<scp>N</scp> ‐butylscopolammonium bromide causes fewer side effects than atropine when assessing bronchoconstriction reversibility in horses with heaves
Bibliographic record
Abstract
REASONS FOR PERFORMING STUDY: Bronchospasm results in airway obstruction in horses with heaves. Atropine is the most potent bronchodilator drug currently available for horses, but is associated with side effects that limit its use. Like atropine, N-butylscopolammonium bromide (NBB) is an anticholinergic agent with bronchodilatory properties. OBJECTIVES: To compare the bronchodilating effects and side effects of atropine and NBB in horses with heaves. STUDY DESIGN: Cross-over experiment using horses with heaves. METHODS: Eight horses with heaves were administered atropine and NBB, using a cross-over design. Heart rate, pupillary dilatation, transrectal palpation, lung mechanics (maximal changes in transpulmonary pressure, pulmonary resistance and elastance) and arterial blood gases were assessed before and 10 and 30 min after drug administration. RESULTS: One horse treated with atropine developed colic. Significant pupillary dilatation was observed only with atropine. Tachycardia developed in all horses, but was more marked with atropine. Lung function improved with both drugs, but elastance values had returned to baseline at 30 min with NBB. There was no improvement in arterial hypoxaemia with either drug. CONCLUSIONS: The study indicated that the bronchodilatory properties of NBB were not statistically different from those of atropine, but were of shorter duration. N-butylscopolammonium bromide was associated with fewer systemic side effects, and therefore NBB should be preferred over atropine when assessing the reversibility of airway obstruction in horses.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".