Diagnostic accuracy of AGILE3+ score for advanced fibrosis in patients with non-alcoholic fatty liver disease: A systematic review and meta-analysis.


Journal

Hepatology (Baltimore, Md.)
ISSN: 1527-3350
Titre abrégé: Hepatology
Pays: United States
ID NLM: 8302946

Informations de publication

Date de publication:
17 Nov 2023
Historique:
received: 17 08 2023
accepted: 05 11 2023
medline: 17 11 2023
pubmed: 17 11 2023
entrez: 17 11 2023
Statut: aheadofprint

Résumé

A simple non-invasive score, the Agile3+ score, combining liver stiffness measurement (LSM), aspartate aminotransferase/alanine aminotransferase ratio, platelet count, diabetes status, sex, and age, has been proposed for identification of advanced fibrosis in patients with suspected non-alcoholic fatty liver disease (NAFLD). We performed a systematic review and meta-analysis of observational studies to evaluate the diagnostic accuracy of the Agile 3+ score in identifying patients with NAFLD and advanced fibrosis. Recently, an International consensus changed the nomenclature of NAFLD into metabolic-associated steatotic liver disease (MASLD), so currently, the two terms are interchangeable. We systematically searched MEDLINE, Ovid Embase, Scopus, and Cochrane Library electronic databases for full-text published articles in any language from the inception to the 24th of April 2023. We included original articles reporting data on the sensitivity and specificity of the Agile 3+ score, according to previously described rule-out (≤0.451) and rule-in (≥0.679) cut-offs. We included 6 observational studies (total 6955 participants) with biopsy-proven NAFLD (mean age 53 [SE 4] years, mean BMI 30.9 [SE 2.3] Kg/m2, 54.0% men, prevalence of diabetes 59.6%). The pooled prevalence of advanced fibrosis (≥F3) was 42.1%. By the rule-out cut-off, the overall sensitivity and specificity were 88% (95%CI 81-93%; I2=89.2%) and 65% (95%CI 54-75%; I2=97.6%), respectively. By the rule-in cut-off, the overall sensitivity and specificity were 68% (95%CI 57-78%; I2=91.1%) and 87% (95%CI 80-92%; I2=96.7%), respectively. Meta-regression analyses reported that the diagnostic accuracy was partly mediated by age (p<0.01), BMI (p<0.01), and, although not statistically significant, sex (p=0.06). Our systematic review and meta-analysis suggest that Agile3+ accurately diagnoses NAFLD with advanced fibrosis and can identify patients eligible for biopsy and emerging pharmacotherapies.

Sections du résumé

BACKGROUND AND AIMS OBJECTIVE
A simple non-invasive score, the Agile3+ score, combining liver stiffness measurement (LSM), aspartate aminotransferase/alanine aminotransferase ratio, platelet count, diabetes status, sex, and age, has been proposed for identification of advanced fibrosis in patients with suspected non-alcoholic fatty liver disease (NAFLD). We performed a systematic review and meta-analysis of observational studies to evaluate the diagnostic accuracy of the Agile 3+ score in identifying patients with NAFLD and advanced fibrosis. Recently, an International consensus changed the nomenclature of NAFLD into metabolic-associated steatotic liver disease (MASLD), so currently, the two terms are interchangeable.
METHODS METHODS
We systematically searched MEDLINE, Ovid Embase, Scopus, and Cochrane Library electronic databases for full-text published articles in any language from the inception to the 24th of April 2023. We included original articles reporting data on the sensitivity and specificity of the Agile 3+ score, according to previously described rule-out (≤0.451) and rule-in (≥0.679) cut-offs.
RESULTS RESULTS
We included 6 observational studies (total 6955 participants) with biopsy-proven NAFLD (mean age 53 [SE 4] years, mean BMI 30.9 [SE 2.3] Kg/m2, 54.0% men, prevalence of diabetes 59.6%). The pooled prevalence of advanced fibrosis (≥F3) was 42.1%. By the rule-out cut-off, the overall sensitivity and specificity were 88% (95%CI 81-93%; I2=89.2%) and 65% (95%CI 54-75%; I2=97.6%), respectively. By the rule-in cut-off, the overall sensitivity and specificity were 68% (95%CI 57-78%; I2=91.1%) and 87% (95%CI 80-92%; I2=96.7%), respectively. Meta-regression analyses reported that the diagnostic accuracy was partly mediated by age (p<0.01), BMI (p<0.01), and, although not statistically significant, sex (p=0.06).
CONCLUSION CONCLUSIONS
Our systematic review and meta-analysis suggest that Agile3+ accurately diagnoses NAFLD with advanced fibrosis and can identify patients eligible for biopsy and emerging pharmacotherapies.

Identifiants

pubmed: 37976417
doi: 10.1097/HEP.0000000000000694
pii: 01515467-990000000-00657
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 American Association for the Study of Liver Diseases.

Auteurs

Andrea Dalbeni (A)

Section of General Medicine C, Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy.
Liver Unit, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy.

Rosa Lombardi (R)

SC-Medicina Indirizzo Metabolico, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico of Milan, Department of Pathophysiology and Transplantation , University of Milan, Italy.

Matteus Henrique (M)

Department of Internal Medicine, Federal University of Rio de Janeiro, Brazil.

Mirko Zoncapè (M)

Liver Unit, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy.

Grazia Pennisi (G)

Sezione di Gastroenterologia, PROMISE, University of Palermo, Italy.

Salvatore Petta (S)

Sezione di Gastroenterologia, PROMISE, University of Palermo, Italy.

Ryosuke Tateishi (R)

Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.

Caglayan Keklikkiran (C)

Department of Gastroenterology, School of Medicine, Recep Tayyip Erdoğan University, Rize, Turkey.

Antonio Colecchia (A)

Gastroenterology Unit, Department of Specialistic Medicines, University of Modena & Reggio Emilia, University Hospital of Modena and Reggio Emilia, Largo del Pozzo 71, 41125 Modena, Italy.

David Sacerdoti (D)

Liver Unit, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy.

Alessandro Mantovani (A)

Section of Endocrinology, Diabetes and Metabolism, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy.

Federico Ravaioli (F)

Gastroenterology Unit, Department of Specialistic Medicines, University of Modena & Reggio Emilia, University Hospital of Modena and Reggio Emilia, Largo del Pozzo 71, 41125 Modena, Italy.
Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.

Classifications MeSH