Oxygen Uptake Kinetics Are Slowed in Cystic Fibrosis
Bibliographic record
Abstract
PURPOSE: There are conflicting reports on the kinetics of oxygen uptake at the onset of exercise in patients with cystic fibrosis (CF). The objective of the present study was, therefore, to compare oxygen uptake (VO(2) kinetics in patients with CF with those of healthy controls (CON). METHODS: Eighteen CF patients (FEV1 37-98% predicted) and 15 CON aged 10-33 yr completed two to four transitions from low-intensity cycling (stage 1, 20 W) to cycling at 1.3-1.4 W.kg(-1) body weight (stage 2). There was no difference between groups in heart rate at stages 1 and 2 or in relative exercise intensity, as expressed as percent VO(2peak) or percentage of ventilatory threshold. However, oxygen saturation (SpO(2)) was lower in the patients with CF during both stages. VO(2) data were interpolated second by second, time-aligned, and averaged. Monoexponential equations were used to describe phase II VO(2) responses. RESULTS: Although there were no differences between CF and CON in amplitude (10.9 +/- 1.8 vs 10.2 +/- 1.6 mL O2.W(-1)) of phase II VO(2) response, the time constant tau was significantly prolonged in CF compared with CON (36.8 +/- 13.6 vs 26.4 +/- 9.1 s). When tau was adjusted for the effects of FEV1 or SpO(2) during submaximal exercise, the difference between CF patients and controls disappeared. CONCLUSION: VO(2) kinetics are slowed in CF, which may, in part, be attributed to an impairment of oxygen delivery.
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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) | 0.000 | 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 | 0.000 |
| 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".