Safety of Ixekizumab Treatment for up to 5 Years in Adult Patients with Moderate-to-Severe Psoriasis: Results from Greater Than 17,000 Patient-Years of Exposure
Bibliographic record
Abstract
INTRODUCTION: Long-term safety data are critical for evaluating therapies for psoriasis. Ixekizumab has demonstrated efficacy and is well tolerated for the treatment of moderate-to-severe plaque psoriasis. We examined the safety and tolerability of up to 5 years of ixekizumab therapy in patients with psoriasis. METHODS: Integrated safety data were analyzed from 13 ixekizumab clinical studies. Rates of treatment-emergent adverse events (TEAEs), serious AEs (SAEs) and AEs of special interest were analyzed for the 12-week induction period in the combined pivotal studies, and for all pooled studies by year(s) of therapy and overall, reported as exposure-adjusted incidence rates (IRs) per 100 patient-years (p-y) and/or frequencies. RESULTS: Total ixekizumab exposure was 17,003.4 p-y (N = 5898); 2749 patients had ≥ 4 years of exposure. When compared across years of exposure, rates for AEs remained largely stable or declined, including TEAEs leading to discontinuation (3.8/100 p-y in year 1, declining to 2.0/100 p-y in year 5); SAEs (range 6.2-7.0/100 p-y); serious infections (range 1.3-1.7/100 p-y); nonmelanoma skin cancer (ranging from 0.5/100 p-y in year 1 to 0.2/100 p-y in years 4-5); other malignancies (range 0.4-0.6/100 p-y); inflammatory bowel disease including ulcerative colitis and Crohn's disease (IR 0.2/100 p-y); and major adverse cardiovascular events (MACE) (range 0.3-0.7/100 p-y). Candidiasis was reported in 327 patients (IR 1.9/100 p-y), with the majority identified as mucocutaneous. The rate of injection site reactions was 15.5/100 p-y during year 1 and 2.0-2.3/100 p-y by years 3-5. CONCLUSIONS: The decrease in rates of TEAEs and the stable rates of SAEs, other malignancies and MACE during up to 5 years of ixekizumab dosing are consistent with previous reports describing a favorable safety profile of ixekizumab following shorter durations of exposure. FUNDING: Eli Lilly and Company.
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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 | 0.010 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".