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Automated parasitological diagnosis in clinical microbiology laboratories
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 limit...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222325/ https://www.ncbi.nlm.nih.gov/pubmed/34162917 http://dx.doi.org/10.1038/s41598-021-92441-3 |
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author | Fernández-Rivas, Gema Rivaya, Belén Romaní, Nona Wang, Jun Hao Wang Alcaide, Mireya Matas, Lurdes |
author_facet | Fernández-Rivas, Gema Rivaya, Belén Romaní, Nona Wang, Jun Hao Wang Alcaide, Mireya Matas, Lurdes |
author_sort | Fernández-Rivas, Gema |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-8222325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82223252021-06-24 Automated parasitological diagnosis in clinical microbiology laboratories Fernández-Rivas, Gema Rivaya, Belén Romaní, Nona Wang, Jun Hao Wang Alcaide, Mireya Matas, Lurdes Sci Rep Article 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. Nature Publishing Group UK 2021-06-23 /pmc/articles/PMC8222325/ /pubmed/34162917 http://dx.doi.org/10.1038/s41598-021-92441-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Fernández-Rivas, Gema Rivaya, Belén Romaní, Nona Wang, Jun Hao Wang Alcaide, Mireya Matas, Lurdes Automated parasitological diagnosis in clinical microbiology laboratories |
title | 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_short | Automated parasitological diagnosis in clinical microbiology laboratories |
title_sort | automated parasitological diagnosis in clinical microbiology laboratories |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222325/ https://www.ncbi.nlm.nih.gov/pubmed/34162917 http://dx.doi.org/10.1038/s41598-021-92441-3 |
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