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Investigation Of The Effects Of Rapid Heat Acquisition And Desloratadine On Hematological Profiles Of Firefighters

2023· article· en· W4387052879 on OpenAlexaff
R King, Thomas W. Service, Lynneth Stuart-Hill

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2023
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Performance
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDesloratadineMedicineWhite blood cellPlaceboPlateletInternal medicineVenous bloodImmunologyPharmacologyPathology

Abstract

fetched live from OpenAlex

Previous research has shown increased platelet counts amongst firefighters exposed to rapid heat stress. However, the extent to which thermal strain contributes to immune responses (i.e., white blood cell count) in structural firefighters (SFF) warrants further investigation. Furthermore, whether desloratadine, an H1 antihistamine, can influence the heat-induced immune response remains to be investigated. PURPOSE: To evaluate the impact of rapid exertional heat stress (EHS) on SFF’s white blood cell (WBC) and platelet (PLT) count, and whether desloratadine influences the hematological response. METHODS: In two separate sessions, five male SFFs (Age: 31.6 +/- 6.44 yrs; Height: 1.91 +/- 0.06 m; Weight 94.83 +/- 12.53 kg; VO2max: 49.96 +/- 6.52 ml/kg/min) walked on a treadmill in structural firefighting protective equipment at 3.0 mph with a 5% incline until reaching volitional maximum or a core temperature (Tc) of 39.5 °C. Participants ingested 10 mg drug/placebo and a Tc capsule 2 hours prior to each session, with an identical drug/placebo dose 24 hours later. Venous blood samples were obtained immediately before, after, and 2-, 24-, 48-, and 72-hours post-heating. RESULTS: Tc increased by a mean of 1.89 +/- 0.44 °C during EHS. No significant differences between drug and placebo were observed for WBC; PLT; and number of lymphocytes (LY), monocytes (MO), neutrophils (NE), eosinophils (EO), and basophils (BA) (p > 0.05). All WBC, PLT, LY, MO, NE, EO, and BA showed significant differences over time following EHS (p < 0.05). Significant elevations in WBC, PLT, LY, & NE were found between baseline and either immediately post or 2 hours post testing (p < 0.05). In both conditions WBC count increased post-test by 36.02-42.35% from baseline (p < 0.05) and continued to increase to 68.76-87.17% 2 hours post-test (p < 0.05). By contrast, PLTs post-test increased by 45.13-49.80% from baseline (p < 0.05) and saw a recovery to 2.56-11.83% above baseline within 2 hours. CONCLUSION: EHS significantly impacts WBC markers and PLT counts within 72 hours post exposure. Desloratadine does not appear to influence these hematological responses.

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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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

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 integrity0.0000.000
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 head0.042
GPT teacher head0.370
Teacher spread0.327 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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