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Multiparametric Magnetic Resonance Imaging, Autoimmune Hepatitis, and Prediction of Disease Activity

Noninvasive monitoring of disease activity in autoimmune hepatitis (AIH) has potential advantages for patients for whom liver biopsy is invasive and with risk. We sought to understand the association of multiparametric magnetic resonance imaging (mpMRI) with clinical course of patients with AIH. We...

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Autores principales: Arndtz, Katherine, Shumbayawonda, Elizabeth, Hodson, James, Eddowes, Peter J., Dennis, Andrea, Thomaides‐Brears, Helena, Mouchti, Sofia, Kelly, Matt D., Banerjee, Rajarshi, Neubauer, Stefan, Hirschfield, Gideon M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8183180/
https://www.ncbi.nlm.nih.gov/pubmed/34141986
http://dx.doi.org/10.1002/hep4.1687
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author Arndtz, Katherine
Shumbayawonda, Elizabeth
Hodson, James
Eddowes, Peter J.
Dennis, Andrea
Thomaides‐Brears, Helena
Mouchti, Sofia
Kelly, Matt D.
Banerjee, Rajarshi
Neubauer, Stefan
Hirschfield, Gideon M.
author_facet Arndtz, Katherine
Shumbayawonda, Elizabeth
Hodson, James
Eddowes, Peter J.
Dennis, Andrea
Thomaides‐Brears, Helena
Mouchti, Sofia
Kelly, Matt D.
Banerjee, Rajarshi
Neubauer, Stefan
Hirschfield, Gideon M.
author_sort Arndtz, Katherine
collection PubMed
description Noninvasive monitoring of disease activity in autoimmune hepatitis (AIH) has potential advantages for patients for whom liver biopsy is invasive and with risk. We sought to understand the association of multiparametric magnetic resonance imaging (mpMRI) with clinical course of patients with AIH. We prospectively recruited 62 patients (median age, 55 years; 82% women) with clinically confirmed AIH. At recruitment, patients underwent mpMRI with LiverMultiScan alongside clinical investigations, which were repeated after 12‐18 months. Associations between iron‐corrected T1 (cT1) and other markers of disease were investigated at baseline and at follow‐up. Discriminative performance of cT1, liver stiffness, and enhanced liver fibrosis (ELF) to identify those who failed to maintain remission over follow‐up was investigated using the areas under the receiver operating characteristic curves (AUCs). Baseline cT1 correlated with alanine aminotransferase (Spearman’s correlation coefficient [r (S)] = 0.28, P = 0.028), aspartate aminotransferase (r (S) = 0.26, P = 0.038), international normalized ratio (r (S) = 0.35 P = 0.005), Model for End‐Stage Liver Disease (r (S) = 0.32, P = 0.020), ELF (r (S) = 0.29, P = 0.022), and liver stiffness r (S) = 0.51, P < 0.001). After excluding those not in remission at baseline (n = 12), 32% of the remainder failed to maintain remission during follow‐up. Failure to maintain remission was associated with significant increases in cT1 over follow‐up (AUC, 0.71; 95% confidence interval [CI], 0.52‐0.90; P = 0.035) but not with changes in liver stiffness (AUC, 0.68; 95% CI, 0.49‐0.87; P = 0.067) or ELF (AUC, 0.57; 95% CI, 0.37‐0.78; P = 0.502). cT1 measured at baseline was a significant predictor of future loss of biochemical remission (AUC, 0.68; 95% CI, 0.53‐0.83; P = 0.042); neither liver stiffness (AUC, 0.53; 95% CI, 0.34‐0.71; P = 0.749) nor ELF (AUC, 0.52; 95% CI, 0.33‐0.70; P = 0.843) were significant predictors of loss of biochemical remission. Conclusion: Noninvasive mpMRI has potential to contribute to risk stratification in patients with AIH.
