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Predicting Response to Vedolizumab in Inflammatory Bowel Disease

Vedolizumab is known to be safe, well-tolerated, and effective. However, as personalization becomes an increasingly important aspect of IBD care and in lieu of guidelines to inform clinicians on positioning of biologics, there is a need to reliably predict response to inform patient preferences and...

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Detalles Bibliográficos
Autores principales: Meserve, Joseph, Dulai, Parambir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145386/
https://www.ncbi.nlm.nih.gov/pubmed/32300596
http://dx.doi.org/10.3389/fmed.2020.00076
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author Meserve, Joseph
Dulai, Parambir
author_facet Meserve, Joseph
Dulai, Parambir
author_sort Meserve, Joseph
collection PubMed
description Vedolizumab is known to be safe, well-tolerated, and effective. However, as personalization becomes an increasingly important aspect of IBD care and in lieu of guidelines to inform clinicians on positioning of biologics, there is a need to reliably predict response to inform patient preferences and shared decision-making. Recent data from clinical trials and real-world evidence have elucidated predictors of clinical and endoscopic response while providing the framework to establish predictive models. Current models are able to predict that those patients with less severe disease, without prior biologic exposure and who demonstrate early response to VDZ have the highest rates of durable clinical and endoscopic response and remission. When incorporating these models into clinical practice, clinicians will be able to identify those patients who are likely to respond before drug initiation as well as early non-responders and response latency after initiation of vedolizumab. In a shift toward personalization of medicine in IBD, the ability of predictive models for vedolizumab to aid pre-biologic and early management will inform both clinician and patient. Ideally this will provide both a personalized and more cost-effective approach, though further studies in cost-analysis in this framework are needed. Though current models are comprehensive of existing data, future research on microbial and translational biomarkers will be additive and necessary to provide full personalization of treatment.
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spelling pubmed-71453862020-04-16 Predicting Response to Vedolizumab in Inflammatory Bowel Disease Meserve, Joseph Dulai, Parambir Front Med (Lausanne) Medicine Vedolizumab is known to be safe, well-tolerated, and effective. However, as personalization becomes an increasingly important aspect of IBD care and in lieu of guidelines to inform clinicians on positioning of biologics, there is a need to reliably predict response to inform patient preferences and shared decision-making. Recent data from clinical trials and real-world evidence have elucidated predictors of clinical and endoscopic response while providing the framework to establish predictive models. Current models are able to predict that those patients with less severe disease, without prior biologic exposure and who demonstrate early response to VDZ have the highest rates of durable clinical and endoscopic response and remission. When incorporating these models into clinical practice, clinicians will be able to identify those patients who are likely to respond before drug initiation as well as early non-responders and response latency after initiation of vedolizumab. In a shift toward personalization of medicine in IBD, the ability of predictive models for vedolizumab to aid pre-biologic and early management will inform both clinician and patient. Ideally this will provide both a personalized and more cost-effective approach, though further studies in cost-analysis in this framework are needed. Though current models are comprehensive of existing data, future research on microbial and translational biomarkers will be additive and necessary to provide full personalization of treatment. Frontiers Media S.A. 2020-04-02 /pmc/articles/PMC7145386/ /pubmed/32300596 http://dx.doi.org/10.3389/fmed.2020.00076 Text en Copyright © 2020 Meserve and Dulai. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Meserve, Joseph
Dulai, Parambir
Predicting Response to Vedolizumab in Inflammatory Bowel Disease
title Predicting Response to Vedolizumab in Inflammatory Bowel Disease
title_full Predicting Response to Vedolizumab in Inflammatory Bowel Disease
title_fullStr Predicting Response to Vedolizumab in Inflammatory Bowel Disease
title_full_unstemmed Predicting Response to Vedolizumab in Inflammatory Bowel Disease
title_short Predicting Response to Vedolizumab in Inflammatory Bowel Disease
title_sort predicting response to vedolizumab in inflammatory bowel disease
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145386/
https://www.ncbi.nlm.nih.gov/pubmed/32300596
http://dx.doi.org/10.3389/fmed.2020.00076
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