scholarly journals The selective treatment of clinical mastitis based on on-farm culture results: I. Effects on antibiotic use, milk withholding time, and short-term clinical and bacteriological outcomes

2011 ◽  
Vol 94 (9) ◽  
pp. 4441-4456 ◽  
Author(s):  
A. Lago ◽  
S.M. Godden ◽  
R. Bey ◽  
P.L. Ruegg ◽  
K. Leslie
Livestock ◽  
2021 ◽  
Vol 26 (6) ◽  
pp. 268-273
Author(s):  
Al Manning

Selective treatment of clinical mastitis cases based on the results of on-farm culture (OFC) has been suggested by several international experts. It is based on the theory that mastitis cases caused by Gram-negative species has high resolution rates, and those that do not resolve respond poorly to therapy. Several peer-reviewed studies have evaluated the accuracy of different OFC test kits, which are between 60–85% accurate at identifying Gram-positive pathogens. Implementation studies consistently show a reduction in antimicrobial use, although further research across larger populations is needed to assess the impact on mastitis cure. Any OFC protocol should be regularly reviewed with the herd veterinarian. Herds with a high bulk cell count, a high prevalence of Gram-positive pathogens (e.g. Streptococcus uberis), or with a high prevalence of Klebsiella spp. should carefully consider the impact of deferred or withholding treatment on mastitis cure.


2011 ◽  
pp. 277-284
Author(s):  
A. Lago ◽  
S. M. Godden ◽  
R. Bey ◽  
P. L. Ruegg ◽  
K. Leslie

Livestock ◽  
2021 ◽  
Vol 26 (1) ◽  
pp. 34-36
Author(s):  
Kath Aplin ◽  
James Breen

The treatment of clinical mastitis on farm is always under the spotlight for veterinary surgeons due to the financial penalty of withholding milk from the bulk tank, the challenge of achieving a bacteriological cure during lactation compared with during a dry period and the importance of antibiotic use in dairy herds. This article focuses on the management of the FIRST clinical mastitis case in a cow's lactation, as this not only represents the best chance of achieving a bacteriological cure as well as a symptomatic one, but also puts emphasis on the need to measure the outcome of treatment approaches for first cases and the likely origin of first cases so that treatment can be avoided in the future.


2018 ◽  
Vol 146 (15) ◽  
pp. 1909-1915 ◽  
Author(s):  
R. P. Smith ◽  
V. Andres ◽  
T. E. Cheney ◽  
F. Martelli ◽  
R. Gosling ◽  
...  

AbstractSalmonella prevalence in UK pigs is amongst the highest in Europe, highlighting the need to investigate pig farms which have managed to maintain a low Salmonella seroprevalence. A total of 19 pig farms that had a consistently low (<10%) seroprevalence over 4 years (named Platinum farms) were compared against 38 randomly selected Control farms, chosen to match the same distribution of production types and geographical distribution of the Platinum farms. Each farm was visited and floor faeces and environmental samples were collected. It was shown that Control farms had a significantly higher median percentage of pooled faecal samples positive for Salmonella compared with the Platinum farms (12.1% and 0.4% for pooled faecal samples, respectively) and were more likely to have serovars of public health importance detected (S. Typhimurium/ monophasic variants or S. Enteritidis). Considering the comprehensive on-farm sampling, the identification of farms negative for Salmonella, along with the identification of those that had maintained low prevalence over a long period is important. The risk factor analyses identified pelleted feed, feed deliveries crossing farm perimeter and regular antibiotic use as associated with being a Control farm. Performance data indicated that Platinum farms were performing better for slaughter live weight than Controls. Limited assessments of available pig movement records suggested that the source of pigs was not key to Platinum status, but further study would be needed to confirm this finding. These results emphasise that maintaining very low prevalence on UK farms is achievable.


2008 ◽  
Vol 75 (2) ◽  
pp. 240-247 ◽  
Author(s):  
Audrey H Torres ◽  
Päivi J Rajala-Schultz ◽  
Fred J DeGraves ◽  
Kent H Hoblet

Interest in selective dry cow therapy (SDCT) has been increasing owing to concerns over development of antimicrobial resistance. Implementation of SDCT, however, requires a quick and cost-effective on-farm method for identifying cows for treatment and cows that can be left without treatment. The objective of the present study was to evaluate the use of clinical mastitis (CM) history and somatic cell counts (SCC) from monthly Dairy Herd Improvement (DHI) records in identification of infected and uninfected cows at dry-off. A total of 647 Holstein cows were classified as uninfected or infected at dry-off based on CM history and varying number of monthly SCC records (with three different SCC cut-offs). Cows were considered uninfected based on the following criteria: (1) SCC <100 000 cells/ml and no CM during the lactation; (2) SCC <200 000 cells/ml and no CM during the lactation; (3) as criterion two, but additionally a cow was also considered uninfected if it experienced a case of CM during the first 3 months of the lactation and the SCC was <100 000 cells/ml for the rest of the lactation; (4) SCC <300 000 cells/ml and no CM during the lactation; otherwise they were considered infected. Infected and uninfected cows at dry-off were most efficiently identified using three months' SCC records with a threshold of 200 000 cells/ml for cows without CM during the lactation and a threshold of 100 000 cells/ml during the rest of lactation for cows with CM during the first 90 days in milk. Moreover, this criterion also most efficiently identified cows infected with major pathogens only at dry-off. The success of the criteria used for identifying infected and uninfected cows will, however, depend on herd characteristics, such as prevalence of infection and type of pathogens present in the herd.


PLoS ONE ◽  
2016 ◽  
Vol 11 (5) ◽  
pp. e0155314 ◽  
Author(s):  
Erika Korzune Ganda ◽  
Rafael Sisconeto Bisinotto ◽  
Dean Harrison Decter ◽  
Rodrigo Carvalho Bicalho

Sign in / Sign up

Export Citation Format

Share Document