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Discriminatory ability of gas chromatography-ion mobility spectrometry to identify patients hospitalised with COVID-19 and predict prognosis
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Nazareth, Joshua, Pan, Daniel, Kim, Jee Whang, Leach, Jack, Brosnan, James G., Ahmed, Adam, Brodrick, Emma, Bird, Paul, Wicaksono, Alfian N., Daulton, Emma, Tang, Julian W., Williams, Caroline, Haldar, Pranabashis, Covington, James A., Pareek, Manish and Sahota, Amandip S. (2022) Discriminatory ability of gas chromatography-ion mobility spectrometry to identify patients hospitalised with COVID-19 and predict prognosis. Open Forum Infectious Diseases, 9 (11). ofac509. doi:10.1093/ofid/ofac509 ISSN 2328-8957. [ 🗎 Public]. [ (✓) hoa:511 ]
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WRAP-Discriminatory-ability-of-gas-chromatography-ion-mobility-spectrometry-to-identify-patients-hospitalised-with-COVID-19-Covington-2022.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (526Kb) | Preview |
Official URL: https://doi.org/10.1093/ofid/ofac509
Abstract
Objectives Rapid diagnostic and prognostic tests for COVID-19 are urgently required. We aimed to evaluate the diagnostic and prognostic ability of breath analysis using gas chromatography-ion mobility spectrometry (GC-IMS) in hospitalised patients with COVID-19. Methods Between February and May 2021, we took one breath sample for analysis using GC-IMS from participants who were admitted to hospital for COVID-19, participants who were admitted to hospital for other respiratory infections, and symptom-free controls, at the University Hospitals of Leicester NHS Trust, UK. Demographic, clinical, and radiological data, including requirement for continuous positive airway pressure (CPAP) ventilation as a marker for severe disease in the COVID-19 group, was collected. Results 113 participants were recruited into the study. 72 (64%) were diagnosed with COVID-19; 20 (18%) diagnosed with another respiratory infection, and 21 (19%) healthy controls. Differentiation between participants with COVID-19 and those with other respiratory tract infections with GC-IMS was highly accurate (sensitivity/specificity: 0.80/0.88; [AUROC] 0.85; 95% confidence intervals: CI [0.74-0.96]). GC-IMS was also moderately accurate at identifying those who subsequently required CPAP (sensitivity/specificity 0.62/0.80; [AUROC] 0.70; 95% CI [0.53-0.87]). Conclusions GC-IMS shows promise as both a diagnostic tool and a predictor of prognosis in hospitalised patients with COVID-19 and should be assessed further in larger studies.
| Item Type: | Journal Article | ||||||||
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| Subjects: | Q Science > QC Physics R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
| SWORD Depositor: | Library Publications Router | ||||||||
| Library of Congress Subject Headings (LCSH): | COVID-19 (Disease) -- Diagnosis, Volatile organic compounds -- Health aspects, Gas chromatography, Mass spectrometry, Breath tests | ||||||||
| Journal or Publication Title: | Open Forum Infectious Diseases | ||||||||
| Publisher: | Oxford University Press | ||||||||
| ISSN: | 2328-8957 | ||||||||
| Official Date: | November 2022 | ||||||||
| Dates: |
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| Volume: | 9 | ||||||||
| Number: | 11 | ||||||||
| Article Number: | ofac509 | ||||||||
| DOI: | 10.1093/ofid/ofac509 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||
| Date of first compliant deposit: | 14 November 2022 | ||||||||
| Date of first compliant Open Access: | 14 November 2022 |
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