Pressure algometry for the detection of induced back pain in horses: a preliminary study.
Authors: Haussler K K, Erb H N
Journal: Equine veterinary journal
Summary
# Pressure Algometry for Equine Back Pain Detection Pressure algometry—the application of graduated mechanical force to quantify pain thresholds—offers farriers, veterinarians and physiotherapists an objective tool for localising musculoskeletal pain in horses, an area where subjective clinical assessment has traditionally dominated. Haussler and Erb induced localised back pain in 20 clinically normal horses by surgically implanting fixation pins in the dorsal spinous processes over two consecutive years, then measured mechanical nociceptive thresholds (the force required to elicit a pain response) before surgery, immediately after, and at various intervals. The results were compelling: pressure algometry successfully identified the surgical sites through significantly reduced mechanical nociceptive thresholds at pain sites compared to surrounding landmarks, whilst measurements at distant sites showed no systematic change, demonstrating reliable repeatability and specificity. Crucially, the technique detected both acute hyperalgesia and showed no evidence of the horse becoming desensitised or sensitised over the study period, suggesting stable and clinically meaningful measurements. Whilst this preliminary work establishes proof of concept, practitioners should recognise that pressure algometry requires further clinical validation to determine its utility in diagnosing naturally occurring injuries and guiding pain management decisions in working horses.
Read the full abstract on PubMed
Practical Takeaways
- •Pressure algometry is a promising objective tool for locating and documenting back pain in horses, potentially improving diagnostic accuracy beyond palpation alone.
- •The method shows good repeatability, making it suitable for tracking pain changes over time and monitoring response to treatment.
- •Further clinical validation is needed before pressure algometry can be routinely recommended for musculoskeletal injury assessment in practice.
Key Findings
- •Pressure algometry successfully detected substantial and localized decreases in mechanical nociceptive thresholds at surgical sites compared to surrounding landmarks.
- •Pressure algometry demonstrated unbiased repeatability at sites distant from surgical sites, with median percentage changes centered around zero.
- •No obvious adaptation or sensitization was observed when comparing mechanical nociceptive thresholds from the beginning to the end of the study period.
- •Pressure algometry provides a quantitative and repeatable method for assessing musculoskeletal pain presence in horses.