Serum identification of at-risk MASH: The metabolomics-advanced steatohepatitis fibrosis score (MASEF)

Fecha de publicación: Fecha Ahead of Print:

Autores de IDIVAL

Autores ajenos al IDIVAL

  • Noureddin M
  • Truong E
  • Mayo R
  • Martínez-Arranz I
  • Mincholé I
  • Banales JM
  • Arrese M
  • Cusi K
  • Bruha R
  • Romero-Gómez M
  • Aller R
  • Ampuero J
  • Calleja JL
  • Ibañez-Samaniego L
  • Aspichueta P
  • Marín-Duce A
  • Kushner T
  • Ortiz P
  • Harrison SA
  • Anstee QM
  • Mato JM
  • Sanyal AJ

Unidades

Abstract

Background: Early identification of those with NAFLD activity score >= 4 and significant fibrosis (>= F2) or at-risk metabolic dysfunction-associated steatohepatitis (MASH) is a priority as these patients are at increased risk for disease progression and may benefit from therapies. We developed and validated a highly specific metabolomics-driven score to identify at-risk MASH. Methods: We included derivation (n = 790) and validation (n = 565) cohorts from international tertiary centers. Patients underwent laboratory assessment and liver biopsy for metabolic dysfunction-associated steatotic liver disease. Based on 12 lipids, body mass index, aspartate aminotransferase, and alanine aminotransferase, the MASEF score was developed to identify at-risk MASH and compared to the FibroScan-AST (FAST) score. We further compared the performance of a FIB-4 + MASEF algorithm to that of FIB-4 + liver stiffness measurements (LSM) by vibration-controlled transient elastography (VCTE). Results: The diagnostic performance of the MASEF score showed an area under the receiver-operating characteristic curve, sensitivity, specificity, and positive and negative predictive values of 0.76 (95% CI 0.72-0.79), 0.69, 0.74, 0.53, and 0.85 in the derivation cohort, and 0.79 (95% CI 0.75-0.83), 0.78, 0.65, 0.48, and 0.88 in the validation cohort, while FibroScan-AST performance in the validation cohort was 0.74 (95% CI 0.68-0.79; p = 0.064), 0.58, 0.79, 0.67, and 0.73, respectively. FIB-4 + MASEF showed similar overall performance compared with FIB-4 + LSM by VCTE (p = 0.69) to identify at-risk MASH. Conclusion: MASEF is a promising diagnostic tool for the assessment of at-risk MASH. It could be used alternatively to LSM by VCTE in the algorithm that is currently recommended by several guidance publications.

Datos de la publicación

ISSN/ISSNe:
0270-9139, 1527-3350

HEPATOLOGY  LIPPINCOTT WILLIAMS & WILKINS

Tipo:
Article
Páginas:
135-148
PubMed:
37505221

Citas Recibidas en Web of Science: 52

Documentos

  • No hay documentos

Métricas

Filiaciones mostrar / ocultar

Cita

Compartir