Prevalence of Nonsteroidal Anti-Inflammatory Drug-Exacerbated Respiratory Disease among Patients with Chronic Rhinosinusitis with Nasal Polyps in the Global AROMA Registry
Bibliographic record
Abstract
INTRODUCTION: Chronic rhinosinusitis with nasal polyps (CRSwNP) is a predominantly type 2 inflammatory disease associated with severe symptom burden and reduced quality of life. Nonsteroidal anti-inflammatory drug-exacerbated respiratory disease (NSAID-ERD) is a common coexisting condition, associated with more severe sinus disease and increased corticosteroid use. PURPOSE: The aim of this study was to describe baseline characteristics and disease burden in patients with CRSwNP with coexisting NSAID-ERD enrolled in the AROMA registry. METHODS: AROMA is a prospective global registry study recruiting adult patients with severe CRSwNP. These patients are followed for up to 36 months after initiating dupilumab treatment. Baseline demographics and disease characteristics were assessed for all patients entering the registry. RESULTS: As of February 2023, the study had recruited 303 patients; 77 (25.4%) had coexisting NSAID-ERD. Of these patients, 11 (14.3%) had undergone a confirmatory aspirin challenge, and 11 (14.3%) had undergone an aspirin desensitization. The rate of previous sinonasal surgery was 64.9% in the coexisting NSAID-ERD group and 60.6% in the group without NSAID-ERD. The mean (SD) loss of smell score in patients with coexisting NSAID-ERD was 2.4 (0.85) versus 2.1 (1.16) in patients without (p = 0.0085). Leukotriene receptor antagonist use at baseline was 45.5% in patients with coexisting NSAID-ERD and 29.2% in patients without. CONCLUSION: One-quarter of adults with CRSwNP in AROMA have coexisting NSAID-ERD, and most have not undergone a confirmatory aspirin challenge or desensitization. Patients with CRSwNP with coexisting NSAID-ERD report more severe smell loss at baseline and are more likely to have undergone sinonasal surgery.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".