Bayesian latent class analysis to estimate the optimal cut-off for the MilA ELISA for the detection of Mycoplasma bovis antibodies in sera, accounting for repeated measures

Salgadu, Ayesha; Cheung, Allison; Schibrowski, Meghan; Wawegama, Nadeeka K.; Mahony, Timothy J.; Stevenson, Mark; Browning, Glenn F.; Barnes, Tamsin S.; Firestone, Simon M.

doi:10.1016/j.prevetmed.2022.105694

Cited by 7 publications

(2 citation statements)

References 33 publications

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“…This could be due to different latent classes, as in previous study the comparison was made between an antibody test and PCR [ 16 ]. Another reason could be due to the circulation of other Mycoplasma strains and species, as was opted for the reason for the inferior diagnostic performance of this test on serum from Australian cattle [ 11 , 26 ]. Nielsen et al (2015) also proposed to adjust cutoff values, but from ≥ 37% to ≥ 50% to improve specificity.…”

Section: Discussionmentioning

confidence: 99%

Diagnostic performance of Mycoplasmopsis bovis antibody ELISA tests on bulk tank milk from dairy herds

Bokma,

Kaske,

Vermijlen

et al. 2024

BMC Vet Res

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Background Testing of bulk tank milk (BTM) for Mycoplasmopsis bovis (previously Mycoplasma bovis) antibodies is increasingly popular. However the performance of some commercially available tests is unknown, and cutoff values possibly need to be adjusted in light of the purpose. Therefore, the aim of this study was to compare the diagnostic performance of three commercially available M. bovis antibody ELISAs on BTM, and to explore optimal cutoff values for screening purposes. A prospective diagnostic test accuracy study was performed on 156 BTM samples from Belgian and Swiss dairy farms using Bayesian Latent Class Analysis. Samples were initially classified using manufacturer cutoff values, followed by generated values. Results Following the manufacturer’s guidelines, sensitivity of 91.4%, 25.6%, 69.2%, and specificity of 67.2%, 96.8%, 85.8% were observed for ID-screen, Bio K432, and Bio K302, respectively. Optimization of cutoffs resulted in a sensitivity of 89.0%, 82.0%, and 85.5%, and a specificity of 83.4%, 75.1%, 77.2%, respectively. Conclusions The ID-screen showed the highest diagnostic performance after optimization of cutoff values, and could be useful for screening. Both Bio-X tests may be of value for diagnostic or confirmation purposes due to their high specificity.

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Section: Discussionmentioning

confidence: 99%

Diagnostic performance of Mycoplasmopsis bovis antibody ELISA tests on bulk tank milk from dairy herds

Bokma,

Kaske,

Vermijlen

et al. 2024

BMC Vet Res

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“…The analysis was implemented in OpenBugs within the R statistical software ( 51 ) and RStudio environments ( 52 ) using packages r2OpenBugs ( 53 ). Programming code for the model implementation was adapted from Cheung et al ( 48 ) and Salgadu et al ( 54 ) and is provided in Supplementary Appendix S3 . The model was fit using non-informative priors for Bayesian estimates of Se and Sp due to either limited data (cPCR) or no published data (Biomeme and PCR-HRM) on C. burnetii detection in African ticks.…”

Section: Methodsmentioning

confidence: 99%

Comparison of test performance of a conventional PCR and two field-friendly tests to detect Coxiella burnetii DNA in ticks using Bayesian latent class analysis

Kamau,

Witte,

Goosen

et al. 2024

Front. Vet. Sci.

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IntroductionCoxiella burnetii (C. burnetii)-infected livestock and wildlife have been epidemiologically linked to human Q fever outbreaks. Despite this growing zoonotic threat, knowledge of coxiellosis in wild animals remains limited, and studies to understand their epidemiologic role are needed. In C. burnetii-endemic areas, ticks have been reported to harbor and spread C. burnetii and may serve as indicators of risk of infection in wild animal habitats. Therefore, the aim of this study was to compare molecular techniques for detecting C. burnetii DNA in ticks.MethodsIn total, 169 ticks from wild animals and cattle in wildlife conservancies in northern Kenya were screened for C. burnetii DNA using a conventional PCR (cPCR) and two field-friendly techniques: Biomeme’s C. burnetii qPCR Go-strips (Biomeme) and a new C. burnetii PCR high-resolution melt (PCR-HRM) analysis assay. Results were evaluated, in the absence of a gold standard test, using Bayesian latent class analysis (BLCA) to characterize the proportion of C. burnetii positive ticks and estimate sensitivity (Se) and specificity (Sp) of the three tests.ResultsThe final BLCA model included main effects and estimated that PCR-HRM had the highest Se (86%; 95% credible interval: 56–99%), followed by the Biomeme (Se = 57%; 95% credible interval: 34–90%), with the estimated Se of the cPCR being the lowest (24%, 95% credible interval: 10–47%). Specificity estimates for all three assays ranged from 94 to 98%. Based on the model, an estimated 16% of ticks had C. burnetii DNA present.DiscussionThese results reflect the endemicity of C. burnetii in northern Kenya and show the promise of the PCR-HRM assay for C. burnetii surveillance in ticks. Further studies using ticks and wild animal samples will enhance understanding of the epidemiological role of ticks in Q fever.

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A Bayesian finite mixture model approach to evaluate dichotomization method for correlated ELISA tests

Chen,

Xiao,

Yang

2024

Preventive Veterinary Medicine

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Bayesian latent class analysis to estimate the optimal cut-off for the MilA ELISA for the detection of Mycoplasma bovis antibodies in sera, accounting for repeated measures

Cited by 7 publications

References 33 publications

Diagnostic performance of Mycoplasmopsis bovis antibody ELISA tests on bulk tank milk from dairy herds

Diagnostic performance of Mycoplasmopsis bovis antibody ELISA tests on bulk tank milk from dairy herds

Comparison of test performance of a conventional PCR and two field-friendly tests to detect Coxiella burnetii DNA in ticks using Bayesian latent class analysis

A Bayesian finite mixture model approach to evaluate dichotomization method for correlated ELISA tests

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