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. 2021 Feb;41(2):261-270.
doi: 10.1111/liv.14669.

Prognostic accuracy of FIB-4, NAFLD fibrosis score and APRI for NAFLD-related events: A systematic review

Jenny Lee  1 , Yasaman Vali  1 , Jerome Boursier  2   3 , Rene Spijker  4   5 , Quentin M Anstee  6   7 , Patrick M Bossuyt  1 , Mohammad H Zafarmand  1
Affiliations

Prognostic accuracy of FIB-4, NAFLD fibrosis score and APRI for NAFLD-related events: A systematic review

Jenny Lee et al. Liver Int. 2021 Feb.

Abstract

Background & aims: Fibrosis is the strongest predictor for long-term clinical outcomes among patients with non-alcoholic fatty liver disease (NAFLD). There is growing interest in employing non-invasive methods for risk stratification based on prognosis. FIB-4, NFS and APRI are models commonly used for detecting fibrosis among NAFLD patients. We aimed to synthesize existing literature on the ability of these models in prognosticating NAFLD-related events.

Methods: A sensitive search was conducted in two medical databases to retrieve studies evaluating the prognostic accuracy of FIB-4, NFS and APRI among NAFLD patients. _target events were change in fibrosis, liver-related event and mortality. Two reviewers independently performed reference screening, data extraction and quality assessment (QUAPAS tool).

Results: A total of 13 studies (FIB-4:12, NFS: 11, APRI: 10), published between 2013 and 2019, were retrieved. All studies were conducted in a secondary or tertiary care setting, with follow-up ranging from 1 to 20 years. All three markers showed consistently good prognostication of liver-related events (AUC from 0.69 to 0.92). For mortality, FIB-4 (AUC of 0.67-0.82) and NFS (AUC of 0.70-0.83) outperformed APRI (AUC of 0.52-0.73) in all studies. All markers had inconsistent performance for predicting change in fibrosis stage.

Conclusions: FIB-4, NFS, and APRI have demonstrated ability to risk stratify patients for liver-related morbidity and mortality, with comparable performance to a liver biopsy, although more head-to-head studies are needed to validate this. More refined models to prognosticate NAFLD-events may further enhance performance and clinical utility of non-invasive markers.

Keywords: biomarker; non-alcoholic fatty liver disease; prognostic accuracy.

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Conflict of interest statement

QMA is coordinator of the IMI2 LITMUS consortium. He reports research grant funding from Abbvie, Allergan/Tobira, AstraZeneca, GlaxoSmithKline, Glympse Bio, Novartis Pharma AG, Pfizer Ltd., Vertex; consultancy on behalf of Newcastle University for Abbott Laboratories, Acuitas Medical, Allergan/Tobira, Blade, BNN Cardio, Cirius, CymaBay, EcoR1, E3Bio, Eli Lilly & Company Ltd., Galmed, Genfit SA, Gilead, Grunthal, HistoIndex, Indalo, Imperial Innovations, Intercept Pharma Europe Ltd., Inventiva, IQVIA, Janssen, Kenes, Madrigal, MedImmune, Metacrine, NewGene, NGMBio, North Sea Therapeutics, Novartis, Novo Nordisk A/S, Pfizer Ltd., Poxel, ProSciento, Raptor Pharma, Servier, Viking Therapeutics; and speaker fees from Abbott Laboratories, Allergan/Tobira, BMS, Clinical Care Options, Falk, Fishawack, Genfit SA, Gilead, Integritas Communications, MedScape.

Figures

FIGURE 1
FIGURE 1
Flow diagram of included studies
FIGURE 2
FIGURE 2
Graphical summary of the risk of bias and applicability concerns of the included studies using the QUAPAS tool
See this image and copyright information in PMC

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