Diagnosis of COVID-19 by exhaled breath analysis using gas chromatography-mass spectrometry.
ERJ Open Res
; 7(3)2021 Jul.
Article
en En
| MEDLINE
| ID: mdl-34235208
ABSTRACT
BACKGROUND:
The ongoing coronavirus disease 2019 (COVID-19) pandemic has claimed over two and a half million lives worldwide so far. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is perceived to be seasonally recurrent, and a rapid noninvasive biomarker to accurately diagnose patients early on in their disease course will be necessary to meet the operational demands for COVID-19 control in the coming years.OBJECTIVE:
The aim of this study was to evaluate the role of exhaled breath volatile biomarkers in identifying patients with suspected or confirmed COVID-19 infection, based on their underlying PCR status and clinical probability.METHODS:
A prospective, real-world, observational study was carried out, recruiting adult patients with suspected or confirmed COVID-19 infection. Breath samples were collected using a standard breath collection bag, modified with appropriate filters to comply with local infection control recommendations, and samples were analysed using gas chromatography-mass spectrometry (TD-GC-MS).RESULTS:
81 patients were recruited between April 29 and July 10, 2020, of whom 52 out of 81 (64%) tested positive for COVID-19 by reverse transcription-polymerase chain reaction (RT-PCR). A regression analysis identified a set of seven exhaled breath features (benzaldehyde, 1-propanol, 3,6-methylundecane, camphene, beta-cubebene, iodobenzene and an unidentified compound) that separated PCR-positive patients with an area under the curve (AUC) 0.836, sensitivity 68%, specificity 85%.CONCLUSIONS:
GC-MS-detected exhaled breath biomarkers were able to identify PCR-positive COVID-19 patients. External replication of these compounds is warranted to validate these results.
Texto completo:
1
Banco de datos:
MEDLINE
Tipo de estudio:
Diagnostic_studies
/
Guideline
/
Observational_studies
/
Prognostic_studies
Idioma:
En
Revista:
ERJ Open Res
Año:
2021
Tipo del documento:
Article
País de afiliación:
Reino Unido