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Clinical Research and Practice

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Attention for Chapter 10: Microbiologic Methods in the Diagnostics of Upper Respiratory Tract Pathogens
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Chapter title
Microbiologic Methods in the Diagnostics of Upper Respiratory Tract Pathogens
Chapter number 10
Book title
Clinical Research and Practice
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/5584_2017_10
Pubmed ID
Book ISBNs
978-3-31-965444-7, 978-3-31-965445-4
Authors

J. Kompanikova, A. Zumdick, M. Neuschlova, V. Sadlonova, E. Novakova, Kompanikova, J., Zumdick, A., Neuschlova, M., Sadlonova, V., Novakova, E.

Abstract

Upper respiratory tract infection (URI) is a nonspecific term used to describe acute infections involving the nose, paranasal sinuses, pharynx, and larynx above the vocal cords. The aim of this study was to provide a summary of the most common pathogens of URI and to compare advantages and disadvantages of traditional and new rapid microbiological tests used to identify them. Blood samples were simultaneously examined by the enzyme-linked immunosorbent assay (ELISA) and by the FilmArray Respiratory Panel for eight different pathogens in a total of 15 tests performed in nasopharyngeal swabs. The ELISA method is unable to identify the pathologic agent until the host's immune system elicits a response. The method is readily available in many laboratories at a low cost, which puts less strain on economic resources. The FilmArray(®) Panel, on the other hand, is more expensive, but it is fast and exact in the identification of a broad spectrum etiologic agents. Nonetheless, since most repiratory tract infections are viral in origin and there is no treatment available, the diagnosis provided by the FilmArray Panel does not provide any additional clinical benefit and thus should be used only whenever necessary on the individual basis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 24%
Professor > Associate Professor 2 12%
Student > Bachelor 2 12%
Other 1 6%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 6 35%
Readers by discipline Count As %
Medicine and Dentistry 7 41%
Immunology and Microbiology 1 6%
Engineering 1 6%
Unknown 8 47%