H1N1: viral pneumonia as a cause of acute respiratory distress syndrome
Bibliographic record
Abstract
PURPOSE OF REVIEW: To review the literature on novel swine origin influenza A (H1N1 2009) as a cause of respiratory failure and acute respiratory distress syndrome (ARDS). RECENT FINDINGS: H1N1 2009 was first recognized as a pathogen in March of 2009, when there was a spike in the number of cases of influenza-like illness leading to severe and at times fatal pneumonia. The etiologic agent was then identified as a novel H1N1 influenza A virus, which subsequent spread rapidly throughout the globe. Most countries reported cases of severe viral pneumonitis requiring intensive care unit (ICU) admission. Severe disease was noted to occur more commonly in younger patients than those typically affected by seasonal influenza and obesity and pregnancy were associated with severe disease. The majority of patients requiring ICU admission met criteria for ARDS and case fatality ratio was estimated at less than 0.5%. Chest radiographs and pathology resembled ARDS and most patients were treated with low tidal volume ventilation, high positive end expiratory pressure and at times, rescue therapies. Available evidence suggests that early antiviral treatment improves outcomes from H1N1 2009. SUMMARY: H1N1 2009 has emerged as an important cause of ARDS in 2009-2010. Prompt recognition and treatment with antivirals improves outcomes.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".