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Gibson MJ, Legg KA, Gee EK, Rogers CW. Risk Factors for Horse Fatality in Thoroughbred Jumps Racing in New Zealand. J Equine Vet Sci 2023; 129:104897. [PMID: 37544490 DOI: 10.1016/j.jevs.2023.104897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 07/23/2023] [Accepted: 07/31/2023] [Indexed: 08/08/2023]
Abstract
The aim of this study was to examine the race-, horse- and jockey-level risk factors for race day fatality in New Zealand Thoroughbred jumps racing using retrospective race day data from the 2011/12 to 2021/22 seasons (n = 8,970 starts). There were 51 race day fatalities resulting in an incidence rate of 5.7 per 1,000 starts (95% C.I. 4.3-7.5). The majority of fatalities were the result of fractures (44/51, 4.9 per 1,000 starts, 95% C.I. 3.7-6.6). Steeplechase and hurdle races had the same incidence of fatal fractures of 4.9 per 1,000 starts (95% C.I. 3.7-6.6, P > .05). Most (70.5%) of the fatal fractures were due to a horse falling during the race. In steeplechase races, horses running in races over 4,201 m were 5.0 times (95% C.I. 1.2-33.0) more likely to sustain a fatal fracture than horses in racing over shorter distances. In hurdle races, horses racing during spring were 2.2 times (95% C.I. 1.0-4.8) more likely to sustain a fatal fracture compared to winter. Due to the low number of suspected cardiac failures and fatal soft tissue injuries, risk factors for these fatalities could not be identified. These data provide a baseline to enable evidence-based regulatory changes and prospectively monitor the effectiveness of changes made.
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Affiliation(s)
- Michaela J Gibson
- School of Veterinary Sciences, Massey University, Palmerston North, New Zealand.
| | - Kylie A Legg
- School of Veterinary Sciences, Massey University, Palmerston North, New Zealand
| | - Erica K Gee
- School of Veterinary Sciences, Massey University, Palmerston North, New Zealand
| | - Chris W Rogers
- School of Veterinary Sciences, Massey University, Palmerston North, New Zealand; School of Agriculture and Environment, Massey University, Palmerston North, New Zealand
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The Reporting of Racehorse Fatalities in New Zealand Thoroughbred Flat Racing in the 2011/12-2021/22 Seasons. Animals (Basel) 2023; 13:ani13040612. [PMID: 36830402 PMCID: PMC9951738 DOI: 10.3390/ani13040612] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 02/08/2023] [Accepted: 02/08/2023] [Indexed: 02/12/2023] Open
Abstract
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.
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A Bioeconomic Model for the Thoroughbred Racing Industry-Optimisation of the Production Cycle with a Horse Centric Welfare Perspective. Animals (Basel) 2023; 13:ani13030479. [PMID: 36766368 PMCID: PMC9913657 DOI: 10.3390/ani13030479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 01/31/2023] Open
Abstract
The Thoroughbred racing industry faces new and competing pressures to operate within a modern, changing society. Three major moderators drive the focus and productivity of the industry worldwide: economic sustainability, horse biology and social licence to operate. This review proposes that despite the apparent homogeneity in the structure of racing across jurisdictions due to international regulation of the sport, there are significant differences within each jurisdiction in each of the three moderators. This creates challenges for the comparison of injury risk factors for racehorses within the industry across different jurisdictions. Comparison of the relative distribution of racing and gambling metrics internationally indicates that the Asian jurisdictions have a high focus on gambling efficiency and high economic return of the product, with a high number of starts per horse and the highest relative betting turnover. In contrast, the racing metrics from the USA have proportionally low racing stakes and fewer horses per race. These differences provide insight into the sociology of horse ownership, with a shift from the long-term return on investment held by most jurisdictions to a short-term transitional view and immediate return on investment in others. Wastage studies identify varying risks influenced by the predominant racing culture, training methods, production focus and environment within individual jurisdictions. Increasing societal pressure to maintain high racehorse welfare and reduce the negative impact of gambling poses fluctuating risks to each jurisdiction's social licence to operate. Based on the data presented within this review, the authors propose that the use of a bioeconomic model would permit consideration of all three moderators on industry practice and optimisation of the jurisdiction-specific production cycle with a horse-centric welfare perspective.
