An Observational and Translational Pilot Study Phenotyping the Responses to Systemic Corticosteroids in the Management Asthma Attacks (PRISMA): interim translational results.
Bibliographic record
Abstract
Rationale: Asthma attacks are heterogeneous. The response to oral corticosteroids (OCS) may vary with the inflammatory phenotype. Aim: To assess the response to OCS in asthma attacks according to the presence or absence of type (T)2 inflammation (blood eosinophils ≥0.15x109/L and/or exhaled nitric oxide (FeNO) ≥25ppb). Methods: An observational longitudinal pilot study in asthma attacks evaluated before/after prednisone (2 visits: days 0 vs 7) and healthy controls (1 visit). Alarmins, T2 cytokines and chemokines levels were quantified by 9-plex electrochemiluminescent assays in 3 compartments (nasal epithelium, induced sputum, and serum). Results: We report interim results at 50% of target recruitment (n=25 adults, 68% women, 80% GINA steps 4-5, 60% T2-high). Compared to n=13 controls, 12 analytes were abnormal (p<0.05) at visit 1 (Table). In T2-high attacks, prednisone suppressed blood eosinophils (Eos); sputum Eos, interleukin (IL)-4, IL-5 and eotaxin-3; and serum IL-5, IFN and tumour necrosis factor. Suppression of sputum interferon-γ (IFN) occurred significantly more in T2-low than T2-high attacks (Figure). Conclusions: We found a differential effect of OCS in T2-high vs T2-low asthma attacks. Prednisone may blunt airway IFN response in T2-low asthma attacks. Registration: NCT05870215 Funding: APQ, FRQS, Sanofi-Regeneron, bioMérieux erj;64/suppl_68/OA3762/F1 F1 F1
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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 | 0.015 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".