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Decision for surgery.

N G Ducharme1, J E Lowe

  • 1Department of Clinical Sciences, New York State College of Veterinary Medicine, Cornell University, Ithaca.

The Veterinary Clinics of North America. Equine Practice
|April 1, 1988
PubMed
Summary
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This study offers three decision trees to help veterinarians manage horses with abdominal pain. These tools aid in distinguishing medical from surgical cases based on clinical signs.

Area of Science:

  • Veterinary Medicine
  • Equine Surgery
  • Clinical Decision-Making

Background:

  • Abdominal pain in horses presents a diagnostic challenge, often requiring differentiation between medical and surgical etiologies.
  • Clinical variables such as rectal examination findings, abdominal distention, fluid accumulation, and pain severity are crucial for assessment.
  • Existing knowledge primarily stems from referral centers, potentially skewing the prevalence of surgical cases.

Purpose of the Study:

  • To develop practical decision-making tools for veterinarians managing equine abdominal pain.
  • To guide clinicians in differentiating medical versus surgical conditions in horses.
  • To improve the accuracy of identifying surgical lesions and estimating survival rates.

Main Methods:

  • Development of three distinct clinical decision trees.

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  • Utilizing key clinical variables: rectal examination, abdominal distention, abdominal fluid, and intractable pain.
  • Focusing on horses where life expectancy and financial constraints have been considered.

    • Main Results:

    • The provided decision trees offer a structured approach to equine abdominal pain management.
    • The tools aim to assist in the critical decision between medical and surgical intervention.
    • Acknowledges the influence of referral center data on diagnostic accuracy.

    Conclusions:

    • Decision trees can aid veterinarians in managing horses with abdominal pain.
    • Accurate differentiation between medical and surgical cases is essential for optimal outcomes.
    • Awareness of data origin (referral vs. general practice) is important for interpreting diagnostic accuracy.