Impact of Exacerbation History on Dupilumab Efficacy in Children with Uncontrolled Moderate-to-Severe Asthma: LIBERTY ASTHMA VOYAGE Study
Bibliographic record
Abstract
Theresa W Guilbert,1 Alberto Tolcachier,2 Alessandro G Fiocchi,3 Constance H Katelaris,4,5 Wanda Phipatanakul,6,7 Philippe Begin,8 Inés de Mir,9 Arman Altincatal,10 Rebecca Gall,11 Olivier Ledanois,12 Amr Radwan,11 Juby A Jacob-Nara,13 Yamo Deniz,11 Paul J Rowe13 1Department of Pediatrics, Cincinnati Children’s Hospital and University of Cincinnati, Cincinnati, OH, USA; 2Center for Allergy and Respiratory Diseases, Buenos Aires, Argentina; 3Bambino Gesù Children’s Hospital IRCCS, Rome, Italy; 4Department of Medicine, Campbelltown Hospital, Campbelltown, NSW, Australia; 5Immunology & Allergy Unit, Western Sydney University, Sydney, NSW, Australia; 6Department of Allergy and Immunology, Boston Children’s Hospital, Boston, MA, USA; 7Department of Pediatrics, Harvard Medical School, Boston, MA, USA; 8Centre Hospitalier Universitaire (CHU) Sainte-Justine, Montreal, QC, Canada; 9Pediatric Pulmonary Unit, Hospital Universitari Vall d’Hebron, Barcelona, Spain; 10Sanofi, Cambridge, MA, USA; 11Regeneron Pharmaceuticals Inc., Tarrytown, NY, USA; 12Sanofi, Paris, France; 13Sanofi, Bridgewater, NJ, USACorrespondence: Theresa W Guilbert, Cincinnati Children’s Hospital and University of Cincinnati, 3333 Burnet Ave, Cincinnati, OH, 45229, USA, Tel +1 513-636-6771, Email theresa.guilbert@cchmc.orgPurpose: Dupilumab, a fully human monoclonal antibody, blocks the shared receptor component for interleukins-4/-13, key and central drivers of type 2 inflammation in multiple diseases. This post hoc analysis of the Phase 3 LIBERTY ASTHMA VOYAGE study (NCT02948959) evaluated the efficacy of dupilumab in children aged 6 to 11 years with moderate-to-severe asthma with a type 2 inflammatory phenotype (blood eosinophil count ≥ 150 cells/μL or fractional exhaled nitric oxide [FeNO] ≥ 20 ppb) and a history of 1, 2, or ≥ 3 prior exacerbations. The impact of baseline type 2 biomarker levels on the efficacy of dupilumab in this population was also investigated.Patients and Methods: Patients were stratified by the number of exacerbations in the prior year (1, 2, or ≥ 3) and level of FeNO or blood eosinophil count at baseline. Endpoints included rate of severe exacerbations, percentage of non-exacerbators, and change from baseline in both lung function parameters (pre- and post-bronchodilator [BD] percent predicted forced expiratory volume in 1 s (ppFEV1) and ppFEV1/forced vital capacity [FVC] ratio) and Asthma Control Questionnaire 7 Interviewer-Administered (ACQ-7-IA) score.Results: A total of 350 patients were included in this analysis. Across patients with 1, 2, or ≥ 3 prior exacerbations and different levels of type 2 biomarkers, dupilumab reduced the risk of severe asthma exacerbations vs placebo by 53.0– 96.0% and improved both pre-BD ppFEV1 and pre-BD FEV1/FVC ratio at Week 52. Dupilumab led to significant reductions in ACQ-7-IA scores in all groups of patients by Week 52.Conclusion: In children with uncontrolled, moderate-to-severe asthma with a type 2 phenotype, dupilumab consistently reduced the risk of asthma exacerbations, improved lung function, and reduced ACQ-7-IA scores, regardless of exacerbation history. Keywords: pediatric asthma, type 2 asthma, lung function, asthma control, biologics, anti-interleukin-4 and -13
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".