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

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. DESI...

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Autores principales: Qadri, Sami, Ahlholm, Noora, Lønsmann, 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016464/
https://www.ncbi.nlm.nih.gov/pubmed/34971370
http://dx.doi.org/10.1210/clinem/dgab933
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author Qadri, Sami
Ahlholm, Noora
Lønsmann, 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
author_facet Qadri, Sami
Ahlholm, Noora
Lønsmann, 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
author_sort Qadri, Sami
collection PubMed
description 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 BMIs <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 ADAPT and the inexpensive FIB-4, which are unaffected by BMI. The widely used NFS loses specificity in obese individuals, which may be corrected with BMI-adjusted cutoffs.
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spelling pubmed-90164642022-04-20 Obesity Modifies the Performance of Fibrosis Biomarkers in Nonalcoholic Fatty Liver Disease Qadri, Sami Ahlholm, Noora Lønsmann, 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 J Clin Endocrinol Metab Online Only Articles 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 BMIs <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 ADAPT and the inexpensive FIB-4, which are unaffected by BMI. The widely used NFS loses specificity in obese individuals, which may be corrected with BMI-adjusted cutoffs. Oxford University Press 2021-12-31 /pmc/articles/PMC9016464/ /pubmed/34971370 http://dx.doi.org/10.1210/clinem/dgab933 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Online Only Articles
Qadri, Sami
Ahlholm, Noora
Lønsmann, 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
Obesity Modifies the Performance of Fibrosis Biomarkers in Nonalcoholic Fatty Liver Disease
title Obesity Modifies the Performance of Fibrosis Biomarkers in Nonalcoholic Fatty Liver Disease
title_full Obesity Modifies the Performance of Fibrosis Biomarkers in Nonalcoholic Fatty Liver Disease
title_fullStr Obesity Modifies the Performance of Fibrosis Biomarkers in Nonalcoholic Fatty Liver Disease
title_full_unstemmed Obesity Modifies the Performance of Fibrosis Biomarkers in Nonalcoholic Fatty Liver Disease
title_short Obesity Modifies the Performance of Fibrosis Biomarkers in Nonalcoholic Fatty Liver Disease
title_sort obesity modifies the performance of fibrosis biomarkers in nonalcoholic fatty liver disease
topic Online Only Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016464/
https://www.ncbi.nlm.nih.gov/pubmed/34971370
http://dx.doi.org/10.1210/clinem/dgab933
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