Automated parasitological diagnosis in clinical microbiology laboratories

Abstract Although there is a low prevalence of parasitological infections in Europe, the diagnosis of intestinal parasites is still difficult and laborious for microbiology laboratories. Currently, antigen detection assays and molecular biology allow a more accurate diagnosis, but these techniques h...

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Autores principales: Gema Fernández-Rivas, Belén Rivaya, Nona Romaní, Jun Hao Wang Wang, Mireya Alcaide, Lurdes Matas
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/911f7ba98783447e8efc5e6023f0ee83
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spelling oai:doaj.org-article:911f7ba98783447e8efc5e6023f0ee832021-12-02T16:05:54ZAutomated parasitological diagnosis in clinical microbiology laboratories10.1038/s41598-021-92441-32045-2322https://doaj.org/article/911f7ba98783447e8efc5e6023f0ee832021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92441-3https://doaj.org/toc/2045-2322Abstract Although there is a low prevalence of parasitological infections in Europe, the diagnosis of intestinal parasites is still difficult and laborious for microbiology laboratories. Currently, antigen detection assays and molecular biology allow a more accurate diagnosis, but these techniques have limitations as they cannot detect all the possible parasites present in the samples. The objective of the study was to evaluate the accuracy and the usefulness of automated microscopy SediMAX2 (77 Elektronika, Budapest, Hungary) in the detection of parasitic infections from feces. A total of 197 formol-fixed stool samples were processed in parallel by wet mount examination and by SediMAX2. Sensitivities, specificities and predictive values were analyzed, reaching a sensitivity of 89.51% and a specificity of 98.15% and a very good positive predictive value (99.22%). SediMAX2 is a good tool for a reliable diagnosis of intestinal parasitic infections. The rapid processing and the flexibilty of storage of images analyzed make its incorporation into the day to day laboratory routine recommendable.Gema Fernández-RivasBelén RivayaNona RomaníJun Hao Wang WangMireya AlcaideLurdes MatasNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-6 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Gema Fernández-Rivas
Belén Rivaya
Nona Romaní
Jun Hao Wang Wang
Mireya Alcaide
Lurdes Matas
Automated parasitological diagnosis in clinical microbiology laboratories
description Abstract Although there is a low prevalence of parasitological infections in Europe, the diagnosis of intestinal parasites is still difficult and laborious for microbiology laboratories. Currently, antigen detection assays and molecular biology allow a more accurate diagnosis, but these techniques have limitations as they cannot detect all the possible parasites present in the samples. The objective of the study was to evaluate the accuracy and the usefulness of automated microscopy SediMAX2 (77 Elektronika, Budapest, Hungary) in the detection of parasitic infections from feces. A total of 197 formol-fixed stool samples were processed in parallel by wet mount examination and by SediMAX2. Sensitivities, specificities and predictive values were analyzed, reaching a sensitivity of 89.51% and a specificity of 98.15% and a very good positive predictive value (99.22%). SediMAX2 is a good tool for a reliable diagnosis of intestinal parasitic infections. The rapid processing and the flexibilty of storage of images analyzed make its incorporation into the day to day laboratory routine recommendable.
format article
author Gema Fernández-Rivas
Belén Rivaya
Nona Romaní
Jun Hao Wang Wang
Mireya Alcaide
Lurdes Matas
author_facet Gema Fernández-Rivas
Belén Rivaya
Nona Romaní
Jun Hao Wang Wang
Mireya Alcaide
Lurdes Matas
author_sort Gema Fernández-Rivas
title Automated parasitological diagnosis in clinical microbiology laboratories
title_short Automated parasitological diagnosis in clinical microbiology laboratories
title_full Automated parasitological diagnosis in clinical microbiology laboratories
title_fullStr Automated parasitological diagnosis in clinical microbiology laboratories
title_full_unstemmed Automated parasitological diagnosis in clinical microbiology laboratories
title_sort automated parasitological diagnosis in clinical microbiology laboratories
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/911f7ba98783447e8efc5e6023f0ee83
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