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Record W4405179396 · doi:10.1007/s12325-024-03051-0

Baseline Characteristics of Dupilumab-Treated Patients with Asthma in the Real World: The RAPID Global Registry

2024· article· en· W4405179396 on OpenAlexaff
Njira Lugogo, Xavier Soler, Yasuhiro Gon, Andréanne Côté, Ole Hilberg, Changming Xia, Yi Zhang, Lucía De Prado Gómez, Paul J. Rowe, Amr Radwan, Juby A. Jacob‐Nara, Yamo Deniz, Anju T. Peters

Bibliographic record

VenueAdvances in Therapy · 2024
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversité Laval
FundersRegeneron PharmaceuticalsSanofi
KeywordsMedicineDupilumabAsthmaExhaled nitric oxideBronchodilatorInternal medicineEosinophilQuality of life (healthcare)Clinical trialAllergyImmunologySpirometry

Abstract

fetched live from OpenAlex

Patients with uncontrolled, moderate-to-severe asthma have a higher risk for exacerbations, negatively impacting lung function and quality of life. Dupilumab, a fully human monoclonal antibody, blocks interleukins 4 and 13, key and central drivers of type 2 inflammation. Dupilumab has been effective in the treatment of certain types of moderate-to-severe asthma across several clinical trials. We describe the characteristics of patients enrolled in RAPID, a global prospective registry, who initiated dupilumab (primary indication: asthma) in a real-world clinical setting. A total of 205 patients (aged ≥ 12 years) were enrolled between March 2020 and October 2021 and are included in this analysis. Data are shown as mean (SD) unless stated otherwise. Patients were aged 50.1 (17.4) years and were mostly female (65.4%) and white (74.1%). At enrollment, 24.4% reported being current/former smokers and 86.8% had moderate-to-severe asthma (Global Initiative for Asthma steps 3–5). A mean (SD) of 4.4 (6.4) severe asthma exacerbations were reported in the year before enrolling in the registry in 78 of 152 patients with available data. Patients had reduced lung function [pre-bronchodilator forced expiratory volume in 1 s (FEV1): 2.3 (1.1) L; pre-bronchodilator percent predicted FEV1: 70.3 (20.3) %] and poor asthma control [6-item Asthma Control Questionnaire: 2.4 (1.2); Asthma Quality of Life Questionnaire: 4.1 (1.3)]. The median (Q1–Q3) blood eosinophil count was 305 (200–695) cells/µL and the mean (SD) fractional exhaled nitric oxide levels were 42 (35) ppb (range: 4–186 ppb). Our findings suggest that most patients who enrolled in RAPID and initiated dupilumab in real-world clinical settings had a high disease burden, despite receiving current standard-of-care treatment at enrollment. Severe asthma can be difficult to control with currently available medicines. Asthma attacks, also called asthma flare-ups or exacerbations, are episodes where symptoms such as coughing, wheezing, shortness of breath, or chest tightness can suddenly occur or worsen, severely affecting quality of life. Dupilumab is a prescription medication used, along with other medicines, to treat asthma. In clinical trials, dupilumab worked well in patients with moderate-to-severe asthma, reducing the number of asthma attacks and improving lung function, characterized by easier breathing. To determine how well dupilumab works outside of a clinical trial setting, we look at studies set in the real world (observational studies). The RAPID registry is an observational study in which adolescents and adults starting dupilumab treatment for asthma are monitored by their doctor. Here, we report information on the first 205 patients who enrolled in the RAPID study between March 2020 and October 2021. At the beginning of the study, doctors diagnosed most patients (87%) with moderate-to-severe asthma. More than half of the patients had at least one severe asthma attack in the previous year but many had more than one (average: 4.4 attacks). Overall, patients had poor lung function, asthma control, and quality of life. Many patients also showed increased levels of markers for type 2 inflammation, an immune response activating cells such as eosinophils, mast cells, and T-cells. Overall, most patients with asthma who started dupilumab in a real-world clinical setting had a high disease burden, despite receiving standard-of-care treatment at the time of enrollment.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score0.257

Codex and Gemma teacher scores by category

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

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 head0.007
GPT teacher head0.287
Teacher spread0.280 · 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 teacher head, 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

Citations1
Published2024
Admission routes1
Has abstractyes

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