Acute Respiratory Distress Syndrome in Veterinary Medicine—The ARDSVet Definitions
Bibliographic record
Abstract
OBJECTIVE: To use a systematic, evidence-based consensus process to develop updated definitions for acute respiratory distress syndrome (ARDS) in veterinary medicine to facilitate its recognition and diagnosis. DESIGN: International consensus conference series involving 12 multidisciplinary international content experts from three countries, using consensus conference methodology and implementation science. A systematic review of the literature was carried out for ARDS and acute lung injury in veterinary medicine. Updated definitions of ARDS were generated based on synthesis of human and veterinary literature. Consensus on the definitions was achieved through Delphi-style surveys involving the above subject matter experts. Draft recommendations were made available through industry specialty listservs for feedback, which was incorporated in the final definitions. RESULTS: Updated definitions were developed for Veterinary Acute Respiratory Distress Syndrome (ARDSVet) in small animals (dogs and cats) and large animals (equids). For small animals, 690 publications were identified for dogs and 99 were identified for cats in the initial literature search. Seventeen cats and 103 dogs with ARDS were represented across these publications. For the initial literature search in large animals, there were 83 equid, five camelid, 158 pig, 714 sheep and goat, and 270 cattle publications identified. Additionally, 1084 publications were found across all large animals that addressed interstitial lung disease. Five adult equids and 136 foals with ARDS were represented across these publications. The updated ARDSVet definitions incorporate criteria for risk factors, origin and timing of pulmonary edema, and impaired oxygenation, with severity stratified by oxygenation and definitions for both intubated and nonintubated animals. CONCLUSIONS: The evidence review and consensus process resulted in updated definitions that can be used to improve the recognition of veterinary ARDS as well as facilitate and standardize future research, including the development of an ARDS registry and eventual treatment recommendations.
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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 | 0.087 | 0.134 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.026 | 0.015 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.005 | 0.011 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".