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Voit, F.* ; Erber, J.* ; Feuerherd, M. ; Fries, H.* ; Bitterlich, N.* ; Diehl-Wiesenecker, E.* ; Gladis, S.* ; Lieb, J.* ; Protzer, U. ; Schneider, J.* ; Geisler, F.* ; Somasundaram, R.* ; Schmid, R.M.* ; Bauer, W.* ; Spinner, C.D.*

Rapid point-of-care detection of SARS-CoV-2 infection in exhaled breath using ion mobility spectrometry: A pilot study.

Eur. J. Med. Res. 28:318 (2023)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Background: An effective testing strategy is essential for pandemic control of the novel Coronavirus disease 2019 (COVID-19) caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Breath gas analysis can expand the available toolbox for diagnostic tests by using a rapid, cost-beneficial, high-throughput point-of-care test. We conducted a bi-center clinical pilot study in Germany to evaluate breath gas analysis using multi-capillary column ion mobility spectrometry (MCC-IMS) to detect SARS-CoV-2 infection. Methods: Between September 23, 2020, and June 11, 2021, breath gas measurements were performed on 380 patients (SARS-CoV-2 real-time polymerase chain reaction (PCR) positive: 186; PCR negative: 194) presenting to the emergency department (ED) with respiratory symptoms. Results: Breath gas analysis using MCC-IMS identified 110 peaks; 54 showed statistically significant differences in peak intensity between the SARS-CoV-2 PCR-negative and PCR-positive groups. A decision tree analysis classification resulted in a sensitivity of 83% and specificity of 86%, but limited robustness to dataset changes. Modest values for the sensitivity (74%) and specificity (52%) were obtained using linear discriminant analysis. A systematic search for peaks led to a sensitivity of 77% and specificity of 67%; however, validation by transferability to other data is questionable. Conclusions: Despite identifying several peaks by MCC-IMS with significant differences in peak intensity between PCR-negative and PCR-positive samples, finding a classification system that allows reliable differentiation between the two groups proved to be difficult. However, with some modifications to the setup, breath gas analysis using MCC-IMS may be a useful diagnostic toolbox for SARS-CoV-2 infection. Trial registration: This study was registered at ClinicalTrials.gov on September 21, 2020 (NCT04556318; Study-ID: HC-N-H-2004).
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Breath Gas Analysis ; Covid-19 ; Ion Mobility Spectrometry ; Sars-cov-2
Sprache englisch
Veröffentlichungsjahr 2023
HGF-Berichtsjahr 2023
ISSN (print) / ISBN 0949-2321
e-ISSN 2047-783X
Zeitschrift European Journal of Medical Research
Quellenangaben Band: 28, Heft: 1, Seiten: , Artikelnummer: 318 Supplement: ,
Verlag Bmc
Verlagsort Campus, 4 Crinan St, London N1 9xw, England
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Virology (VIRO)
POF Topic(s) 30203 - Molecular Targets and Therapies
Forschungsfeld(er) Immune Response and Infection
PSP-Element(e) G-502700-003
G-502799-701
Förderungen The authors would like to acknowledge the use of AI language models, specifically ChatGPT and DeepL, for their assistance in translation and grammar checks during the preparation of this manuscript. They would also like to express their gratitude to Edita
DOI 10.1186/s40001-023-01284-3
WOS ID 001161544800001
Scopus ID 85169532261
PubMed ID 37660038
Erfassungsdatum 2023-10-18
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