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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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. |
format | Online Article Text |
id | pubmed-9016464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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