Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach
- Autores
- Álvarez, Julio; Perez, Andres Maximiliano; Bezos, Javier; Marqués, Sergio; Grau, Anna; Saez, Jose Luis; Mínguez, Olga; de Juan, Lucía; Domínguez, Lucas
- Año de publicación
- 2012
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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-g) assay] currently used in Spain. Field data from the first implementation of IFN-g assay (used in parallel with SIT test 2–6 months 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-g 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-g assay). These results support the potential use of the IFN-g assay as an ancillary technique for routine BT diagnosis.
Fil: Álvarez, Julio. Consejo Superior de Investigaciones Científicas; España
Fil: Perez, Andres Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario; Argentina
Fil: Bezos, Javier. Universidad Complutense de Madrid; España
Fil: Marqués, Sergio. No especifíca;
Fil: Grau, Anna. No especifíca;
Fil: Saez, Jose Luis. No especifíca;
Fil: Mínguez, Olga. No especifíca;
Fil: de Juan, Lucía. Universidad Complutense de Madrid; España
Fil: Domínguez, Lucas. Universidad Complutense de Madrid; España - Materia
-
tuberculosis
cattle
diagnostic tests - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/268737
Ver los metadatos del registro completo
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Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approachÁlvarez, JulioPerez, Andres MaximilianoBezos, JavierMarqués, SergioGrau, AnnaSaez, Jose LuisMínguez, Olgade Juan, LucíaDomínguez, Lucastuberculosiscattlediagnostic testshttps://purl.org/becyt/ford/4.3https://purl.org/becyt/ford/4Test-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-g) assay] currently used in Spain. Field data from the first implementation of IFN-g assay (used in parallel with SIT test 2–6 months 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-g 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-g assay). These results support the potential use of the IFN-g assay as an ancillary technique for routine BT diagnosis.Fil: Álvarez, Julio. Consejo Superior de Investigaciones Científicas; EspañaFil: Perez, Andres Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario; ArgentinaFil: Bezos, Javier. Universidad Complutense de Madrid; EspañaFil: Marqués, Sergio. No especifíca;Fil: Grau, Anna. No especifíca;Fil: Saez, Jose Luis. No especifíca;Fil: Mínguez, Olga. No especifíca;Fil: de Juan, Lucía. Universidad Complutense de Madrid; EspañaFil: Domínguez, Lucas. Universidad Complutense de Madrid; EspañaElsevier Science2012-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/268737Álvarez, Julio; Perez, Andres Maximiliano; Bezos, Javier; Marqués, Sergio; Grau, Anna; et al.; Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach; Elsevier Science; Veterinary Microbiology; 155; 1; 2-2012; 38-430378-1135CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0378113511004305info:eu-repo/semantics/altIdentifier/doi/10.1016/j.vetmic.2011.07.034info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:37:17Zoai:ri.conicet.gov.ar:11336/268737instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:37:18.223CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach |
title |
Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach |
spellingShingle |
Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach Álvarez, Julio tuberculosis cattle diagnostic tests |
title_short |
Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach |
title_full |
Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach |
title_fullStr |
Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach |
title_full_unstemmed |
Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach |
title_sort |
Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach |
dc.creator.none.fl_str_mv |
Álvarez, Julio Perez, Andres Maximiliano Bezos, Javier Marqués, Sergio Grau, Anna Saez, Jose Luis Mínguez, Olga de Juan, Lucía Domínguez, Lucas |
author |
Álvarez, Julio |
author_facet |
Álvarez, Julio Perez, Andres Maximiliano Bezos, Javier Marqués, Sergio Grau, Anna Saez, Jose Luis Mínguez, Olga de Juan, Lucía Domínguez, Lucas |
author_role |
author |
author2 |
Perez, Andres Maximiliano Bezos, Javier Marqués, Sergio Grau, Anna Saez, Jose Luis Mínguez, Olga de Juan, Lucía Domínguez, Lucas |
author2_role |
author author author author author author author author |
dc.subject.none.fl_str_mv |
tuberculosis cattle diagnostic tests |
topic |
tuberculosis cattle diagnostic tests |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/4.3 https://purl.org/becyt/ford/4 |
dc.description.none.fl_txt_mv |
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-g) assay] currently used in Spain. Field data from the first implementation of IFN-g assay (used in parallel with SIT test 2–6 months 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-g 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-g assay). These results support the potential use of the IFN-g assay as an ancillary technique for routine BT diagnosis. Fil: Álvarez, Julio. Consejo Superior de Investigaciones Científicas; España Fil: Perez, Andres Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario; Argentina Fil: Bezos, Javier. Universidad Complutense de Madrid; España Fil: Marqués, Sergio. No especifíca; Fil: Grau, Anna. No especifíca; Fil: Saez, Jose Luis. No especifíca; Fil: Mínguez, Olga. No especifíca; Fil: de Juan, Lucía. Universidad Complutense de Madrid; España Fil: Domínguez, Lucas. Universidad Complutense de Madrid; España |
description |
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-g) assay] currently used in Spain. Field data from the first implementation of IFN-g assay (used in parallel with SIT test 2–6 months 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-g 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-g assay). These results support the potential use of the IFN-g assay as an ancillary technique for routine BT diagnosis. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-02 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/268737 Álvarez, Julio; Perez, Andres Maximiliano; Bezos, Javier; Marqués, Sergio; Grau, Anna; et al.; Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach; Elsevier Science; Veterinary Microbiology; 155; 1; 2-2012; 38-43 0378-1135 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/268737 |
identifier_str_mv |
Álvarez, Julio; Perez, Andres Maximiliano; Bezos, Javier; Marqués, Sergio; Grau, Anna; et al.; Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach; Elsevier Science; Veterinary Microbiology; 155; 1; 2-2012; 38-43 0378-1135 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0378113511004305 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.vetmic.2011.07.034 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science |
publisher.none.fl_str_mv |
Elsevier Science |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |