guest ::
| Home > Publications database > Quantitative analysis of different respiratory specimens on two automated test systems for detection of SARS-CoV-2 RNA > print |
| Home > Publications database > Quantitative analysis of different respiratory specimens on two automated test systems for detection of SARS-CoV-2 RNA > print |
| 001 | 910348 | ||
| 005 | 20240226075322.0 | ||
| 024 | 7 | _ | |a 10.1016/j.diagmicrobio.2022.115800 |2 doi |
| 024 | 7 | _ | |a 0732-8893 |2 ISSN |
| 024 | 7 | _ | |a 1879-0070 |2 ISSN |
| 024 | 7 | _ | |a 2128/32351 |2 Handle |
| 024 | 7 | _ | |a 36252283 |2 pmid |
| 024 | 7 | _ | |a WOS:000878990200001 |2 WOS |
| 037 | _ | _ | |a FZJ-2022-03767 |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Lübke, Nadine |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Quantitative analysis of different respiratory specimens on two automated test systems for detection of SARS-CoV-2 RNA |
| 260 | _ | _ | |a Amsterdam [u.a.] |c 2023 |b Elsevier Science |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1667494229_8821 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a 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. |
| 536 | _ | _ | |a 5253 - Neuroimaging (POF4-525) |0 G:(DE-HGF)POF4-5253 |c POF4-525 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
| 700 | 1 | _ | |a Repges, Katharina |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Menne, Christopher |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Walker, Andreas |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Jensen, Björn-Erik O. |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Freise, Noemi F. |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Gliga, Smaranda |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Eickhoff, Simon |0 P:(DE-Juel1)131678 |b 7 |u fzj |
| 700 | 1 | _ | |a Bosse, Hans Martin |0 P:(DE-HGF)0 |b 8 |
| 700 | 1 | _ | |a Adams, Ortwin |0 P:(DE-HGF)0 |b 9 |
| 700 | 1 | _ | |a Timm, Jörg |0 P:(DE-HGF)0 |b 10 |
| 773 | _ | _ | |a 10.1016/j.diagmicrobio.2022.115800 |g Vol. 105, no. 1, p. 115800 - |0 PERI:(DE-600)2026024-6 |n 1 |p 115800 - |t Diagnostic microbiology and infectious disease |v 105 |y 2023 |x 0732-8893 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/910348/files/1-s2.0-S0732889322001663-main.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:910348 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |a HHU Düsseldorf |0 I:(DE-HGF)0 |b 0 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a HHU Düsseldorf |0 I:(DE-HGF)0 |b 1 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a HHU Düsseldorf |0 I:(DE-HGF)0 |b 2 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a HHU Düsseldorf |0 I:(DE-HGF)0 |b 3 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a HHU Düsseldorf |0 I:(DE-HGF)0 |b 4 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a HHU Düsseldorf |0 I:(DE-HGF)0 |b 5 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a HHU Düsseldorf |0 I:(DE-HGF)0 |b 6 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 7 |6 P:(DE-Juel1)131678 |
| 910 | 1 | _ | |a HHU Düsseldorf |0 I:(DE-HGF)0 |b 7 |6 P:(DE-Juel1)131678 |
| 910 | 1 | _ | |a HHU Düsseldorf |0 I:(DE-HGF)0 |b 8 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a HHU Düsseldorf |0 I:(DE-HGF)0 |b 9 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a HHU Düsseldorf |0 I:(DE-HGF)0 |b 10 |6 P:(DE-HGF)0 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-525 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Decoding Brain Organization and Dysfunction |9 G:(DE-HGF)POF4-5253 |x 0 |
| 914 | 1 | _ | |y 2023 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2021-02-04 |
| 915 | _ | _ | |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 |0 LIC:(DE-HGF)CCBYNCND4 |2 HGFVOC |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2021-02-04 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2021-02-04 |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2023-08-23 |w ger |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2023-08-23 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2023-08-23 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2023-08-23 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2023-08-23 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2023-08-23 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1110 |2 StatID |b Current Contents - Clinical Medicine |d 2023-08-23 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b DIAGN MICR INFEC DIS : 2022 |d 2023-08-23 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-08-23 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2023-08-23 |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2023-08-23 |
| 915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |d 2023-08-23 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-7-20090406 |k INM-7 |l Gehirn & Verhalten |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)INM-7-20090406 |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|