title: Latent-class methods to evaluate diagnostics tests for Echinococcus infections in dogs.
abstract: BACKGROUND
  The diagnosis of canine echinococcosis can be a challenge in surveillance studies because there is no perfect gold standard that can be used routinely. However, unknown test specificities and sensitivities can be overcome using latent-class analysis with appropriate data.
  
  
  METHODS
  We utilised a set of faecal and purge samples used previously to explore the epidemiology of canine echinococcosis on the Tibetan plateau. Previously only the purge results were reported and analysed in a largely deterministic way. In the present study, additional diagnostic tests of copro-PCR and copro-antigen ELISA were undertaken on the faecal samples. This enabled a Bayesian analysis in a latent-class model to examine the diagnostic performance of a genus specific copro-antigen ELISA, species-specific copro-PCR and arecoline purgation. Potential covariates including co-infection with Taenia, age and sex of the dog were also explored. The dependence structure of these diagnostic tests could also be analysed.
  
  
  RESULTS
  The most parsimonious result, indicated by deviance-information criteria, suggested that co-infection with Taenia spp. was a significant covariate with the Echinococcus infection. The copro-PCRs had estimated sensitivities of 89% and 84% respectively for the diagnoses of Echinococcus multilocularis and E. granulosus. The specificities for the copro-PCR were estimated at 93 and 83% respectively. Copro-antigen ELISA had sensitivities of 55 and 57% for the diagnosis of E. multilocularis and E. granulosus and specificities of 71 and 69% respectively. Arecoline purgation with an assumed specificity of 100% had estimated sensitivities of 76% and 85% respectively.
  
  
  CONCLUSIONS
  This study also shows that incorporating diagnostic uncertainty, in other words assuming no perfect gold standard, and including potential covariates like sex or Taenia co-infection into the epidemiological analysis may give different results than if the diagnosis of infection status is assumed to be deterministic and this approach should therefore be used whenever possible.
authors: Section of Veterinary Epidemiology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland. Sonja.Hartnack@access.uzh.ch
authors: Sonja
authors: S
authors: Hartnack
authors: Christine M
authors: CM
authors: Budke
authors: Philip S
authors: PS
authors: Craig
authors: Qiu
authors: Q
authors: Jiamin
authors: Belgees
authors: B
authors: Boufana
authors: Maiza
authors: M
authors: Campos-Ponce
authors: Paul R
authors: PR
authors: Torgerson
mesh_terms: D000818:Animals; D004283:Dog Diseases / Q000175:diagnosis*; D004285:Dogs; D004443:Echinococcosis / Q000175:diagnosis / Q000662:veterinary*; D004797:Enzyme-Linked Immunosorbent Assay / Q000379:methods; D005243:Feces / Q000469:parasitology*; D010274:Parasitology / Q000379:methods*; D016133:Polymerase Chain Reaction / Q000379:methods; D012680:Sensitivity and Specificity; D018609:Tibet; D014730:Veterinary Medicine / Q000379:methods*