Performance of the StaphGold ELISA test in determining subclinical Staphylococcus aureus infections in dairy cows using a Gaussian mixture model

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dc.citation.issue4
dc.citation.volume8
dc.contributor.authorYang DA
dc.contributor.authorLaven RA
dc.coverage.spatialEngland
dc.date.accessioned2024-02-01T20:47:00Z
dc.date.accessioned2024-07-25T06:33:10Z
dc.date.available2022-03-25
dc.date.available2024-02-01T20:47:00Z
dc.date.available2024-07-25T06:33:10Z
dc.date.issued2022-07-20
dc.description.abstractBACKGROUND: A novel ELISA test has been developed to detect antigen-specific IgG in early and late lactation cows in New Zealand. OBJECTIVES: This study was to evaluate the discriminatory ability of the ELISA based on the detection of S. aureus-specific IgG as a screening test. METHODS: The ELISA was used for the composite milk samples taken during routine herd testing in 2018-2019 milking season in New Zealand. In the absence of a gold standard test, the diagnostic specificity and sensitivity was estimated using a Gaussian mixture model. RESULTS: The ELISA test had a high accuracy (AUC = 0.98) to detect antigen-specific IgG in early and late lactation cows with high somatic cell count due to either subsequent to or contemporaneous with the S. aureus invasion. Using an S/P ratio = 0.3 as the cut-off value, the ELISA test has sensitivity of 0.9 and specificity of 0.95, while the sensitivity increased to 0.94 at a cost of a decreased specificity of 0.9 at a lower cut-off value 0.26. CONCLUSIONS: The integration of the ELISA test as a screening tool into specific control programs may be useful to reduce the spread of S. aureus infections, to aid with treatment decisions, and to establish a correct milking order.
dc.description.confidentialfalse
dc.edition.editionJuly 2022
dc.format.pagination1632-1639
dc.identifier.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/35334160
dc.identifier.citationYang DA, Laven RA. (2022). Performance of the StaphGold ELISA test in determining subclinical Staphylococcus aureus infections in dairy cows using a Gaussian mixture model.. Vet Med Sci. 8. 4. (pp. 1632-1639).
dc.identifier.doi10.1002/vms3.785
dc.identifier.eissn2053-1095
dc.identifier.elements-typejournal-article
dc.identifier.issn2053-1095
dc.identifier.numberARTN e785
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/70401
dc.languageeng
dc.publisherJohn Wiley and Sons Ltd
dc.publisher.urihttps://onlinelibrary.wiley.com/doi/10.1002/vms3.785
dc.relation.isPartOfVet Med Sci
dc.rights(c) The author/sen
dc.rights.licenseCC BY-NC-NDen
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectStaphylococcus aureus
dc.subjectdairy cattle
dc.subjectlatent class analysis
dc.subjectreceiver operating characteristic curve
dc.subjectserology
dc.subjectsubclinical mastitis
dc.subjectunsupervised learning
dc.subjectAnimals
dc.subjectCattle
dc.subjectCattle Diseases
dc.subjectEnzyme-Linked Immunosorbent Assay
dc.subjectFemale
dc.subjectImmunoglobulin G
dc.subjectMastitis, Bovine
dc.subjectSensitivity and Specificity
dc.subjectStaphylococcal Infections
dc.subjectStaphylococcus aureus
dc.titlePerformance of the StaphGold ELISA test in determining subclinical Staphylococcus aureus infections in dairy cows using a Gaussian mixture model
dc.typeJournal article
pubs.elements-id452639
pubs.organisational-groupOther
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