Effects of Tralokinumab on Clinical and Laboratory Indexes in Atopic Dermatitis: A 24-Week Real-World Study
Bibliographic record
Abstract
Abstract: Background: Tralokinumab, a monoclonal anti-IL-13 antibody, is approved for treating atopic dermatitis (AD). Real-world data on its effectiveness and safety are limited. Objective: To evaluate the real-world effectiveness and safety of tralokinumab and the transition of laboratory indexes during 24-week treatment for AD patients. Methods: This retrospective study included 104 patients with moderate-to-severe AD treated with tralokinumab 300 mg every 2 weeks after primary 600 mg. Clinical and laboratory indexes were assessed until week 24. Results: At week 24, achievement rates of Eczema Area and Severity Index 75 (EASI 75), EASI 90, and investigator’s global assessment 0 out of 1 in systemic therapy-naïve patients, 83.3%, 72.2%, and 44.4%, respectively, were higher than those in systemic therapy-experienced patients, 46.7%, 20.0%, and 6.7%, respectively. Serum levels of immunoglobulin E (IgE), thymus and activation-regulated chemokine (TARC), and lactate dehydrogenase (LDH) significantly decreased at week 24, whereas neutrophil-to-lymphocyte ratio (NLR) and systemic inflammation response index (SIRI) significantly decreased at week 12 from baseline. Twenty-nine patients (27.9%) experienced mild treatment-emergent adverse events. Conclusions: Tralokinumab treatment showed prosperous therapeutic effects and good tolerability in real-world practice for AD, with higher effectiveness in patients without prior systemic therapy compared with those with prior systemic therapy. Tralokinumab treatment significantly decreased clinical and laboratory indexes, EASI, Peak Pruritus-Numerical Rating Scale, IgE, TARC, LDH, NLR, and SIRI.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".