P512 Early proactive therapeutic drug monitoring with ustekinumab therapy in paediatric Crohn's Disease
Bibliographic record
Abstract
Abstract Background In the treatment of paediatric Crohn’s disease (CD), the youngest (lightest) children have historically been underdosed by standard weight-based dosing. Paediatric data on optimal dosing and drug levels are sparse. We aimed to examine real-world post-induction pharmacokinetic and effectiveness in a prospective multicentre paediatric CD cohort. Methods Luminal CD patients 2-17 years old in the Canadian Children IBD Network were eligible if they received UST IV and had a serum UST level measured proactively at week (wk) 8. Wk8 and subsequent UST levels were compared between children <40 and ≥40 kg (Mann-Whitney-U), dosed in accordance with an ongoing phase 3 paediatric trial. We calculated a “dose to exposure ratio” by dividing induction dose by wk8 level. Clinical remission was defined as wPCDAI <12.5 while still on UST. We used ROC curves to define optimal (Youden index) wk8 levels associated with wk16 remission and subsequent UST continuation. Continuous measures are reported as median (IQR). Results 44 children were eligible from April 2017-April 2023 (70% M; age 13.1 (10.8-15.5) y; disease duration 0.3 (0.08-1.3) y; weight 44.7 (30.4-55.0) kg, 12 <40kg; 75% bio-naïve; L1 18%, L2 23%, L3 52%; SES-CD at diagnosis 17 (11-21)). At UST start, wPCDAI was 27.5 (10-52.5) and albumin was similar between weight groups (p=0.3). Median follow-up was 10 (7-13) months. 68% received 260 mg IV loading dose, 16% 390 mg. All received 90 mg SC q8 weekly maintenance. Induction doses in mg/kg and mg/m2 were significantly higher in children <40 kg (Table 1). Despite this, wk8 levels were similar between weight groups, with the same pattern at other times. The dose (mg/kg) to exposure ratio was 1.45x higher in children <40kg, indicating they received more drug per unit increase in serum UST level relative to heavier children. Interval shortening to q4wk occurred in 7 prior to wk16, and in 16 (36%) by 6 months. By wk16, 56% of patients with available wPCDAI were in clinical remission and 60% at 1 year. Overall, 7 (16%) ceased UST. Wk8 UST levels were numerically higher in those who achieved wk16 clinical remission (7.4 (6.2-10.2) vs. 5.5 (2.6-7.1), p=0.094), and numerically lower in those who ceased UST (4.9 (2.6-6.9) vs. 7.3 (5.4-10.7), p=0.087). Based on ROC, the optimal wk8 UST level associated with wk16 clinical remission was 5.8 (AUC 0.68, sensitivity 78%, specificity 57%). The optimal level associated with UST continuation was 7.9 (AUC 0.73, sensitivity 43%, specificity 100%, Figure 1). Conclusion Paediatric CD patients weighing <40kg required higher UST doses to achieve comparable drug exposure to those ≥40kg. Positive clinical outcomes were associated with higher UST levels (with optimal cut-offs 6-8). Figure 1
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".