Pharmacokinetics and safety of apremilast in pediatric patients with moderate to severe plaque psoriasis: Results from a phase 2 open-label study
Bibliographic record
Abstract
BACKGROUND: No oral systemic treatments are approved for pediatric patients with psoriasis. OBJECTIVE: To evaluate the pharmacokinetics and safety of apremilast, an oral phosphodiesterase 4 inhibitor, in pediatric patients with psoriasis. METHODS: This phase 2, multicenter, open-label study enrolled pediatric patients with moderate to severe plaque psoriasis. Patients received apremilast twice daily without titration for 2 weeks (group 1 [age, 12-17 years; weight, ≥35 kg]: apremilast 20 or 30 mg; group 2 [age, 6-11 years; weight, ≥15 kg]: apremilast 20 mg), followed by a 48-week extension. Primary endpoints were pharmacokinetics and safety. Other endpoints were taste/acceptability and change from baseline in score on the Psoriasis Area and Severity Index. RESULTS: A total of 42 enrolled patients (21 adolescents [age, 12-17 years] and 21 children [age, 6-11 years]) received apremilast. Pharmacokinetics modeling and noncompartmental analyses showed that weight-based dosing with apremilast 20 mg twice daily in children or apremilast 20 or 30 mg twice daily in adolescents provides exposure (area under the concentration-time curve from time 0 to 12 hours after the dose) that is comparable to that achieved with apremilast 30 mg twice daily in adults. The safety profile was generally similar to that in adults. Most study participants liked the taste of the tablet. Improvements from baseline in mean Psoriasis Area and Severity Index score were 68% for adolescents (overall) and 79% for children. LIMITATIONS: No children weighing less than 20 kg were enrolled. CONCLUSIONS: This first-time-in-children phase 2 study supports weight-based apremilast dosing for future phase 3 studies of pediatric plaque psoriasis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".