Multiple-allergen oral immunotherapy improves quality of life in caregivers of food-allergic pediatric subjects
Bibliographic record
Abstract
BACKGROUND: Food allergy (FA) negatively affects quality of life in caregivers of food-allergic children, imposing a psychosocial and economic burden. Oral immunotherapy (OIT) is a promising investigational therapy for FA. However, OIT can be a source of anxiety as it carries risk for allergic reactions. The effect of OIT with multiple food allergens (mOIT) on FA-specific health-related quality of life (HRQL) has never been studied in participants with multiple, severe food allergies. This study is the first to investigate the effects of mOIT on FA-related HRQL in caregivers of pediatric subjects. METHODS: Caregiver HRQL was assessed using a validated Food Allergy Quality of Life - Parental Burden (FAQL-PB) Questionnaire (J Allergy Clin Immunol 114(5):1159-1163, 2004). Parents of participants in two single-center Phase I clinical trials receiving mOIT (n = 29) or rush mOIT with anti-IgE (omalizumab) pre-treatment (n = 11) completed the FAQL-PB prior to study intervention and at 2 follow-up time-points (6 months and 18 months). Parents of subjects not receiving OIT (control group, n = 10) completed the FAQL-PB for the same time-points. RESULTS: HRQL improved with clinical (change < -0.5) and statistical (p < 0.05) significance in the mOIT group (baseline mean 3.9, 95% CI 3.4-4.4; 6-month follow-up mean 2.5, 95% CI 2.0-3.0; 18-month follow-up mean 1.8, 95% CI 1.4-2.1) and rush mOIT group (baseline mean 3.9, 95% CI 3.1-4.7; 6-month follow-up mean 1.7, 95% CI 0.9-2.6; 18-month follow-up mean 1.3, 95% CI 0.3-2.4). HRQL scores did not significantly change in the control group (n = 10). CONCLUSION: Multi-allergen OIT with or without omalizumab leads to improvement in caregiver HRQL, suggesting that mOIT can help relieve the psychosocial and economic burden FA imposes on caregivers of food-allergic children.
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".