Yang DALaven RA2024-02-012024-07-252022-03-252024-02-012024-07-252022-07-20Yang 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).2053-1095https://mro.massey.ac.nz/handle/10179/70401BACKGROUND: 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.(c) The author/shttps://creativecommons.org/licenses/by-nc-nd/4.0/Staphylococcus aureusdairy cattlelatent class analysisreceiver operating characteristic curveserologysubclinical mastitisunsupervised learningAnimalsCattleCattle DiseasesEnzyme-Linked Immunosorbent AssayFemaleImmunoglobulin GMastitis, BovineSensitivity and SpecificityStaphylococcal InfectionsStaphylococcus aureusPerformance of the StaphGold ELISA test in determining subclinical Staphylococcus aureus infections in dairy cows using a Gaussian mixture modelJournal article10.1002/vms3.7852053-1095CC BY-NC-NDjournal-article1632-1639https://www.ncbi.nlm.nih.gov/pubmed/35334160ARTN e785