title: Sensitivity and specificity of a hand-held milk electrical conductivity meter compared to the California mastitis test for mastitis in dairy cattle.
abstract: Screening tests for mastitis can play an important role in proactive mastitis control programs. The primary objective of this study was to compare the sensitivity and specificity of milk electrical conductivity (EC) to the California mastitis test (CMT) in commercial dairy cattle in South Africa using Bayesian methods without a perfect reference test. A total of 1848 quarter milk specimens were collected from 173 cows sampled during six sequential farm visits. Of these samples, 25.8% yielded pathogenic bacterial isolates. The most frequently isolated species were coagulase negative Staphylococci (n=346), Streptococcus agalactiae (n=54), and Staphylococcus aureus (n=42). The overall cow-level prevalence of mastitis was 54% based on the Bayesian latent class (BLC) analysis. The CMT was more accurate than EC for classification of cows having somatic cell counts >200,000/mL and for isolation of a bacterial pathogen. BLC analysis also suggested an overall benefit of CMT over EC but the statistical evidence was not strong (P=0.257). The Bayesian model estimated the sensitivity and specificity of EC (measured via resistance) at a cut-point of >25 mΩ/cm to be 89.9% and 86.8%, respectively. The CMT had a sensitivity and specificity of 94.5% and 77.7%, respectively, when evaluated at the weak positive cut-point. EC was useful for identifying milk specimens harbouring pathogens but was not able to differentiate among evaluated bacterial isolates. Screening tests can be used to improve udder health as part of a proactive management plan.
authors.affiliation: Department of Production Animal Studies, Faculty of Veterinary Science, University of Pretoria, Onderstepoort 0110, South Africa. geoffrey.fosgate@up.ac.za
authors.forename: G T
authors.initials: GT
authors.lastname: Fosgate
authors.forename: I M
authors.initials: IM
authors.lastname: Petzer
authors.forename: J
authors.initials: J
authors.lastname: Karzis
mesh_terms: D000818:Animals; D001419:Bacteria / Q000145:classification / Q000302:isolation & purification*; D001499:Bayes Theorem; D002417:Cattle; D002452:Cell Count / Q000379:methods* / Q000662:veterinary; D003612:Dairying / Q000379:methods*; D004553:Electric Conductivity; D005260:Female; D008414:Mastitis, Bovine / Q000175:diagnosis* / Q000453:epidemiology / Q000382:microbiology; D008892:Milk / Q000382:microbiology / Q000502:physiology*; D015995:Prevalence; D012680:Sensitivity and Specificity; D013019:South Africa / Q000453:epidemiology