dc.contributor.author
Chen, Xi
dc.contributor.author
Yousef, Kaveh Pouran
dc.contributor.author
Duwe, Susanne
dc.contributor.author
Karsch, Katharina
dc.contributor.author
Grover, Sandeep
dc.contributor.author
Wählisch, Stephanie
dc.contributor.author
Obermeier, Patrick
dc.contributor.author
Tief, Franziska
dc.contributor.author
Mühlhans, Susann
dc.contributor.author
Seeber, Lea
dc.contributor.author
Kleist, Max von
dc.contributor.author
Schweiger, Brunhilde
dc.contributor.author
Rath, Barbara
dc.date.accessioned
2018-06-08T04:19:36Z
dc.date.available
2015-09-23T11:49:21.719Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/17061
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-21241
dc.description.abstract
Background Influenza infections induce considerable disease burden in young
children. Biomarkers for the monitoring of disease activity at the point-of-
care (POC) are currently lacking. Recent methodologies for fluorescence-based
rapid testing have been developed to provide improved sensitivities with the
initial diagnosis. The present study aims to explore the utility of second-
generation rapid testing during longitudinal follow-up of influenza patients
(Rapid Influenza Follow-up Testing = RIFT). Signal/control fluorescent
readouts (Quantitative Influenza Follow-up Testing = QIFT) are evaluated as a
potential biomarker for the monitoring of disease activity at the POC. Methods
and Findings RIFT (SOFIA) and QIFT were performed at the POC and compared to
blinded RT-PCR at the National Reference Centre for Influenza. From
10/2011-4/2013, a total of 2048 paediatric cases were studied prospectively;
273 cases were PCR-confirmed for influenza. During follow-up, RIFT results
turned negative either prior to PCR (68%), or simultaneously (30%). The first
negative RIFT occurred after a median of 8 days with a median virus load (VL)
of 5.6×10∧3 copies/ml and cycle threshold of 37, with no evidence of viral
rebound. Binning analysis revealed that QIFT differentiated accurately between
patients with low, medium and high viral titres. QIFT increase/decrease showed
88% agreement (sensitivity = 52%, specificity = 95%) with VL
increase/decrease, respectively. QIFT-based viral clearance estimates showed
similar values compared to PCR-based estimates. Variations in viral clearance
rates were lower in treated compared to untreated patients. The study was
limited by use of non-invasive, semi-quantitative nasopharyngeal samples. VL
measurements below the limit of detection could not be quantified reliably.
Conclusions During follow-up, RIFT provides a first surrogate measure for
influenza disease activity. A “switch” from positive to negative values may
indicate a drop in viral load below a critical threshold, where rebound is no
longer expected. QIFT may provide a useful tool for the monitoring of disease
burden and viral clearance at the POC.
en
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject.ddc
500 Naturwissenschaften und Mathematik::510 Mathematik
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit
dc.title
Quantitative Influenza Follow-Up Testing (QIFT) - A Novel Biomarker for the
Monitoring of Disease Activity at the Point-of-Care
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
PLoS ONE. - 9 (2014), 3, Artikel Nr. e92500
dcterms.bibliographicCitation.doi
10.1371/journal.pone.0092500
dcterms.bibliographicCitation.url
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0092500
refubium.affiliation
Charité - Universitätsmedizin Berlin
de
refubium.mycore.fudocsId
FUDOCS_document_000000023154
refubium.note.author
Der Artikel wurde in einer Open-Access-Zeitschrift publiziert.
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000005430
dcterms.accessRights.openaire
open access