Bristol Veterinary School, University of Bristol, Langford House, Langford, Bristol, BS40 5DU, UK.
British Horseracing Authority, 75 High Holborn, London, WC1V 6LS, UK.
Sci Rep. 2023 Mar 14;13(1):3063. doi: 10.1038/s41598-023-27892-x.
The development of exertional heat illness (EHI) is a health, welfare and performance concern for racehorses. However, there has been limited multivariable assessment of the possible risk factors for EHI in racehorses, despite such information being vital for regulators to effectively manage the condition. Consequently, this study aimed to identify the risk factors associated with the occurrence of EHI in Thoroughbred racehorses and assess the ability of the risk factor model to predict the occurrence of EHI in racehorses to assist in early identification. Runners at British racecourses recorded in the British Horseracing Authority database between 1st July 2010 and 30th April 2018 were used to model the probability that a horse would present with EHI as a function of a suite of environmental, horse level and race level factors. EHI was reported in 0.1% of runners. Race distance, wet bulb globe temperature, preceding 5-day temperature average, occurrence of a previous EHI incident, going, year and race off time were identified as risk factors for EHI. The model performed better than chance in classifying incidents with a mean area under the receiver operating characteristic curve score of 0.884 (SD = 0.02) but had a large number of false positives. The results provide vital evidence for industry on the need to provide appropriate cool down facilities, identify horses that have repeated EHI incidents for early intervention, and collect new data streams such as on course wet bulb globe temperature measurements. The results are especially relevant as the sport is operating in a changing climate and must mitigate against more extreme and longer spells of hot weather.
运动性热病(EHI)的发生是赛马健康、福利和表现的关注焦点。然而,尽管此类信息对于监管机构有效管理该病至关重要,但对赛马发生 EHI 的可能危险因素进行多变量评估的工作却十分有限。因此,本研究旨在确定与纯种赛马发生 EHI 相关的危险因素,并评估危险因素模型预测赛马发生 EHI 的能力,以协助早期识别。在 2010 年 7 月 1 日至 2018 年 4 月 30 日期间,在英国赛马管理局数据库中记录的英国赛马场上的赛马被用于建立模型,以预测赛马出现 EHI 的概率,作为一系列环境、马体水平和比赛水平因素的函数。报告称,0.1%的赛马出现了 EHI。比赛距离、湿球温度、前 5 天的平均温度、先前发生 EHI 事件的次数、赛道情况、年份和比赛开始时间被确定为 EHI 的危险因素。该模型在分类事件方面表现优于随机,其平均接收者操作特征曲线下面积得分为 0.884(SD=0.02),但存在大量假阳性。这些结果为行业提供了重要证据,表明有必要提供适当的冷却设施,识别出重复发生 EHI 事件的马匹,以便进行早期干预,并收集新的数据流,例如赛道上的湿球温度测量数据。这些结果尤其重要,因为该运动正处于气候变化之中,必须应对更极端和更长时间的炎热天气。