Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-22T23:38:51.721Z Has data issue: false hasContentIssue false
  • English
  • Français

The clinical syndrome of BRD: what it is and what it is not

Published online by Cambridge University Press:  10 November 2014

Michael Apley
Michael Apley*
Affiliation:
Kansas State University, 111B Mosier Hall, Manhattan, Kansas, USA
*
*Corresponding author. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

The clinical syndrome of bovine respiratory disease (BRD) continues to be a major challenge in bovine production systems. We are challenged by our ability to predict morbidity in groups of cattle, our ability to accurately diagnose and provide a prognosis for individual cases, and our ability to evaluate the results of preventive and therapeutic interventions in the field when production system data are the sole basis for analysis. However, we are fortunate to have perhaps the highest quantity and quality of negative-controlled, prospective, randomized, and masked clinical trial data for any disease in veterinary medicine. It is nevertheless important to recognize that case definitions in these studies may not be consistent or necessarily externally relevant, and that production data in these studies are often missing.

Keywords

bovine respiratory diseaseprognosisdiagnosistreatment data
Type
Review Article
Information
Animal Health Research Reviews , Volume 15 , Issue 2 , December 2014 , pp. 135 - 137
Check for updates
Copyright
Copyright © Cambridge University Press 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abutarbush, SM, Pollock, CM, Wildman, BK, Perrett, T, Schunicht, OC, Fenton, R, Hannon, SJ, Vogstad, AR, Jim, GK and Booker, CW (2012). Evaluation of the diagnostic and prognostic utility of ultrasonography at first diagnosis of presumptive bovine respiratory disease. Canadian Journal of Veterinary Research 76: 23–32.Google ScholarPubMed
Apley, MD (2013). Reasonable expectations for antibiotics in feedyards. Proceedings of the American Association of Bovine Practitioners 46: 22–27.Google Scholar
Buczinski, S, Forte, G, Francoz, D and Belanger, AM (2014). Comparison of thoracic auscultation, clinical score, and ultrasonography as indicators of bovine respiratory disease in preweaned dairy calves. Journal of Veterinary Internal Medicine 28: 234–242.Google Scholar
Burciaga-Robles, LO, Holland, BP, Step, DL, Krehbiel, CR, McMillen, GL, Richards, CJ, Sims, LE, Jeffers, JD, Namjou, K and McCann, PJ (2009). Evaluation of breath biomarkers and serum haptoglobin concentration for diagnosis of bovine respiratory disease in heifers newly arrived at a feedlot. American Journal of Veterinary Research 70: 1291–1298.Google Scholar
Burgess, BA, Hendrick, SH, Pollock, CM, Hannon, SJ, Abutarbush, SM, Vogstad, A, Jim, GK and Booker, CW (2013). The use of lung biopsy to determine early lung pathology and its association with health and production outcomes in feedlot steers. Canadian Journal of Veterinary Research 77: 281–287.Google Scholar
DeDonder, K, Thomson, D., Loneragan, GH, Noffsinger, T, Taylor, W and Apley, MD. (2010). Lung auscultation and rectal temperature as a predictor of lung lesions and bovine respiratory disease treatment outcome in feedyard cattle. Bovine Practitioner 44: 146–153.Google Scholar
Hanzlicek, GA, Renter, DR, White, BJ, Wagner, BA, Dargatz, DA, Sanderson, MW, Scott, HM and Larson, RE (2013). Management practices associated with the rate of respiratory tract disease among preweaned beef calves in cow-calf operations in the United States. Journal of the American Veterinary Medical Association 242: 1271–1278.Google Scholar
Love, WJ, Lehenbauer, TW, Kass, PH, Van Eenennaam, AL and Aly, SS (2014). Development of a novel clinical scoring system for on-farm diagnosis of bovine respiratory disease in pre-weaned dairy calves. PeerJ 2: e238.CrossRefGoogle ScholarPubMed
O'Connor, AM, Coetzee, JF, da Silva, N and Wang, C (2013). A mixed treatment comparison meta-analysis of antibiotic treatments for bovine respiratory disease. Preventive Veterinary Medicine 110: 77–87.Google Scholar
Rose-Dye, TK, Burciaga-Robles, LO, Krehbiel, CR, Step, DL, Fulton, RW, Confer, AW and Richards, CJ (2011). Rumen temperature change monitored with remote rumen temperature boluses after challenges with bovine viral diarrhea virus and Mannheimia haemolytica. Journal of Animal Science 89: 1193–1200.Google Scholar
Schaefer, AL, Cook, NJ, Bench, C, Chabot, JB, Colyn, J, Liu, T, Okine, EK, Stewart, M and Webster, JR (2012). The non-invasive and automated detection of bovine respiratory disease onset in receiver calves using infrared thermography. Research in Veterinary Science 93: 928–935.Google Scholar
Taylor, JD, Fulton, RW, Lehenbauer, TW, Step, DL and Confer, AW (2010). The epidemiology of bovine respiratory disease: what is the evidence for predisposing factors? Canadian Veterinary Journal 51: 1095–1102.Google ScholarPubMed
Woolums, AR, Berghaus, RD, Smith, DR, White, BJ, Engelken, TJ, Irsik, MB, Matlick, DK, Jones, AL, Ellis, RW, Smith, IJ, Mason, GL and Waggoner, ER (2013). Producer survey of herd-level risk factors for nursing beef calf respiratory disease. Journal of the American Veterinary Medical Association 243: 538–547.Google Scholar