Cargando…

Tailoring Biologic or Immunomodulator Treatment Withdrawal in Inflammatory Bowel Disease

There is currently no cure for inflammatory bowel disease. Most recent treatments and treatment strategies allow for healing intestinal lesions and maintaining steroid-free remission in a subset of patients. These patients and their doctors often ask themselves whether the treatment could be withdra...

Descripción completa

Detalles Bibliográficos
Autor principal: Louis, Edouard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960136/
https://www.ncbi.nlm.nih.gov/pubmed/31970158
http://dx.doi.org/10.3389/fmed.2019.00302
Descripción
Sumario:There is currently no cure for inflammatory bowel disease. Most recent treatments and treatment strategies allow for healing intestinal lesions and maintaining steroid-free remission in a subset of patients. These patients and their doctors often ask themselves whether the treatment could be withdrawn. Several studies in both Crohn's disease and ulcerative colitis have demonstrated a risk of relapse, which varies between 20 and 50% at 1 year and between 50 and 80% beyond 5 years. These numbers clearly highlight that stopping therapy should not be a systematically proposed strategy in those remitting patients. Nevertheless, they also indicate that a minority of patients may not relapse over mid-term and that those who have relapsed may have benefited from a drug-free period before being treated again for a new cycle of treatment. In this context, it would be good to optimally select patients who can be candidates for a successful treatment withdrawal. The criteria impacting this decision are as follows: the risk of relapse (linked to factors like mucosal healing and biomarkers), the consequence of a potential relapse, the tolerance and potential side effects of therapy, patients' priorities and preferences, and the costs. Integration of these parameters allows for the proposal of a decisional algorithm that may help the patients and doctors to make an appropriate decision for their individual case.