A post-approval observational study to evaluate the safety and tolerability of perampanel as an add-on therapy in adolescent, adult, and elderly patients with epilepsy
Bibliographic record
Abstract
OBJECTIVE: Perampanel is a once-daily oral anti-seizure medication for focal-onset seizures, with or without focal to bilateral tonic-clonic seizures (FBTCS), and generalized tonic-clonic seizures. Study 402 (NCT02033902) collected safety information on clinically important treatment-emergent adverse events (TEAEs) from real-world clinical practice in patients aged ≥12 years with refractory epilepsy who were receiving perampanel as an add-on therapy. METHODS: Study 402 was a multicenter, observational, 52-week cohort study conducted in Austria, Belgium, Czech Republic, Denmark, France, Israel, Sweden, and the United Kingdom. Safety data were gathered prospectively from patients at clinic visits. The primary endpoint was the incidence of clinically important TEAEs defined as dizziness; blurred vision; somnolence; aggression; balance disorders (including ataxia and falls); weight gain; suicidality; drug abuse, misuse, dependence, and withdrawal; skin photosensitivity; and unintended pregnancy while taking levonorgestrel-containing contraceptives. Off-label use of perampanel and outcomes associated with any suspected drug-drug interaction were also monitored and recorded. Secondary endpoints included the Hospital Anxiety and Depression Scale (HADS) and Clinical Global Impression of Change. RESULTS: Of 483 patients in the Safety Analysis Set, mean (standard deviation [SD]) age was 38.3 (15.1) years, 48.4% were female, mean (SD) time since diagnosis was 23 (14.8) years, 56.5% had focal impaired awareness seizures, and 48.7% had FBTCS. Overall, 243 (49.3%) patients treated with perampanel completed the study and 227 (46.0%) patients discontinued. The most common primary reason for discontinuation was adverse events (n = 130 [26.4%]). A total of 301 (62.3%) patients reported at least one TEAE, of which 45 (15.0%) patients had severe TEAEs and 256 (85.0%) patients had TEAEs judged as mild to moderate in severity. Overall, 51 (10.6%) patients had serious TEAEs, including two deaths that were judged as not related to perampanel, and 136 (28.2%) patients experienced a TEAE that led to treatment discontinuation. Clinically important TEAEs were reported by 153 (31.7%) patients, with the most common being dizziness (13.9%), balance disorders (5.6%), aggression (5.4%), and weight gain (5.4%). In general, the frequencies of clinically important TEAEs were lower in this study compared with previous interventional clinical studies, except for the incidence of suicidality (2.1% vs 1.0%) and aggression (5.4% vs 5.1%). Mean total HADS scores were similar at the end of the study compared with baseline; at the end of treatment, most (>60%) patients had no shift in HADS score category; ∼15% of patients moved to a worse category vs baseline and ∼20% of patients moved to an improved category vs baseline for both anxiety and depression. Based on investigator assessment, disease severity was improved in 185/415 (44.6%) patients. A subanalysis in elderly patients aged ≥65 years showed similar results to the overall population. CONCLUSIONS: The data from this observational study are consistent with the known safety profile of perampanel derived from previous interventional phase II and III clinical studies. No unusual or unexpected TEAEs were observed in this real-world clinical practice setting.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".