Literature DB >> 17597241

Diagnostic validity and costs of pooled fecal samples and individual blood or fecal samples to determine the cow- and herd-status for Mycobacterium avium subsp. paratuberculosis.

Gerdien van Schaik1, Mónica Pradenas F, Armín Mella N, Juan Kruze V.   

Abstract

Two tests are used on a regular basis to detect Mycobacterium avium subsp. paratuberculosis (Map): ELISA and fecal culture. Fecal culture is considered more sensitive and specific but is costly and requires 3-4 months for results. Pooling of fecal samples of individual animals may reduce the high costs of fecal culture. The objective of the study was to investigate the diagnostic validity and costs for pooling of fecal samples in dairy farms relative to culture or an ELISA on individual samples to determine the cow- or herd-status for Map. Fifty fecal and blood samples per herd were collected in 12 Chilean dairy herds. The sensitivity of pooling was estimated given the pool-size, amount of shedding in the pool and the prevalence in the herd. The sensitivity of the pools relative to individual fecal culture was 46% (95% CI 29-63%) and 48% (28-68%) for pools of 5 and 10 cows, respectively. The sensitivity of the pools was lower in pools with low shedders (26 and 24% for pools of 5 and 10, respectively) than in pools with moderate or heavy shedders (>75% sensitivity). Pools of 10 cows are the better option to determine or monitor the herd status. A whole-herd ELISA is the least expensive way to determine the status of individual cows but has a lower Se and Sp than individual culture.

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Year:  2007        PMID: 17597241     DOI: 10.1016/j.prevetmed.2007.05.018

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


  9 in total

1.  Estimated within-herd prevalence (WHP) of Mycobacterium avium subsp. paratuberculosis in a sample of Minnesota dairy herds using bacterial culture of pooled fecal samples.

Authors:  Eran A Raizman; Scott J Wells; Claudia A Muñoz-Zanzi; Saraya Tavornpanich
Journal:  Can J Vet Res       Date:  2011-04       Impact factor: 1.310

2.  Recombinant 20.8-kDa protein of Mycobacterium avium subsp. paratuberculosis-based sero-diagnosis of paratuberculosis.

Authors:  P P Goswami; Gokul Chand; N S Prasad; R Deb; S H Basagoudanavar
Journal:  3 Biotech       Date:  2017-06-16       Impact factor: 2.406

Review 3.  Paratuberculosis in Latin America: a systematic review.

Authors:  I F Espeschit; D G G Schwarz; A C S Faria; M C C Souza; F A Paolicchi; R A Juste; I A Carvalho; M A S Moreira
Journal:  Trop Anim Health Prod       Date:  2017-09-07       Impact factor: 1.559

4.  Diagnosis and Molecular Characterization of Mycobacterium avium subsp. paratuberculosis from Dairy Cows in Colombia.

Authors:  J A Fernández-Silva; A Abdulmawjood; M Bülte
Journal:  Vet Med Int       Date:  2011-06-15

5.  Pathogens at the livestock-wildlife interface in Western Alberta: does transmission route matter?

Authors:  Mathieu Pruvot; Susan Kutz; Frank van der Meer; Marco Musiani; Herman W Barkema; Karin Orsel
Journal:  Vet Res       Date:  2014-02-12       Impact factor: 3.683

6.  Perceptions of veterinarians and producers concerning Johne's disease prevalence and control in US beef cow-calf operations.

Authors:  Bikash Bhattarai; Geoffrey T Fosgate; Jason B Osterstock; Seong C Park; Allen J Roussel
Journal:  BMC Vet Res       Date:  2014-01-23       Impact factor: 2.741

7.  Detection of Mycobacterium avium Subspecies Paratuberculosis in Pooled Fecal Samples by Fecal Culture and Real-Time PCR in Relation to Bacterial Density.

Authors:  Annika Wichert; Esra Einax; Natalie Hahn; Anne Klassen; Karsten Donat
Journal:  Animals (Basel)       Date:  2021-05-29       Impact factor: 2.752

8.  Observed management practices in relation to the risk of infection with paratuberculosis and to the spread of Mycobacterium avium subsp. paratuberculosis in Swiss dairy and beef herds.

Authors:  Rahel Künzler; Paul Torgerson; Selina Keller; Max Wittenbrink; Roger Stephan; Gabriela Knubben-Schweizer; Beat Berchtold; Mireille Meylan
Journal:  BMC Vet Res       Date:  2014-06-14       Impact factor: 2.741

9.  Determining an optimal pool size for testing beef herds for Johne's disease in Australia.

Authors:  Anna Ly; Navneet K Dhand; Evan S G Sergeant; Ian Marsh; Karren M Plain
Journal:  PLoS One       Date:  2019-11-20       Impact factor: 3.240

  9 in total

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