Relationship between Overnight Rostral Fluid Shift and Obstructive Sleep Apnea in Nonobese Men
Bibliographic record
Abstract
RATIONALE: The cause of increased pharyngeal collapsibility in patients with obstructive sleep apnea is incompletely understood. In awake healthy subjects, we showed that fluid displacement from the legs into the neck induced by lower body positive pressure reduces upper airway size and increases its collapsibility. Prolonged sitting leads to dependent fluid accumulation in the legs. OBJECTIVES: To test the hypotheses that the apnea-hypopnea index (AHI) during sleep will be related to the amount of fluid spontaneously displaced from the legs overnight, and that this will, in turn, be related to the time spent sitting the previous day. METHODS: In 23 nonobese healthy men referred for sleep studies for suspected obstructive sleep apnea, we assessed the changes in leg fluid volume and in neck circumference from the beginning to the end of the night, and the time spent sitting during the previous day. MEASUREMENTS AND MAIN RESULTS: The overnight change in leg fluid volume correlated strongly with the AHI (r = -0.773, P < 0.001), the change in neck circumference (r = -0.792, P < 0.001), and the time spent sitting (r = -0.588, P = 0.003). Multivariate analysis showed that the only significant independent correlates of the AHI were the overnight changes in leg fluid volume and neck circumference, which together explained 68% of the variability in the AHI among subjects. CONCLUSIONS: These novel findings suggest that overnight rostral fluid displacement from the legs, related to prolonged sitting, may play a previously unrecognized role in the pathogenesis of obstructive sleep apnea in nonobese men that is independent of body weight.
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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) | 0.002 | 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".