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Noninvasive Risk Stratification After HCV Eradication in Patients With Advanced Chronic Liver Disease.

Georg SemmlerTeresa BinterKarin KozbialPhilipp SchwablStefanie Hametner-SchreilAlberto ZanettoSabrina GavassoDavid ChromyDavid Josef Maria BauerBenedikt SimbrunnerBernhard ScheinerTheresa A BucsicsAlbert F StättermayerMatthias PinterPetra Steindl-MundaRainer SchöflFrancesco Paolo RussoPaolo SimioniMichael TraunerPeter FerenciThomas ReibergerMattias Mandorfer
Published in: Hepatology (Baltimore, Md.) (2021)
FU-LSM/FU-VITRO are strongly and independently predictive of posttreatment hepatic decompensation in HCV-induced ACLD. An algorithm combining these noninvasive markers not only rules in or rules out FU-CSPH, but also identifies populations at negligible versus high risk for hepatic decompensation. FU-LSM/FU-VITRO are readily accessible and enable risk stratification after sustained virological response, and thus facilitate personalized management.
Keyphrases
  • hepatitis c virus
  • machine learning
  • human immunodeficiency virus
  • high glucose
  • deep learning
  • oxidative stress
  • helicobacter pylori infection
  • dna methylation
  • endothelial cells