A comparison of a novel time-based summary measure of dairy cow health against cumulative disease frequency.

Autor: McConnel CS; 1Veterinary Medicine Extension, Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, WA 99164, PO Box 646610, Pullman, WA USA., McNeil AA; 2Integrated Livestock Management, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80523 USA., Hadrich JC; 3Department of Applied Economics, College of Food, Agricultural and Natural Resource Sciences, University of Minnesota, St. Paul, MN 55108 USA., Lombard JE; 2Integrated Livestock Management, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80523 USA.; 4USDA:APHIS:VS, Centers for Epidemiology and Animal Health, 2150 Centre Ave., Bldg. B, Fort Collins, CO 80526 USA., Heller J; 5School of Animal and Veterinary Science, Charles Sturt University, Wagga Wagga, NSW 2650 Australia.; 6Graham Centre for Agricultural Innovation (NSW Department of Primary Industries and Charles Sturt University), Wagga Wagga, NSW 2650 Australia., Garry FB; 2Integrated Livestock Management, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80523 USA.
Jazyk: angličtina
Zdroj: Irish veterinary journal [Ir Vet J] 2018 Mar 02; Vol. 71, pp. 7. Date of Electronic Publication: 2018 Mar 02 (Print Publication: 2018).
DOI: 10.1186/s13620-018-0119-z
Abstrakt: Background: There is an increasing push for dairy production to be scientifically grounded and ethically responsible in the oversight of animal health and well-being. Addressing underlying challenges affecting the quality and length of productive life necessitates novel assessment and accountability metrics. Human medical epidemiologists developed the Disability-Adjusted Life Year metric as a summary measure of health addressing the complementary nature of disease and death. The goal of this project was to develop and implement a dairy Disease-Adjusted Lactation (DALact) summary measure of health, as a comparison against cumulative disease frequency.
Methods: A total of 5694 cows were enrolled at freshening from January 1st, 2014 through May 26th, 2015 on 3 similarly managed U.S. Midwestern Plains' region dairies. Eleven health categories of interest were tracked from enrollment until culling, death, or the study's completion date. The DALact accounted for the days of life lost due to illness, forced removal, and death relative to the average lactation length across the participating farms.
Results: The DALact consistently identified mastitis as the primary disease of concern on all 3 dairies (19,007-23,955 days lost). Secondary issues included musculoskeletal injuries (19,559 days), pneumonia (11,034 days), or lameness (8858 days). By comparison, cumulative frequency measures pointed to mastitis (31-50%) and lameness (25-54%) as the 2 most frequent diseases. Notably, the DALact provided a robust accounting of health events such as musculoskeletal injuries (5010-19,559 days) and calving trauma (2952-5868 days) otherwise overlooked by frequency measures (0-3%).
Conclusions: The DALact provides a time-based method for assessing the overall burden of disease on dairies. It is important to emphasize that a summary measure of dairy health goes beyond simply linking morbidity to culling and mortality in a standardized fashion. A summary measure speaks to the burden of disease on both the well-being and productivity of individuals and populations. When framed as lost days, years, or lactations the various health issues on a farm are more comprehensible than they may be by frequency measures alone. Such an alternative accounting of disease highlights the lost opportunity costs of production as well as the burden of disease on life as a whole.
Competing Interests: Not applicable.Not applicable.The authors declare that they have no competing interests.Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Databáze: MEDLINE
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