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Factors contributing to plasma TCO <sub>2</sub> and acid‐base state in Ontario Standardbred racehorses

2010· article· en· W1545213660 on OpenAlexaffabout
Amanda P. Waller, Wendy Pearson, Michael I. Lindinger

Bibliographic record

VenueEquine Veterinary Journal · 2010
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHorseAnimal scienceAnion gapChemistryMedicineInternal medicineBiology

Abstract

fetched live from OpenAlex

REASONS FOR PERFORMING STUDY: Standardbred and Thoroughbred racehorses around the world are tested for performance enhancing substances. Among these are blood alkalising substances that raise plasma pH and total carbon dioxide (TCO(2)) concentration. However, many horses have an elevated TCO(2) due to dietary, environmental and health concerns without having been administered an alkalising substance. OBJECTIVES: The purposes of this study were to determine the acid-base profile of a cross section of Standardbred horses in racing/race training in Ontario and the main independent variables that contributed to acid-base state. MATERIALS AND METHODS: On nonracing days, blood from 211 horses at rest, from 9 training facilities, was analysed within 30 min for plasma pH (7.406 ± 0.039; mean ± s.e.), PCO(2) (50.0 ± 3.4 mmHg), from which [HCO(3)(-)] (31.2 ± 2.8 mmol/l) and [TCO(2)] (33.1 ± 2.9 mmol/l; range 25.66-42.9) were calculated. From these, a subset of 161 horses had full data sets for plasma protein and strong ion concentrations. These data were further analysed by facility and level of TCO(2). Data on nutrition, training, racing and medications were also collected. RESULTS: There were significant differences amongst facilities with respect to plasma pH, TCO(2), strong ion difference ([SID]), PCO(2) and total weak acid concentration ([A(tot)]). Horses having the highest TCO(2) (37.0-42.9 mmol/l, n = 16) had significantly higher [SID] (52.9 ± 0.8 mEq/l) and PCO(2) (52.5 ± 0.7 mmHg) and relatively low [A(tot)] (14.9 ± 0.7 mEq/l) compared to average TCO(2) (32.1.0-34.9 mmol/l) horses (n = 75). In horses with the lowest TCO(2) (n = 11) the greatest contributor was elevated [A(tot) ] (21.0 ± 0.7 mEq/l) and unmeasured (acetate, citrate, proprionate, butyrate) weak acids (7.0 ± 0.2 mEq/l) while [SID] (49.6 ± 0.8 mEq/l) and PCO(2) (47.8 ± 1.0 mmHg) were similar to average TCO(2) horses. Thirty-two horses had a TCO(2) ranging from 35.0-36.9 mmol/l). CONCLUSIONS: There is a wide range of acid-base state and factors contributing to acid-base state amongst Standardbred race horses in Ontario. Dietary, environmental and handling practices and health concerns, that elevate plasma [SID], lower [A(tot)] and lower the concentration of unmeasured weak acids are the primary contributors to alkalosis and elevated TCO(2).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.789
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.004
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 head0.099
GPT teacher head0.359
Teacher spread0.259 · 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 teacher head, not a consensus.

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".

Quick stats

Citations11
Published2010
Admission routes2
Has abstractyes

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