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罗威纳犬和德国牧羊犬髋关节发育不良易感性的比较。

Comparison of susceptibility for hip dysplasia between Rottweilers and German shepherd dogs.

作者信息

Popovitch C A, Smith G K, Gregor T P, Shofer F S

机构信息

Department of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Philadelphia 19104-6010, USA.

出版信息

J Am Vet Med Assoc. 1995 Mar 1;206(5):648-50.

PMID:7744685
Abstract

Passive laxity of the coxofemoral joints, as measured quantitatively by radiographing the joints under stress, has been shown to be an accurate measure of the risk for developing degenerative joint disease (DJD) of the coxofemoral joints. Seventy-four Rottweilers between 12 and 40 months old were evaluated subjectively for radiographic evidence of DJD, using the ventrodorsal view of the pelvis with the coxofemoral joints fully extended and the knees internally rotated (standard hip-extended view). Effect of age, sex, weight, and distraction index on the risk of developing DJD was evaluated by use of a logistic regression model. Results were compared with those from a group of German Shepherd Dogs. Results indicated that in Rottweilers the distraction index was the only statistically significant predictor of the risk of developing DJD of the coxofemoral joint. When German Shepherd Dogs were included in the model, they had a significantly greater risk of developing DJD than did Rottweilers. This finding provides further support for the theory that there are differences in disease susceptibility among breeds and emphasizes the need to develop disease susceptibility curves for all breeds affected by hip dysplasia to facilitate accurate, scientifically based recommendations for breeding or treatment.

摘要

通过在应力下对关节进行X线摄影定量测量的髋股关节被动松弛度,已被证明是髋股关节发生退行性关节病(DJD)风险的准确指标。对74只12至40月龄的罗威纳犬进行主观评估,以寻找DJD的X线证据,采用骨盆腹背位视图,使髋股关节完全伸展且膝关节内旋(标准髋关节伸展视图)。使用逻辑回归模型评估年龄、性别、体重和牵张指数对发生DJD风险的影响。将结果与一组德国牧羊犬的结果进行比较。结果表明,在罗威纳犬中,牵张指数是髋股关节发生DJD风险的唯一具有统计学意义的预测指标。当德国牧羊犬被纳入模型时,它们发生DJD的风险显著高于罗威纳犬。这一发现为不同品种间疾病易感性存在差异的理论提供了进一步支持,并强调需要为所有受髋关节发育不良影响的品种制定疾病易感性曲线,以便为繁殖或治疗提供准确的、基于科学的建议。

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