Literature DB >> 26754926

Bayesian estimation of sensitivity and specificity of a commercial serum/milk ELISA against the Mycobacterium avium subsp. Paratuberculosis (MAP) antibody response for each lactation stage in Greek dairy sheep.

Elisavet Angelidou1, Polychronis Kostoulas2, Leonidas Leontides2.   

Abstract

A total of 854 paired milk and blood samples were collected from ewes of a Greek flock and used to estimate the sensitivity and specificity of a commercial ELISA for detection of Mycobacterium avium subsp. paratuberculosis (MAP) specific antibodies in each stage of lactation. We implemented Bayesian mixture models to derive the distributions of the test response for the healthy and the infected ewes. In the colostrum period, early, mid and late lactation stage the median values of the area under the curves (AUC) were 0.61 (95% credible interval: 0.50; 0.84), 0.61 (0.51;0.84), 0.65 (0.51;0.91), 0.65(0.51;0.89) for the serum ELISA and and 0.60 (0.50; 0.84), 0.61 (0.50; 0.84), 0.67(0.51; 0.91), 0.66(0.50; 0.90) for the milk ELISA, respectively. Both serum and milk ELISA had low to average overall discriminatory ability as measured by the area under the curves and comparable sensitivities and specificities at the recommended cutoffs.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Milk ELISA; Paratuberculosis; Sheep; Validation

Mesh:

Substances:

Year:  2015        PMID: 26754926     DOI: 10.1016/j.prevetmed.2015.12.011

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  3 in total

1.  Development of a Recombinase Polymerase Amplification Assay for Rapid Detection of the Mycobacterium avium subsp. paratuberculosis.

Authors:  Sören Hansen; Jenny Schäfer; Kim Fechner; Claus-Peter Czerny; Ahmed Abd El Wahed
Journal:  PLoS One       Date:  2016-12-19       Impact factor: 3.240

2.  Estimation of the sensitivity and specificity of two serum ELISAs and one fecal qPCR for diagnosis of paratuberculosis in sub-clinically infected young-adult French sheep using latent class Bayesian modeling.

Authors:  Yoann Mathevon; Gilles Foucras; Rémy Falguières; Fabien Corbiere
Journal:  BMC Vet Res       Date:  2017-08-03       Impact factor: 2.741

3.  A nested compartmental model to assess the efficacy of paratuberculosis control measures on U.S. dairy farms.

Authors:  Malinee Konboon; Majid Bani-Yaghoub; Patrick O Pithua; Noah Rhee; Sharif S Aly
Journal:  PLoS One       Date:  2018-10-02       Impact factor: 3.240

  3 in total

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