Characterization of Moderate and Severe Asthma Exacerbations in the CAPTAIN Study
Bibliographic record
Abstract
Background Limited data exist on the relative impact of moderate and severe exacerbations on asthma control and impairment. Objective To explore data from the CAPTAIN trial to evaluate the relationship between first moderate or severe exacerbation and changes in lung function, symptoms, physical activity limitation scores, and short-acting β 2 -agonist (SABA) usage to determine the clinical relevance of moderate events. Methods CAPTAIN was a Phase IIIA 24–52-week, multicenter, international, randomized controlled trial evaluating efficacy and safety of fluticasone furoate/umeclidinium/vilanterol (FF/UMEC/VI) versus FF/VI in patients with uncontrolled asthma on inhaled corticosteroid/long-acting β 2 -agonist. Outcomes reportedinclude: first post-randomization exacerbation event by severity (Weeks 1–52), frequency and duration of moderate and severe exacerbations and time course of changes over ±14-day peri-exacerbation period for lung function, symptoms, limitations, and SABA use. Results Of the intent-to-treat population (N=2436), 550 patients (23%) continued to 52 weeks. There were 529 moderate and 546 severe exacerbations. Lung function changes were similar, but symptom, physical activity limitation scores, and SABA use were higher, for severe versus moderate exacerbations. Lung function decline preceded increases in symptom, physical activity limitation scores, and SABA use, irrespective of exacerbation severity. Lung function variables, limitation scores, and SABA use returned to pre-exacerbation baseline after ∼8–12 days for both exacerbation severities. Conclusion While severe events were associated with greater impact on symptoms, physical activity limitations, and SABA use, onset and time to resolution were generally similar for moderate and severe events. Both exacerbation severities represent clinically important deteriorations comprising clinical and functional changes. NCT02924688.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".