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

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Abstract Background 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… Click to show full abstract

Abstract Background 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.

Keywords: using gaussian; elisa test; test; mixture model; aureus; gaussian mixture

Journal Title: Veterinary Medicine and Science
Year Published: 2022

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