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International journal of veterinary science and medicine2018; 6(2); 227-232; doi: 10.1016/j.ijvsm.2018.08.002

Validity of an established metabolic disorder index as a predictor for metabolic eliminations in endurance horses.

Abstract: Endurance horses are usually eliminated from the race due to lameness, metabolic ailments or technical reasons. The purpose of the study was to determine the validity and reliability of the metabolic disorder index (MDI) in predicting metabolic eliminations in endurance horses during an endurance race. Fifty-four endurance horses competing on two local endurance tracks were involved in the study. Blood samples were collected a day prior to the event to determine packed cell volume (PCV), chloride (Cl), interleukin-6 (IL-6), creatine kinase (CK) and glutathione reductase (GR) concentrations from all participating horses. These parameters were used for the determination of metabolic disorder index in endurance horses at rest (one day before the competition). All data were statistically analysed. In 40, 80 and 120 km race distances, the successfully completed horses had a significant lower serum concentration of CK and a significant higher serum concentration of Cl than the eliminated horses ( < .05). There were no significant differences in PCV, serum concentrations of IL-6 and GR between the successfully completed and eliminated horses in the 40, 80 and 120 km race distances. The MDI at the rest one day before the race could predict potential of metabolic eliminations in endurance horses with at least 78.26%, 80% and 83.33% accuracies in 40, 80 and 120 km race distances. The sensitivity of the MDI was 81.82%, 80% and 100% in the 40, 80 and 100 km race distances. The specificity of the MDI was 80% for the 80 km race distance and 75% for the 40 and 120 km race distances. In conclusion, the metabolic disorder index is a reliable method for the prediction of metabolic eliminations in endurance horses participating in endurance races.
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Publication Date: 2018-08-20 PubMed ID: 30564600PubMed Central: PMC6286403DOI: 10.1016/j.ijvsm.2018.08.002Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This research article investigates the predictive value of a metabolic disorder index in identifying the likelihood of endurance horses being disqualified from racing due to metabolic issues, and finds it to be a reliable method.

Study Objectives and Methodology

  • The main objective of the study was to determine the reliability and validity of the metabolic disorder index (MDI) as a predictor for the elimination of endurance horses from races due to metabolic disorders.
  • The study involved 54 endurance horses that were competing on two local endurance tracks.
  • Blood samples were collected from all the participant horses a day prior to the race to determine the packed cell volume (PCV), chloride (Cl), interleukin-6 (IL-6), creatine kinase (CK), and glutathione reductase (GR) concentrations. These parameters were used to determine each horse’s MDI.
  • The researchers then statistically analyzed all collected data to identify correlations and validate the MDI’s predictive power for metabolic eliminations.

Findings and Interpretation

  • The study found a significant lower serum concentration of CK and a significant higher serum concentration of Cl in horses that successfully completed the races as opposed to those that were eliminated.
  • No significant differences were observed in the PCV, serum concentrations of IL-6 and GR between horses that successfully completed and those eliminated from the races.
  • The MDI, determined at rest one day prior to the races, was found to predict potential metabolic eliminations with varying but high accuracies across the three race distances studied (i.e., 78.26%, 80%, and 83.33% for the 40 km, 80 km, and 120 km races respectively).
  • The sensitivity of the MDI (i.e., its correct detection rate of true positives) was found to be high, between 80% and 100%, across the three race distances.
  • The specificity of the MDI (i.e., its correct detection rate of true negatives) was reported to be 80% for the 80 km race and 75% for the 40 km and 120 km races.
  • These findings suggest that the MDI is a reliable method for predicting metabolic eliminations in endurance horses participating in endurance races.

Implication and Conclusion

  • The conclusions drawn from this study imply that the pre-race MDI could be utilized as a reliable tool for predicting the likelihood of metabolic eliminations in endurance horses, potentially ensuring better horse health management and improving race outcomes.
  • While these findings are promising, further research might be needed to reinforce the results and validate the MDI as a universally valid predictive tool.

Cite This Article

APA
Izzati MRNZ, Noraniza MA, Adamu L, Rasedee A. (2018). Validity of an established metabolic disorder index as a predictor for metabolic eliminations in endurance horses. Int J Vet Sci Med, 6(2), 227-232. https://doi.org/10.1016/j.ijvsm.2018.08.002

Publication

International journal of veterinary science and medicine
ISSN: 2314-4599
NlmUniqueID: 101626221
Country: United States
Language: English
Volume: 6
Issue: 2
Pages: 227-232

Researcher Affiliations

Izzati, M R Nur Zul
  • Department of Veterinary Clinical Studies, Faculty of Veterinary Medicine, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.
Noraniza, M A
  • Department of Veterinary Clinical Studies, Faculty of Veterinary Medicine, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.
Adamu, Lawan
  • Department of Veterinary Clinical Studies, Faculty of Veterinary Medicine, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.
  • Department of Veterinary Medicine, Faculty of Veterinary Medicine, University of Maiduguri, P. M. B. 1069, Maiduguri, Borno State, Nigeria.
Rasedee, A
  • Department of Veterinary Pathology and Microbiology, Faculty of Veterinary Medicine, Universiti Putra Malaysia, Selangor, Malaysia.

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