Diagnostic performance of ELISA, IFAT and Western blot for the detection of anti- Leishmania infantum antibodies in cats using a Bayesian analysis without a gold standard
Persichetti, Maria Flaminia (Istituto Zooprofilattico Sperimentale della Sicilia)
Vullo, Angela (Istituto Zooprofilattico Sperimentale della Sicilia)
Masucci, Marisa (Università degli Studi di Messina. Dipartimento di Scienze Veterinarie)
Marty, Pierre (Université de Nice-Sophia Antipolis. Centre Hospitalier Universitaire de Nice)
Delaunay, Pascal (Université de Nice-Sophia Antipolis. Centre Hospitalier Universitaire de Nice)
Vitale, Fabrizio (Istituto Zooprofilattico Sperimentale della Sicilia)
Pennisi, Maria Grazia (Università degli Studi di Messina. Dipartimento di Scienze Veterinarie)

Fecha:	2017
Resumen:	Anti- Leishmania antibodies are increasingly investigated in cats for epidemiological studies or for the diagnosis of clinical feline leishmaniosis. The immunofluorescent antibody test (IFAT), the enzyme-linked immunosorbent assay (ELISA) and western blot (WB) are the serological tests more frequently used. The aim of the present study was to assess diagnostic performance of IFAT, ELISA and WB to detect anti- L. infantum antibodies in feline serum samples obtained from endemic (n = 76) and non-endemic (n = 64) areas and from cats affected by feline leishmaniosis (n = 21) by a Bayesian approach without a gold standard. Cut-offs were set at 80 titre for IFAT and 40 ELISA units for ELISA. WB was considered positive in presence of at least a 18 KDa band. Statistical analysis was performed through a written routine with MATLAB software in the Bayesian framework. The latent data and observations from the joint posterior were simulated in the Bayesian approach by an iterative Markov Chain Monte Carlo technique using the Gibbs sampler for estimating sensitivity and specificity of the three tests. The median seroprevalence in the sample used for evaluating the performance of tests was estimated at 0. 27 [credible interval (CI) = 0. 20-0. 34]. The median sensitivity of the three different methods was 0. 97 (CI: 0. 86-1. 00), 0. 75 (CI: 0. 61-0. 87) and 0. 70 (CI: 0. 56-0. 83) for WB, IFAT and ELISA, respectively. Median specificity reached 0. 99 (CI: 0. 96-1. 00) with WB, 0. 97 (CI: 0. 93-0. 99) with IFAT and 0. 98 (CI: 0. 94-1. 00) with ELISA. IFAT was more sensitive than ELISA (75 vs 70%) for the detection of subclinical infection while ELISA was better for diagnosing clinical leishmaniosis when compared with IFAT (98 vs 97%). The overall performance of all serological techniques was good and the most accurate test for anti- Leishmania antibody detection in feline serum samples was WB.
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Bayesian analysis ; Cat ; Diagnostic performance ; ELISA ; Gold standard ; IFAT ; Leishmania ; Leishmaniosis ; Serological diagnosis ; Western blot
Publicado en:	Parasites & vectors, Vol. 10 (march 2017) , ISSN 1756-3305

DOI: 10.1186/s13071-017-2046-3
PMID: 28285598

8 p, 409.9 KB

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