Fielding C Langdon, Meier Chloe A, Balch Olin K, Kass Phillip H
Loomis Basin Equine Medical Center, 3901 Sierra College Blvd, Loomis, CA 95650, USA.
J Am Vet Med Assoc. 2011 Aug 15;239(4):493-8. doi: 10.2460/javma.239.4.493.
To identify risk factors such as signalment, previous competition miles completed, ride characteristics, and physical examination variables associated with the elimination of horses during endurance competitions.
Retrospective observational study.
Veterinary records for 3,493 endurance horse competition starts.
Records were requested of all sanctioned 2007 endurance horse competitions in the United States. Only rides that provided data from all horses were included. The horse's signalment, previous endurance competition record, specific ride characteristics, weight division (ie, based on rider's weight with tack), and physical examination variables throughout the ride were included for analysis. Examination variables were separated into abnormalities occurring prior to the start of the ride, during the first half of the ride, and during the second half of the ride. Multivariate logistic regression was used to identify risk factors for overall elimination and elimination subcategories (lameness and metabolic).
Specific breeds, the heavyweight division, and distance of the ride were all associated with an increased risk of elimination. A variety of examination variables prior to the start of the ride and during the ride were associated with elimination and included heart rate, cardiac recovery index, and abnormal gastrointestinal sounds.
Results suggested that specific risk factors were associated with elimination of horses from endurance competitions. These factors may be used to help identify horses at higher risk for elimination and prevent morbidity associated with competition.
确定与耐力赛中马匹被淘汰相关的风险因素,如特征、之前完成的比赛里程、骑行特点以及体格检查变量。
回顾性观察研究。
3493次耐力赛马比赛开始时的兽医记录。
索取了美国2007年所有经批准的耐力赛马比赛的记录。仅纳入了能提供所有马匹数据的比赛。分析内容包括马匹的特征、之前的耐力赛记录、特定的骑行特点、体重分组(即根据骑手负重时的体重)以及整个骑行过程中的体格检查变量。检查变量被分为骑行开始前、骑行前半程和骑行后半程出现的异常情况。采用多变量逻辑回归来确定总体淘汰以及淘汰子类别(跛行和代谢问题)的风险因素。
特定品种、重量级分组和骑行距离均与淘汰风险增加相关。骑行开始前和骑行过程中的多种检查变量与淘汰相关,包括心率、心脏恢复指数和异常的胃肠声音。
结果表明特定风险因素与耐力赛中马匹被淘汰相关。这些因素可用于帮助识别淘汰风险较高的马匹,并预防与比赛相关的发病情况。