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Practical diagnosis of cirrhosis in non-alcoholic fatty liver disease using currently available non-invasive fibrosis tests

Author

Listed:
  • Jérôme Boursier

    (Angers University Hospital
    Angers University)

  • Marine Roux

    (Angers University)

  • Charlotte Costentin

    (Clinique Universitaire d’Hépato-gastroentérologie, CHU Grenoble Alpes
    CNRS UMR 5309-INSERM U1209)

  • Julien Chaigneau

    (Angers University)

  • Céline Fournier-Poizat

    (Echosens)

  • Aldo Trylesinski

    (AdvanzPharma)

  • Clémence M. Canivet

    (Angers University Hospital
    Angers University)

  • Sophie Michalak

    (Angers University
    Angers University Hospital)

  • Brigitte Bail

    (Bordeaux University Hospital
    INSERM, Université de Bordeaux)

  • Valérie Paradis

    (Beaujon Hospital Paris Diderot University)

  • Pierre Bedossa

    (Beaujon Hospital Paris Diderot University
    Liverpat)

  • Nathalie Sturm

    (CHU Grenoble Alpes)

  • Victor Ledinghen

    (INSERM, Université de Bordeaux
    Bordeaux University Hospital)

  • Philip N. Newsome

    (Birmingham Biomedical Research Centre at University Hospitals Birmingham NHS Foundation Trust
    University of Birmingham
    Liver Unit, University Hospitals Birmingham NHS Foundation Trust)

Abstract

Unlike for advanced liver fibrosis, the practical rules for the early non-invasive diagnosis of cirrhosis in NAFLD remain not well defined. Here, we report the derivation and validation of a stepwise diagnostic algorithm in 1568 patients with NAFLD and liver biopsy coming from four independent cohorts. The study algorithm, using first the elastography-based tests Agile3+ and Agile4 and then the specialized blood tests FibroMeterV3G and CirrhoMeterV3G, provides stratification in four groups, the last of which is enriched in cirrhosis (71% prevalence in the validation set). A risk prediction chart is also derived to allow estimation of the individual probability of cirrhosis. The predicted risk shows excellent calibration in the validation set, and mean difference with perfect prediction is only −2.9%. These tools improve the personalized non-invasive diagnosis of cirrhosis in NAFLD.

Suggested Citation

  • Jérôme Boursier & Marine Roux & Charlotte Costentin & Julien Chaigneau & Céline Fournier-Poizat & Aldo Trylesinski & Clémence M. Canivet & Sophie Michalak & Brigitte Bail & Valérie Paradis & Pierre Be, 2023. "Practical diagnosis of cirrhosis in non-alcoholic fatty liver disease using currently available non-invasive fibrosis tests," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40328-4
    DOI: 10.1038/s41467-023-40328-4
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    Cited by:

    1. Jiahao Gao & Ya Wang & Xianfu Meng & Xiaoshuang Wang & Fang Han & Hao Xing & Guanglei Lv & Li Zhang & Shiman Wu & Xingwu Jiang & Zhenwei Yao & Xiangming Fang & Jiawen Zhang & Wenbo Bu, 2024. "A FAPα-activated MRI nanoprobe for precise grading diagnosis of clinical liver fibrosis," Nature Communications, Nature, vol. 15(1), pages 1-14, December.

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