Analyze Diet
Biometrics2001; 57(1); 294-301; doi: 10.1111/j.0006-341x.2001.00294.x

Statistical evaluation of the regulatory guidelines for use of furosemide in race horses.

Abstract: The pharmacokinetic behavior of furosemide concentrations in performance horses is of great interest to the equine industry and equine researchers. Specifically, such information is useful for the evaluation of the existing guidelines in several racing jurisdictions and for the possible development of new guidelines for varying time periods after administration. We studied several approaches within the framework of nonlinear mixed effects models to increase the accuracy of evaluating these guidelines. Theoretical properties of the proposed methods were examined and the variances of the resulting estimators compared. Their numerical performances were further evaluated through simulations. Finally, we applied these methods to a furosemide concentration profile data set and used our findings to address certain important practical issues.
Publication Date: 2001-03-17 PubMed ID: 11252613DOI: 10.1111/j.0006-341x.2001.00294.xGoogle Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article
  • Research Support
  • Non-U.S. Gov't
  • Research Support
  • U.S. Gov't
  • P.H.S.

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.

The researchers focused on the pharmacokinetic behavior (how the body affects a drug’s concentration over time) of a drug called furosemide in performance horses, in order to better understand and refine the existing guidelines for its use in race horses.

Objective of the Study

  • The key goal of this study was to assess the current rules that govern the use of the drug furosemide in racing horses. The researchers wanted to potentially create new guidelines based on the study’s outcomes.

Research Methodology

  • The method utilized in this research includes nonlinear mixed effects models. This statistical approach helps to change and elevate the accuracy when evaluating the guidelines for using furosemide on horses.
  • The method’s theoretical properties were thoroughly examined, and the variance of the estimators resulting from the model was compared. This is done to determine the model’s robustness and reliability.
  • The researchers also looked at the numerical performance of these approaches via simulations. This serves to bolster their theoretical findings, since simulations can provide realistic and practical values.

Data Utilized in Research

  • In the final part of their research, the scientists used their methods on real-life furosemide concentration profile datasets. This application was done to substantiate their theoretical and simulation findings with practical data.

Research Outcomes and Implications

  • The results of this study were expected to assist in resolving certain important practical issues. While the exact issues aren’t specified in the abstract, it’s likely that they involve the optimal timing and dosage of furosemide to maximize its benefits and minimize its side effects in race horses.
  • The findings might also have an effect on the policy-making decisions in racing jurisdictions. Depending on the results, the authorities might choose to uphold, amend or formulate new guidelines for the use of furosemide in race horses.

Cite This Article

APA
Chu KK, Wang N, Stanley S, Cohen ND. (2001). Statistical evaluation of the regulatory guidelines for use of furosemide in race horses. Biometrics, 57(1), 294-301. https://doi.org/10.1111/j.0006-341x.2001.00294.x

Publication

ISSN: 0006-341X
NlmUniqueID: 0370625
Country: United States
Language: English
Volume: 57
Issue: 1
Pages: 294-301

Researcher Affiliations

Chu, K K
  • Department of Statistics, Texas A&M University, College Station 77843-3143, USA. kchu@stat.tamu.edu
Wang, N
    Stanley, S
      Cohen, N D

        MeSH Terms

        • Animals
        • Biometry
        • Diuretics / administration & dosage
        • Diuretics / pharmacokinetics
        • Doping in Sports
        • False Positive Reactions
        • Furosemide / administration & dosage
        • Furosemide / pharmacokinetics
        • Guidelines as Topic
        • Hemorrhage / prevention & control
        • Hemorrhage / veterinary
        • Horse Diseases / prevention & control
        • Horses / metabolism
        • Lung Diseases / prevention & control
        • Lung Diseases / veterinary
        • Models, Biological
        • Models, Statistical
        • Monte Carlo Method
        • Nonlinear Dynamics
        • Physical Exertion
        • Running

        Grant Funding

        • R01 CA074552 / NCI NIH HHS
        • R01 CA074552-07 / NCI NIH HHS
        • R29-CA-74552 / NCI NIH HHS

        Citations

        This article has been cited 0 times.