Literature DB >> 28464093

A retrospective analysis of risk factors associated with bovine respiratory disease treatment failure in feedlot cattle.

T D Avra, K M Abell, D D Shane, M E Theurer, R L Larson, B J White.   

Abstract

The objective of this project was to identify risk factors associated with the probability of failing to resolve clinical signs of bovine respiratory disease (BRD) after initial antimicrobial treatment. A retrospective data analysis was performed with 194,062 animals treated for BRD with an antimicrobial from 10 U.S. feedlots from 2005 to 2009. A binary variable classified cattle as a treatment failure if they were retreated for BRD or died following an initial BRD treatment. A generalized logistic mixed model was created to evaluate associations of quarter of the year at feedlot arrival, arrival weight, sex, risk classification (high vs. low), days on feed at first BRD treatment, and rectal temperature at first BRD treatment and all 2-way interactions with the probability of first treatment failure for BRD. A total of 64,683 out of 194,062 (33.3%) of cattle initially treated for BRD were classified as treatment failures due to death or retreatment. Multiple 2-way interactions were present. High-risk calves had greater probability of first treatment failure compared with low-risk calves, but this effect was modified by quarter of arrival, days on feed at first treatment, and rectal temperature category. The effect of arrival weight category was modified by days on feed at first treatment of BRD and quarter of arrival for probability of first treatment failure. Multiple arrival and treatment characteristics were associated with the probability of first BRD treatment failure. Knowledge of these factors can lead future prospective studies to improve the prediction of treatment failure and provide baseline results for the industry.

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Year:  2017        PMID: 28464093     DOI: 10.2527/jas.2016.1254

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  7 in total

1.  Association between antimicrobial drug class selection for treatment and retreatment of bovine respiratory disease and health, performance, and carcass quality outcomes in feedlot cattle.

Authors:  Johann F Coetzee; Natalia Cernicchiaro; Pritam K Sidhu; Michael D Kleinhenz
Journal:  J Anim Sci       Date:  2020-04-01       Impact factor: 3.159

2.  Factors associated with bovine respiratory disease case fatality in feedlot cattle.

Authors:  Claudia Blakebrough-Hall; Paul Hick; T J Mahony; Luciano A González
Journal:  J Anim Sci       Date:  2022-01-01       Impact factor: 3.159

3.  Whole blood transcriptomic analysis of beef cattle at arrival identifies potential predictive molecules and mechanisms that indicate animals that naturally resist bovine respiratory disease.

Authors:  Matthew A Scott; Amelia R Woolums; Cyprianna E Swiderski; Andy D Perkins; Bindu Nanduri; David R Smith; Brandi B Karisch; William B Epperson; John R Blanton
Journal:  PLoS One       Date:  2020-01-13       Impact factor: 3.240

4.  Multipopulational transcriptome analysis of post-weaned beef cattle at arrival further validates candidate biomarkers for predicting clinical bovine respiratory disease.

Authors:  Matthew A Scott; Amelia R Woolums; Cyprianna E Swiderski; Andy D Perkins; Bindu Nanduri; David R Smith; Brandi B Karisch; William B Epperson; John R Blanton
Journal:  Sci Rep       Date:  2021-12-13       Impact factor: 4.379

5.  In-vitro antibiotic resistance phenotypes of respiratory and enteric bacterial isolates from weaned dairy heifers in California.

Authors:  Sarah Depenbrock; Sharif Aly; John Wenz; Deniece Williams; Wagdy ElAshmawy; Kristin Clothier; Heather Fritz; Gary McArthur; Meera Heller; Munashe Chigerwe
Journal:  PLoS One       Date:  2021-11-24       Impact factor: 3.240

6.  Predicting Bovine Respiratory Disease Risk in Feedlot Cattle in the First 45 Days Post Arrival.

Authors:  Hector A Rojas; Brad J White; David E Amrine; Robert L Larson
Journal:  Pathogens       Date:  2022-04-06

7.  Predicting bovine respiratory disease outcome in feedlot cattle using latent class analysis.

Authors:  Claudia Blakebrough-Hall; Paul Hick; Luciano A González
Journal:  J Anim Sci       Date:  2020-12-01       Impact factor: 3.159

  7 in total

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