S0652 Real World Exposure-Response Relationship of Vedolizumab in Inflammatory Bowel Disease: A Pooled Multicenter Observational Cohort Analysis of Clinical and Modeled Pharmacological Data
Bibliographic record
Abstract
INTRODUCTION: The role of vedolizumab (VDZ) therapeutic drug monitoring in patients with ulcerative colitis (UC) or Crohn's disease (CD) is under investigation. However, a thorough understanding of the relationship between VDZ serum concentrations and clinical outcomes is lacking. METHODS: ERELATE was a retrospective cohort study conducted at 9 centers in 6 countries. Data were pooled from real-world clinical cohorts of patients with UC or CD treated with VDZ. Clinically important treatment outcomes based on definitions commonly used across centers were collected at Weeks 14, 26, and 52. Using a population pharmacokinetic model,1 VDZ dosing, baseline body weight, and albumin concentration were used to predict VDZ concentrations. A Bayesian approach incorporated observed VDZ concentrations to refine individual predicted concentrations. Relationships between predicted concentrations and observed clinically important outcomes were investigated. VDZ concentration thresholds were determined using the optimal Youden index point along the receiver operating characteristic curve. Correlation and agreement between observed and predicted concentrations were evaluated using Spearman (ρ) and intra-class correlation (ICC) coefficients, respectively. RESULTS: In total 695 patients (304 UC, 391 CD) were included; 47.9% were male. Median age was 39 years, median disease duration was 9 years, and 86.3% had prior anti-tumor necrosis factor exposure. Clinically important outcome rates for UC and CD are shown in Table 1. Significant correlation ([ρ = 0.879; P < 0.01] across all timepoints) and agreement (ICC = 0.722; P < 0.01) were noted between observed and predicted concentrations, indicating adequate Bayesian model prediction of individual VDZ concentrations. Observed exposure-response relationships were more pronounced in UC than CD. Differences in VDZ concentration and drug concentration area under the curve from Weeks 0–6 were observed between remitters and non-remitters for UC and CD combined (Table 2). Predicted VDZ concentrations of 30.8 and 33.8 µg/mL at Week 6 and 16.6 and 14.4 µg/mL at Week 14 were associated with clinical remission and deep remission, respectively, at Week 52. CONCLUSION: These real-world data confirm GEMINI trial findings of significant relationships between VDZ serum concentration and clinical outcomes. Adequate drug concentrations during induction therapy may be important predictors of short- and long-term treatment outcomes.Table 1.: Clinically Important Outcomes in Patients With UC or CDTable 2.: Predicted Vedolizumab Trough Concentrations Associated With Clinical and Deep Remission in Patients With UC or CD
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".