Regenerative medicine for treatment of canine elbow osteoarthritis

Anesi, Simone (2022) Regenerative medicine for treatment of canine elbow osteoarthritis. MVM(R) thesis, University of Glasgow.

Abstract

This masters project explores the use of two regenerative therapies (i.e V-PET platelet concentrate and Orthokine autologous conditioned sera) as treatment for dogs suffering from elbow osteoarthritis. Cases were recruited from patients presented to the orthopaedic service of the Small Animal Hospital of the University of Glasgow, and also directly from the general veterinary practices in the area. Nine dogs met the inclusion criteria: eight were given either V-Pet (three dogs) or Orthokine (five dogs) administered intraarticularly into the worse affected elbow, and one dog was given both treatments, one year apart. No patient suffered any adverse side effects.

Response to treatment was assessed using a pressure walkway (Strideway HRSW3, Tekscan, South Boston, USA), a LOAD questionnaire and a VonFrey electronic anaesthesiometer.

No statistically significant differences were identified in outcomes between the two treatment groups, but results were very likely affected by the small size of the population studied (potential for Type 2 error).

Based on the results of this project it was not possible to provide evidence of an effect of these therapies on the clinical signs of elbow osteoarthritis in dogs, and further research in a larger population is warranted. However, the treatments were well tolerated with no reported side effects.

• Item Type: Thesis (MVM(R))
• Qualification Level: Doctoral
• Subjects: S Agriculture > SF Animal culture > SF600 Veterinary Medicine
• Colleges/Schools: College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
• Supervisor's Name: Corr, Professor Sandra
• Date of Award: 2022
• Depositing User: Theses Team
• Unique ID: glathesis:2022-83032
• Copyright: Copyright of this thesis is held by the author.
• Date Deposited: 15 Jul 2022 09:05
• Last Modified: 15 Jul 2022 09:08
• Thesis DOI: 10.5525/gla.thesis.83032
• URI: https://theses.gla.ac.uk/id/eprint/83032