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DOI 10.1111/vsu.13434

Медицинская библиотека · Veterinary surgery : VS · 2020

Body composition of medium to giant breed dogs with or without cranial cruciate ligament disease.

Santarossa Amanda, Gibson Thomas W G, Kerr Carolyn, Monteith Gabrielle J, Durzi Tiffany, Gowland Shannon, Verbrugghe Adronie

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Аннотация

OBJECTIVE

To describe the body composition of dogs with or without cranial cruciate ligament (CCL) disease.

STUDY

DESIGN

Cross-sectional.

ANIMALS: Adult dogs in which CCL disease was diagnosed (n = 30) and adult dogs without clinical signs of orthopedic disease (n = 30).

METHODS

Body weight, body condition score, and muscle condition score (MCS) were recorded. Body composition of the whole body and pelvic limbs were assessed by dual-energy x-ray absorptiometry. Body condition score, whole body, and pelvic limb body composition measurements were compared by using general linear mixed-model analysis of variance. Muscle condition score between groups was assessed by using a Mann-Whitney U test, while paired data were analyzed by using a Wilcoxon signed-rank test.

RESULTS

Body fat percentage (P < .0001) was higher in affected dogs (38.78% ± 1.40) than in control dogs (27.49% ± 1.24). Affected dogs had lower MCS (1.90 ± 0.13, P < .0001) compared with control dogs (2.77 ± 0.08). The affected pelvic limb of affected dogs contained less lean soft tissues (P < .0001) but more fat (P = .0451) compared with the contralateral pelvic limb.

CONCLUSION

Dogs with CCL disease were overweight compared with the control group.

CLINICAL SIGNIFICANCE: Dogs that are overweight may be predisposed to developing CCL disease. Body composition changes in the pelvic limbs should be considered when managing the care of these dogs.

Для цитирования: Santarossa Amanda, Gibson Thomas W G, Kerr Carolyn, Monteith Gabrielle J, Durzi Tiffany, Gowland Shannon, Verbrugghe Adronie. Body composition of medium to giant breed dogs with or without cranial cruciate ligament disease.. Veterinary surgery : VS. 2020. DOI: 10.1111/vsu.13434.

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