Gibson Michaela J, Legg Kylie A, Gee Erica K, Rogers Chris W
School of Veterinary Sciences, Massey University, Palmerston North 4442, New Zealand.
School of Agriculture and Environment, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand.
Animals (Basel). 2023 Feb 9;13(4):612. doi: 10.3390/ani13040612.
Race day fatalities as a consequence of catastrophic musculoskeletal injury and cardiac failure are both a welfare concern and provide a challenge for the social perceptions of equine welfare within the racing industry. To reduce race day fatalities, the risk factors under New Zealand racing conditions need to be identified. The aim of this study was to examine race and horse-level risk factors for fatalities in New Zealand Thoroughbred flat racing using retrospective race day data from the 2011/12-2021/22 racing seasons. Horse and race-level factors associated with a suspected cardiac failure and fatal fracture were identified by merging fatality data with the master race dataset for the corresponding seasons. Most fatalities were associated with fatal fracture (0.4 per 1000 starts, 95% CI 0.4-0.5). Horses which raced over distances > 1600 m were 1.7 times (95% CI 1.2-2.5) more likely to sustain a fatal fracture than horses racing ≤ 1600 m. Male horses and firmer track conditions were also associated with an increase in the risk of fatal fracture. Horses aged 5 years and older were 2.1 (95% CI 1.1-4.6) times more likely to suffer a suspected cardiac failure than younger horses. Changes in the industry reporting system improved the level of detail provided for fatalities, enabling the identification of specific risk factors.
因灾难性肌肉骨骼损伤和心力衰竭导致的赛马日死亡事件,既是一个福利问题,也给赛马行业中马的福利的社会认知带来了挑战。为减少赛马日死亡事件,需要确定新西兰赛马条件下的风险因素。本研究的目的是利用2011/12 - 2021/22赛季赛马日的回顾性数据,研究新西兰纯种马平地赛马中死亡事件的赛事和马匹层面的风险因素。通过将死亡数据与相应赛季的主赛事数据集合并,确定了与疑似心力衰竭和致命骨折相关的马匹和赛事层面因素。大多数死亡事件与致命骨折有关(每1000场比赛中有0.4例,95%置信区间为0.4 - 0.5)。比赛距离超过1600米的马匹发生致命骨折的可能性是比赛距离≤1600米的马匹的1.7倍(95%置信区间为1.2 - 2.5)。公马和赛道条件更硬也与致命骨折风险增加有关。5岁及以上的马匹发生疑似心力衰竭的可能性是年轻马匹的2.1倍(95%置信区间为1.1 - 4.6)。行业报告系统的改进提高了死亡事件提供的详细程度,有助于识别特定风险因素。