Semi-quantitative assessment of gastrointestinal viruses in stool samples with Seegene Allplex gastrointestinal panel assays: a solution to the interpretation problem of multiple pathogen detection?

Ct values Enteric viruses Multiplex PCR Syndromic testing Viral co-infections

Journal

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology
ISSN: 1435-4373
Titre abrégé: Eur J Clin Microbiol Infect Dis
Pays: Germany
ID NLM: 8804297

Informations de publication

Date de publication:
26 Dec 2023
Historique:
received: 12 07 2023
accepted: 11 12 2023
medline: 26 12 2023
pubmed: 26 12 2023
entrez: 26 12 2023
Statut: aheadofprint

Résumé

The aim of the study was to determine and evaluate the clinical usefulness of pathogen specific semi-quantitative cut-offs in stool samples with multiple pathogen detections. The PCR (Seegene Allplex Gastrointestinal Virus Assay) data from 4527 positive samples received over 16 months were retrospectively analyzed to investigate the distribution of the Ct values of each individual viral pathogen. By using interquartile ranges for each viral pathogen, pathogen specific semi-quantitative cut-offs were determined. After a thorough analysis of the Ct values, a well-founded decision to exclude all results with a Ct value higher than 35 was made. This approach made it possible to generate a more nuanced report and to facilitate clinical interpretation in case of mixed infections by linking a lower Ct value of a pathogen to a greater likelihood of being a relevant causative pathogen. Moreover, not reporting viral pathogens with a Ct value higher than 35 led to a significant reduction (p < 0.0001) of reported mixed infections compared to oversimplified qualitative or qualitative reporting. By omitting very high Ct values and reporting semi-quantitatively, value was added to the syndromic reports, leading to an easier to read lab report, especially in mixed infections.

Identifiants

pubmed: 38147237
doi: 10.1007/s10096-023-04739-x
pii: 10.1007/s10096-023-04739-x
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Auteurs

Bo Massa (B)

Department of Laboratory Medicine, AZ Delta, Roeselare, Belgium. bomassa97@gmail.com.

Steven Vervaeke (S)

Department of Laboratory Medicine, AZ Delta, Roeselare, Belgium.

Frederik Van Hoecke (F)

Department of Laboratory Medicine, AZ Delta, Roeselare, Belgium.
Department of Laboratory Medicine, Sint-Andries Hospital, Tielt, Belgium.

Classifications MeSH