Peer-reviewed veterinary case report
Using the Unger system to classify 386 long bone fractures in dogs.
- Journal:
- The Journal of small animal practice
- Year:
- 1998
- Authors:
- Miller, C W et al.
- Affiliation:
- Department of Clinical Studies · Canada
- Species:
- dog
Plain-English summary
Researchers looked at a system for classifying long bone fractures in dogs, using information from 386 cases. They found that while the system was generally easy to use, there were some challenges in classifying certain types of fractures, like those in the upper part of the ulna. By comparing the results of repairs for different types of fractures, they discovered that fractures in the femur (the thigh bone) tended to heal less well than fractures in the radius/ulna or tibia/fibula (the bones in the forelimb and lower leg). Overall, the study showed that the classification system was useful, but the outcomes for femoral fractures were not as good as for the other types.
Abstract
A system already described by Unger and others was used to classify long bone fractures in dogs. The present paper reports experiences using the fracture classification system regarding its ease of use and the ability to analyse the data generated. Three hundred and eighty-six canine long bone fractures were classified from radiographs. Results were assessed by reviewing the medical records or by sending questionnaires to referring veterinarians. There were a few inconsistencies, particularly in classifying proximal ulnar fractures, but the system was easy to use and data retrieval was readily accomplished. Data from the system were used to compare the results of repairs of diaphyseal fractures of the radius/ulna, femur and tibia/fibula. A chi square analysis was used to determine significant differences between the outcome scores of the three fracture types. Fractures of the femoral diaphysis had a statistically poorer outcome than did diaphyseal fractures of the radius/ulna or tibia/fibula.
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Search related cases →Original publication: https://pubmed.ncbi.nlm.nih.gov/9741875/