Nonalcoholic fatty liver disease: use of diagnostic biomarkers and modalities in clinical practice

Saleh A. Alqahtani, Jörn M. Schattenberg

Research output: Contribution to journalReview articlepeer-review

Abstract

Introduction: The global burden of liver disease is increasing, and nonalcoholic fatty liver disease (NAFLD) is among the most common chronic liver diseases in Asia, Europe, North and South America. The field of noninvasive diagnostic and their role in staging, but also predicting outcome is evolving rapidly. There is a high-unmet need to stage patients with NAFLD and to identify the subset of patients at risk of progression to end-stage liver disease. Areas covered: The review covers all established diagnostic blood-based and imaging biomarkers to stage and grade NAFLD. Noninvasive surrogate scores are put into perspective of the available evidence and recommended use. The outlook includes genetics, combined algorithms, and artificial intelligence that will allow clinicians to guide and support the management in both early and later disease stages. Expert opinion: In the future, these diagnostics tests will help clinicians to establish patient care pathways and support the identification of relevant subgroups for monitoring and pharmacotherapy. In addition, researchers will be guided to better understand available scores and support the development of future prediction systems. These will likely include multiparametric aspects of the disease and machine learning algorithms will refine their use and integration with large datasets.

Original languageEnglish (US)
Pages (from-to)1065-1078
Number of pages14
JournalExpert Review of Molecular Diagnostics
Volume21
Issue number10
DOIs
StatePublished - 2021

Keywords

  • Noninvasive tests
  • advanced liver fibrosis
  • cirrhosis
  • diagnostic biomarker
  • liver disease
  • machine learning
  • nonalcoholic fatty liver disease
  • nonalcoholic steatohepatitis
  • test accuracy

ASJC Scopus subject areas

  • Genetics
  • Molecular Medicine
  • Molecular Biology
  • Pathology and Forensic Medicine

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