Week 2 Adalimumab Levels Predict Short-term Clinical Remission in Patients With Inflammatory Bowel Disease
Bibliographic record
Abstract
BACKGROUND AND GOALS: The role of early proactive therapeutic drug level monitoring for anti-tumor necrosis factor therapies is unclear. We aimed to determine whether a week 2 serum trough level in patients with inflammatory bowel disease (IBD) using adalimumab may predict clinical outcomes. MATERIALS AND METHODS: This was a retrospective study of consecutive IBD patients with a week 2 serum adalimumab level available. Receiver operating characteristic curve analysis was conducted to determine an optimal week 2 threshold level for adalimumab. Patients above the threshold were compared for the primary outcome of week 12 clinical remission (CR) and the secondary outcome of short-term endoscopic healing. Multivariate logistic regression analysis was performed to evaluate the relationship between week 2 adalimumab level and CR. RESULTS: Forty-six patients had a week 2 adalimumab level performed. Receiver operating characteristic curve analysis suggested an optimal adalimumab level of 11.9 mcg/mL based on the area under the curve. Patients with week 2 adalimumab levels >11.9 mcg/mL had higher odds of week 12 CR than those with levels below or equal to this threshold (odds ratio=3.34, 95% confidence interval: 1.01-12.11, P =0.04). Other covariates were not found to have a significant association with the primary outcome. The rate of short-term endoscopic healing was numerically higher in patients with adalimumab week 2 levels above 11.9 mcg/mL; however, was not statistically significant (71.4% vs. 28.5%, P =0.11). CONCLUSIONS: Serum adalimumab levels at week 2 appears to be a predictor of short-term CR. Further research should explore whether patients with a week 2 adalimumab level equal to or below 11.9 mcg/mL benefit from early dose optimization.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".