Diagnostic accuracy of five serologic tests for Strongyloides stercoralis infection.
Autor: | Zeno Bisoffi, Dora Buonfrate, Marco Sequi, Rojelio Mejia, Ruben O Cimino, Alejandro J Krolewiecki, Marco Albonico, Maria Gobbo, Stefania Bonafini, Andrea Angheben, Ana Requena-Mendez, José Muñoz, Thomas B Nutman |
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Jazyk: | angličtina |
Rok vydání: | 2014 |
Předmět: | |
Zdroj: | PLoS Neglected Tropical Diseases, Vol 8, Iss 1, p e2640 (2014) |
Druh dokumentu: | article |
ISSN: | 1935-2727 1935-2735 |
DOI: | 10.1371/journal.pntd.0002640 |
Popis: | BACKGROUND: The diagnosis of Strongyloides stercoralis (S. stercoralis) infection is hampered by the suboptimal sensitivity of fecal-based tests. Serological methods are believed to be more sensitive, although assessing their accuracy is difficult because of the lack of sensitivity of a fecal-based reference ("gold") standard. METHODS: The sensitivity and specificity of 5 serologic tests for S. stercoralis (in-house IFAT, NIE-ELISA and NIE-LIPS and the commercially available Bordier-ELISA and IVD-ELISA) were assessed on 399 cryopreserved serum samples. Accuracy was measured using fecal results as the primary reference standard, but also using a composite reference standard (based on a combination of tests). RESULTS: According to the latter standard, the most sensitive test was IFAT, with 94.6% sensitivity (91.2-96.9), followed by IVD-ELISA (92.3%, 87.7-96.9). The most specific test was NIE-LIPS, with specificity 99.6% (98.9-100), followed by IVD-ELISA (97.4%, 95.5-99.3). NIE-LIPS did not cross-react with any of the specimens from subjects with other parasitic infections. NIE-LIPS and the two commercial ELISAs approach 100% specificity at a cut off level that maintains ≥70% sensitivity. CONCLUSIONS: NIE-LIPS is the most accurate serologic test for the diagnosis of S. stercoralis infection. IFAT and each of the ELISA tests are sufficiently accurate, above a given cut off, for diagnosis, prevalence studies and inclusion in clinical trials. |
Databáze: | Directory of Open Access Journals |
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