MétaCan
Menu
← Back to cohort

Reduction of Exacerbations According to Type 2 Inflammatory Biomarkers With Dupilumab Treatment in Patients With Chronic Obstructive Pulmonary Disease (COPD)

2025· article· en· W4410268196 on OpenAlexaff
Simon Couillard, Sanjay Ramakrishnan, Ian Pavord, Yunus Çolak, Roland Buhl, Gaëtan Deslée, Déborah Bauer, Mena Soliman, J. Heble

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMedicineDupilumabCOPDPulmonary diseaseInternal medicineIntensive care medicineAsthma

Abstract

fetched live from OpenAlex

Abstract RATIONALE: Type 2 (T2) inflammatory biomarkers, such as blood eosinophil counts (BEC) or fractional exhaled nitric oxide (FeNO) may help to predict response to therapy. Dupilumab, a human monoclonal antibody, blocks interleukin-4/13 signaling, key and central drivers of T2 inflammation. In BOREAS and NOTUS, add-on dupilumab 300 mg q2w vs placebo reduced moderate-or-severe exacerbation rates and T2 biomarkers and improved lung function in patients with COPD and T2 inflammation. Safety was consistent with the known dupilumab profile. This post hoc analysis of BOREAS and NOTUS explored the predictive value of baseline BEC and FeNO, for response to dupilumab treatment in patients with COPD and T2 inflammation. METHODS: BOREAS (NCT03930732) and NOTUS (NCT04456673), phase 3, randomized, placebo-controlled trials, enrolled 1874 patients (40-85 years) with moderate-to-severe COPD and T2 inflammation (screening BEC ≥300 cells/μL) on triple therapy (inhaled corticosteroids, long-acting β2-agonists, and long-acting muscarinic antagonists). Patients received dupilumab 300 mg q2w or placebo for 52 weeks. The annualized moderate-or-severe exacerbation rates over a range of T2 biomarkers (baseline BEC and FeNO) was evaluated using a negative binominal model which included treatment group, study, region, inhaled corticosteroid dose, smoking status at screening, baseline disease severity, number of moderate-or-severe COPD exacerbation events within one year prior to the study and a first-degree fractional polynomial transformation of the biomarker as a continuous variable, and the biomarker-by-treatment interaction. RESULTS: Reductions in annual exacerbation rates were observed over a range of baseline BEC (estimate [95% CI] – dupilumab: 0.57 [0.51, 0.63] for 300 cells/μL to 0.58 [0.51, 0.65] for 900 cells/μL; placebo: 0.81 [0.73, 0.89] for 300 cells/μL to 0.81 [0.73, 0.89] for 900 cells/μL). Reduction in treatment rate ratio for exacerbations was observed with increasing baseline FeNO levels from 0.69 (0.60, 0.80) (FeNO ≥20 ppb) to 0.56 (0.46, 0.69) (FeNO ≥40 ppb), indicating a significant predictive value (P=0.006) for treatment by baseline FeNO interaction unlike baseline BEC (P=0.087). Reductions in annual exacerbation rates were also observed regardless of baseline IgE levels (estimate [95% CI] – dupilumab: 0.56 [0.50, 0.63] for IgE 100 IU/mL to 0.53 [0.44, 0.63] for IgE 1,000 IU/mL; placebo: 0.82 [0.74, 0.90] for IgE 100 IU/mL to 0.78 [0.67, 0.92] for IgE 1,000 IU/mL). CONCLUSION: In BOREAS and NOTUS, dupilumab reduced exacerbations compared to placebo independently of baseline BEC and IgE. Baseline FeNO levels were associated with a greater response to intervention with dupilumab, implying utility to manage T2 inflammatory COPD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.011
GPT teacher head0.300
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Respiratory and Critical Care Medicine→Same topicChronic Obstructive Pulmonary Disease (COPD) Research→French-language works237,207→