Identifying advanced MAFLD in a cohort of T2DM and clinical features

Ana Maria Sanchez-Bao1, Alfonso Soto-Gonzalez2, Manuel Delgado-Blanco3

  • 1Division of Endocrinology and Nutrition, Ferrol University Clinical Hospital, Ferrol, Spain.

Abstract

Insights

In patients with type 2 diabetes (T2DM), 10% risk advanced liver fibrosis. Non-invasive markers like NAFLD fibrosis score aid screening for MAFLD in T2DM patients.

Area of Science:

  • Hepatology
  • Endocrinology
  • Metabolic Syndrome

Background:

  • Metabolic-associated fatty liver disease (MAFLD) is the leading cause of chronic liver disease globally, impacting 25% of the population.
  • Patients with type 2 diabetes mellitus (T2DM) face a heightened risk of developing MAFLD, including advanced stages like steatohepatitis and fibrosis.
  • Early identification of T2DM patients with MAFLD is crucial for timely specialist referral and disease management.

Purpose of the Study:

  • To determine the prevalence of advanced liver fibrosis in a cohort of T2DM patients.
  • To identify potential predictors of advanced fibrosis in this population.

Main Methods:

  • A cohort of T2DM patients undergoing regular health check-ups were enrolled.
  • Demographic, metabolic parameters, and HOMA2-IR were assessed.
  • Four non-invasive fibrosis scores (NAFLD fibrosis score, FIB-4, APRI, Hepamet) were compared against transient elastography (TE).

Main Results:

  • 21% of patients showed risk of significant fibrosis (≥F2) by TE, with 10% at risk of advanced fibrosis (F3-F4).
  • Liver fibrosis correlated positively with BMI, waist circumference (AC), and HOMA2-IR.
  • APRI demonstrated the highest AUC (0.729), while the NAFLD fibrosis score showed the best positive likelihood ratio (LR+).

Conclusions:

  • Approximately 10% of T2DM patients in general follow-up are at risk for advanced liver fibrosis.
  • Non-invasive fibrosis markers are valuable screening tools, with the NAFLD fibrosis score showing superior LR+ compared to TE.
  • Further research is needed to validate these findings and optimize screening strategies for advanced MAFLD in T2DM patients.

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