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spelling pubmed-81831802021-06-16 Multiparametric Magnetic Resonance Imaging, Autoimmune Hepatitis, and Prediction of Disease Activity Arndtz, Katherine Shumbayawonda, Elizabeth Hodson, James Eddowes, Peter J. Dennis, Andrea Thomaides‐Brears, Helena Mouchti, Sofia Kelly, Matt D. Banerjee, Rajarshi Neubauer, Stefan Hirschfield, Gideon M. Hepatol Commun Original Articles Noninvasive monitoring of disease activity in autoimmune hepatitis (AIH) has potential advantages for patients for whom liver biopsy is invasive and with risk. We sought to understand the association of multiparametric magnetic resonance imaging (mpMRI) with clinical course of patients with AIH. We prospectively recruited 62 patients (median age, 55 years; 82% women) with clinically confirmed AIH. At recruitment, patients underwent mpMRI with LiverMultiScan alongside clinical investigations, which were repeated after 12‐18 months. Associations between iron‐corrected T1 (cT1) and other markers of disease were investigated at baseline and at follow‐up. Discriminative performance of cT1, liver stiffness, and enhanced liver fibrosis (ELF) to identify those who failed to maintain remission over follow‐up was investigated using the areas under the receiver operating characteristic curves (AUCs). Baseline cT1 correlated with alanine aminotransferase (Spearman’s correlation coefficient [r (S)] = 0.28, P = 0.028), aspartate aminotransferase (r (S) = 0.26, P = 0.038), international normalized ratio (r (S) = 0.35 P = 0.005), Model for End‐Stage Liver Disease (r (S) = 0.32, P = 0.020), ELF (r (S) = 0.29, P = 0.022), and liver stiffness r (S) = 0.51, P < 0.001). After excluding those not in remission at baseline (n = 12), 32% of the remainder failed to maintain remission during follow‐up. Failure to maintain remission was associated with significant increases in cT1 over follow‐up (AUC, 0.71; 95% confidence interval [CI], 0.52‐0.90; P = 0.035) but not with changes in liver stiffness (AUC, 0.68; 95% CI, 0.49‐0.87; P = 0.067) or ELF (AUC, 0.57; 95% CI, 0.37‐0.78; P = 0.502). cT1 measured at baseline was a significant predictor of future loss of biochemical remission (AUC, 0.68; 95% CI, 0.53‐0.83; P = 0.042); neither liver stiffness (AUC, 0.53; 95% CI, 0.34‐0.71; P = 0.749) nor ELF (AUC, 0.52; 95% CI, 0.33‐0.70; P = 0.843) were significant predictors of loss of biochemical remission. Conclusion: Noninvasive mpMRI has potential to contribute to risk stratification in patients with AIH. John Wiley and Sons Inc. 2021-02-23 /pmc/articles/PMC8183180/ /pubmed/34141986 http://dx.doi.org/10.1002/hep4.1687 Text en © 2021 The Authors. Hepatology Communications published by Wiley Periodicals LLC on behalf of the American Association for the Study of Liver Diseases. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Arndtz, Katherine
Shumbayawonda, Elizabeth
Hodson, James
Eddowes, Peter J.
Dennis, Andrea
Thomaides‐Brears, Helena
Mouchti, Sofia
Kelly, Matt D.
Banerjee, Rajarshi
Neubauer, Stefan
Hirschfield, Gideon M.
Multiparametric Magnetic Resonance Imaging, Autoimmune Hepatitis, and Prediction of Disease Activity
title Multiparametric Magnetic Resonance Imaging, Autoimmune Hepatitis, and Prediction of Disease Activity
title_full Multiparametric Magnetic Resonance Imaging, Autoimmune Hepatitis, and Prediction of Disease Activity
title_fullStr Multiparametric Magnetic Resonance Imaging, Autoimmune Hepatitis, and Prediction of Disease Activity
title_full_unstemmed Multiparametric Magnetic Resonance Imaging, Autoimmune Hepatitis, and Prediction of Disease Activity
title_short Multiparametric Magnetic Resonance Imaging, Autoimmune Hepatitis, and Prediction of Disease Activity
title_sort multiparametric magnetic resonance imaging, autoimmune hepatitis, and prediction of disease activity
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8183180/
https://www.ncbi.nlm.nih.gov/pubmed/34141986
http://dx.doi.org/10.1002/hep4.1687
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