TY - JOUR
T1 - Therapeutic drug monitoring in inflammatory bowel disease
T2 - At the right time in the right place
AU - Truta, Brindusa
N1 - Publisher Copyright:
© 2022 Baishideng Publishing Group Co., Limited. All rights reserved.
PY - 2022/4/7
Y1 - 2022/4/7
N2 - Therapeutic drug monitoring (TDM) was one of most sought-after objective tools to determine therapeutic efficiency of different biologics and its role in the management of patients with inflammatory bowel disease (IBD) was regarded with great anticipation. But implementation of the TDM in clinical practice was challenged by several factors including uncertainty of the optimal cut-off values, assay variable sensitivity in detecting drug levels and antibodies and, most importantly, individual pharmacokinetics. While reactive TDM was embraced in clinical practice as a useful tool in assessing lack of response to therapy, the utility of proactive TDM in managing IBD therapy is still challenged by the lack of consistency between evidence. Described here, there are four groups of IBD patients for whom proactive TDM has the potential to greatly impact their therapeutic outcomes: Patients with perianal Crohn's disease, patients with severe ulcerative colitis, pregnant women with IBD and children. As the future of IBD management moves towards personalizing treatment, TDM will be an important decision node in a machine learning based algorithm predicting the best strategy to maximize treatment results while minimizing the loss of response to therapy.
AB - Therapeutic drug monitoring (TDM) was one of most sought-after objective tools to determine therapeutic efficiency of different biologics and its role in the management of patients with inflammatory bowel disease (IBD) was regarded with great anticipation. But implementation of the TDM in clinical practice was challenged by several factors including uncertainty of the optimal cut-off values, assay variable sensitivity in detecting drug levels and antibodies and, most importantly, individual pharmacokinetics. While reactive TDM was embraced in clinical practice as a useful tool in assessing lack of response to therapy, the utility of proactive TDM in managing IBD therapy is still challenged by the lack of consistency between evidence. Described here, there are four groups of IBD patients for whom proactive TDM has the potential to greatly impact their therapeutic outcomes: Patients with perianal Crohn's disease, patients with severe ulcerative colitis, pregnant women with IBD and children. As the future of IBD management moves towards personalizing treatment, TDM will be an important decision node in a machine learning based algorithm predicting the best strategy to maximize treatment results while minimizing the loss of response to therapy.
KW - Biologics
KW - Crohn's disease
KW - Inflammatory bowel disease
KW - Therapeutic drug monitoring
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U2 - 10.3748/wjg.v28.i13.1380
DO - 10.3748/wjg.v28.i13.1380
M3 - Article
C2 - 35645545
AN - SCOPUS:85128479260
SN - 1007-9327
VL - 28
SP - 1380
EP - 1383
JO - World Journal of Gastroenterology
JF - World Journal of Gastroenterology
IS - 13
ER -