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Assessment of the sensitivity and specificity of serological (IFAT) and molecular (direct PCR) techniques for diagnosis of leishmaniasis in lagomorphs using a Bayesian approach

Veterinary Medicine and Science publica este artículo de investigación

15 de junio de 2016

Leishmaniasis, caused by Leishmania infantum, is a vector-borne zoonotic disease that is endemic to the Mediterranean basin. The potential of rabbits and hares to serve as competent reservoirs for the disease has recently been demonstrated, although assessment of the importance of their role on disease dynamics is hampered by the absence of quantitative knowledge on the accuracy of diagnostic techniques in these species. A Bayesian latent-class model was used here to estimate the sensitivity and specificity of the Immuno-fluorescence antibody test (IFAT) in serum and a Leishmania-nested PCR (Ln-PCR) in skin for samples collected from 217 rabbits and 70 hares from two different populations in the region of Madrid, Spain. A two-population model, assuming conditional independence between test results and incorporating prior information on the performance of the tests in other animal species obtained from the literature, was used. Two alternative cut-off values were assumed for the interpretation of the IFAT results: 1/50 for conservative and 1/25 for sensitive interpretation. Results suggest that sensitivity and specificity of the IFAT were around 70–80%, whereas the Ln-PCR was highly specific (96%) but had a limited sensitivity (28.9% applying the conservative interpretation and 21.3% with the sensitive one). Prevalence was higher in the rabbit population (50.5% and 72.6%, for the conservative and sensitive interpretation, respectively) than in hares (6.7% and 13.2%). Our results demonstrate that the IFAT may be a useful screening tool for diagnosis of leishmaniasis in rabbits and hares. These results will help to design and implement surveillance programmes in wild species, with the ultimate objective of early detecting and preventing incursions of the disease into domestic and human populations




de la Cruz ML., Perez AM., Dominguez M., Moreno I., Garcia N., Martinez I., Navarro A., Dominguez L. y Alvarez J..




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Assessment of the sensitivity and specificity of serological (IFAT) and molecular (direct PCR) techniques for diagnosis of leishmaniasis in lagomorphs using a Bayesian approach

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Assessment of the sensitivity and specificity of serological (IFAT) and molecular (direct PCR) techniques for diagnosis of leishmaniasis in lagomorphs using a Bayesian approach



Participantes:

Universidad ComplutenseServicio de Zoonosis Emergentes, de Baja Prevalencia y Agresivos Biológicos (NED). Centro de Vigilancia Sanitaria Veterinaria (VISAVET). Universidad Complutense (UCM).

Instituto de Salud Carlos IIICentro Nacional de Microbiología (CNM). Instituto de Salud Carlos III (ISCIII).

University of MinnesotaUniversity of Minnesota (UMM).







Veterinary Medicine and Science
FACTOR YEAR Q
N/A

PMID: 29067196

ISSN: 2053-1095



TÍTULO: Assessment of the sensitivity and specificity of serological (IFAT) and molecular (direct PCR) techniques for diagnosis of leishmaniasis in lagomorphs using a Bayesian approach


REVISTA: Vet Med Sci


NUMERACIÓN: 2(3):211-220


AÑO: 2016


EDITORIAL: Wiley


AUTORES: de la Cruz ML., Perez AM., Dominguez M., Moreno I., Garcia N., Martinez I., Navarro A., Dominguez L. and Alvarez J..


2nd
Andrés Maximiliano Pérez
3rd
Mercedes Domínguez Rodríguez
4th
Inmaculada Moreno Iruela
5th
Nerea García Benzaquén
6th
Irene Martínez Alares
7th
Alejandro Navarro Gómez
8th
Lucas Domínguez Rodríguez
Last
Julio Álvarez Sánchez

DOI: https://doi.org/10.1002/vms3.37


CITA ESTA PUBLICACIÓN:

de la Cruz ML., Perez AM., Dominguez M., Moreno I., Garcia N., Martinez I., Navarro A., Dominguez L. y Alvarez J. Assessment of the sensitivity and specificity of serological (IFAT) and molecular (direct PCR) techniques for diagnosis of leishmaniasis in lagomorphs using a Bayesian approach. Veterinary Medicine and Science. 2(3):211-220. 2016. (A). ISSN: 2053-1095. DOI: 10.1002/vms3.37


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