DOI 10.1007/s40262-026-01685-7
Pharmacometric Targets During Anti-TNF Induction and Their Association with Deep Remission in Pediatric Crohn's Disease.
Аннотация
BACKGROUND AND
OBJECTIVE
Personalizing anti-tumor necrosis factor (TNF) therapy in pediatric Crohn's disease (CD) remains challenging due to variable drug clearance and response. Identifying pharmacokinetic (PK) and pharmacodynamic (PD) predictors of deep remission could enable precision dosing strategies. The primary aim was to define PK metrics and PD biomarkers associated with deep remission.
METHODS
Patients initiating infliximab or adalimumab were prospectively enrolled from four pediatric centers with longitudinal blood and stool biospecimens collected for one year. Deep remission was defined as a combination of weighted pediatric CD activity index (wPCDAI) < 12.5 and Simple Endoscopic Score-CD < 3. Trough concentrations (cTrough) were measured throughout the study. Drug exposure (area under the curve, AUC) and clearance were estimated using drug-specific population PK models and Bayesian estimation using nonlinear mixed-effects modeling (NONMEM).
RESULTS
Deep remission was achieved in 34/70 (48.6%) with no difference in outcomes between biologics. Infliximab cTrough thresholds associated with deep remission were 33 µg/mL (Week 2), 15 µg/mL (Week 6), and 4.7 µg/mL (Month 3) with Week 6 cTrough targets ranging 15-26 µg/mL depending on the outcome of interest. Higher AUC during induction for both infliximab and adalimumab was associated with deep remission, whereas rapid infliximab clearance at various timepoints was inversely associated with deep remission. Baseline predictors of rapid infliximab clearance included older age, low albumin, and elevations in body mass index, C-reactive protein, soluble CD64, and wPCDAI.
CONCLUSIONS
We identified PK/PD cut-points associated with deep remission and rapid infliximab clearance, providing actionable metrics to individualize induction dosing and optimize maintenance therapy for children starting anti-TNF therapy.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
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