Sensibilidad y especificidad de la prueba de inmunoelectrotransferencia blot (EITB) para el diagnóstico de hidatidosis en ovinos

Translated title of the contribution: Sensitivity and specificity of the enzyme-linked immunoelectrotransfer blot test (EITB) for the diagnosis of hydatidosis in sheep

Research output: Contribution to journalOriginal Articlepeer-review

Abstract

The aim of the study was to evaluate the enzyme-linked immunoelectrotransfer blot test (EITB) in the serological diagnosis of ovine hydatidosis. In total, 80 Corriedale sheep from SAIS Pachacútec, Junín, Peru, were used and the results compared with the necropsy (gold standard). The simultaneous presence of three antigenic bands (8, 16 and 21 kDa) in the EITB was considered a positive result, while the necropsy result was positive if there was at least one cyst in the liver or lungs. The EITB showed a low sensitivity (31.2%) and a high specificity (100%). Likewise, positive (PPV) and negative (NPV) predictive values of 100 and 5.4%, respectively, but without significant association (p=0.55) between the test result and the presence of cysts. To determine the usefulness of EITB in the detection of active cysts, the presence of at least one antigenic band was considered as positive and as an active cyst (active infection) the structure that, due to its macroscopic conditions, could contain cells capable of proliferating under adequate conditions. The results showed a high sensitivity (93.6%) of the test to identify active cystic lesions with PPV of 60.3% and NPV of 57.1%, although the results were not statistically significant (p=0.439). The findings show that the EITB test reaction is not necessarily more sensitive when active cysts are present.

Translated title of the contributionSensitivity and specificity of the enzyme-linked immunoelectrotransfer blot test (EITB) for the diagnosis of hydatidosis in sheep
Original languageSpanish
Article numbere22156
JournalRevista de Investigaciones Veterinarias del Peru
Volume33
Issue number1
DOIs
StateIndexed - 2022
Externally publishedYes

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© 2022 Universidad Nacional Mayor de San Marcos. All rights reserved.

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