Georgopoulos Stamatis Panagiotis, Parkin Tim D H
School of Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, 464 Bearsden Road, Glasgow G61 1QH, UK.
School of Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, 464 Bearsden Road, Glasgow G61 1QH, UK.
Prev Vet Med. 2017 Apr 1;139(Pt B):99-104. doi: 10.1016/j.prevetmed.2016.12.006. Epub 2016 Dec 12.
The aim of this paper is to identify risk factors associated with equine fractures in flat horse racing of Thoroughbreds in North America. Equine fractures were defined as any fracture sustained by a horse during a race. This was a cohort study that made use of all starts from the racecourses reporting injuries. The analysis was based on 2,201,152 racing starts that represent 91% of all official racing starts in the USA and Canada from 1st January 2009-31st December 2014. Approximately 3,990,000 workout starts made by the 171,523 Thoroughbreds that raced during that period were also included in the analysis. During this period the incidence of equine fractures was 2 per 1000 starts. The final multivariable logistic regression models identified risk factors significantly associated (p<0.05) with equine fracture. For example, horses were found to have a 32% higher chance of sustaining a fracture when racing on a dirt surface compared to a synthetic surface; a 35% higher chance if they had sustained a previous injury during racing and a 47% higher chance was also found for stallions compared to mares and geldings. Furthermore, logistic regression models based on data available only from the period 2009-2013 were used to predict the probability of a Thoroughbred sustaining a fracture for 2014. The 5% of starts that had the highest score in our predictive models for 2014 were found to have 2.4 times (95% CI: 1.9-2.9) higher fracture prevalence than the mean fracture prevalence of 2014. The results of this study can be used to identify horses at higher risk on entering a race and could help inform the design and implementation of preventive measures aimed at minimising the number of Thoroughbreds sustaining fractures during racing in North America.
本文旨在确定与北美纯种马平地赛马中马骨折相关的风险因素。马骨折定义为马在比赛期间遭受的任何骨折。这是一项队列研究,利用了报告有受伤情况的赛马场的所有参赛记录。分析基于2201152次参赛记录,这些记录代表了2009年1月1日至2014年12月31日美国和加拿大所有官方参赛记录的91%。在此期间参赛的171523匹纯种马进行的约3990000次训练参赛记录也纳入了分析。在此期间,马骨折的发生率为每1000次参赛2例。最终的多变量逻辑回归模型确定了与马骨折显著相关(p<0.05)的风险因素。例如,与在合成表面比赛相比,马在泥地表面比赛时骨折的几率高32%;如果它们在之前的比赛中受过伤,骨折几率高35%,并且与母马和阉马相比,种马骨折几率高47%。此外,基于2009 - 2013年期间可用数据的逻辑回归模型用于预测2014年纯种马骨折的概率。在我们2014年的预测模型中得分最高的5%的参赛记录被发现骨折发生率比2014年的平均骨折发生率高2.4倍(95%置信区间:1.9 - 2.9)。这项研究的结果可用于识别参赛时风险较高的马匹,并有助于为旨在尽量减少北美纯种马在比赛中骨折数量的预防措施的设计和实施提供信息。