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@ARTICLE{Lbke:910348,
author = {Lübke, Nadine and Repges, Katharina and Menne, Christopher
and Walker, Andreas and Jensen, Björn-Erik O. and Freise,
Noemi F. and Gliga, Smaranda and Eickhoff, Simon and Bosse,
Hans Martin and Adams, Ortwin and Timm, Jörg},
title = {{Q}uantitative analysis of different respiratory specimens
on two automated test systems for detection of
{SARS}-{C}o{V}-2 {RNA}},
journal = {Diagnostic microbiology and infectious disease},
volume = {105},
number = {1},
issn = {0732-8893},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2022-03767},
pages = {115800 -},
year = {2023},
abstract = {Molecular testing of SARS-CoV-2 RNA is essential during the
pandemic. Here, we compared the results of different
respiratory specimens including anterior nasal swabs,
pharyngeal swabs, saliva swabs, and gargle lavage samples to
nasopharyngeal swabs on two automated SARS-CoV-2 test
systems. Samples were collected and tested simultaneously
from a total of 36 hospitalized symptomatic COVID-19
patients. Detection and quantification of SARS-CoV-2 was
performed on cobas®6800 (Roche) and NeuMoDx™ (Qiagen)
systems. Both assays showed reliable detection and
quantification of SARS-CoV-2 RNA, with nasopharyngeal swabs
showing the highest sensitivity. SARS-CoV-2 RNA
concentrations in other respiratory specimens were lower
(mean 2.5 log10 copies/ml) or even undetectable in up to
$20\%.$ These data clearly indicate that not all respiratory
materials are equally suitable for the management of
hospitalized patients, especially, in the late phase of
COVID-19, when the viral phase subsides and inflammation
becomes the predominant factor, making detection of even
lower viral loads increasingly important.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5253 - Neuroimaging (POF4-525)},
pid = {G:(DE-HGF)POF4-5253},
typ = {PUB:(DE-HGF)16},
pubmed = {36252283},
UT = {WOS:000878990200001},
doi = {10.1016/j.diagmicrobio.2022.115800},
url = {https://juser.fz-juelich.de/record/910348},
}