Two-Year US Pharmacovigilance Report on Brodalumab
Bibliographic record
Abstract
INTRODUCTION: Brodalumab is a human interleukin-17 receptor A antagonist indicated for the treatment of moderate-to-severe plaque psoriasis in adult patients who are candidates for systemic therapy or phototherapy and have failed to respond or have lost response to other systemic therapies. In the United States, brodalumab carries a boxed warning about suicidal ideation and behavior; however, no causal association was established between brodalumab and suicides reported during pivotal trials. We have previously reported results from an analysis of 1-year pharmacovigilance data in patients in the United States who took brodalumab, in which the most commonly reported adverse event was psoriasis flare. There were no completed suicides, suicide attempts, or serious fungal infections. Here, we provide a 2-year US pharmacovigilance report. METHODS: This analysis summarizes pharmacovigilance data reported to Ortho Dermatologics by US patients and healthcare providers from August 15, 2017, through August 14, 2019. The most common adverse events listed in the brodalumab package insert (incidence ≥ 1%; arthralgia, headache, fatigue, diarrhea, oropharyngeal pain, nausea, myalgia, injection-site reactions, influenza, neutropenia, and tinea infections) and adverse events of special interest are reported. RESULTS: Data were collected from 2677 patients in the United States who took brodalumab, with an estimated exposure of 1656 patient-years. Arthralgia was the most commonly reported adverse event (73 events; 0.04 events per patient-year). No suicide attempts or completed suicides were reported; there were 25 reports of depression. There were 46 serious infections and no serious fungal infections. One event of Crohn's disease was reported, which led to discontinuation. There were 13 malignancies, with none deemed related to brodalumab. CONCLUSIONS: This pharmacovigilance report supports the safety profile of brodalumab previously reported from long-term analyses of clinical trials and 1-year pharmacovigilance data.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".