Developing a predictive model for spinal shock in dogs with spinal cord injury

Area of Science:

• Veterinary Neurology
• Canine Medicine
• Spinal Cord Injury Research

Background:

• Reduced pelvic limb reflexes in dogs often suggest L4-S3 spinal cord lesions.
• However, T3-L3 myelopathies can also cause reduced reflexes due to concurrent spinal shock.

Purpose of the Study:

• To hypothesize that statistical models can identify clinical variables associated with spinal shock in dogs with spinal cord injuries.
• To develop a predictive model for spinal shock in canine spinal cord injuries.

Main Methods:

• A cohort of 59 dogs with T3-L3 myelopathies and spinal shock and 13 dogs with L4-S3 myelopathies were studied.
• Data were prospectively collected in the International Canine Spinal Cord Injury observational registry.
• Univariable and multivariable logistic regression analyses were performed to identify predictors of spinal shock.

Main Results:

• The final multivariable model included weight, duration of clinical signs, pelvic limb tone, and severity (paresis vs. paraplegia).
• Odds of spinal shock decreased with increasing weight and duration of signs.
• Decreased pelvic limb tone was associated with lower odds of spinal shock, while paraplegia increased the odds.

Conclusions:

• A validated formula could assist clinicians in determining the likelihood of spinal shock.
• This tool can aid in diagnostic planning for dogs with spinal cord injuries.
• Predicting spinal shock improves diagnostic accuracy and treatment strategies.