CONCEPTION AND VALIDATION OF A REFLUX LARYNGITIS MODEL INNEWBORN LAMBS
Bibliographic record
Abstract
Background: Daily clinical observations and a recent study (D Vermeylen et al., 2004) suggest that reflux laryngitis (RL) is involved in apneas/ bradycardias of the newborn. The aim of this study is to develop and tovalidate a unique RL model in newborn lambs to test the assumption that a RL provokesan increase in apneas/ bradycardias/ desaturations observed within thelaryngeal chemoreflexes induced by the contact of a liquid with the larynx. Methods: A surgical instrumentation was performed on the first day of life, which included the insertion of a transcutaneous esophageal catheter in order to allow instillation of a gastric juice surrogate (HCl +pepsin at pH 2) directly on the larynx. The 2 ml-instillations were made 3 times per day for 6 consecutive days. At day 9-10 laryngeal chemoreflexes were induced during sleep. The larynx was removed at the time of necropsy to grade inflammation by a histological study. Results: Lambs in which a RL was induced (n = 4) presented characteristic signs of RL: cough, weak bleat, reduction in weight gain. Preliminary histological analyses showed a characteristic laryngeal inflammation. Preliminary results showing that apneas and oxygen desaturations seem more prominent in RL lambs than controls provided further validation ofour RL model. Conclusion: The ovine model developed in this study presents theclinical and histological characteristics of RL observed in newborns. Preliminary results suggesting that a RL increases apneas/bradycardias/desaturations when a liquid is in contact with laryngealmucosa in the newborn must be confirmed. Supported by: CIHR, FRSQ, Foundation of stars.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".