P0972 Higher vedolizumab clearance associates with poor therapeutic outcomes during maintenance therapy of vedolizumab in Crohn’s disease
Bibliographic record
Abstract
Abstract Background Drug Clearance (CL) is a better pharmacokinetic (PK) metric compared to trough levels (TL) in associating with therapeutic outcome of infliximab, adalimumab and ustekinumab therapy in Crohn’s disease (CD). However, data regarding vedolizumab (VDZ) are limited. We compared the performances of VDZ CL and TL in associating with therapeutic outcomes in CD. Methods This retrospective analysis included a subset patients from the LOVE-CD trial at Amsterdam UMC. Blood samples were collected at trough during intravenous VDZ maintenance treatment and stored at -80ºC until analysis. VDZ TL were measured using homogenous mobility shift assay and CL was estimated using nonlinear mixed effect models. Therapeutic outcomes consisted of endoscopic remission (Simple Endoscopic Scoring for CD [SES-CD] <3) measured at one-year after starting treatment, and clinical and biochemical remission status (CRP <3 mg/L with CD activity index <150) at each maintenance cycle. Statistical analyses included receiver operating characteristics (ROC) curves, area under the curve (AUC) and logistic regression. Results A total of 50 patients (24 females, mean age 37 years) were evaluated in this analysis. At one year 39 patients had endoscopic data; 17/39 (44%) were in endoscopic remission. In the 50 patients, 38% of cycles (120/312, median 6 per patients) showed clinical and biochemical remission. Median TL and CL were 16.0 µg/mL (IQR: 9.5-23.8 µg/mL) and 0.154 L/day (IQR: 0.125-0.190 L/day) respectively. Anti-drug antibodies to VDZ were negligible in this cohort (2.5%, 8/323 specimens). ROC analysis yielded higher AUC with CL (AUC= 0.824 [95%CI: 0.683-0.964]) than with TL (AUC=0.606 [95%CI: 0.421- 0.790]) (difference= 0.218 95%CI: 0.074- 0.362; p=0.003) in distinguishing endoscopic remission from endoscopic active disease. Similar results were observed with the clinical and biochemical remission outcome (AUC [conc]=0.530 [95%CI: 0.466-0.595] compared to AUC[CL]=0.646 [95%CI: 0.584- 0.709]) (difference: 0.116 95%CI: 0.063- 0.169; p<0.001). Logistic regression revealed that TL were not significantly associated with either of the two outcomes (p>0.28) (Figure). In contrast, higher CL (>0.156 L/day) was associated with 9.0-fold (95%CI: 1.7,44.0) and 2.1-fold (95%CI: 1.3,3.4) lower likelihood of endoscopic and clinical & biochemical remission, respectively (p<0.01) (Table). Conclusion These data support the hypothesis that VDZ CL is better than TL in associating with outcomes of VDZ treatment in CD. Given that there was little immune response to VDZ in this study, the association between higher CL and poor outcome most likely reflects higher inflammatory burden that consumes the drug from the central compartment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".