Prevalence and Characteristics of Dupilumab-Induced Ocular Surface Disease in Adults With Atopic Dermatitis
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: Dupilumab-induced ocular surface disease (DIOSD) is a common reaction among patients treated for atopic dermatitis. This study aimed to identify the clinical characteristics, associated risk factors, treatment strategies, and long-term outcomes of DIOSD. METHODS: We conducted a multicenter retrospective cohort study of consecutive adult outpatients treated with dupilumab for moderate-to-severe atopic dermatitis from 2017 through 2021 at 2 tertiary care centers. We used stepwise multivariable logistic regression to assess the association between patient characteristics and development of DIOSD. RESULTS: Among 210 patients treated with dupilumab, 37% (n = 78) developed DIOSD over the 52-week follow-up period. Vision-threatening complications including corneal scarring and cicatricial ectropion were noted in 1% (n = 3) of patients. Clinical features were blepharoconjunctivitis (68%, n = 53), burning/stinging/dryness (14%, n = 29), epiphora (13%, n = 10), pruritus (13%, n = 10), blurred vision (3%, n = 2), and photophobia (1%, n = 1). DIOSD was associated with a history of asthma (odds ratio: 2.94, 95% confidence interval: 1.26-6.87, P = 0.01) and a family history of atopic dermatitis (odds ratio: 2.58, 95% confidence interval: 1.08-6.17, P = 0.03). Interventions were initiated for 63% of patients with DIOSD, with artificial tears (56%) and corticosteroid drops (29%) most commonly used. Dupilumab was discontinued because of DIOSD in 4% of patients. CONCLUSIONS: DIOSD is a common adverse event that is usually mild but may lead to treatment interruption and vision-threatening complications. A personal history of asthma and family history of atopic dermatitis may be associated with a higher risk of developing DIOSD.
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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) | 0.000 | 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 it