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Obesity Modifies the Performance of Fibrosis Biomarkers in Nonalcoholic Fatty Liver Disease

Authors :
Qadri, Sami
Ahlholm, Noora
Lonsmann, Ida
Pellegrini, Paola
Poikola, Anni
Luukkonen, Panu K.
Porthan, Kimmo
Juuti, Anne
Sammalkorpi, Henna
Penttilä, Anne K.
D´Ambrosio, Roberta
Soardo, Giorgio
Leeming, Diana J.
Karsdal, Morten
Arola, Johanna
Kechagias, Stergios
Pelusi, Serena
Ekstedt, Mattias
Valenti, Luca
Hagström, Hannes
Yki-Järvinen, Hannele
Qadri, Sami
Ahlholm, Noora
Lonsmann, Ida
Pellegrini, Paola
Poikola, Anni
Luukkonen, Panu K.
Porthan, Kimmo
Juuti, Anne
Sammalkorpi, Henna
Penttilä, Anne K.
D´Ambrosio, Roberta
Soardo, Giorgio
Leeming, Diana J.
Karsdal, Morten
Arola, Johanna
Kechagias, Stergios
Pelusi, Serena
Ekstedt, Mattias
Valenti, Luca
Hagström, Hannes
Yki-Järvinen, Hannele
Publication Year :
2022

Abstract

Context: Guidelines recommend blood-based fibrosis biomarkers to identify advanced nonalcoholic fatty liver disease (NAFLD), which is particularly prevalent in patients with obesity. Objective: To study whether the degree of obesity affects the performance of liver fibrosis biomarkers in NAFLD. Design: Cross-sectional cohort study comparing simple fibrosis scores [Fibrosis-4 Index (FIB-4); NAFLD Fibrosis Score (NFS); aspartate aminotransferase to platelet ratio index; BARD (body mass index, aspartate-to-alanine aminotransferase ratio, diabetes); Hepamet Fibrosis Score (HFS)] and newer scores incorporating neo-epitope biomarkers PRO-C3 (ADAPT, FIBC3) or cytokeratin 18 (MACK-3). Setting: Tertiary referral center. Patients: We recruited overweight/obese patients from endocrinology (n = 307) and hepatology (n = 71) clinics undergoing a liver biopsy [median body mass index (BMI) 40.3 (interquartile range 36.0-44.7) kg/m(2)]. Additionally, we studied 859 less obese patients with biopsy-proven NAFLD to derive BMI-adjusted cutoffs for NFS. Main Outcome Measures: Biomarker area under the receiver operating characteristic (AUROC), sensitivity, specificity, and predictive values to identify histological stage >= F3 fibrosis or nonalcoholic steatohepatitis with >= F2 fibrosis [fibrotic nonalcoholic steatohepatitis (NASH)]. Results: The scores with an AUROC >= 0.85 to identify >= F3 fibrosis were ADAPT, FIB-4, FIBC3, and HFS. For fibrotic NASH, the best predictors were MACK-3 and ADAPT. The specificities of NFS, BARD, and FIBC3 deteriorated as a function of BMI. We derived and validated new cutoffs for NFS to rule in/out >= F3 fibrosis in groups with BM Is <30.0, 30.0 to 39.9, and >= 40.0 kg/m(2). This optimized its performance at all levels of BMI. Sequentially combining FIB-4 with ADAPT or FIBC3 increased specificity to diagnose >= F3 fibrosis. Conclusions: In obese patients, the best-performing fibrosis biomarkers are AD<br />Funding Agencies|Academy of FinlandAcademy of Finland [309263]; Novo Nordisk FoundationNovo Nordisk FoundationNovocure Limited; Sigrid Juselius FoundationSigrid Juselius Foundation; Orion Research Foundation sr; Yrjo Jahnsson Foundation sr; Maud Kuistila Memorial Foundation sr; Emil Aaltonen Foundation sr; Italian Ministry of Health (Ministero della Salute, Ricerca Finalizzata) [RF-2016-02364358]; Ricerca Corrente Fondazione IRCCS Ca Granda Ospedale Maggiore Policlinico; Fondazione IRCCS Ca Granda core COVID-19 Biobank [RC100017A]; Fondazione IRCCS Ca Granda "Liver BIBLE" [PR-0391]

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1312816758
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1210.clinem.dgab933