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A clinical decision support tool may help to optimise vedolizumab therapy in Crohn’s disease
BACKGROUND: A clinical decision support tool (CDST) has been validated for predicting treatment effectiveness of vedolizumab (VDZ) in Crohn’s disease. AIM: To assess the utility of this CDST for predicting exposure‐efficacy and disease outcomes. METHODS: Using data from three independent datasets (G...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028036/ https://www.ncbi.nlm.nih.gov/pubmed/31867766 http://dx.doi.org/10.1111/apt.15609 |
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author | Dulai, Parambir S. Amiot, Aurelien Peyrin‐Biroulet, Laurent Jairath, Vipul Serrero, Melanie Filippi, Jerome Singh, Siddharth Pariente, Benjamin Loftus, Edward V. Roblin, Xavier Kane, Sunanda Buisson, Anthony Siegel, Corey A. Bouhnik, Yoram Sandborn, William J. Lasch, Karen Rosario, Maria Feagan, Brian G. Bojic, Daniela Trang‐Poisson, Caroline Shen, Bo Altwegg, Romain Sands, Bruce E. Colombel, Jean‐Frederic Carbonnel, Franck |
author_facet | Dulai, Parambir S. Amiot, Aurelien Peyrin‐Biroulet, Laurent Jairath, Vipul Serrero, Melanie Filippi, Jerome Singh, Siddharth Pariente, Benjamin Loftus, Edward V. Roblin, Xavier Kane, Sunanda Buisson, Anthony Siegel, Corey A. Bouhnik, Yoram Sandborn, William J. Lasch, Karen Rosario, Maria Feagan, Brian G. Bojic, Daniela Trang‐Poisson, Caroline Shen, Bo Altwegg, Romain Sands, Bruce E. Colombel, Jean‐Frederic Carbonnel, Franck |
author_sort | Dulai, Parambir S. |
collection | PubMed |
description | BACKGROUND: A clinical decision support tool (CDST) has been validated for predicting treatment effectiveness of vedolizumab (VDZ) in Crohn’s disease. AIM: To assess the utility of this CDST for predicting exposure‐efficacy and disease outcomes. METHODS: Using data from three independent datasets (GEMINI, GETAID and VICTORY), we assessed clinical remission rates and measured VDZ exposure, rapidity of onset of action, response to dose optimisation and progression to surgery by CDST‐defined response groups (low, intermediate and high). RESULTS: A linear relationship existed between CDST‐defined groups, measured VDZ exposure, rapidity of onset of action and efficacy in GEMINI through week 52 (P < 0.001 at all time points across three CDST‐defined groups). In GETAID, CDST predicted differences in clinical remission at week 14 (AUC = 0.68) and rapidity of onset of action (P = 0.04) between probability groups. The high‐probability patients did not benefit from shortening of infusion intervals, and differences in onset of action between the high‐intermediate and low‐probability groups within GETAID were no longer significant when including low‐probability patients who received a week 10 infusion. CDST predicted a twofold increase in surgery risk over 12 months of VDZ therapy among low‐ to intermediate‐probability vs high‐probability patients (adjusted HR 2.06, 95% CI 1.33‐3.21). CONCLUSIONS: We further extended the clinical utility of a previously validated VDZ CDST, which accurately predicts at baseline exposure‐efficacy relationships and rapidity of onset of action and could be used to help identify patients who would most benefit from interval shortening and those most likely to require surgery while on active therapy. |
format | Online Article Text |
id | pubmed-7028036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70280362020-02-25 A clinical decision support tool may help to optimise vedolizumab therapy in Crohn’s disease Dulai, Parambir S. Amiot, Aurelien Peyrin‐Biroulet, Laurent Jairath, Vipul Serrero, Melanie Filippi, Jerome Singh, Siddharth Pariente, Benjamin Loftus, Edward V. Roblin, Xavier Kane, Sunanda Buisson, Anthony Siegel, Corey A. Bouhnik, Yoram Sandborn, William J. Lasch, Karen Rosario, Maria Feagan, Brian G. Bojic, Daniela Trang‐Poisson, Caroline Shen, Bo Altwegg, Romain Sands, Bruce E. Colombel, Jean‐Frederic Carbonnel, Franck Aliment Pharmacol Ther Optimising Vedolizumab in Crohn's Disease BACKGROUND: A clinical decision support tool (CDST) has been validated for predicting treatment effectiveness of vedolizumab (VDZ) in Crohn’s disease. AIM: To assess the utility of this CDST for predicting exposure‐efficacy and disease outcomes. METHODS: Using data from three independent datasets (GEMINI, GETAID and VICTORY), we assessed clinical remission rates and measured VDZ exposure, rapidity of onset of action, response to dose optimisation and progression to surgery by CDST‐defined response groups (low, intermediate and high). RESULTS: A linear relationship existed between CDST‐defined groups, measured VDZ exposure, rapidity of onset of action and efficacy in GEMINI through week 52 (P < 0.001 at all time points across three CDST‐defined groups). In GETAID, CDST predicted differences in clinical remission at week 14 (AUC = 0.68) and rapidity of onset of action (P = 0.04) between probability groups. The high‐probability patients did not benefit from shortening of infusion intervals, and differences in onset of action between the high‐intermediate and low‐probability groups within GETAID were no longer significant when including low‐probability patients who received a week 10 infusion. CDST predicted a twofold increase in surgery risk over 12 months of VDZ therapy among low‐ to intermediate‐probability vs high‐probability patients (adjusted HR 2.06, 95% CI 1.33‐3.21). CONCLUSIONS: We further extended the clinical utility of a previously validated VDZ CDST, which accurately predicts at baseline exposure‐efficacy relationships and rapidity of onset of action and could be used to help identify patients who would most benefit from interval shortening and those most likely to require surgery while on active therapy. John Wiley and Sons Inc. 2019-12-22 2020-03 /pmc/articles/PMC7028036/ /pubmed/31867766 http://dx.doi.org/10.1111/apt.15609 Text en © 2019 The Authors. Alimentary Pharmacology & Therapeutics published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Optimising Vedolizumab in Crohn's Disease Dulai, Parambir S. Amiot, Aurelien Peyrin‐Biroulet, Laurent Jairath, Vipul Serrero, Melanie Filippi, Jerome Singh, Siddharth Pariente, Benjamin Loftus, Edward V. Roblin, Xavier Kane, Sunanda Buisson, Anthony Siegel, Corey A. Bouhnik, Yoram Sandborn, William J. Lasch, Karen Rosario, Maria Feagan, Brian G. Bojic, Daniela Trang‐Poisson, Caroline Shen, Bo Altwegg, Romain Sands, Bruce E. Colombel, Jean‐Frederic Carbonnel, Franck A clinical decision support tool may help to optimise vedolizumab therapy in Crohn’s disease |
title | A clinical decision support tool may help to optimise vedolizumab therapy in Crohn’s disease |
title_full | A clinical decision support tool may help to optimise vedolizumab therapy in Crohn’s disease |
title_fullStr | A clinical decision support tool may help to optimise vedolizumab therapy in Crohn’s disease |
title_full_unstemmed | A clinical decision support tool may help to optimise vedolizumab therapy in Crohn’s disease |
title_short | A clinical decision support tool may help to optimise vedolizumab therapy in Crohn’s disease |
title_sort | clinical decision support tool may help to optimise vedolizumab therapy in crohn’s disease |
topic | Optimising Vedolizumab in Crohn's Disease |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028036/ https://www.ncbi.nlm.nih.gov/pubmed/31867766 http://dx.doi.org/10.1111/apt.15609 |
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