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Gibson MJ, Legg KA, Gee EK, Rogers CW. Race-Level Reporting of Incidents Using the New Online System During Two Seasons (2019/2020-2020/2021) of Harness Racing in New Zealand. J Equine Vet Sci 2022; 119:104142. [PMID: 36273534 DOI: 10.1016/j.jevs.2022.104142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 09/19/2022] [Accepted: 10/17/2022] [Indexed: 11/07/2022]
Abstract
After establishing a baseline of stipendiary stewards' reporting using the paper-based system in the 2015/16 and 2016/17 seasons of harness racing, it is important to examine if the implementation of an online system has altered frequency and descriptors used for clinical outcomes. The objective of this study was to describe the race level injury and reporting outcomes, and horse- and race-level variables associated with the rate of the reporting of these outcomes during the 2019/20 and2020/21 harness racing seasons in New Zealand. The introduction of the online system was associated with few (0.01%) miscoding events associated with horse identification. There was a shift in the frequency of reporting non-incident examinations, possibly due to better definition and prompts within the online system. The coding category, no observable abnormalities detected (NOAD) had the greatest number of entries, reflecting that the majority of examinations were associated with general screening rather than adverse events occurring during warm-up or the race. The frequency of recordings for most clinical findings was consistent between the old paper-based system and the new online system. The incidence of musculoskeletal fractures remained low (0.12 per 1,000 starts, 95%CI = 0.05-0.28). The online system has the potential to provide a useful tool to prospectively monitor the reporting of injuries and conditions associated with harness racing in New Zealand.
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Affiliation(s)
- Michaela J Gibson
- School of Veterinary Sciences, Massey University, Palmerston North, 4442, New Zealand.
| | - Kylie A Legg
- School of Veterinary Sciences, Massey University, Palmerston North, 4442, New Zealand
| | - Erica K Gee
- School of Veterinary Sciences, Massey University, Palmerston North, 4442, New Zealand
| | - Chris W Rogers
- School of Veterinary Sciences, Massey University, Palmerston North, 4442, New Zealand; School of Agriculture and Environment, Massey University, Palmerston North, 4442, New Zealand
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Bimson NH, Morrice-West AV, Wong ASM, Hitchens PL, Rocca MR, Whitton RC. Catastrophic musculoskeletal injuries in Thoroughbred racehorses in Uruguay, 2011-2017. J Equine Vet Sci 2022; 117:104074. [PMID: 35820498 DOI: 10.1016/j.jevs.2022.104074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 06/10/2022] [Accepted: 07/05/2022] [Indexed: 10/17/2022]
Abstract
Catastrophic musculoskeletal injuries (CMI) pose a major welfare concern to horses and their riders, yet limited data is available describing their occurrence in South America. Using a retrospective cohort and case-control design, the objective of the study was to determine the incidence of CMI for Thoroughbreds in training and racing, and associated horse-level risk factors in Uruguay. Seventy-seven Thoroughbreds sustained a CMI; 37 of which were age- and sex-matched to 111 control horses in the same race. Training and racing data from 2011-2017 were collected. Incidence of race day CMI per 1000 race starts and training CMI incidence per 100 horse months were calculated using Poisson regression. Univariable logistic regression was used to assess relationships between race history and occurrence of CMI by fracture location, and multivariably for all fracture locations. Overall race day incidence of CMI was 0.42 per 1000 race starts (95% CI 0.29, 0.60). The incidence of CMI in training was 0.059 per 100 horse months. Most fractures were of the forelimbs (80.3%). There were 32 (41.5%) distal and 39 (50.6%) proximal limb fractures. The risk of CMI was greater for horses with fewer places (P = 0.001), and greater time between the previous race and the race in which CMI occurred (P = 0.020). The rate of race day CMI was low, despite Uruguay being a racing jurisdiction with policies and risk factors associated with higher CMI rates compared to other jurisdictions. Lightly raced horses with long periods since their previous race start should be monitored closely.
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Affiliation(s)
- Nicholas H Bimson
- Equine Centre, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, 250 Princes Hwy Werribee, Victoria, 3030, Australia
| | - Ashleigh V Morrice-West
- Equine Centre, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, 250 Princes Hwy Werribee, Victoria, 3030, Australia.
| | - Adelene S M Wong
- Equine Centre, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, 250 Princes Hwy Werribee, Victoria, 3030, Australia
| | - Peta L Hitchens
- Equine Centre, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, 250 Princes Hwy Werribee, Victoria, 3030, Australia
| | - Maria R Rocca
- Hipodromo Nacional de Maronas, Jose Maria Guerra 3540, 12000 Montevideo, Departamento de Montevideo, Uruguay
| | - R Chris Whitton
- Equine Centre, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, 250 Princes Hwy Werribee, Victoria, 3030, Australia
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