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Impact of air temperature on core temperature regulation during exercise using a simulated burn injury model

2017· article· en· W2915799420 on OpenAlexaff
Matthew N. Cramer, Gilbert Moralez, Ken Kouda, Daniel Gagnon, Craig G. Crandall

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsTotal body surface areaBurn injuryThermoregulationRelative humidityMedicineCore (optical fiber)Body surface areaCore temperatureAnimal scienceTorsoEvaporationSurgeryAnesthesiaMaterials scienceInternal medicineMeteorologyAnatomyBiologyComposite material

Abstract

fetched live from OpenAlex

Following a burn injury, excision of injured skin and subsequent grafting lead to attenuated sweating rates and thereby a diminished capacity for evaporative heat loss, resulting in exacerbated elevations in core temperature and greater risk of heat illness during physical activities. Since the capacity for evaporation is dependent on the absolute area of non‐injured body surface area (BSA), and the heat load imposed on the body reflects both metabolic and environmental sources of heat gain, the detrimental effect of a burn injury on core temperature regulation during exercise at a given intensity is likely dependent on the interaction between the size of a burn injury and the prevailing air temperature. To test this possibility, four healthy males (23 ± 3 years, 80.1 ± 11.1 kg, 1.98 ± 0.15 m 2 ) visited the laboratory on eight occasions to complete 1 h of cycling at a fixed rate of metabolic heat production (~6 W/kg; indirect calorimetry) in a 39°C or 24°C environment (20% relative humidity) with a simulated burn injury of 0%, 20%, 40%, or 60% BSA. Burn injuries were simulated by covering skin on the torso, arms, and legs with highly absorbent, vapor‐impermeable material that impedes sweat evaporation. Core temperature was measured in the gastrointestinal tract (T gi ). Elevations in T gi at 24°C were not different across all simulated burn injury levels (0%: 0.81 ± 0.13°C, 20%: 0.70 ± 0.20°C, 40%: 0.78 ± 0.14°C, 60%: 0.65 ± 0.16°C; P ≥ 0.32). At 39°C, the increase in T gi was not different between 0% (0.83 ± 0.24°C), 20% (0.96 ± 0.35°C), and 40% (0.99 ± 0.15°C) simulated burn injuries (P ≥ 0.60), but the rise in T gi with a 60% simulated burn injury (1.84 ± 0.16°C) was greater than the other “injury” levels (P<0.05). Consistent with this observation, elevations in T gi were exacerbated at 39°C versus 24°C only with a 60% simulated burn injury (P<0.01). In summary, core temperature reached similarly elevated levels following 1 h of moderate‐intensity exercise with simulated burn injuries of 20%, 40%, and 60% of BSA under temperate environmental conditions, and with simulated burn injuries of 20% and 40% in hot conditions. However, exercise in the heat at the same intensity with a 60% BSA simulated burn injury resulted in a greatly exacerbated elevation in T gi . Therefore, burn survivors with injuries spanning 60% of total BSA may be exposed to a greater risk of hyperthermia and heat illness when working at a fixed intensity in a hot environment. Support or Funding Information Funding: Department of Defense – US Army, W81XWH‐15‐1‐0647

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.046
GPT teacher head0.352
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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