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Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach

Investigation published in Veterinary Microbiology

February 24th, 2012

Test-and-slaughter strategies have been the basis of bovine tuberculosis (BT) eradication programs worldwide; however, eradication efforts have not succeeded in certain regions, and imperfect sensitivity and specificity of applied diagnostic techniques have been deemed as one of the possible causes for such failure. Evaluation of tuberculosis diagnostic tools has been impaired by the lack of an adequate gold standard to define positive and negative individuals. Here, a Bayesian approach was formulated to estimate for the first time sensitivity (Se) and specificity (Sp) of the tests [single intradermal tuberculin (SIT) test, and interferon-gamma (IFN-γ) assay] currently used in Spain. Field data from the first implementation of IFN-γ assay (used in parallel with SIT test 2-6months after a first disclosure SIT test) in infected beef, dairy and bullfighting cattle herds from the region of Castilla and Leon were used for the analysis. Model results suggested that in the described situation: (i) Se of SIT test was highly variable (40.1-92.2% for severe interpretation, median=66-69%), and its Sp was high (>99%) regardless interpretation criteria; (ii) IFN-γ assay showed a high Se (median=89-90% and 83.5% for 0.05 and 0.1 cut-off points respectively) and an acceptable Sp (85.7% and 90.3% for 0.05 and 0.1 thresholds) and (iii) parallel application of both tests maximized the combined Se (95.6% using severe SIT and 0.05 cut-off point in the IFN-γ assay). These results support the potential use of the IFN-γ assay as an ancillary technique for routine BT diagnosis




Alvarez J., Perez AM., Bezos J., Marques S., Grau A., Saez-Llorente JL., Minguez O., de Juan L. and Dominguez L..




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Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach

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Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach



Participants:

Universidad ComplutenseServicio de Micobacterias (MYC). Centro de Vigilancia Sanitaria Veterinaria (VISAVET). Universidad Complutense (UCM).

Universidad ComplutenseDepartamento de Sanidad Animal. Facultad de Veterinaria. Universidad Complutense (UCM).

University of California-DavisUniversity of California-Davis (UCDAVIS).

Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET).


Subdirección General de Sanidad de la Producción Primaria. Dirección General de Recursos Agrícolas y Ganaderos.

Ministerio de Medio Ambiente y Medio Rural y MarinoMinisterio de Medio Ambiente y Medio Rural y Marino (MARM).

Gobierno de Castilla-La ManchaInstituto de Investigación en Recursos Cinegéticos (IREC). Consejo Superior de Investigaciones Científicas (CSIC). Universidad de Castilla La Mancha (UCLM). Gobierno de Castilla-La Mancha (JCCM).

Junta de Castilla y LeónServicio de Sanidad Animal. Junta de Castilla y León.







Veterinary Microbiology
FACTOR YEAR Q
3.127 2012

NLMID: 7705469

PMID: 21890284

ISSN: 0378-1135



TITLE: Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach


JOURNAL: Vet Microbiol


NUMERACIÓN: 155(1):38-43


AÑO: 2012


PUBLISHER: Elsevier


AUTHORS: Alvarez J., Perez AM., Bezos J., Marques S., Grau A., Saez-Llorente JL., Minguez O., de Juan L. and Dominguez L..


First
Julio Álvarez Sánchez
2nd
Andrés Maximiliano Pérez
3rd
Javier Bezos Garrido
8th
Lucía de Juan Ferré
Last
Lucas Domínguez Rodríguez

DOI: https://doi.org/10.1016/j.vetmic.2011.07.034


CITE THIS PUBLICATION:

Alvarez J., Perez AM., Bezos J., Marques S., Grau A., Saez-Llorente JL., Minguez O., de Juan L. and Dominguez L. Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach. Veterinary Microbiology. 155(1):38-43. 2012. (A). ISSN: 0378-1135. DOI: 10.1016/j.vetmic.2011.07.034


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