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Fatalities within seven days after equine standing sedation: A prospective, multicentre study
Miguel Gozalo-Marcilla1, José I Redondo2, Polly M Taylor3
1The Royal (Dick) School of Veterinary Studies and The Roslin Institute, The University of Edinburgh, Edinburgh, UK.
Equine Veterinary Journal
|June 25, 2026
Summary
Standing sedation in horses carries risks, with a low overall mortality rate of 0.15%. However, colic cases show a significantly higher mortality, underscoring the need for improved safety protocols in equine veterinary medicine.
Area of Science:
- Veterinary Medicine
- Equine Surgery
- Anesthesiology
Background:
- Mortality data for standing equine procedures is limited.
- Standing sedation is increasingly utilized for equine surgeries and diagnostics.
Purpose of the Study:
- To analyze mortality data from a large cohort of over 12,000 standing sedations in horses.
- To identify risk factors and outcomes associated with standing sedation in equine patients.
Main Methods:
- A confidential, observational, prospective, multicenter cohort study involving 12,307 standing sedations across 61 centers in 23 countries.
- Data collected via questionnaire (PDF evolving to webpage) on horses/ponies undergoing sedation for surgery or advanced diagnostic imaging.
- Outcomes (Alive, Euthanasia, Dead) recorded at seven days, with statistical analysis performed using R.
Main Results:
- Overall mortality rate was 0.15% (19/12,307), with 0.13% for non-colic and a significantly higher 4.29% for colic cases.
- Leading causes of death in non-colic cases included abdominal complications (62.5%) and fractures (18.75%).
- Commonly used drugs included detomidine and butorphanol; fluid therapy and loco-regional anesthesia were underutilized, and monitoring was minimal.
Conclusions:
- Standing sedation in horses is not without risk, and unexpected deaths can occur within seven days.
- Mortality rates, particularly in colic cases, highlight the need for further research and improved safety measures.
- Limitations include sample size, potential selection bias, and data collection methods.
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