Type

Journal Article

Authors

Tracy A Clegg
Anthony Duignan
Mairead B. Doyle
Simon J More
Eamonn Gormley
Margaret Good

Subjects

Veterinary

Topics
specificity veterinary test performance gamma interferon assay ifn assay female mycobacterium bovis cattle diagnosis logistic models interferon gamma male blood sensitivity and specificity epidemiology tuberculin test ireland false positive reactions risk factors false positives animals prevalence interferon ifn isolation purification microbiology disclosure tuberculosis bovine

Identification of risk factors associated with disclosure of false positive bovine tuberculosis reactors using the gamma-interferon (IFNγ) assay (2013)

Abstract The gamma-interferon assay (IFNγ) is often used as an ancillary diagnostic test alongside the tuberculin skin test in order to detect Mycobacterium bovis infected cattle. The performance of the IFNγ test has been evaluated in many countries worldwide and wider usage as a disease surveillance tool is constrained due to the relatively low and inconsistent specificity at a herd and area level. This results in disclosure of a higher proportion of false positive reactors when compared with the skin test. In this study, we used cohorts of animals from low prevalence tuberculosis herds (n = 136) to assess a range of risk factors that might influence the specificity of the test. Univariate and multivariate logistic generalised estimating-equation (GEE) models were used to evaluate potential risk factors associated with a false positive IFNγ test result. In these herds, the univariate model revealed that the region of herd origin, the time of year when the testing was carried out, and the age of the animal were all significant risk factors. In the final multivariate models only animal age and region of herd origin were found to be significant risk factors. A high proportion of herds with multiple IFNγ false positive animals were located in one county, with evidence of within-herd clustering, suggesting a localised source of non-specific sensitization. Knowledge of the underlying factors influencing the IFNγ test specificity could be used to optimize the test performance in different disease level scenarios in order to reduce the disclosure rate of false positive reactors.
Collections Ireland -> University College Dublin -> Veterinary Medicine Research Collection (superseded in 2015)
Ireland -> University College Dublin -> Institutes and Centres
Ireland -> University College Dublin -> College of Agriculture, Food Science and Veterinary Medicine (superseded in 2015)
Ireland -> University College Dublin -> School of Veterinary Medicine (superseded in 2015)
Ireland -> University College Dublin -> Centre for Veterinary Epidemiology and Risk Analysis (CVERA)
Ireland -> University College Dublin -> CVERA Research Collection

Full list of authors on original publication

Tracy A Clegg, Anthony Duignan, Mairead B. Doyle, Simon J More, Eamonn Gormley, Margaret Good

Experts in our system

1
T A Clegg
University College Dublin
Total Publications: 46
 
2
A Duignan
University College Dublin
Total Publications: 7
 
3
Mairead B Doyle
University College Dublin
Total Publications: 8
 
4
S J More
University College Dublin
Total Publications: 171
 
5
E Gormley
University College Dublin
Total Publications: 67
 
6
M Good
University College Dublin
Total Publications: 28