多变量分析确定母马流产的相关风险因素。

Jessica Roach, Juan Carlos Arango Sabogal, Ken Smith, Alastair Foote, Kristien Verheyen, Amanda M de Mestre
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摘要

与马繁殖效率相关的风险因素以及与早孕损失(EPL)相关的风险因素已被确定。相比之下,没有任何研究报告了与流产(着床后第 70 天至 300 天之间的妊娠损失)相关的风险因素。鉴于流产的原因与早孕流产的原因不同,风险因素也可能不同。为了确定与英国和爱尔兰纯血马流产相关的风险因素,我们开展了一项回顾性队列研究,收集了五年内 20 个暴露变量的数据。研究采用广义线性混合模型来评估暴露变量与流产之间的关系,并在母马和牧场层面对观察结果进行分组。变量的似然比检验(LRT)P值为
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Multivariable analysis to determine risk factors associated with abortion in mares.

Risk factors associated with equine reproductive efficiency have been identified along with those associated specifically with early pregnancy loss (EPL). In contrast, no studies have reported risk factors associated with abortion (loss between day 70 and 300 post-cover). Given the causes of abortion differ to those of EPL, likely too will the risk factors. A retrospective cohort study was carried out to identify risk factors associated with abortion in UK and Irish based Thoroughbreds, collecting data on 20 exposure variables over a five-year period. A generalized linear mixed model was utilized to evaluate the associations between exposure variables and abortion, with clustering of observations accounted for at the mare and farm level. Variables with a likelihood ratio test (LRT) p value <0.2 were entered into the model in a forward stepwise approach. Pregnancy outcome was available on 4,439 pregnancies from 2,510 mares. Having had two or more prior abortions (odds ratio (OR) 7.91, 95% confidence interval (CI) 2.86, 21.88), conceiving on the second or subsequent covered estrous cycle (OR 1.84, 95% CI 1.22, 2.78) and conceiving multiple conceptuses (OR 1.68, 95% CI 1.02, 2.76) were associated with an increased risk of abortion compared to null parous, first estrous cycle covers and singleton conceptions respectively. Increasing paternal age (OR 0.95, 95% CI 0.90, 0.99) was associated with a decreasing risk of abortion. Mare and farm variance were not significant in the final model, LRT p=0.43. These findings provide evidence-based data to inform Thoroughbred breeding management practices to help mitigate abortion risk.

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