A Randomised Controlled Trial of High Dose, Inhaled Budesonide Versus Oral Prednisone in Patients Discharged from the Emergency Department following an Acute Asthma Exacerbation
Bibliographic record
Abstract
OBJECTIVE: Prednisone (PRED) is recommended at discharge to reduce the relapse rate following emergency treatment for an asthmatic attack. However, PRED has systemic side effects. Inhaled anti-inflammatory medications, such as budesonide (BUD), are well tolerated. This study was designed to compare the effectiveness of PRED and BUD on relapse rate. DESIGN: A prospective, randomized, double-blind, double dummy, parallel group design. SETTING: Tertiary referral emergency departments. POPULATION STUDIED: One hundred and eighty-five patients with acute asthma who received standard treatment with bronchodilators and systemic glucocorticosteroids in the emergency department, had a forced expiration volume in 1 s (FEV1) greater than 50% predicted and who were deemed well enough to be discharged from the emergency department. INTERVENTION: Patients were randomized to receive either BUD Turbuhaler 600 microg qid or PRED 40 mg in the morning for seven to 10 days. At discharge and final visit, symptoms, medication use, FEV1, peak expiratory flow (PEF) and quality of life (QoL) were assessed. Relapse rate to the emergency department during the follow-up was determined by a yes and/or no questionnaire. MAIN RESULTS: The PRED (n=85) and BUD (n=90) treatment groups were comparable at baseline (emergency department discharge) for age (mean +/- SD; 27.6+/-8.5 years and 29. 2+/-8.7 years) and prebronchodilator FEV1 (1.77+/-0.79 L and 1. 75+/-0.78 L), respectively. BUD was at least as effective as PRED in preventing a relapse to the hospital; relapse rate was 10 (11.8%) during PRED treatment and nine (10.0%) for BUD treatment (95% CI PRED-BUD, -7.5% to 11.0%). Improvements in FEV1, asthma symptoms, PEF and QoL were not significantly different between treatments. CONCLUSIONS: In patients whose acute asthma has been stabilized in the emergency department, high dose BUD may be an alternate to PRED as a follow-up treatment.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".