Skip to main content

Latent class analysis permits unbiased estimates of the validity of DAT for the diagnosis of visceral leishmaniasis

Buy Article:

$51.00 plus tax (Refund Policy)

Abstract:

Summary

background Substantial uncertainty surrounds the specificity of the Direct Agglutination Test (DAT) for visceral leishmaniasis (VL) in clinical suspects, since no good gold standard exists for unequivocally identifying diseased subjects. We explored the Latent Class Analysis (LCA) modelling technique to circumvent this problem.

patients and methods Data on 149 clinical suspects recruited in 1993–96 during a multicentre study in Sudan were re-examined. Clinical data, lymph node and bone marrow aspirate and DAT results were available. IFAT was performed in 1997 on stored filter paper blood of 80 individuals. Classical Validity Analysis (CVA) in a 2 × 2 contingency table with parasitology as a gold standard was compared with the parameter estimates produced by the best fitting LCA model.

results The sensitivity estimates of DAT produced by CVA (98% (89%-100%)) were almost exactly reproduced by LCA. The specificity estimates by LCA were substantially higher than those obtained in CVA. Specificity of DAT depended, however, on whether the subject was treated for VL before. In subjects without prior treatment, CVA estimated DAT specificity at 68% (56%– 79%), whereas LCA estimated it at 85% (63%– 100%).

conclusion LCA modelling proved a useful tool, as it gave consistent estimates of test characteristics and allowed for control of confounding factors and interaction effects. Since VL is a life-threatening disease for which expensive but effective and safe treatment exists, a clinical suspect in an endemic area should be treated on the basis of a positive DAT result.

Keywords: direct agglutination test; latent class analysis; sensitivity; specificity; visceral leishmaniasis

Document Type: Research Article

DOI: https://doi.org/10.1046/j.1365-3156.1999.00421.x

Affiliations: 1: Epidemiology Unit, Prince Leopold Institute of Tropical Medicine, Antwerp, Belgium 2: Department of Medical Microbiology and Parasitology, University of Khartoum, Sudan 3: Department of Applied Mathematics and Informatics, Universiteit Gent, Belgium 4: Unidade de Leishmanioses, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Portugal 5: Protozoology Unit, Prince Leopold Institute of Tropical Medicine, Antwerp, Belgium

Publication date: 1999-05-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more