Publication:
Defining the true sensitivity of culture for the diagnosis of melioidosis using Bayesian latent class models

dc.contributor.authorDirek Limmathurotsakulen_US
dc.contributor.authorKris Jamsenen_US
dc.contributor.authorArkhom Arayawichanonten_US
dc.contributor.authorJulie A. Simpsonen_US
dc.contributor.authorLisa J. Whiteen_US
dc.contributor.authorSue J. Leeen_US
dc.contributor.authorVanaporn Wuthiekanunen_US
dc.contributor.authorNarisara Chantratitaen_US
dc.contributor.authorAllen Chengen_US
dc.contributor.authorNicholas P.J. Dayen_US
dc.contributor.authorClaudio Verzillien_US
dc.contributor.authorSharon J. Peacocken_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherUniversity of Melbourneen_US
dc.contributor.otherSappasitthiprasong Hospitalen_US
dc.contributor.otherNuffield Department of Clinical Medicineen_US
dc.contributor.otherMonash Universityen_US
dc.contributor.otherMenzies School of Health Researchen_US
dc.contributor.otherLondon School of Hygiene & Tropical Medicineen_US
dc.contributor.otherUniversity of Cambridgeen_US
dc.date.accessioned2018-09-24T08:37:19Z
dc.date.available2018-09-24T08:37:19Z
dc.date.issued2010-10-21en_US
dc.description.abstractBackground: Culture remains the diagnostic gold standard for many bacterial infections, and the method against which other tests are often evaluated. Specificity of culture is 100% if the pathogenic organism is not found in healthy subjects, but the sensitivity of culture is more difficult to determine and may be low. Here, we apply Bayesian latent class models (LCMs) to data from patients with a single Gram-negative bacterial infection and define the true sensitivity of culture together with the impact of misclassification by culture on the reported accuracy of alternative diagnostic tests. Methods/Principal Findings: Data from published studies describing the application of five diagnostic tests (culture and four serological tests) to a patient cohort with suspected melioidosis were re-analysed using several Bayesian LCMs. Sensitivities, specificities, and positive and negative predictive values (PPVs and NPVs) were calculated. Of 320 patients with suspected melioidosis, 119 (37%) had culture confirmed melioidosis. Using the final model (Bayesian LCM with conditional dependence between serological tests), the sensitivity of culture was estimated to be 60.2%. Prediction accuracy of the final model was assessed using a classification tool to grade patients according to the likelihood of melioidosis, which indicated that an estimated disease prevalence of 61.6% was credible. Estimates of sensitivities, specificities, PPVs and NPVs of four serological tests were significantly different from previously published values in which culture was used as the gold standard. Conclusions/Significance: Culture has low sensitivity and low NPV for the diagnosis of melioidosis and is an imperfect gold standard against which to evaluate alternative tests. Models should be used to support the evaluation of diagnostic tests with an imperfect gold standard. It is likely that the poor sensitivity/specificity of culture is not specific for melioidosis, but rather a generic problem for many bacterial and fungal infections. © 2010 Limmathurotsakul et al.en_US
dc.identifier.citationPLoS ONE. Vol.5, No.8 (2010)en_US
dc.identifier.doi10.1371/journal.pone.0012485en_US
dc.identifier.issn19326203en_US
dc.identifier.other2-s2.0-77957965673en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/28444
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77957965673&origin=inwarden_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.titleDefining the true sensitivity of culture for the diagnosis of melioidosis using Bayesian latent class modelsen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77957965673&origin=inwarden_US

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