Diagnosing viral gastro-enteritis using the fully automated sample-in, result-out STARlet All in one system (AIOS) Article Swipe
Eric C. J. Claas
,
Youssef Rezek
,
Luuk Sterk
,
Anne Russcher
,
Fabienne B. Verhees
,
Anja Johanna Heijne-Tol
,
Paul H.M. Smits
,
R.H.T. Nijhuis
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.jviromet.2024.114985
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.jviromet.2024.114985
The STARlet All-In-One system is a modular platform that integrates the complete molecular diagnostic workflow from nucleic acid extraction of clinical samples to PCR set-up and amplification. The platform was evaluated in comparison with laboratory developed tests (LDT) on fecal samples from patients with suspected viral gastro-enteritis. In a retrospective study, 72 positive samples were analysed, including all pathogens detected by the Seegene Allplex™ GI-virus assay, adenovirus, astrovirus, norovirus GI and GII, sapovirus, and rotavirus. Concordant results were obtained for 69 samples (96 %). Three discordant results were observed, one norovirus GII positive that gave an invalid result in the AIOS and two samples that were negative in the AIOS. One adenovirus positive that was subtyped as a genotype 2 virus, which is not associated with gastro-enteritis, and a sapovirus. In the prospective part of the study, 661 fecal samples were included. A total of 61 positive samples were detected, of which 60 were also detected by the AIOS. One norovirus GII positive sample (CT 35.2) was tested negative in the AIOS. Two additional sapovirus positive samples, CT 37 and 38, were detected by the AIOS but not by the LDT. The STARlet All-In-One platforms results in an automated molecular workflow with reduced hands-on time and enables running assays during out of office hours. Application of the Seegene Allplex™ GI-virus assay showed excellent concordance to the current diagnostic LDT. In a prospective comparison, only three discordant results were observed, all with CT values over 35 and therefore unlikely of clinical relevance.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.jviromet.2024.114985
- OA Status
- hybrid
- Cited By
- 2
- References
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- Related Works
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4399693801Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.jviromet.2024.114985Digital Object Identifier
- Title
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Diagnosing viral gastro-enteritis using the fully automated sample-in, result-out STARlet All in one system (AIOS)Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-06-14Full publication date if available
- Authors
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Eric C. J. Claas, Youssef Rezek, Luuk Sterk, Anne Russcher, Fabienne B. Verhees, Anja Johanna Heijne-Tol, Paul H.M. Smits, R.H.T. NijhuisList of authors in order
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https://doi.org/10.1016/j.jviromet.2024.114985Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.jviromet.2024.114985Direct OA link when available
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Biology, Virology, Enteritis, Gastro-, Internal medicine, Medicine, Disease, Microbiology, RefluxTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 1, 2024: 1Per-year citation counts (last 5 years)
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33Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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