Long‐Term Safety and Tolerability of Apremilast Versus Placebo in Psoriatic Arthritis: A Pooled Safety Analysis of Three Phase III, Randomized, Controlled Trials
Bibliographic record
Abstract
OBJECTIVE: Psoriatic arthritis (PsA) requires long-term treatment, yet safety concerns and monitoring requirements make maintenance a challenge. This analysis of pooled Psoriatic Arthritis Long-term Assessment of Clinical Efficacy (PALACE) 1, 2, and 3 data describes 3-year apremilast safety and tolerability in PsA. METHODS: Patients with active PsA were randomized (1:1:1) to placebo, apremilast 30 mg twice daily, or apremilast 20 mg twice daily. Placebo patients were re-randomized to apremilast 30 mg twice daily or 20 mg twice daily at week 16 (early escape) or 24. Double-blind treatment continued to week 52; patients could continue apremilast during an open-label, long-term treatment phase. RESULTS: In total, 1493 patients received at least one dose of study medication and were included in the safety population (placebo: n = 495; apremilast 30 mg: n = 497; apremilast 20 mg: n = 501). Among patients receiving apremilast, 53.2% (767/1441) completed 3 years of treatment. Greater rates of adverse events (AEs) were reported with apremilast (61.1%; exposure-adjusted incidence rate [EAIR]/100 patient-years, 265.1) versus placebo (47.5%; EAIR/100 patient-years, 200.7) in the placebo-controlled period. During weeks 0 to ≤52, the most common AEs occurring in apremilast-exposed patients were diarrhea (13.9%; EAIR/100 patient-years, 18.6), nausea (12.3%; EAIR/100 patient-years, 16.0), headache (9.4%; EAIR/100 patient-years, 12.1), upper respiratory tract infection (9.1%; EAIR/100 patient-years, 11.5), and nasopharyngitis (6.2%; EAIR/100 patient-years, 7.7). Most AEs were mild/moderate with apremilast exposure ≤156 weeks. Rates of depression remained low (EAIR/100 patient-years, 1.8). Major adverse cardiac events (EAIR/100 patient-years, 0.5), malignancies (EAIR/100 patient-years, 0.9), and serious opportunistic infections (EAIR/100 patient-years, 0.0) were infrequent over the 3-year exposure period. Discontinuation rates due to AEs were low (<7.5%) across all apremilast-exposure periods. Incidences of clinically meaningful abnormalities in postbaseline laboratory values was low; most values returned to baseline levels with continued treatment and without intervention. CONCLUSION: Apremilast demonstrated a favorable safety profile and was well tolerated up to 156 weeks.
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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 | 0.024 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.015 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".