Management of severe acute asthma in the emergency department
Bibliographic record
Abstract
PURPOSE OF REVIEW: Asthma is one of the most common chronic diseases in most developed countries and control may be elusive. Deterioration in asthma control is common when patients are exposed to airway irritants, viruses, and/or when adherence to chronic anti-inflammatory medications is suboptimal. Acute asthma exacerbations are common, important reasons for presentations to emergency departments, and severe cases may result in hospitalization. Important knowledge gaps exist in what is known and what care is delivered at the bedside. RECENT FINDINGS: The literature in asthma is rapidly expanding and recent advances in the care are important to summarize. Systematic reviews, especially high-quality syntheses performed using Cochrane methods, provide the best evidence for busy clinicians to remain current. Management of asthma is based on early recognition of severe disease with aggressive therapy using multimodal interventions that focus on both bronchoconstriction and inflammatory mechanisms. SUMMARY: Treatment of severe acute asthma can effectively and safely reduce hospitalizations, airway interventions, and even death. Using the approach outlined herein will enable clinicians to assist patients to rapidly regain asthma control, return to normal activities, and improve their quality of life in the follow-up period.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".