Epidemiology of Acute Lung Injury and Acute Respiratory Distress Syndrome
Bibliographic record
Abstract
Acute respiratory distress syndrome (ARDS) is a heterogeneous disorder that may be triggered by myriad etiologies (both pulmonary and extrapulmonary). Mortality rates for ARDS range from 30 to 75%, and most deaths are a consequence of multiorgan failure (MOF). Since the sentinel description of ARDS in 1967, criteria for the diagnosis of this entity were refined. In 1992, diagnostic criteria for ARDS were published in an American-European Consensus Conference and the term ACUTE LUNG INJURY (ALI) was adopted to encompass patients with a spectrum of less severe forms of the same pathological entity. This review discusses limitations of various criteria utilized to diagnosis ARDS and ALI, and why some criteria may be problematic when designing clinical trials. Also discussed are the myriad causes of ARDS, incidence, epidemiology, mortality, and factors that influence outcome.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".