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Noninvasive Algorithms for the Case Finding of “At-Risk” Patients with NAFLD

Abstract : Despite the high prevalence of non-alcoholic fatty liver disease (NAFLD) in primary care (25%), only a small minority (< 5%) of NAFLD patients will develop advanced liver fibrosis. The challenge is to identify these patients, who are at the greatest risk of developing complications and need to be referred to liver clinics for specialized management. The focus should change from patients with abnormal liver tests toward patients “at risk of NAFLD,” namely those with metabolic risk factors, such as obesity and type 2 diabetes. Non-invasive tests are well validated for diagnosing advanced fibrosis. Algorithms using FIB-4 as the first-line test, followed, if positive (≥ 1.3), by transient elastography or a patented blood test are the best strategy to define pathways for “at-risk” NAFLD patients from primary care to liver clinics. Involving general practitioners actively and raising their awareness regarding NAFLD and non-invasive tests are critical to establish such pathways.
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https://hal.univ-angers.fr/hal-03789207
Contributeur : Véronique BOURGEAIS Connectez-vous pour contacter le contributeur
Soumis le : mardi 27 septembre 2022 - 11:53:59
Dernière modification le : mercredi 28 septembre 2022 - 03:58:23

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Laurent Castera, Jérôme Boursier. Noninvasive Algorithms for the Case Finding of “At-Risk” Patients with NAFLD. Seminars in Liver Disease, 2022, 42 (03), pp.313-326. ⟨10.1055/s-0042-1751081⟩. ⟨hal-03789207⟩

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