Workflow optimization for syndromic diarrhea diagnosis using the molecular Seegene Allplex™ GI-Bacteria(I) assay.


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:
Jul 2020
Historique:
received: 13 12 2019
accepted: 29 01 2020
pubmed: 7 2 2020
medline: 3 2 2021
entrez: 7 2 2020
Statut: ppublish

Résumé

Syndromic panel-based molecular testing has been suggested to improve and accelerate microbiological diagnosis. We aimed to analyze workflow improvements when using the multiplex Seegene Allplex™ GI-Bacteria(I) assay as a first-line assay for bacterial diarrhea. Technical assay evaluation was done using spiked stool samples and stored patient samples. After implementation of the assay in the routine clinical workflow, an analysis of 5032 clinical samples analyzed by the Seegene assay and 4173 control samples examined by culture in a similar time period 1 year earlier was performed. Sensitivity of the assay was shown to be between 0.4 and 95.9 genome equivalents/PCR. For 159 positive patient samples with a composite reference of culture and/or a molecular assay, the sensitivity of the assay was 100% for Campylobacter, 92% for Salmonella, 89% for Aeromonas, and 83% for Shigella. Sensitivity for C. difficile toxin B detection was 93.9%. The comparison of clinical samples obtained in two 8-month periods showed increased detection rates for Aeromonas (2.90%vs. 0.34%), Campylobacter spp. (2.25% vs. 1.34%), Shigella spp. (0.42% vs. 0.05%) whereas detection of Salmonella was slightly decreased (0.46% vs. 0.67%) when using the Seegene assay. An analysis of the time-to-result showed that the median dropped from 52.7 to 26.4 h when using the molecular panel testing. The Seegene Allplex™ GI-Bacteria(I) assay allows accelerated, reliable detection of major gastrointestinal bacteria roughly within 1 day. Workload is reduced, specifically in a low-prevalence setting.

Identifiants

pubmed: 32026192
doi: 10.1007/s10096-020-03837-4
pii: 10.1007/s10096-020-03837-4
pmc: PMC7303052
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1245-1250

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Auteurs

Stefan Zimmermann (S)

Department for Infectious Diseases, Medical Microbiology and Hygiene, University Hospital Heidelberg, Heidelberg, Germany.

Susanne Horner (S)

Department for Infectious Diseases, Medical Microbiology and Hygiene, University Hospital Heidelberg, Heidelberg, Germany.

Martin Altwegg (M)

Bioanalytica AG, Lucerne, Switzerland.

Alexander H Dalpke (AH)

Department for Infectious Diseases, Medical Microbiology and Hygiene, University Hospital Heidelberg, Heidelberg, Germany. alexander.dalpke@ukdd.de.
Institute of Medical Microbiology and Hygiene, Medical Faculty, Technische Universität Dresden, Dresden, Germany, Fetscherstraße 74, 01307, Dresden, Germany. alexander.dalpke@ukdd.de.

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Classifications MeSH