Evaluation of a stochastic Markov-chain model for the development of forelimb injuries in Thoroughbred racehorses

American Journal of Veterinary Research

Volumn 64, Issue 3, 2003, Pages 328-337

  Hill, Ashley E ^a   Carpenter, Tim E ^a   Gardner, Ian A ^a   Stover, Susan M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ANIMAL EXPERIMENT; ARTICLE; BREEDING; CONTROLLED STUDY; CONVALESCENCE; CORRELATION ANALYSIS; DATA ANALYSIS; DISEASE SEVERITY; EXERCISE; FOLLOW UP; FORELIMB; HORSE; INCIDENCE; INTERMETHOD COMPARISON; LIMB INJURY; LINEAR REGRESSION ANALYSIS; METACARPAL BONE FRACTURE; NONHUMAN; PROBABILITY; RISK ASSESSMENT; RUNNING; STOCHASTIC MODEL; TRAINING; UNITED STATES; VALIDATION PROCESS; VELOCITY; ANIMAL; ANIMAL DISEASE; ANIMAL LAMENESS; FEMALE; HORSE DISEASE; INJURY; MALE; METACARPOPHALANGEAL JOINT; PHYSIOLOGY; RISK FACTOR; SPORT INJURY; STATISTICAL MODEL; STATISTICS; TENDON INJURY;

ANIMALIA; EQUIDAE; EQUUS CABALLUS;

ANIMALS; ATHLETIC INJURIES; FEMALE; FORELIMB; HORSE DISEASES; HORSES; LAMENESS, ANIMAL; MALE; MARKOV CHAINS; METACARPOPHALANGEAL JOINT; MODELS, STATISTICAL; PHYSICAL CONDITIONING, ANIMAL; RISK FACTORS; STOCHASTIC PROCESSES; TENDON INJURIES;

EID: 0038282826     PISSN: 00029645     EISSN: None     Source Type: Journal    
DOI: 10.2460/ajvr.2003.64.328     Document Type: Article

References (28)

1. Jeffcott LB, Rossdale PD, Freestone J, et al. An assessment of wastage in Thoroughbred racing from conception to 4 years of age. Equine Vet J 1982;14:185-198.
2. Perkins N, Reid S, Morris R. A longitudinal study of health and performance in the New Zealand Thoroughbred racing industry, in Proceedings. Int Soc Vet Epidemiol Econ 2000;255-257.
3. Rossdale PD, Hopes R, Digby NJ, et al. Epidemiological study of wastage among racehorses 1982 and 1983. Vet Rec 1985;116:66-69.
4. Lindner A, Dingerkus A. Incidence of training failure among Thoroughbred horses at Cologne, Germany. Prev Vet Med 1993;16:85-94.
5. Johnson BJ, Stover SM, Daft BM, et al. Causes of death in racehorses over a 2 year-period. Equine Vet J 1994;26:327-330.
6. Stover SM, Johnson BJ, Daft BM, et al. An association between complete and incomplete stress fractures of the humerus in racehorses. Equine Vet J 1992;24:260-263.
7. Nunamaker DN, Butterweck DM, Provost MT. Fatigue fractures in Thoroughbred racehorses: relationships with age, peak bone strain, and training. J Orthop Res 1990;8:604-611.
8. Hill AE, Stover SM, Gardner IA, et al. Risk factors for and outcomes of noncatastrophic suspensory apparatus injury in Thoroughbred racehorses. J Am Vet Med Assoc 2001;218:1136-1144.
9. Cohen ND, Peloso JG, Mundy GD, et al. Racing-related factors and results of prerace physical inspection and their association with musculoskeletal injuries incurred in Thoroughbreds during races. J Am Vet Med Assoc 1997;211:454-463.
10. Estberg L, Gardner IA, Stover SM, et al. Cumulative racing-speed exercise distance cluster as a risk factor for fatal musculoskeletal injury in Thoroughbred racehorses in California. Prev Vet Med 1995;24:253-263.
11. Estberg L, Stover SM, Gardner IA, et al. High-speed exercise history and catastrophic racing fracture in Thoroughbreds. Am J Vet Res 1996;57:1549-1555.
12. Estberg L, Gardner IA, Stover SM, et al. A case-crossover study of intensive racing and training schedules and risk of catastrophic musculoskeletal injury and lay-up in California Thoroughbred racehorses. Prev Vet Med 1998;33:159-170.
13. Albert PS. A Markov model for sequences of ordinal data from a relapsing-remitting disease. Biometrics 1994;50:51-60.
14. Badger GJ, Vacek PM, Reichman RC. A Markov model for a clinical episode of recurrent genital herpes. Biometrics 1987;43:399-408.
15. Boysen M, Downs AM, Rigaut JP, et al. Rates of regression and progression of dysplastic lesions in the nasal mucosa in nickel workers: a Markov model approach. Sci Total Environ 1994;148:311-318.
16. Cabasés Hita JM, Carmona López G, Hernández Vecino R. Incidence, risk and evolution of osteoporotic hip fractures in Spanish women using a Markov type model. Med Clin (Barc) 2000;114(suppl 2): 63-67.
17. Dijkhuizen AA. Epidemiological and economic evaluation of foot-and-mouth disease control strategies, using a Markov chain spreadsheet model. Acta Vet Scand Suppl 1988;84:350-352.
18. Kuo HS, Chang HJ, Chou P, et al. A Markov chain model to assess the efficacy of screening for non-insulin dependent diabetes mellitus (NIDDM). Int J Epidemiol 1999;28:233-240.
19. Jain S. Markov chain model and its application. Comput Biomed Res 1986;19:374-348.
20. Perry JC, Lavori PW, Hoke L. A Markov model for predicting levels of psychiatric service use in borderline and antisocial personality disorders and bipolar type II affective disorder. J Psychiatr Res 1987;21:215-232.
21. Longini IM Jr, Clark WS, Byers RHl, et al. Statistical analysis of the stages of HIV infection using a Markov model. Stat Med 1989;8:831-843.
22. Silverstein MD, Loftus EV, Sandborn WJ, et al. Clinical course and costs of care for Crohn's disease: Markov model analysis of a population-based cohort. Gastroenterology 1999;117:49-57.
23. Wolfson C, Confavreux C. A Markov model of the natural history of multiple sclerosis. Neuroepidemiology 1985;4:227-239.
24. Young PJ, Weeden S, Kirwan JR. The analysis of a bivariate multi-state Markov transition model for rheumatoid arthritis with an incomplete disease history. Stat Med 1999;18:1677-1690.
25. Carpenter TE. Microcomputer programs for Markov and modified Markov chain disease models. Prev Vet Med 1988;5:169-179.
26. Sonnenberg FA, Beck JR. Markov models in medical decision making: a practical guide. Med Decis Making 1993;13:322-338.
27. Ljung GM, Box GEP. On a measure of lack of fit in time series models. Biometrika 1978;65:297-304.
28. Boston RC, Nunamaker DM. Gait and speed as exercise components of risk factors associated with onset of fatigue injury of the third metacarpal bone in 2-year-old Thoroughbred racehorses. Am J Vet Res 2000;61:602-608.