Predicting success with reduced dosing frequency of tralokinumab in patients with moderate-to-severe atopic dermatitis
Bibliographic record
Abstract
BACKGROUND: Approved tralokinumab maintenance dosing regimens for treatment of moderate-to-severe atopic dermatitis (AD) include 300 mg every 2 weeks (Q2W) and every 4 weeks (Q4W). Clinicians may consider tralokinumab Q4W for patients whose skin has become clear or almost clear at week 16 with initial Q2W dosing. OBJECTIVES: To identify predictive factors associated with maintained response after switching to tralokinumab Q4W, evaluate recapture of treatment response after relapse on Q4W, and assess treatment-emergent immunogenicity with tralokinumab Q4W. METHODS: These post hoc analyses utilized machine learning to identify predictive factors for maintained treatment response at week 52 using data from the week 16 responder population of the phase III ECZTRA 1 and 2 trials, i.e. patients who met Investigator's Global Assessment of clear/almost clear skin (IGA 0/1) and/or ≥ 75% improvement in Eczema Area and Severity Index (EASI 75) at week 16 with tralokinumab Q2W monotherapy. Top-ranked factors were then assessed individually and together to identify factors associated with a similar maintained efficacy at week 52 between patients rerandomized to tralokinumab Q2W or Q4W monotherapy at week 16. Additionally, the probability of recapturing IGA 0/1 and/or EASI 75 response after relapse was assessed in patients on tralokinumab Q4W transferred to the open-label arm. RESULTS: The two top-ranked predictive factors for maintained response at week 52 were IGA score at week 16 (76.1%) and worst daily pruritus numeric rating scale (NRS) < 3 at week 16 (56.5%). Patients whose AD reached stable clinical response scores of both IGA 0/1 and worst daily pruritus NRS < 3 from weeks 12-16 with tralokinumab Q2W similarly maintained IGA 0/1 response at week 52 regardless of dosing regimen beyond week 16 (72.0% of patients on Q2W and 72.2% of those on Q4W). Of patients who relapsed on Q4W, 94.6% recaptured treatment response after returning to Q2W dosing. The immunogenicity potential of tralokinumab was low, and patients with positive antidrug antibodies did not show loss of efficacy or higher incidences of adverse events. CONCLUSIONS: These data suggest that Q4W is an effective dosing regimen for most patients who achieved stable disease control as shown by clear/almost clear skin and no itch to mild itch over 4 consecutive weeks on the initial regimen of tralokinumab Q2W.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".