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

Jérôme BoursierMarine RouxCharlotte CostentinJulien ChaigneauCéline Fournier-PoizatAldo TrylesinskiClémence M CanivetSophie MichalakBrigitte Le BailValérie ParadisPierre BedossaNathalie SturmVictor de Ledinghennull nullnull nullPhilip Noel Newsome
Published in: Nature communications (2023)
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 FibroMeter V3G and CirrhoMeter V3G , 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.
Keyphrases
  • liver fibrosis
  • machine learning
  • palliative care
  • risk factors
  • ultrasound guided
  • low cost
  • breast cancer risk