Speed and Cardiac Recovery Variables Predict the Probability of Elimination in Equine Endurance Events

PloS One
Mohamed YounesE Barrey

Abstract

Nearly 50% of the horses participating in endurance events are eliminated at a veterinary examination (a vet gate). Detecting unfit horses before a health problem occurs and treatment is required is a challenge for veterinarians but is essential for improving equine welfare. We hypothesized that it would be possible to detect unfit horses earlier in the event by measuring heart rate recovery variables. Hence, the objective of the present study was to compute logistic regressions of heart rate, cardiac recovery time and average speed data recorded at the previous vet gate (n-1) and thus predict the probability of elimination during successive phases (n and following) in endurance events. Speed and heart rate data were extracted from an electronic database of endurance events (80-160 km in length) organized in four countries. Overall, 39% of the horses that started an event were eliminated--mostly due to lameness (64%) or metabolic disorders (15%). For each vet gate, logistic regressions of explanatory variables (average speed, cardiac recovery time and heart rate measured at the previous vet gate) and categorical variables (age and/or event distance) were computed to estimate the probability of elimination. The predictive logist...Continue Reading

References

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Citations

Dec 29, 2016·American Journal of Veterinary Research·C Langdon FieldingK Gary Magdesian
Jul 14, 2017·Frontiers in Genetics·Anne RicardEric Barrey
Jan 17, 2020·Animals : an Open Access Journal From MDPI·Arno LindnerFederico Boffi

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