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Accuracy of rapid test for diagnosis of hepatitis A with different infection rate settings and with predictive modeling

    Camilla R de Almeida Ribeiro

    Laboratory of Molecular Virology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil

    ,
    Luciane A Amado

    *Author for correspondence: Tel.: +55 21 2562 1876;

    E-mail Address: l_amado@ioc.fiocruz.br

    Laboratory of Development Technological in Virology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil

    ,
    Renata S Tourinho

    Laboratory of Development Technological in Virology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil

    ,
    Lyana R Pinto Lima

    Laboratory of Molecular Virology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil

    ,
    Juliana G Melgaço

    Laboratory of Development Technological in Virology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil

    ,
    Adilson J de Almeida

    Department of General Medicine, Gaffrée & Guinle University Hospital, Federal University of the State of Rio de Janeiro School of Medicine & Surgery, Rio de Janeiro, Brazil

    ,
    Leonardo S Bastos

    Scientific Computing Program, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil

    ,
    Lia L Lewis-Ximenez

    Ambulatory Clinic of Viral Hepatitis/Viral Hepatitis Laboratory, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil

    &
    Vanessa S de Paula

    Laboratory of Molecular Virology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil

    Published Online:https://doi.org/10.2217/fmb-2018-0211

    Aim: We evaluated the accuracy of a commercial rapid immunochromatographic test (rapid test [RT]) for hepatitis A (HA) diagnosis and epidemiological studies. Materials & methods: The accuracy of a RT was evaluated in laboratory and in field conditions. Predictive modeling estimated the test performance in a hypothetical population. Results: The RT showed sensitivities of 66–86%, and specificities of 21–100%, depending on the antibody isotype (IgM or IgG) analyzed and prevalence of infection. Conclusion: The RT is a good alternative for diagnostic in HA outbreaks. The predictive model indicates that it should not be used alone for HA diagnosis in low prevalence populations. These data can be used in the future to strengthen decision-making during the implementation of rapid diagnostic methods in health services.

    Papers of special note have been highlighted as: • of interest; •• of considerable interest

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