The contribution of elevated peripheral tissue temperature to venous gas emboli (VGE) formation
Bibliographic record
Abstract
This purpose of this study was to evaluate the contribution of post-dive peripheral tissue warming to the production of venous gas emboli (VGE) in divers. Inert gas elimination from the tissues is limited by both perfusion and diffusion. If changes in diffusion are matched by corresponding perfusion (vasoactive) changes, decompression should be asymptomatic (within allowable exposure limits). Under conditions when the diffusion of inert gas from the tissues is not matched by blood perfusion, VGE will ensue. Increasing tissue temperature will decrease inert gas solubility and thus diffusion into the blood. It has been demonstrated that problems may arise during rapid changes in peripheral temperature, as often occurs post-dive, when divers previously exposed to cold water actively rewarm themselves in showers or baths. The effect of moderate rewarming, however, may be to increase the rate of inert gas elimination without the formation of VGE since increased perfusion is encouraged. The effect of mild post-dive warming was investigated. Ten male subjects, between the ages of 21 and 29 years completed two dry chamber dives to 70 feet for 35 minutes (no decompression limit of the Canadian Forces Air Diving tables). Each dive was followed by a 30 minute head-out immersion in either a thermoneutral (28°C) or warm (38°C) bath. Non-invasive Doppler ultrasonic monitoring was then carried out at 30 minute intervals for the next 150 minutes to assess measurable VGE. Subjects did not display VGE formation in either the control or experimental conditions. Our findings suggest that: 1) the Canadian Forces table limits (for the profile employed) provide safe no-decompression limits not compromised by mild post-dive warming, and 2) mild peripheral warming, since not bubble generating, may be a useful adjunctive therapy in the management of decompression sickness by increasing the rate of inert gas elimination.
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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 | 0.001 | 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".