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Diagnosis of COVID-19 by analysis of breath with gas chromatography-ion mobility spectrometry - a feasibility study
- Source :
- Ruszkiewicz, D M, Sanders, D, O'Brien, R, Hempel, F, Reed, M J, Riepe, A C, Bailie, K, Brodrick, E, Darnley, K, Ellerkmann, R, Mueller, O, Skarysz, A, Truss, M, Wortelmann, T, Yordanov, S, Thomas, C L P, Schaaf, B & Eddleston, M 2020, ' Diagnosis of COVID-19 by analysis of breath with gas chromatography-ion mobility spectrometry-a feasibility study ', EClinicalMedicine, pp. 100609 . https://doi.org/10.1016/j.eclinm.2020.100609, EClinicalMedicine
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Background: There is an urgent need to rapidly distinguish Covid-19 from other respiratory conditions, including influenza, at first-presentation. Point-of-care tests not requiring laboratory-support will speed diagnosis and protect health-care staff. We studied the feasibility of using breath-analysis to distinguish these conditions with near-patient gas chromatography-ion mobility spectrometry (GC-IMS). Methods: Independent studies at Edinburgh, UK, and Dortmund, Germany, recruited adult patients with possible Covid-19 at hospital presentation. Participants gave a single breath-sample for volatile organic compounds analysis by GC-IMS. Covid-19 infection was identified by RT-qPCR of oral/nasal swabs together with clinical-review. Following correction for environmental contaminants, potential Covid-19 breath-biomarkers were identified by multi-variate analysis and comparison to GC-IMS databases. A Covid-19 breath-score based on the relative abundance of a panel of volatile organic compounds was proposed and tested against the cohort data. Findings: Ninety-eight patients were recruited, of whom 21/33 (63.6%) and 10/65 (15.4%) had Covid-19 in Edinburgh and Dortmund, respectively. Other diagnoses included asthma, COPD, bacterial pneumonia, and cardiac conditions. Multivariate analysis identified aldehydes (ethanal, octanal), ketones (acetone, butanone), and methanol that discriminated Covid-19 from other conditions. An unidentified-feature with significant predictive power for severity/death was isolated in Edinburgh, while heptanal was identified in Dortmund. Differentiation of patients with definite diagnosis (25 and 65) of Covid-19 from non-Covid-19 was possible with 80% and 81.5% accuracy in Edinburgh and Dortmund respectively (sensitivity/specificity 82.4%/75%; area-under-the-receiver-operator-characteristic [AUROC] 0.87 95% CI 0.67 to 1) and Dortmund (sensitivity/ specificity 90%/80%; AUROC 0.91 95% CI 0.87 to 1). Interpretation: These two studies independently indicate that patients with Covid-19 can be rapidly distinguished from patients with other conditions at first healthcare contact. The identity of the marker compounds is consistent with Covid-19 derangement of breath-biochemistry by ketosis, gastrointestinal effects, and inflammatory processes. Development and validation of this approach may allow rapid diagnosis of Covid-19 in the coming endemic flu seasons. Funding Statement: MR was supported by an NHS Research Scotland Career Researcher Clinician award. DMR was supported by the University of Edinburgh ref COV_29 Declaration of Interests: The authors have nothing to declare. Ethics Approval Statement: Two independent studies were set up in the emergency departments of the Royal Infirmary of Edinburgh (RIE, Institutional Review Board ref RIE, 20/SS/0042), UK, and Klinikum Dortmund (KD, Institutional Review Board ref IfADo 176/2020), Germany.
- Subjects :
- medicine.medical_specialty
GC-IMS
Multivariate analysis
Coronavirus disease 2019 (COVID-19)
Covid-19 diagnostics
01 natural sciences
03 medical and health sciences
0302 clinical medicine
Breath-analysis
Internal medicine
Medicine
030212 general & internal medicine
0101 mathematics
Medical diagnosis
Royal infirmary
Asthma
Aldehydes
COPD
Adult patients
Multi-variate analysis
business.industry
Methanol
010102 general mathematics
Bacterial pneumonia
General Medicine
Ketones
Institutional review board
medicine.disease
Breath gas analysis
Gas chromatography-ion mobility spectrometry
Cohort
Breath-testing
business
Research Paper
Subjects
Details
- ISSN :
- 25895370
- Database :
- OpenAIRE
- Journal :
- EClinicalMedicine
- Accession number :
- edsair.doi.dedup.....a6aa8bb80c176f7a26728256f24c4c1d