Literature DB >> 30819423

Meta-analysis of risk factors for racehorse catastrophic musculoskeletal injury in flat racing.

P L Hitchens1, A V Morrice-West2, M A Stevenson3, R C Whitton2.   

Abstract

Studies of racehorse injury or fatality in various countries have identified common, and in some cases conflicting, risk factors. We conducted a systematic search of the relevant literature published from 1990 to 2017. Peer-reviewed articles were included if they reported the incidence of fatal or catastrophic musculoskeletal injury (CMI) in Thoroughbred flat races (n=21) or risk factors for CMI (n=65). Pooled effect sizes were estimated using the random-effects DerSimonian-Laird model. The pooled incidence of CMI was 1.17 (95% confidence interval 0.90, 1.44) per 1000 race starts. Almost 300 factors have been investigated in epidemiological studies for potential associations with CMI. Factors found to have consistent evidence of increasing risk of CMI are: (1) Horse-level factors such as older horse age and age at first start, male sex, and higher race class or lower claiming price; (2) Race-level factors such as firmer track conditions on turf and wetter conditions on dirt, longer race distance, and a greater number of starters; and (3) Management-related factors including more time since previous start, greater number of starts, longer career length, issues identified at pre-race examination, previous injury, and recent administration of medication or injections. Studies investigating recent cumulative distance of high-speed exercise were conflicting and suggestive of at least two mechanisms of injury related to the accumulation of bone damage: (1) In well adapted bone following a period of intense training; and (2) In poorly adapted bone at relatively low levels of training intensity. Future studies should evaluate success of interventions and mechanisms for injury.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Epidemiology; Meta-analysis; Musculoskeletal; Racehorse injury; Risk factors

Mesh:

Year:  2018        PMID: 30819423     DOI: 10.1016/j.tvjl.2018.11.014

Source DB:  PubMed          Journal:  Vet J        ISSN: 1090-0233            Impact factor:   2.688


  20 in total

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