Adding Long‐acting β‐agonists to Inhaled Corticosteroids after Discharge from the Emergency Department for Acute Asthma: A Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Relapses of asthma following emergency department discharge can be reduced with oral and inhaled corticosteroids (ICSs), but the benefits of long-acting beta-agonists (LABAs) are unclear. OBJECTIVES: To determine whether the addition of a LABA reduces relapses in patients with acute asthma. METHODS: This was a randomized, controlled, double-blind trial of 137 patients, aged 18-55 years, conducted in four Canadian EDs. Patients receiving high-dose ICSs or oral corticosteroids, and those who were medically unstable, were excluded. Patients were randomized to either fluticasone 1,000 microg/day with salmeterol 100 microg/day or fluticasone 1,000 microg/day alone. All patients were discharged on seven days of oral prednisone. The main outcome measure was relapse at 21 days. RESULTS: Both groups had similar baseline characteristics. After 21 days, seven of 69 patients (10.1%) treated with fluticasone/salmeterol and ten of 68 patients (14.7%) treated with fluticasone experienced a relapse (p = 0.42). Prior intubation, female gender, and prior use of ICSs were associated with relapse. There were no clinically or statistically significant differences in overall quality of life and individual domain scores. Fluticasone/salmeterol improved quality of life (p < 0.05) and relapses (24% to 13%; p = 0.35) in patients receiving ICSs at the time of emergency admission. CONCLUSIONS: Outpatient treatment with a short course of systemic corticosteroids combined with ICSs is adequate for most patients with asthma discharged from the emergency department; those already receiving ICS agents may benefit from ICS/LABA combination therapy to improve quality of life. Larger studies are needed to confirm the role of inhaled LABAs in acute asthma.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".