4.7 Article

Efficacy of Early Optimization of Infliximab Guided by Therapeutic Drug Monitoring during Induction-A Prospective Trial

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BIOMEDICINES
卷 11, 期 6, 页码 -

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MDPI
DOI: 10.3390/biomedicines11061757

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inflammatory bowel diseases; tumor necrosis factor-alpha; infliximab; therapeutic drug monitoring; Crohn's disease; ulcerative colitis

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Therapeutic drug monitoring (TDM) is important in optimizing response to anti-tumor necrosis factor drugs and preventing inadequate drug exposure. This study aimed to describe the remission rates of Brazilian inflammatory bowel disease (IBD) patients at six months using a proactive TDM algorithm guided by IFX trough levels (ITL) and antibodies to IFX (ATI) levels. The results showed that proactive TDM was associated with a high persistence rate of 82.9% and favorable remission rates at six months.
Therapeutic drug monitoring (TDM) during induction therapy with anti-tumor necrosis factor drugs has emerged as a strategy to optimize response to these biologics and avoid undesired outcomes related to inadequate drug exposure. This study aimed to describe clinical, biological, and endoscopic remission rates at six months in Brazilian inflammatory bowel disease (IBD) patients following a proactive TDM algorithm guided by IFX trough levels (ITL) and antibodies to IFX (ATI) levels during induction, at week six. A total of 111 IBD patients were prospectively enrolled, excluding those previously exposed to the drug. ITL & GE; 10 & mu;g/mL was considered optimal. Patients with suboptimal ITL (<10 & mu;g/mL) were guided according to ATI levels. Those who presented ATI & LE; 200 ng/mL underwent dose intensification in the maintenance phase, and patients with ATI > 200 ng/mL discontinued IFX. In our study, proactive TDM was associated with persistence in the IFX rate at six months of 82.9%. At that time, rates of clinical, biological, and endoscopic remission in patients under IFX treatment were 80.2%, 73.9%, and 48.1%, respectively. Applying a simplified TDM-guided algorithm during induction seems feasible and can help improve patients' outcomes in clinical practice.

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