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Record W4391107896 · doi:10.1111/evj.14065

Respiratory oscillometry testing in relation to exercise in healthy and asthmatic <scp>Thoroughbreds</scp>

2024· article· en· W4391107896 on OpenAlexaff
Chiara Maria Lo Feudo, Luca Stucchi, Davide Bizzotto, Raffaele L. Dellacá, Jean‐Pierre Lavoie, Francesco Ferrucci

Bibliographic record

VenueEquine Veterinary Journal · 2024
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineHorseBronchoconstrictionRespiratory systemBronchoalveolar lavageInternal medicineSpirometryCardiologyPulmonary function testingVO2 maxAsthmaPhysical therapyHeart rateLung

Abstract

fetched live from OpenAlex

Abstract Background Racehorses may experience exercise‐induced bronchodilation or bronchoconstriction, with potential differences between healthy and asthmatic individuals. Objectives To identify exercise‐related lung function variations by oscillometry in racehorses, compare lung function between healthy and mild equine asthma (MEA) horses, assess oscillometry's potential as a predictor of racing fitness. Study design Prospective case–control clinical study. Methods Fourteen Thoroughbred racehorses (5 healthy, 9 MEA) underwent a protocol including respiratory oscillometry at rest, exercise with fitness monitoring, oscillometry at 15 and 45 min post‐exercise, and bronchoalveolar lavage fluid (BALf) cytology. Oscillometry parameters (resistance [Rrs] and reactance [Xrs]) were compared within and between healthy and MEA groups at different timepoints. Associations between Rrs and Xrs at rest and 15 min post‐exercise and BALf cytology and fitness indices were evaluated. Results MEA horses showed higher Rrs at 15 min post‐exercise (0.6 ± 0.2 cmH 2 O/L/s) than healthy horses (0.3 ± 0.1 cmH 2 O/L/s) ( p < 0.01). In healthy horses, Rrs decreased at 15 min post‐exercise compared with resting values (0.5 ± 0.1 cmH 2 O/L/s) ( p = 0.04). In MEA horses, oscillometry parameters did not vary with time. Post‐exercise Xrs inversely correlated with total haemosiderin score ( p < 0.01, r 2 = 0.51). Resting Rrs inversely correlated with speed at 200 bpm ( p = 0.03, r 2 = −0.61), and Xrs with maximum heart rate (HR) during exercise ( p = 0.02, r 2 = −0.62). Post‐exercise Rrs inversely correlated with mean ( p = 0.04, r 2 = −0.60) and maximum speed ( p = 0.04, r 2 = −0.60), and HR variability ( p < 0.01, r 2 = −0.74). Main limitations Small sample size, oscillometry repeatability not assessed, potential interference of upper airway obstructions, external variables influencing fitness indices. Conclusions Oscillometry identified lung function differences between healthy and MEA horses at 15 min post‐exercise. Only healthy horses exhibited exercise‐induced bronchodilation. Oscillometry showed potential in predicting subclinical airway obstruction.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.162
GPT teacher head0.418
Teacher spread0.256 · 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".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

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