Leidengen: Gilead, Abbvie, Echosens, Escopics, BMS, GSK, Janssen, Novo Nordisk, Orphalan, Alfasigma George Papatheodoridis: advisor/lecturer for Abbvie, Albireo, Amgen, Dicerna, Genesis Gilead, GlaxoSmithKline, Ipsen, Janssen, Merck Sharp & Dohme, Novo Nordisk, Roche and Takeda; research grants from Abbvie, Gilead and Takeda. Emmanuel Tsochatzis: advisor for NovoNordisk, Pfizer, Boehringer, Siemens Healthineers, speaker fees from Echosens, NovoNordisk, Dr Falk. The rest of the authors have no conflict of interest to declare.

Auteurs

Margarita Papatheodoridi (M)

Institute for Liver and Digestive Health, Royal Free Hospital and UCL, London, UK; Academic Department of Gastroenterology, Medical School of National and Kapodistrian University of Athens, Laiko General Hospital, Athens, Greece.

Victor De Ledinghen (V)

Hepatology Unit, CHU Bordeaux & INSERM U1312, Bordeaux University, Bordeaux, France.

Monica Lupsor-Platon (M)

Department of Medical Imaging, Regional Institute of Gastroenterology and Hepatology, Octavian Fodor", University of Medicine and Pharmacy "Iuliu Hatieganu" Cluj-Napoca, Romania.

Fabrizio Bronte (F)

Gastroenterology and Hepatology Unit, Department of Health Promotion Sciences Maternal and Infantile Care, Internal Medicine and Medical Specialities, Promise, University of Palermo, Italy.

Jerome Boursier (J)

Liver-Gastroenterology Department, University Hospital, Angers, France.

Omar Elshaarawy (O)

Center for Alcohol Research, University of Heidelberg, Germany; National Liver Institute, Menoufia University, Egypt; Institute of Systems, Molecular and Integrative Biology, University of Liverpool, UK.

Fabio Marra (F)

University of Florence, Department of Experimental and Clinical Medicine, Florence, Italy.

Maja Thiele (M)

Center for Liver Research, Department of Gastroenterology and Hepatology, Odense University Hospital, Denmark.

Georgios Markakis (G)

Academic Department of Gastroenterology, Medical School of National and Kapodistrian University of Athens, Laiko General Hospital, Athens, Greece.

Audrey Payance (A)

Service d'hépatologie, Hôpital Beaujon, Assistance Publique-Hôpitaux de Paris, Clichy, France.

Edgar Brodkin (E)

Institute for Liver and Digestive Health, Royal Free Hospital and UCL, London, UK.

Laurent Castera (L)

Service d'hépatologie, Hôpital Beaujon, Assistance Publique-Hôpitaux de Paris, Clichy, France; Université Paris-Cité, Inserm, Centre de recherche sur l'inflammation, UMR 1149, Paris, France.

George Papatheodoridis (G)

Academic Department of Gastroenterology, Medical School of National and Kapodistrian University of Athens, Laiko General Hospital, Athens, Greece.

Aleksander Krag (A)

Center for Liver Research, Department of Gastroenterology and Hepatology, Odense University Hospital, Denmark.

Umberto Arena (U)

University of Florence, Department of Experimental and Clinical Medicine, Florence, Italy.

Sebastian Mueller (S)

Center for Alcohol Research, University of Heidelberg, Germany.

Paul Cales (P)

Liver-Gastroenterology Department, University Hospital, Angers, France.

Vincenza Calvaruso (V)

Gastroenterology and Hepatology Unit, Department of Health Promotion Sciences Maternal and Infantile Care, Internal Medicine and Medical Specialities, Promise, University of Palermo, Italy.

Adele Delamarre (A)

Hepatology Unit, CHU Bordeaux & INSERM U1312, Bordeaux University, Bordeaux, France.

Massimo Pinzani (M)

Institute for Liver and Digestive Health, Royal Free Hospital and UCL, London, UK.

Emmanuel A Tsochatzis (EA)

Institute for Liver and Digestive Health, Royal Free Hospital and UCL, London, UK. Electronic address: e.tsochatzis@ucl.ac.uk.

Classifications MeSH