Effect of a Long- and Short-Acting ??2-Agonist on Exercise-Induced Arterial Hypoxemia
Bibliographic record
Abstract
PURPOSE: determine the effect of formoterol and salbutamol on the arterial oxygen saturation (SaO(2)) of highly trained nonasthmatic athletes with exercise-induced arterial hypoxemia (EIAH). METHODS: Ten male athletes (age = 27.1 +/- 0.7, [OV0312]O(2max) = 65.2 +/- 2.5 mL.kg-1.min-1, SaO(2min) = 91.0 +/- 2.1%) with minimal bronchial reactivity to aerosols (i.e., negative methacholine challenge test) completed three identical exercise sessions differing only by the medication administered. Formoterol (F), a long-acting beta-2 agonist, was compared with salbutamol (S) and a placebo (P). F (12 microg), S (400 microg), or P was administered by a Turbuhaler, 10 min before exercise testing in a double-blind, randomized, three-way crossover design. Testing sessions included an incremental cycle ergometer test to exhaustion, while monitoring SaO(2) and ventilation, and a pre- and postexercise pulmonary function test. RESULTS: There were no significant differences between the groups in SaO(2) nadir with exercise (F = 92.0 +/- 1.0; S = 92.0 +/- 1.0; P = 91.0 +/- 0.7%). During the maximal incremental test, no differences were observed in SaO(2) or minute ventilation between the three experimental conditions. Pulmonary function tests revealed a significant increase in FEV(1) and FEV(1)/FVC after exercise in all conditions. Drug administration increased FEV(1)/FVC postexercise compared with placebo (F = 87.9 +/- 2.3, S = 87.6 +/- 1.7 > P = 85.6 +/- 2.1%; P < 0.05). CONCLUSION: An acute, inhaled, therapeutic dose of formoterol or salbutamol did not affect SaO(2) nadir or ventilation kinetics in a group of highly trained nonasthmatic athletes with EIAH.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".